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Research Overview: Insurance In Singapore: Coronavirus (COVID-19) Sector Impact

GlobalDatas ‘Coronavirus (COVID-19) Sector Impact: Insurance – Singapore report provides brief review of the key trends and evolving developments that shape the impact of the COVID-19 outbreak in the Singaporean insurance industry.

This report provides a snapshot of the impact on the Singaporean insurance industry in light of the COVID-19 outbreak.

It provides the impact of COVID-19 on the Singaporean economy, the key business lines impacted by the virus outbreak and the revised market sizing estimates against pre-COVID-19 forecast period (2019-2023) across business segments of Life and General insurance.

The report brings together GlobalDatas research, modeling and analysis expertise, giving insurers access to information on segment dynamics in the country.

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Key Highlights

– Economic Impact.
– Impact of COVID-19 outbreak in the Singaporean insurance industry.
– Key measures undertaken at both policy and regulatory level.

Scope

This report provides a comprehensive analysis of the impact of COVID-19 in the Insurance Industry in Singapore –
– It provides historical values for the Singaporean insurance industry for the reports 2015-2019 review period, and pre-covid-19 projected and revised projected figures for the 2019-2023 forecast period.
– It offers an impact analysis of the key categories due to the COVID-19 outbreak in the Singaporean insurance industry, and market forecasts and revised forecasts to 2023.

Reasons to Buy

– Make strategic business decisions using in-depth historic and forecast market data related to the Singaporean insurance industry, and each category within it.
– Understand the key dynamics, trends and growth opportunities in the Singaporean insurance industry.
– Identify growth opportunities in key product categories.

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Table of Contents
COVID-19 Update
Impact on Economy
Insurance Industry: Market Sizing and Forecasts
Impact on Insurance Industry
Key Regulatory Updates
Life and General Insurance
Life Insurance Lines of Business
General Insurance Lines of Business
Appendix
Methodology
About GlobalData
Contacts

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Professional Survey Report: Impact on Travel and Tourism Social Media-COVID-19-Thematic Research

Social media has been vital for consumers, suppliers, workforce and partners to remain engaged amidst this exogenous event of COVID-19.

This thematic research report takes an in-depth look at the theme of Social Media and its impact on travel and tourism during COVID-19 affecting super-national organizations, DMOs, airlines, lodging providers, cruise operators and travel intermediaries. This report analyzes the major impacts that may become longstanding and then presents an array of case studies demonstrating the creative and innovative ways companies and organizations have acted during this time.

Social media has most openly been utilized as a tool for travel businesses and DMOs to maintain contact with consumers worldwide – to generate wanderlust and look towards recovery when travel is once again possible.Even though the battle with COVID-19 is now beginning to lessen and restrictions are easing, it is clear there will be long-standing impacts on consumer behavior and social media is one of the major themes that will drive future changes.

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Key Highlights

– To escape stringent lockdown restrictions, browsing time across social media platforms has dramatically increased. For optimized results, companies and governmental organizations alike need to be investing in multi-channel engagement to generate the best interest. Platforms such as Instagram, Facebook and Youtube have been most commonly used but TikTok clearly has untapped marketing potential.
– User generated content (UGC) offers an unvarnished personal experience of a brand and will likely be heavily relied upon in future travel decisions. This further poses that online reputational management will be key to battle consumer angst following the offset of this pandemic.
– This has been a critical time for consumer engagement but industries that have invested in workforce and supplier partnerships will undoubtedly emerge more united and in a stronger position for recovery.
– Numerous travel suppliers and DMOs have worked with influencers in the past to attract younger generations that frequent these channels. Elite and young independent travelers are identified as the most daring and first to embark on international travel but influencers hold high potential and their value should not be underestimated.
– To ease uncertainties, travel marketers across all industries need to be discoverable across Chinese social media platforms such as Weibo and Wechat to hinder negativity and reform trust. Anti-Asian racism fears are real and this engagement will be critical to battle negativity and service the largest outbound source market in the world.

Scope

– This thematic report provides an overview of the impact of COVID-19 on travel and tourism social media.
– The key trends within this theme look to COVID-19, the experience economy, niche tourism, online travel and social currency – but an array of themes are relevant.
– Several case studies are included to identify the ways in which super-national organizations such as the United World Tourism Organization (UNWTO), DMOs, airlines, lodging providers, cruise operators and travel intermediaries are utilizing social media during this pandemic.
– Our unique thematic analysis deep dives into the long-standing impacts that will change consumer behavior on social media amidst this crisis and companies that are knowledgeable will likely be at the forefront for a stronger recovery.
– DMOs such as VisitNorway and TourismAustralia have most effectively utilized social media on the offset of this pandemic introducing video content, live and immersive experiences followed by interactive content for consumers and stakeholders alike.

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Reasons to Buy

– Understand how COVID-19 has impacted social media for the travel and tourism sector in both the short and long-term.
– See how these long-term impacts will drive consumer behavior and supply chain engagement post-pandemic that will help to form effective strategies to withstand this global crisis.
– Access how social media has been utilized across the sector during COVID-19 understanding how some industries and companies have been using this better than others and the reasons behind this.
– GlobalDatas thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors.
– It has a proven track record of identifying the important themes early, enabling companies to make the right investments ahead of the competition, and secure that all-important competitive advantage.

Table of Contents
COVID-19 IS NOW A MAJOR THEME FOR 2020
COVID-19 IMPACT ON TRAVEL AND TOURISM SOCIAL MEDIA
CASE STUDIES
Supranational organizations
Destination management organizations (DMOs)
Airlines
Lodging providers
Cruise operators
Travel intermediaries
COVID-19 IMPACT ON SOCIAL MEDIA
SOCIAL MEDIA SECTOR SCORECARD
Whos who
Thematic screen
Valuation screen
Risk screen
THEMATIC BRIEFING
What is COVID-19?
APPENDIX: OUR THEMATIC RESEARCH METHODOLOGY

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Deep Research: Impact On Consumer Behavior In The Americas: COVID-19 Survey Snapshot-Week 5

GlobalData is carrying out weekly consumer surveys in 11 countries between 25th March and 31st May 2020, to track consumer sentiment and shopping behavior during the Coronavirus (COVID19) pandemic. The sample size is 500 respondents per country, per week. The two countries in scope for the Americas are Brazil and the USA. Questions are consistent every week, and cover consumer opinions about COVID-19, buying behavior and product choices and impact of the Coronavirus (COVID19) outbreak on consumers’ lifestyle and activities. This report summarizes the key findings from responses in week 5.

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Key Highlights

– The majority of Brazilians (72%) and Americans (60%) are influenced by how a product/service influences their health and wellbeing. This highlights the importance for tourism businesses of being able to offer a safe and hygienic experience. The US Centers for Disease Control and Prevention (CDC) announced that the pandemic has not been controlled sufficiently by the cruise industry, this kind of criticism could be extremely damaging to industries like cruising when taking into account US opinion on health and wellbeing.
– A considerable number of Brazilians (44%) are now spending more time actively posting on social media more regularly than before the COVID-19 outbreak. Significantly fewer Americans (31%), but still a considerable number, are spending more time posting on social media.
– Over half of Brazilians and Americans have stopped going to entertainment outlets since the outbreak of COVID-19. This not only has a devastating impact on domestic tourism now, but also threatens domestic tourism in the future. There is a high chance that many people will avoid entertainment outlets such as cinemas, museums and other attractions for a considerable amount of time after restrictions have been lifted, severely damaging the locations that rely on attractions to bring in tourists.

Scope

– This report provides an insight into how the coronavirus pandemic is shaping consumer sentiment in Brazil and the USA.
– It summarizes key findings from the survey s responses and offers insight into how destinations and industry players can adapt to meet changing demands and needs.

Reasons to Buy

– Gain access to primary survey data results.
– Understand how the coronavirus pandemic is changing consumer attitudes.
– Assess how you can adapt your business plans and strategies to better meet these changing needs.

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Table of Contents
COVID-19 Impact on Consumer Behavior Americas Week 5
Americans and Brazilians are both becoming more concerned by COVID-19
Customers could become increasingly frugal
International and domestic travel plans have been affected similarly
Companies need to interact with customers
In Brazil and the US, online reviews and blogs are assuming greater importance
Contact Us

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Most Definitive & Accurate Study on Home Healthcare Market In India 2020

Home healthcare refers to the supportive and cost-effective medical assistance received at home for any kind of illness or injury. The home healthcare market in India mainly offers at-home health testing facilities, home diagnostic remedies, at-home doctor consultations and home healthcare services.

Market insights: 

The home healthcare sector in India accounted for approximately 3.6% of India’s overall healthcare industry earning in 2019. The home healthcare market in India was valued at INR 295.70 Bn in 2019. It is expected to expand at a compound annual growth rate (CAGR) of ~18.91% during the 2020-2025 period, to reach a value of INR 1,117.29 Bn by 2025. Rise in aging population and increased prevalence of chronic ailments like hypertension, diabetes, arthritis, cancer and cardiovascular diseases are propelling the growth of the market in India. Inadequate doctor-patient ratio in the country and cost-effective nature of home healthcare services are some of the other important factors driving the market. However, the lack of adequate insurance coverage for the treatments to be conducted at home, is impeding its growth.

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Segment Insights: 

The home healthcare market is broadly segmented into home healthcare services, home healthcare devices and home healthcare solutions. As of 2019, the home healthcare market was dominated by the home healthcare service segment, which accounted for ~54.40% of the total market revenue. By 2025, the market share of the home healthcare services segment is expected to decline by ~14.40% to hold round 40% of the overall home healthcare market revenue. During the 2020-2025 period, the home healthcare solutions segment is anticipated to become the fastest growing segment of the market as a result of social distancing and self-isolation norms imposed to curb the spread of COVID-19. By 2025, the home healthcare devices and home healthcare solution segments are expected to hold ~15.70% and ~44.30% shares, respectively, in terms of market revenue.

COVID-19 impact analysis:

The outbreak of the Coronavirus disease, followed by a long-term global lockdown has had a severe impact on the overall home healthcare market in India. The telehealth solutions, health screening and monitoring devices, and home nursing services segments are likely to witness a significant growth amid the worldwide crisis. Perpetuation of social distancing norms, exhaustion of outdoor medical capacities, and initiatives undertaken by the Indian government to encourage at-home treatments and telehealth solutions are likely to accelerate market growth. Other home healthcare segments anticipated to be positively influenced during this period include health diagnostic devices, at-home therapeutic services and other medical supplies.

Companies covered

  • Apollo Home Healthcare Limited
  • CallHealth Services Private Limited
  • Care24
  • Critical Care Unified Private Limited
  • Guardian Angel Homecare Private Limited
  • Healthcare At Home Private Limited
  • India Home Health Care Private Limited
  • Life Circle Health Services Private Limited
  • Medwell Ventures Private Limited
  • Portea Medical Private Limited
  • Practo Technologies Private Limited
  • Lybrate India Private Limited

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Table of Content

Chapter 1: Executive summary 

Chapter 2: Socio-economic indicators

Chapter 3: Introduction
3.1. Market definition and structure

Chapter 4: Telehealth and telemedicine services in home healthcare
4.1. Telehealth and telemedicine in home healthcare

Chapter 5: Market overview 
5.1. India home healthcare market – overview
5.1.1. Market size and growth forecast based on value (2018-2025e)

Chapter 6: Market segmentation
6.1. India home healthcare market – segmentation
6.1.1. India home healthcare market share based on type (2019-2025e)
6.1.2. India home healthcare services market size and growth forecast (2018-2025e)
6.1.3. India home healthcare devices market size and growth forecast (2018-2025e)
6.1.4. India home healthcare solutions market size and growth forecast (2018-2025e)

Chapter 7: Impact of COVID-19
7.1. Impact of COVID-19
7.1.1. COVID-19 and its impact on the overall home healthcare market
7.1.2. The Indian government’s take on the pandemic, influencing the home healthcare market
7.1.3. Growth initiatives and developments undertaken by market players

Chapter 8: Market influencers
8.1. Market drivers
8.2. Market challenges

Chapter 9: Competitive landscape
9.1. Key players
9.1.1. Apollo Home Healthcare Limited
Company information
Business description
Products/services
Key people
Note: Similar information covered for all other companies on best effort basis
9.1.2. CallHealth Services Private Limited
9.1.3. Care24
9.1.4. Critical Care Unified Private Limited
9.1.5. Guardian Angel Homecare Private Limited
9.1.6. Healthcare At Home Private Limited
9.1.7. India Home Health Care Private Limited
9.1.8. Life Circle Health Services Private Limited
9.1.9. Medwell Ventures Private Limited
9.1.10. Portea Medical Private Limited
9.2. Emerging telehealth companies
9.2.1. Practo Technologies Private Limited
9.2.2. Lybrate India Private Limited

Chapter 10: Innovation and strategies
10.1. Innovation and strategies – top players

Chapter 11: Funding scenario
11.1. Funding scenario (since 2017)

Chapter 12: Appendix
12.1. Research methodology
12.2. About Netscribes
12.3. Disclaimer

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Coronavirus Outbreak: Big Data In The Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The healthcare and pharmaceutical industry is no exception to this trend, where Big Data has found a host of applications ranging from drug discovery and precision medicine to clinical decision support and population health management.

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SNS Research estimates that Big Data investments in the healthcare and pharmaceutical industry will account for nearly $4 Billion in 2017 alone.  Led by a plethora of business opportunities for healthcare providers, insurers, payers, government agencies, pharmaceutical companies and other stakeholders, these investments are further expected to grow at a CAGR of more than 15% over the next three years.

The “Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 36 use cases, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

The report covers the following topics:

  •  Big Data ecosystem
  •  Market drivers and barriers
  •  Enabling technologies, standardization and regulatory initiatives
  •  Big Data analytics and implementation models
  •  Business case, application areas and use cases in the healthcare and pharmaceutical industry
  •  34 case studies of Big Data investments by healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders
  •  Future roadmap and value chain
  •  Company profiles and strategies of over 240 Big Data vendors
  •  Strategic recommendations for Big Data vendors, and healthcare and pharmaceutical industry stakeholders
  •  Market analysis and forecasts from 2017 till 2030

Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services

  •  Hardware
  •  Software
  •  Professional Services

Horizontal Submarkets

  •  Storage & Compute Infrastructure
  •  Networking Infrastructure
  •  Hadoop & Infrastructure Software
  •  SQL
  •  NoSQL
  •  Analytic Platforms & Applications
  •  Cloud Platforms
  •  Professional Services

Application Areas

  •  Pharmaceutical & Medical Products
  •  Core Healthcare Operations
  •  Healthcare Support, Awareness & Disease Prevention
  •  Health Insurance & Payer Services
  •  Marketing, Sales & Other Applications

Use Cases

  •  Drug Discovery, Design & Development
  •  Medical Product Design & Development
  •  Clinical Development & Trials
  •  Precision Medicine & Genomics
  •  Manufacturing & Supply Chain Management
  •  Post-Market Surveillance & Pharmacovigilance
  •  Medical Product Fault Monitoring
  •  Clinical Decision Support
  •  Care Coordination & Delivery Management
  •  CER (Comparative Effectiveness Research) & Observational Evidence
  •  Personalized Healthcare & Targeted Treatments
  •  Data-Driven Preventive Care & Health Interventions
  •  Surgical Practice & Complex Medical Procedures
  •  Pathology, Medical Imaging & Other Medical Tests
  •  Proactive & Remote Patient Monitoring
  •  Predictive Maintenance of Medical Equipment
  •  Pharmacy Services
  •  Self-Care & Lifestyle Support
  •  Medication Adherence & Management
  •  Vaccine Development & Promotion
  •  Population Health Management
  •  Connected Health Communities & Medical Knowledge Dissemination
  •  Epidemiology & Disease Surveillance
  •  Health Policy Decision Making
  •  Controlling Substance Abuse & Addiction
  •  Increasing Awareness & Accessible Healthcare
  •  Health Insurance Claims Processing & Management
  •  Fraud & Abuse Prevention
  •  Proactive Patient Engagement
  •  Accountable & Value-Based Care
  •  Data-Driven Health Insurance Premiums
  •  Marketing & Sales
  •  Administrative & Customer Services
  •  Finance & Risk Management
  •  Healthcare Data Monetization
  •  Other Use Cases

Regional Markets

  •  Asia Pacific
  •  Eastern Europe
  •  Latin & Central America
  •  Middle East & Africa
  •  North America
  •  Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

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Key Questions Answered

The report provides answers to the following key questions:

  •  How big is the Big Data opportunity in the healthcare and pharmaceutical industry?
  •  How is the market evolving by segment and region?
  •  What will the market size be in 2020 and at what rate will it grow?
  •  What trends, challenges and barriers are influencing its growth?
  •  Who are the key Big Data software, hardware and services vendors and what are their strategies?
  •  How much are healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders investing in Big Data?
  •  What opportunities exist for Big Data analytics in the healthcare and pharmaceutical industry?
  •  Which countries, application areas and use cases will see the highest percentage of Big Data investments in the healthcare and pharmaceutical industry?

