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
Industry Research
Data Analytics in Insurance Industry Research Report 2026
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 Scope
Read the full market overview
This report quantifies the global Data Analytics in Insurance market in terms of revenue (US$ million) and, where applicable, service volume (K Units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/K Units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Data Analytics in Insurance.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Data Analytics in Insurance Market 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
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
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: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Data Analytics in Insurance companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions 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 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Data Analytics in Insurance by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Service
- 2.2.3 Software
- 2.3 Data Analytics in Insurance by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Pricing Premiums
- 2.3.3 Prevent and Reduce Fraud, and Waste
- 2.3.4 Gain Customer Insight
- 2.4 Assumptions and Limitations
3 Data Analytics in Insurance Breakdown Data by Type
- 3.1 Global Data Analytics in Insurance Historic Market Size by Type (2021-2026)
- 3.2 Global Data Analytics in Insurance Forecasted Market Size by Type (2027-2032)
4 Data Analytics in Insurance Breakdown Data by Application
- 4.1 Global Data Analytics in Insurance Historic Market Size by Application (2021-2026)
- 4.2 Global Data Analytics in Insurance Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Data Analytics in Insurance Market Perspective (2021-2032)
- 5.2 Global Data Analytics in Insurance Growth Trends by Region
- 5.2.1 Global Data Analytics in Insurance Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Data Analytics in Insurance Historic Market Size by Region (2021-2026)
- 5.2.3 Data Analytics in Insurance Forecasted Market Size by Region (2027-2032)
- 5.3 Data Analytics in Insurance Market Dynamics
- 5.3.1 Data Analytics in Insurance Industry Trends
- 5.3.2 Data Analytics in Insurance Market Drivers
- 5.3.3 Data Analytics in Insurance Market Challenges
- 5.3.4 Data Analytics in Insurance Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Data Analytics in Insurance Players by Revenue
- 6.1.1 Global Top Data Analytics in Insurance Players by Revenue (2021-2026)
- 6.1.2 Global Data Analytics in Insurance Revenue Market Share by Players (2021-2026)
- 6.2 Global Data Analytics in Insurance Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Data Analytics in Insurance Head Office and Area Served
- 6.4 Global Data Analytics in Insurance Players, Product Type & Application
- 6.5 Global Data Analytics in Insurance Manufacturers Established Date
- 6.6 Global Data Analytics in Insurance Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Data Analytics in Insurance Market Size (2021-2032)
- 7.2 North America Data Analytics in Insurance Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Data Analytics in Insurance Market Size by Country (2021-2026)
- 7.4 North America Data Analytics in Insurance Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Data Analytics in Insurance Market Size (2021-2032)
- 8.2 Europe Data Analytics in Insurance Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Data Analytics in Insurance Market Size by Country (2021-2026)
- 8.4 Europe Data Analytics in Insurance Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Data Analytics in Insurance Market Size (2021-2032)
- 9.2 Asia-Pacific Data Analytics in Insurance Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Data Analytics in Insurance Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Data Analytics in Insurance Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Data Analytics in Insurance Market Size (2021-2032)
- 10.2 South America Data Analytics in Insurance Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Data Analytics in Insurance Market Size by Country (2021-2026)
- 10.4 South America Data Analytics in Insurance Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Data Analytics in Insurance Market Size (2021-2032)
- 11.2 Middle East & Africa Data Analytics in Insurance Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Data Analytics in Insurance Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Data Analytics in Insurance Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Deloitte
- 12.1.1 Deloitte Company Information
- 12.1.2 Deloitte Business Overview
- 12.1.3 Deloitte Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.1.4 Deloitte Data Analytics in Insurance Product Portfolio
