Global FinTech in Insurance

FinTech in Insurance Comprehensive Study by Type (Property and Casualty, Life Insuarance, Health Insuarance, Others), Application (Oil and Gas, Manufacturing, Logistics, Others), Technology (IOT, Blockchain, Machine Learning, Others), Deployment (On-Cloud, On-Premise) Players and Region - Global Market Outlook to 2028

FinTech in Insurance Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
FinTech in Insurance Market Scope
FinTech in Insurance is a financial technology that is reshaping the provision of financial services, creating new opportunities, and posing new challenges for both the insurance industry and financial supervisors. Fintech innovations refer to the variety of emerging technologies and innovative business models for the potential to transform the insurance business. Global FinTech in Insurance Market was valued at 16651 Million in 2020 and is expected to reach a market value of ~64,443.30 by 2026, registering a CAGR of ~25.33% over the forecast period of 2021-2026 (henceforth referred to as the forecast period). and Geographically, North America is leading for adoption for fintech in insurance due to rising demand in various sectors such oil and gas, aviation, Manufacturing for insurance products and business lines, with concentrations in the P&C business, hence the market for fintech in insurance is triggering the growth of the market over the forecast period

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledZipari (United States), MetroMile (United States), Corvus Insurance (United States), Kin Insurance (United States), Policygenius (United States), Clearcover (United States), Circulo HealthArtivatic (United States), Oscar Health (United States), Bright Health (United States), Clover Health (United States), ZhongAn (China), Root Insurance (United States), American Well (United States) and Gusto (United States)
CAGR%


The market is expected to grow market in the manufacturing as well oil and gas industry. It has wide applications for property and casualty insurance which is driving the demand for the market. Several companies AIG, alliances, Next Insurance are operating in the market to provide customers with better offers with various features & unique offerings. The market is a highly fragmented market with the presence of several market players and local players. The top ten players hold 30% of the market share thta is triggering the market growth over the forecast period

Zipari (United States), MetroMile (United States), Corvus Insurance (United States), Kin Insurance (United States), Policygenius (United States), Clearcover (United States), Circulo HealthArtivatic (United States), Oscar Health (United States), Bright Health (United States), Clover Health (United States), ZhongAn (China), Root Insurance (United States), American Well (United States) and Gusto (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Lemonade (United States), OutSystems (United States), Next Insurance (United States), Metromile (United States), Hippo (United States), CareCloud (United States), CoverHound (United States), BIMA (United Kingdom), Shift Technology (United States), Mojio (Canada), GoHealth (United States), PolicyGenius (United States), Slice (United States) and Others.

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 FinTech in Insurance market by Type , by Application (Oil and Gas, Manufacturing, Logistics and Others) and Region with country level break-up.

On the basis of geography, the market of FinTech in Insurance has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, 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 2022.

Market Leaders and their expansionary development strategies
On September 2021 Peak Fintech has acquired the Heartbeat Insurance Platform.
On April 2021 N26 enters the insurance space with the launch of the new product. The aim for launching a new product so that customers are able to buy cover, manage plans, and initiate claims through digital banking experience., and On May 2021 Choice group has launched a fintech aggregator platform to address low insurance penetration


Influencing Trend:
Rising demand for blockchain technology for faster-claiming process and payment, and Fintech in insurance companies is minimizing inefficiencies by using artificial intelligence (AI) to automate much of this process.

Market Growth Drivers:
Customers need quick, convenient, and personalized service. Fintech in insurance can help to offer such a service

Challenges:
Lack of trust over the digital claiming and payment process

Restraints:
The initial cost is very high for implementation

Opportunities:
Fintech in insurance has meets the demand for the digital-native generation, helping insurers appeal to a younger clientele

Key Target Audience
Large Enterprise, Factory, Warehouse, Regulatory Authorities, New Entrants/Investors, Strategic Business Planners, Governments and End-Use Industry

Report Objectives / Segmentation Covered

By Type
  • Property and Casualty
  • Life Insuarance
  • Health Insuarance
  • Others
By Application
  • Oil and Gas
  • Manufacturing
  • Logistics
  • Others
By Technology
  • IOT
  • Blockchain
  • Machine Learning
  • Others

