Featuring market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights, The Business Research Company’s 2026 market reports are built to deliver research that is both more actionable and more strategically valuable.
#Insurance Analytics Market Forecast: What Value Will The Market Reach By 2030?#_x000D_
The insurance analytics market size has experienced rapid expansion over recent years. Its valuation is anticipated to increase from $16.62 billion in 2025 to $19.62 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 18.0%. This historical growth can be linked to factors such as the increasing digitization of insurance operations, the rising complexity of insurance products, the expansion of customer data sources, a growing focus on underwriting accuracy, and the adoption of analytics-driven decision tools._x000D_
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The insurance analytics market is projected to experience substantial expansion over the coming years. It is anticipated to reach a valuation of $38.03 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 18.0%. This growth during the forecast period is attributable to several factors, including the increasing implementation of AI-based insurance analytics, a growing demand for customized insurance products, the expansion of cloud-based analytics platforms, a heightened emphasis on real-time risk monitoring, and increased capital flow into sophisticated insurance data ecosystems. Key trends foreseen for this period encompass a greater reliance on predictive risk analytics, an uptick in the adoption of fraud detection models, an intensified focus on analyzing customer behavior, the broadening of real-time claims analytics, and improved integration of advanced data platforms._x000D_
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#Insurance Analytics Market Growth Factors: What’s Supporting Expansion?#_x000D_
The escalating incidence of insurance fraud is anticipated to fuel the expansion of the insurance analytics market in the coming years. Insurance fraud involves the deliberate manipulation of an insurer for financial advantage through dishonest claims or misrepresented facts. This rise in insurance fraud stems from the increasing sophistication of fraudulent schemes and the wider accessibility of digital platforms, which enable deception across the entire insurance value chain. The insurance analytics market supports this trend by empowering insurers to deploy advanced analytical tools and real-time monitoring capabilities to more effectively identify, investigate, and mitigate fraudulent activities. For example, in September 2024, as per the Association of British Insurers UK-based non-profit organisation, insurers uncovered 84,400 fraudulent claims in 2023, marking a 16 % increase from 2022. Thus, the growth of the insurance analytics market is being propelled by the rise in insurance fraud._x000D_
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#Insurance Analytics Market Segment Breakdown: Which Categories Lead On Revenue?#_x000D_
The insurance analytics market covered in this report is segmented – _x000D_
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1) By Component: Solution, Service_x000D_
2) By Deployment Model: On-Premises, Cloud_x000D_
3) By Enterprise Size: Large Enterprises, Small And Medium Enterprises (SMEs)_x000D_
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Subsegments:_x000D_
1) By Solution: Risk Assessment And Management Tools, Claims Analytics Software, Underwriting Analytics Solutions, Customer Retention And Acquisition Analytics, Fraud Detection And Prevention Tools_x000D_
2) By Service: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services_x000D_
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#Insurance Analytics Market Industry Trends: What’s Reshaping Demand?#_x000D_
Key companies engaged in the insurance analytics market are prioritizing the creation of advanced solutions, such as data visualisation, to bolster decision-making, optimize operations, and refine risk assessments. Data visualisation is a technological attribute that displays intricate data in visual formats like graphs and charts, making it simpler for users to interpret information and gain actionable insights. For example, in May 2024, Aon plc, a UK-based management consulting enterprise, unveiled Aon’s Property Risk Analyzer. This extensive risk assessment utility provides exposure visualisation, loss modelling, and analysis of insurance structures, aiding clients in making superior risk management choices and considering various insurance and risk financing alternatives. Engineered to elevate data quality and foster a more strategic methodology for handling property risks, the solution contributes to improved operational efficiency and well-informed decision-making throughout global insurance activities._x000D_
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#Insurance Analytics Market Leading Players And Competitive Positioning#_x000D_
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 _x000D_
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#Insurance Analytics Market Global Footprint: Which Region Leads The Market?#_x000D_
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._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.