Summary
Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
According to APO Research, The global Data Analytics in Insurance market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Data Analytics in Insurance is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
Asia-Pacific market for Data Analytics in Insurance is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Data Analytics in Insurance is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
Europe market for Data Analytics in Insurance is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The major global companies of Data Analytics in Insurance include Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM and SAS, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Data Analytics in Insurance, market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Data Analytics in Insurance, also provides the revenue of main regions and countries. Of the upcoming market potential for Data Analytics in Insurance, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Data Analytics in Insurance revenue, market share and industry ranking of main manufacturers, data from 2019 to 2024. Identification of the major stakeholders in the global Data Analytics in Insurance market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Data Analytics in Insurance revenue, projected growth trends, production technology, application and end-user industry.
Data Analytics in Insurance segment by Company
Deloitte
Verisk Analytics
IBM
SAP AG
LexisNexis
PwC
Guidewire
RSM
SAS
Pegasystems
Majesco
Tableau
OpenText
Oracle
TIBCO Software
ReSource Pro
BOARD International
Vertafore
Qlik
Data Analytics in Insurance segment by Type
Service
Software
Data Analytics in Insurance segment by Application
Pricing Premiums
Prevent and Reduce Fraud, and Waste
Gain Customer Insight
Data Analytics in Insurance segment by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Data Analytics in Insurance market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Data Analytics in Insurance and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Data Analytics in Insurance.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Data Analytics in Insurance in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of Data Analytics in Insurance company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Data Analytics in Insurance revenue, gross margin, and recent development, etc.
Chapter 8: North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: Middle East, Africa, and Latin America type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
1 Market Overview
1.1 Product Definition
1.2 Data Analytics in Insurance Market by Type
1.2.1 Global Data Analytics in Insurance Market Size by Type, 2019 VS 2023 VS 2030
1.2.2 Service
1.2.3 Software
1.3 Data Analytics in Insurance Market by Application
1.3.1 Global Data Analytics in Insurance Market Size by Application, 2019 VS 2023 VS 2030
1.3.2 Pricing Premiums
1.3.3 Prevent and Reduce Fraud, and Waste
1.3.4 Gain Customer Insight
1.4 Assumptions and Limitations
1.5 Study Goals and Objectives
2 Data Analytics in Insurance Market Dynamics
2.1 Data Analytics in Insurance Industry Trends
2.2 Data Analytics in Insurance Industry Drivers
2.3 Data Analytics in Insurance Industry Opportunities and Challenges
2.4 Data Analytics in Insurance Industry Restraints
3 Global Growth Perspective
3.1 Global Data Analytics in Insurance Market Perspective (2019-2030)
3.2 Global Data Analytics in Insurance Growth Trends by Region
3.2.1 Global Data Analytics in Insurance Market Size by Region: 2019 VS 2023 VS 2030
3.2.2 Global Data Analytics in Insurance Market Size by Region (2019-2024)
3.2.3 Global Data Analytics in Insurance Market Size by Region (2025-2030)
4 Competitive Landscape by Players
4.1 Global Data Analytics in Insurance Revenue by Players
4.1.1 Global Data Analytics in Insurance Revenue by Players (2019-2024)
4.1.2 Global Data Analytics in Insurance Revenue Market Share by Players (2019-2024)
4.1.3 Global Data Analytics in Insurance Players Revenue Share Top 10 and Top 5 in 2023
4.2 Global Data Analytics in Insurance Key Players Ranking, 2022 VS 2023 VS 2024
4.3 Global Data Analytics in Insurance Key Players Headquarters & Area Served
4.4 Global Data Analytics in Insurance Players, Product Type & Application
4.5 Global Data Analytics in Insurance Players Commercialization Time
4.6 Market Competitive Analysis
4.6.1 Global Data Analytics in Insurance Market CR5 and HHI
4.6.2 Global Top 5 and 10 Data Analytics in Insurance Players Market Share by Revenue in 2023
4.6.3 2023 Data Analytics in Insurance Tier 1, Tier 2, and Tier 3
5 Data Analytics in Insurance Market Size by Type
5.1 Global Data Analytics in Insurance Revenue by Type (2019 VS 2023 VS 2030)
5.2 Global Data Analytics in Insurance Revenue by Type (2019-2030)
