Data Analytics in Insurance Industry Research Report 2025

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 valued at US$ million in 2024 and is anticipated to reach US$ million by 2031, witnessing a CAGR of xx% during the forecast period 2025-2031.

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 2025 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 2025 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 2025 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, price, and sales 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 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.

Please Note: Single-User license will be delivered via PDF from the publisher without the rights to print or to edit.


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 (2020 VS 2024 VS 2031)
2.2.2 Service
2.2.3 Software
2.3 Data Analytics in Insurance by Application
2.3.1 Market Value Comparison by Application (2020 VS 2024 VS 2031)
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 (2020-2025)
3.2 Global Data Analytics in Insurance Forecasted Market Size by Type (2026-2031)
4 Data Analytics in Insurance Breakdown Data by Application
4.1 Global Data Analytics in Insurance Historic Market Size by Application (2020-2025)
4.2 Global Data Analytics in Insurance Forecasted Market Size by Application (2026-2031)
5 Global Growth Trends
5.1 Global Data Analytics in Insurance Market Perspective (2020-2031)
5.2 Global Data Analytics in Insurance Growth Trends by Region
5.2.1 Global Data Analytics in Insurance Market Size by Region: 2020 VS 2024 VS 2031
5.2.2 Data Analytics in Insurance Historic Market Size by Region (2020-2025)
5.2.3 Data Analytics in Insurance Forecasted Market Size by Region (2026-2031)
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 (2020-2025)
6.1.2 Global Data Analytics in Insurance Revenue Market Share by Players (2020-2025)
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 (2020-2031)
7.2 North America Data Analytics in Insurance Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 North America Data Analytics in Insurance Market Size by Country (2020-2025)
7.4 North America Data Analytics in Insurance Market Size by Country (2026-2031)
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 (2020-2031)
8.2 Europe Data Analytics in Insurance Market Growth Rate by Country: 2020 VS 2024 VS 2031
8.3 Europe Data Analytics in Insurance Market Size by Country (2020-2025)
8.4 Europe Data Analytics in Insurance Market Size by Country (2026-2031)
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 (2020-2031)
9.2 Asia-Pacific Data Analytics in Insurance Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Asia-Pacific Data Analytics in Insurance Market Size by Country (2020-2025)
9.4 Asia-Pacific Data Analytics in Insurance Market Size by Country (2026-2031)
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 (2020-2031)
10.2 South America Data Analytics in Insurance Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 South America Data Analytics in Insurance Market Size by Country (2020-2025)
10.4 South America Data Analytics in Insurance Market Size by Country (2026-2031)
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 (2020-2031)
11.2 Middle East & Africa Data Analytics in Insurance Market Growth Rate by Country: 2020 VS 2024 VS 2031
11.3 Middle East & Africa Data Analytics in Insurance Market Size by Country (2020-2025)
11.4 Middle East & Africa Data Analytics in Insurance Market Size by Country (2026-2031)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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 (2020-2025)
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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