Global Life Insurance Platforms Market

Life Insurance Platforms Comprehensive Study by Application (Term insurance, Whole life insurance, Group life insurance, Others), Component (Software, Service), End User (Insurance companies, Aggregators, Others) Players and Region - Global Market Outlook to 2030

Life Insurance Platforms Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 13.8%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Life Insurance Platforms Market Scope
An insurance platform is a collection of websites that give insurers and other organizations API access to a wide range of services, data, capabilities, and organizations. These websites are typically cloud-based, designed to scale through network effects, and monetized in various ways by the platform sponsor. The increasing acceptance of Internet of Things (IoT) devices, the shift in insurers' focus from product-based to customer-centric strategies, and more awareness among insurers to digitalize channels are all contributing to this growth.

AttributesDetails
Study Period2018-2030
Base Year2023
High Growth MarketAsia Pacific
Largest MarketNorth America
UnitValue (USD Million)
Key Companies ProfiledAccenture (Ireland), TCS (India), IBM (United States), DXC (United States), SAP (Germany), Oracle (United States), Microsoft (United States), Infosys (India), Pegasystems (United States), Appian (United States), Cognizant (United States), Mindtree (India), Prima Solutions (France), Fineos (Ireland) and Bolt Solutions (United States)
CAGR13.8%


Expansions, investments, new service launches, and collaborations are among the companies' favoured strategies for exploring the market. Players are expanding and acquiring businesses in new geographies around the world in order to get a competitive advantage through joint ventures. Research Analyst at AMA estimates that Global Players will contribute to the maximum growth of Global Life Insurance Platforms market throughout the predicted period.

Accenture (Ireland), TCS (India), IBM (United States), DXC (United States), SAP (Germany), Oracle (United States), Microsoft (United States), Infosys (India), Pegasystems (United States), Appian (United States), Cognizant (United States), Mindtree (India), Prima Solutions (France), Fineos (Ireland) and Bolt Solutions (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 Fineos (Ireland), Bolt Solutions (United States), Majesco (United States), EIS Group (United States) and Cogitate Technology Solutions (United States).

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 Life Insurance Platforms market by Type , by Application (Term insurance, Whole life insurance, Group life insurance and Others) and Region with country level break-up.

On the basis of geography, the market of Life Insurance Platforms 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). North America region held largest market share in the year 2023. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement.

Market Leaders and their expansionary development strategies
In February 2024, Sapiens International Corporation, announced a partnership to empower more insurance companies worldwide to use client-provided health data for improved risk management and value-added services at reduced costs. The partnership enables Binah.ai to leverage Sapiens' strong global presence and provide Sapiens' customers with seamless access to Binah.ai's software-based health and wellness check technology.
In May 2023, Atidot, a leading InsurTech company, is thrilled to announce the launch of its new and improved platform. This platform is poised to revolutionize the insurance industry with cutting-edge features designed to optimize life insurance analysis of a complete book of business and customer engagement.


Influencing Trend:
Increased Awareness Among Insurers to Access A Broader Segment of the Market and Increased Awareness Among Insurers About Digital Channels

Market Growth Drivers:
Growing Adoption of IoT Products and The shift of Insurers’ Focus From Product-Based to Customer-Centric Strategies

Challenges:
Dearth in of Skilled Workforce

Restraints:
Difficulty to Integrate Insurance Platforms With Legacy Systems

Opportunities:
Adoption of Cloud-Based Digital Solutions By Insurers to Obtain Higher Scalability

Key Target Audience
Life Insurance Platforms Providers, Government Regulatory Bodies, Private Research Organization, Government Research Organization and Others

Report Objectives / Segmentation Covered

By Application
  • Term insurance
  • Whole life insurance
  • Group life insurance
  • Others
By Component
  • Software
  • Service

