Global AI in Auto Insurance

AI in Auto Insurance Comprehensive Study by Type (Liability, Collision, Comprehensive), Application (Claims Assessment, Chatbots for Customer Service, Policy Pricing), Auto Insurance Type (Usage-based insurance, On-demand insurance, Peer-to-peer (P2P) insurance) Players and Region - Global Market Outlook to 2030

AI in Auto Insurance Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 6.6%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI in Auto Insurance Market Scope
Artificial intelligence is transforming every industry due to its innovative and revolutionary capabilities which may substantially affect the performance of an every business. AI enables auto insurance companies to offer their services resourcefully to its customers. AI in auto insurance enable all services with quicker pay-outs and customized policy prices. Further, AI in auto insurance market help insurance companies to reach out to its customers offers right set of products, and faster claim process. The generation of large volume of data through various software’s and mobile devices are providing growth to the insurance sector with significant rate. This data represents a huge opportunity for insurance companies to gain insights from their customers and various business aspects. Further, raising demand for auto insurance in emerging countries like Chin, Australia and India is impacting on the demand for AI in auto insurance market to provide quicker services by preventing fraud and risk associated with it. According to Microsoft release, in India there are more than 230 million vehicles and 1200 auto accidental cases are registered. Hence, the demand for insurance for safety purpose has been raised.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
Key Companies ProfiledPing An Insurance (Group) of China Ltd.(China), New China Life Insurance (China), Allstate(United States), The Hartford Financial Services Group(United States), China Pacific Insurance Group(China), IFFCO Tokio General Insurance (Japan), HDFC ERGO General Insurance(India), Bajaj Allianz General Insurance(India), AXA XL (Germany), Trov Insurance Solutions, LLC (United States), SkyWatch Insurance Services, Inc.(United States), WorkFusion(United States), Lemonade, Inc. (United States), Attivio(United States), Clearcover(United States), Flyreel(United States), Galaxy AI (United States) and Insurmi (United States)
CAGR6.6%


There are various companies are operating in this industry and working to increase and overcome challenge like to lower risk associate with cyber security. There are various market players are entering in this industry to capture market growth opportunities. The market leaders are investing on organic and non-organic strategic growth initiatives to become dominant in this industry.

Ping An Insurance (Group) of China Ltd.(China), New China Life Insurance (China), Allstate(United States), The Hartford Financial Services Group(United States), China Pacific Insurance Group(China), IFFCO Tokio General Insurance (Japan), HDFC ERGO General Insurance(India), Bajaj Allianz General Insurance(India), AXA XL (Germany), Trov Insurance Solutions, LLC (United States), SkyWatch Insurance Services, Inc.(United States), WorkFusion(United States), Lemonade, Inc. (United States), Attivio(United States), Clearcover(United States), Flyreel(United States), Galaxy AI (United States) and Insurmi (United States) are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global AI in Auto Insurance market by Type , by Application (Claims Assessment, Chatbots for Customer Service and Policy Pricing) and Region with country level break-up.

On the basis of geography, the market of AI in Auto Insurance has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). region held largest market share in the year 2023.

Market Leaders and their expansionary development strategies
In October 2021, Work Fusion, a leading provider of Robotic Process Automation (RPA) and Intelligent Automation solutions, today announced its partnership with Selective Insurance to automate the intake of new commercial business submissions.
In April 2023, Bajaj Allianz General Insurance, actyv.ai announce a partnership to offer insurance to enterprises and their business partner ecosystem .with its strong focus on delivering superior value and customer centricity will leverage the technology stack of the actyv.ai platform by offering innovative insurance products to champion the sustainability of suppliers, distributors, and retailers.