5.3 Global Data Analytics in Insurance Revenue Market Share by Type (2019-2030)
6 Data Analytics in Insurance Market Size by Application
6.1 Global Data Analytics in Insurance Revenue by Application (2019 VS 2023 VS 2030)
6.2 Global Data Analytics in Insurance Revenue by Application (2019-2030)
6.3 Global Data Analytics in Insurance Revenue Market Share by Application (2019-2030)
7 Company Profiles
7.1 Deloitte
7.1.1 Deloitte Comapny Information
7.1.2 Deloitte Business Overview
7.1.3 Deloitte Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.1.4 Deloitte Data Analytics in Insurance Product Portfolio
7.1.5 Deloitte Recent Developments
7.2 Verisk Analytics
7.2.1 Verisk Analytics Comapny Information
7.2.2 Verisk Analytics Business Overview
7.2.3 Verisk Analytics Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.2.4 Verisk Analytics Data Analytics in Insurance Product Portfolio
7.2.5 Verisk Analytics Recent Developments
7.3 IBM
7.3.1 IBM Comapny Information
7.3.2 IBM Business Overview
7.3.3 IBM Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.3.4 IBM Data Analytics in Insurance Product Portfolio
7.3.5 IBM Recent Developments
7.4 SAP AG
7.4.1 SAP AG Comapny Information
7.4.2 SAP AG Business Overview
7.4.3 SAP AG Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.4.4 SAP AG Data Analytics in Insurance Product Portfolio
7.4.5 SAP AG Recent Developments
7.5 LexisNexis
7.5.1 LexisNexis Comapny Information
7.5.2 LexisNexis Business Overview
7.5.3 LexisNexis Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.5.4 LexisNexis Data Analytics in Insurance Product Portfolio
7.5.5 LexisNexis Recent Developments
7.6 PwC
7.6.1 PwC Comapny Information
7.6.2 PwC Business Overview
7.6.3 PwC Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.6.4 PwC Data Analytics in Insurance Product Portfolio
7.6.5 PwC Recent Developments
7.7 Guidewire
7.7.1 Guidewire Comapny Information
7.7.2 Guidewire Business Overview
7.7.3 Guidewire Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.7.4 Guidewire Data Analytics in Insurance Product Portfolio
7.7.5 Guidewire Recent Developments
7.8 RSM
7.8.1 RSM Comapny Information
7.8.2 RSM Business Overview
7.8.3 RSM Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.8.4 RSM Data Analytics in Insurance Product Portfolio
7.8.5 RSM Recent Developments
7.9 SAS
7.9.1 SAS Comapny Information
7.9.2 SAS Business Overview
7.9.3 SAS Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.9.4 SAS Data Analytics in Insurance Product Portfolio
7.9.5 SAS Recent Developments
7.10 Pegasystems
7.10.1 Pegasystems Comapny Information
7.10.2 Pegasystems Business Overview
7.10.3 Pegasystems Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.10.4 Pegasystems Data Analytics in Insurance Product Portfolio
7.10.5 Pegasystems Recent Developments
7.11 Majesco
7.11.1 Majesco Comapny Information
7.11.2 Majesco Business Overview
7.11.3 Majesco Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.11.4 Majesco Data Analytics in Insurance Product Portfolio
7.11.5 Majesco Recent Developments
7.12 Tableau
7.12.1 Tableau Comapny Information
7.12.2 Tableau Business Overview
7.12.3 Tableau Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.12.4 Tableau Data Analytics in Insurance Product Portfolio
7.12.5 Tableau Recent Developments
7.13 OpenText
7.13.1 OpenText Comapny Information
7.13.2 OpenText Business Overview
7.13.3 OpenText Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.13.4 OpenText Data Analytics in Insurance Product Portfolio
7.13.5 OpenText Recent Developments
7.14 Oracle
7.14.1 Oracle Comapny Information
7.14.2 Oracle Business Overview
7.14.3 Oracle Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.14.4 Oracle Data Analytics in Insurance Product Portfolio
7.14.5 Oracle Recent Developments
7.15 TIBCO Software
7.15.1 TIBCO Software Comapny Information
7.15.2 TIBCO Software Business Overview
7.15.3 TIBCO Software Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.15.4 TIBCO Software Data Analytics in Insurance Product Portfolio
7.15.5 TIBCO Software Recent Developments
7.16 ReSource Pro
7.16.1 ReSource Pro Comapny Information
7.16.2 ReSource Pro Business Overview
7.16.3 ReSource Pro Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.16.4 ReSource Pro Data Analytics in Insurance Product Portfolio
7.16.5 ReSource Pro Recent Developments
7.17 BOARD International
7.17.1 BOARD International Comapny Information
7.17.2 BOARD International Business Overview
7.17.3 BOARD International Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.17.4 BOARD International Data Analytics in Insurance Product Portfolio
7.17.5 BOARD International Recent Developments
7.18 Vertafore
7.18.1 Vertafore Comapny Information
7.18.2 Vertafore Business Overview
7.18.3 Vertafore Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.18.4 Vertafore Data Analytics in Insurance Product Portfolio
