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麻豆原创 > Big Data in the Insurance Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts

Big Data in the Insurance Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts

Publication ID: 
SNS0818001
Publication Date: 
August 2, 2018
Pages: 
500
Publisher: 
Signals and Systems Telecom
Countries: 
Global [1]
USD 2,500.00

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Banking & Finance [2]
Banking [3]
Insurance [4]
Computing & Electronics [5]
Big Data [6]
Description: 
鈥淏ig Data鈥� 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.
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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 insurance industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and personalized products to usage-based insurance, efficient claims processing, proactive fraud detection and beyond.
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SNS Telecom & IT estimates that Big Data investments in the insurance industry will account for more than $2.4 Billion in 2018 alone. Led by a plethora of business opportunities for insurers, reinsurers, insurance brokers, InsurTech specialists and other stakeholders, these investments are further expected to grow at a CAGR of approximately 14% over the next three years.
The 鈥淏ig Data in the Insurance Industry: 2018 鈥� 2030 鈥� Opportunities, Challenges, Strategies & Forecasts鈥� report presents an in-depth assessment of Big Data in the insurance 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 submarkets, 8 application areas, 9 use cases, 6 regions and 35 countries.
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The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.听听 听Topics Covered
The report covers the following topics:听
听- Big Data ecosystem
听- 麻豆原创 drivers and barriers
听- Enabling technologies, standardization and regulatory initiatives
听- Big Data analytics and implementation models
听- Business case, application areas and use cases in the insurance industry
听- 20 case studies of Big Data investments by insurers, reinsurers, InsurTech specialists and other stakeholders in the insurance industry
听- Future roadmap and value chain
听- Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
听- Strategic recommendations for Big Data vendors and insurance industry stakeholders
听- 麻豆原创 analysis and forecasts from 2018 till 2030
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Forecast Segmentation
麻豆原创 forecasts are provided for each of the following submarkets and their subcategories:
Hardware, Software & Professional Services
听- Hardware
听- Software
听- Professional Services
Horizontal Submarkets
听- Storage & Compute Infrastructure
听- Networking Infrastructure
听- Hadoop & Infrastructure Software
听- SQL
听- NoSQL
听- Analytic Platforms & Applications
听- Cloud Platforms
听- Professional Services
Application Areas
听- Auto Insurance
听- Property & Casualty Insurance
听- Life Insurance
听- Health Insurance
听- Multi-Line Insurance
听- Other Forms of Insurance
听- Reinsurance
听- Insurance Broking
Use Cases
听- Personalized & Targeted 麻豆原创ing
听- Customer Service & Experience
听- Product Innovation & Development
听- Risk Awareness & Control
听- Policy Administration, Pricing & Underwriting
听- Claims Processing & Management
听- Fraud Detection & Prevention
听- Usage & Analytics-Based Insurance
听- Other Use Cases
Regional 麻豆原创s
听- Asia Pacific
听- Eastern Europe
听- Latin & Central America
听- Middle East & Africa
听- North America
听- Western Europe
Country 麻豆原创s

听- Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, 听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, 听USA
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Key Questions Answered听
The report provides answers to the following key questions:
听- How big is the Big Data opportunity in the insurance industry?
听- How is the market evolving by segment and region?
听- What will the market size be in 2021, and at what rate will it grow?
听- What trends, challenges and barriers are influencing its growth?
听- Who are the key Big Data software, hardware and services vendors, and what are their strategies?
听- How much are insurers, reinsurers, InsurTech specialists and other stakeholders investing in Big Data?
听- What opportunities exist for Big Data analytics in the insurance industry?
听- Which countries, application areas and use cases will see the highest percentage of Big Data investments in the insurance industry?
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Key Findings听
The report has the following key findings:听
听- In 2018, Big Data vendors will pocket more than $2.4 Billion from hardware, software and professional services revenues in the insurance industry. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for nearly $3.6 Billion by the end of 2021.
听- Through the use of Big Data technologies, insurers and other stakeholders are beginning to exploit their data assets in a number of innovative ways ranging from targeted marketing and personalized products to usage-based insurance, efficient claims processing, proactive fraud detection and beyond.
听- The growing adoption of Big Data technologies has brought about an array of benefits for insurers and other stakeholders. Based on feedback from insurers worldwide, these include but are not limited to an increase in access to insurance services by more than 30%, a reduction in policy administration workload by up to 50%, prediction of large loss claims with an accuracy of nearly 80%, cost savings in claims processing and management by 40-70%, accelerated processing of non-emergency insurance claims by a staggering 90%; and improvements in fraud detection rates by as much as 60%.听
