Global Data Analytics in Insurance Industry Growth and Trends Forecast to 2031
Description
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 was estimated at US$ million in 2025 and is projected to reach a revised size of US$ million by 2031, witnessing a CAGR of xx% during the forecast period 2026-2031.
North American market for Data Analytics in Insurance is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Asia-Pacific market for Data Analytics in Insurance is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Europe market for Data Analytics in Insurance is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
The major global companies of Data Analytics in Insurance include Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM and SAS, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Analytics in Insurance, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Analytics in Insurance.
The Data Analytics in Insurance market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Data Analytics in Insurance market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided. For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, gross margin by manufacturers for the period 2020-2025. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses.
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
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 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 global and regional market size and CAGR for the history and forecast period (2020-2025, 2026-2031). 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: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 3: Provides the analysis of various market segments by 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 4: 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 5: Detailed analysis of Data Analytics in Insurance companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights of the report
Please Note: Single-User license will be delivered via PDF from the publisher without the rights to print or to edit.
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 was estimated at US$ million in 2025 and is projected to reach a revised size of US$ million by 2031, witnessing a CAGR of xx% during the forecast period 2026-2031.
North American market for Data Analytics in Insurance is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Asia-Pacific market for Data Analytics in Insurance is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
Europe market for Data Analytics in Insurance is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2026 through 2031.
The major global companies of Data Analytics in Insurance include Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM and SAS, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Analytics in Insurance, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Analytics in Insurance.
The Data Analytics in Insurance market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Data Analytics in Insurance market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided. For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, gross margin by manufacturers for the period 2020-2025. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses.
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
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 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 global and regional market size and CAGR for the history and forecast period (2020-2025, 2026-2031). 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: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 3: Provides the analysis of various market segments by 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 4: 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 5: Detailed analysis of Data Analytics in Insurance companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: Concluding Insights of the report
Please Note: Single-User license will be delivered via PDF from the publisher without the rights to print or to edit.
Table of Contents
111 Pages
- 1 Market Overview
- 2 Data Analytics in Insurance Market by Type
- 3 Data Analytics in Insurance Market by Application
- 4 Global Market Dynamics
- 5 Competitive Insights by Company
- 6 Company Profiles
- 7 North America
- 8 Europe
- 9 Asia-Pacific
- 10 South America
- 11 Middle East & Africa
- 12 Concluding Insights
- 13 Appendix
1.1 Product Definition
1.2 Global Market Growth Prospects
1.3 Global Data Analytics in Insurance Market Size Overview by Region 2020 VS 2024 VS 2031
1.4 Global Data Analytics in Insurance Market Size by Region (2020-2031)
1.4.1 Global Data Analytics in Insurance Market Size by Region (2020-2025)
1.4.2 Global Data Analytics in Insurance Market Size by Region (2026-2031)
1.5 Key Regions Data Analytics in Insurance Market Size (2020-2031)
1.5.1 North America Data Analytics in Insurance Market Size Growth Rate (2020-2031)
1.5.2 Europe Data Analytics in Insurance Market Size Growth Rate (2020-2031)
1.5.3 Asia-Pacific Data Analytics in Insurance Market Size Growth Rate (2020-2031)
1.5.4 South America Data Analytics in Insurance Market Size Growth Rate (2020-2031)
1.5.5 Middle East & Africa Data Analytics in Insurance Market Size Growth Rate (2020-2031)
2.1 Type Introduction
2.1.1 Service
2.1.2 Software
2.2 Global Data Analytics in Insurance Market Size by Type
2.2.1 Global Data Analytics in Insurance Market Size Overview by Type (2020-2031)
2.2.2 Global Data Analytics in Insurance Historic Market Size Review by Type (2020-2025)
2.2.3 Global Data Analytics in Insurance Market Size Forecasted by Type (2026-2031)
2.3 Global Data Analytics in Insurance Market Size by Regions
2.3.1 North America Data Analytics in Insurance Market Size Breakdown by Type (2020-2025)
2.3.2 Europe Data Analytics in Insurance Market Size Breakdown by Type (2020-2025)
2.3.3 Asia-Pacific Data Analytics in Insurance Market Size Breakdown by Type (2020-2025)
2.3.4 South America Data Analytics in Insurance Market Size Breakdown by Type (2020-2025)
2.3.5 Middle East and Africa Data Analytics in Insurance Market Size Breakdown by Type (2020-2025)
3.1 Type Introduction
3.1.1 Pricing Premiums
3.1.2 Prevent and Reduce Fraud, and Waste
3.1.3 Gain Customer Insight
3.2 Global Data Analytics in Insurance Market Size by Application
3.2.1 Global Data Analytics in Insurance Market Size Overview by Application (2020-2031)
3.2.2 Global Data Analytics in Insurance Historic Market Size Review by Application (2020-2025)