7.18.5 Vertafore Recent Developments
7.19 Qlik
7.19.1 Qlik Comapny Information
7.19.2 Qlik Business Overview
7.19.3 Qlik Data Analytics in Insurance Revenue and Gross Margin (2019-2024)
7.19.4 Qlik Data Analytics in Insurance Product Portfolio
7.19.5 Qlik Recent Developments
8 North America
8.1 North America Data Analytics in Insurance Revenue (2019-2030)
8.2 North America Data Analytics in Insurance Revenue by Type (2019-2030)
8.2.1 North America Data Analytics in Insurance Revenue by Type (2019-2024)
8.2.2 North America Data Analytics in Insurance Revenue by Type (2025-2030)
8.3 North America Data Analytics in Insurance Revenue Share by Type (2019-2030)
8.4 North America Data Analytics in Insurance Revenue by Application (2019-2030)
8.4.1 North America Data Analytics in Insurance Revenue by Application (2019-2024)
8.4.2 North America Data Analytics in Insurance Revenue by Application (2025-2030)
8.5 North America Data Analytics in Insurance Revenue Share by Application (2019-2030)
8.6 North America Data Analytics in Insurance Revenue by Country
8.6.1 North America Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030)
8.6.2 North America Data Analytics in Insurance Revenue by Country (2019-2024)
8.6.3 North America Data Analytics in Insurance Revenue by Country (2025-2030)
8.6.4 United States
8.6.5 Canada
9 Europe
9.1 Europe Data Analytics in Insurance Revenue (2019-2030)
9.2 Europe Data Analytics in Insurance Revenue by Type (2019-2030)
9.2.1 Europe Data Analytics in Insurance Revenue by Type (2019-2024)
9.2.2 Europe Data Analytics in Insurance Revenue by Type (2025-2030)
9.3 Europe Data Analytics in Insurance Revenue Share by Type (2019-2030)
9.4 Europe Data Analytics in Insurance Revenue by Application (2019-2030)
9.4.1 Europe Data Analytics in Insurance Revenue by Application (2019-2024)
9.4.2 Europe Data Analytics in Insurance Revenue by Application (2025-2030)
9.5 Europe Data Analytics in Insurance Revenue Share by Application (2019-2030)
9.6 Europe Data Analytics in Insurance Revenue by Country
9.6.1 Europe Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030)
9.6.2 Europe Data Analytics in Insurance Revenue by Country (2019-2024)
9.6.3 Europe Data Analytics in Insurance Revenue by Country (2025-2030)
9.6.4 Germany
9.6.5 France
9.6.6 U.K.
9.6.7 Italy
9.6.8 Russia
10 China
10.1 China Data Analytics in Insurance Revenue (2019-2030)
10.2 China Data Analytics in Insurance Revenue by Type (2019-2030)
10.2.1 China Data Analytics in Insurance Revenue by Type (2019-2024)
10.2.2 China Data Analytics in Insurance Revenue by Type (2025-2030)
10.3 China Data Analytics in Insurance Revenue Share by Type (2019-2030)
10.4 China Data Analytics in Insurance Revenue by Application (2019-2030)
10.4.1 China Data Analytics in Insurance Revenue by Application (2019-2024)
10.4.2 China Data Analytics in Insurance Revenue by Application (2025-2030)
10.5 China Data Analytics in Insurance Revenue Share by Application (2019-2030)
11 Asia (Excluding China)
11.1 Asia Data Analytics in Insurance Revenue (2019-2030)
11.2 Asia Data Analytics in Insurance Revenue by Type (2019-2030)
11.2.1 Asia Data Analytics in Insurance Revenue by Type (2019-2024)
11.2.2 Asia Data Analytics in Insurance Revenue by Type (2025-2030)
11.3 Asia Data Analytics in Insurance Revenue Share by Type (2019-2030)
11.4 Asia Data Analytics in Insurance Revenue by Application (2019-2030)
11.4.1 Asia Data Analytics in Insurance Revenue by Application (2019-2024)
11.4.2 Asia Data Analytics in Insurance Revenue by Application (2025-2030)
11.5 Asia Data Analytics in Insurance Revenue Share by Application (2019-2030)
11.6 Asia Data Analytics in Insurance Revenue by Country
11.6.1 Asia Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030)
11.6.2 Asia Data Analytics in Insurance Revenue by Country (2019-2024)
11.6.3 Asia Data Analytics in Insurance Revenue by Country (2025-2030)
11.6.4 Japan
11.6.5 South Korea
11.6.6 India
11.6.7 Australia
11.6.8 China Taiwan
11.6.9 Southeast Asia
12 Middle East, Africa, Latin America
12.1 MEALA Data Analytics in Insurance Revenue (2019-2030)
12.2 MEALA Data Analytics in Insurance Revenue by Type (2019-2030)
