Global Insurance Analytics - Market

Insurance Analytics - Comprehensive Study by Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics), Application (Claim management, Risk management, Process optimization, Customer management and personalization, Others), Deployment Mode (Cloud-Based, On-premises), End User (Insurance Companies, Government Agencies, Third-Party Administrators, Brokers, and Consultancies) Players and Region - Global Market Outlook to 2026

Insurance Analytics - Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Insurance Analytics - Market Scope
Insurance analytics analyzes insurance-related data. Insurance companies use these solutions to reduce fraudulent activity, drive customer interactions, price their products and automate product recommendations. Insurance agencies leverage these solutions to inform strategic decision-making, enable the self-service of policies, identify potential opportunities for cost savings, and price premiums. Besides, insurance analytics carries out deep data analysis on customer and operational data, allowing organizations to become more efficient and effective. Insurance analytics solutions connect to various data sources within an insurance agency. These solutions also typically integrate with financial services CRM software.

The Insurance Analytics - market study is segmented by Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics), by Application (Claim management, Risk management, Process optimization, Customer management and personalization and Others) and major geographies with country level break-up.

Tableau (Salesforce) (United States), RapidMiner, Inc. (United States), SAS (Germany), Majesco (United States), MFX (United States), Applied (United States), Zwave (United States), Earnix Ltd. (Israel), InsuredMine, Inc. (United States) and Quantemplate (United Kingdom) 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 total available market.

Segmentation Overview
AMA Research has segmented the market of Global Insurance Analytics - market by Type, Application and Region.

On the basis of geography, the market of Insurance Analytics - 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).

On 25 Sept 2019, Salesforce releases data analytics software to the insurance industry. The platform now integrates several technologies and AI capabilities to provide insurance companies with what the firm calls a “360-degree view” of its customers.


Market Trend
  • The Growing Popularity of Cloud-Based Solutions

Market Drivers
  • Rapid Adoption of Data-Driven Decision-Making
  • The Complexity of Risk Is Rising Due To Climate Change, Terrorism and Cybercrime
  • Lack of Integration with Legacy Systems
  • The Rapidly Growing Insurance Sector
  • Regulatory Pressure is Also Fueling the Demand

Opportunities
  • Increasing Adoption of IoT Insurance

Restraints
  • Data quality and security issues


Key Target Audience
Insurance Analytics Providers, Insurance Companies, Regulatory & Government Bodies, Potential Technology Investors, Upstream and Downstream Vendors, End Users and Others

Report Objectives / Segmentation Covered

By Type
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
By Application
  • Claim management
  • Risk management
  • Process optimization
  • Customer management and personalization
  • Others
By Deployment Mode
  • Cloud-Based
  • On-premises

By End User
  • Insurance Companies
  • Government Agencies
  • Third-Party Administrators, Brokers, and Consultancies