By Deployment
  • On-Cloud
  • On-Premise

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • 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. Customers need quick, convenient, and personalized service. Fintech in insurance can help to offer such a service
    • 3.3. Market Challenges
      • 3.3.1. Lack of trust over the digital claiming and payment process
    • 3.4. Market Trends
      • 3.4.1. Rising demand for blockchain technology for faster-claiming process and payment
      • 3.4.2. Fintech in insurance companies is minimizing inefficiencies by using artificial intelligence (AI) to automate much of this process.
  • 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 FinTech in Insurance, by Type, Application, Technology, Deployment and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global FinTech in Insurance (Value)
      • 5.2.1. Global FinTech in Insurance by: Type (Value)
        • 5.2.1.1. Property and Casualty
        • 5.2.1.2. Life Insuarance
        • 5.2.1.3. Health Insuarance
        • 5.2.1.4. Others
      • 5.2.2. Global FinTech in Insurance by: Application (Value)
        • 5.2.2.1. Oil and Gas
        • 5.2.2.2. Manufacturing
        • 5.2.2.3. Logistics
        • 5.2.2.4. Others
      • 5.2.3. Global FinTech in Insurance by: Technology (Value)
        • 5.2.3.1. IOT
        • 5.2.3.2. Blockchain
        • 5.2.3.3. Machine Learning
        • 5.2.3.4. Others
      • 5.2.4. Global FinTech in Insurance by: Deployment (Value)
        • 5.2.4.1. On-Cloud
        • 5.2.4.2. On-Premise
      • 5.2.5. Global FinTech in Insurance Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global FinTech in Insurance (Price)
      • 5.3.1. Global FinTech in Insurance by: Type (Price)
  • 6. FinTech in 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Zipari (United States)
        • 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. MetroMile (United States)
        • 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. Corvus Insurance (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. Kin Insurance (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. Policygenius (United States)
        • 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. Clearcover (United States)
        • 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. Circulo HealthArtivatic (United States)
        • 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. Oscar Health (United States)
        • 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. Bright Health (United States)
        • 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. Clover Health (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. ZhongAn (China)
        • 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. Root Insurance (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. American Well (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. Gusto (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
  • 7. Global FinTech in Insurance Sale, by Type, Application, Technology, Deployment and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global FinTech in Insurance (Value)
      • 7.2.1. Global FinTech in Insurance by: Type (Value)
        • 7.2.1.1. Property and Casualty
        • 7.2.1.2. Life Insuarance
        • 7.2.1.3. Health Insuarance
        • 7.2.1.4. Others
      • 7.2.2. Global FinTech in Insurance by: Application (Value)
        • 7.2.2.1. Oil and Gas
        • 7.2.2.2. Manufacturing
        • 7.2.2.3. Logistics
        • 7.2.2.4. Others
      • 7.2.3. Global FinTech in Insurance by: Technology (Value)
        • 7.2.3.1. IOT
        • 7.2.3.2. Blockchain
        • 7.2.3.3. Machine Learning
        • 7.2.3.4. Others
      • 7.2.4. Global FinTech in Insurance by: Deployment (Value)
        • 7.2.4.1. On-Cloud
        • 7.2.4.2. On-Premise
      • 7.2.5. Global FinTech in Insurance Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global FinTech in Insurance (Price)
      • 7.3.1. Global FinTech in Insurance by: Type (Price)
  • 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. FinTech in Insurance: by Type(USD Million)
  • Table 2. FinTech in Insurance Property and Casualty , by Region USD Million (2017-2022)
  • Table 3. FinTech in Insurance Life Insuarance , by Region USD Million (2017-2022)
  • Table 4. FinTech in Insurance Health Insuarance , by Region USD Million (2017-2022)
  • Table 5. FinTech in Insurance Others , by Region USD Million (2017-2022)
  • Table 6. FinTech in Insurance: by Application(USD Million)
  • Table 7. FinTech in Insurance Oil and Gas , by Region USD Million (2017-2022)
  • Table 8. FinTech in Insurance Manufacturing , by Region USD Million (2017-2022)
  • Table 9. FinTech in Insurance Logistics , by Region USD Million (2017-2022)
  • Table 10. FinTech in Insurance Others , by Region USD Million (2017-2022)
  • Table 11. FinTech in Insurance: by Technology(USD Million)
  • Table 12. FinTech in Insurance IOT , by Region USD Million (2017-2022)
  • Table 13. FinTech in Insurance Blockchain , by Region USD Million (2017-2022)
  • Table 14. FinTech in Insurance Machine Learning , by Region USD Million (2017-2022)
  • Table 15. FinTech in Insurance Others , by Region USD Million (2017-2022)
  • Table 16. FinTech in Insurance: by Deployment(USD Million)
  • Table 17. FinTech in Insurance On-Cloud , by Region USD Million (2017-2022)
  • Table 18. FinTech in Insurance On-Premise , by Region USD Million (2017-2022)
  • Table 19. South America FinTech in Insurance, by Country USD Million (2017-2022)
  • Table 20. South America FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 21. South America FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 22. South America FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 23. South America FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 24. Brazil FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 25. Brazil FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 26. Brazil FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 27. Brazil FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 28. Argentina FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 29. Argentina FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 30. Argentina FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 31. Argentina FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 32. Rest of South America FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 33. Rest of South America FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 34. Rest of South America FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 35. Rest of South America FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 36. Asia Pacific FinTech in Insurance, by Country USD Million (2017-2022)
