Insurance Data Analytics - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510244332

Publication Date:

October 29, 2024

Pages:

135

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Insurance data analysis is the way to effectively gauge financial situation to get an idea of how much risk.
The global market for Insurance Data Analytics was estimated to be worth US$ 11670 million in 2023 and is forecast to a readjusted size of US$ 14920 million by 2030 with a CAGR of 3.5% 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Insurance Data Analytics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Insurance Data Analytics by region & country, by Type, and by Application.
The Insurance Data Analytics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Insurance Data Analytics.
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
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of Insurance Data Analytics manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Insurance Data Analytics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Insurance Data Analytics in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Insurance Data Analytics Product Introduction
1.2 Global Insurance Data Analytics Market Size Forecast
1.3 Insurance Data Analytics Market Trends & Drivers
1.3.1 Insurance Data Analytics Industry Trends
1.3.2 Insurance Data Analytics Market Drivers & Opportunity
1.3.3 Insurance Data Analytics Market Challenges
1.3.4 Insurance Data Analytics Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Insurance Data Analytics Players Revenue Ranking (2023)
2.2 Global Insurance Data Analytics Revenue by Company (2019-2024)
2.3 Key Companies Insurance Data Analytics Manufacturing Base Distribution and Headquarters
2.4 Key Companies Insurance Data Analytics Product Offered
2.5 Key Companies Time to Begin Mass Production of Insurance Data Analytics
2.6 Insurance Data Analytics Market Competitive Analysis
2.6.1 Insurance Data Analytics Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Insurance Data Analytics Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Insurance Data Analytics as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Service
3.1.2 Software
3.2 Global Insurance Data Analytics Sales Value by Type
3.2.1 Global Insurance Data Analytics Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Insurance Data Analytics Sales Value, by Type (2019-2030)
3.2.3 Global Insurance Data Analytics Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Pricing Premiums
4.1.2 Prevent and Reduce Fraud
4.1.3 Others
4.2 Global Insurance Data Analytics Sales Value by Application
4.2.1 Global Insurance Data Analytics Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Insurance Data Analytics Sales Value, by Application (2019-2030)
4.2.3 Global Insurance Data Analytics Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Insurance Data Analytics Sales Value by Region
5.1.1 Global Insurance Data Analytics Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Insurance Data Analytics Sales Value by Region (2019-2024)
5.1.3 Global Insurance Data Analytics Sales Value by Region (2025-2030)
5.1.4 Global Insurance Data Analytics Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Insurance Data Analytics Sales Value, 2019-2030
5.2.2 North America Insurance Data Analytics Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Insurance Data Analytics Sales Value, 2019-2030
5.3.2 Europe Insurance Data Analytics Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Insurance Data Analytics Sales Value, 2019-2030
5.4.2 Asia Pacific Insurance Data Analytics Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Insurance Data Analytics Sales Value, 2019-2030
5.5.2 South America Insurance Data Analytics Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Insurance Data Analytics Sales Value, 2019-2030
5.6.2 Middle East & Africa Insurance Data Analytics Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Insurance Data Analytics Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Insurance Data Analytics Sales Value
6.3 United States
6.3.1 United States Insurance Data Analytics Sales Value, 2019-2030
6.3.2 United States Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Insurance Data Analytics Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Insurance Data Analytics Sales Value, 2019-2030
6.4.2 Europe Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Insurance Data Analytics Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Insurance Data Analytics Sales Value, 2019-2030
6.5.2 China Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.5.3 China Insurance Data Analytics Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Insurance Data Analytics Sales Value, 2019-2030
6.6.2 Japan Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Insurance Data Analytics Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Insurance Data Analytics Sales Value, 2019-2030
6.7.2 South Korea Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Insurance Data Analytics Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Insurance Data Analytics Sales Value, 2019-2030
6.8.2 Southeast Asia Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Insurance Data Analytics Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Insurance Data Analytics Sales Value, 2019-2030
