Global Insurance Analytics Software

Insurance Analytics Software Comprehensive Study by Deployment Mode (Cloud-Based, On-premises), Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), End User (Insurance Companies, Government Agencies, Third-Party Administrators, Brokers, and Consultancies) Players and Region - Global Market Outlook to 2030

Insurance Analytics Software Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 11.9%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Insurance analytics software 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 software 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. According to AMA Research, the market for Insurance Analytics Software is expected to register a CAGR of 11.9% during the forecast period to 2030. This growth is primarily driven by Rapid Adoption of Data-Driven Decision-Making .

AttributesDetails
Study Period2018-2030
Base Year2023
Forecast Period2024-2030
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Internet Software & Services sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as 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), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In December 2023 – Duck Creek Technologies, the intelligent solutions provider defining the future of property and casualty (P&C) and general insurance, announces the release of Duck Creek ClarityTM, an innovative, cloud-native technology solution and the successor to Duck Creek Insights.
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.The key manufacturers are targeting the innovations of the products with better quality, and better technical characteristics, and also assist in providing and humanizing the after-sale service to the consumers. The key players are probable to keep a stronghold on the market over the anticipated period. The key players are accepting strategic decisions and are thinking about mergers and acquisitions to maintain their presence in the market

Influencing Trend:
The Growing Popularity of Cloud-Based Solutions

Market Growth Drivers:
Rapid Adoption of Data-Driven Decision-Making, Lack of Integration with Legacy Systems, The Rapidly Growing Insurance Sector and Regulatory Pressure is Also Fueling the Demand

Challenges:
Data quality and security issues

Restraints:
High Complexity

Opportunities:
Increasing Adoption of IoT Insurance

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Insurance Analytics Software Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Insurance Analytics Software Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Insurance Analytics Software players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Insurance Analytics Software Study Sheds Light on
— The Insurance Analytics Software Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Insurance Analytics Software industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Insurance Analytics Software industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Deployment Mode
  • Cloud-Based
  • On-premises

By Organization Size
  • Small and Medium-Sized Enterprises
  • Large Enterprises