  • Table 37. Asia Pacific FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 38. Asia Pacific FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 39. Asia Pacific FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 40. Asia Pacific FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 41. China FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 42. China FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 43. China FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 44. China FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 45. Japan FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 46. Japan FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 47. Japan FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 48. Japan FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 49. India FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 50. India FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 51. India FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 52. India FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 53. South Korea FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 54. South Korea FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 55. South Korea FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 56. South Korea FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 57. Taiwan FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 58. Taiwan FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 59. Taiwan FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 60. Taiwan FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 61. Australia FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 62. Australia FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 63. Australia FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 64. Australia FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 68. Rest of Asia-Pacific FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 69. Europe FinTech in Insurance, by Country USD Million (2017-2022)
  • Table 70. Europe FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 71. Europe FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 72. Europe FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 73. Europe FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 74. Germany FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 75. Germany FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 76. Germany FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 77. Germany FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 78. France FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 79. France FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 80. France FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 81. France FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 82. Italy FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 83. Italy FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 84. Italy FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 85. Italy FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 86. United Kingdom FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 87. United Kingdom FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 88. United Kingdom FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 89. United Kingdom FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 90. Netherlands FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 91. Netherlands FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 92. Netherlands FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 93. Netherlands FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 94. Rest of Europe FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 95. Rest of Europe FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 96. Rest of Europe FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 97. Rest of Europe FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 98. MEA FinTech in Insurance, by Country USD Million (2017-2022)
  • Table 99. MEA FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 100. MEA FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 101. MEA FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 102. MEA FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 103. Middle East FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 104. Middle East FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 105. Middle East FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 106. Middle East FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 107. Africa FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 108. Africa FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 109. Africa FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 110. Africa FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 111. North America FinTech in Insurance, by Country USD Million (2017-2022)
  • Table 112. North America FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 113. North America FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 114. North America FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 115. North America FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 116. United States FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 117. United States FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 118. United States FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 119. United States FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 120. Canada FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 121. Canada FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 122. Canada FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 123. Canada FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 124. Mexico FinTech in Insurance, by Type USD Million (2017-2022)
  • Table 125. Mexico FinTech in Insurance, by Application USD Million (2017-2022)
  • Table 126. Mexico FinTech in Insurance, by Technology USD Million (2017-2022)
  • Table 127. Mexico FinTech in Insurance, by Deployment USD Million (2017-2022)
  • Table 128. FinTech in Insurance: by Type(USD/Units)
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. FinTech in Insurance: by Type(USD Million)
  • Table 144. FinTech in Insurance Property and Casualty , by Region USD Million (2023-2028)
  • Table 145. FinTech in Insurance Life Insuarance , by Region USD Million (2023-2028)
  • Table 146. FinTech in Insurance Health Insuarance , by Region USD Million (2023-2028)
  • Table 147. FinTech in Insurance Others , by Region USD Million (2023-2028)
  • Table 148. FinTech in Insurance: by Application(USD Million)
  • Table 149. FinTech in Insurance Oil and Gas , by Region USD Million (2023-2028)
  • Table 150. FinTech in Insurance Manufacturing , by Region USD Million (2023-2028)
  • Table 151. FinTech in Insurance Logistics , by Region USD Million (2023-2028)
  • Table 152. FinTech in Insurance Others , by Region USD Million (2023-2028)
  • Table 153. FinTech in Insurance: by Technology(USD Million)
  • Table 154. FinTech in Insurance IOT , by Region USD Million (2023-2028)