Influencing Trend:
Increasing demand of cognitive technologies for Auto insurance

Market Growth Drivers:
Rising inclination towards the use of AI based programs owing to their quicker and safer process for access is impacting on the demand for AI in Auto insurance, Growing demand due to its ability to prevent and identify inconsistencies in applications, claims and premium assessments and The wide adoption of AI in insurance sector

Challenges:
To lowers the risk associated with cybersecurity in data management with the help of AI is well known challenge for the market

Restraints:
Risk associated with malfunctioning, bad programming, failures, misinterpretation of data and Negative impact on the employment of Insurance industry restraining the market growth

Opportunities:
The use of Application Platform Interface (API) and Next Generation Platform (NGP) for claim analysis are providing new opportunity for AI in Auto insurance and Identification of customer termination risk by AI is boosting the market growth

Key Target Audience
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Strategic Business Planners, Insurance providers, Government Regulatory and Research Organizations and End-Use Industries

Report Objectives / Segmentation Covered

By Type
  • Liability
  • Collision
  • Comprehensive
By Application
  • Claims Assessment
  • Chatbots for Customer Service
  • Policy Pricing
By Auto Insurance Type
  • Usage-based insurance
  • On-demand insurance
  • Peer-to-peer (P2P) insurance

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising inclination towards the use of AI based programs owing to their quicker and safer process for access is impacting on the demand for AI in Auto insurance
      • 3.2.2. Growing demand due to its ability to prevent and identify inconsistencies in applications, claims and premium assessments
      • 3.2.3. The wide adoption of AI in insurance sector
    • 3.3. Market Challenges
      • 3.3.1. To lowers the risk associated with cybersecurity in data management with the help of AI is well known challenge for the market
    • 3.4. Market Trends
      • 3.4.1. Increasing demand of cognitive technologies for Auto insurance
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI in Auto Insurance, by Type, Application, Auto Insurance Type and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global AI in Auto Insurance (Value)
      • 5.2.1. Global AI in Auto Insurance by: Type (Value)
        • 5.2.1.1. Liability
        • 5.2.1.2. Collision
        • 5.2.1.3. Comprehensive
      • 5.2.2. Global AI in Auto Insurance by: Application (Value)
        • 5.2.2.1. Claims Assessment
        • 5.2.2.2. Chatbots for Customer Service
        • 5.2.2.3. Policy Pricing
      • 5.2.3. Global AI in Auto Insurance by: Auto Insurance Type (Value)
        • 5.2.3.1. Usage-based insurance
        • 5.2.3.2. On-demand insurance
        • 5.2.3.3. Peer-to-peer (P2P) insurance
      • 5.2.4. Global AI in Auto Insurance Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Australia
          • 5.2.4.2.6. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. AI in Auto Insurance: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Ping An Insurance (Group) of China Ltd.(China)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. New China Life Insurance (China)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Allstate(United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. The Hartford Financial Services Group(United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. China Pacific Insurance Group(China)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. IFFCO Tokio General Insurance (Japan)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. HDFC ERGO General Insurance(India)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Bajaj Allianz General Insurance(India)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. AXA XL (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Trov Insurance Solutions, LLC (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. SkyWatch Insurance Services, Inc.(United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. WorkFusion(United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Lemonade, Inc. (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Attivio(United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Clearcover(United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Flyreel(United States)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Galaxy AI (United States)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. Insurmi (United States)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
  • 7. Global AI in Auto Insurance Sale, by Type, Application, Auto Insurance Type and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global AI in Auto Insurance (Value)
      • 7.2.1. Global AI in Auto Insurance by: Type (Value)
        • 7.2.1.1. Liability
        • 7.2.1.2. Collision
        • 7.2.1.3. Comprehensive
      • 7.2.2. Global AI in Auto Insurance by: Application (Value)
        • 7.2.2.1. Claims Assessment
        • 7.2.2.2. Chatbots for Customer Service
        • 7.2.2.3. Policy Pricing
      • 7.2.3. Global AI in Auto Insurance by: Auto Insurance Type (Value)
        • 7.2.3.1. Usage-based insurance
        • 7.2.3.2. On-demand insurance
        • 7.2.3.3. Peer-to-peer (P2P) insurance
      • 7.2.4. Global AI in Auto Insurance Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Australia
          • 7.2.4.2.6. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI in Auto Insurance: by Type(USD Million)
  • Table 2. AI in Auto Insurance Liability , by Region USD Million (2018-2023)
  • Table 3. AI in Auto Insurance Collision , by Region USD Million (2018-2023)
  • Table 4. AI in Auto Insurance Comprehensive , by Region USD Million (2018-2023)
  • Table 5. AI in Auto Insurance: by Application(USD Million)
  • Table 6. AI in Auto Insurance Claims Assessment , by Region USD Million (2018-2023)
  • Table 7. AI in Auto Insurance Chatbots for Customer Service , by Region USD Million (2018-2023)
  • Table 8. AI in Auto Insurance Policy Pricing , by Region USD Million (2018-2023)
  • Table 9. AI in Auto Insurance: by Auto Insurance Type(USD Million)