12.2.1 MEALA Data Analytics in Insurance Revenue by Type (2019-2024)
12.2.2 MEALA Data Analytics in Insurance Revenue by Type (2025-2030)
12.3 MEALA Data Analytics in Insurance Revenue Share by Type (2019-2030)
12.4 MEALA Data Analytics in Insurance Revenue by Application (2019-2030)
12.4.1 MEALA Data Analytics in Insurance Revenue by Application (2019-2024)
12.4.2 MEALA Data Analytics in Insurance Revenue by Application (2025-2030)
12.5 MEALA Data Analytics in Insurance Revenue Share by Application (2019-2030)
12.6 MEALA Data Analytics in Insurance Revenue by Country
12.6.1 MEALA Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030)
12.6.2 MEALA Data Analytics in Insurance Revenue by Country (2019-2024)
12.6.3 MEALA Data Analytics in Insurance Revenue by Country (2025-2030)
12.6.4 Mexico
12.6.5 Brazil
12.6.6 Israel
12.6.7 Argentina
12.6.8 Colombia
12.6.9 Turkey
12.6.10 Saudi Arabia
12.6.11 UAE
13 Concluding Insights
14 Appendix
14.1 Reasons for Doing This Study
14.2 Research Methodology
14.3 Research Process
14.4 Authors List of This Report
14.5 Data Source
14.5.1 Secondary Sources
14.5.2 Primary Sources
14.6 Disclaimer
List of Tables
Table 1. Global Data Analytics in Insurance Market Size Growth Rate by Type (US$ Million), 2019 VS 2023 VS 2030
Table 1. Service Major Manufacturers
Table 2. Software Major Manufacturers
Table 3. Global Data Analytics in Insurance Market Size Growth Rate by Application (US$ Million), 2019 VS 2023 VS 2030
Table 4. Pricing Premiums Major Manufacturers
Table 5. Prevent and Reduce Fraud, and Waste Major Manufacturers
Table 6. Gain Customer Insight Major Manufacturers
Table 7. Data Analytics in Insurance Industry Trends
Table 8. Data Analytics in Insurance Industry Drivers
Table 9. Data Analytics in Insurance Industry Opportunities and Challenges
Table 10. Data Analytics in Insurance Industry Restraints
Table 11. Global Data Analytics in Insurance Market Size Growth Rate (CAGR) by Region (US$ Million): 2019 VS 2023 VS 2030
Table 12. Global Data Analytics in Insurance Market Size by Region (2019-2024) & (US$ Million)
Table 13. Global Data Analytics in Insurance Market Share by Region (2019-2024)
Table 14. Global Data Analytics in Insurance Market Size by Region (2025-2030) & (US$ Million)
Table 15. Global Data Analytics in Insurance Market Share by Region (2025-2030)
Table 16. Global Data Analytics in Insurance Revenue by Players (US$ Million) & (2019-2024)
Table 17. Global Data Analytics in Insurance Revenue Market Share by Players (2019-2024)
Table 18. Global Data Analytics in Insurance Key Players Ranking, 2022 VS 2023 VS 2024
Table 19. Global Data Analytics in Insurance Key Players Headquarters & Area Served
Table 20. Global Data Analytics in Insurance Players, Product Type & Application
Table 21. Global Data Analytics in Insurance Players Commercialization Time
Table 22. Global Players Market Concentration Ratio (CR5 and HHI)
Table 23. Global Data Analytics in Insurance by Players Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue of 2023)
Table 24. Global Data Analytics in Insurance Revenue by Type 2019 VS 2023 VS 2030 (US$ Million)
Table 25. Global Data Analytics in Insurance Revenue by Type (2019-2024) & (US$ Million)
Table 26. Global Data Analytics in Insurance Revenue by Type (2025-2030) & (US$ Million)
Table 27. Global Data Analytics in Insurance Revenue Market Share by Type (2019-2024) & (US$ Million)
Table 28. Global Data Analytics in Insurance Revenue Market Share by Type (2025-2030) & (US$ Million)
Table 29. Global Data Analytics in Insurance Revenue by Application 2019 VS 2023 VS 2030 (US$ Million)
Table 30. Global Data Analytics in Insurance Revenue by Application (2019-2024) & (US$ Million)
Table 31. Global Data Analytics in Insurance Revenue by Application (2025-2030) & (US$ Million)
Table 32. Global Data Analytics in Insurance Revenue Market Share by Application (2019-2024) & (US$ Million)
Table 33. Global Data Analytics in Insurance Revenue Market Share by Application (2025-2030) & (US$ Million)
Table 34. Deloitte Company Information
Table 35. Deloitte Business Overview
Table 36. Deloitte Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 37. Deloitte Data Analytics in Insurance Product Portfolio