Key Findings

The report has the following key findings:

  •  In 2017, Big Data vendors will pocket nearly $4 Billion from hardware, software and professional services revenues in the healthcare and pharmaceutical industry. These investments are further expected to grow at a CAGR of more than 15% over the next three years, eventually accounting for over $5.8 Billion by the end of 2020.
  •  Through the use of Big Data technologies, hospitals and other healthcare facilities have been able to achieve cost reductions of more than 10%, improvements in outcomes by as much as 20% for certain conditions, growth in revenue by 30%, and increase in patient access to services by more than 35%.
  •  Big Data technologies are playing a pivotal role in accelerating the transition towards accountable and value-based care models, by enabling the continuous collection, consolidation and analysis of clinical and operational data from healthcare facilities and other available data sources.
  •  Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry. Therefore, it is essential for key stakeholders to make significant investments in data encryption and cybersecurity, in addition to adopting defensible de-identification techniques and implementing strict restrictions on data use.

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List of Companies Mentioned

  • 1010data
  • Absolutdata
  • Accenture
  • ACR (American College of Radiology)
  • Actian Corporation
  • Adaptive Insights
  • Advizor Solutions
  • AeroSpike
  • Aetna
  • AFS Technologies
  • Alation
  • Algorithmia
  • Alluxio
  • Alphabet
  • Alpine Data
  • Alteryx
  • Ambient Clinical Analytics
  • AMD (Advanced Micro Devices)
  • Amino
  • Apixio
  • Arcadia Data
  • Arimo
  • ARM
  • ASF (Apache Software Foundation)
  • ASTM (American Society for Testing and Materials)
  • AstraZeneca
  • AtScale
  • Attivio
  • Attunity
  • Australian Digital Health Agency
  • Automated Insights
  • AWS (Amazon Web Services)
  • Axiomatics
  • Ayasdi
  • Bangkok Hospital Group
  • Basho Technologies
  • Bayer
  • BCG (Boston Consulting Group)
  • Bedrock Data
  • BetterWorks
  • Big Cloud Analytics
  • Big Panda
  • BigML
  • Birst
  • Bitam
  • Blue Medora
  • BlueData Software
  • BlueTalon
  • BMC Software
  • BOARD International
  • Booz Allen Hamilton
  • Boxever
  • CACI International
  • Cambridge Semantics
  • Capgemini
  • Cazena
  • CDC (Centers for Disease Control & Prevention)
  • Centerstone
  • Centrifuge Systems
  • CenturyLink
  • Chartio
  • Cincinnati Children’s Hospital Medical Center
  • Cisco Systems
  • Civis Analytics
  • ClearStory Data
  • Cloudability
  • Cloudera
  • Clustrix
  • CMS (U.S. Centers for Medicare & Medicaid Services)
  • CNIL (Data Protection Regulatory Authority, France)
  • CognitiveScale
  • Collibra
  • Concurrent Computer Corporation
  • Confluent
  • Contexti
  • Continuum Analytics
  • CosmosID
  • Couchbase
  • CrowdFlower
  • CSA (Cloud Security Alliance)
  • CSCC (Cloud Standards Customer Council)
  • CSIRO (Commonwealth Scientific and Industrial Research Organization)
  • Databricks
  • DataGravity
  • Dataiku
  • Datameer
  • DataRobot
  • DataScience
  • DataStax
  • DataTorrent
  • Datawatch Corporation
  • Datos IO
  • DDN (DataDirect Networks)
  • Decisyon
  • Dell Technologies
  • Deloitte
  • Demandbase
  • Denodo Technologies
  • Digital Reasoning Systems
  • Dimensional Insight
  • DMG  (Data Mining Group)
  • Dolphin Enterprise Solutions Corporation
  • Domino Data Lab
  • Domo
  • DriveScale
  • Dundas Data Visualization
  • DXC Technology
  • Eligotech
  • Engineering Group (Engineering Ingegneria Informatica)
  • EnterpriseDB
  • eQ Technologic
  • Ericsson
  • EXASOL
  • Express Scripts
  • Exscientia
  • Facebook
  • Faros Healthcare
  • FDA (U.S. Food and Drug Administration)
  • FICO (Fair Isaac Corporation)
  • Fractal Analytics
  • Fujitsu
  • Fuzzy Logix
  • Gainsight
  • GE (General Electric)
  • Genomics England
  • Ginger.io
  • Glassbeam
  • GNS Healthcare
  • Gold Coast Health
  • GoodData Corporation
  • Google
  • Greenwave Systems
  • GridGain Systems
  • GSK (GlaxoSmithKline)
  • Guavus
  • H2O.ai
  • HDS (Hitachi Data Systems)
  • Hedvig
  • HHS (U.S. Department of Health & Human Services)
  • HL7 (Health Level Seven)
  • HLI (Human Longevity Inc.)
  • Hortonworks
  • HPE (Hewlett Packard Enterprise)
  • Huawei
  • IBM Corporation
  • iDashboards
  • IEEE (Institute of Electrical and Electronics Engineers)
  • IHE (Integrating the Healthcare Enterprise)
  • Illumina
  • IMI (Innovative Medicines Initiative)
  • Impetus Technologies
  • INCITS (InterNational Committee for Information Technology Standards)
  • Incorta
  • INDS (National Institute of Health Data, France)
  • InetSoft Technology Corporation
  • Infer
  • Infor
  • Informatica Corporation
  • Information Builders
  • Infosys
  • Infoworks
  • Insightsoftware.com
  • InsightSquared
  • Intel Corporation
  • Interana
  • InterSystems Corporation
  • ISO (International Organization for Standardization)
  • ITU (International Telecommunications Union)
  • IU Health (Indiana University Health)
  • IURTC (Indiana University Research & Technology Corporation)
  • Jedox
  • Jethro
  • Jinfonet Software
  • Johnson & Johnson
  • Juniper Networks
  • KALEAO
  • KBV/NASHIP (National Association of Statutory Health Insurance Physicians, Germany)
  • Keen IO
  • Kinetica
  • KNIME
  • Kognitio
  • Kyvos Insights
  • Lavastorm
  • Lexalytics
  • Lexmark International
  • Linux Foundation
  • Logi Analytics
  • Longview Solutions
  • Looker Data Sciences
  • LucidWorks
  • Luminoso Technologies
  • Maana
  • Magento Commerce
  • Manthan Software Services
  • MapD Technologies
  • MapR Technologies
  • MariaDB Corporation
  • MarkLogic Corporation
  • Mathworks
  • Mayo Clinic
  • Medtronic
  • MemSQL
  • Merck & Co.
  • Merck KGaA
  • Metric Insights
  • Microsoft Corporation
  • MicroStrategy
  • Ministry of Health, Labor and Welfare, Japan
  • Minitab
  • MolecularMatch
  • MongoDB
  • MSQC (Michigan Surgical Quality Collaborative)
  • Mu Sigma
  • NCCS  (National Cancer Centre Singapore)
  • NCPDP (National Council for Prescription Drug Programs)
  • NEC Corporation
  • NEMA (National Electrical Manufacturers Association)
  • Neo Technology
  • NetApp
  • NHS (National Health Service, United Kingdom)
  • NHS England
  • NHS Scotland
  • Nimbix
  • NIST (U.S. National Institute of Standards and Technology)
  • Nokia
  • Novartis
  • NTT Data Corporation
  • Numerify
  • NuoDB
  • Nutonian
  • NVIDIA Corporation
  • OASIS (Organization for the Advancement of Structured Information Standards)
  • Oblong Industries
  • ODaF (Open Data Foundation)
  • ODCA (Open Data Center Alliance)
  • ODPi (Open Ecosystem of Big Data)
  • OGC (Open Geospatial Consortium)
  • OpenText Corporation
  • Opera Solutions
  • Optimal Plus
  • Optum
  • OptumLabs
  • Oracle Corporation
  • Palantir Technologies
  • Panorama Software
  • Paxata
  • Pentaho Corporation
  • Pepperdata
  • Pfizer
  • Phocas Software
  • Pivotal Software
  • Prognoz
  • Progress Software Corporation
  • Proteus Digital Health
  • PwC (PricewaterhouseCoopers International)
  • Pyramid Analytics
  • Qlik
  • Quantum Corporation
  • Qubole
  • Rackspace
  • Radius Intelligence
  • RapidMiner
  • Recorded Future
  • Red Hat
  • Redis Labs
  • RedPoint Global
  • Reltio
  • Roche
  • Rocket Fuel
  • Royal Philips
  • RStudio
  • Ryft Systems
  • Sailthru
  • Salesforce.com
  • Salient Management Company
  • Samsung Group
  • Sanofi
  • SAP
  • SAS Institute
  • ScaleDB
  • ScaleOut Software
  • SCIO Health Analytics
  • Seagate Technology
  • Seattle Children’s Hospital
  • Sickweather
  • Sinequa
  • SingHealth (Singapore Health Services)
  • SiSense
  • SnapLogic
  • Snowflake Computing
  • Software AG
  • Splice Machine
  • Splunk
  • Sproxil
  • Sqrrl
  • Strategy Companion Corporation
  • StreamSets
  • Striim
  • Sumo Logic
  • Supermicro (Super Micro Computer)
  • Syncsort
  • SynerScope
  • Tableau Software
  • Talena
  • Talend
  • Tamr
  • TARGIT
  • TCS (Tata Consultancy Services)
  • Teradata Corporation
  • The Weather Company
  • ThoughtSpot
  • TIBCO Software
  • Tidemark
  • TM Forum
  • Toshiba Corporation
  • TPC (Transaction Processing Performance Council)
  • Trifacta
  • U.S. Department of Energy
  • U.S. Department of Veterans Affairs
  • UN (United Nations)
  • UnitedHealth Group
  • University of Michigan
  • University of Utah Health Care
  • Unravel Data
  • VHA (U.S. Veterans Health Administration)
  • VMware
  • VoltDB
  • W3C (World Wide Web Consortium)
  • Waterline Data
  • Western Digital Corporation
  • WiPro
  • Workday
  • X12
  • Xplenty
  • Yellowfin International
  • Yseop
  • Zendesk
  • Zoomdata
  • Zucchetti

Table of Contents

1 Chapter 1: Introduction 24
1.1 Executive Summary 24
1.2 Topics Covered 26
1.3 Forecast Segmentation 27
1.4 Key Questions Answered 30
1.5 Key Findings 31
1.6 Methodology 32
1.7 Target Audience 33
1.8 Companies & Organizations Mentioned 34

2 Chapter 2: An Overview of Big Data 38
2.1 What is Big Data? 38
2.2 Key Approaches to Big Data Processing 38
2.2.1 Hadoop 39
2.2.2 NoSQL 41
2.2.3 MPAD (Massively Parallel Analytic Databases) 41
2.2.4 In-Memory Processing 42
2.2.5 Stream Processing Technologies 42
2.2.6 Spark 43
2.2.7 Other Databases & Analytic Technologies 43
2.3 Key Characteristics of Big Data 44
2.3.1 Volume 44
2.3.2 Velocity 44
2.3.3 Variety 44
2.3.4 Value 45
2.4 Market Growth Drivers 46
2.4.1 Awareness of Benefits 46
2.4.2 Maturation of Big Data Platforms 46
2.4.3 Continued Investments by Web Giants, Governments & Enterprises 47
2.4.4 Growth of Data Volume, Velocity & Variety 47
2.4.5 Vendor Commitments & Partnerships 47
2.4.6 Technology Trends Lowering Entry Barriers 48
2.5 Market Barriers 48
2.5.1 Lack of Analytic Specialists 48
2.5.2 Uncertain Big Data Strategies 48
2.5.3 Organizational Resistance to Big Data Adoption 49
2.5.4 Technical Challenges: Scalability & Maintenance 49
2.5.5 Security & Privacy Concerns 49

3 Chapter 3: Big Data Analytics 51
3.1 What are Big Data Analytics? 51
3.2 The Importance of Analytics 51
3.3 Reactive vs. Proactive Analytics 52
3.4 Customer vs. Operational Analytics 53
3.5 Technology & Implementation Approaches 53
3.5.1 Grid Computing 53
3.5.2 In-Database Processing 54
3.5.3 In-Memory Analytics 54
3.5.4 Machine Learning & Data Mining 54
3.5.5 Predictive Analytics 55
3.5.6 NLP (Natural Language Processing) 55
3.5.7 Text Analytics 56
3.5.8 Visual Analytics 57
3.5.9 Graph Analytics 57
3.5.10 Social Media, IT & Telco Network Analytics 58

4 Chapter 4: Business Case & Applications in the Healthcare & Pharmaceutical Industry 59
4.1 Overview & Investment Potential 59
4.2 Industry Specific Market Growth Drivers 60
4.3 Industry Specific Market Barriers 61
4.4 Key Applications 63
4.4.1 Pharmaceutical & Medical Products 63
4.4.1.1 Drug Discovery, Design & Development 63
4.4.1.2 Medical Product Design & Development 64
4.4.1.3 Clinical Development & Trials 64
4.4.1.4 Precision Medicine & Genomics 65
4.4.1.5 Manufacturing & Supply Chain Management 66
4.4.1.6 Post-Market Surveillance & Pharmacovigilance 68
4.4.1.7 Medical Product Fault Monitoring 68
4.4.2 Core Healthcare Operations 69
4.4.2.1 Clinical Decision Support 69
4.4.2.2 Care Coordination & Delivery Management 70
4.4.2.3 CER (Comparative Effectiveness Research) & Observational Evidence 71
4.4.2.4 Personalized Healthcare & Targeted Treatments 71
4.4.2.5 Data-Driven Preventive Care & Health Interventions 72
4.4.2.6 Surgical Practice & Complex Medical Procedures 72
4.4.2.7 Pathology, Medical Imaging & Other Medical Tests 73
4.4.2.8 Proactive & Remote Patient Monitoring 73
4.4.2.9 Predictive Maintenance of Medical Equipment 74
4.4.2.10 Pharmacy Services 74
4.4.3 Healthcare Support, Awareness & Disease Prevention 75
4.4.3.1 Self-Care & Lifestyle Support 75
4.4.3.2 Medication Adherence & Management 76
4.4.3.3 Vaccine Development & Promotion 77
4.4.3.4 Population Health Management 77
4.4.3.5 Connected Health Communities & Medical Knowledge Dissemination 78
4.4.3.6 Epidemiology & Disease Surveillance 79
4.4.3.7 Health Policy Decision Making 79
4.4.3.8 Controlling Substance Abuse & Addiction 80
4.4.3.9 Increasing Awareness & Accessible Healthcare 81
4.4.4 Health Insurance & Payer Services 81
4.4.4.1 Health Insurance Claims Processing & Management 81
4.4.4.2 Fraud & Abuse Prevention 82
4.4.4.3 Proactive Patient Engagement 83
4.4.4.4 Accountable & Value-Based Care 83
4.4.4.5 Data-Driven Health Insurance Premiums 84
4.4.5 Marketing, Sales & Other Applications 84
4.4.5.1 Marketing & Sales 84
4.4.5.2 Administrative & Customer Services 85
4.4.5.3 Finance & Risk Management 86
4.4.5.4 Healthcare Data Monetization 87
4.4.5.5 Other Applications 88

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Potential impact of coronavirus outbreak on Big Data In The Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The financial services industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and credit scoring to usage-based insurance, data-driven trading, fraud detection and beyond.