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. Rapid Adoption of Data-Driven Decision-Making
      • 3.2.2. The Complexity of Risk Is Rising Due To Climate Change, Terrorism and Cybercrime
      • 3.2.3. Lack of Integration with Legacy Systems
      • 3.2.4. The Rapidly Growing Insurance Sector
      • 3.2.5. Regulatory Pressure is Also Fueling the Demand
    • 3.3. Market Trends
      • 3.3.1. The Growing Popularity of Cloud-Based Solutions
  • 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 Insurance Analytics -, by Type, Application, Deployment Mode, End User and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Insurance Analytics - (Value)
      • 5.2.1. Global Insurance Analytics - by: Type (Value)
        • 5.2.1.1. Descriptive Analytics
        • 5.2.1.2. Diagnostic Analytics
        • 5.2.1.3. Predictive Analytics
        • 5.2.1.4. Prescriptive Analytics
      • 5.2.2. Global Insurance Analytics - by: Application (Value)
        • 5.2.2.1. Claim management
        • 5.2.2.2. Risk management
        • 5.2.2.3. Process optimization
        • 5.2.2.4. Customer management and personalization
        • 5.2.2.5. Others
      • 5.2.3. Global Insurance Analytics - by: Deployment Mode (Value)
        • 5.2.3.1. Cloud-Based
        • 5.2.3.2. On-premises
      • 5.2.4. Global Insurance Analytics - by: End User (Value)
        • 5.2.4.1. Insurance Companies
        • 5.2.4.2. Government Agencies
        • 5.2.4.3. Third-Party Administrators, Brokers, and Consultancies
      • 5.2.5. Global Insurance Analytics - 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
  • 6. Insurance Analytics -: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Tableau (Salesforce) (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. RapidMiner, Inc. (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. SAS (Germany)
        • 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. Majesco (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. MFX (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. Applied (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. Zwave (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. Earnix Ltd. (Israel)
        • 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. InsuredMine, Inc. (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. Quantemplate (United Kingdom)
        • 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
  • 7. Global Insurance Analytics - Sale, by Type, Application, Deployment Mode, End User and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Insurance Analytics - (Value)
      • 7.2.1. Global Insurance Analytics - by: Type (Value)
        • 7.2.1.1. Descriptive Analytics
        • 7.2.1.2. Diagnostic Analytics
        • 7.2.1.3. Predictive Analytics
        • 7.2.1.4. Prescriptive Analytics
      • 7.2.2. Global Insurance Analytics - by: Application (Value)
        • 7.2.2.1. Claim management
        • 7.2.2.2. Risk management
        • 7.2.2.3. Process optimization
        • 7.2.2.4. Customer management and personalization
        • 7.2.2.5. Others
      • 7.2.3. Global Insurance Analytics - by: Deployment Mode (Value)
        • 7.2.3.1. Cloud-Based
        • 7.2.3.2. On-premises
      • 7.2.4. Global Insurance Analytics - by: End User (Value)
        • 7.2.4.1. Insurance Companies
        • 7.2.4.2. Government Agencies
        • 7.2.4.3. Third-Party Administrators, Brokers, and Consultancies
      • 7.2.5. Global Insurance Analytics - 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
  • 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. Insurance Analytics -: by Type(USD Million)
  • Table 2. Insurance Analytics - Descriptive Analytics , by Region USD Million (2015-2020)
  • Table 3. Insurance Analytics - Diagnostic Analytics , by Region USD Million (2015-2020)
  • Table 4. Insurance Analytics - Predictive Analytics , by Region USD Million (2015-2020)
  • Table 5. Insurance Analytics - Prescriptive Analytics , by Region USD Million (2015-2020)
  • Table 6. Insurance Analytics -: by Application(USD Million)
  • Table 7. Insurance Analytics - Claim management , by Region USD Million (2015-2020)
  • Table 8. Insurance Analytics - Risk management , by Region USD Million (2015-2020)
  • Table 9. Insurance Analytics - Process optimization , by Region USD Million (2015-2020)
  • Table 10. Insurance Analytics - Customer management and personalization , by Region USD Million (2015-2020)
  • Table 11. Insurance Analytics - Others , by Region USD Million (2015-2020)
  • Table 12. Insurance Analytics -: by Deployment Mode(USD Million)
  • Table 13. Insurance Analytics - Cloud-Based , by Region USD Million (2015-2020)
  • Table 14. Insurance Analytics - On-premises , by Region USD Million (2015-2020)
  • Table 15. Insurance Analytics -: by End User(USD Million)
  • Table 16. Insurance Analytics - Insurance Companies , by Region USD Million (2015-2020)
  • Table 17. Insurance Analytics - Government Agencies , by Region USD Million (2015-2020)
  • Table 18. Insurance Analytics - Third-Party Administrators, Brokers, and Consultancies , by Region USD Million (2015-2020)
  • Table 19. South America Insurance Analytics -, by Country USD Million (2015-2020)
  • Table 20. South America Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 21. South America Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 22. South America Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 23. South America Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 24. Brazil Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 25. Brazil Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 26. Brazil Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 27. Brazil Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 28. Argentina Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 29. Argentina Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 30. Argentina Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 31. Argentina Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 32. Rest of South America Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 33. Rest of South America Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 34. Rest of South America Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 35. Rest of South America Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 36. Asia Pacific Insurance Analytics -, by Country USD Million (2015-2020)
  • Table 37. Asia Pacific Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 38. Asia Pacific Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 39. Asia Pacific Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 40. Asia Pacific Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 41. China Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 42. China Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 43. China Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 44. China Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 45. Japan Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 46. Japan Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 47. Japan Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 48. Japan Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 49. India Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 50. India Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 51. India Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 52. India Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 53. South Korea Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 54. South Korea Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 55. South Korea Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 56. South Korea Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 57. Taiwan Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 58. Taiwan Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 59. Taiwan Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 60. Taiwan Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 61. Australia Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 62. Australia Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 63. Australia Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 64. Australia Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 66. Rest of Asia-Pacific Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 69. Europe Insurance Analytics -, by Country USD Million (2015-2020)
