The insurance analytics market size has grown rapidly in recent years. It will grow from $16.62 billion in 2025 to $19.62 billion in 2026 at a compound annual growth rate (CAGR) of 18%. The growth in the historic period can be attributed to increasing digitization of insurance operations, rising complexity of insurance products, expansion of customer data sources, growing focus on underwriting accuracy, adoption of analytics-driven decision tools.
The insurance analytics market size is expected to see rapid growth in the next few years. It will grow to $38.03 billion in 2030 at a compound annual growth rate (CAGR) of 18%. The growth in the forecast period can be attributed to increasing deployment of ai-based insurance analytics, rising demand for personalized insurance offerings, expansion of cloud-based analytics platforms, growing focus on real-time risk monitoring, increasing investments in advanced insurance data ecosystems. Major trends in the forecast period include increasing use of predictive risk analytics, rising adoption of fraud detection models, growing focus on customer behavior analytics, expansion of real-time claims analytics, enhanced integration of advanced data platforms.
The rise in insurance fraud is expected to propel the growth of the insurance analytics market. Insurance fraud involves the intentional deception of an insurer for financial gain through false claims or misrepresented information. The increase in insurance fraud is driven by the growing complexity of fraud schemes and the expansion of digital channels, which enable deceit across the insurance value chain. The insurance analytics market addresses this challenge by enabling insurers to deploy advanced analytics and real-time monitoring tools that detect, investigate, and mitigate fraudulent activity more effectively. For instance, in September 2024, according to the Association of British Insurers, a UK-based non-profit organization, insurers detected 84,400 fraudulent claims in 2023, a 16% increase compared to 2022. Therefore, the increase in insurance fraud is driving the growth of the insurance analytics market.
Major companies operating in the insurance analytics market are focusing on developing advanced solutions, such as data visualization, to enhance decision-making, streamline operations, and improve risk assessment. Data visualization refers to technology that presents complex data in visual formats, such as graphs and charts, enabling users to interpret information more easily and derive actionable insights. For instance, in May 2024, Aon plc, a UK-based management consulting company, launched Aon’s Property Risk Analyzer, a comprehensive risk assessment tool that provides exposure visualization, loss modeling, and testing of insurance structures to help clients make better risk management decisions and explore various insurance and risk financing options. The solution is designed to enhance data quality and enable a more strategic approach to managing property risks, supporting improved operational efficiency and informed decision-making across global insurance operations.
In November 2023, Accenture, an Ireland-based information technology (IT) and consulting company, acquired Ocelot Consulting for an undisclosed amount. Through this acquisition, Accenture aims to expand its cloud-first and data engineering capabilities across North America, helping clients accelerate their cloud transformation with enterprise-scale data platforms, modern analytics, and AI-driven business reinvention. Ocelot Consulting is a US-based company with approximately 100 technologists experienced across utilities, financial services, agriculture, and consumer goods.
Major companies operating in the insurance analytics market are Applied Systems Inc.; Microsoft Corporation; Open Text Corporation; Oracle Corporation; Pegasystems Inc.; Verisk Analytics Inc.; SAS Institute Inc.; International Business Machines Corporation (IBM); Guidewide LLC; Sapiens International Corporation N. V.; Duck Creek Technologies LLC; LexisNexis Risk Solutions Group Holdings Pty Ltd; Munich Reinsurance America Inc.; Fair Isaac Corporation (FICO); Insurity Inc.; Xactware Solutions Inc.; Salesforce. com Inc.; Cognizant Technology Solutions Corporation; Milliman Inc.; Symbility Solutions Inc.; RiskMatch LLC; Tiger Analytics Inc.; WNS Global Services Inc.; Shift Technology SAS; Cover-All Technologies Inc.; SAP SE; Octo Telematics Ltd.; EagleEye Analytics LLC; Metromile Inc.; Slice Labs Inc.; Zesty. AI.
North America was the largest region in the insurance analytics market in 2025.Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the insurance analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the insurance analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the insurance analytics market by increasing costs of imported servers, analytics hardware, cybersecurity infrastructure, and advanced data management systems used by insurers. North America and Europe are most affected due to reliance on imported IT infrastructure, while Asia-Pacific faces higher costs for analytics platform deployment and scaling. These tariffs are raising technology investment costs and delaying analytics modernization initiatives. However, they are also driving greater adoption of cloud-native analytics solutions, regional data center expansion, and optimized software-based insurance analytics platforms.
The insurance analytics market research report is one of a series of new reports that provides insurance analytics market statistics, including insurance analytics industry global market size, regional shares, competitors with a insurance analytics market share, detailed insurance analytics market segments, market trends and opportunities, and any further data you may need to thrive in the insurance analytics industry. This insurance analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Insurance analytics involves the collection, analysis, and extraction of relevant insights from diverse data sources to effectively manage risks and optimize insurance contracts in fields such as health, life, property, or casualty. This process is crucial for generating leads, enhancing customer satisfaction, accurately assessing risk for underwriting, and facilitating overall business growth. Insurance analytics is instrumental in tasks such as detecting fraudulent claims, real-time risk mitigation, influencing customer behavior, and predicting lifetime value.