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SNS Telecom & IT estimates that Big Data investments in the financial services industry will account for nearly $9 Billion in 2018 alone. Led by a plethora of business opportunities for banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders and other stakeholders, these investments are further expected to grow at a CAGR of approximately 17% over the next three years.

The “Big Data in the Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the financial services industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030. The forecasts are segmented for 8 horizontal sub markets, 6 application areas, 11 use cases, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered

The report covers the following topics:

  • Big Data ecosystem
  • Market drivers and barriers
  • Enabling technologies, standardization and regulatory initiatives
  • Big Data analytics and implementation models
  • Business case, application areas and use cases in the financial services industry
  • 30 case studies of Big Data investments by banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders, and other stakeholders in the financial services industry
  • Future roadmap and value chain
  • Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
  • Strategic recommendations for Big Data vendors and financial services industry stakeholders
  • Market analysis and forecasts from 2018 till 2030

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Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services

  • Hardware
  • Software
  • Professional Services

Horizontal Sub markets

  • Storage & Compute Infrastructure
  • Networking Infrastructure
  • Hadoop & Infrastructure Software
  • SQL
  • NoSQL
  • Analytic Platforms & Applications
  • Cloud Platforms
  • Professional Services

Application Areas

  • Personal & Business Banking
  • Investment Banking & Capital Markets
  • Insurance Services
  • Credit Cards & Payment Processing
  • Lending & Financing
  • Asset & Wealth Management

Use Cases

  • Personalized & Targeted Marketing
  • Customer Service & Experience
  • Product Innovation & Development
  • Risk Modeling, Management & Reporting
  • Fraud Detection & Prevention
  • Robotic & Intelligent Process Automation
  • Usage & Analytics-Based Insurance
  • Credit Scoring & Control
  • Data-Driven Trading & Investment
  • Third Party Data Monetization
  • Other Use Cases

Regional Markets

  • Asia Pacific
  • Eastern Europe
  • Latin & Central America
  • Middle East & Africa
  • North America
  • Western Europe

Country Markets

Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered

The report provides answers to the following key questions:

  • How big is the Big Data opportunity in the financial services industry?
  • How is the market evolving by segment and region?
  • What will the market size be in 2021, and at what rate will it grow?
  • What trends, challenges and barriers are influencing its growth?
  • Who are the key Big Data software, hardware and services vendors, and what are their strategies?
  • How much are banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders and other stakeholders investing in Big Data?
  • What opportunities exist for Big Data analytics in the financial services industry?
  • Which countries, application areas and use cases will see the highest percentage of Big Data investments in the financial services industry?

Key Findings

The report has the following key findings:

  • In 2018, Big Data vendors will pocket nearly $9 Billion from hardware, software and professional services revenues in the financial services industry. These investments are further expected to grow at a CAGR of approximately 17% over the next three years, eventually accounting for over $14 Billion by the end of 2021.
  • Banks and other traditional financial services institutes are warming to the idea of embracing cloud-based platforms, particularly hybrid-cloud implementations, in a bid to alleviate the technical and scalability challenges associated with on-premise Big Data environments.
  • Big Data technologies are playing a pivotal role in facilitating the creation and success of innovative FinTech (Financial Technology) startups, most notably in the online lending, alterative insurance and money transfer sectors.
  • In addition to utilizing traditional information sources, financial services institutes are increasingly becoming reliant on alternative sources of data – ranging from social media to satellite imagery – that can provide previously hidden insights for multiple application areas including data-driven trading and investments, and credit scoring.

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List of Companies Mentioned

  • 1010data
  • Absolutdata
  • Acadian Asset Management
  • Accenture
  • Actian Corporation
  • Adaptive Insights
  • Adobe Systems
  • Advizor Solutions
  • AeroSpike
  • AFS Technologies
  • Alation
  • Algorithmia
  • Alluxio
  • Alphabet
  • ALTEN
  • Alteryx
  • AMD (Advanced Micro Devices)
  • American Express
  • Anaconda
  • Apixio
  • AQR Capital Management
  • Arcadia Data
  • Arimo
  • ARM
  • ASF (Apache Software Foundation)
  • AtScale
  • Attivio
  • Attunity
  • Automated Insights
  • Avant
  • AVORA
  • AWS (Amazon Web Services)
  • AXA
  • Axiomatics
  • Ayasdi
  • BackOffice Associates
  • Basho Technologies
  • BCG (Boston Consulting Group)
  • Bedrock Data
  • BetterWorks
  • Big Panda
  • BigML
  • Birst
  • Bitam
  • BlackRock
  • Bloomberg
  • Blue Medora
  • BlueData Software
  • BlueTalon
  • BMC Software
  • BOARD International
  • Booz Allen Hamilton
  • Boxever
  • CACI International
  • Cambridge Semantics
  • Capgemini
  • Capital One
  • Cazena
  • CBA/CommBank (Commonwealth Bank of Australia)
  • Centrifuge Systems
  • CenturyLink
  • Chartio
  • Cigna
  • Cisco Systems
  • Civis Analytics
  • ClearStory Data
  • Cloudability
  • Cloudera
  • Cloudian
  • Clustrix
  • CognitiveScale
  • Collibra
  • Concurrent Technology
  • Confluent
  • Contexti
  • Couchbase
  • Crate.io
  • Cray
  • Credit Suisse
  • CSA (Cloud Security Alliance)
  • CSCC (Cloud Standards Customer Council)
  • Databricks
  • Dataiku
  • Datalytyx
  • Datameer
  • DataRobot
  • DataStax
  • Datawatch Corporation
  • Datos IO
  • DDN (DataDirect Networks)
  • Decisyon
  • Dell Technologies
  • Deloitte
  • Demandbase
  • Denodo Technologies
  • Deutsche Bank
  • Dianomic Systems
  • Digital Reasoning Systems
  • Dimensional Insight
  • DMG  (Data Mining Group)
  • Dolphin Enterprise Solutions Corporation
  • Domino Data Lab
  • Domo
  • Dremio
  • DriveScale
  • Druva
  • Dun and Bradstreet
  • Dundas Data Visualization
  • DXC Technology
  • Eagle Alpha
  • Elastic
  • Engineering Group (Engineering Ingegneria Informatica)
  • EnterpriseDB Corporation
  • eQ Technologic
  • Equifax
  • Ericsson
  • Erwin
  • EV? (Big Cloud Analytics)
  • EXASOL
  • EXL (ExlService Holdings)
  • Facebook
  • Factset
  • FICO (Fair Isaac Corporation)
  • Figure Eight
  • FogHorn Systems
  • Fractal Analytics
  • Franz
  • Fujitsu
  • Fuzzy Logix
  • Gainsight
  • GE (General Electric)
  • Glassbeam
  • GoodData Corporation
  • Google
  • Grakn Labs
  • Greenwave Systems
  • GridGain Systems
  • Guavus
  • GuidePoint
  • H2O.ai
  • Hanse Orga Group
  • HarperDB
  • HCL Technologies
  • Hedvig
  • Hitachi Vantara
  • Hortonworks
  • HPE (Hewlett Packard Enterprise)
  • HSBC Group
  • Huawei
  • HVR
  • HyperScience
  • HyTrust
  • IBM Corporation
  • iDashboards
  • IDERA
  • IEC (International Electrotechnical Commission)
  • IEEE (Institute of Electrical and Electronics Engineers)
  • Ignite Technologies
  • Imanis Data
  • Impetus Technologies
  • INCITS (InterNational Committee for Information Technology Standards)
  • Incorta
  • InetSoft Technology Corporation
  • InfluxData
  • Infogix
  • Infor
  • Informatica
  • Information Builders
  • Infosys
  • Infoworks
  • Insightsoftware.com
  • InsightSquared
  • Intel Corporation
  • Interana
  • InterSystems Corporation
  • ISO (International Organization for Standardization)
  • ITU (International Telecommunication Union)
  • Jedox
  • Jethro
  • Jinfonet Software
  • JNB (Japan Net Bank)
  • JPMorgan Chase & Co.
  • Juniper Networks
  • Kabbage
  • KALEAO
  • Keen IO
  • Keyrus
  • Kinetica
  • KNIME
  • Kognitio
  • Kyvos Insights
  • LeanXcale
  • LenddoEFL
  • Lexalytics
  • Lexmark International
  • Lightbend
  • Linux Foundation
  • Logi Analytics
  • Logical Clocks
  • Longview Solutions
  • Looker Data Sciences
  • LucidWorks
  • Luminoso Technologies
  • Maana
  • Man Group
  • Manthan Software Services
  • OmniSci
  • MapR Technologies
  • MariaDB Corporation
  • MarkLogic Corporation
  • Mastercard
  • Mathworks
  • Melissa
  • MemSQL
  • Metric Insights
  • Microsoft Corporation
  • MicroStrategy
  • Minitab
  • MongoDB
  • Mu Sigma
  • NEC Corporation
  • Neo4j
  • NetApp
  • Nimbix
  • Nokia
  • NTT Data Corporation
  • Numerify
  • NuoDB
  • NVIDIA Corporation
  • OASIS (Organization for the Advancement of Structured Information Standards)
  • Objectivity
  • Oblong Industries
  • ODaF (Open Data Foundation)
  • ODCA (Open Data Center Alliance)
  • OGC (Open Geospatial Consortium)
  • OpenText Corporation
  • Opera Solutions
  • Optimal Plus
  • Oracle Corporation
  • OTP Bank
  • Palantir Technologies
  • Panasonic Corporation
  • Panorama Software
  • Paxata
  • Pepperdata
  • Phocas Software
  • Pivotal Software
  • Prognoz
  • Progress Software Corporation
  • Progressive Corporation
  • Provalis Research
  • Pure Storage
  • PwC (PricewaterhouseCoopers International)
  • Pyramid Analytics
  • Qlik
  • qplum
  • Qrama/Tengu
  • Quandl
  • Quantum Corporation
  • Qubole
  • Rackspace
  • Radius Intelligence
  • RapidMiner
  • RavenPack
  • Recorded Future
  • Red Hat
  • Redis Labs
  • RedPoint Global
  • Reltio
  • RStudio
  • Rubrik
  • Ryft
  • S&P’s (Standard & Poor’s)
  • Sailthru
  • Salesforce.com
  • Salient Management Company
  • Samsung Fire & Marine Insurance
  • Samsung Group
  • SAP
  • SAS Institute
  • ScaleOut Software
  • Seagate Technology
  • Shinhan Card
  • Sinequa
  • SiSense
  • Sizmek
  • SnapLogic
  • Snowflake Computing
  • Software AG
  • Splice Machine
  • Splunk
  • Strategy Companion Corporation
  • Stratio
  • Streamlio
  • StreamSets
  • Striim
  • Sumo Logic
  • Supermicro (Super Micro Computer)
  • Syncsort
  • SynerScope
  • SYNTASA
  • Tableau Software
  • Talend
  • Tamr
  • TARGIT
  • TCS (Tata Consultancy Services)
  • Teradata Corporation
  • Thales
  • Thomson Reuters
  • ThoughtSpot
  • TIBCO Software
  • Tidemark
  • TM Forum
  • Toshiba Corporation
  • TPC (Transaction Processing Performance Council)
  • TransferWise
  • Transwarp
  • Trifacta
  • Two Sigma Investments
  • U.S. NIST (National Institute of Standards and Technology)
  • Unifi Software
  • UnitedHealth Group
  • Unravel Data
  • Upstart
  • VANTIQ
  • Vecima Networks
  • Visa
  • VMware
  • VoltDB
  • W3C (World Wide Web Consortium)
  • WANdisco
  • Waterline Data
  • Western Digital Corporation
  • Western Union
  • WhereScape
  • WiPro
  • Wolfram Research
  • Workday
  • Xplenty
  • Yellowfin BI
  • Yseop
  • Zendesk
  • Zoomdata
  • Zucchetti
  • Zurich Insurance Group

Table of Contents

1 Chapter 1: Introduction 22
1.1 Executive Summary 22
1.2 Topics Covered 24
1.3 Forecast Segmentation 25
1.4 Key Questions Answered 28
1.5 Key Findings 29
1.6 Methodology 30
1.7 Target Audience 31
1.8 Companies & Organizations Mentioned 32

2 Chapter 2: An Overview of Big Data 35
2.1 What is Big Data? 35
2.2 Key Approaches to Big Data Processing 35
2.2.1 Hadoop 36
2.2.2 NoSQL 38
2.2.3 MPAD (Massively Parallel Analytic Databases) 38
2.2.4 In-Memory Processing 39
2.2.5 Stream Processing Technologies 39
2.2.6 Spark 40
2.2.7 Other Databases & Analytic Technologies 40
2.3 Key Characteristics of Big Data 41
2.3.1 Volume 41
2.3.2 Velocity 41
2.3.3 Variety 41
2.3.4 Value 42
2.4 Market Growth Drivers 42
2.4.1 Awareness of Benefits 42
2.4.2 Maturation of Big Data Platforms 42
2.4.3 Continued Investments by Web Giants, Governments & Enterprises 43
2.4.4 Growth of Data Volume, Velocity & Variety 43
2.4.5 Vendor Commitments & Partnerships 43
2.4.6 Technology Trends Lowering Entry Barriers 44
2.5 Market Barriers 44
2.5.1 Lack of Analytic Specialists 44
2.5.2 Uncertain Big Data Strategies 44
2.5.3 Organizational Resistance to Big Data Adoption 45
2.5.4 Technical Challenges: Scalability & Maintenance 45
2.5.5 Security & Privacy Concerns 45

3 Chapter 3: Big Data Analytics 46
3.1 What are Big Data Analytics? 46
3.2 The Importance of Analytics 46
3.3 Reactive vs. Proactive Analytics 47
3.4 Customer vs. Operational Analytics 47
3.5 Technology & Implementation Approaches 48
3.5.1 Grid Computing 48
3.5.2 In-Database Processing 48
3.5.3 In-Memory Analytics 49
3.5.4 Machine Learning & Data Mining 49
3.5.5 Predictive Analytics 50
3.5.6 NLP (Natural Language Processing) 50
3.5.7 Text Analytics 51
3.5.8 Visual Analytics 51
3.5.9 Graph Analytics 52
3.5.10 Social Media, IT & Telco Network Analytics 52

4 Chapter 4: Business Case & Applications in the Financial Services Industry 54
4.1 Overview & Investment Potential 54
4.2 Industry Specific Market Growth Drivers 55
4.3 Industry Specific Market Barriers 56
4.4 Key Application Areas 58
4.4.1 Personal & Business Banking 58
4.4.2 Investment Banking & Capital Markets 59
4.4.3 Insurance Services 59
4.4.4 Credit Cards & Payments Processing 60
4.4.5 Lending & Financing 60
4.4.6 Asset & Wealth Management 61
4.5 Use Cases 62
4.5.1 Personalized & Targeted Marketing 62
4.5.2 Customer Service & Experience 63
4.5.3 Product Innovation & Development 64
4.5.4 Risk Modeling, Management & Reporting 64
4.5.5 Fraud Detection & Prevention 65
4.5.6 Robotic & Intelligent Process Automation 66
4.5.7 Usage & Analytics-Based Insurance 67
4.5.8 Credit Scoring & Control 67
4.5.9 Data-Driven Trading & Investment 68
4.5.10 Third Party Data Monetization 68
4.5.11 Other Use Cases 69

For More Information Kindly Contact: 
ResearchMoz
Mr. Rohit Bhisey,
Tel: +1-518-621-2074
USA-Canada Toll Free: 866-997-4948
Email: [email protected]
Follow me on : http://marketresearchlatestreports.blogspot.com/

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COVID-19: Potential impact on The Public Safety LTE & Mobile Broadband Market: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts

Until recently, LTE has predominantly been considered a supplementary mobile broadband technology in the public safety sector, to provide high-bandwidth data applications that cannot be delivered over existing narrowband LMR (Land Mobile Radio) systems. However, with the standardization of capabilities such as MCPTT (Mission-Critical PTT) by the 3GPP, LTE is increasingly being viewed as an all-inclusive critical communications platform for the delivery of multiple mission-critical services ranging from PTT group communications to real-time video surveillance.