听- In addition, Big Data technologies are playing a pivotal role in facilitating the adoption of on-demand insurance models 鈥� particularly in auto, life and health insurance, as well as the insurance of new and underinsured risks such as cyber crime.
Table Of Contents: 
1听听 听Chapter 1: Introduction听听 听23
1.1听听 听Executive Summary听听 听23
1.2听听 听Topics Covered听听 听25
1.3听听 听Forecast Segmentation听听 听26
1.4听听 听Key Questions Answered听听 听28
1.5听听 听Key Findings听听 听29
1.6听听 听Methodology听听 听30
1.7听听 听Target Audience听听 听31
1.8听听 听Companies & Organizations Mentioned听听 听32
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2听听 听Chapter 2: An Overview of Big Data听听 听35
2.1听听 听What is Big Data?听听 听35
2.2听听 听Key Approaches to Big Data Processing听听 听35
2.2.1听听 听Hadoop听听 听36
2.2.2听听 听NoSQL听听 听38
2.2.3听听 听MPAD (Massively Parallel Analytic Databases)听听 听38
2.2.4听听 听In-Memory Processing听听 听39
2.2.5听听 听Stream Processing Technologies听听 听39
2.2.6听听 听Spark听听 听40
2.2.7听听 听Other Databases & Analytic Technologies听听 听40
2.3听听 听Key Characteristics of Big Data听听 听41
2.3.1听听 听Volume听听 听41
2.3.2听听 听Velocity听听 听41
2.3.3听听 听Variety听听 听41
2.3.4听听 听Value听听 听42
2.4听听 听麻豆原创 Growth Drivers听听 听42
2.4.1听听 听Awareness of Benefits听听 听42
2.4.2听听 听Maturation of Big Data Platforms听听 听42
2.4.3听听 听Continued Investments by Web Giants, Governments & Enterprises听听 听43
2.4.4听听 听Growth of Data Volume, Velocity & Variety听听 听43
2.4.5听听 听Vendor Commitments & Partnerships听听 听43
2.4.6听听 听Technology Trends Lowering Entry Barriers听听 听44
2.5听听 听麻豆原创 Barriers听听 听44
2.5.1听听 听Lack of Analytic Specialists听听 听44
2.5.2听听 听Uncertain Big Data Strategies听听 听44
2.5.3听听 听Organizational Resistance to Big Data Adoption听听 听45
2.5.4听听 听Technical Challenges: Scalability & Maintenance听听 听45
2.5.5听听 听Security & Privacy Concerns听听 听45
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3听听 听Chapter 3: Big Data Analytics听听 听46
3.1听听 听What are Big Data Analytics?听听 听46
3.2听听 听The Importance of Analytics听听 听46
3.3听听 听Reactive vs. Proactive Analytics听听 听47
3.4听听 听Customer vs. Operational Analytics听听 听47
3.5听听 听Technology & Implementation Approaches听听 听48
3.5.1听听 听Grid Computing听听 听48
3.5.2听听 听In-Database Processing听听 听48
3.5.3听听 听In-Memory Analytics听听 听49
3.5.4听听 听Machine Learning & Data Mining听听 听49
3.5.5听听 听Predictive Analytics听听 听50
3.5.6听听 听NLP (Natural Language Processing)听听 听50
3.5.7听听 听Text Analytics听听 听51
3.5.8听听 听Visual Analytics听听 听51
3.5.9听听 听Graph Analytics听听 听52
3.5.10听听 听Social Media, IT & Telco Network Analytics听听 听52
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4听听 听Chapter 4: Business Case & Applications in the Insurance Industry听听 听54
4.1听听 听Overview & Investment Potential听听 听54
4.2听听 听Industry Specific 麻豆原创 Growth Drivers听听 听55
4.3听听 听Industry Specific 麻豆原创 Barriers听听 听57
4.4听听 听Key Application Areas听听 听58
4.4.1听听 听Auto Insurance听听 听58
4.4.2听听 听Property & Casualty Insurance听听 听59
4.4.3听听 听Life Insurance听听 听60
4.4.4听听 听Health Insurance听听 听60
4.4.5听听 听Multi-Line Insurance听听 听61
4.4.6听听 听Other Forms of Insurance听听 听61
4.4.7听听 听Reinsurance听听 听62
4.4.8听听 听Insurance Broking听听 听62
4.5听听 听Use Cases听听 听63
4.5.1听听 听Personalized & Targeted 麻豆原创ing听听 听63
4.5.2听听 听Customer Service & Experience听听 听64
4.5.3听听 听Product Innovation & Development听听 听65
4.5.4听听 听Risk Awareness & Control听听 听65
4.5.5听听 听Policy Administration, Pricing & Underwriting听听 听66
4.5.6听听 听Claims Processing & Management听听 听67
4.5.7听听 听Fraud Detection & Prevention听听 听68
4.5.8听听 听Usage & Analytics-Based Insurance听听 听69
4.5.9听听 听Other Use Cases听听 听69
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5听听 听Chapter 5: Insurance Industry Case Studies听听 听71
5.1听听 听Insurers听听 听71
5.1.1听听 听Aegon: Driving Customer Engagement & Sales with Big Data听听 听71
5.1.2听听 听Aetna: Predicting & Improving Health with Big Data听听 听74
5.1.3听听 听Allianz Group: Uncovering Insurance Fraud with Big Data听听 听76
5.1.4听听 听Allstate Corporation & Arity: Making Transportation Safer & Smarter with Big Data听听 听78
5.1.5听听 听AXA: Simplifying Customer Interaction with Big Data听听 听80
5.1.6听听 听China Life Insurance Company: Elevating Risk Awareness with Big Data听听 听83
5.1.7听听 听Cigna: Streamlining Health Insurance Claims with Big Data听听 听85
5.1.8听听 听Dai-ichi Life Holdings: Unlocking & Opening Doors to Life Insurance with Big Data听听 听87
5.1.9听听 听Generali Group: Digitizing the Insurance Value Chain with Big Data听听 听89
5.1.10听听 听Progressive Corporation: Rewarding Safe Drivers & Improving Traffic Safety with Big Data听听 听92
5.1.11听听 听Samsung Fire & Marine Insurance: Transforming Insurance Underwriting with Big Data听听 听95
5.1.12听听 听UnitedHealth Group: Enhancing Patient Care & Value with Big Data听听 听97
5.1.13听听 听Zurich Insurance Group: Improving Risk Management with Big Data听听 听99
5.2听听 听Reinsurers, InsurTech Specialists & Other Stakeholders听听 听101
5.2.1听听 听Atidot: Empowering Life Insurance with Big Data听听 听101
5.2.2听听 听Cape Analytics: Delivering Instant Property Intelligence with Big Data听听 听103
5.2.3听听 听Concirrus: Enabling Smarter Marine & Auto Insurance with Big Data听听 听105
5.2.4听听 听JMDC Corporation: Optimizing Health Insurance Premiums with Big Data听听 听107
5.2.5听听 听MetroMile: Revolutionizing Auto Insurance with Big Data听听 听109
5.2.6听听 听Munich Re: Pioneering Cyber Insurance with Big Data听听 听111
5.2.7听听 听Oscar Health: Humanizing Health Insurance with Big Data听听 听114