Table 38. Deloitte Recent Development
Table 39. Verisk Analytics Company Information
Table 40. Verisk Analytics Business Overview
Table 41. Verisk Analytics Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 42. Verisk Analytics Data Analytics in Insurance Product Portfolio
Table 43. Verisk Analytics Recent Development
Table 44. IBM Company Information
Table 45. IBM Business Overview
Table 46. IBM Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 47. IBM Data Analytics in Insurance Product Portfolio
Table 48. IBM Recent Development
Table 49. SAP AG Company Information
Table 50. SAP AG Business Overview
Table 51. SAP AG Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 52. SAP AG Data Analytics in Insurance Product Portfolio
Table 53. SAP AG Recent Development
Table 54. LexisNexis Company Information
Table 55. LexisNexis Business Overview
Table 56. LexisNexis Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 57. LexisNexis Data Analytics in Insurance Product Portfolio
Table 58. LexisNexis Recent Development
Table 59. PwC Company Information
Table 60. PwC Business Overview
Table 61. PwC Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 62. PwC Data Analytics in Insurance Product Portfolio
Table 63. PwC Recent Development
Table 64. Guidewire Company Information
Table 65. Guidewire Business Overview
Table 66. Guidewire Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 67. Guidewire Data Analytics in Insurance Product Portfolio
Table 68. Guidewire Recent Development
Table 69. RSM Company Information
Table 70. RSM Business Overview
Table 71. RSM Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 72. RSM Data Analytics in Insurance Product Portfolio
Table 73. RSM Recent Development
Table 74. SAS Company Information
Table 75. SAS Business Overview
Table 76. SAS Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 77. SAS Data Analytics in Insurance Product Portfolio
Table 78. SAS Recent Development
Table 79. Pegasystems Company Information
Table 80. Pegasystems Business Overview
Table 81. Pegasystems Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 82. Pegasystems Data Analytics in Insurance Product Portfolio
Table 83. Pegasystems Recent Development
Table 84. Majesco Company Information
Table 85. Majesco Business Overview
Table 86. Majesco Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 87. Majesco Data Analytics in Insurance Product Portfolio
Table 88. Majesco Recent Development
Table 89. Tableau Company Information
Table 90. Tableau Business Overview
Table 91. Tableau Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 92. Tableau Data Analytics in Insurance Product Portfolio
Table 93. Tableau Recent Development
Table 94. OpenText Company Information
Table 95. OpenText Business Overview
Table 96. OpenText Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 97. OpenText Data Analytics in Insurance Product Portfolio
Table 98. OpenText Recent Development
Table 99. Oracle Company Information
Table 100. Oracle Business Overview
Table 101. Oracle Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 102. Oracle Data Analytics in Insurance Product Portfolio
Table 103. Oracle Recent Development
Table 104. TIBCO Software Company Information
Table 105. TIBCO Software Business Overview
Table 106. TIBCO Software Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 107. TIBCO Software Data Analytics in Insurance Product Portfolio
Table 108. TIBCO Software Recent Development
Table 109. ReSource Pro Company Information
Table 110. ReSource Pro Business Overview
Table 111. ReSource Pro Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 112. ReSource Pro Data Analytics in Insurance Product Portfolio
Table 113. ReSource Pro Recent Development
Table 114. BOARD International Company Information
Table 115. BOARD International Business Overview
Table 116. BOARD International Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 117. BOARD International Data Analytics in Insurance Product Portfolio
Table 118. BOARD International Recent Development
Table 119. Vertafore Company Information
Table 120. Vertafore Business Overview
Table 121. Vertafore Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 122. Vertafore Data Analytics in Insurance Product Portfolio
