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Insurance Analytics Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The insurance analytics market size has experienced rapid growth in recent years. It is anticipated to expand from $16.62 billion in 2025 to $19.62 billion in 2026, at a compound annual growth rate (CAGR) of 18.0%. This historical growth can be attributed to factors such as the increasing digitization of insurance operations, rising complexity of insurance products, expansion of customer data sources, a growing focus on underwriting accuracy, and the adoption of analytics-driven decision tools.
The insurance analytics market size is anticipated to experience substantial growth in the upcoming years. It is projected to expand to $38.03 billion by 2030, achieving a compound annual growth rate (CAGR) of 18.0%. This expansion during the forecast period can be attributed to the increasing deployment of AI-based insurance analytics, a rising demand for personalized insurance offerings, the expansion of cloud-based analytics platforms, a growing focus on real-time risk monitoring, and increasing investments in advanced insurance data ecosystems. Significant trends for the forecast period include the increasing use of predictive risk analytics, a rising adoption of fraud detection models, a growing focus on customer behavior analytics, the expansion of real-time claims analytics, and enhanced integration of advanced data platforms.
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Insurance Analytics Market Growth Drivers: What Factors Are Accelerating Expansion?
The surge in insurance fraud is anticipated to drive the expansion of the insurance analytics market going forward. Insurance fraud involves the deliberate deception of an insurer for financial gain via false claims or misstated information. This increase in insurance fraud stems from the growing sophistication of fraud schemes and the proliferation of digital channels that facilitate dishonest activities throughout the insurance value chain. The insurance analytics market plays a crucial role in supporting this driver by enabling insurers to deploy advanced analytical tools and real-time monitoring to detect, investigate, and mitigate fraudulent activity more effectively. For instance, in September 2024, as reported by the Association of British Insurers UK-based non-profit organisation, insurers identified 84,400 fraudulent claims in 2023, representing a 16 % rise over 2022. Consequently, the rise in insurance fraud is fueling the growth of the insurance analytics market.
Insurance Analytics Market Segment Performance And Strategic Opportunities
The insurance analytics market covered in this report is segmented –
1) By Component: Solution, Service
2) 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 Tools
2) By Service: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services
Insurance Analytics Market Innovation Trends: Which Developments Are Transforming The Industry?
Leading companies within the insurance analytics market are prioritizing the development of advanced solutions, such as data visualisation, to bolster decision-making, streamline operations, and elevate risk assessment. Data visualisation is a technological attribute that renders complex data in visual formats like graphs and charts, empowering users to interpret information more readily and extract actionable insights. For instance, in May 2024, Aon plc, a UK-based management consulting company, unveiled Aon’s Property Risk Analyzer, an extensive risk assessment tool that delivers exposure visualisation, loss modelling, and testing of insurance structures to assist clients in making superior risk management decisions and exploring diverse insurance and risk financing options. Engineered to improve data quality and foster a more strategic approach to managing property risks, this solution supports enhanced operational efficiency and well-informed decision-making throughout global insurance operations.
Insurance Analytics Market Key Players: Which Companies Shape Industry Competition?
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
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Insurance Analytics Market Regional Outlook: Where Are The Largest Opportunities Located?
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.
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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.