Artificial intelligence (AI) plays a key role in insurance scam detection by detecting false claims. As a result, insurers can achieve an efficient and effective claims management system. Insurance AI algorithms can analyze huge amounts of data rapidly to find patterns and spot anomalies that don't fit the patterns.
The global market for Artificial Intelligence (AI) in Insurance was estimated to be worth US$ 469 million in 2023 and is forecast to a readjusted size of US$ 1123.1 million by 2030 with a CAGR of 15.3% during the forecast period 2024-2030
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/68 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Insurance, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence (AI) in Insurance by region & country, by Type, and by Application.
The Artificial Intelligence (AI) in Insurance 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 Artificial Intelligence (AI) in Insurance.
麻豆原创 Segmentation
By Company
Google
Microsoft Corporation
Amazon Web Services Inc
IBM Corporation
Avaamo Inc
Baidu Inc
Cape Analytics LLC
Oracle Corporation
Segment by Type:
Software
Platform
Segment by Application
Life Insurance
Car Insurance
Property Insurance
Other
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 Artificial Intelligence (AI) in Insurance 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 Artificial Intelligence (AI) in Insurance 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 Artificial Intelligence (AI) in Insurance 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.
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1 麻豆原创 Overview
1.1 Artificial Intelligence (AI) in Insurance Product Introduction
1.2 Global Artificial Intelligence (AI) in Insurance 麻豆原创 Size Forecast
1.3 Artificial Intelligence (AI) in Insurance 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence (AI) in Insurance Industry Trends
1.3.2 Artificial Intelligence (AI) in Insurance 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence (AI) in Insurance 麻豆原创 Challenges
1.3.4 Artificial Intelligence (AI) in Insurance 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence (AI) in Insurance Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence (AI) in Insurance Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence (AI) in Insurance Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence (AI) in Insurance Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in Insurance
2.6 Artificial Intelligence (AI) in Insurance 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence (AI) in Insurance 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence (AI) in Insurance Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Insurance as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Software
3.1.2 Platform
3.2 Global Artificial Intelligence (AI) in Insurance Sales Value by Type
3.2.1 Global Artificial Intelligence (AI) in Insurance Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence (AI) in Insurance Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence (AI) in Insurance Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Life Insurance
4.1.2 Car Insurance
4.1.3 Property Insurance
4.1.4 Other
4.2 Global Artificial Intelligence (AI) in Insurance Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) in Insurance Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence (AI) in Insurance Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence (AI) in Insurance Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) in Insurance Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) in Insurance Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence (AI) in Insurance Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence (AI) in Insurance Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence (AI) in Insurance Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence (AI) in Insurance Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence (AI) in Insurance Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence (AI) in Insurance Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence (AI) in Insurance Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence (AI) in Insurance Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) in Insurance Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence (AI) in Insurance Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.5.2 China Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence (AI) in Insurance Sales Value, 2019-2030
6.9.2 India Artificial Intelligence (AI) in Insurance Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence (AI) in Insurance Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.1.4 Google Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Microsoft Corporation
7.2.1 Microsoft Corporation Profile
7.2.2 Microsoft Corporation Main Business
7.2.3 Microsoft Corporation Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.2.4 Microsoft Corporation Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Corporation Recent Developments
7.3 Amazon Web Services Inc
7.3.1 Amazon Web Services Inc Profile
7.3.2 Amazon Web Services Inc Main Business
7.3.3 Amazon Web Services Inc Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.3.4 Amazon Web Services Inc Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Corporation Recent Developments
7.4 IBM Corporation
7.4.1 IBM Corporation Profile
7.4.2 IBM Corporation Main Business
7.4.3 IBM Corporation Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.4.4 IBM Corporation Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Corporation Recent Developments
7.5 Avaamo Inc
7.5.1 Avaamo Inc Profile
7.5.2 Avaamo Inc Main Business
7.5.3 Avaamo Inc Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.5.4 Avaamo Inc Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.5.5 Avaamo Inc Recent Developments
7.6 Baidu Inc
7.6.1 Baidu Inc Profile
7.6.2 Baidu Inc Main Business
7.6.3 Baidu Inc Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.6.4 Baidu Inc Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.6.5 Baidu Inc Recent Developments
7.7 Cape Analytics LLC
7.7.1 Cape Analytics LLC Profile
7.7.2 Cape Analytics LLC Main Business
7.7.3 Cape Analytics LLC Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.7.4 Cape Analytics LLC Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.7.5 Cape Analytics LLC Recent Developments
7.8 Oracle Corporation
7.8.1 Oracle Corporation Profile
7.8.2 Oracle Corporation Main Business
7.8.3 Oracle Corporation Artificial Intelligence (AI) in Insurance Products, Services and Solutions
7.8.4 Oracle Corporation Artificial Intelligence (AI) in Insurance Revenue (US$ Million) & (2019-2024)
7.8.5 Oracle Corporation Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) in Insurance Industrial Chain
8.2 Artificial Intelligence (AI) in Insurance 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 Artificial Intelligence (AI) in Insurance Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence (AI) in Insurance 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
Google
Microsoft Corporation
Amazon Web Services Inc
IBM Corporation
Avaamo Inc
Baidu Inc
Cape Analytics LLC
Oracle Corporation
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*If Applicable.