APO RESEARCH · REPORT
Data Analytics in Insurance
Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
Product & engineering
Understand the product.
Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
Selected research
Market Structure
Global Data Analytics in Insurance Market by Size, by Type, by Application, by Region, History and Forecast 2021-2032
Market perspective
Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
The largest market for data analysis is in the United States. In 2019, sales were 4742.87 Million USD, accounting for 45.70% of the global total market, followed by UK and Germany, accounting for 7.73% and 6.82% of the total market, respectively.
Report Includes
Read the full market overview
This report provides an overview of the global Data Analytics in Insurance market and its size, analyzing global market trends based on historical revenue data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of Data Analytics in Insurance and revenue in major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents Data Analytics in Insurance revenue, market share, and industry ranking for the main manufacturers for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
In addition, the report analyzes segment data by Type and Application—covering revenue and growth rates—for 2021-2032, and evaluates and forecasts the Data Analytics in Insurance market size, projected growth trends, production technologies, key applications, and end-use industries.
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
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving, production, value, consumption, growth rate (CAGR), market share, historical and forecast.
2. To present the key manufacturers, capacity, production, 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 volume and value), 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. 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. 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: Analysis key trends, drivers, challenges, and opportunities within the global Data Analytics in Insurance industry.
Chapter 3: Detailed analysis of Data Analytics in Insurance companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: 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 Insurancerevenue, gross margin, and recent development, etc.
Chapter 7: North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 8: Europe by type, by application and by country, revenue for each segment.
Chapter 9: China by type, and by application, revenue for each segment.
Chapter 10: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 11: South America, Middle East & Africa by type, by application and by country, revenue for each segment.
Chapter 12: Concluding Insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Service
- Software
Applications
- Pricing Premiums
- Prevent and Reduce Fraud, and Waste
- Gain Customer Insight
Companies covered
- Deloitte
- Verisk Analytics
- IBM
- SAP AG
- LexisNexis
- PwC
- Guidewire
- RSM
- SAS
- Pegasystems
- Majesco
- Tableau
- OpenText
- Oracle
- TIBCO Software
- ReSource Pro
- BOARD International
- Vertafore
- Qlik
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Market Analysis by Type
- 1.2.1 Global Data Analytics in Insurance Market Size Growth Rate by Type: 2021 VS 2025 VS 2032
- 1.2.2 Service
- 1.2.3 Software
- 1.3 Market Analysis by Application
- 1.3.1 Global Data Analytics in Insurance Market Size Growth Rate by Application: 2021 VS 2025 VS 2032
- 1.3.2 Pricing Premiums
- 1.3.3 Prevent and Reduce Fraud, and Waste
- 1.3.4 Gain Customer Insight
- 1.4 Global Market Growth Prospects
- 1.5 Global Data Analytics in Insurance Growth Trends by Region
- 1.5.1 Global Data Analytics in Insurance Market Size by Region: 2021 VS 2025 VS 2032
- 1.5.2 Data Analytics in Insurance Market Size by Region (2021-2026)
- 1.5.3 Data Analytics in Insurance Market Size by Region (2027-2032)
- 1.6 Assumptions and Limitations
- 1.7 Study Goals and Objectives
- 1.8 Years Considered
2 Global 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 Competitive Landscape by Company
- 3.1 Global Data Analytics in Insurance Revenue by Company (2021-2026)