A number of dedicated public safety LTE networks are already operational across the globe, ranging from nationwide systems in the oil-rich GCC (Gulf Cooperation Council) region to citywide networks in Spain, China, Pakistan, Laos and Kenya.  Among other notable engagements, several “”early builder”” networks are operational in the United States – that will subsequently merge with the wider FirstNet nationwide system; early pilot LTE networks for the Sate-Net program are in the process of being commercialized in South Korea; and Canada is beginning to see its first dedicated LTE network deployments, starting with the Halton Regional Police Service.

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However, the use of LTE in the public safety sector is not restricted to dedicated networks alone. For example, the United Kingdom Home Office is in the process of deploying an ESN (Emergency Services Network) that will use British mobile operator EE’s commercial LTE RAN and a dedicated mobile core to eventually replace the country’s existing nationwide TETRA system.  The secure MVNO (Mobile Virtual Network Operator) model is already being used in multiple European countries, albeit at a smaller scale – to complement existing TETRA networks with broadband capabilities. In addition, this approach also beginning to gain traction in other parts of the world, such as Mexico.

Driven by demand for both dedicated and secure MVNO networks, SNS Research estimates that annual investments in public safety LTE infrastructure will surpass $800 Million by the end of 2017, supporting ongoing deployments in multiple frequency bands across the 400/450 MHz, 700 MHz, 800 MHz, and higher frequency ranges. The market – which includes base stations (eNBs), mobile core and transport network equipment – is further expected to grow at a CAGR of nearly 45% over the next three years. By 2020, these infrastructure investments will be complemented by up to 3.8 Million LTE device shipments, ranging from smartphones and ruggedized handheld terminals to vehicular routers and IoT modules.

The “Public Safety LTE & Mobile Broadband Market: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the global public safety LTE market, besides touching upon the wider LMR and mobile broadband industries. In addition to covering the business case, market drivers, challenges, enabling technologies, applications, key trends, standardization, spectrum availability/allocation, regulatory landscape, deployment case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies for public safety LTE, the report presents comprehensive forecasts for mobile broadband, LMR, and public safety LTE subscriptions from 2017 till 2030. Also covered are unit shipment and revenue forecasts for public safety LTE infrastructure, devices, integration services and management solutions. In addition, the report tracks public safety LTE service revenues, over both private and commercial networks.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report, as well as a list and associated details of over 190 global public safety LTE engagements – as of Q4’2017.

Topics Covered

The report covers the following topics:

  •  Business case for public safety LTE and mobile broadband including market drivers, barriers, deployment models, economics, and funding strategies
  •  LTE network architecture and key elements comprising devices, RAN, mobile core (EPC, policy and application functions), and transport networks
  •  Key enabling technologies including group communications, MCPTT, ProSe (Proximity Services), IOPS (Isolated E-UTRAN operation for Public Safety), deployable LTE systems, HPUE (High-Power User Equipment), QPP (QoS, Priority & Preemption), and end-to-end security
  •  Public safety LTE application usage including mission-critical voice, mobile video, situational awareness, aerial surveillance, bandwidth-intensive field data applications, and emerging applications such as AR (Augmented Reality)
  •  Case studies of over 20 public safety LTE engagements worldwide, and analysis of  large-scale nationwide projects including FirstNet in the United States, ESN in the United Kingdom, and Safe-Net in South Korea
  •  Opportunities for commercial mobile operators including spectrum leasing, priority service offerings, BYON (Build Your Own Network) platforms, and operator-branded public safety LTE platforms
  •  Spectrum availability and allocation for public safety LTE across the global, regional and national regulatory domains
  •  Standardization, regulatory and collaborative initiatives
  •  Industry roadmap and value chain
  •  Profiles and strategies of over 570 ecosystem players including LTE infrastructure & device OEMs, public safety system integrators, and application specialists
  •  Exclusive interview transcripts from 11 ecosystem players across the public safety LTE value chain: DSB (Directorate for Civil Protection, Norway), Ericsson, Airbus Defence and Space, Harris Corporation, CND (Core Network Dynamics), Bittium, Sepura, Sierra Wireless, Sonim Technologies, Kodiak Networks, and Soliton Systems
  •  Strategic recommendations for LMR equipment suppliers, public safety system integrators, LTE infrastructure, device & chipset suppliers, public safety agencies & stakeholders, and commercial & private mobile operators
  •  Market analysis and forecasts from 2017 till 2030

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Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their subcategories:

Public Safety LTE Infrastructure

Submarkets

  •  RAN (Radio Access Network)
  •  Mobile Core (EPC, Policy & Application Functions)
  •  Mobile Backhaul & Transport

RAN Base Station (eNB) Mobility Categories

  •  Fixed Base Stations
  •  Deployable Base Stations

RAN Base Station (eNB) Cell Size Categories

  •  Macrocells
  •  Small Cells

Deployable RAN Base Station (eNB) Form Factor Categories

  •  NIB (Network-in-a-Box)
  •  Vehicular Platforms
  •  Airborne Platforms
  •  Maritime Platforms

Mobile Backhaul & Transport Network Technology Categories

  •  Fiber & Wireline
  •  Microwave
  •  Satellite

Public Safety LTE Management & Integration Solutions

Submarkets

  •  Network Integration & Testing
  •  Device Management & User Services
  •  Managed Services, Operations & Maintenance
  •  Cybersecurity

Public Safety LTE Devices

Submarkets

  •  Private LTE
  •  Commercial LTE

Form Factor Categories

  •  Smartphones & Handportable Terminals
  •  Vehicle-Mounted Routers & Terminals
  •  Stationary CPEs
  •  Tablets & Notebook PCs
  •  USB Dongles, Embedded IoT Modules & Others

Public Safety LTE Subscriptions & Service Revenue

Submarkets

  •  Private LTE
  •  Commercial LTE

Public Safety Broadband over Private Mobile Networks

Submarkets

  •  Private LTE
  •  Private WiMAX

Public Safety Broadband Subscriptions over Commercial Mobile Networks

Submarkets

  •  3G
  •  WiMAX
  •  LTE

Mobile Broadband Subscriptions

Submarkets

  •  3G
  •  WiMAX
  •  LTE
  •  5G NR (New Radio)

LMR Subscriptions

Submarkets

  •  Analog
  •  DMR
  •  dPMR, NXDN & PDT
  •  P25
  •  TETRA
  •  Tetrapol
  •  Others

LMR Narrowband Data Subscriptions

Submarkets

  •  P25 Phase 1
  •  P25 Phase 2
  •  TETRA
  •  TEDS
  •  Tetrapol
  •  Others

Public Safety LTE Applications

Submarkets

  •  Mission-Critical HD Voice & Group Communications
  •  Video & High-Resolution Imagery
  •  Messaging & Presence Services
  •  Secure Mobile Broadband Access
  •  Location Services & Mapping
  •  Enhanced CAD (Computer Aided Dispatching)
  •  Situational Awareness
  •  Telemetry, Control and Remote Diagnostics
  •  AR (Augmented Reality) & Emerging Applications

Regional Segmentation

The following regional markets are covered:

  •  Asia Pacific
  •  Eastern Europe
  •  Latin & Central America
  •  Middle East & Africa
  •  North America
  •  Western Europe

Key Questions Answered

The report provides answers to the following key questions:

  •  How big is the public safety LTE opportunity?
  •  What trends, challenges and barriers are influencing its growth?
  •  How is the market evolving by segment and region?
  •  What will the market size be in 2020 and at what rate will it grow?
  •  Which regions and submarkets will see the highest percentage of growth?
  •  How does standardization impact the adoption of LTE for public safety?
  •  What is the status of dedicated public safety LTE networks and secure MVNO offerings across the globe?
  •  When will the public safety sector witness the large-scale commercialization of key enabling technologies such as MCPTT, ProSe, IOPS, and HPUE?
  •  What opportunities exist for commercial LTE service providers and private LMR network operators?
  •  What are the prospects of NIB (Network-in-a-Box), vehicular, airborne and maritime deployable LTE platforms?
  •  Is there a substantial market opportunity for public safety LTE networks operating in Band 31 (450 MHz), and newer frequency bands  such as Bands 68 and 72?
  •  How can public safety stakeholders leverage unused spectrum capacity to ensure the economic viability of dedicated LTE networks?
  •  Who are the key market players and what are their strategies?
  •  What strategies should system integrators, vendors, and mobile operators adopt to remain competitive?

Key Findings

The report has the following key findings:

  •  SNS Research estimates that annual investments in public safety LTE infrastructure will surpass $800 Million by the end of 2017. The market – which includes base stations (eNBs), mobile core and transport network equipment – is further expected to grow at a CAGR of nearly 45% over the next three years.
  •  By 2020, these infrastructure investments will be complemented by up to 3.8 Million LTE device shipments, ranging from smartphones and ruggedized handheld terminals to vehicular routers and IoT modules.
  •  A number of dedicated public safety LTE networks are already operational across the globe, ranging from nationwide systems in the oil-rich GCC region to citywide networks in Spain, China, Pakistan, Laos and Kenya.
  •  At present, more than 45% of all public safety LTE engagements –  including in-service, planned, pilot, and demo networks – utilize spectrum in the 700 MHz range, primarily Bands 14 and 28.
  •  Due to the unavailability of ProSe-capable chipsets and devices, several public safety stakeholders including the United Kingdom Home Office are considering the continued use of LMR terminals to support direct-mode operation, as they migrate to LTE networks.
  •  The wider critical communications industry is continuing to consolidate with several prominent M&A deals such as Motorola Solutions’ recent acquisition of carrier-integrated PTT-over-cellular platform provider Kodiak Networks, and Hytera Communications’  takeover of the Sepura Group – a well known provider of TETRA, DMR, P25 and LTE systems.