By End User
  • Insurance companies
  • Aggregators
  • Others

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. Growing Adoption of IoT Products
      • 3.2.2. The shift of Insurers’ Focus From Product-Based to Customer-Centric Strategies
    • 3.3. Market Challenges
      • 3.3.1. Dearth in of Skilled Workforce
    • 3.4. Market Trends
      • 3.4.1. Increased Awareness Among Insurers to Access A Broader Segment of the Market
      • 3.4.2. Increased Awareness Among Insurers About Digital Channels
  • 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 Life Insurance Platforms, by Application, Component, End User and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Life Insurance Platforms (Value)
      • 5.2.1. Global Life Insurance Platforms by: Application (Value)
        • 5.2.1.1. Term insurance
        • 5.2.1.2. Whole life insurance
        • 5.2.1.3. Group life insurance
        • 5.2.1.4. Others
      • 5.2.2. Global Life Insurance Platforms by: Component (Value)
        • 5.2.2.1. Software
        • 5.2.2.2. Service
      • 5.2.3. Global Life Insurance Platforms by: End User (Value)
        • 5.2.3.1. Insurance companies
        • 5.2.3.2. Aggregators
        • 5.2.3.3. Others
      • 5.2.4. Global Life Insurance Platforms 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. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. 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
    • 5.3. Global Life Insurance Platforms (Price)
  • 6. Life Insurance Platforms: 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. Accenture (Ireland)
        • 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. TCS (India)
        • 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. IBM (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. DXC (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. SAP (Germany)
        • 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. Oracle (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. Microsoft (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. Infosys (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. Pegasystems (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. Appian (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. Cognizant (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. Mindtree (India)
        • 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. Prima Solutions (France)
        • 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. Fineos (Ireland)
        • 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. Bolt Solutions (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
  • 7. Global Life Insurance Platforms Sale, by Application, Component, End User and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Life Insurance Platforms (Value)
      • 7.2.1. Global Life Insurance Platforms by: Application (Value)
        • 7.2.1.1. Term insurance
        • 7.2.1.2. Whole life insurance
        • 7.2.1.3. Group life insurance
        • 7.2.1.4. Others
      • 7.2.2. Global Life Insurance Platforms by: Component (Value)
        • 7.2.2.1. Software
        • 7.2.2.2. Service
      • 7.2.3. Global Life Insurance Platforms by: End User (Value)
        • 7.2.3.1. Insurance companies
        • 7.2.3.2. Aggregators
        • 7.2.3.3. Others
      • 7.2.4. Global Life Insurance Platforms 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. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. 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
    • 7.3. Global Life Insurance Platforms (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. Life Insurance Platforms: by Application(USD Million)
  • Table 2. Life Insurance Platforms Term insurance , by Region USD Million (2018-2023)
  • Table 3. Life Insurance Platforms Whole life insurance , by Region USD Million (2018-2023)
  • Table 4. Life Insurance Platforms Group life insurance , by Region USD Million (2018-2023)
  • Table 5. Life Insurance Platforms Others , by Region USD Million (2018-2023)
  • Table 6. Life Insurance Platforms: by Component(USD Million)
  • Table 7. Life Insurance Platforms Software , by Region USD Million (2018-2023)
  • Table 8. Life Insurance Platforms Service , by Region USD Million (2018-2023)
  • Table 9. Life Insurance Platforms: by End User(USD Million)
  • Table 10. Life Insurance Platforms Insurance companies , by Region USD Million (2018-2023)
  • Table 11. Life Insurance Platforms Aggregators , by Region USD Million (2018-2023)
  • Table 12. Life Insurance Platforms Others , by Region USD Million (2018-2023)
  • Table 13. South America Life Insurance Platforms, by Country USD Million (2018-2023)
  • Table 14. South America Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 15. South America Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 16. South America Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 17. Brazil Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 18. Brazil Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 19. Brazil Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 20. Argentina Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 21. Argentina Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 22. Argentina Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 23. Rest of South America Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 24. Rest of South America Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 25. Rest of South America Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 26. Asia Pacific Life Insurance Platforms, by Country USD Million (2018-2023)
  • Table 27. Asia Pacific Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 28. Asia Pacific Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 29. Asia Pacific Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 30. China Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 31. China Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 32. China Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 33. Japan Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 34. Japan Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 35. Japan Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 36. India Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 37. India Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 38. India Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 39. South Korea Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 40. South Korea Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 41. South Korea Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 42. Taiwan Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 43. Taiwan Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 44. Taiwan Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 45. Australia Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 46. Australia Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 47. Australia Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 48. Rest of Asia-Pacific Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 49. Rest of Asia-Pacific Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 50. Rest of Asia-Pacific Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 51. Europe Life Insurance Platforms, by Country USD Million (2018-2023)