  • Table 70. Europe Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 71. Europe Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 72. Europe Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 73. Europe Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 74. Germany Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 75. Germany Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 76. Germany Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 77. Germany Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 78. France Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 79. France Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 80. France Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 81. France Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 82. Italy Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 83. Italy Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 84. Italy Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 85. Italy Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 86. United Kingdom Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 87. United Kingdom Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 88. United Kingdom Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 89. United Kingdom Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 90. Netherlands Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 91. Netherlands Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 92. Netherlands Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 93. Netherlands Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 94. Rest of Europe Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 95. Rest of Europe Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 96. Rest of Europe Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 97. Rest of Europe Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 98. MEA Insurance Analytics -, by Country USD Million (2015-2020)
  • Table 99. MEA Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 100. MEA Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 101. MEA Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 102. MEA Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 103. Middle East Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 104. Middle East Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 105. Middle East Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 106. Middle East Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 107. Africa Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 108. Africa Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 109. Africa Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 110. Africa Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 111. North America Insurance Analytics -, by Country USD Million (2015-2020)
  • Table 112. North America Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 113. North America Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 114. North America Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 115. North America Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 116. United States Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 117. United States Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 118. United States Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 119. United States Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 120. Canada Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 121. Canada Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 122. Canada Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 123. Canada Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 124. Mexico Insurance Analytics -, by Type USD Million (2015-2020)
  • Table 125. Mexico Insurance Analytics -, by Application USD Million (2015-2020)
  • Table 126. Mexico Insurance Analytics -, by Deployment Mode USD Million (2015-2020)
  • Table 127. Mexico Insurance Analytics -, by End User USD Million (2015-2020)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Figure 17. Tableau (Salesforce) (United States) Revenue, Net Income and Gross profit
  • Figure 18. Tableau (Salesforce) (United States) Revenue: by Geography 2020
  • 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. Insurance Analytics -: by Type(USD Million)
  • Table 139. Insurance Analytics - Descriptive Analytics , by Region USD Million (2021-2026)
  • Table 140. Insurance Analytics - Diagnostic Analytics , by Region USD Million (2021-2026)
  • Table 141. Insurance Analytics - Predictive Analytics , by Region USD Million (2021-2026)
  • Table 142. Insurance Analytics - Prescriptive Analytics , by Region USD Million (2021-2026)
  • Table 143. Insurance Analytics -: by Application(USD Million)
  • Table 144. Insurance Analytics - Claim management , by Region USD Million (2021-2026)
  • Table 145. Insurance Analytics - Risk management , by Region USD Million (2021-2026)
  • Table 146. Insurance Analytics - Process optimization , by Region USD Million (2021-2026)
  • Table 147. Insurance Analytics - Customer management and personalization , by Region USD Million (2021-2026)
  • Table 148. Insurance Analytics - Others , by Region USD Million (2021-2026)
  • Table 149. Insurance Analytics -: by Deployment Mode(USD Million)
  • Table 150. Insurance Analytics - Cloud-Based , by Region USD Million (2021-2026)
  • Table 151. Insurance Analytics - On-premises , by Region USD Million (2021-2026)
  • Table 152. Insurance Analytics -: by End User(USD Million)
  • Table 153. Insurance Analytics - Insurance Companies , by Region USD Million (2021-2026)
  • Table 154. Insurance Analytics - Government Agencies , by Region USD Million (2021-2026)
  • Table 155. Insurance Analytics - Third-Party Administrators, Brokers, and Consultancies , by Region USD Million (2021-2026)
  • Table 156. South America Insurance Analytics -, by Country USD Million (2021-2026)
  • Table 157. South America Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 158. South America Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 159. South America Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 160. South America Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 161. Brazil Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 162. Brazil Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 163. Brazil Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 164. Brazil Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 165. Argentina Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 166. Argentina Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 167. Argentina Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 168. Argentina Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 169. Rest of South America Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 170. Rest of South America Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 171. Rest of South America Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 172. Rest of South America Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 173. Asia Pacific Insurance Analytics -, by Country USD Million (2021-2026)
  • Table 174. Asia Pacific Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 175. Asia Pacific Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 176. Asia Pacific Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 177. Asia Pacific Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 178. China Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 179. China Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 180. China Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 181. China Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 182. Japan Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 183. Japan Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 184. Japan Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 185. Japan Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 186. India Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 187. India Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 188. India Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 189. India Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 190. South Korea Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 191. South Korea Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 192. South Korea Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 193. South Korea Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 194. Taiwan Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 195. Taiwan Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 196. Taiwan Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 197. Taiwan Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 198. Australia Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 199. Australia Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 200. Australia Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 201. Australia Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 202. Rest of Asia-Pacific Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 203. Rest of Asia-Pacific Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 204. Rest of Asia-Pacific Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 205. Rest of Asia-Pacific Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 206. Europe Insurance Analytics -, by Country USD Million (2021-2026)