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List of Companies Mentioned

  • 3GPP (Third Generation Partnership Project)
  • 3M
  • 450 MHz Alliance
  • 450connect
  • 4K Solutions
  • 6Harmonics
  • A10 Networks
  • Aaeon
  • AAS (Amphenol Antenna Solutions)
  • Abu Dhabi Police
  • Accedian Networks
  • Accelleran
  • Accuver
  • Ace Technologies Corporation
  • AceAxis
  • ACMA (Australian Communications and Media Authority)
  • Actelis Networks
  • Aculab
  • Adax
  • ADCOM911 (Adams County Communications Center)
  • ADLINK Technology
  • ADRF (Advanced RF Technologies)
  • ADTRAN
  • ADVA Optical Networking
  • AdvanceTec Industries
  • Advantech
  • Advantech Wireless
  • Aeroflex
  • AeroMobile
  • Affarii Technologies
  • Affirmed Networks
  • Agile Networks
  • Aicox Solutions
  • Airbus Defence and Space
  • Airbus Group
  • Air-Lynx
  • Airspan Networks
  • Airvana
  • Airwave Solutions
  • Ajman Police
  • Alcatel-Lucent
  • Alea
  • Alepo
  • Alliander
  • Allied Telesis
  • Allot Communications
  • Alpha Networks
  • Alpha Technologies
  • Alphabet
  • Altaeros Energies
  • Altair Semiconductor
  • ALTÁN Redes
  • Altiostar Networks
  • Alvarion Technologies
  • AM Telecom
  • Amarisoft
  • Amdocs
  • América Móvil
  • American Tower Corporation
  • Anatel (Agencia Nacional de Telecomunicacoes)
  • Anritsu Corporation
  • APCO (Association of Public-Safety Communications Officials) International
  • Apple
  • APT (Asia-Pacific Telecommunity)
  • Aptica
  • ARASKOM
  • Arcadyan
  • ARCEP (Autorité de Régulation des Communications Électroniques)
  • Archos
  • Argela
  • ArgoNET
  • ARIB (Association of Radio Industries and Businesses, Japan)
  • Aricent
  • ARItel
  • ARM Holdings
  • Armasuisse (Federal Office for Defence Procurement, Switzerland)
  • Armour Communications
  • Arqiva
  • Artemis Networks
  • Artesyn Embedded Technologies
  • Artiza Networks
  • ASELSAN
  • ASMG (Arab Spectrum Management Group)
  • ASOCS
  • Assured Wireless Corporation
  • ASTRI (Hong Kong Applied Science and Technology Research Institute)
  • ASTRID
  • ASTRO Solutions
  • ASUS (ASUSTeK Computer)
  • AT&T
  • ATDI
  • Atel Antennas
  • Athonet
  • ATIS (Alliance for Telecommunications Industry Solutions)
  • Atlas Telecom
  • Atos
  • AttoCore
  • ATU (African Telecommunications Union)
  • Avanti Communications Group
  • Avaya
  • AVI
  • Aviat Networks
  • Avigilon Corporation
  • Avtec
  • Axell Wireless
  • Axis Communications
  • Axon
  • Axxcelera Broadband Wireless
  • Azcom Technology
  • Azetti Networks
  • BAE Systems
  • Baicells Technologies
  • BandRich
  • Barrett Communications
  • BASE (Telenet)
  • BATS (Broadband Antenna Tracking Systems)
  • Baylin Technologies
  • BayRICS (Bay Area Regional Interoperable Communications Systems Authority)
  • BayWEB (Bay Area Wireless Enhanced Broadband System)
  • BCDVideo
  • BCE (Bell Canada)
  • BDBOS (Federal Agency for Public Safety Digital Radio, Germany)
  • BEC Technologies
  • Benetel
  • BeyondTrust Software
  • BFDX (BelFone)
  • BHE (Bonn Hungary Electronics)
  • Bilbao Metro
  • Bird Technologies
  • Bittium Corporation
  • BK Technologies
  • Black & Veatch
  • Black Box Corporation
  • BlackBerry
  • BlackBerry AtHoc
  • Blackhawk Imaging
  • Blackned
  • BLiNQ Networks
  • Bluebird
  • Blueforce Development Corporation
  • BMI (Federal Ministry of Interior, Germany)
  • BMVg (Federal Ministry of Defense, Germany)
  • Boise Police Department
  • Bosch Security Systems
  • Boston Police Department
  • Bravo (Public Telecommunication Company)
  • Brazilian Army
  • Brazos County Sheriff’s Office
  • Bridgewater
  • BridgeWave Communications
  • British Army
  • Broadcom
  • BroadSoft
  • Brocade Communications Systems
  • BRTI (Indonesian Telecommunications Regulatory Authority)
  • BT Group
  • BTI Wireless
  • Bullitt Mobile
  • Bundesnetzagentur (Federal Network Agency, Germany)
  • Bundeswehr (Armed Forces, Germany)
  • C Spire
  • C4i
  • CACI International
  • CACP (Canadian Association of Chiefs of Police)
  • CAFC (Canadian Association of Fire Chiefs)
  • CalAmp Corporation
  • Calgary Police Service
  • Cambium Networks
  • Camden County Public Safety
  • Canadian Advanced Technology Alliance
  • Capita
  • Carlson Wireless Technologies
  • Casa Systems
  • Casio Computer Company
  • Catalyst Communications Technologies
  • Caterpillar
  • Cavium
  • CCI (Communication Components Inc.)
  • CCI (Competitive Companies, Inc.)
  • CCI Systems
  • CCN (Cirrus Core Networks)
  • CCSA (China Communications Standards Association)
  • Cellvine
  • cellXica
  • CelPlan Technologies
  • CEPT (European Conference of Postal and Telecommunications Administrations)
  • Ceragon Networks
  • Certes Networks
  • Challenge Networks
  • Chemring Group
  • Chemring Technology Solutions
  • Chicago Police Department
  • Cielo Networks
  • Ciena Corporation
  • Cirpack
  • Cisco Systems
  • CITC (Communications and Information Technology Commission, Saudi Arabia)
  • CITEL (Inter-American Telecommunication Commission)
  • CITIG (Canadian Interoperability Technology Interest Group)
  • City of Charlotte
  • City of Fort Worth
  • City of Huntsville
  • City of Irving
  • City of New Orleans
  • City of Oakland
  • City of Pembroke Pines
  • City of Sendai
  • Cloudstreet
  • CND (Core Network Dynamics)
  • Cobham
  • Cobham SATCOM
  • Cobham Wireless
  • Codan Radio Communications
  • Collinear Networks
  • Colorado Parks and Wildlife
  • Comba Telecom
  • COMLAB
  • CommAgility
  • CommandWear Systems
  • CommScope
  • Comrod Communication Group
  • Comtech EF Data
  • Comtech TCS
  • Comtech Telecommunications Corporation
  • CONET Technologies
  • Connect Tech
  • Contela
  • Coolpad Group
  • Coriant
  • Cornet Technology
  • Corning
  • Covia Labs
  • CPqD (Center for Research and Development in Telecommunications, Brazil)
  • Cradlepoint
  • CRC (Communications Research Centre Canada)
  • Crown Castle International Corporation
  • CS Corporation
  • CybertelBridge
  • Cyfas Systems
  • CyPhy Works
  • Dahua Technology (Zhejiang Dahua Technology)
  • Dali Wireless
  • DAMM Cellular Systems
  • Datang Mobile
  • Datang Telecom
  • DDPS (Federal Department of Defence, Civil Protection and Sport, Switzerland)
  • DeKalb Police Department
  • Dell Technologies
  • Delta Electronics
  • DEPEN (National Prison Department, Brazil)
  • DFW (Dallas/Fort Worth) International Airport
  • Dialogic
  • DNA
  • DND (Department of National Defence, Canada)
  • DNK (Norwegian Directorate for Emergency Communication)
  • DragonWave-X
  • DRDC (Defence Research and Development Canada)
  • DRDC CSS (Defence Research and Development Canada’s Centre for Security Science)
  • Druid Software
  • DSB (Directorate for Civil Protection, Norway)
  • DSTL (Defence Science and Technology Laboratory, United Kingdom)
  • Dubai Police
  • Duons
  • Eastcom (Eastcom Communications Company)
  • EchoStar Corporation
  • EchoStar Mobile
  • EchoStar Satellite Services
  • Ecom Instruments
  • EE
  • EF Johnson Technologies
  • EION Wireless
  • Elbit Systems
  • Elta Systems
  • ELUON Corporation
  • Embraer
  • EMC Corporation
  • ENENSYS Technologies
  • éolane DOUARNENEZ
  • Ercom
  • Ericsson
  • Ericsson LG
  • ETELM
  • Etherstack
  • Ethertronics
  • ETRI (Electronics & Telecommunications Research Institute, South Korea)
  • ETSI (European Telecommunications Standards Institute)
  • Ewing Police Department
  • EXACOM
  • Exalt Wireless
  • Excelerate Technology
  • Exelis
  • EXFO
  • Expeto Wireless
  • Expway
  • ExteNet Systems
  • Eyecom Telecommunications Group
  • FAB (Brazilian Air Force)
  • Facebook
  • Fairwaves
  • Falu Municipality
  • Fastback Networks
  • Federated Wireless
  • Fenix Group
  • FFI (Defence Research Establishment, Norway)
  • FiberHome Technologies
  • Finavia
  • FinnHEMS (Helicopter Emergency Medical Services, Finland)
  • Finnish Border Guard
  • Finnish Defence Forces
  • Finnish State Railways
  • FireEye
  • Flash Private Mobile Networks
  • FLIR Systems
  • Forcepoint
  • Fortinet
  • Foxcom
  • Fraunhofer FOKUS (Institute for Open Communication Systems)
  • Fraunhofer HHI (Heinrich Hertz Institute)
  • FreeWave Technologies
  • French Armed Forces
  • Frequentis
  • FRTek
  • Fujian Sunnada Network Technology
  • Fujitsu
  • Funkwerk
  • Future Technologies
  • Galtronics
  • GCT Semiconductor
  • GE (General Electric)
  • Gemalto
  • Gemtek Technology
  • Genaker
  • GENBAND
  • General Dynamics Corporation
  • General Dynamics Mission Systems
  • Genesis Group
  • GenXComm
  • GeoSafe
  • Getac Technology Corporation
  • GIKO GROUP
  • Gilat Satellite Networks
  • Global Invacom Group
  • Globalstar
  • Goodman Networks
  • Goodmill Systems
  • Google
  • Grant County Sheriff’s Office
  • GRENTECH
  • Groupe ADP (Aéroport de Paris)
  • GroupTalk
  • GSI (GS Instech)
  • Guangzhou Iplook Technologies
  • GWT (Global Wireless Technologies)
  • Halton Regional Police Service
  • Hanwha Techwin
  • Harris Corporation
  • Harris County
  • Harris County Fire Marshal’s Office
  • Harris County Sheriff’s Office
  • Haystax Technology
  • HCL Technologies
  • HFRS (Hampshire Fire & Rescue Service)
  • Hikvision (Hangzhou Hikvision Digital Technology)
  • HISPASAT Group
  • Hitachi
  • Hoimyung Corporation
  • Hoimyung ICT
  • Home Office, United Kingdom
  • Honeywell International
  • Hong Kong Police Force
  • Horsebridge Defence & Security
  • Houston Police Department
  • HPE (Hewlett Packard Enterprise)
  • HQT (Shenzhen HQT Science and Technology)
  • HTC Corporation
  • Huawei
  • Hub One
  • Hughes Network Systems
  • Hunter Technology
  • Hytera Communications
  • IAI (Israel Aerospace Industries)
  • iBwave Solutions
  • ICCRA (International Critical Control Rooms Alliance)
  • Icom
  • ICT (Islamabad Capital Territory)
  • IDEMIA
  • IDF (Israel Defense Forces)
  • IDY Corporation
  • IFT (Federal Institute of Telecommunications, Mexico)
  • IMDA (Info-communications Media Development Authority of Singapore)
  • IMPTT
  • Indian Army
  • Indiana DHS (Department of Homeland Security)
  • Indianapolis Fire Department
  • Indianapolis Metropolitan Police Department
  • Indra
  • Infinova
  • InfoVista
  • INL (Idaho National Laboratory)
  • Inmarsat
  • InnerWireless
  • InnoWireless
  • Insta Group
  • Intel Corporation
  • Intercede
  • InterDigital
  • Intersec
  • Intracom Telecom
  • Intrepid Networks
  • ip.access
  • IPITEK
  • Iridium Communications
  • IRIS (Red Nacional de Radiocomunicación de Misión Crítica Tetrapol)
  • Irvees Technology
  • ISCO International
  • ISED (Innovation, Science and Economic Development Canada)
  • IS-Wireless
  • Italtel
  • ITCEN
  • ITELAZPI
  • ITRI (Industrial Technology Research Institute, Taiwan)
  • ITS Ibelem
  • ITU (International Telecommunication Union)
  • JMA Wireless
  • Johnson Controls
  • Jolla
  • Jordanian Armed Forces
  • JPS Interoperability Solutions
  • JRC (Japan Radio Company)
  • Juni Global
  • Juniper Networks
  • JVCKENWOOD Corporation
  • Kantonspolizei Zürich (Cantonal Police of Zurich)
  • Kapsch CarrierCom
  • Kathrein-Werke KG
  • KBR
  • KCC (Korea Communications Commission)
  • Kenyan Police Service
  • Keysight Technologies
  • Kirisun Communications
  • Kisan Telecom
  • Klas Telecom
  • Klein Electronics
  • Kleos
  • KMW
  • Kodiak Networks
  • Koning & Hartman
  • Kontron S&T
  • KPN
  • KPN Critical Communications
  • KRNA (Korea Rail Network Authority)
  • KRTnet Corporation
  • KT Corporation
  • Kudelski Group
  • Kudelski Security
  • Kumu Networks
  • Kyocera Corporation
  • L-3 Communication Systems-West
  • L-3 Technologies
  • Laos Police
  • LA-RICS (Los Angeles Regional Interoperable Communications System)
  • Las Vegas Metropolitan Police Department
  • LCR Embedded Systems
  • Leenos Corporation
  • Lemko Corporation
  • Lenovo
  • Leonardo
  • LG CNS
  • LG Electronics
  • LG Group
  • LG Uplus
  • LGS Innovations
  • Ligado Networks
  • Lijiang Police
  • Lime Microsystems
  • LOCIVA
  • Lockheed Martin Corporation
  • Logic Instrument
  • London’s Air Ambulance
  • LS telcom
  • Luminate Wireless
  • M87
  • Macquarie Group
  • MadCo 911 (Madison County Alabama’s 911 Dispatch Center)
  • Magister Solutions
  • Martin UAV
  • Mavenir Systems
  • MBIE (Ministry of Business, Innovation and Employment, New Zealand)
  • McAfee
  • MCMC (Malaysian Communications and Multimedia Commission)
  • MCTIC  (Ministry of Science, Technology and Innovation and Communications, Brazil)
  • McWane
  • MediaTek
  • MegaFon
  • Mellanox Technologies
  • Mentura Group
  • MER Group
  • Metaswitch Networks
  • MetroPCS
  • MHA (Ministry of Home Affairs, Singapore)
  • Miami-Dade County
  • Miami-Dade Police Department
  • MIC (Ministry of Internal Affairs and Communications, Japan)
  • MIC Nordic
  • Micro Focus
  • Microlab
  • Microsoft Corporation
  • Microwave Networks
  • MIIT (Ministry of Industry and Information Technology, China)
  • Milestone Systems
  • MIMOon
  • Minas Gerais State Military Police
  • Ministry of Defence, Sweden
  • Ministry of Industry and Information Technology, China
  • Ministry of Interior & Coordination of National Government, Kenya
  • Ministry of Interior, Angola
  • Ministry of Interior, France
  • Ministry of Justice, Sweden
  • MitraStar Technology Corporation
  • Mitsubishi Electric Corporation
  • Mobile Tornado
  • MobileDemand
  • MobileIron
  • Mobilicom
  • MoD (Ministry of Defence, United Kingdom)
  • ModUcom (Modular Communication Systems)
  • MOI Qatar (Ministry of Interior, Qatar)
  • MoMe
  • Monmouth County Sheriff’s Office
  • Moscow Police
  • Moseley Associates
  • Motorola Mobility
  • Motorola Solutions
  • Moxtra Public Safety
  • MP Antenna
  • MPS (Ministry of Public Security, China)
  • MPSS (Ministry of Public Safety and Security, South Korea)
  • MRC (Mobile Radio Center)
  • MRV Communications
  • MSB (Civil Contingencies Agency, Sweden)
  • MTI (Microelectronics Technology, Inc.)
  • Mutualink
  • N.A.T.
  • Nash Technologies
  • NATO (North Atlantic Treaty Organization)
  • Naval Postgraduate School
  • NBTC (National Broadcasting and Telecommunications Commission, Thailand)
  • NCRIC (Northern California Regional Information Center)
  • NDOT (Nevada Department of Transportation)
  • NEC Corporation
  • Nedaa
  • Nemergent Solutions
  • Neptune Mobile
  • Net4Mobility
  • Netas
  • NetMotion
  • NETSCOUT Systems
  • New Hampshire Department of Safety
  • New Jersey Office of Homeland Security and Preparedness
  • New Jersey ROIC (Regional Operations Intelligence Center)
  • New Jersey State Police
  • New Mexico DoIT (Department of Information Technology)
  • New Postcom Equipment
  • New Zealand Police
  • NewCore Wireless
  • NextG Networks
  • Nextivity
  • NextNav
  • NI (National Instruments)
  • NICE Systems
  • Nigeria Police Force
  • NIKSUN
  • Nkom (Norwegian Communications Authority)
  • Node-H
  • Nokia
  • Nokia Networks
  • Norsat International
  • Northglenn Police Department
  • Northrop Grumman Corporation
  • NTT DoCoMo
  • NuRAN Wireless
  • Nutaq Innovation
  • NVIS Communications
  • NXP Semiconductors
  • O3b Networks
  • Oakland Fire Department
  • Oceus Networks
  • Octasic
  • ODN (Orbital Data Network)
  • OFCOM (Federal Office of Communications, Switzerland)
  • Ohio State University
  • OMA (Open Mobile Alliance)
  • Oman Royal Office
  • Omnitele
  • Omoco
  • One2many
  • Ontario Ministry of Transportation
  • Ooredoo
  • Openet
  • OpenSignal
  • Optiway
  • Optus
  • Oracle Communications
  • Orange
  • Orange Belgium (Mobistar)
  • Ottawa Fire Services
  • PacStar (Pacific Star Communications)
  • Palo Alto Networks
  • Panasonic Avionics Corporation
  • Panasonic Corporation
  • Panda Electronics Group
  • Panorama Antennas
  • Parallel Wireless
  • PCC (Paramedic Chiefs of Canada)
  • PCTEL
  • pdvWireless
  • Pelco
  • Pennsylvania State Police
  • Pepperl+Fuchs
  • Pepro
  • Persistent Telecom
  • Philadelphia Police Department
  • Phluido
  • Pikewerks Corporation
  • Plover Bay Technologies
  • PMN (Private Mobile Networks)
  • Polaris Networks
  • Police Federation of Australia
  • Police of the Netherlands
  • Polizia di Stato (State Police, Italy)
  • PoLTE Corporation
  • Portalify
  • Potevio
  • PowerTrunk
  • PRISMA Telecom Testing
  • Productivity Commission, Australia
  • PROMTEL (Office for the Promotion of Investments in Telecommunications, Mexico)
  • Proximus
  • Pryme Radio Products
  • PSCA (Punjab Safe Cities Authority)
  • PSCE (Public Safety Communications Europe)
  • PSP (Potomac Spectrum Partners)
  • PTS (Post and Telecom Authority, Sweden)
  • Public Safety Canada
  • Publicis
  • Pulse Electronics
  • Qatar Armed Forces
  • Qinetiq
  • Qingdao Police
  • Qiqihar Municipal Public Security Bureau
  • Qiqihar Police
  • Qualcomm
  • Quanta Computer
  • Qucell
  • Quintel
  • Quortus
  • RACOM Corporation
  • RAD Data Communications
  • Radio IP Software
  • Radisys Corporation
  • RADWIN
  • RAF (Royal Air Force)
  • Rafael Advanced Defense Systems
  • Range Networks
  • Rave Mobile Safety
  • Raycap
  • Raytheon Company
  • RCC (Regional Commonwealth in the Field of Communications)
  • RCMP (Royal Canadian Mounted Police)
  • Reality Mobile
  • Rebel Alliance
  • Red Hat
  • RED Technologies
  • REDCOM Laboratories
  • Redline Communications
  • Redwall Technologies
  • RESCAN (Canary Islands Network for Emergency and Security)
  • Rescue 42
  • RF Window
  • RFS (Radio Frequency Systems)
  • RIKS (State Infocommunication Foundation)
  • Rio de Janeiro Fire Department
  • RIVA Networks
  • Rivada Networks
  • Rockwell Collins
  • Rogers Communications
  • Rohde & Schwarz
  • Rohill
  • ROK Mobile
  • ROKAF (Republic of Korea Air Force)
  • Roper Industries
  • Rosenberger
  • Royal Thai Police
  • R-TRON
  • RugGear
  • Saab
  • Safaricom
  • SafeMobile
  • Safe-Net Forum
  • SAI Technology
  • SAIC (Science Applications International Corporation)
  • Samji Electronics
  • Samsung Electronics
  • Samsung Group
  • Samsung SDS
  • San Diego Fire-Rescue Department
  • San Diego Police Department
  • SANG (Saudi Arabian National Guard)
  • São Paulo State Military Police
  • Sapient Consulting
  • Sapura Secured Technologies
  • Saudi MOI (Ministry of Interior)
  • Savis
  • Savox Communications
  • Schneider Electric
  • SCT (Mexican Ministry of Communications and Transport, Mexico)
  • Senstar Corporation
  • Sepura
  • Sequans Communications
  • SerComm Corporation
  • SES
  • SETAR
  • Sevis Systems
  • SFR
  • Shanghai Police Department
  • Shentel (Shenandoah Telecommunications Company)
  • Sheriff’s Department of Suffolk County
  • SIAE Microelettronica
  • Siemens
  • Siemens Convergence Creators
  • Sierra Wireless
  • Signal Entertainment Group
  • Signal Information & Communication Corporation
  • Siklu Communication
  • Silicom
  • Simoco Wireless Solutions
  • Singapore Police Force
  • Singtel
  • SiRRAN Communications
  • Sistelbanda
  • SITRONICS
  • Siyata Mobile
  • SK Telecom
  • SK Telesys
  • SLA Corporation
  • SLC (Secure Land Communications)
  • SmartSky Networks
  • Smith Micro Software
  • SoftBank Group
  • Softil
  • SOLiD
  • Soliton Systems
  • Sonim Technologies
  • Sonus Networks
  • Sony Corporation
  • Sony Mobile Communications
  • Sooktha
  • SOTI
  • Southern Company
  • Southern Linc
  • Space Data Corporation
  • Spanish Army
  • Spectra Group
  • SpiderCloud Wireless
  • Spillman Technologies
  • Spirent Communications
  • Spreadtrum Communications
  • Sprint Corporation
  • SRS (Software Radio Systems)
  • Stadtpolizei Zürich (Zurich City Police)
  • Star Solutions
  • State of Colorado
  • State of Louisiana
  • State of Minnesota
  • State of Mississippi
  • State of New Jersey
  • State of New Mexico
  • State of Ohio
  • State of Oklahoma
  • State of Texas
  • State Security Networks Group
  • STC (Saudi Telecom Company)
  • STMicroelectronics
  • Stop Noise
  • sTraffic
  • StreamWIDE
  • SUBTEL (Subsecretaría de Telecomunicaciones de Chile)
  • Sumitomo Electric Industries
  • Surrey Police
  • Swedish Police Authority
  • Swiss Army
  • Swisscom
  • Swisscom Broadcast
  • Symantec Corporation
  • Sysoco Group
  • SyTech (Systems Engineering Technologies) Corporation
  • TacSat Networks
  • Tait Communications
  • Tampa Microwave
  • Taqua
  • TASSTA
  • Tata Elxsi
  • TCCA (TETRA and Critical Communications Association)
  • TCL Communication
  • TCOM
  • Tech Mahindra
  • Técnicas Competitivas
  • Tecore Networks
  • TEKTELIC Communications
  • Telcel
  • Telco Systems
  • Telefónica Group
  • Televate
  • Tellabs
  • Telo Systems Corporation
  • Telos Corporation
  • Telrad Networks
  • Telstra
  • Teltronic
  • Telum
  • Telus Corporation
  • TESSCO
  • TETRATAB
  • Texas A&M University
  • Texas National Guard
  • Thales
  • TI (Texas Instruments)
  • TIA (Telecommunications Industry Association)
  • Tieto Corporation
  • TIM (Telecom Italia Mobile)
  • Titan Securite
  • TLC Solutions
  • T-Mobile USA
  • Tokyo Metropolitan Police Department
  • Toshiba Corporation
  • TOURTech
  • TPL Systèmes
  • TRAI (Telecom Regulatory Authority of India)
  • Trópico
  • TRX Systems
  • TSDSI (Telecommunications Standards Development Society, India)
  • TTA (Telecommunications Technology Association of Korea)
  • TTC (Telecommunication Technology Committee, Japan)
  • Turk Telekom
  • Turkish National Police Force
  • Twinhead International Corporation
  • Twisted Pair Solutions
  • TxDPS (Texas Department of Public Safety)
  • U.S. Air Force
  • U.S. Army
  • U.S. CBP (Customs and Border Protection)
  • U.S. Cellular
  • U.S. Coast Guard
  • U.S. Department of Commerce
  • U.S. DHS (Department of Homeland Security)
  • U.S. DIA (Defense Intelligence Agency)
  • U.S. DoD (Department of Defense)
  • U.S. FBI (Federal Bureau of Investigation)
  • U.S. FCC (Federal Communications Commission)
  • U.S. FEMA (Federal Emergency Management Agency)
  • U.S. FirstNet (First Responder Network Authority)
  • U.S. Marine Corps
  • U.S. Navy
  • U.S. NIST (National Institute of Standards and Technology)
  • U.S. NPSTC (National Public Safety Telecommunications Council)
  • U.S. NTIA (National Telecommunications and Information Administration)
  • UANGEL
  • UCLA (University of California, Los Angeles)
  • Ukkoverkot
  • UNIMO Technology
  • University of Ottawa
  • UPMC (University Pierre and Marie CURIE)
  • Uppsala Ambulance Services
  • UPV/EHU (University of the Basque Country)
  • URSYS
  • US Digital Designs
  • USSOCOM (U.S. Special Operations Command)
  • Utility Associates
  • Vanu
  • Vencore Labs
  • Verint Systems
  • Verizon Communications
  • ViaSat
  • Viavi Solutions
  • Victoria Police
  • Vidyo
  • Vientiane Municipal Government
  • Village of Schaumburg
  • VIRVE
  • Vision Technologies
  • Visual Labs
  • Vmware
  • VNC (Virtual Network Communications)
  • VNL (Vihaan Networks Limited)
  • Vodafone Group
  • Vodafone Hutchison Australia
  • Vodafone Netherlands
  • Vodafone New Zealand
  • Voxer
  • West Corporation
  • Westell Technologies
  • Western Australia Police
  • Wildox (Shenzhen Happy Technology)
  • WINITECH
  • WinMate
  • Wireless Technologies Finland
  • Wireless Telecom Group
  • Wireless Telecom Group Company
  • WNC (Wistron NeWeb Corporation)
  • WTL (World Telecom Labs)
  • Wytec International
  • xG Technology
  • Xiamen Puxing Electronics Science & Technology
  • Xilinx
  • Xplore Technologies Corporation
  • Zain Saudi Arabia
  • Z-Com
  • Zello
  • Zetel Solutions
  • Zetron
  • Zhengzhou Metro
  • Zhengzhou Municipal Public Security Bureau
  • Zhengzhou Police
  • Zinwave
  • ZMTel (Shanghai Zhongmi Communication Technology)
  • ZTE