  • Table 52. Europe Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 53. Europe Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 54. Europe Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 55. Germany Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 56. Germany Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 57. Germany Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 58. France Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 59. France Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 60. France Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 61. Italy Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 62. Italy Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 63. Italy Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 64. United Kingdom Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 65. United Kingdom Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 66. United Kingdom Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 67. Netherlands Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 68. Netherlands Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 69. Netherlands Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 70. Rest of Europe Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 71. Rest of Europe Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 72. Rest of Europe Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 73. MEA Life Insurance Platforms, by Country USD Million (2018-2023)
  • Table 74. MEA Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 75. MEA Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 76. MEA Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 77. Middle East Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 78. Middle East Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 79. Middle East Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 80. Africa Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 81. Africa Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 82. Africa Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 83. North America Life Insurance Platforms, by Country USD Million (2018-2023)
  • Table 84. North America Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 85. North America Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 86. North America Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 87. United States Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 88. United States Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 89. United States Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 90. Canada Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 91. Canada Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 92. Canada Life Insurance Platforms, by End User USD Million (2018-2023)
  • Table 93. Mexico Life Insurance Platforms, by Application USD Million (2018-2023)
  • Table 94. Mexico Life Insurance Platforms, by Component USD Million (2018-2023)
  • Table 95. Mexico Life Insurance Platforms, by End User USD Million (2018-2023)
  • 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. Life Insurance Platforms: by Application(USD Million)
  • Table 112. Life Insurance Platforms Term insurance , by Region USD Million (2025-2030)
  • Table 113. Life Insurance Platforms Whole life insurance , by Region USD Million (2025-2030)
  • Table 114. Life Insurance Platforms Group life insurance , by Region USD Million (2025-2030)
  • Table 115. Life Insurance Platforms Others , by Region USD Million (2025-2030)
  • Table 116. Life Insurance Platforms: by Component(USD Million)
  • Table 117. Life Insurance Platforms Software , by Region USD Million (2025-2030)
  • Table 118. Life Insurance Platforms Service , by Region USD Million (2025-2030)
  • Table 119. Life Insurance Platforms: by End User(USD Million)
  • Table 120. Life Insurance Platforms Insurance companies , by Region USD Million (2025-2030)
  • Table 121. Life Insurance Platforms Aggregators , by Region USD Million (2025-2030)
  • Table 122. Life Insurance Platforms Others , by Region USD Million (2025-2030)
  • Table 123. South America Life Insurance Platforms, by Country USD Million (2025-2030)
  • Table 124. South America Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 125. South America Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 126. South America Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 127. Brazil Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 128. Brazil Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 129. Brazil Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 130. Argentina Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 131. Argentina Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 132. Argentina Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 133. Rest of South America Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 134. Rest of South America Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 135. Rest of South America Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 136. Asia Pacific Life Insurance Platforms, by Country USD Million (2025-2030)
  • Table 137. Asia Pacific Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 138. Asia Pacific Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 139. Asia Pacific Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 140. China Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 141. China Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 142. China Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 143. Japan Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 144. Japan Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 145. Japan Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 146. India Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 147. India Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 148. India Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 149. South Korea Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 150. South Korea Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 151. South Korea Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 152. Taiwan Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 153. Taiwan Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 154. Taiwan Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 155. Australia Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 156. Australia Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 157. Australia Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 158. Rest of Asia-Pacific Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 159. Rest of Asia-Pacific Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 160. Rest of Asia-Pacific Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 161. Europe Life Insurance Platforms, by Country USD Million (2025-2030)