3.2.3 Global Data Analytics in Insurance Market Size Forecasted by Application (2026-2031)
3.3 Global Data Analytics in Insurance Market Size by Regions
3.3.1 North America Data Analytics in Insurance Market Size Breakdown by Application (2020-2025)
3.3.2 Europe Data Analytics in Insurance Market Size Breakdown by Application (2020-2025)
3.3.3 Asia-Pacific Data Analytics in Insurance Market Size Breakdown by Application (2020-2025)
3.3.4 South America Data Analytics in Insurance Market Size Breakdown by Application (2020-2025)
3.3.5 Middle East and Africa Data Analytics in Insurance Market Size Breakdown by Application (2020-2025)
4.1 Data Analytics in Insurance Industry Trends
4.2 Data Analytics in Insurance Industry Drivers
4.3 Data Analytics in Insurance Industry Opportunities and Challenges
4.4 Data Analytics in Insurance Industry Restraints
5.1 Global Top Players by Data Analytics in Insurance Revenue (2020-2025)
5.2 Global Data Analytics in Insurance Industry Company Ranking, 2023 VS 2024 VS 2025
5.3 Global Data Analytics in Insurance Key Company Headquarters & Area Served
5.4 Global Data Analytics in Insurance Company, Product Type & Application
5.5 Global Data Analytics in Insurance Company Commercialization Time
5.6 Market Competitive Analysis
5.6.1 Global Data Analytics in Insurance Market CR5 and HHI
5.6.2 Global Top 5 and 10 Data Analytics in Insurance Players Market Share by Revenue in 2024
5.6.3 2024 Data Analytics in Insurance Tier 1, Tier 2, and Tier 3
6.1 Deloitte
6.1.1 Deloitte Comapny Information
6.1.2 Deloitte Business Overview
6.1.3 Deloitte Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.2.2 Verisk Analytics Business Overview
6.2.3 Verisk Analytics Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.3.2 IBM Business Overview
6.3.3 IBM Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.4.2 SAP AG Business Overview
6.4.3 SAP AG Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.5.2 LexisNexis Business Overview
6.5.3 LexisNexis Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.5.4 LexisNexis Data Analytics in Insurance Product Portfolio
6.5.5 LexisNexis Recent Developments
6.6 PwC
6.6.1 PwC Comapny Information
6.6.2 PwC Business Overview
6.6.3 PwC Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.6.4 PwC Data Analytics in Insurance Product Portfolio
6.6.5 PwC Recent Developments
6.7 Guidewire
6.7.1 Guidewire Comapny Information
6.7.2 Guidewire Business Overview
6.7.3 Guidewire Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.7.4 Guidewire Data Analytics in Insurance Product Portfolio
6.7.5 Guidewire Recent Developments
6.8 RSM
6.8.1 RSM Comapny Information
6.8.2 RSM Business Overview
6.8.3 RSM Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.8.4 RSM Data Analytics in Insurance Product Portfolio
6.8.5 RSM Recent Developments
6.9 SAS
6.9.1 SAS Comapny Information
6.9.2 SAS Business Overview
6.9.3 SAS Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.9.4 SAS Data Analytics in Insurance Product Portfolio
6.9.5 SAS Recent Developments
6.10 Pegasystems
6.10.1 Pegasystems Comapny Information
6.10.2 Pegasystems Business Overview
6.10.3 Pegasystems Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.10.4 Pegasystems Data Analytics in Insurance Product Portfolio
6.10.5 Pegasystems Recent Developments
6.11 Majesco
6.11.1 Majesco Comapny Information
6.11.2 Majesco Business Overview
6.11.3 Majesco Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.11.4 Majesco Data Analytics in Insurance Product Portfolio
6.11.5 Majesco Recent Developments
6.12 Tableau
6.12.1 Tableau Comapny Information
6.12.2 Tableau Business Overview
6.12.3 Tableau Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.12.4 Tableau Data Analytics in Insurance Product Portfolio
6.12.5 Tableau Recent Developments
6.13 OpenText
6.13.1 OpenText Comapny Information
6.13.2 OpenText Business Overview
6.13.3 OpenText Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.13.4 OpenText Data Analytics in Insurance Product Portfolio
6.13.5 OpenText Recent Developments
6.14 Oracle
6.14.1 Oracle Comapny Information
6.14.2 Oracle Business Overview
6.14.3 Oracle Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.15.2 TIBCO Software Business Overview
6.15.3 TIBCO Software Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.16.2 ReSource Pro Business Overview
6.16.3 ReSource Pro Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.17.2 BOARD International Business Overview
6.17.3 BOARD International Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
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 Comapny Information
6.18.2 Vertafore Business Overview
6.18.3 Vertafore Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.18.4 Vertafore Data Analytics in Insurance Product Portfolio
6.18.5 Vertafore Recent Developments
6.19 Qlik
6.19.1 Qlik Comapny Information
6.19.2 Qlik Business Overview
6.19.3 Qlik Data Analytics in Insurance Revenue, Global Share and Gross Margin (2020-2025)
6.19.4 Qlik Data Analytics in Insurance Product Portfolio
6.19.5 Qlik Recent Developments
7.1 North America Data Analytics in Insurance Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
7.2 North America Data Analytics in Insurance Market Size by Country (2020-2025)
7.3 North America Data Analytics in Insurance Market Size Forecast by Country (2026-2031)
8.1 Europe Data Analytics in Insurance Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
8.2 Europe Data Analytics in Insurance Market Size by Country (2020-2025)
8.3 Europe Data Analytics in Insurance Market Size Forecast by Country (2026-2031)
9.1 Asia-Pacific Data Analytics in Insurance Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
9.2 Asia-Pacific Data Analytics in Insurance Market Size by Country (2020-2025)
9.3 Asia-Pacific Data Analytics in Insurance Market Size Forecast by Country (2026-2031)
10.1 South America Data Analytics in Insurance Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
10.2 South America Data Analytics in Insurance Market Size by Country (2020-2025)
10.3 South America Data Analytics in Insurance Market Size Forecast by Country (2026-2031)
11.1 Middle East & Africa Data Analytics in Insurance Market Size Growth Rate (CAGR) by Country: 2020 VS 2024 VS 2031
11.2 Middle East & Africa Data Analytics in Insurance Market Size by Country (2020-2025)
11.3 Middle East & Africa Data Analytics in Insurance Market Size Forecast by Country (2026-2031)
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
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