  • Table 10. AI in Auto Insurance Usage-based insurance , by Region USD Million (2018-2023)
  • Table 11. AI in Auto Insurance On-demand insurance , by Region USD Million (2018-2023)
  • Table 12. AI in Auto Insurance Peer-to-peer (P2P) insurance , by Region USD Million (2018-2023)
  • Table 13. South America AI in Auto Insurance, by Country USD Million (2018-2023)
  • Table 14. South America AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 15. South America AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 16. South America AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 17. Brazil AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 18. Brazil AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 19. Brazil AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 20. Argentina AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 21. Argentina AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 22. Argentina AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 23. Rest of South America AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 24. Rest of South America AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 25. Rest of South America AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 26. Asia Pacific AI in Auto Insurance, by Country USD Million (2018-2023)
  • Table 27. Asia Pacific AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 28. Asia Pacific AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 29. Asia Pacific AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 30. China AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 31. China AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 32. China AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 33. Japan AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 34. Japan AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 35. Japan AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 36. India AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 37. India AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 38. India AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 39. South Korea AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 40. South Korea AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 41. South Korea AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 42. Australia AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 43. Australia AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 44. Australia AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 45. Rest of Asia-Pacific AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 46. Rest of Asia-Pacific AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 47. Rest of Asia-Pacific AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 48. Europe AI in Auto Insurance, by Country USD Million (2018-2023)
  • Table 49. Europe AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 50. Europe AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 51. Europe AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 52. Germany AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 53. Germany AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 54. Germany AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 55. France AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 56. France AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 57. France AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 58. Italy AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 59. Italy AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 60. Italy AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 61. United Kingdom AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 62. United Kingdom AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 63. United Kingdom AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 64. Netherlands AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 65. Netherlands AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 66. Netherlands AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 67. Rest of Europe AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 68. Rest of Europe AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 69. Rest of Europe AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 70. MEA AI in Auto Insurance, by Country USD Million (2018-2023)
  • Table 71. MEA AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 72. MEA AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 73. MEA AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 74. Middle East AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 75. Middle East AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 76. Middle East AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 77. Africa AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 78. Africa AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 79. Africa AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 80. North America AI in Auto Insurance, by Country USD Million (2018-2023)
  • Table 81. North America AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 82. North America AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 83. North America AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 84. United States AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 85. United States AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 86. United States AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 87. Canada AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 88. Canada AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 89. Canada AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 90. Mexico AI in Auto Insurance, by Type USD Million (2018-2023)
  • Table 91. Mexico AI in Auto Insurance, by Application USD Million (2018-2023)
  • Table 92. Mexico AI in Auto Insurance, by Auto Insurance Type USD Million (2018-2023)
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. AI in Auto Insurance: by Type(USD Million)
  • Table 112. AI in Auto Insurance Liability , by Region USD Million (2025-2030)
  • Table 113. AI in Auto Insurance Collision , by Region USD Million (2025-2030)
  • Table 114. AI in Auto Insurance Comprehensive , by Region USD Million (2025-2030)