  • Table 162. Europe Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 163. Europe Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 164. Europe Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 165. Germany Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 166. Germany Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 167. Germany Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 168. France Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 169. France Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 170. France Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 171. Italy Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 172. Italy Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 173. Italy Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 174. United Kingdom Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 175. United Kingdom Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 176. United Kingdom Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 177. Netherlands Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 178. Netherlands Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 179. Netherlands Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 180. Rest of Europe Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 181. Rest of Europe Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 182. Rest of Europe Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 183. MEA Life Insurance Platforms, by Country USD Million (2025-2030)
  • Table 184. MEA Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 185. MEA Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 186. MEA Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 187. Middle East Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 188. Middle East Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 189. Middle East Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 190. Africa Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 191. Africa Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 192. Africa Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 193. North America Life Insurance Platforms, by Country USD Million (2025-2030)
  • Table 194. North America Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 195. North America Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 196. North America Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 197. United States Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 198. United States Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 199. United States Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 200. Canada Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 201. Canada Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 202. Canada Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 203. Mexico Life Insurance Platforms, by Application USD Million (2025-2030)
  • Table 204. Mexico Life Insurance Platforms, by Component USD Million (2025-2030)
  • Table 205. Mexico Life Insurance Platforms, by End User USD Million (2025-2030)
  • Table 206. Research Programs/Design for This Report
  • Table 207. Key Data Information from Secondary Sources
  • Table 208. 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 Life Insurance Platforms: by Application USD Million (2018-2023)
  • Figure 5. Global Life Insurance Platforms: by Component USD Million (2018-2023)
  • Figure 6. Global Life Insurance Platforms: by End User USD Million (2018-2023)
  • Figure 7. South America Life Insurance Platforms Share (%), by Country
  • Figure 8. Asia Pacific Life Insurance Platforms Share (%), by Country
  • Figure 9. Europe Life Insurance Platforms Share (%), by Country
  • Figure 10. MEA Life Insurance Platforms Share (%), by Country
  • Figure 11. North America Life Insurance Platforms Share (%), by Country
  • Figure 12. Global Life Insurance Platforms share by Players 2023 (%)
  • Figure 13. Global Life Insurance Platforms share by Players (Top 3) 2023(%)
  • Figure 14. Global Life Insurance Platforms share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Accenture (Ireland) Revenue, Net Income and Gross profit
  • Figure 17. Accenture (Ireland) Revenue: by Geography 2023
  • Figure 18. TCS (India) Revenue, Net Income and Gross profit
  • Figure 19. TCS (India) Revenue: by Geography 2023
  • Figure 20. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM (United States) Revenue: by Geography 2023
  • Figure 22. DXC (United States) Revenue, Net Income and Gross profit
  • Figure 23. DXC (United States) Revenue: by Geography 2023
  • Figure 24. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 25. SAP (Germany) Revenue: by Geography 2023
  • Figure 26. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 27. Oracle (United States) Revenue: by Geography 2023
  • Figure 28. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 29. Microsoft (United States) Revenue: by Geography 2023
  • Figure 30. Infosys (India) Revenue, Net Income and Gross profit
  • Figure 31. Infosys (India) Revenue: by Geography 2023
  • Figure 32. Pegasystems (United States) Revenue, Net Income and Gross profit
  • Figure 33. Pegasystems (United States) Revenue: by Geography 2023
  • Figure 34. Appian (United States) Revenue, Net Income and Gross profit
  • Figure 35. Appian (United States) Revenue: by Geography 2023
  • Figure 36. Cognizant (United States) Revenue, Net Income and Gross profit
  • Figure 37. Cognizant (United States) Revenue: by Geography 2023
  • Figure 38. Mindtree (India) Revenue, Net Income and Gross profit
  • Figure 39. Mindtree (India) Revenue: by Geography 2023
  • Figure 40. Prima Solutions (France) Revenue, Net Income and Gross profit
  • Figure 41. Prima Solutions (France) Revenue: by Geography 2023
  • Figure 42. Fineos (Ireland) Revenue, Net Income and Gross profit
  • Figure 43. Fineos (Ireland) Revenue: by Geography 2023
  • Figure 44. Bolt Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 45. Bolt Solutions (United States) Revenue: by Geography 2023
  • Figure 46. Global Life Insurance Platforms: by Application USD Million (2025-2030)
  • Figure 47. Global Life Insurance Platforms: by Component USD Million (2025-2030)
  • Figure 48. Global Life Insurance Platforms: by End User USD Million (2025-2030)
  • Figure 49. South America Life Insurance Platforms Share (%), by Country
  • Figure 50. Asia Pacific Life Insurance Platforms Share (%), by Country
  • Figure 51. Europe Life Insurance Platforms Share (%), by Country
  • Figure 52. MEA Life Insurance Platforms Share (%), by Country
  • Figure 53. North America Life Insurance Platforms Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Accenture (Ireland)
  • TCS (India)
  • IBM (United States)
  • DXC (United States)
  • SAP (Germany)
  • Oracle (United States)
  • Microsoft (United States)
  • Infosys (India)
  • Pegasystems (United States)
  • Appian (United States)
  • Cognizant (United States)
  • Mindtree (India)
  • Prima Solutions (France)
  • Fineos (Ireland)
  • Bolt Solutions (United States)
Additional players considered in the study are as follows:
Fineos (Ireland) , Bolt Solutions (United States) , Majesco (United States) , EIS Group (United States) , Cogitate Technology Solutions (United States)
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Key Highlights of Report


Apr 2024 223 Pages 95 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Life Insurance Platforms Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in Life Insurance Platforms Market are by end use application [Term insurance, Whole life insurance, Group life insurance and Others].
The Life Insurance Platforms Market is gaining popularity and expected to see strong valuation by 2030.
  • Growing Adoption of IoT Products
  • The shift of Insurers’ Focus From Product-Based to Customer-Centric Strategies

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