The primary components in the insurance analytics market are solutions and services. Solutions encompass the processes of collecting, analyzing, and extracting insights from various data sources. Applications of insurance analytics include claims management, risk management, customer management and personalization, process optimization, and other relevant areas. Various end-users of insurance analytics include insurance companies, government agencies, third-party administrators, brokers, and consultancies.
The insurance analytics market consists of revenues earned by entities by providing insurance analytics tools such as policy manipulation and fraud detection. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
The insurance analytics market size is expected to see rapid growth in the next few years. It will grow to $38.03 billion in 2030 at a compound annual growth rate (CAGR) of 18%. The growth in the forecast period can be attributed to increasing deployment of ai-based insurance analytics, rising demand for personalized insurance offerings, expansion of cloud-based analytics platforms, growing focus on real-time risk monitoring, increasing investments in advanced insurance data ecosystems. Major trends in the forecast period include increasing use of predictive risk analytics, rising adoption of fraud detection models, growing focus on customer behavior analytics, expansion of real-time claims analytics, enhanced integration of advanced data platforms.
The rise in insurance fraud is expected to propel the growth of the insurance analytics market. Insurance fraud involves the intentional deception of an insurer for financial gain through false claims or misrepresented information. The increase in insurance fraud is driven by the growing complexity of fraud schemes and the expansion of digital channels, which enable deceit across the insurance value chain. The insurance analytics market addresses this challenge by enabling insurers to deploy advanced analytics and real-time monitoring tools that detect, investigate, and mitigate fraudulent activity more effectively. For instance, in September 2024, according to the Association of British Insurers, a UK-based non-profit organization, insurers detected 84,400 fraudulent claims in 2023, a 16% increase compared to 2022. Therefore, the increase in insurance fraud is driving the growth of the insurance analytics market.
Major companies operating in the insurance analytics market are focusing on developing advanced solutions, such as data visualization, to enhance decision-making, streamline operations, and improve risk assessment. Data visualization refers to technology that presents complex data in visual formats, such as graphs and charts, enabling users to interpret information more easily and derive actionable insights. For instance, in May 2024, Aon plc, a UK-based management consulting company, launched Aon’s Property Risk Analyzer, a comprehensive risk assessment tool that provides exposure visualization, loss modeling, and testing of insurance structures to help clients make better risk management decisions and explore various insurance and risk financing options. The solution is designed to enhance data quality and enable a more strategic approach to managing property risks, supporting improved operational efficiency and informed decision-making across global insurance operations.
In November 2023, Accenture, an Ireland-based information technology (IT) and consulting company, acquired Ocelot Consulting for an undisclosed amount. Through this acquisition, Accenture aims to expand its cloud-first and data engineering capabilities across North America, helping clients accelerate their cloud transformation with enterprise-scale data platforms, modern analytics, and AI-driven business reinvention. Ocelot Consulting is a US-based company with approximately 100 technologists experienced across utilities, financial services, agriculture, and consumer goods.
Major companies operating in the insurance analytics market are Applied Systems Inc.; Microsoft Corporation; Open Text Corporation; Oracle Corporation; Pegasystems Inc.; Verisk Analytics Inc.; SAS Institute Inc.; International Business Machines Corporation (IBM); Guidewide LLC; Sapiens International Corporation N. V.; Duck Creek Technologies LLC; LexisNexis Risk Solutions Group Holdings Pty Ltd; Munich Reinsurance America Inc.; Fair Isaac Corporation (FICO); Insurity Inc.; Xactware Solutions Inc.; Salesforce. com Inc.; Cognizant Technology Solutions Corporation; Milliman Inc.; Symbility Solutions Inc.; RiskMatch LLC; Tiger Analytics Inc.; WNS Global Services Inc.; Shift Technology SAS; Cover-All Technologies Inc.; SAP SE; Octo Telematics Ltd.; EagleEye Analytics LLC; Metromile Inc.; Slice Labs Inc.; Zesty. AI.
North America was the largest region in the insurance analytics market in 2025.Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the insurance analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the insurance analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the insurance analytics market by increasing costs of imported servers, analytics hardware, cybersecurity infrastructure, and advanced data management systems used by insurers. North America and Europe are most affected due to reliance on imported IT infrastructure, while Asia-Pacific faces higher costs for analytics platform deployment and scaling. These tariffs are raising technology investment costs and delaying analytics modernization initiatives. However, they are also driving greater adoption of cloud-native analytics solutions, regional data center expansion, and optimized software-based insurance analytics platforms.
The insurance analytics market research report is one of a series of new reports that provides insurance analytics market statistics, including insurance analytics industry global market size, regional shares, competitors with a insurance analytics market share, detailed insurance analytics market segments, market trends and opportunities, and any further data you may need to thrive in the insurance analytics industry. This insurance analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Insurance analytics involves the collection, analysis, and extraction of relevant insights from diverse data sources to effectively manage risks and optimize insurance contracts in fields such as health, life, property, or casualty. This process is crucial for generating leads, enhancing customer satisfaction, accurately assessing risk for underwriting, and facilitating overall business growth. Insurance analytics is instrumental in tasks such as detecting fraudulent claims, real-time risk mitigation, influencing customer behavior, and predicting lifetime value.