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6听听 听Chapter 6: Future Roadmap & Value Chain听听 听116
6.1听听 听Future Roadmap听听 听116
6.1.1听听 听Pre-2020: Investments in Advanced Analytics & AI (Artificial Intelligence)听听 听116
6.1.2听听 听2020 鈥� 2025: Large-Scale Adoption of Usage & Analytics-Based Insurance听听 听117
6.1.3听听 听2025 鈥� 2030: Towards the Digitization of Insurance Services听听 听118
6.2听听 听The Big Data Value Chain听听 听119
6.2.1听听 听Hardware Providers听听 听119
6.2.1.1听听 听Storage & Compute Infrastructure Providers听听 听119
6.2.1.2听听 听Networking Infrastructure Providers听听 听120
6.2.2听听 听Software Providers听听 听120
6.2.2.1听听 听Hadoop & Infrastructure Software Providers听听 听121
6.2.2.2听听 听SQL & NoSQL Providers听听 听121
6.2.2.3听听 听Analytic Platform & Application Software Providers听听 听121
6.2.2.4听听 听Cloud Platform Providers听听 听121
6.2.3听听 听Professional Services Providers听听 听122
6.2.4听听 听End-to-End Solution Providers听听 听122
6.2.5听听 听Insurance Industry听听 听122
听听 听听听 听
7听听 听Chapter 7: Standardization & Regulatory Initiatives听听 听123
7.1听听 听ASF (Apache Software Foundation)听听 听123
7.1.1听听 听Management of Hadoop听听 听123
7.1.2听听 听Big Data Projects Beyond Hadoop听听 听123
7.2听听 听CSA (Cloud Security Alliance)听听 听127
7.2.1听听 听BDWG (Big Data Working Group)听听 听127
7.3听听 听CSCC (Cloud Standards Customer Council)听听 听128
7.3.1听听 听Big Data Working Group听听 听128
7.4听听 听DMG 听(Data Mining Group)听听 听129
7.4.1听听 听PMML (Predictive Model Markup Language) Working Group听听 听129
7.4.2听听 听PFA (Portable Format for Analytics) Working Group听听 听129
7.5听听 听IEEE (Institute of Electrical and Electronics Engineers)听听 听129
7.5.1听听 听Big Data Initiative听听 听130
7.6听听 听INCITS (InterNational Committee for Information Technology Standards)听听 听131
7.6.1听听 听Big Data Technical Committee听听 听131
7.7听听 听ISO (International Organization for Standardization)听听 听132
7.7.1听听 听ISO/IEC JTC 1/SC 32: Data Management and Interchange听听 听132
7.7.2听听 听ISO/IEC JTC 1/SC 38: Cloud Computing and Distributed Platforms听听 听133
7.7.3听听 听ISO/IEC JTC 1/SC 27: IT Security Techniques听听 听133
7.7.4听听 听ISO/IEC JTC 1/WG 9: Big Data听听 听133
7.7.5听听 听Collaborations with Other ISO Work Groups听听 听134
7.8听听 听ITU (International Telecommunication Union)听听 听135
7.8.1听听 听ITU-T Y.3600: Big Data 鈥� Cloud Computing Based Requirements and Capabilities听听 听135
7.8.2听听 听Other Deliverables Through SG (Study Group) 13 on Future Networks听听 听136
7.8.3听听 听Other Relevant Work听听 听136
7.9听听 听Linux Foundation听听 听137
7.9.1听听 听ODPi (Open Ecosystem of Big Data)听听 听137
7.10听听 听NIST (National Institute of Standards and Technology)听听 听137
7.10.1听听 听NBD-PWG (NIST Big Data Public Working Group)听听 听137
7.11听听 听OASIS (Organization for the Advancement of Structured Information Standards)听听 听138
7.11.1听听 听Technical Committees听听 听138
7.12听听 听ODaF (Open Data Foundation)听听 听139
7.12.1听听 听Big Data Accessibility听听 听139
7.13听听 听ODCA (Open Data Center Alliance)听听 听139
7.13.1听听 听Work on Big Data听听 听140
7.14听听 听OGC (Open Geospatial Consortium)听听 听140
7.14.1听听 听Big Data DWG (Domain Working Group)听听 听140
7.15听听 听TM Forum听听 听140
7.15.1听听 听Big Data Analytics Strategic Program听听 听141
7.16听听 听TPC (Transaction Processing Performance Council)听听 听141
7.16.1听听 听TPC-BDWG (TPC Big Data Working Group)听听 听141
7.17听听 听W3C (World Wide Web Consortium)听听 听141
7.17.1听听 听Big Data Community Group听听 听142
7.17.2听听 听Open Government Community Group听听 听142
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8听听 听Chapter 8: 麻豆原创 Sizing & Forecasts听听 听143
8.1听听 听Global Outlook for the Big Data in the Insurance Industry听听 听143
8.2听听 听Hardware, Software & Professional Services Segmentation听听 听144
8.3听听 听Horizontal Submarket Segmentation听听 听145
8.4听听 听Hardware Submarkets听听 听146
8.4.1听听 听Storage and Compute Infrastructure听听 听146
8.4.2听听 听Networking Infrastructure听听 听146
8.5听听 听Software Submarkets听听 听147
8.5.1听听 听Hadoop & Infrastructure Software听听 听147
8.5.2听听 听SQL听听 听147
8.5.3听听 听NoSQL听听 听148
8.5.4听听 听Analytic Platforms & Applications听听 听148
8.5.5听听 听Cloud Platforms听听 听149
8.6听听 听Professional Services Submarket听听 听149
8.6.1听听 听Professional Services听听 听149
8.7听听 听Application Area Segmentation听听 听150
8.7.1听听 听Auto Insurance听听 听151
8.7.2听听 听Property & Casualty Insurance听听 听151
8.7.3听听 听Life Insurance听听 听152
8.7.4听听 听Health Insurance听听 听152
8.7.5听听 听Multi-Line Insurance听听 听153
8.7.6听听 听Other Forms of Insurance听听 听153
8.7.7听听 听Reinsurance听听 听154
8.7.8听听 听Insurance Broking听听 听154
8.8听听 听Use Case Segmentation听听 听155
8.8.1听听 听Personalized & Targeted 麻豆原创ing听听 听156
8.8.2听听 听Customer Service & Experience听听 听156
8.8.3听听 听Product Innovation & Development听听 听157
8.8.4听听 听Risk Awareness & Control听听 听157
8.8.5听听 听Policy Administration, Pricing & Underwriting听听 听158
8.8.6听听 听Claims Processing & Management听听 听158
8.8.7听听 听Fraud Detection & Prevention听听 听159
8.8.8听听 听Usage & Analytics-Based Insurance听听 听159
8.8.9听听 听Other Use Cases听听 听160
8.9听听 听Regional Outlook听听 听161
8.10听听 听Asia Pacific听听 听162
8.10.1听听 听Country Level Segmentation听听 听162
8.10.2听听 听Australia听听 听163
8.10.3听听 听China听听 听163
8.10.4听听 听India听听 听164
8.10.5听听 听Indonesia听听 听164
8.10.6听听 听Japan听听 听165
8.10.7听听 听Malaysia听听 听165
8.10.8听听 听Pakistan听听 听166
8.10.9听听 听Philippines听听 听166
8.10.10听听 听Singapore听听 听167
8.10.11听听 听South Korea听听 听167
8.10.12听听 听Taiwan听听 听168
8.10.13听听 听Thailand听听 听168
8.10.14听听 听Rest of Asia Pacific听听 听169
8.11听听 听Eastern Europe听听 听170
8.11.1听听 听Country Level Segmentation听听 听170
8.11.2听听 听Czech Republic听听 听171
8.11.3听听 听Poland听听 听171
8.11.4听听 听Russia听听 听172
8.11.5听听 听Rest of Eastern Europe听听 听172
8.12听听 听Latin & Central America听听 听173
8.12.1听听 听Country Level Segmentation听听 听173