  • Table 115. AI in Auto Insurance: by Application(USD Million)
  • Table 116. AI in Auto Insurance Claims Assessment , by Region USD Million (2025-2030)
  • Table 117. AI in Auto Insurance Chatbots for Customer Service , by Region USD Million (2025-2030)
  • Table 118. AI in Auto Insurance Policy Pricing , by Region USD Million (2025-2030)
  • Table 119. AI in Auto Insurance: by Auto Insurance Type(USD Million)
  • Table 120. AI in Auto Insurance Usage-based insurance , by Region USD Million (2025-2030)
  • Table 121. AI in Auto Insurance On-demand insurance , by Region USD Million (2025-2030)
  • Table 122. AI in Auto Insurance Peer-to-peer (P2P) insurance , by Region USD Million (2025-2030)
  • Table 123. South America AI in Auto Insurance, by Country USD Million (2025-2030)
  • Table 124. South America AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 125. South America AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 126. South America AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 127. Brazil AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 128. Brazil AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 129. Brazil AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 130. Argentina AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 131. Argentina AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 132. Argentina AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 133. Rest of South America AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 134. Rest of South America AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 135. Rest of South America AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 136. Asia Pacific AI in Auto Insurance, by Country USD Million (2025-2030)
  • Table 137. Asia Pacific AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 138. Asia Pacific AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 139. Asia Pacific AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 140. China AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 141. China AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 142. China AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 143. Japan AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 144. Japan AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 145. Japan AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 146. India AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 147. India AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 148. India AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 149. South Korea AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 150. South Korea AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 151. South Korea AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 152. Australia AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 153. Australia AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 154. Australia AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 155. Rest of Asia-Pacific AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 156. Rest of Asia-Pacific AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 157. Rest of Asia-Pacific AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 158. Europe AI in Auto Insurance, by Country USD Million (2025-2030)
  • Table 159. Europe AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 160. Europe AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 161. Europe AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 162. Germany AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 163. Germany AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 164. Germany AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 165. France AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 166. France AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 167. France AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 168. Italy AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 169. Italy AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 170. Italy AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 171. United Kingdom AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 172. United Kingdom AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 173. United Kingdom AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 174. Netherlands AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 175. Netherlands AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 176. Netherlands AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 177. Rest of Europe AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 178. Rest of Europe AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 179. Rest of Europe AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 180. MEA AI in Auto Insurance, by Country USD Million (2025-2030)
  • Table 181. MEA AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 182. MEA AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 183. MEA AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 184. Middle East AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 185. Middle East AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 186. Middle East AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 187. Africa AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 188. Africa AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 189. Africa AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 190. North America AI in Auto Insurance, by Country USD Million (2025-2030)
  • Table 191. North America AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 192. North America AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 193. North America AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 194. United States AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 195. United States AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 196. United States AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 197. Canada AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 198. Canada AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 199. Canada AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 200. Mexico AI in Auto Insurance, by Type USD Million (2025-2030)