The primary components in the insurance analytics market are solutions and services. Solutions encompass the processes of collecting, analyzing, and extracting insights from various data sources. Applications of insurance analytics include claims management, risk management, customer management and personalization, process optimization, and other relevant areas. Various end-users of insurance analytics include insurance companies, government agencies, third-party administrators, brokers, and consultancies.
The insurance analytics market consists of revenues earned by entities by providing insurance analytics tools such as policy manipulation and fraud detection. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Insurance Analytics Market Characteristics
3. Insurance Analytics Market Supply Chain Analysis
4. Global Insurance Analytics Market Trends and Strategies
5. Insurance Analytics Market Analysis of End Use Industries
7. Global Insurance Analytics Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Insurance Analytics Total Addressable Market (TAM) Analysis for the Market
9. Insurance Analytics Market Segmentation
10. Insurance Analytics Market, Industry Metrics by Country
11. Insurance Analytics Market Regional and Country Analysis
12. Asia-Pacific Insurance Analytics Market
13. China Insurance Analytics Market
14. India Insurance Analytics Market
15. Japan Insurance Analytics Market
16. Australia Insurance Analytics Market
17. Indonesia Insurance Analytics Market
18. South Korea Insurance Analytics Market
19. Taiwan Insurance Analytics Market
20. South East Asia Insurance Analytics Market
21. Western Europe Insurance Analytics Market
22. UK Insurance Analytics Market
23. Germany Insurance Analytics Market
24. France Insurance Analytics Market
25. Italy Insurance Analytics Market
26. Spain Insurance Analytics Market
27. Eastern Europe Insurance Analytics Market
28. Russia Insurance Analytics Market
29. North America Insurance Analytics Market
30. USA Insurance Analytics Market
31. Canada Insurance Analytics Market
32. South America Insurance Analytics Market
33. Brazil Insurance Analytics Market
34. Middle East Insurance Analytics Market
35. Africa Insurance Analytics Market
37. Insurance Analytics Market Competitive Landscape and Company Profiles
38. Insurance Analytics Market Other Major and Innovative Companies
41. Insurance Analytics Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Insurance Analytics Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses insurance analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for insurance analytics? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The insurance analytics market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Solution; Service2) By Deployment Model: On-Premises; Cloud
3) By Enterprise Size: Large Enterprises; Small And Medium Enterprises (SMEs)
Subsegments:
1) By Solution: Risk Assessment And Management Tools; Claims Analytics Software; Underwriting Analytics Solutions; Customer Retention And Acquisition Analytics; Fraud Detection And Prevention Tools2) By Service: Consulting Services; Implementation Services; Support And Maintenance Services; Training And Education Services
Companies Mentioned: Applied Systems Inc.; Microsoft Corporation; Open Text Corporation; Oracle Corporation; Pegasystems Inc.; Verisk Analytics Inc.; SAS Institute Inc.; International Business Machines Corporation (IBM); Guidewide LLC; Sapiens International Corporation N. V.; Duck Creek Technologies LLC; LexisNexis Risk Solutions Group Holdings Pty Ltd; Munich Reinsurance America Inc.; Fair Isaac Corporation (FICO); Insurity Inc.; Xactware Solutions Inc.; Salesforce. com Inc.; Cognizant Technology Solutions Corporation; Milliman Inc.; Symbility Solutions Inc.; RiskMatch LLC; Tiger Analytics Inc.; WNS Global Services Inc.; Shift Technology SAS; Cover-All Technologies Inc.; SAP SE; Octo Telematics Ltd.; EagleEye Analytics LLC; Metromile Inc.; Slice Labs Inc.; Zesty. ai
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Insurance Analytics market report include:- Applied Systems Inc.
- Microsoft Corporation
- Open Text Corporation
- Oracle Corporation
- Pegasystems Inc.
- Verisk Analytics Inc.
- SAS Institute Inc.
- International Business Machines Corporation (IBM)
- Guidewide LLC
- Sapiens International Corporation N. V.
- Duck Creek Technologies LLC
- LexisNexis Risk Solutions Group Holdings Pty Ltd
- Munich Reinsurance America Inc.
- Fair Isaac Corporation (FICO)
- Insurity Inc.
- Xactware Solutions Inc.
- Salesforce. com Inc.
- Cognizant Technology Solutions Corporation
- Milliman Inc.
- Symbility Solutions Inc.
- RiskMatch LLC
- Tiger Analytics Inc.
- WNS Global Services Inc.
- Shift Technology SAS
- Cover-All Technologies Inc.
- SAP SE
- Octo Telematics Ltd.
- EagleEye Analytics LLC
- Metromile Inc.
- Slice Labs Inc.
- Zesty. ai
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 19.62 Billion |
| Forecasted Market Value ( USD | $ 38.03 Billion |
| Compound Annual Growth Rate | 18.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 32 |