8.12.2听听 听Argentina听听 听174
8.12.3听听 听Brazil听听 听174
8.12.4听听 听Mexico听听 听175
8.12.5听听 听Rest of Latin & Central America听听 听175
8.13听听 听Middle East & Africa听听 听176
8.13.1听听 听Country Level Segmentation听听 听176
8.13.2听听 听Israel听听 听177
8.13.3听听 听Qatar听听 听177
8.13.4听听 听Saudi Arabia听听 听178
8.13.5听听 听South Africa听听 听178
8.13.6听听 听UAE听听 听179
8.13.7听听 听Rest of the Middle East & Africa听听 听179
8.14听听 听North America听听 听180
8.14.1听听 听Country Level Segmentation听听 听180
8.14.2听听 听Canada听听 听181
8.14.3听听 听USA听听 听181
8.15听听 听Western Europe听听 听182
8.15.1听听 听Country Level Segmentation听听 听182
8.15.2听听 听Denmark听听 听183
8.15.3听听 听Finland听听 听183
8.15.4听听 听France听听 听184
8.15.5听听 听Germany听听 听184
8.15.6听听 听Italy听听 听185
8.15.7听听 听Netherlands听听 听185
8.15.8听听 听Norway听听 听186
8.15.9听听 听Spain听听 听186
8.15.10听听 听Sweden听听 听187
8.15.11听听 听UK听听 听187
8.15.12听听 听Rest of Western Europe听听 听188
听听 听听听 听
9听听 听Chapter 9: Vendor Landscape听听 听189
9.1听听 听1010data听听 听189
9.2听听 听Absolutdata听听 听190
9.3听听 听Accenture听听 听191
9.4听听 听Actian Corporation/HCL Technologies听听 听192
9.5听听 听Adaptive Insights听听 听194
9.6听听 听Adobe Systems听听 听195
9.7听听 听Advizor Solutions听听 听197
9.8听听 听AeroSpike听听 听198
9.9听听 听AFS Technologies听听 听199
9.10听听 听Alation听听 听200
9.11听听 听Algorithmia听听 听201
9.12听听 听Alluxio听听 听202
9.13听听 听ALTEN听听 听203
9.14听听 听Alteryx听听 听204
9.15听听 听AMD (Advanced Micro Devices)听听 听205
9.16听听 听Anaconda听听 听206
9.17听听 听Apixio听听 听207
9.18听听 听Arcadia Data听听 听208
9.19听听 听ARM听听 听209
9.20听听 听AtScale听听 听210
9.21听听 听Attivio听听 听211
9.22听听 听Attunity听听 听212
9.23听听 听Automated Insights听听 听213
9.24听听 听AVORA听听 听214
9.25听听 听AWS (Amazon Web Services)听听 听215
9.26听听 听Axiomatics听听 听217
9.27听听 听Ayasdi听听 听218
9.28听听 听BackOffice Associates听听 听219
9.29听听 听Basho Technologies听听 听220
9.30听听 听BCG (Boston Consulting Group)听听 听221
9.31听听 听Bedrock Data听听 听222
9.32听听 听BetterWorks听听 听223
9.33听听 听Big Panda听听 听224
9.34听听 听BigML听听 听225
9.35听听 听Bitam听听 听226
9.36听听 听Blue Medora听听 听227
9.37听听 听BlueData Software听听 听228
9.38听听 听BlueTalon听听 听229
9.39听听 听BMC Software听听 听230
9.40听听 听BOARD International听听 听231
9.41听听 听Booz Allen Hamilton听听 听232
9.42听听 听Boxever听听 听233
9.43听听 听CACI International听听 听234
9.44听听 听Cambridge Semantics听听 听235
9.45听听 听Capgemini听听 听236
9.46听听 听Cazena听听 听237
9.47听听 听Centrifuge Systems听听 听238
9.48听听 听CenturyLink听听 听239
9.49听听 听Chartio听听 听240
9.50听听 听Cisco Systems听听 听241
9.51听听 听Civis Analytics听听 听242
9.52听听 听ClearStory Data听听 听243
9.53听听 听Cloudability听听 听244
9.54听听 听Cloudera听听 听245
9.55听听 听Cloudian听听 听246
9.56听听 听Clustrix听听 听247
9.57听听 听CognitiveScale听听 听248
9.58听听 听Collibra听听 听249
9.59听听 听Concurrent Technology/Vecima Networks听听 听250
9.60听听 听Confluent听听 听251
9.61听听 听Contexti听听 听252
9.62听听 听Couchbase听听 听253
9.63听听 听Crate.io听听 听254
9.64听听 听Cray听听 听255
9.65听听 听Databricks听听 听256
9.66听听 听Dataiku听听 听257
9.67听听 听Datalytyx听听 听258
9.68听听 听Datameer听听 听259
9.69听听 听DataRobot听听 听260
9.70听听 听DataStax听听 听261
9.71听听 听Datawatch Corporation听听 听262
9.72听听 听DDN (DataDirect Networks)听听 听263
9.73听听 听Decisyon听听 听264
9.74听听 听Dell Technologies听听 听265
9.75听听 听Deloitte听听 听266
9.76听听 听Demandbase听听 听267
9.77听听 听Denodo Technologies听听 听268
9.78听听 听Dianomic Systems听听 听269
9.79听听 听Digital Reasoning Systems听听 听270
9.80听听 听Dimensional Insight听听 听271
9.81听听 听Dolphin Enterprise Solutions Corporation/Hanse Orga Group听听 听272
9.82听听 听Domino Data Lab听听 听273
9.83听听 听Domo听听 听274
9.84听听 听Dremio听听 听275
9.85听听 听DriveScale听听 听276
9.86听听 听Druva听听 听277
9.87听听 听Dundas Data Visualization听听 听278
9.88听听 听DXC Technology听听 听279
9.89听听 听Elastic听听 听280
9.90听听 听Engineering Group (Engineering Ingegneria Informatica)听听 听281
9.91听听 听EnterpriseDB Corporation听听 听282
9.92听听 听eQ Technologic听听 听283
9.93听听 听Ericsson听听 听284
9.94听听 听Erwin听听 听285
9.95听听 听EV艑 (Big Cloud Analytics)听听 听286
9.96听听 听EXASOL听听 听287
9.97听听 听EXL (ExlService Holdings)听听 听288
9.98听听 听Facebook听听 听289
9.99听听 听FICO (Fair Isaac Corporation)听听 听290
9.100听听 听Figure Eight听听 听291
9.101听听 听FogHorn Systems听听 听292
9.102听听 听Fractal Analytics听听 听293
9.103听听 听Franz听听 听294
9.104听听 听Fujitsu听听 听295
9.105听听 听Fuzzy Logix听听 听297
9.106听听 听Gainsight听听 听298
9.107听听 听GE (General Electric)听听 听299
9.108听听 听Glassbeam听听 听300
9.109听听 听GoodData Corporation听听 听301
9.110听听 听Google/Alphabet听听 听302
9.111听听 听Grakn Labs听听 听304
9.112听听 听Greenwave Systems听听 听305
9.113听听 听GridGain Systems听听 听306
9.114听听 听H2O.ai听听 听307
9.115听听 听HarperDB听听 听308
9.116听听 听Hedvig听听 听309
9.117听听 听Hitachi Vantara听听 听310
9.118听听 听Hortonworks听听 听311
9.119听听 听HPE (Hewlett Packard Enterprise)听听 听312
9.120听听 听Huawei听听 听314
9.121听听 听HVR听听 听315
9.122听听 听HyperScience听听 听316
9.123听听 听HyTrust听听 听317
9.124听听 听IBM Corporation听听 听319
9.125听听 听iDashboards听听 听321
9.126听听 听IDERA听听 听322
9.127听听 听Ignite Technologies听听 听323
9.128听听 听Imanis Data听听 听325
9.129听听 听Impetus Technologies听听 听326
9.130听听 听Incorta听听 听327
9.131听听 听InetSoft Technology Corporation听听 听328
9.132听听 听InfluxData听听 听329
9.133听听 听Infogix听听 听330
9.134听听 听Infor/Birst听听 听331
9.135听听 听Informatica听听 听333
9.136听听 听Information Builders听听 听334
9.137听听 听Infosys听听 听335
9.138听听 听Infoworks听听 听336
9.139听听 听Insightsoftware.com听听 听337
9.140听听 听InsightSquared听听 听338
9.141听听 听Intel Corporation听听 听339
9.142听听 听Interana听听 听340
9.143听听 听InterSystems Corporation听听 听341
9.144听听 听Jedox听听 听342
9.145听听 听Jethro听听 听343
9.146听听 听Jinfonet Software听听 听344
9.147听听 听Juniper Networks听听 听345
9.148听听 听KALEAO听听 听346
9.149听听 听Keen IO听听 听347
9.150听听 听Keyrus听听 听348
9.151听听 听Kinetica听听 听349
9.152听听 听KNIME听听 听350
9.153听听 听Kognitio听听 听351
9.154听听 听Kyvos Insights听听 听352
9.155听听 听LeanXcale听听 听353
9.156听听 听Lexalytics听听 听354
9.157听听 听Lexmark International听听 听356