  • Table 207. Europe Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 208. Europe Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 209. Europe Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 210. Europe Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 211. Germany Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 212. Germany Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 213. Germany Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 214. Germany Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 215. France Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 216. France Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 217. France Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 218. France Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 219. Italy Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 220. Italy Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 221. Italy Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 222. Italy Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 223. United Kingdom Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 224. United Kingdom Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 225. United Kingdom Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 226. United Kingdom Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 227. Netherlands Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 228. Netherlands Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 229. Netherlands Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 230. Netherlands Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 231. Rest of Europe Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 232. Rest of Europe Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 233. Rest of Europe Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 234. Rest of Europe Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 235. MEA Insurance Analytics -, by Country USD Million (2021-2026)
  • Table 236. MEA Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 237. MEA Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 238. MEA Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 239. MEA Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 240. Middle East Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 241. Middle East Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 242. Middle East Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 243. Middle East Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 244. Africa Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 245. Africa Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 246. Africa Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 247. Africa Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 248. North America Insurance Analytics -, by Country USD Million (2021-2026)
  • Table 249. North America Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 250. North America Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 251. North America Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 252. North America Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 253. United States Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 254. United States Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 255. United States Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 256. United States Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 257. Canada Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 258. Canada Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 259. Canada Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 260. Canada Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 261. Mexico Insurance Analytics -, by Type USD Million (2021-2026)
  • Table 262. Mexico Insurance Analytics -, by Application USD Million (2021-2026)
  • Table 263. Mexico Insurance Analytics -, by Deployment Mode USD Million (2021-2026)
  • Table 264. Mexico Insurance Analytics -, by End User USD Million (2021-2026)
  • Table 265. Research Programs/Design for This Report
  • Table 266. Key Data Information from Secondary Sources
  • Table 267. 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 Insurance Analytics -: by Type USD Million (2015-2020)
  • Figure 5. Global Insurance Analytics -: by Application USD Million (2015-2020)
  • Figure 6. Global Insurance Analytics -: by Deployment Mode USD Million (2015-2020)
  • Figure 7. Global Insurance Analytics -: by End User USD Million (2015-2020)
  • Figure 8. South America Insurance Analytics - Share (%), by Country
  • Figure 9. Asia Pacific Insurance Analytics - Share (%), by Country
  • Figure 10. Europe Insurance Analytics - Share (%), by Country
  • Figure 11. MEA Insurance Analytics - Share (%), by Country
  • Figure 12. North America Insurance Analytics - Share (%), by Country
  • Figure 13. Global Insurance Analytics - share by Players 2020 (%)
  • Figure 14. Global Insurance Analytics - share by Players (Top 3) 2020(%)
  • Figure 15. Global Insurance Analytics - share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 19. RapidMiner, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. RapidMiner, Inc. (United States) Revenue: by Geography 2020
  • Figure 21. SAS (Germany) Revenue, Net Income and Gross profit
  • Figure 22. SAS (Germany) Revenue: by Geography 2020
  • Figure 23. Majesco (United States) Revenue, Net Income and Gross profit
  • Figure 24. Majesco (United States) Revenue: by Geography 2020
  • Figure 25. MFX (United States) Revenue, Net Income and Gross profit
  • Figure 26. MFX (United States) Revenue: by Geography 2020
  • Figure 27. Applied (United States) Revenue, Net Income and Gross profit
  • Figure 28. Applied (United States) Revenue: by Geography 2020
  • Figure 29. Zwave (United States) Revenue, Net Income and Gross profit
  • Figure 30. Zwave (United States) Revenue: by Geography 2020
  • Figure 31. Earnix Ltd. (Israel) Revenue, Net Income and Gross profit
  • Figure 32. Earnix Ltd. (Israel) Revenue: by Geography 2020
  • Figure 33. InsuredMine, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. InsuredMine, Inc. (United States) Revenue: by Geography 2020
  • Figure 35. Quantemplate (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 36. Quantemplate (United Kingdom) Revenue: by Geography 2020
  • Figure 37. Global Insurance Analytics -: by Type USD Million (2021-2026)
  • Figure 38. Global Insurance Analytics -: by Application USD Million (2021-2026)
  • Figure 39. Global Insurance Analytics -: by Deployment Mode USD Million (2021-2026)
  • Figure 40. Global Insurance Analytics -: by End User USD Million (2021-2026)
  • Figure 41. South America Insurance Analytics - Share (%), by Country
  • Figure 42. Asia Pacific Insurance Analytics - Share (%), by Country
  • Figure 43. Europe Insurance Analytics - Share (%), by Country
  • Figure 44. MEA Insurance Analytics - Share (%), by Country
  • Figure 45. North America Insurance Analytics - Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Tableau (Salesforce) (United States)
  • RapidMiner, Inc. (United States)
  • SAS (Germany)
  • Majesco (United States)
  • MFX (United States)
  • Applied (United States)
  • Zwave (United States)
  • Earnix Ltd. (Israel)
  • InsuredMine, Inc. (United States)
  • Quantemplate (United Kingdom)
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Key Highlights of Report


Nov 2021 210 Pages 57 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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