- 3.2 Global Data Analytics in Insurance Players Revenue Ranking, 2024 VS 2025 VS 2026
- 3.3 Global Data Analytics in Insurance Key Company Head office and Area Served
- 3.4 Global Data Analytics in Insurance Company, Product Type & Application
- 3.5 Global Data Analytics in Insurance Company Establishment Date
- 3.6 Market Competitive Analysis
- 3.6.1 Global Data Analytics in Insurance Market CR5 and HHI
- 3.6.2 Global Top 5 and 10 Data Analytics in Insurance Players Market Share by Revenue in 2025
- 3.6.3 2025 Data Analytics in Insurance Tier 1, Tier 2, and Tier 3
4 Data Analytics in Insurance Market by Type
- 4.1 Global Data Analytics in Insurance Market Size by Type (2021 VS 2025 VS 2032)
- 4.2 Global Data Analytics in Insurance Market Size by Type (2021-2032)
- 4.3 Global Data Analytics in Insurance Market Size Share by Type (2021-2032)
5 Data Analytics in Insurance Market by Application
- 5.1 Global Data Analytics in Insurance Market Size by Application (2021 VS 2025 VS 2032)
- 5.2 Global Data Analytics in Insurance Market Size by Application (2021-2032)
- 5.3 Global Data Analytics in Insurance Market Size Share by Application (2021-2032)
6 Company Profiles
- 6.1 Deloitte
- 6.1.1 Deloitte Company Information
- 6.1.2 Deloitte Business Overview
- 6.1.3 Deloitte Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.1.4 Deloitte Data Analytics in Insurance Product Portfolio
- 6.1.5 Deloitte Recent Developments
- 6.2 Verisk Analytics
- 6.2.1 Verisk Analytics Company Information
- 6.2.2 Verisk Analytics Business Overview
- 6.2.3 Verisk Analytics Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.2.4 Verisk Analytics Data Analytics in Insurance Product Portfolio
- 6.2.5 Verisk Analytics Recent Developments
- 6.3 IBM
- 6.3.1 IBM Company Information
- 6.3.2 IBM Business Overview
- 6.3.3 IBM Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.3.4 IBM Data Analytics in Insurance Product Portfolio
- 6.3.5 IBM Recent Developments
- 6.4 SAP AG
- 6.4.1 SAP AG Company Information
- 6.4.2 SAP AG Business Overview
- 6.4.3 SAP AG Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.4.4 SAP AG Data Analytics in Insurance Product Portfolio
- 6.4.5 SAP AG Recent Developments
- 6.5 LexisNexis
- 6.5.1 LexisNexis Company Information
- 6.5.2 LexisNexis Business Overview
- 6.5.3 LexisNexis Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.5.4 LexisNexis Data Analytics in Insurance Product Portfolio
- 6.5.5 LexisNexis Recent Developments
- 6.6 PwC
- 6.6.1 PwC Company Information
- 6.6.2 PwC Business Overview
- 6.6.3 PwC Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.6.4 PwC Data Analytics in Insurance Product Portfolio
- 6.6.5 PwC Recent Developments
- 6.7 Guidewire
- 6.7.1 Guidewire Company Information
- 6.7.2 Guidewire Business Overview
- 6.7.3 Guidewire Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.7.4 Guidewire Data Analytics in Insurance Product Portfolio
- 6.7.5 Guidewire Recent Developments
- 6.8 RSM
- 6.8.1 RSM Company Information
- 6.8.2 RSM Business Overview
- 6.8.3 RSM Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.8.4 RSM Data Analytics in Insurance Product Portfolio
- 6.8.5 RSM Recent Developments
- 6.9 SAS
- 6.9.1 SAS Company Information
- 6.9.2 SAS Business Overview
- 6.9.3 SAS Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.9.4 SAS Data Analytics in Insurance Product Portfolio
- 6.9.5 SAS Recent Developments
- 6.10 Pegasystems
- 6.10.1 Pegasystems Company Information
- 6.10.2 Pegasystems Business Overview
- 6.10.3 Pegasystems Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.10.4 Pegasystems Data Analytics in Insurance Product Portfolio
- 6.10.5 Pegasystems Recent Developments
- 6.11 Majesco
- 6.11.1 Majesco Company Information
- 6.11.2 Majesco Business Overview
- 6.11.3 Majesco Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.11.4 Majesco Data Analytics in Insurance Product Portfolio
- 6.11.5 Majesco Recent Developments
- 6.12 Tableau
- 6.12.1 Tableau Company Information
- 6.12.2 Tableau Business Overview
- 6.12.3 Tableau Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.12.4 Tableau Data Analytics in Insurance Product Portfolio
- 6.12.5 Tableau Recent Developments
- 6.13 OpenText
- 6.13.1 OpenText Company Information