Countires Covered

  • Afghanistan
  • Albania
  • Algeria
  • Andorra
  • Angola
  • Anguilla
  • Antigua & Barbuda
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
  • Bahamas
  • Bahrain
  • Bangladesh
  • Barbados
  • Belarus
  • Belgium
  • Belize
  • Benin
  • Bermuda
  • Bhutan
  • Bolivia
  • Bosnia Herzegovina
  • Botswana
  • Brazil
  • British Virgin Islands
  • Brunei
  • Bulgaria
  • Burkina Faso
  • Burundi
  • Cambodia
  • Cameroon
  • Canada
  • Cape Verde
  • Cayman Islands
  • Central African Republic
  • Chad
  • Chile
  • China
  • Cocos Islands
  • Colombia
  • Comoros Islands
  • Congo
  • Cook Islands
  • Costa Rica
  • Côte d’Ivoire
  • Croatia
  • Cuba
  • Cyprus
  • Czech Republic
  • Democratic Rep of Congo (ex-Zaire)
  • Denmark
  • Djibouti
  • Dominica
  • Dominican Republic
  • East Timor
  • Ecuador
  • Egypt
  • El Salvador
  • Equatorial Guinea
  • Eritrea
  • Estonia
  • Ethiopia
  • Faroe Islands
  • Federated States of Micronesia
  • Fiji
  • Finland
  • France
  • French Guiana
  • French Polynesia (ex-Tahiti)
  • French West Indies
  • Gabon
  • Gambia
  • Georgia
  • Germany
  • Ghana
  • Gibraltar
  • Greece
  • Greenland
  • Grenada
  • Guam
  • Guatemala
  • Guernsey
  • Guinea Republic
  • Guinea-Bissau
  • Guyana
  • Haiti
  • Honduras
  • Hong Kong
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Iran
  • Iraq
  • Ireland
  • Isle of Man
  • Israel
  • Italy
  • Jamaica
  • Japan
  • Jersey
  • Jordan
  • Kazakhstan
  • Kenya
  • Kirghizstan
  • Kiribati
  • Korea
  • Kosovo
  • Kuwait
  • Laos
  • Latvia
  • Lebanon
  • Lesotho
  • Liberia
  • Libya
  • Liechtenstein
  • Lithuania
  • Luxembourg
  • Macau
  • Macedonia
  • Madagascar
  • Malawi
  • Malaysia
  • Maldives
  • Mali
  • Malta
  • Marshall Islands
  • Mauritania
  • Mauritius
  • Mayotte
  • Mexico
  • Moldova
  • Monaco
  • Mongolia
  • Montenegro
  • Montserrat
  • Morocco
  • Mozambique
  • Myanmar
  • Namibia
  • Nepal
  • Netherlands
  • Netherlands Antilles
  • New Caledonia
  • New Zealand
  • Nicaragua
  • Niger
  • Nigeria
  • Niue
  • North Korea
  • Northern Marianas
  • Norway
  • Oman
  • Pakistan
  • Palau
  • Palestine
  • Panama
  • Papua New Guinea
  • Paraguay
  • Peru
  • Philippines
  • Poland
  • Portugal
  • Puerto Rico
  • Qatar
  • Réunion
  • Romania
  • Russia
  • Rwanda
  • Samoa
  • Samoa (American)
  • Sao Tomé & Principe
  • Saudi Arabia
  • Senegal
  • Serbia
  • Seychelles
  • Sierra Leone
  • Singapore
  • Slovak Republic
  • Slovenia
  • Solomon Islands
  • Somalia
  • South Africa
  • Spain
  • Sri Lanka
  • St Kitts & Nevis
  • St Lucia
  • St Vincent & The Grenadines
  • Sudan
  • Suriname
  • Swaziland
  • Sweden
  • Switzerland
  • Syria
  • Tajikistan
  • Taiwan
  • Tanzania
  • Thailand
  • Togo
  • Tonga
  • Trinidad & Tobago
  • Tunisia
  • Turkey
  • Turkmenistan
  • Turks & Caicos Islands
  • UAE
  • Uganda
  • UK
  • Ukraine
  • Uruguay
  • US Virgin Islands
  • USA
  • Uzbekistan
  • Vanuatu
  • Venezuela
  • Vietnam
  • Yemen
  • Zambia
  • Zimbabwe

Table of Contents

1 Chapter 1: Introduction 43
1.1 Executive Summary 43
1.2 Topics Covered 45
1.3 Forecast Segmentation 47
1.4 Key Questions Answered 51
1.5 Key Findings 52
1.6 Methodology 53
1.7 Target Audience 54
1.8 Companies & Organizations Mentioned 55