9.158听听 听Lightbend听听 听357
9.159听听 听Logi Analytics听听 听358
9.160听听 听Logical Clocks听听 听359
9.161听听 听Longview Solutions/Tidemark听听 听360
9.162听听 听Looker Data Sciences听听 听362
9.163听听 听LucidWorks听听 听363
9.164听听 听Luminoso Technologies听听 听364
9.165听听 听Maana听听 听365
9.166听听 听Manthan Software Services听听 听366
9.167听听 听MapD Technologies听听 听367
9.168听听 听MapR Technologies听听 听368
9.169听听 听MariaDB Corporation听听 听369
9.170听听 听MarkLogic Corporation听听 听370
9.171听听 听Mathworks听听 听371
9.172听听 听Melissa听听 听372
9.173听听 听MemSQL听听 听373
9.174听听 听Metric Insights听听 听374
9.175听听 听Microsoft Corporation听听 听375
9.176听听 听MicroStrategy听听 听377
9.177听听 听Minitab听听 听378
9.178听听 听MongoDB听听 听379
9.179听听 听Mu Sigma听听 听380
9.180听听 听NEC Corporation听听 听381
9.181听听 听Neo4j听听 听382
9.182听听 听NetApp听听 听383
9.183听听 听Nimbix听听 听384
9.184听听 听Nokia听听 听385
9.185听听 听NTT Data Corporation听听 听386
9.186听听 听Numerify听听 听387
9.187听听 听NuoDB听听 听388
9.188听听 听NVIDIA Corporation听听 听389
9.189听听 听Objectivity听听 听390
9.190听听 听Oblong Industries听听 听391
9.191听听 听OpenText Corporation听听 听392
9.192听听 听Opera Solutions听听 听394
9.193听听 听Optimal Plus听听 听395
9.194听听 听Oracle Corporation听听 听396
9.195听听 听Palantir Technologies听听 听399
9.196听听 听Panasonic Corporation/Arimo听听 听401
9.197听听 听Panorama Software听听 听402
9.198听听 听Paxata听听 听403
9.199听听 听Pepperdata听听 听404
9.200听听 听Phocas Software听听 听405
9.201听听 听Pivotal Software听听 听406
9.202听听 听Prognoz听听 听408
9.203听听 听Progress Software Corporation听听 听409
9.204听听 听Provalis Research听听 听410
9.205听听 听Pure Storage听听 听411
9.206听听 听PwC (PricewaterhouseCoopers International)听听 听412
9.207听听 听Pyramid Analytics听听 听413
9.208听听 听Qlik听听 听414
9.209听听 听Qrama/Tengu听听 听415
9.210听听 听Quantum Corporation听听 听416
9.211听听 听Qubole听听 听417
9.212听听 听Rackspace听听 听418
9.213听听 听Radius Intelligence听听 听419
9.214听听 听RapidMiner听听 听420
9.215听听 听Recorded Future听听 听421
9.216听听 听Red Hat听听 听422
9.217听听 听Redis Labs听听 听423
9.218听听 听RedPoint Global听听 听424
9.219听听 听Reltio听听 听425
9.220听听 听RStudio听听 听426
9.221听听 听Rubrik/Datos IO听听 听427
9.222听听 听Ryft听听 听428
9.223听听 听Sailthru听听 听429
9.224听听 听Salesforce.com听听 听430
9.225听听 听Salient Management Company听听 听431
9.226听听 听Samsung Group听听 听432
9.227听听 听SAP听听 听433
9.228听听 听SAS Institute听听 听434
9.229听听 听ScaleOut Software听听 听435
9.230听听 听Seagate Technology听听 听436
9.231听听 听Sinequa听听 听437
9.232听听 听SiSense听听 听438
9.233听听 听Sizmek听听 听439
9.234听听 听SnapLogic听听 听440
9.235听听 听Snowflake Computing听听 听441
9.236听听 听Software AG听听 听442
9.237听听 听Splice Machine听听 听443
9.238听听 听Splunk听听 听444
9.239听听 听Strategy Companion Corporation听听 听446
9.240听听 听Stratio听听 听447
9.241听听 听Streamlio听听 听448
9.242听听 听StreamSets听听 听449
9.243听听 听Striim听听 听450
9.244听听 听Sumo Logic听听 听451
9.245听听 听Supermicro (Super Micro Computer)听听 听452
9.246听听 听Syncsort听听 听453
9.247听听 听SynerScope听听 听455
9.248听听 听SYNTASA听听 听456
9.249听听 听Tableau Software听听 听457
9.250听听 听Talend听听 听458
9.251听听 听Tamr听听 听459
9.252听听 听TARGIT听听 听460
9.253听听 听TCS (Tata Consultancy Services)听听 听461
9.254听听 听Teradata Corporation听听 听462
9.255听听 听Thales/Guavus听听 听464
9.256听听 听ThoughtSpot听听 听465
9.257听听 听TIBCO Software听听 听466
9.258听听 听Toshiba Corporation听听 听468
9.259听听 听Transwarp听听 听469
9.260听听 听Trifacta听听 听470
9.261听听 听Unifi Software听听 听471
9.262听听 听Unravel Data听听 听472
9.263听听 听VANTIQ听听 听473
9.264听听 听VMware听听 听474
9.265听听 听VoltDB听听 听475
9.266听听 听WANdisco听听 听476
9.267听听 听Waterline Data听听 听477
9.268听听 听Western Digital Corporation听听 听478
9.269听听 听WhereScape听听 听479
9.270听听 听WiPro听听 听480
9.271听听 听Wolfram Research听听 听481
9.272听听 听Workday听听 听483
9.273听听 听Xplenty听听 听485
9.274听听 听Yellowfin BI听听 听486
9.275听听 听Yseop听听 听487
9.276听听 听Zendesk听听 听488
9.277听听 听Zoomdata听听 听489
9.278听听 听Zucchetti听听 听490
听听 听听听 听
10听听 听Chapter 10: Conclusion & Strategic Recommendations听听 听491
10.1听听 听Why is the 麻豆原创 Poised to Grow?听听 听491
10.2听听 听Geographic Outlook: Which Countries Offer the Highest Growth Potential?听听 听492
10.3听听 听Big Data is for Everyone听听 听492
10.4听听 听Evaluating the Business Value of Big Data for Insurers听听 听493
10.5听听 听Transforming Risk Management听听 听493
10.6听听 听Tackling Cyber Crime & Under-Insured Risks听听 听494
10.7听听 听Accelerating the Transition Towards Usage & Analytics-Based Insurance听听 听494
10.8听听 听Addressing Customer Expectations with Data-Driven Services听听 听495
10.9听听 听The Importance of AI (Artificial Intelligence) & Machine Learning听听 听495
10.10听听 听Impact of Blockchain on Big Data Processing听听 听496
10.11听听 听Adoption of Cloud Platforms to Address On-Premise System Limitations听听 听496
10.12听听 听Data Security & Privacy Concerns听听 听497
10.13听听 听Recommendations听听 听498
10.13.1听听 听Big Data Hardware, Software & Professional Services Providers听听 听498
10.13.2听听 听Insurance Industry Stakeholders听听 听499
听听 听听听 听
List of Figures听听 听听听 听
Figure 1: Hadoop Architecture听听 听37
Figure 2: Reactive vs. Proactive Analytics听听 听48
Figure 3: Distribution of Big Data Investments in the Insurance Industry, by Use Case: 2018 (%)听听 听55
Figure 4: Aegon's Use of Big Data & Advanced Analytics Across the Insurance Value Chain听听 听73
Figure 5: Key Elements of Generali's ASC (Analytics Solutions Center)听听 听91
Figure 6: Progressive Corporation's Use of Big Data for Auto Insurance听听 听94
Figure 7: Atidot's Big Data Platform for Life Insurers听听 听102
Figure 8: Cape Analytics' Property Intelligence Database听听 听104
Figure 9: Applications of Quest Marine Across the Insurance Value Chain听听 听107
Figure 10: JMDC's Services for Insurance Companies听听 听108
Figure 11: Metromile's Pay-Per-Mile Auto Insurance Program听听 听110
Figure 12: Munich Re's Data Management Infrastructure听听 听113
Figure 13: Big Data Roadmap in the Insurance Industry: 2018 鈥� 2030听听 听117