- 6.13.2 OpenText Business Overview
- 6.13.3 OpenText Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.13.4 OpenText Data Analytics in Insurance Product Portfolio
- 6.13.5 OpenText Recent Developments
- 6.14 Oracle
- 6.14.1 Oracle Company Information
- 6.14.2 Oracle Business Overview
- 6.14.3 Oracle Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.14.4 Oracle Data Analytics in Insurance Product Portfolio
- 6.14.5 Oracle Recent Developments
- 6.15 TIBCO Software
- 6.15.1 TIBCO Software Company Information
- 6.15.2 TIBCO Software Business Overview
- 6.15.3 TIBCO Software Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.15.4 TIBCO Software Data Analytics in Insurance Product Portfolio
- 6.15.5 TIBCO Software Recent Developments
- 6.16 ReSource Pro
- 6.16.1 ReSource Pro Company Information
- 6.16.2 ReSource Pro Business Overview
- 6.16.3 ReSource Pro Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.16.4 ReSource Pro Data Analytics in Insurance Product Portfolio
- 6.16.5 ReSource Pro Recent Developments
- 6.17 BOARD International
- 6.17.1 BOARD International Company Information
- 6.17.2 BOARD International Business Overview
- 6.17.3 BOARD International Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.17.4 BOARD International Data Analytics in Insurance Product Portfolio
- 6.17.5 BOARD International Recent Developments
- 6.18 Vertafore
- 6.18.1 Vertafore Company Information
- 6.18.2 Vertafore Business Overview
- 6.18.3 Vertafore Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.18.4 Vertafore Data Analytics in Insurance Product Portfolio
- 6.18.5 Vertafore Recent Developments
- 6.19 Qlik
- 6.19.1 Qlik Company Information
- 6.19.2 Qlik Business Overview
- 6.19.3 Qlik Data Analytics in Insurance Revenue and Gross Margin (US$ Million) & (2021-2026)
- 6.19.4 Qlik Data Analytics in Insurance Product Portfolio
- 6.19.5 Qlik Recent Developments
7 North America
- 7.1 North America Data Analytics in Insurance Market Size (2021-2032)
- 7.2 North America Data Analytics in Insurance Market Size by Type
- 7.2.1 North America Data Analytics in Insurance Market Size by Type (2021-2026)
- 7.2.2 North America Data Analytics in Insurance Market Size by Type (2027-2032)
- 7.2.3 North America Data Analytics in Insurance Market Share by Type (2021-2032)
- 7.3 North America Data Analytics in Insurance Market Size by Application
- 7.3.1 North America Data Analytics in Insurance Market Size by Application (2021-2026)
- 7.3.2 North America Data Analytics in Insurance Market Size by Application (2027-2032)
- 7.3.3 North America Data Analytics in Insurance Market Share by Application (2021-2032)
- 7.4 North America Data Analytics in Insurance Market Size by Country
- 7.4.1 North America Data Analytics in Insurance Market Size by Country (2021 VS 2025 VS 2032)
- 7.4.2 North America Data Analytics in Insurance Market Size by Country (2021-2026)
- 7.4.3 North America Data Analytics in Insurance Market Size by Country (2027-2032)
- 7.4.4 North America Data Analytics in Insurance Market Share by Country (2021-2032)
- 7.4.5 United States
- 7.4.6 Canada
- 7.4.7 Mexico
8 Europe
- 8.1 Europe Data Analytics in Insurance Market Size (2021-2032)
- 8.2 Europe Data Analytics in Insurance Market Size by Type
- 8.2.1 Europe Data Analytics in Insurance Market Size by Type (2021-2026)
- 8.2.2 Europe Data Analytics in Insurance Market Size by Type (2027-2032)
- 8.2.3 Europe Data Analytics in Insurance Market Share by Type (2021-2032)
- 8.3 Europe Data Analytics in Insurance Market Size by Application
- 8.3.1 Europe Data Analytics in Insurance Market Size by Application (2021-2026)
- 8.3.2 Europe Data Analytics in Insurance Market Size by Application (2027-2032)
- 8.3.3 Europe Data Analytics in Insurance Market Share by Application (2021-2032)
- 8.4 Europe Data Analytics in Insurance Market Size by Country
- 8.4.1 Europe Data Analytics in Insurance Market Size by Country (2021 VS 2025 VS 2032)
- 8.4.2 Europe Data Analytics in Insurance Market Size by Country (2021-2026)
- 8.4.3 Europe Data Analytics in Insurance Market Size by Country (2027-2032)
- 8.4.4 Europe Data Analytics in Insurance Market Share by Country (2021-2032)
- 8.4.5 Germany
- 8.4.6 France
- 8.4.7 U.K.