2 Chapter 2: An Overview of the Public Safety Mobile Broadband Market 65
2.1 Narrowband LMR (Land Mobile Radio) Systems in Public Safety 65
2.1.1 LMR Market Size 66
2.1.1.1 Analog LMR 67
2.1.1.2 DMR 67
2.1.1.3 dPMR, NXDN & PDT 68
2.1.1.4 P25 68
2.1.1.5 TETRA 69
2.1.1.6 Tetrapol 69
2.1.1.7 Other LMR Technologies 70
2.1.2 The Limitations of LMR Networks for Non-Voice Services 70
2.2 Adoption of Commercial Mobile Broadband Technologies for Public Safety 71
2.2.1 Why Use Commercial Mobile Broadband Technologies? 71
2.2.2 The Perceived Role of Mobile Broadband in Public Safety Scenarios 71
2.2.2.1 Partnerships with Commercial Mobile Operators 72
2.2.2.2 Private LTE and WiMAX Networks 72
2.2.3 Can Mobile Broadband Technologies Replace LMR Systems? 72
2.2.4 How Big is the Commercial Mobile Broadband Market? 73
2.2.5 Will the Public Safety Witness the Same Level of Growth as the Consumer Sector? 73
2.2.6 What are the Growth Drivers? 74
2.3 Why LTE? 74
2.3.1 Performance Metrics 75
2.3.2 Coexistence, Interoperability and Spectrum Flexibility 75
2.3.3 A Thriving Ecosystem 76
2.3.4 Economic Feasibility 76
2.4 Public Safety LTE Technology & Architecture 77
2.4.1 UE (User Equipment) 77
2.4.1.1 Smartphones & Handportable Terminals 78
2.4.1.2 Vehicle-Mounted Routers & Terminals 78
2.4.1.3 Stationary CPEs 79
2.4.1.4 Tablets & Notebook PCs 79
2.4.1.5 USB Dongles, Embedded IoT Modules & Others 79
2.4.2 E-UTRAN – The LTE RAN (Radio Access Network) 80
2.4.2.1 eNB Base Stations 80
2.4.2.2 TDD vs. FDD 81
2.4.3 Transport Network 81
2.4.4 EPC (Evolved Packet Core) – The LTE Mobile Core 81
2.4.4.1 SGW (Serving Gateway) 82
2.4.4.2 PGW (Packet Data Network Gateway) 82
2.4.4.3 MME (Mobility Management Entity) 82
2.4.4.4 HSS (Home Subscriber Server) 82
2.4.4.5 PCRF (Policy Charging and Rules Function) 83
2.4.5 IMS (IP-Multimedia Subsystem), Application & Service Elements 83
2.4.5.1 IMS Core & VoLTE 83
2.4.5.2 eMBMS (Enhanced Multimedia Broadcast Multicast Service) 84
2.4.5.3 ProSe (Proximity Services) 84
2.4.5.4 Group Communication & Mission-Critical Services 85
2.4.6 Gateways for LTE-LMR Interworking 85
2.5 LTE-Advanced & 5G: Implications for Public Safety 86
2.5.1 The Move Towards LTE-Advanced Networks 86
2.5.2 LTE Advanced Pro: Accelerating Public Safety LTE Rollouts 87
2.5.3 5G Requirements: Looking Towards the Future 87
2.5.4 5G Applications for Public Safety 89
2.6 Support for Roaming in Public Safety LTE Networks 90
2.6.1 Inter-System Roaming 90
2.6.2 Intra-System Roaming with External LTE Networks 90
2.7 Public Safety LTE Deployment Models 91
2.7.1 Private Public Safety LTE 91
2.7.2 Shared Commercial Public Safety LTE: Private-Public Partnerships 91
2.7.3 Public Safety LTE Access over Commercial Mobile Networks 92
2.7.4 Hosted-Core Public Safety LTE Networks 92
2.8 Funding Models for Private Public Safety LTE Network Deployments 92
2.8.1 BOO (Built, Owned and Operated) by Integrator/Vendor 92
2.8.2 Owned and Operated by the Government Authority 93
2.8.3 Local Agency Hosted Core 93
2.8.4 Multiple Networks 93
2.9 Market Growth Drivers 94
2.9.1 Higher Throughput and Low Latency 94
2.9.2 Economic Feasibility 94
2.9.3 Bandwidth Flexibility 94
2.9.4 Spectral Efficiency 95
2.9.5 Regional Interoperability 95
2.9.6 Lack of Competition from Other Standards 95
2.9.7 Endorsement from the Public Safety Community 96
2.9.8 Commitments by Infrastructure and Device Vendors 96
2.9.9 QoS (Quality of Service), Priority & Preemption Provisioning 96
2.9.10 Group Voice & Multimedia Communications Support 97
2.10 Market Barriers 97
2.10.1 Spectrum Allocation 97
2.10.2 Budgetary Issues 98
2.10.3 Delayed Standardization 98
2.10.4 Dependency on New Chipsets & Devices for Dedicated Public Safety Features 99
2.10.5 Smaller Coverage Footprint than LMR Systems 99

3 Chapter 3: Key Enabling Technologies for Public Safety LTE 100
3.1 Mission-Critical Voice & Group Communications 100
3.1.1 Group Communications 100
3.1.1.1 GCSE (Group Communication System Enablers) 100
3.1.1.2 eMBMS (Multimedia Broadcast Multicast Service) 101
3.1.1.3 Additional Group-Based Enhancements 102
3.1.2 MCPTT (Mission-Critical PTT) 102
3.1.2.1 Architecture & Functional Capabilities 102
3.1.2.2 Performance Comparison with LMR Voice Services 103
3.1.3 Mission-Critical Data & Video 104
3.2 D2D (Device-to-Device) Functionality 105
3.2.1 ProSe (Proximity Services) for D2D Connectivity & Communications 105
3.2.2 ProSe Service Classification 106
3.2.2.1 Discovery 106
3.2.2.2 Direct Communication 106
3.2.3 Public Safety Applications for ProSe 107
3.2.3.1 Direct Communication for Coverage Extension 107
3.2.3.2 Direct Communication within Network Coverage 108
3.2.3.3 Infrastructure Failure & Emergency Situations 108
3.2.3.4 Additional Capacity for Incident Response & Special Events 108
3.2.3.5 Discovery Services for Disaster Relief 108
3.3 IOPS (Isolated E-UTRAN Operation for Public Safety) 109
3.3.1 Ensuring Resilience and Service Continuity for Public Safety LTE Users 109
3.3.2 Localized EPC & Application Capabilities 110
3.3.3 Support for Regular & Nomadic eNBs 110
3.3.4 Isolated E-UTRAN Scenarios 110
3.3.4.1 No Backhaul 110
3.3.4.2 Limited Backhaul for Signaling Only 111
3.3.4.3 Limited Backhaul for Signaling & User Data 111
3.4 Deployable LTE Systems 111
3.4.1 Key Operational Capabilities 111
3.4.1.1 eNB-Only Systems for Coverage & Capacity Enhancement 111
3.4.1.2 Mobile Core Integrated Systems for Autonomous Operation 111
3.4.1.3 Backhaul Connectivity 112
3.4.2 NIB (Network-in-a-Box): Self-Contained Portable Systems 112
3.4.2.1 Backpacks 112
3.4.2.2 Tactical Cases 112
3.4.3 Vehicular Platforms 113
3.4.3.1 COW (Cell-on-Wheels) 113
3.4.3.2 COLT (Cell-on-Light Truck) 113
3.4.3.3 SOW (System-on-Wheels) 114
3.4.3.4 VNS (Vehicular Network System) 114
3.4.4 Airborne Platforms 114
3.4.4.1 Drones 115
3.4.4.2 Balloons 115
3.4.4.3 Other Aircraft 116
3.4.5 Maritime Platforms 116
3.5 UE Enhancements 116
3.5.1 Ruggedization for Meet Public Safety Usage Requirements 116
3.5.2 Dedicated PTT-Buttons & Functional Enhancements 117
3.5.3 Long-Lasting Batteries 117
3.5.4 HPUE (High-Power User Equipment) 117
3.6 QPP (QoS, Priority & Preemption) 118
3.6.1 3GPP Specified QPP Capabilities 118
3.6.1.1 Access Priority: ACB (Access Class Barring) 118
3.6.1.2 Admission Priority & Preemption: ARP (Allocation and Retention Priority) 118
3.6.1.3 Traffic Scheduling Priority: QCI (QoS Class Indicator) 119
3.6.1.4 Emergency Scenarios: eMPS (Enhanced Multimedia Priority Service) 119
3.6.2 Additional QPP Enhancements 119
3.7 End-to-End Security 120
3.7.1 3GPP Specified LTE Security Architecture 120
3.7.1.1 Device Security 120
3.7.1.2 Air Interface & E-UTRAN Security 121
3.7.1.3 Mobile Core & Transport Network Security 121
3.7.2 Application Domain Protection & E2EE (End-to-End Encryption) 122
3.7.3 Enhancements to Support National Security & Additional Requirements 123
3.8 Complimentary Technologies & Concepts 124
3.8.1 Satellite Communications 124
3.8.2 High Capacity Microwave Links 124
3.8.3 Spectrum Sharing & Aggregation 125
3.8.4 MOCN (Multi-Operator Core Network) 125
3.8.5 DECOR (Dedicated Core) 125
3.8.6 Network Slicing 126
3.8.7 NFV (Network Functions Virtualization) 127
3.8.8 SDN (Software Defined Networking) 128
3.8.9 C-RAN (Centralized RAN) 128
3.8.10 MEC (Multi-Access Edge Computing) 129

4 Chapter 4: Review of Major Public Safety LTE Engagements 131
4.1 FirstNet (First Responder Network) Authority 131
4.1.1 Contract Award 132
4.1.1.1 Leveraging AT&T’s Commercial LTE Network Assets 132
4.1.1.2 Band 14 Nationwide Public Safety Broadband Network Buildout 132
4.1.1.3 Interoperability with Opt-Out Statewide Networks 133
4.1.2 Present Status 134
4.1.2.1 Buildout Activity 134
4.1.2.2 Disaster Preparedness & Network Hardening 134
4.1.2.3 Readiness of Deployable Network Assets 135
4.1.2.4 Opt-In States & Territories 136
4.1.2.5 Alternative Network Plans & Potential Opt-Outs 137
4.1.2.6 App & Device Ecosystem 137
4.1.3 Pricing for FirstNet Subscription Packages 138
4.1.4 Deployment Plan 139
4.1.4.1 2017: IOC (Initial Operating Capability) Stage 1 & Initial Buildout 139
4.1.4.2 2018 – 2021: IOC Stages 2 – 5 140
4.1.4.3 2022: FOC (Final Operational Capability) 141
4.1.4.4 2023 & Beyond: Additional Technology Upgrades 141
4.1.5 Key Applications 141
4.1.6 Status of “Early Builder” Ventures 142
4.1.6.1 LA-RICS (Los Angeles Regional Interoperable Communications System) 142
4.1.6.2 ADCOM-911 (Adams County Communications Center) 143
4.1.6.3 NMFirstNet (New Mexico FirstNet) 144
4.1.6.4 JerseyNet 145
4.1.6.5 HCLTE (Harris County LTE) 146
4.2 United Kingdom’s ESN (Emergency Services Network) 149
4.2.1 Rationale for Leveraging Commercial Networks 149
4.2.2 Major Contract Awards 149
4.2.2.1 Project Delivery 150
4.2.2.2 Mobile Services 150
4.2.2.3 User Services 151
4.2.3 Enabling Projects 151
4.2.4 Present Status 152
4.2.4.1 Operational Testing & Feature Implementation 152
4.2.4.2 Infrastructure Rollout 152
4.2.4.3 Rapid Response Vehicles for Coverage Extension 153
4.2.4.4 User Device Procurement 154
4.2.5 Deployment Plan 154
4.2.5.1 Design, Testing, Functional Trials & Service Readiness 154
4.2.5.2 Mobilization & Major Operational Trials 155
4.2.5.3 Airwave-to-ESN Transition 155
4.2.6 Key Applications 155
4.2.7 Possibility Continuity of Airwave 156
4.3 South Korea’s Safe-Net (National Disaster Safety Communications Network) 157
4.3.1 Initial Contract Awards 157
4.3.2 Present Status 158
4.3.2.1 Pilot Rollout & Initial Testing 158
4.3.2.2 Public Safety Support for the 2018 PyeongChang Winter Olympics 158
4.3.3 Deployment Plan 159
4.3.3.1 Phase I 159
4.3.3.2 Phase II 159
4.3.3.3 Phase III 160
4.3.4 Key Applications 160
4.3.5 Integration with Railway & Maritime Networks 162
4.4 Other Deployment Case Studies 163
4.4.1 Abu Dhabi Police 163
4.4.2 ALTÁN Redes 164
4.4.3 ASTRID 166
4.4.4 French Army 167
4.4.5 German Armed Forces (Bundeswehr) 168
4.4.6 Kenyan Police Service 169
4.4.7 Lijiang Police 171
4.4.8 MRC (Mobile Radio Center) 172
4.4.9 MSB (Swedish Civil Contingencies Agency) 173
4.4.10 Nedaa 174
4.4.11 Persistent Telecom 175
4.4.12 PSCA (Punjab Safe Cities Authority) 176
4.4.13 Qatar MOI (Ministry of Interior) 177
4.4.14 RESCAN (Canary Islands Network for Emergency and Security) 178
4.4.15 Rivas Vaciamadrid City Council 179
4.4.16 Shanghai Police Department 180
4.4.17 Singapore MHA (Ministry of Home Affairs) 182
4.4.18 Southern Linc 183
4.4.19 State Security Networks Group 185
4.4.20 Telstra LANES (LTE Advanced Network for Emergency Services) 187
4.4.21 Ukkoverkot 189

For More Information Kindly Contact: 
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How Coronavirus Pandemic Will Impact Automotive OTA Updates Market – Global Industry Analysis, Size, Share, Growth, Trends, And Forecast 2017 – 2025

Stringent protocols and policies about vehicle safety and increasing demand for connected car devices and services to increase the demand for over-the-air (OTA) updates market for automotive. Major factors driving the automotive OTA updates market include the increased production of electric vehicles, rising demand for connected car devices, government regulations regarding safety and cyber security of the vehicle, and increasing demand for advanced applications such as telematics and infotainment. Furthermore, the new vehicle safety norms are encouraging automotive manufacturers to protect vehicle data from remote hacking and malfunctioning, which in turn is increase in the demand for automotive OTA updates market. The non-availability of supporting infrastructure in developing countries is anticipated to hinder the automotive OTA updates market.

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The global automotive OTA updates market can be segmented based on technology, application, vehicle, electric vehicle, and region. In terms of technology, the automotive OTA updates market can be divided into firmware over-the-air (FOTA), and software over-the-air (SOTA). Based on application, the automotive OTA updates market can be classified into electronic control unit, telematics control unit, infotainment, and safety & security. The telematics control unit segment is anticipated expand during the forecast period due to the increase in number of telecommunication applications. Several automotive manufacturers are offering telematics control unit as a standard device in their vehicles. Automotive manufacturers such as General Motors, Mercedes Benz, BMW, and Volkswagen AG provide the telematics control unit in their passenger car models. Furthermore, the telematics control unit is expected to help automotive companies to examine the frequently occurring problems within a vehicle, which in turn is likely to be rectified in the new products. The updates in telematics control unit applications and real-time data analytics are estimated to drive the telematics control unit application segment of the automotive OTA updates market. Based on vehicle, the automotive OTA updates market can be divided into passenger vehicle, light commercial vehicle, and heavy commercial vehicle. The passenger vehicle segment is estimated to expand significantly during the forecast period due to the rise in income level and significant difference in the average amount of money spent on automobile safety and security for personal use vehicle. In terms of electric vehicle, the automotive OTA updates market can be segregated into battery vehicle, hybrid electric vehicle, and plug-in hybrid electric vehicle. Continuous promotion and support by the government in the usage of green energy is expected to drive the electrical vehicle segment during the forecast period. The hybrid electric vehicles segmented accounted for a higher share of the global market as compared to battery electric vehicle and plug-in hybrid electric vehicle segments.

Based on geography, the global automotive OTA updates market can be divided into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. North America is projected to hold a significant share of the automotive OTA updates market during the forecast period. Expansion of the market in the region can be attributed to various factors such as increasing number of connected car devices in vehicles, rise in production of electric vehicles, and frequent infotainment & telematics services updates. Moreover, strategic alliances between automotive manufacturers and non-automotive companies, exceptional communication infrastructure, and government regulations for vehicle data security are expected to increase in demand for OTA updates market in the region.

Key players operating in the global automotive OTA updates market are Robert Bosch Gmbh, Continental Ag, Apple Inc., Harman International Industries Inc., ATS Advanced Telematic Systems Gmbh, Google Inc., Blackberry Limited, and Nvidia Corporation.

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.