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. Lack of Integration with Legacy Systems
      • 3.2.3. The Rapidly Growing Insurance Sector
      • 3.2.4. Regulatory Pressure is Also Fueling the Demand
    • 3.3. Market Challenges
      • 3.3.1. Data quality and security issues
    • 3.4. Market Trends
      • 3.4.1. 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 Software, by Deployment Mode, Organization Size, End User and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Insurance Analytics Software (Value)
      • 5.2.1. Global Insurance Analytics Software by: Deployment Mode (Value)
        • 5.2.1.1. Cloud-Based
        • 5.2.1.2. On-premises
      • 5.2.2. Global Insurance Analytics Software by: Organization Size (Value)
        • 5.2.2.1. Small and Medium-Sized Enterprises
        • 5.2.2.2. Large Enterprises
      • 5.2.3. Global Insurance Analytics Software by: End User (Value)
        • 5.2.3.1. Insurance Companies
        • 5.2.3.2. Government Agencies
        • 5.2.3.3. Third-Party Administrators, Brokers, and Consultancies
      • 5.2.4. Global Insurance Analytics Software 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 Insurance Analytics Software (Price)
  • 6. Insurance Analytics Software: 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. 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 Software Sale, by Deployment Mode, Organization Size, End User and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Insurance Analytics Software (Value)
      • 7.2.1. Global Insurance Analytics Software by: Deployment Mode (Value)
        • 7.2.1.1. Cloud-Based
        • 7.2.1.2. On-premises
      • 7.2.2. Global Insurance Analytics Software by: Organization Size (Value)
        • 7.2.2.1. Small and Medium-Sized Enterprises
        • 7.2.2.2. Large Enterprises
      • 7.2.3. Global Insurance Analytics Software by: End User (Value)
        • 7.2.3.1. Insurance Companies
        • 7.2.3.2. Government Agencies
        • 7.2.3.3. Third-Party Administrators, Brokers, and Consultancies
      • 7.2.4. Global Insurance Analytics Software 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 Insurance Analytics Software (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. Insurance Analytics Software: by Deployment Mode(USD Million)
  • Table 2. Insurance Analytics Software Cloud-Based , by Region USD Million (2018-2023)
  • Table 3. Insurance Analytics Software On-premises , by Region USD Million (2018-2023)
  • Table 4. Insurance Analytics Software: by Organization Size(USD Million)
  • Table 5. Insurance Analytics Software Small and Medium-Sized Enterprises , by Region USD Million (2018-2023)
  • Table 6. Insurance Analytics Software Large Enterprises , by Region USD Million (2018-2023)
  • Table 7. Insurance Analytics Software: by End User(USD Million)
  • Table 8. Insurance Analytics Software Insurance Companies , by Region USD Million (2018-2023)
  • Table 9. Insurance Analytics Software Government Agencies , by Region USD Million (2018-2023)
  • Table 10. Insurance Analytics Software Third-Party Administrators, Brokers, and Consultancies , by Region USD Million (2018-2023)
  • Table 11. South America Insurance Analytics Software, by Country USD Million (2018-2023)
  • Table 12. South America Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 13. South America Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 14. South America Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 15. Brazil Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 16. Brazil Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 17. Brazil Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 18. Argentina Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 19. Argentina Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 20. Argentina Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 21. Rest of South America Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 22. Rest of South America Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 23. Rest of South America Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 24. Asia Pacific Insurance Analytics Software, by Country USD Million (2018-2023)
  • Table 25. Asia Pacific Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 26. Asia Pacific Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 27. Asia Pacific Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 28. China Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 29. China Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 30. China Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 31. Japan Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 32. Japan Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 33. Japan Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 34. India Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 35. India Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 36. India Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 37. South Korea Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 38. South Korea Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 39. South Korea Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 40. Taiwan Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 41. Taiwan Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 42. Taiwan Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 43. Australia Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 44. Australia Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 45. Australia Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 46. Rest of Asia-Pacific Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 47. Rest of Asia-Pacific Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 48. Rest of Asia-Pacific Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 49. Europe Insurance Analytics Software, by Country USD Million (2018-2023)
  • Table 50. Europe Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 51. Europe Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 52. Europe Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 53. Germany Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 54. Germany Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 55. Germany Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 56. France Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 57. France Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 58. France Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 59. Italy Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 60. Italy Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 61. Italy Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 62. United Kingdom Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 63. United Kingdom Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 64. United Kingdom Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 65. Netherlands Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 66. Netherlands Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 67. Netherlands Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 68. Rest of Europe Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 69. Rest of Europe Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 70. Rest of Europe Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 71. MEA Insurance Analytics Software, by Country USD Million (2018-2023)
  • Table 72. MEA Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 73. MEA Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 74. MEA Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 75. Middle East Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 76. Middle East Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 77. Middle East Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 78. Africa Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 79. Africa Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 80. Africa Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 81. North America Insurance Analytics Software, by Country USD Million (2018-2023)
  • Table 82. North America Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 83. North America Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 84. North America Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 85. United States Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 86. United States Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 87. United States Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 88. Canada Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 89. Canada Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 90. Canada Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 91. Mexico Insurance Analytics Software, by Deployment Mode USD Million (2018-2023)
  • Table 92. Mexico Insurance Analytics Software, by Organization Size USD Million (2018-2023)
  • Table 93. Mexico Insurance Analytics Software, by End User USD Million (2018-2023)
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Figure 16. Tableau (Salesforce) (United States) Revenue, Net Income and Gross profit
  • Figure 17. Tableau (Salesforce) (United States) Revenue: by Geography 2023
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Insurance Analytics Software: by Deployment Mode(USD Million)
  • Table 105. Insurance Analytics Software Cloud-Based , by Region USD Million (2025-2030)
  • Table 106. Insurance Analytics Software On-premises , by Region USD Million (2025-2030)
  • Table 107. Insurance Analytics Software: by Organization Size(USD Million)
  • Table 108. Insurance Analytics Software Small and Medium-Sized Enterprises , by Region USD Million (2025-2030)
  • Table 109. Insurance Analytics Software Large Enterprises , by Region USD Million (2025-2030)