- 8.4.8 Italy
- 8.4.9 Russia
- 8.4.10 Nordic Countries
9 China
- 9.1 China Data Analytics in Insurance Market Size (2021-2032)
- 9.2 China Data Analytics in Insurance Market Size by Type
- 9.2.1 China Data Analytics in Insurance Market Size by Type (2021-2026)
- 9.2.2 China Data Analytics in Insurance Market Size by Type (2027-2032)
- 9.2.3 China Data Analytics in Insurance Market Share by Type (2021-2032)
- 9.3 China Data Analytics in Insurance Market Size by Application
- 9.3.1 China Data Analytics in Insurance Market Size by Application (2021-2026)
- 9.3.2 China Data Analytics in Insurance Market Size by Application (2027-2032)
- 9.3.3 China Data Analytics in Insurance Market Share by Application (2021-2032)
10 Asia (Excluding China)
- 10.1 Asia Data Analytics in Insurance Market Size (2021-2032)
- 10.2 Asia Data Analytics in Insurance Market Size by Type
- 10.2.1 Asia Data Analytics in Insurance Market Size by Type (2021-2026)
- 10.2.2 Asia Data Analytics in Insurance Market Size by Type (2027-2032)
- 10.2.3 Asia Data Analytics in Insurance Market Share by Type (2021-2032)
- 10.3 Asia Data Analytics in Insurance Market Size by Application
- 10.3.1 Asia Data Analytics in Insurance Market Size by Application (2021-2026)
- 10.3.2 Asia Data Analytics in Insurance Market Size by Application (2027-2032)
- 10.3.3 Asia Data Analytics in Insurance Market Share by Application (2021-2032)
- 10.4 Asia Data Analytics in Insurance Market Size by Country
- 10.4.1 Asia Data Analytics in Insurance Market Size by Country (2021 VS 2025 VS 2032)
- 10.4.2 Asia Data Analytics in Insurance Market Size by Country (2021-2026)
- 10.4.3 Asia Data Analytics in Insurance Market Size by Country (2027-2032)
- 10.4.4 Asia Data Analytics in Insurance Market Share by Country (2021-2032)
- 10.4.5 Japan
- 10.4.6 South Korea
- 10.4.7 Taiwan
- 10.4.8 Southeast Asia
- 10.4.9 India
- 10.4.10 Australia
11 South America, Middle East & Africa
- 11.1 South America, Middle East & Africa Data Analytics in Insurance Market Size (2021-2032)
- 11.2 South America, Middle East & Africa Data Analytics in Insurance Market Size by Type
- 11.2.1 South America, Middle East & Africa Data Analytics in Insurance Market Size by Type (2021-2026)
- 11.2.2 South America, Middle East & Africa Data Analytics in Insurance Market Size by Type (2027-2032)
- 11.2.3 South America, Middle East & Africa Data Analytics in Insurance Market Share by Type (2021-2032)
- 11.3 South America, Middle East & Africa Data Analytics in Insurance Market Size by Application
- 11.3.1 South America, Middle East & Africa Data Analytics in Insurance Market Size by Application (2021-2026)
- 11.3.2 South America, Middle East & Africa Data Analytics in Insurance Market Size by Application (2027-2032)
- 11.3.3 South America, Middle East & Africa Data Analytics in Insurance Market Share by Application (2021-2032)
- 11.4 South America, Middle East & Africa Data Analytics in Insurance Market Size by Country
- 11.4.1 South America, Middle East & Africa Data Analytics in Insurance Market Size by Country (2021 VS 2025 VS 2032)
- 11.4.2 South America, Middle East & Africa Data Analytics in Insurance Market Size by Country (2021-2026)
- 11.4.3 South America, Middle East & Africa Data Analytics in Insurance Market Size by Country (2027-2032)
- 11.4.4 South America, Middle East & Africa Data Analytics in Insurance Market Share by Country (2021-2032)
- 11.4.5 Brazil
- 11.4.6 South Africa
- 11.4.7 Saudi Arabia
- 11.4.8 Turkey
- 11.4.9 Argentina
- 11.4.9 UAE
- 11.4.9 Egypt
- 11.4.9 Chile
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
- 13.6 Disclaimer
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