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The study is a source of reliable data on:

  • Market segments and sub-segments
  • Market trends and dynamics
  • Supply and demand
  • Market size
  • Current trends/opportunities/challenges
  • Competitive landscape
  • Technological breakthroughs
  • Value chain and stakeholder analysis

The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

Highlights of the report:

  • A complete backdrop analysis, which includes an assessment of the parent market
  • Important changes in market dynamics
  • Market segmentation up to the second or third level
  • Historical, current, and projected size of the market from the standpoint of both value and volume
  • Reporting and evaluation of recent industry developments
  • Market shares and strategies of key players
  • Emerging niche segments and regional markets
  • An objective assessment of the trajectory of the market
  • Recommendations to companies for strengthening their foothold in the market

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Potential Impact of COVID-19 on The Mobile Phone Insurance Ecosystem: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts

Given the increasing prevalence of expensive household goods, cars and consumer electronics, insurance has become an unavoidable and often necessary cost in modern life. Mobile phones, and smartphones in particular are no exception to this trend.

Most major mobile operators, insurance specialists, device OEMs, retailers and even banks now offer insurance plans that cover theft, loss, malfunctions and damage of mobile phones. Many policies now also integrate enhanced technical support and additional protection features such as data backup facilities, allowing users to securely backup their phone data online.

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SNS Research estimates that the global mobile phone insurance market is expected to account for $20.5 Billion in revenue by the end of 2017. The market is further expected to grow at a CAGR of approximately 10% over the next three years, eventually accounting for more than $27 Billion in revenue by the end of 2020.

The “Mobile Phone Insurance Ecosystem: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the mobile phone insurance ecosystem including market drivers, challenges, opportunities, value chain, future roadmap, case studies, ecosystem player profiles and strategies. The report also presents market size forecasts from 2017 through to 2030. The forecasts are segmented for 3 sales channels, 5 regions and 25 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

The report covers the following topics:

  • Mobile phone insurance ecosystem
  • Market drivers and barriers
  • Insurance policy structure, distribution channels and key trends
  • Case studies of mobile phone insurance initiatives
  • Industry roadmap and value chain
  • Profiles and strategies of over 80 leading ecosystem players
  • Strategic recommendations for ecosystem players
  • Market analysis and forecasts from 2017 till 2030

Forecast Segmentation

Market forecasts are provided for each of the following submarkets and their categories:

Sales Channel Segmentation

  • Mobile Operators
  • Device OEMs
  • Retailers & Others

Regional Segmentation

  • Asia Pacific
  • Europe
  • Latin & Central America
  • Middle East & Africa
  • North America

Country Level Segmentation

Argentina, Australia, Brazil, Canada, China, Colombia, France, Germany, Hong Kong, India, Israel, Italy, Japan, Mexico, Netherlands, Poland, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Taiwan, UK & USA

Key Questions Answered

The report provides answers to the following key questions:

  • How big is the mobile phone insurance opportunity?
  • What trends, challenges and barriers are influencing its growth?
  • How is the ecosystem evolving by region?
  • What will the market size be in 2020 and at what rate will it grow?
  • Which countries will see the highest percentage of growth?
  • Who are the key market players and what are their strategies?
  • What risks are typically covered in mobile phone insurance offerings?
  • How can insurance plans help mobile operators in reducing churn?
  • What strategies should mobile operators, device OEMs and insurance providers adopt to remain competitive?

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Key Findings

The report has the following key findings:

  • SNS Research estimates that the global mobile phone insurance market is expected to account for $20.5 Billion in revenue by the end of 2017. The market is further expected to grow at a CAGR of approximately 10% over the next three years, eventually accounting for more than $27 Billion in revenue by the end of 2020.
  • In an effort to boost the uptake of their mobile phone insurance plans, mobile operators and insurance providers have extensively enhanced their offerings with a number of differentiating features such as multi-device coverage, integrated device security apps, prioritized technical support, door-to-door repair services and secure data storage for photos and videos.
  • To accelerate the adoption of mobile phone insurance in developing markets, mobile operators are experimenting with an array of strategies ranging from complimentary insurance schemes to bundling insurance with inexpensively priced mobile security offerings.
  • Many smartphone OEMs – including Apple, Samsung, HTC, Acer, Motorola Mobility and Xiaomi – already offer their own branded protection plans across multiple countries, and others are expected to follow suit. By the end of 2020, OEM branded plans will account for a market worth nearly $4.5 Billion.

List of Companies Mentioned

  • A Wireless
  • Acer
  • AIG (American International Group)
  • Allianz Insurance
  • Allianz SE Group
  • Allstate Corporation
  • América Móvil
  • AmTrust Financial Services
  • AmTrust International Underwriters
  • AmTrust Mobile Solutions
  • Aon
  • Appalachian Wireless
  • Apple
  • Assurant
  • Asurion
  • ASUS (ASUSTeK Computer)
  • AT&T
  • Avast Software
  • AVG Technologies
  • Aviva
  • AXA
  • Barclays
  • BBVA Seguros
  • Best Buy
  • BlackBerry
  • BNP Paribas
  • BNP Paribas Cardif
  • Bouygues Telecom
  • Brightstar Corporation
  • BT Group
  • Cellebrite
  • CGU Insurance
  • Chubb
  • Claro
  • CNA Financial Corporation
  • Conecta Serviços
  • CWS (Connected World Services)
  • Diamond Wireless
  • Dixons Carphone
  • DT (Deutsche Telekom)
  • EE
  • Endsleigh Insurance Services
  • eSecuritel
  • Fonesure
  • Fortegra Financial Corporation
  • Freedom Mobile
  • Garantec
  • Geek Squad
  • Groupama Banque
  • Grupo MOK (MultiServicios OK)
  • HL Assurance
  • Hollard Group
  • Hong Leong Group
  • HSBC
  • HTC Corporation
  • IAG (Insurance Australia Group)
  • IC Frith
  • Ingram Micro
  • Inhance Technology
  • iQmetrix
  • Itaú Unibanco
  • Kaspersky Lab
  • KB Financial Group
  • KB Insurance
  • KPN
  • Lenovo
  • Liberty Mutual Insurance Group
  • Lifestyle Services Group
  • Lookout
  • M1
  • Markerstudy
  • McAfee
  • Microsoft Corporation
  • Mobi PCS
  • Mobile Rhino (Stuckey & Company)
  • Mobilogy
  • Motorola Mobility
  • MPI Generali
  • MTN
  • Munich Re
  • NIA (New India Assurance)
  • Nippon Life Insurance
  • Nokia
  • NQ Mobile
  • NTT DoCoMo
  • Optus
  • Orange
  • Pacífico Seguros
  • Pier Insurance Managed Services
  • Pitzi
  • Protecsure
  • ProtectCELL
  • Rakuten
  • Risk Insure
  • Safeware
  • Salt Mobile
  • Samsung Electronics
  • SFR
  • Simplesurance
  • Singtel
  • SoftBank Corporation
  • Sony Mobile Communications
  • So-Sure
  • Spark New Zealand
  • SPB
  • Sprint Corporation
  • SquareTrade
  • StarHub
  • Sun Corporation
  • Supercover Insurance
  • SURE
  • Swisscom
  • Symantec Corporation
  • Telcel
  • Telefónica Group
  • Telefónica Insurance
  • Telstra
  • Telus
  • The Warranty Group
  • Three Ireland (Hutchison)
  • T-Mobile USA
  • Tokio Marine
  • Trend Micro
  • Verizon Communications
  • V-Key Solutions
  • Vodafone Group
  • Warrantech
  • Worth Avenue Group
  • Zimperium
  • Zurich Insurance Group

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Table of Contents

1 Chapter 1: Introduction 11
1.1 Executive Summary 11
1.2 Topics Covered 12
1.3 Forecast Segmentation 13
1.4 Key Questions Answered 14
1.5 Key Findings 15
1.6 Methodology 16
1.7 Target Audience 17
1.8 Companies & Organizations Mentioned 18

2 Chapter 2: An Overview of Mobile Phone Insurance 20
2.1 The Role of Insurance in Our Daily Lives 20
2.2 Why Have Mobile Phone Insurance? 21
2.3 What Risks Are Typically Covered? 22
2.3.1 Accidental, Malicious or Liquid Damage 22
2.3.2 Electrical or Mechanical Breakdown 22
2.3.3 Theft or Loss 22
2.3.4 Unauthorized Calls & Usage 22
2.3.5 Data Backup Facilities 23
2.3.6 Overseas Cover 23
2.3.7 Accessories 23
2.3.8 Others 23
2.4 Distribution & Sales Channels for Insurance Plans 23
2.4.1 Mobile Operator Branded 24
2.4.2 Device OEM Branded 24
2.4.3 Associated with Bank Accounts 24
2.4.4 Retailers & Other Direct-to-Consumer 24
2.5 Market Drivers 24
2.5.1 Growing Penetration of Smartphones 25
2.5.2 BYOD: Perfect Candidates for Insurance 25
2.5.3 Reducing Service Disruption 25
2.5.4 Proliferation of Large Screen Devices 26
2.5.5 Packaged Policies 26
2.5.6 Strong Support of Tier 1 Mobile Operators 26
2.5.7 Growth of Mobile Payments: Creating New Opportunities for Insurance 26
2.6 Market Barriers 27
2.6.1 Consumer Disbelief in Insurance 27
2.6.2 Unclear Terms & Conditions 27
2.6.3 Fraud 27
2.6.4 Slow & Unfair Claims Handling 27
2.6.5 Time Limitation to Purchase Policy 28

3 Chapter 3: Value Chain & Future Roadmap 29
3.1 Value Chain 29
3.1.1 Mobile Operators 29
3.1.2 Mobile Device OEMs 30
3.1.3 Banks 30
3.1.4 Retailers 30
3.1.5 Underwriters & Insurance Administrators 30
3.2 Future Roadmap: 2017 –  2030 31
3.2.1 2017 – 2020: Adoption of OEM Branded Plans & Premium Device Protection 31
3.2.2 2020 – 2025: Growing Proliferation in Developing Economies 32
3.2.3 2025 – 2030: Continued Growth with the Adoption of Connected Living Technologies 33

4 Chapter 4: Case Studies 34
4.1 Asurion: Replicating North American Success in Other Regional Markets 34
4.2 AT&T: Championing Flexible & Premium Mobile Protection Plans 35
4.3 Brightstar Corporation: Increasing Insurance Revenue for a Rural Carrier 36
4.4 HL Assurance: Differentiating Mobile Phone Insurance with Door-to-Door Repair Services 37
4.5 Microsoft & Samsung: Alliances with Local Insurance Regulators 38
4.6 MTN & Vodacom: Innovating Insurance Programs in Africa 39
4.7 NTT DoCoMo: Pioneering Mobile Phone Insurance in Japan 40
4.8 So-Sure: Introducing Social Insurance for Mobile Phones 41
4.9 Telefónica Insurance: A Mobile Operator Owned Insurance Company 42
4.10 Vodafone Group: Driving the Adoption of Carrier-Branded Mobile Phone Insurance Programs 43

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Most Definitive & Accurate Study on Frozen Foods Market In India 2020

In recent years, the demand for frozen foods has shot up in India, following the rapid increase in the number of supermarkets and retail stores, along with proper refrigeration facilities. The frozen foods market in India was valued at INR 85.27 Bn in 2019 and is expected to reach INR 192.96 Bn by 2024, expanding at a compound annual growth rate (CAGR) of ~17.74% during the 2019-2024 period.
Several government schemes like Integrated Development of Horticulture (MIDH) and Pradhan Mantri Kisan Sampada Yojana (PMKSY) have provided financial support for building and enhancing new cold storage facilities in India. The advancement in cold chain infrastructure has further supported the supply and distribution of frozen food products in tier I cities. This has spurred growth in the countrys frozen food market.
Improved shelf-life and packaging of frozen foods has further fueled market growth. Consequently, several frozen food providers are investing in various technologies to store frozen vegetables, frozen meat/fish, and partially and fully-cooked food for longer durations. With busy lifestyles and rising disposable income, frozen ready-to-cook (RTC) and ready-to-eat (RTE) products are becoming consumers preferred choice.

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Market segment insights:
Based on sales channel, the Indian frozen food market is segmented into retailers, food service providers and export. In 2019, the export segment held ~47.64% of the total market revenue. The frozen food export was the leading sales segment in 2019 contributing to ~47.64% of the total market revenue during the year. This segment is anticipated to dominate till the end of 2024, as the demand for food continues to rise globally.
Retailer segment is expected to be the fast-growing segment, expanding at a CAGR of 21.44% during the forecast period and is expected to account for ~22.78% of the frozen food market revenue by 2024. The rising popularity of convenience foods including frozen vegetables, frozen meat and frozen snacks among working women, millennials, and Gen-Z consumers is expected to push retailers to increase their storage capacity of frozen foods. Moreover, surge in smartphone usage and increased penetration of the Internet have created opportunities for online grocery stores like BigBasket, Amazon and Grofers to enter the frozen food market in India.

Market competition:
Owing to stringent regulations in terms of food safety and higher capital requirements for building reliable infrastructure to store frozen foods, the threat of new entrants remains low in this market. Moreover, presence of established players like ITC, McCain Foods, Mother Dairy and Godrej Yummiez has further increased the entry barrier for the new players to establish their businesses.
However, the intensity of rivalry among established players is very high. Frozen food products are mostly undifferentiated, and hence market players compete in terms of pricing and brand loyalty.
Companies covered
Apex Frozen Foods Ltd.
Godrej Agrovet Ltd.
ITC Ltd.
Venky’s (India) Ltd.
Capricorn Food Products India Ltd.
HyFun Frozen Foods Pvt. Ltd.
Innovative Foods Ltd.
Mother Dairy Fruit and Vegetable Pvt. Ltd.
Top Fresh International Pvt. Ltd.
McCain Foods (India) Pvt. Ltd.

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Table Of Content

Chapter 1: Executive summary

Chapter 2: Socio-economic indicators

Chapter 3: Introduction
3.1. Market definition and structure
3.2. Major global players using AI-based manufacturing process

Chapter 4: India artificial intelligence market overview
4.1. India artificial intelligence market overview
4.1.1. India artificial intelligence market size and growth forecast
4.1.2. Funding in the Indian AI start-ups

Chapter 5: India manufacturing industry overview
5.1. India manufacturing industry overview
5.1.1. India gross value added (GVA) of manufacturing

Chapter 6: Artificial intelligence in the Indian manufacturing industry
6.1. Impact of artificial intelligence in the Indian manufacturing industry

Chapter 7: Use cases of AI in the manufacturing industry
7.1. Use cases of AI in the manufacturing industry

Chapter 8: Case studies
8.1. Case study Blue Star Ltd.
8.2. Case study TVS Motor Company Ltd.
8.3. Case study JK Tyre & Industries Ltd.
8.4. Case study Bajaj Auto Ltd.
8.5. Case study Asian Paints Ltd.

Chapter 9: Market influencers
9.1. Market drivers
9.2. Market challenges

Chapter 10: Competitive landscape
10.1. Abee Research Labs Pvt. Ltd.
10.1.1. Company information
10.1.2. Business description
10.1.3. Products/services
10.1.4. Key people
Similar information covered for remaining companies
10.2. EroNkan Technologies Pvt. Ltd.
10.3. Flutura Business Solutions Pvt. Ltd.
10.4. LivNSense Technologies Pvt. Ltd.
10.5. Universal Robots (India) Pvt. Ltd.
10.6. Altizon Systems Pvt. Ltd.
10.7. IBM India Pvt. Ltd.

Chapter 11: Appendix
11.1. Research methodology
11.2. About Netscribes
11.3. Disclaimer

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