  • Table 155. FinTech in Insurance Blockchain , by Region USD Million (2023-2028)
  • Table 156. FinTech in Insurance Machine Learning , by Region USD Million (2023-2028)
  • Table 157. FinTech in Insurance Others , by Region USD Million (2023-2028)
  • Table 158. FinTech in Insurance: by Deployment(USD Million)
  • Table 159. FinTech in Insurance On-Cloud , by Region USD Million (2023-2028)
  • Table 160. FinTech in Insurance On-Premise , by Region USD Million (2023-2028)
  • Table 161. South America FinTech in Insurance, by Country USD Million (2023-2028)
  • Table 162. South America FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 163. South America FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 164. South America FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 165. South America FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 166. Brazil FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 167. Brazil FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 168. Brazil FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 169. Brazil FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 170. Argentina FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 171. Argentina FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 172. Argentina FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 173. Argentina FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 174. Rest of South America FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 175. Rest of South America FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 176. Rest of South America FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 177. Rest of South America FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 178. Asia Pacific FinTech in Insurance, by Country USD Million (2023-2028)
  • Table 179. Asia Pacific FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 180. Asia Pacific FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 181. Asia Pacific FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 182. Asia Pacific FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 183. China FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 184. China FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 185. China FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 186. China FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 187. Japan FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 188. Japan FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 189. Japan FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 190. Japan FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 191. India FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 192. India FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 193. India FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 194. India FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 195. South Korea FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 196. South Korea FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 197. South Korea FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 198. South Korea FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 199. Taiwan FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 200. Taiwan FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 201. Taiwan FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 202. Taiwan FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 203. Australia FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 204. Australia FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 205. Australia FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 206. Australia FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 207. Rest of Asia-Pacific FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 208. Rest of Asia-Pacific FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 209. Rest of Asia-Pacific FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 210. Rest of Asia-Pacific FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 211. Europe FinTech in Insurance, by Country USD Million (2023-2028)
  • Table 212. Europe FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 213. Europe FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 214. Europe FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 215. Europe FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 216. Germany FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 217. Germany FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 218. Germany FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 219. Germany FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 220. France FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 221. France FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 222. France FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 223. France FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 224. Italy FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 225. Italy FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 226. Italy FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 227. Italy FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 228. United Kingdom FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 229. United Kingdom FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 230. United Kingdom FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 231. United Kingdom FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 232. Netherlands FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 233. Netherlands FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 234. Netherlands FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 235. Netherlands FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 236. Rest of Europe FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 237. Rest of Europe FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 238. Rest of Europe FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 239. Rest of Europe FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 240. MEA FinTech in Insurance, by Country USD Million (2023-2028)
  • Table 241. MEA FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 242. MEA FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 243. MEA FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 244. MEA FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 245. Middle East FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 246. Middle East FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 247. Middle East FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 248. Middle East FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 249. Africa FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 250. Africa FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 251. Africa FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 252. Africa FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 253. North America FinTech in Insurance, by Country USD Million (2023-2028)