Figure 14: Big Data Value Chain in the Insurance Industry听听 听120
Figure 15: Key Aspects of Big Data Standardization听听 听131
Figure 16: Global Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听144
Figure 17: Global Big Data Revenue in the Insurance Industry, by Hardware, Software & Professional Services: 2018 鈥� 2030 ($ Million)听听 听145
Figure 18: Global Big Data Revenue in the Insurance Industry, by Submarket: 2018 鈥� 2030 ($ Million)听听 听146
Figure 19: Global Big Data Storage and Compute Infrastructure Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听147
Figure 20: Global Big Data Networking Infrastructure Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听147
Figure 21: Global Big Data Hadoop & Infrastructure Software Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听148
Figure 22: Global Big Data SQL Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听148
Figure 23: Global Big Data NoSQL Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听149
Figure 24: Global Big Data Analytic Platforms & Applications Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听149
Figure 25: Global Big Data Cloud Platforms Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听150
Figure 26: Global Big Data Professional Services Submarket Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听150
Figure 27: Global Big Data Revenue in the Insurance Industry, by Application Area: 2018 鈥� 2030 ($ Million)听听 听151
Figure 28: Global Big Data Revenue in Auto Insurance: 2018 鈥� 2030 ($ Million)听听 听152
Figure 29: Global Big Data Revenue in Property & Casualty Insurance: 2018 鈥� 2030 ($ Million)听听 听152
Figure 30: Global Big Data Revenue in Life Insurance: 2018 鈥� 2030 ($ Million)听听 听153
Figure 31: Global Big Data Revenue in Health Insurance: 2018 鈥� 2030 ($ Million)听听 听153
Figure 32: Global Big Data Revenue in Multi-line Insurance: 2018 鈥� 2030 ($ Million)听听 听154
Figure 33: Global Big Data Revenue in Other Forms of Insurance: 2018 鈥� 2030 ($ Million)听听 听154
Figure 34: Global Big Data Revenue in Reinsurance: 2018 鈥� 2030 ($ Million)听听 听155
Figure 35: Global Big Data Revenue in Insurance Broking: 2018 鈥� 2030 ($ Million)听听 听155
Figure 36: Global Big Data Revenue in the Insurance Industry, by Use Case: 2018 鈥� 2030 ($ Million)听听 听156
Figure 37: Global Big Data Revenue in Personalized & Targeted 麻豆原创ing for Insurance Services: 2018 鈥� 2030 ($ Million)听听 听157
Figure 38: Global Big Data Revenue in Customer Service & Experience for Insurance Services: 2018 鈥� 2030 ($ Million)听听 听157
Figure 39: Global Big Data Revenue in Product Innovation & Development for Insurance Services: 2018 鈥� 2030 ($ Million)听听 听158
Figure 40: Global Big Data Revenue in Risk Awareness & Control for Insurance Services: 2018 鈥� 2030 ($ Million)听听 听158
Figure 41: Global Big Data Revenue in Policy Administration, Pricing & Underwriting: 2018 鈥� 2030 ($ Million)听听 听159
Figure 42: Global Big Data Revenue in Claims Processing & Management: 2018 鈥� 2030 ($ Million)听听 听159
Figure 43: Global Big Data Revenue in Fraud Detection & Prevention for Insurance Services: 2018 鈥� 2030 ($ Million)听听 听160
Figure 44: Global Big Data Revenue in Usage & Analytics-Based Insurance: 2018 鈥� 2030 ($ Million)听听 听160
Figure 45: Global Big Data Revenue in Other Use Cases for Insurance Services: 2018 鈥� 2030 ($ Million)听听 听161
Figure 46: Big Data Revenue in the Insurance Industry, by Region: 2018 鈥� 2030 ($ Million)听听 听162
Figure 47: Asia Pacific Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听163
Figure 48: Asia Pacific Big Data Revenue in the Insurance Industry, by Country: 2018 鈥� 2030 ($ Million)听听 听163
Figure 49: Australia Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听164
Figure 50: China Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听164
Figure 51: India Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听165
Figure 52: Indonesia Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听165
Figure 53: Japan Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听166
Figure 54: Malaysia Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听166
Figure 55: Pakistan Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听167
Figure 56: Philippines Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听167
Figure 57: Singapore Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听168
Figure 58: South Korea Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听168
Figure 59: Taiwan Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听169
Figure 60: Thailand Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听169
Figure 61: Rest of Asia Pacific Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听170
Figure 62: Eastern Europe Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听171
Figure 63: Eastern Europe Big Data Revenue in the Insurance Industry, by Country: 2018 鈥� 2030 ($ Million)听听 听171
Figure 64: Czech Republic Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听172
Figure 65: Poland Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听172
Figure 66: Russia Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听173
Figure 67: Rest of Eastern Europe Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听173
Figure 68: Latin & Central America Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听174
Figure 69: Latin & Central America Big Data Revenue in the Insurance Industry, by Country: 2018 鈥� 2030 ($ Million)听听 听174
Figure 70: Argentina Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听175
Figure 71: Brazil Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听175
