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Global Data Analytics in Insurance Market Research Report 2024
Synopsis
Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
The global Data Analytics in Insurance market was valued at US$ 11670 million in 2023 and is anticipated to reach US$ 19480 million by 2030, witnessing a CAGR of 7.5% during the forecast period 2024-2030.
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.
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.
Report Scope
The Data Analytics in Insurance market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
The report will help the Data Analytics in Insurance companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
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
Segment by Type
Service
Software
Segment by Application
Pricing Premiums
Prevent and Reduce Fraud, and Waste
Gain Customer Insight
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 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 3: Detailed analysis of Data Analytics in Insurance companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
The global Data Analytics in Insurance market was valued at US$ 11670 million in 2023 and is anticipated to reach US$ 19480 million by 2030, witnessing a CAGR of 7.5% during the forecast period 2024-2030.
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.
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.
Report Scope
The Data Analytics in Insurance market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
The report will help the Data Analytics in Insurance companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
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
Segment by Type
Service
Software
Segment by Application
Pricing Premiums
Prevent and Reduce Fraud, and Waste
Gain Customer Insight
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 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 3: Detailed analysis of Data Analytics in Insurance companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Analytics in Insurance Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Service
1.2.3 Software
1.3 Market by Application
1.3.1 Global Data Analytics in Insurance Market Growth 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 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Analytics in Insurance Market Perspective (2019-2030)
2.2 Data Analytics in Insurance Growth Trends by Region
2.2.1 Global Data Analytics in Insurance Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Analytics in Insurance Historic Market Size by Region (2019-2024)
2.2.3 Data Analytics in Insurance Forecasted Market Size by Region (2025-2030)
2.3 Data Analytics in Insurance Market Dynamics
2.3.1 Data Analytics in Insurance Industry Trends
2.3.2 Data Analytics in Insurance Market Drivers
2.3.3 Data Analytics in Insurance Market Challenges
2.3.4 Data Analytics in Insurance Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Analytics in Insurance Players by Revenue
3.1.1 Global Top Data Analytics in Insurance Players by Revenue (2019-2024)
3.1.2 Global Data Analytics in Insurance Revenue Market Share by Players (2019-2024)
3.2 Global Data Analytics in Insurance Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Analytics in Insurance Revenue
3.4 Global Data Analytics in Insurance Market Concentration Ratio
3.4.1 Global Data Analytics in Insurance Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Analytics in Insurance Revenue in 2023
3.5 Data Analytics in Insurance Key Players Head office and Area Served
3.6 Key Players Data Analytics in Insurance Product Solution and Service
3.7 Date of Enter into Data Analytics in Insurance Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Analytics in Insurance Breakdown Data by Type
4.1 Global Data Analytics in Insurance Historic Market Size by Type (2019-2024)
4.2 Global Data Analytics in Insurance Forecasted Market Size by Type (2025-2030)
5 Data Analytics in Insurance Breakdown Data by Application
5.1 Global Data Analytics in Insurance Historic Market Size by Application (2019-2024)
5.2 Global Data Analytics in Insurance Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Analytics in Insurance Market Size (2019-2030)
6.2 North America Data Analytics in Insurance Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Analytics in Insurance Market Size by Country (2019-2024)
6.4 North America Data Analytics in Insurance Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Analytics in Insurance Market Size (2019-2030)
7.2 Europe Data Analytics in Insurance Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Analytics in Insurance Market Size by Country (2019-2024)
7.4 Europe Data Analytics in Insurance Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Analytics in Insurance Market Size (2019-2030)
8.2 Asia-Pacific Data Analytics in Insurance Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Analytics in Insurance Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Analytics in Insurance Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Analytics in Insurance Market Size (2019-2030)
9.2 Latin America Data Analytics in Insurance Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Analytics in Insurance Market Size by Country (2019-2024)