6.9.2 India Insurance Data Analytics Sales Value by Type (%), 2023 VS 2030
6.9.3 India Insurance Data Analytics Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Deloitte
7.1.1 Deloitte Profile
7.1.2 Deloitte Main Business
7.1.3 Deloitte Insurance Data Analytics Products, Services and Solutions
7.1.4 Deloitte Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.1.5 Deloitte Recent Developments
7.2 Verisk Analytics
7.2.1 Verisk Analytics Profile
7.2.2 Verisk Analytics Main Business
7.2.3 Verisk Analytics Insurance Data Analytics Products, Services and Solutions
7.2.4 Verisk Analytics Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.2.5 Verisk Analytics Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM Insurance Data Analytics Products, Services and Solutions
7.3.4 IBM Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.3.5 SAP AG Recent Developments
7.4 SAP AG
7.4.1 SAP AG Profile
7.4.2 SAP AG Main Business
7.4.3 SAP AG Insurance Data Analytics Products, Services and Solutions
7.4.4 SAP AG Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.4.5 SAP AG Recent Developments
7.5 LexisNexis
7.5.1 LexisNexis Profile
7.5.2 LexisNexis Main Business
7.5.3 LexisNexis Insurance Data Analytics Products, Services and Solutions
7.5.4 LexisNexis Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.5.5 LexisNexis Recent Developments
7.6 PwC
7.6.1 PwC Profile
7.6.2 PwC Main Business
7.6.3 PwC Insurance Data Analytics Products, Services and Solutions
7.6.4 PwC Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.6.5 PwC Recent Developments
7.7 Guidewire
7.7.1 Guidewire Profile
7.7.2 Guidewire Main Business
7.7.3 Guidewire Insurance Data Analytics Products, Services and Solutions
7.7.4 Guidewire Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.7.5 Guidewire Recent Developments
7.8 RSM
7.8.1 RSM Profile
7.8.2 RSM Main Business
7.8.3 RSM Insurance Data Analytics Products, Services and Solutions
7.8.4 RSM Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.8.5 RSM Recent Developments
7.9 SAS
7.9.1 SAS Profile
7.9.2 SAS Main Business
7.9.3 SAS Insurance Data Analytics Products, Services and Solutions
7.9.4 SAS Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.9.5 SAS Recent Developments
7.10 Pegasystems
7.10.1 Pegasystems Profile
7.10.2 Pegasystems Main Business
7.10.3 Pegasystems Insurance Data Analytics Products, Services and Solutions
7.10.4 Pegasystems Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.10.5 Pegasystems Recent Developments
7.11 Majesco
7.11.1 Majesco Profile
7.11.2 Majesco Main Business
7.11.3 Majesco Insurance Data Analytics Products, Services and Solutions
7.11.4 Majesco Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.11.5 Majesco Recent Developments
7.12 Tableau
7.12.1 Tableau Profile
7.12.2 Tableau Main Business
7.12.3 Tableau Insurance Data Analytics Products, Services and Solutions
7.12.4 Tableau Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.12.5 Tableau Recent Developments
7.13 OpenText
7.13.1 OpenText Profile
7.13.2 OpenText Main Business
7.13.3 OpenText Insurance Data Analytics Products, Services and Solutions
7.13.4 OpenText Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.13.5 OpenText Recent Developments
7.14 Oracle
7.14.1 Oracle Profile
7.14.2 Oracle Main Business
7.14.3 Oracle Insurance Data Analytics Products, Services and Solutions
7.14.4 Oracle Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.14.5 Oracle Recent Developments
7.15 TIBCO Software
7.15.1 TIBCO Software Profile
7.15.2 TIBCO Software Main Business
7.15.3 TIBCO Software Insurance Data Analytics Products, Services and Solutions
7.15.4 TIBCO Software Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.15.5 TIBCO Software Recent Developments
7.16 ReSource Pro
7.16.1 ReSource Pro Profile
7.16.2 ReSource Pro Main Business
7.16.3 ReSource Pro Insurance Data Analytics Products, Services and Solutions
7.16.4 ReSource Pro Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.16.5 ReSource Pro Recent Developments
7.17 BOARD International
7.17.1 BOARD International Profile
7.17.2 BOARD International Main Business
7.17.3 BOARD International Insurance Data Analytics Products, Services and Solutions
7.17.4 BOARD International Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.17.5 BOARD International Recent Developments
7.18 Vertafore
7.18.1 Vertafore Profile
7.18.2 Vertafore Main Business
7.18.3 Vertafore Insurance Data Analytics Products, Services and Solutions
7.18.4 Vertafore Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.18.5 Vertafore Recent Developments
7.19 Qlik
7.19.1 Qlik Profile
7.19.2 Qlik Main Business
7.19.3 Qlik Insurance Data Analytics Products, Services and Solutions
7.19.4 Qlik Insurance Data Analytics Revenue (US$ Million) & (2019-2024)
7.19.5 Qlik Recent Developments
8 Industry Chain Analysis
8.1 Insurance Data Analytics Industrial Chain
8.2 Insurance Data Analytics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Insurance Data Analytics Sales Model
8.5.2 Sales Channel
8.5.3 Insurance Data Analytics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Deloitte
Verisk Analytics
IBM
SAP AG
LexisNexis
PwC
Guidewire
RSM
SAS
Pegasystems
Majesco
Tableau
OpenText
Oracle
TIBCO Software
ReSource Pro
BOARD International
Vertafore
Qlik

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