Table 123. Vertafore Recent Development
Table 124. Qlik Company Information
Table 125. Qlik Business Overview
Table 126. Qlik Data Analytics in Insurance Sales (K Units), Revenue (US$ Million), Price (US$/Unit) and Gross Margin (2019-2024)
Table 127. Qlik Data Analytics in Insurance Product Portfolio
Table 128. Qlik Recent Development
Table 129. North America Data Analytics in Insurance Revenue by Type (2019-2024) & (US$ Million)
Table 130. North America Data Analytics in Insurance Revenue by Application (2019-2024) & (US$ Million)
Table 131. North America Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 132. North America Data Analytics in Insurance Revenue by Country (2019-2024) & (US$ Million)
Table 133. North America Data Analytics in Insurance Revenue by Country (2025-2030) & (US$ Million)
Table 134. Europe Data Analytics in Insurance Revenue by Type (2019-2024) & (US$ Million)
Table 135. Europe Data Analytics in Insurance Revenue by Application (2019-2024) & (US$ Million)
Table 136. Europe Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 137. Europe Data Analytics in Insurance Revenue by Country (2019-2024) & (US$ Million)
Table 138. Europe Data Analytics in Insurance Revenue by Country (2025-2030) & (US$ Million)
Table 139. China Data Analytics in Insurance Revenue by Type (2019-2024) & (US$ Million)
Table 140. China Data Analytics in Insurance Revenue by Application (2019-2024) & (US$ Million)
Table 141. Asia Data Analytics in Insurance Revenue by Type (2019-2024) & (US$ Million)
Table 142. Asia Data Analytics in Insurance Revenue by Application (2019-2024) & (US$ Million)
Table 143. Asia Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 144. Asia Data Analytics in Insurance Revenue by Country (2019-2024) & (US$ Million)
Table 145. Asia Data Analytics in Insurance Revenue by Country (2025-2030) & (US$ Million)
Table 146. MEALA Data Analytics in Insurance Revenue by Type (2019-2024) & (US$ Million)
Table 147. MEALA Data Analytics in Insurance Revenue by Application (2019-2024) & (US$ Million)
Table 148. MEALA Data Analytics in Insurance Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 149. MEALA Data Analytics in Insurance Revenue by Country (2019-2024) & (US$ Million)
Table 150. MEALA Data Analytics in Insurance Revenue by Country (2025-2030) & (US$ Million)
Table 151. Research Programs/Design for This Report
Table 152. Authors List of This Report
Table 153. Secondary Sources
Table 154. Primary Sources
List of Figures
Figure 1. Data Analytics in Insurance Product Picture
Figure 2. Global Data Analytics in Insurance Market Size Growth Rate by Type (US$ Million), 2019 VS 2023 VS 2030
Figure 3. Global Data Analytics in Insurance Market Size Share 2019 VS 2023 VS 2030
Figure 4. Service Picture
Figure 5. Software Picture
Figure 6. Global Data Analytics in Insurance Market Size Growth Rate by Application (US$ Million), 2019 VS 2023 VS 2030
Figure 7. Global Data Analytics in Insurance Market Size Share 2019 VS 2023 VS 2030
Figure 8. Pricing Premiums Picture
Figure 9. Prevent and Reduce Fraud, and Waste Picture
Figure 10. Gain Customer Insight Picture
Figure 11. Global Data Analytics in Insurance Market Size (US$ Million) & (2019-2030)
Figure 12. Global Data Analytics in Insurance Market Size, (US$ Million), 2019 VS 2023 VS 2030
Figure 13. Global Data Analytics in Insurance Market Share by Region: 2019 VS 2023 VS 2030
Figure 14. Global Data Analytics in Insurance Players Revenue Share Top 10 and Top 5 in 2023
Figure 15. Players Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
Figure 16. Global Data Analytics in Insurance Revenue by Type (2019 VS 2023 VS 2030) & (US$ Million)
Figure 17. Global Data Analytics in Insurance Revenue Market Share 2019 VS 2023 VS 2030
Figure 18. Global Data Analytics in Insurance Revenue Market Share by Type (2019-2030)
Figure 19. Global Data Analytics in Insurance Revenue by Application (2019 VS 2023 VS 2030) & (US$ Million)
Figure 20. Global Data Analytics in Insurance Revenue Market Share by Application (2019 VS 2023 VS 2030)
Figure 21. Global Data Analytics in Insurance Revenue Market Share by Application (2019-2030)