  • Table 110. Insurance Analytics Software: by End User(USD Million)
  • Table 111. Insurance Analytics Software Insurance Companies , by Region USD Million (2025-2030)
  • Table 112. Insurance Analytics Software Government Agencies , by Region USD Million (2025-2030)
  • Table 113. Insurance Analytics Software Third-Party Administrators, Brokers, and Consultancies , by Region USD Million (2025-2030)
  • Table 114. South America Insurance Analytics Software, by Country USD Million (2025-2030)
  • Table 115. South America Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 116. South America Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 117. South America Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 118. Brazil Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 119. Brazil Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 120. Brazil Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 121. Argentina Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 122. Argentina Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 123. Argentina Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 124. Rest of South America Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 125. Rest of South America Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 126. Rest of South America Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 127. Asia Pacific Insurance Analytics Software, by Country USD Million (2025-2030)
  • Table 128. Asia Pacific Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 129. Asia Pacific Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 130. Asia Pacific Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 131. China Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 132. China Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 133. China Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 134. Japan Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 135. Japan Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 136. Japan Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 137. India Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 138. India Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 139. India Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 140. South Korea Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 141. South Korea Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 142. South Korea Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 143. Taiwan Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 144. Taiwan Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 145. Taiwan Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 146. Australia Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 147. Australia Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 148. Australia Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 149. Rest of Asia-Pacific Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 150. Rest of Asia-Pacific Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 151. Rest of Asia-Pacific Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 152. Europe Insurance Analytics Software, by Country USD Million (2025-2030)
  • Table 153. Europe Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 154. Europe Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 155. Europe Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 156. Germany Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 157. Germany Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 158. Germany Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 159. France Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 160. France Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 161. France Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 162. Italy Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 163. Italy Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 164. Italy Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 165. United Kingdom Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 166. United Kingdom Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 167. United Kingdom Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 168. Netherlands Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 169. Netherlands Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 170. Netherlands Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 171. Rest of Europe Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 172. Rest of Europe Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 173. Rest of Europe Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 174. MEA Insurance Analytics Software, by Country USD Million (2025-2030)
  • Table 175. MEA Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 176. MEA Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 177. MEA Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 178. Middle East Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 179. Middle East Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 180. Middle East Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 181. Africa Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 182. Africa Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 183. Africa Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 184. North America Insurance Analytics Software, by Country USD Million (2025-2030)
  • Table 185. North America Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 186. North America Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 187. North America Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 188. United States Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 189. United States Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 190. United States Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 191. Canada Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 192. Canada Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 193. Canada Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 194. Mexico Insurance Analytics Software, by Deployment Mode USD Million (2025-2030)
  • Table 195. Mexico Insurance Analytics Software, by Organization Size USD Million (2025-2030)
  • Table 196. Mexico Insurance Analytics Software, by End User USD Million (2025-2030)
  • Table 197. Research Programs/Design for This Report
  • Table 198. Key Data Information from Secondary Sources
  • Table 199. 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 Software: by Deployment Mode USD Million (2018-2023)
  • Figure 5. Global Insurance Analytics Software: by Organization Size USD Million (2018-2023)
  • Figure 6. Global Insurance Analytics Software: by End User USD Million (2018-2023)
  • Figure 7. South America Insurance Analytics Software Share (%), by Country
  • Figure 8. Asia Pacific Insurance Analytics Software Share (%), by Country
  • Figure 9. Europe Insurance Analytics Software Share (%), by Country
  • Figure 10. MEA Insurance Analytics Software Share (%), by Country
  • Figure 11. North America Insurance Analytics Software Share (%), by Country
  • Figure 12. Global Insurance Analytics Software share by Players 2023 (%)
  • Figure 13. Global Insurance Analytics Software share by Players (Top 3) 2023(%)
  • Figure 14. Global Insurance Analytics Software share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 18. RapidMiner, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 19. RapidMiner, Inc. (United States) Revenue: by Geography 2023
  • Figure 20. SAS (Germany) Revenue, Net Income and Gross profit
  • Figure 21. SAS (Germany) Revenue: by Geography 2023
  • Figure 22. Majesco (United States) Revenue, Net Income and Gross profit
  • Figure 23. Majesco (United States) Revenue: by Geography 2023
  • Figure 24. MFX (United States) Revenue, Net Income and Gross profit
  • Figure 25. MFX (United States) Revenue: by Geography 2023
  • Figure 26. Applied (United States) Revenue, Net Income and Gross profit
  • Figure 27. Applied (United States) Revenue: by Geography 2023
  • Figure 28. Zwave (United States) Revenue, Net Income and Gross profit
  • Figure 29. Zwave (United States) Revenue: by Geography 2023
  • Figure 30. Earnix Ltd. (Israel) Revenue, Net Income and Gross profit
  • Figure 31. Earnix Ltd. (Israel) Revenue: by Geography 2023
  • Figure 32. InsuredMine, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. InsuredMine, Inc. (United States) Revenue: by Geography 2023
  • Figure 34. Quantemplate (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 35. Quantemplate (United Kingdom) Revenue: by Geography 2023
  • Figure 36. Global Insurance Analytics Software: by Deployment Mode USD Million (2025-2030)
  • Figure 37. Global Insurance Analytics Software: by Organization Size USD Million (2025-2030)
  • Figure 38. Global Insurance Analytics Software: by End User USD Million (2025-2030)
  • Figure 39. South America Insurance Analytics Software Share (%), by Country
  • Figure 40. Asia Pacific Insurance Analytics Software Share (%), by Country
  • Figure 41. Europe Insurance Analytics Software Share (%), by Country
  • Figure 42. MEA Insurance Analytics Software Share (%), by Country
  • Figure 43. North America Insurance Analytics Software 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


Mar 2024 158 Pages 66 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Historical year: 2018-2023; Base year: 2023; Forecast period: 2024 to 2030
Companies that are profiled in Global Insurance Analytics Software Market are 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) etc.
AMA Research predicts that United States Players will contribute to the maximum growth of Global Insurance Analytics Software market throughout the forecasted period.

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