  • Table 254. North America FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 255. North America FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 256. North America FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 257. North America FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 258. United States FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 259. United States FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 260. United States FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 261. United States FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 262. Canada FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 263. Canada FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 264. Canada FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 265. Canada FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 266. Mexico FinTech in Insurance, by Type USD Million (2023-2028)
  • Table 267. Mexico FinTech in Insurance, by Application USD Million (2023-2028)
  • Table 268. Mexico FinTech in Insurance, by Technology USD Million (2023-2028)
  • Table 269. Mexico FinTech in Insurance, by Deployment USD Million (2023-2028)
  • Table 270. FinTech in Insurance: by Type(USD/Units)
  • Table 271. Research Programs/Design for This Report
  • Table 272. Key Data Information from Secondary Sources
  • Table 273. 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 FinTech in Insurance: by Type USD Million (2017-2022)
  • Figure 5. Global FinTech in Insurance: by Application USD Million (2017-2022)
  • Figure 6. Global FinTech in Insurance: by Technology USD Million (2017-2022)
  • Figure 7. Global FinTech in Insurance: by Deployment USD Million (2017-2022)
  • Figure 8. South America FinTech in Insurance Share (%), by Country
  • Figure 9. Asia Pacific FinTech in Insurance Share (%), by Country
  • Figure 10. Europe FinTech in Insurance Share (%), by Country
  • Figure 11. MEA FinTech in Insurance Share (%), by Country
  • Figure 12. North America FinTech in Insurance Share (%), by Country
  • Figure 13. Global FinTech in Insurance: by Type USD/Units (2017-2022)
  • Figure 14. Global FinTech in Insurance share by Players 2022 (%)
  • Figure 15. Global FinTech in Insurance share by Players (Top 3) 2022(%)
  • Figure 16. Global FinTech in Insurance share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Zipari (United States) Revenue, Net Income and Gross profit
  • Figure 19. Zipari (United States) Revenue: by Geography 2022
  • Figure 20. MetroMile (United States) Revenue, Net Income and Gross profit
  • Figure 21. MetroMile (United States) Revenue: by Geography 2022
  • Figure 22. Corvus Insurance (United States) Revenue, Net Income and Gross profit
  • Figure 23. Corvus Insurance (United States) Revenue: by Geography 2022
  • Figure 24. Kin Insurance (United States) Revenue, Net Income and Gross profit
  • Figure 25. Kin Insurance (United States) Revenue: by Geography 2022
  • Figure 26. Policygenius (United States) Revenue, Net Income and Gross profit
  • Figure 27. Policygenius (United States) Revenue: by Geography 2022
  • Figure 28. Clearcover (United States) Revenue, Net Income and Gross profit
  • Figure 29. Clearcover (United States) Revenue: by Geography 2022
  • Figure 30. Circulo HealthArtivatic (United States) Revenue, Net Income and Gross profit
  • Figure 31. Circulo HealthArtivatic (United States) Revenue: by Geography 2022
  • Figure 32. Oscar Health (United States) Revenue, Net Income and Gross profit
  • Figure 33. Oscar Health (United States) Revenue: by Geography 2022
  • Figure 34. Bright Health (United States) Revenue, Net Income and Gross profit
  • Figure 35. Bright Health (United States) Revenue: by Geography 2022
  • Figure 36. Clover Health (United States) Revenue, Net Income and Gross profit
  • Figure 37. Clover Health (United States) Revenue: by Geography 2022
  • Figure 38. ZhongAn (China) Revenue, Net Income and Gross profit
  • Figure 39. ZhongAn (China) Revenue: by Geography 2022
  • Figure 40. Root Insurance (United States) Revenue, Net Income and Gross profit
  • Figure 41. Root Insurance (United States) Revenue: by Geography 2022
  • Figure 42. American Well (United States) Revenue, Net Income and Gross profit
  • Figure 43. American Well (United States) Revenue: by Geography 2022
  • Figure 44. Gusto (United States) Revenue, Net Income and Gross profit
  • Figure 45. Gusto (United States) Revenue: by Geography 2022
  • Figure 46. Global FinTech in Insurance: by Type USD Million (2023-2028)
  • Figure 47. Global FinTech in Insurance: by Application USD Million (2023-2028)
  • Figure 48. Global FinTech in Insurance: by Technology USD Million (2023-2028)
  • Figure 49. Global FinTech in Insurance: by Deployment USD Million (2023-2028)
  • Figure 50. South America FinTech in Insurance Share (%), by Country
  • Figure 51. Asia Pacific FinTech in Insurance Share (%), by Country
  • Figure 52. Europe FinTech in Insurance Share (%), by Country
  • Figure 53. MEA FinTech in Insurance Share (%), by Country
  • Figure 54. North America FinTech in Insurance Share (%), by Country
  • Figure 55. Global FinTech in Insurance: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Zipari (United States)
  • MetroMile (United States)
  • Corvus Insurance (United States)
  • Kin Insurance (United States)
  • Policygenius (United States)
  • Clearcover (United States)
  • Circulo HealthArtivatic (United States)
  • Oscar Health (United States)
  • Bright Health (United States)
  • Clover Health (United States)
  • ZhongAn (China)
  • Root Insurance (United States)
  • American Well (United States)
  • Gusto (United States)
Additional players considered in the study are as follows:
Lemonade (United States) , OutSystems (United States) , Next Insurance (United States) , Metromile (United States) , Hippo (United States) , CareCloud (United States) , CoverHound (United States) , BIMA (United Kingdom) , Shift Technology (United States) , Mojio (Canada) , GoHealth (United States) , PolicyGenius (United States) , Slice (United States) , Others
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Key Highlights of Report


Dec 2023 237 Pages 61 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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

The key segments that are playing vital role in FinTech in Insurance Market are by type [Property and Casualty, Life Insuarance, Health Insuarance and Others], by end use application [Oil and Gas, Manufacturing, Logistics and Others].
The FinTech in Insurance Market is gaining popularity and expected to see strong valuation by 2028.
  • Customers need quick, convenient, and personalized service. Fintech in insurance can help to offer such a service

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