Figure 22. North America Data Analytics in Insurance Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 23. North America Data Analytics in Insurance Revenue by Type (2025-2030) & (US$ Million)
Figure 24. North America Data Analytics in Insurance Revenue Share by Type (2019-2030)
Figure 25. North America Data Analytics in Insurance Revenue by Application (2025-2030) & (US$ Million)
Figure 26. North America Data Analytics in Insurance Revenue Share by Application (2019-2030)
Figure 27. North America Data Analytics in Insurance Revenue Share by Country (2019-2030)
Figure 28. United States Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 29. Canada Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 30. Europe Data Analytics in Insurance Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 31. Europe Data Analytics in Insurance Revenue by Type (2025-2030) & (US$ Million)
Figure 32. Europe Data Analytics in Insurance Revenue Share by Type (2019-2030)
Figure 33. Europe Data Analytics in Insurance Revenue by Application (2025-2030) & (US$ Million)
Figure 34. Europe Data Analytics in Insurance Revenue Share by Application (2019-2030)
Figure 35. Europe Data Analytics in Insurance Revenue Share by Country (2019-2030)
Figure 36. Germany Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 37. France Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 38. U.K. Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 39. Italy Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 40. Russia Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 41. Nordic Countries Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 42. China Data Analytics in Insurance Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 43. China Data Analytics in Insurance Revenue by Type (2025-2030) & (US$ Million)
Figure 44. China Data Analytics in Insurance Revenue Share by Type (2019-2030)
Figure 45. China Data Analytics in Insurance Revenue by Application (2025-2030) & (US$ Million)
Figure 46. China Data Analytics in Insurance Revenue Share by Application (2019-2030)
Figure 47. Asia Data Analytics in Insurance Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 48. Asia Data Analytics in Insurance Revenue by Type (2025-2030) & (US$ Million)
Figure 49. Asia Data Analytics in Insurance Revenue Share by Type (2019-2030)
Figure 50. Asia Data Analytics in Insurance Revenue by Application (2025-2030) & (US$ Million)
Figure 51. Asia Data Analytics in Insurance Revenue Share by Application (2019-2030)
Figure 52. Asia Data Analytics in Insurance Revenue Share by Country (2019-2030)
Figure 53. Japan Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 54. South Korea Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 55. India Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 56. Australia Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 57. China Taiwan Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 58. Southeast Asia Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 59. MEALA Data Analytics in Insurance Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 60. MEALA Data Analytics in Insurance Revenue by Type (2025-2030) & (US$ Million)
Figure 61. MEALA Data Analytics in Insurance Revenue Share by Type (2019-2030)
Figure 62. MEALA Data Analytics in Insurance Revenue by Application (2025-2030) & (US$ Million)
Figure 63. MEALA Data Analytics in Insurance Revenue Share by Application (2019-2030)
Figure 64. MEALA Data Analytics in Insurance Revenue Share by Country (2019-2030)
Figure 65. Mexico Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 66. South Korea Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 67. Brazil Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 68. Israel Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 69. Argentina Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 70. Colombia Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 71. Turkey Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 72. Saudi Arabia Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 73. UAE Data Analytics in Insurance Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 74. Years Considered
Figure 75. Research Process
Figure 76. Key Executives Interviewed