- 12.1.5 Deloitte Recent Developments
- 12.2 Verisk Analytics
- 12.2.1 Verisk Analytics Company Information
- 12.2.2 Verisk Analytics Business Overview
- 12.2.3 Verisk Analytics Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.2.4 Verisk Analytics Data Analytics in Insurance Product Portfolio
- 12.2.5 Verisk Analytics Recent Developments
- 12.3 IBM
- 12.3.1 IBM Company Information
- 12.3.2 IBM Business Overview
- 12.3.3 IBM Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.3.4 IBM Data Analytics in Insurance Product Portfolio
- 12.3.5 IBM Recent Developments
- 12.4 SAP AG
- 12.4.1 SAP AG Company Information
- 12.4.2 SAP AG Business Overview
- 12.4.3 SAP AG Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.4.4 SAP AG Data Analytics in Insurance Product Portfolio
- 12.4.5 SAP AG Recent Developments
- 12.5 LexisNexis
- 12.5.1 LexisNexis Company Information
- 12.5.2 LexisNexis Business Overview
- 12.5.3 LexisNexis Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.5.4 LexisNexis Data Analytics in Insurance Product Portfolio
- 12.5.5 LexisNexis Recent Developments
- 12.6 PwC
- 12.6.1 PwC Company Information
- 12.6.2 PwC Business Overview
- 12.6.3 PwC Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.6.4 PwC Data Analytics in Insurance Product Portfolio
- 12.6.5 PwC Recent Developments
- 12.7 Guidewire
- 12.7.1 Guidewire Company Information
- 12.7.2 Guidewire Business Overview
- 12.7.3 Guidewire Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.7.4 Guidewire Data Analytics in Insurance Product Portfolio
- 12.7.5 Guidewire Recent Developments
- 12.8 RSM
- 12.8.1 RSM Company Information
- 12.8.2 RSM Business Overview
- 12.8.3 RSM Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.8.4 RSM Data Analytics in Insurance Product Portfolio
- 12.8.5 RSM Recent Developments
- 12.9 SAS
- 12.9.1 SAS Company Information
- 12.9.2 SAS Business Overview
- 12.9.3 SAS Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.9.4 SAS Data Analytics in Insurance Product Portfolio
- 12.9.5 SAS Recent Developments
- 12.10 Pegasystems
- 12.10.1 Pegasystems Company Information
- 12.10.2 Pegasystems Business Overview
- 12.10.3 Pegasystems Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.10.4 Pegasystems Data Analytics in Insurance Product Portfolio
- 12.10.5 Pegasystems Recent Developments
- 12.11 Majesco
- 12.11.1 Majesco Company Information
- 12.11.2 Majesco Business Overview
- 12.11.3 Majesco Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.11.4 Majesco Data Analytics in Insurance Product Portfolio
- 12.11.5 Majesco Recent Developments
- 12.12 Tableau
- 12.12.1 Tableau Company Information
- 12.12.2 Tableau Business Overview
- 12.12.3 Tableau Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.12.4 Tableau Data Analytics in Insurance Product Portfolio
- 12.12.5 Tableau Recent Developments
- 12.13 OpenText
- 12.13.1 OpenText Company Information
- 12.13.2 OpenText Business Overview
- 12.13.3 OpenText Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.13.4 OpenText Data Analytics in Insurance Product Portfolio
- 12.13.5 OpenText Recent Developments
- 12.14 Oracle
- 12.14.1 Oracle Company Information
- 12.14.2 Oracle Business Overview
- 12.14.3 Oracle Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.14.4 Oracle Data Analytics in Insurance Product Portfolio
- 12.14.5 Oracle Recent Developments
- 12.15 TIBCO Software
- 12.15.1 TIBCO Software Company Information
- 12.15.2 TIBCO Software Business Overview
- 12.15.3 TIBCO Software Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.15.4 TIBCO Software Data Analytics in Insurance Product Portfolio
- 12.15.5 TIBCO Software Recent Developments
- 12.16 ReSource Pro
- 12.16.1 ReSource Pro Company Information
- 12.16.2 ReSource Pro Business Overview
- 12.16.3 ReSource Pro Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.16.4 ReSource Pro Data Analytics in Insurance Product Portfolio
- 12.16.5 ReSource Pro Recent Developments
- 12.17 BOARD International
- 12.17.1 BOARD International Company Information
- 12.17.2 BOARD International Business Overview
- 12.17.3 BOARD International Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.17.4 BOARD International Data Analytics in Insurance Product Portfolio
- 12.17.5 BOARD International Recent Developments
- 12.18 Vertafore
- 12.18.1 Vertafore Company Information
- 12.18.2 Vertafore Business Overview
- 12.18.3 Vertafore Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.18.4 Vertafore Data Analytics in Insurance Product Portfolio
- 12.18.5 Vertafore Recent Developments
- 12.19 Qlik
- 12.19.1 Qlik Company Information
- 12.19.2 Qlik Business Overview
- 12.19.3 Qlik Revenue in Data Analytics in Insurance Business (2021-2026)
- 12.19.4 Qlik Data Analytics in Insurance Product Portfolio
- 12.19.5 Qlik Recent Developments
13 Report Conclusion
14 Disclaimer
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