Figure 72: Mexico Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听176
Figure 73: Rest of Latin & Central America Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听176
Figure 74: Middle East & Africa Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听177
Figure 75: Middle East & Africa Big Data Revenue in the Insurance Industry, by Country: 2018 鈥� 2030 ($ Million)听听 听177
Figure 76: Israel Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听178
Figure 77: Qatar Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听178
Figure 78: Saudi Arabia Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听179
Figure 79: South Africa Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听179
Figure 80: UAE Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听180
Figure 81: Rest of the Middle East & Africa Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听180
Figure 82: North America Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听181
Figure 83: North America Big Data Revenue in the Insurance Industry, by Country: 2018 鈥� 2030 ($ Million)听听 听181
Figure 84: Canada Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听182
Figure 85: USA Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听182
Figure 86: Western Europe Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听183
Figure 87: Western Europe Big Data Revenue in the Insurance Industry, by Country: 2018 鈥� 2030 ($ Million)听听 听183
Figure 88: Denmark Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听184
Figure 89: Finland Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听184
Figure 90: France Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听185
Figure 91: Germany Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听185
Figure 92: Italy Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听186
Figure 93: Netherlands Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听186
Figure 94: Norway Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听187
Figure 95: Spain Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听187
Figure 96: Sweden Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听188
Figure 97: UK Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听188
Figure 98: Rest of Western Europe Big Data Revenue in the Insurance Industry: 2018 鈥� 2030 ($ Million)听听 听189
Companies Mentioned: 
  1. 1010data听听 听
  2. Absolutdata听听 听
  3. Accenture听听 听
  4. Actian Corporation听听 听
  5. Adaptive Insights听听 听
  6. Adobe Systems听听 听
  7. Advizor Solutions听听 听
  8. Aegon听听 听
  9. AeroSpike听听 听
  10. Aetna听听 听
  11. AFS Technologies听听 听
  12. Alation听听 听
  13. Algorithmia听听 听
  14. Allianz Group听听 听
  15. Allstate Corporation听听 听
  16. Alluxio听听 听
  17. Alphabet听听 听
  18. ALTEN听听 听
  19. Alteryx听听 听
  20. AMD (Advanced Micro Devices)听听 听
  21. Anaconda听听 听
  22. Apixio听听 听
  23. Arcadia Data听听 听
  24. Arimo听听 听
  25. Arity听听 听
  26. ARM听听 听
  27. ASF (Apache Software Foundation)听听 听
  28. Atidot听听 听
  29. AtScale听听 听
  30. Attivio听听 听
  31. Attunity听听 听
  32. Automated Insights听听 听
  33. AVORA听听 听
  34. AWS (Amazon Web Services)听听 听
  35. AXA听听 听
  36. Axiomatics听听 听
  37. Ayasdi听听 听
  38. BackOffice Associates听听 听
  39. Basho Technologies听听 听
  40. BCG (Boston Consulting Group)听听 听
  41. Bedrock Data听听 听
  42. BetterWorks听听 听
  43. Big Panda听听 听
  44. BigML听听 听
  45. Birst听听 听
  46. Bitam听听 听
  47. Blue Medora听听 听
  48. BlueData Software听听 听
  49. BlueTalon听听 听
  50. BMC Software听听 听
  51. BOARD International听听 听
  52. Booz Allen Hamilton听听 听
  53. Boxever听听 听
  54. CACI International听听 听
  55. Cambridge Semantics听听 听
  56. Cape Analytics听听 听
  57. Capgemini听听 听
  58. Cazena听听 听
  59. Centrifuge Systems听听 听
  60. CenturyLink听听 听
  61. Chartio听听 听
  62. China Life Insurance Company听听 听
  63. Cigna听听 听
  64. Cisco Systems听听 听
  65. Civis Analytics听听 听
  66. ClearStory Data听听 听
  67. Cloudability听听 听
  68. Cloudera听听 听
  69. Cloudian听听 听
  70. Clustrix听听 听
  71. CognitiveScale听听 听
  72. Collibra听听 听
  73. Concirrus听听 听
  74. Concurrent Technology听听 听
  75. Confluent听听 听
  76. Contexti听听 听
  77. Couchbase听听 听
  78. Crate.io听听 听
  79. Cray听听 听
  80. CSA (Cloud Security Alliance)听听 听
  81. CSCC (Cloud Standards Customer Council)听听 听
  82. Dai-ichi Life Holdings听听 听
  83. Databricks听听 听
  84. Dataiku听听 听
  85. Datalytyx听听 听
  86. Datameer听听 听
  87. DataRobot听听 听
  88. DataStax听听 听
  89. Datawatch Corporation听听 听
  90. Datos IO听听 听
  91. DDN (DataDirect Networks)听听 听
  92. Decisyon听听 听
  93. Dell Technologies听听 听
  94. Deloitte听听 听
  95. Demandbase听听 听
  96. Denodo Technologies听听 听
  97. Dianomic Systems听听 听
  98. Digital Reasoning Systems听听 听
  99. Dimensional Insight听听 听
  100. DMG听听(Data Mining Group)听听 听
  101. Dolphin Enterprise Solutions Corporation听听 听
  102. Domino Data Lab听听 听
  103. Domo听听 听
  104. Dremio听听 听
  105. DriveScale听听 听
  106. Druva听听 听
  107. Dundas Data Visualization听听 听
  108. DXC Technology听听 听
  109. Elastic听听 听
  110. Engineering Group (Engineering Ingegneria Informatica)听听 听
  111. EnterpriseDB Corporation听听 听
  112. eQ Technologic听听 听
  113. ERGO Group听听 听
  114. Ericsson听听 听
  115. Erwin听听 听
  116. EV艑 (Big Cloud Analytics)听听 听
  117. EXASOL听听 听
  118. EXL (ExlService Holdings)听听 听
  119. Facebook听听 听
  120. FICO (Fair Isaac Corporation)听听 听
  121. Figure Eight听听 听
  122. FogHorn Systems听听 听
  123. Fractal Analytics听听 听
  124. Franz听听 听
  125. Fujitsu听听 听
  126. Fuzzy Logix听听 听
  127. Gainsight听听 听
  128. GE (General Electric)听听 听
  129. Generali Group听听 听
  130. Glassbeam听听 听
  131. GNS Healthcare听听 听
  132. GoodData Corporation听听 听
  133. Google听听 听
  134. Grakn Labs听听 听