9.4 Latin America Data Analytics in Insurance Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Analytics in Insurance Market Size (2019-2030)
10.2 Middle East & Africa Data Analytics in Insurance Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Analytics in Insurance Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Analytics in Insurance Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Deloitte
11.1.1 Deloitte Company Detail
11.1.2 Deloitte Business Overview
11.1.3 Deloitte Data Analytics in Insurance Introduction
11.1.4 Deloitte Revenue in Data Analytics in Insurance Business (2019-2024)
11.1.5 Deloitte Recent Development
11.2 Verisk Analytics
11.2.1 Verisk Analytics Company Detail
11.2.2 Verisk Analytics Business Overview
11.2.3 Verisk Analytics Data Analytics in Insurance Introduction
11.2.4 Verisk Analytics Revenue in Data Analytics in Insurance Business (2019-2024)
11.2.5 Verisk Analytics Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Data Analytics in Insurance Introduction
11.3.4 IBM Revenue in Data Analytics in Insurance Business (2019-2024)
11.3.5 IBM Recent Development
11.4 SAP AG
11.4.1 SAP AG Company Detail
11.4.2 SAP AG Business Overview
11.4.3 SAP AG Data Analytics in Insurance Introduction
11.4.4 SAP AG Revenue in Data Analytics in Insurance Business (2019-2024)
11.4.5 SAP AG Recent Development
11.5 LexisNexis
11.5.1 LexisNexis Company Detail
11.5.2 LexisNexis Business Overview
11.5.3 LexisNexis Data Analytics in Insurance Introduction
11.5.4 LexisNexis Revenue in Data Analytics in Insurance Business (2019-2024)
11.5.5 LexisNexis Recent Development
11.6 PwC
11.6.1 PwC Company Detail
11.6.2 PwC Business Overview
11.6.3 PwC Data Analytics in Insurance Introduction
11.6.4 PwC Revenue in Data Analytics in Insurance Business (2019-2024)
11.6.5 PwC Recent Development
11.7 Guidewire
11.7.1 Guidewire Company Detail
11.7.2 Guidewire Business Overview
11.7.3 Guidewire Data Analytics in Insurance Introduction
11.7.4 Guidewire Revenue in Data Analytics in Insurance Business (2019-2024)
11.7.5 Guidewire Recent Development
11.8 RSM
11.8.1 RSM Company Detail
11.8.2 RSM Business Overview
11.8.3 RSM Data Analytics in Insurance Introduction
11.8.4 RSM Revenue in Data Analytics in Insurance Business (2019-2024)
11.8.5 RSM Recent Development
11.9 SAS
11.9.1 SAS Company Detail
11.9.2 SAS Business Overview
11.9.3 SAS Data Analytics in Insurance Introduction
11.9.4 SAS Revenue in Data Analytics in Insurance Business (2019-2024)
11.9.5 SAS Recent Development
11.10 Pegasystems
11.10.1 Pegasystems Company Detail
11.10.2 Pegasystems Business Overview
11.10.3 Pegasystems Data Analytics in Insurance Introduction
11.10.4 Pegasystems Revenue in Data Analytics in Insurance Business (2019-2024)
11.10.5 Pegasystems Recent Development
11.11 Majesco
11.11.1 Majesco Company Detail
11.11.2 Majesco Business Overview
11.11.3 Majesco Data Analytics in Insurance Introduction
11.11.4 Majesco Revenue in Data Analytics in Insurance Business (2019-2024)
11.11.5 Majesco Recent Development
11.12 Tableau
11.12.1 Tableau Company Detail
11.12.2 Tableau Business Overview
11.12.3 Tableau Data Analytics in Insurance Introduction
11.12.4 Tableau Revenue in Data Analytics in Insurance Business (2019-2024)
11.12.5 Tableau Recent Development
11.13 OpenText
11.13.1 OpenText Company Detail
11.13.2 OpenText Business Overview
11.13.3 OpenText Data Analytics in Insurance Introduction
11.13.4 OpenText Revenue in Data Analytics in Insurance Business (2019-2024)
11.13.5 OpenText Recent Development
11.14 Oracle
11.14.1 Oracle Company Detail
11.14.2 Oracle Business Overview
11.14.3 Oracle Data Analytics in Insurance Introduction
11.14.4 Oracle Revenue in Data Analytics in Insurance Business (2019-2024)
11.14.5 Oracle Recent Development
11.15 TIBCO Software
11.15.1 TIBCO Software Company Detail
11.15.2 TIBCO Software Business Overview
11.15.3 TIBCO Software Data Analytics in Insurance Introduction
11.15.4 TIBCO Software Revenue in Data Analytics in Insurance Business (2019-2024)
11.15.5 TIBCO Software Recent Development
11.16 ReSource Pro
11.16.1 ReSource Pro Company Detail
11.16.2 ReSource Pro Business Overview
11.16.3 ReSource Pro Data Analytics in Insurance Introduction
11.16.4 ReSource Pro Revenue in Data Analytics in Insurance Business (2019-2024)
11.16.5 ReSource Pro Recent Development
11.17 BOARD International
11.17.1 BOARD International Company Detail
11.17.2 BOARD International Business Overview
11.17.3 BOARD International Data Analytics in Insurance Introduction
11.17.4 BOARD International Revenue in Data Analytics in Insurance Business (2019-2024)
11.17.5 BOARD International Recent Development
11.18 Vertafore
11.18.1 Vertafore Company Detail
11.18.2 Vertafore Business Overview
11.18.3 Vertafore Data Analytics in Insurance Introduction
11.18.4 Vertafore Revenue in Data Analytics in Insurance Business (2019-2024)
11.18.5 Vertafore Recent Development
11.19 Qlik
11.19.1 Qlik Company Detail
11.19.2 Qlik Business Overview
11.19.3 Qlik Data Analytics in Insurance Introduction
11.19.4 Qlik Revenue in Data Analytics in Insurance Business (2019-2024)
11.19.5 Qlik Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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