  • Table 201. Mexico AI in Auto Insurance, by Application USD Million (2025-2030)
  • Table 202. Mexico AI in Auto Insurance, by Auto Insurance Type USD Million (2025-2030)
  • Table 203. Research Programs/Design for This Report
  • Table 204. Key Data Information from Secondary Sources
  • Table 205. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI in Auto Insurance: by Type USD Million (2018-2023)
  • Figure 5. Global AI in Auto Insurance: by Application USD Million (2018-2023)
  • Figure 6. Global AI in Auto Insurance: by Auto Insurance Type USD Million (2018-2023)
  • Figure 7. South America AI in Auto Insurance Share (%), by Country
  • Figure 8. Asia Pacific AI in Auto Insurance Share (%), by Country
  • Figure 9. Europe AI in Auto Insurance Share (%), by Country
  • Figure 10. MEA AI in Auto Insurance Share (%), by Country
  • Figure 11. North America AI in Auto Insurance Share (%), by Country
  • Figure 12. Global AI in Auto Insurance share by Players 2023 (%)
  • Figure 13. Global AI in Auto Insurance share by Players (Top 3) 2023(%)
  • Figure 14. Global AI in Auto Insurance share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Ping An Insurance (Group) of China Ltd.(China) Revenue, Net Income and Gross profit
  • Figure 17. Ping An Insurance (Group) of China Ltd.(China) Revenue: by Geography 2023
  • Figure 18. New China Life Insurance (China) Revenue, Net Income and Gross profit
  • Figure 19. New China Life Insurance (China) Revenue: by Geography 2023
  • Figure 20. Allstate(United States) Revenue, Net Income and Gross profit
  • Figure 21. Allstate(United States) Revenue: by Geography 2023
  • Figure 22. The Hartford Financial Services Group(United States) Revenue, Net Income and Gross profit
  • Figure 23. The Hartford Financial Services Group(United States) Revenue: by Geography 2023
  • Figure 24. China Pacific Insurance Group(China) Revenue, Net Income and Gross profit
  • Figure 25. China Pacific Insurance Group(China) Revenue: by Geography 2023
  • Figure 26. IFFCO Tokio General Insurance (Japan) Revenue, Net Income and Gross profit
  • Figure 27. IFFCO Tokio General Insurance (Japan) Revenue: by Geography 2023
  • Figure 28. HDFC ERGO General Insurance(India) Revenue, Net Income and Gross profit
  • Figure 29. HDFC ERGO General Insurance(India) Revenue: by Geography 2023
  • Figure 30. Bajaj Allianz General Insurance(India) Revenue, Net Income and Gross profit
  • Figure 31. Bajaj Allianz General Insurance(India) Revenue: by Geography 2023
  • Figure 32. AXA XL (Germany) Revenue, Net Income and Gross profit
  • Figure 33. AXA XL (Germany) Revenue: by Geography 2023
  • Figure 34. Trov Insurance Solutions, LLC (United States) Revenue, Net Income and Gross profit
  • Figure 35. Trov Insurance Solutions, LLC (United States) Revenue: by Geography 2023
  • Figure 36. SkyWatch Insurance Services, Inc.(United States) Revenue, Net Income and Gross profit
  • Figure 37. SkyWatch Insurance Services, Inc.(United States) Revenue: by Geography 2023
  • Figure 38. WorkFusion(United States) Revenue, Net Income and Gross profit
  • Figure 39. WorkFusion(United States) Revenue: by Geography 2023
  • Figure 40. Lemonade, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 41. Lemonade, Inc. (United States) Revenue: by Geography 2023
  • Figure 42. Attivio(United States) Revenue, Net Income and Gross profit
  • Figure 43. Attivio(United States) Revenue: by Geography 2023
  • Figure 44. Clearcover(United States) Revenue, Net Income and Gross profit
  • Figure 45. Clearcover(United States) Revenue: by Geography 2023
  • Figure 46. Flyreel(United States) Revenue, Net Income and Gross profit
  • Figure 47. Flyreel(United States) Revenue: by Geography 2023
  • Figure 48. Galaxy AI (United States) Revenue, Net Income and Gross profit
  • Figure 49. Galaxy AI (United States) Revenue: by Geography 2023
  • Figure 50. Insurmi (United States) Revenue, Net Income and Gross profit
  • Figure 51. Insurmi (United States) Revenue: by Geography 2023
  • Figure 52. Global AI in Auto Insurance: by Type USD Million (2025-2030)
  • Figure 53. Global AI in Auto Insurance: by Application USD Million (2025-2030)
  • Figure 54. Global AI in Auto Insurance: by Auto Insurance Type USD Million (2025-2030)
  • Figure 55. South America AI in Auto Insurance Share (%), by Country
  • Figure 56. Asia Pacific AI in Auto Insurance Share (%), by Country
  • Figure 57. Europe AI in Auto Insurance Share (%), by Country
  • Figure 58. MEA AI in Auto Insurance Share (%), by Country
  • Figure 59. North America AI in Auto Insurance Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Ping An Insurance (Group) of China Ltd.(China)
  • New China Life Insurance (China)
  • Allstate(United States)
  • The Hartford Financial Services Group(United States)
  • China Pacific Insurance Group(China)
  • IFFCO Tokio General Insurance (Japan)
  • HDFC ERGO General Insurance(India)
  • Bajaj Allianz General Insurance(India)
  • AXA XL (Germany)
  • Trov Insurance Solutions, LLC (United States)
  • SkyWatch Insurance Services, Inc.(United States)
  • WorkFusion(United States)
  • Lemonade, Inc. (United States)
  • Attivio(United States)
  • Clearcover(United States)
  • Flyreel(United States)
  • Galaxy AI (United States)
  • Insurmi (United States)
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Feb 2024 210 Pages 85 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global AI in Auto Insurance Quantitative research analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in AI in Auto Insurance Market are by type [Liability, Collision and Comprehensive], by end use application [Claims Assessment, Chatbots for Customer Service and Policy Pricing].
The AI in Auto Insurance Market is gaining popularity and expected to see strong valuation by 2030.
  • Rising inclination towards the use of AI based programs owing to their quicker and safer process for access is impacting on the demand for AI in Auto insurance
  • Growing demand due to its ability to prevent and identify inconsistencies in applications, claims and premium assessments
  • The wide adoption of AI in insurance sector

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