  135. Greenwave Systems听听 听
  136. GridGain Systems听听 听
  137. Guavus听听 听
  138. H2O.ai听听 听
  139. Hanse Orga Group听听 听
  140. HarperDB听听 听
  141. HCL Technologies听听 听
  142. Hedvig听听 听
  143. Hitachi Vantara听听 听
  144. Hortonworks听听 听
  145. HPE (Hewlett Packard Enterprise)听听 听
  146. Huawei听听 听
  147. HVR听听 听
  148. HyperScience听听 听
  149. HyTrust听听 听
  150. IBM Corporation听听 听
  151. iDashboards听听 听
  152. IDERA听听 听
  153. IEC (International Electrotechnical Commission)听听 听
  154. IEEE (Institute of Electrical and Electronics Engineers)听听 听
  155. Ignite Technologies听听 听
  156. Imanis Data听听 听
  157. Impetus Technologies听听 听
  158. INCITS (InterNational Committee for Information Technology Standards)听听 听
  159. Incorta听听 听
  160. InetSoft Technology Corporation听听 听
  161. InfluxData听听 听
  162. Infogix听听 听
  163. Infor听听 听
  164. Informatica听听 听
  165. Information Builders听听 听
  166. Infosys听听 听
  167. Infoworks听听 听
  168. Insightsoftware.com听听 听
  169. InsightSquared听听 听
  170. Intel Corporation听听 听
  171. Interana听听 听
  172. InterSystems Corporation听听 听
  173. ISO (International Organization for Standardization)听听 听
  174. ITU (International Telecommunication Union)听听 听
  175. Jedox听听 听
  176. Jethro听听 听
  177. Jinfonet Software听听 听
  178. JMDC Corporation听听 听
  179. Juniper Networks听听 听
  180. KALEAO听听 听
  181. Keen IO听听 听
  182. Kenko-Nenrei Shogaku Tanki Hoken听听 听
  183. Keyrus听听 听
  184. Kinetica听听 听
  185. KNIME听听 听
  186. Kognitio听听 听
  187. Kyvos Insights听听 听
  188. LeanXcale听听 听
  189. Lexalytics听听 听
  190. Lexmark International听听 听
  191. Lightbend听听 听
  192. Linux Foundation听听 听
  193. Logi Analytics听听 听
  194. Logical Clocks听听 听
  195. Longview Solutions听听 听
  196. Looker Data Sciences听听 听
  197. LucidWorks听听 听
  198. Luminoso Technologies听听 听
  199. Maana听听 听
  200. Manthan Software Services听听 听
  201. MapD Technologies听听 听
  202. MapR Technologies听听 听
  203. MariaDB Corporation听听 听
  204. MarkLogic Corporation听听 听
  205. Mathworks听听 听
  206. MEAG (Munich Ergo Asset Management)听听 听
  207. Melissa听听 听
  208. MemSQL听听 听
  209. Metric Insights听听 听
  210. MetroMile听听 听
  211. Microsoft Corporation听听 听
  212. MicroStrategy听听 听
  213. Minitab听听 听
  214. MongoDB听听 听
  215. Mu Sigma听听 听
  216. Munich Re听听 听
  217. NEC Corporation听听 听
  218. Neo First Life Insurance Company听听 听
  219. Neo4j听听 听
  220. NetApp听听 听
  221. Nimbix听听 听
  222. Nokia听听 听
  223. Noritsu Koki听听 听
  224. NTT Data Corporation听听 听
  225. Numerify听听 听
  226. NuoDB听听 听
  227. NVIDIA Corporation听听 听
  228. OASIS (Organization for the Advancement of Structured Information Standards)听听 听
  229. Objectivity听听 听
  230. Oblong Industries听听 听
  231. ODaF (Open Data Foundation)听听 听
  232. ODCA (Open Data Center Alliance)听听 听
  233. ODPi (Open Ecosystem of Big Data)听听 听
  234. OGC (Open Geospatial Consortium)听听 听
  235. OpenText Corporation听听 听
  236. Opera Solutions听听 听
  237. Optimal Plus听听 听
  238. Optum听听 听
  239. OptumLabs听听 听
  240. Oracle Corporation听听 听
  241. Oscar Health听听 听
  242. Palantir Technologies听听 听
  243. Panasonic Corporation听听 听
  244. Panorama Software听听 听
  245. Paxata听听 听
  246. Pepperdata听听 听
  247. Phocas Software听听 听
  248. Pivotal Software听听 听
  249. Prognoz听听 听
  250. Progress Software Corporation听听 听
  251. Progressive Corporation听听 听
  252. Provalis Research听听 听
  253. Pure Storage听听 听
  254. PwC (PricewaterhouseCoopers International)听听 听
  255. Pyramid Analytics听听 听
  256. Qlik听听 听
  257. Qrama/Tengu听听 听
  258. Quantum Corporation听听 听
  259. Qubole听听 听
  260. Rackspace听听 听
  261. Radius Intelligence听听 听
  262. RapidMiner听听 听
  263. Recorded Future听听 听
  264. Red Hat听听 听
  265. Redis Labs听听 听
  266. RedPoint Global听听 听
  267. Reltio听听 听
  268. RStudio听听 听
  269. Rubrik听听 听
  270. Ryft听听 听
  271. Sailthru听听 听
  272. Salesforce.com听听 听
  273. Salient Management Company听听 听
  274. Samsung Fire & Marine Insurance听听 听
  275. Samsung Group听听 听
  276. SAP听听 听
  277. SAS Institute听听 听
  278. ScaleOut Software听听 听
  279. Seagate Technology听听 听
  280. Sinequa听听 听
  281. SiSense听听 听
  282. Sizmek听听 听
  283. SnapLogic听听 听
  284. Snowflake Computing听听 听
  285. Software AG听听 听
  286. Splice Machine听听 听
  287. Splunk听听 听
  288. Strategy Companion Corporation听听 听
  289. Stratio听听 听
  290. Streamlio听听 听
  291. StreamSets听听 听
  292. Striim听听 听
  293. Sumo Logic听听 听
  294. Supermicro (Super Micro Computer)听听 听
  295. Syncsort听听 听
  296. SynerScope听听 听
  297. SYNTASA听听 听
  298. Tableau Software听听 听
  299. Talend听听 听
  300. Tamr听听 听
  301. TARGIT听听 听
  302. TCS (Tata Consultancy Services)听听 听
  303. Teradata Corporation听听 听
  304. Thales听听 听
  305. ThoughtSpot听听 听
  306. TIBCO Software听听 听
  307. Tidemark听听 听
  308. TM Forum听听 听
  309. Toshiba Corporation听听 听
  310. TPC (Transaction Processing Performance Council)听听 听
  311. Transwarp听听 听
  312. Trifacta听听 听
  313. U.S. NIST (National Institute of Standards and Technology)听听 听
  314. Unifi Software听听 听
  315. UnitedHealth Group听听 听
  316. Unravel Data听听 听
  317. VANTIQ听听 听
  318. Vecima Networks听听 听
  319. VMware听听 听
  320. VoltDB听听 听
  321. W3C (World Wide Web Consortium)听听 听
  322. WANdisco听听 听
  323. Waterline Data听听 听
  324. Western Digital Corporation听听 听
  325. WhereScape听听 听
  326. WiPro听听 听
  327. Wolfram Research听听 听
  328. Workday听听 听
  329. Xplenty听听 听
  330. Yellowfin BI听听 听
  331. Yseop听听 听
  332. Zendesk听听 听
  333. Zoomdata听听 听
  334. Zucchetti听听 听
  335. Zurich Insurance Group
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*If Applicable.

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