Report Details:
15 Companies Covered
200 Pages
AI in Insurance Market Poised to Rocket to USD 329.80 Billion by 2035, Growing at a 31.50% CAGR
Regulatory mandates for faster, auditable claims decisions are turning artificial intelligence from a discretionary upgrade into required carrier infrastructure.
Market Research Future (MRFR) has updated report on the AI in Insurance Market reached an estimated USD 20.90 billion in 2025 and is projected to expand from USD 28.05 billion in 2026 to USD 329.80 billion by 2035, registering a 31.50% CAGR across the forecast period. The trajectory reflects a structural shift rather than incremental adoption, as insurers face regulatory mandates for faster claims adjudication and transparent pricing that AI delivers on both fronts.
AI in Insurance Market Overview
In the U.S., compliance-driven demand, spurred by state-level rate-filing automation mandates and the 2024 guidelines on algorithmic transparency from the European Insurance and Occupational Pensions Authority, drives increased capital allocation to intelligent processing platforms.
Legacy rule-based underwriting engines and manual claims workflows are being replaced by cloud-native AI stacks that can do real-time risk scoring and make quick settlement decisions. Carriers spent an estimated $6.8 billion in 2024 alone on AI infrastructure enhancements, and today, generative AI models can process unstructured medical records and property inspection reports in seconds, shrinking underwriting cycles that used to take weeks into hours.
Key Trends & Growth Drivers
Regulatory Mandates for Straight-Through Processing: The NAIC’s 2023 Model Bulletin on the use of AI requires carriers to show that automated choices are fair and transparent. Colorado and Connecticut are among states that have passed AI governance legislation that will take effect in 2026.
Generative AI for Personalized Underwriting: Adopting carriers would see underwriting cycle time slashed by 30-45%, while generative AI might generate USD 50-70 billion in yearly productivity improvements for global insurance underwriting by 2027.
Computer Vision in Property Inspection: Computer-vision algorithms that scan drone imagery have cut property inspection downtimes by as much as 70%, with insurers such as USAA and Zurich already using airborne damage assessment for catastrophe response.
Cloud-Native Platform Modernization: Carriers are moving from on-premises policy administration systems to cloud-native AI solutions that allow real-time pricing adjustments and ongoing model enhancement.
Autonomous Claims Settlement: End-to-end automation of straightforward claims can save loss-adjustment costs by 50–60%, thereby allowing autonomous settlement to leap from pilot projects into production.
AI in Insurance Market Segmentation Insights
By Offering: Carrier preference in modular platforms represented 52.0% of 2025 revenue for software, while Services is predicted to rise at a 38.50% CAGR as demand for implementation and managed-AI support grows.
By Deployment Mode: 2025 is dominated by Cloud deployment at 65.6% due to API-first architecture and scalability. On-Premises continues to be relevant with carriers with strong data-residency laws.
By Enterprise Size: 76.0% of 2025 investment will go to Large Enterprises. Small and Medium Enterprises are the fastest-expanding group with a 42.0% CAGR as SaaS-based AI platforms remove entry barriers.
By End-User: Property & Casualty Insurance has the largest proportion of computer vision and telematics maturity at 62.4%, while Life & Health Insurance is increasing at a more rapid pace of 36.20% CAGR as generative AI enables unstructured medical-record processing.
Regional Landscape
North America — The Largest Regional Market
North America is expected to hold about 47.2% of the AI in Insurance Market, a consequence of the concentration of insurtech investment in the U.S. and Canada. More than 200 insurtech firms are leveraging AI in underwriting, claims and distribution, with the United States accounting for 78.5% of the regional share.
Europe — Solvency II Modernization
Europe holds the second-largest share at approximately 25.3%, driven by Solvency II modernization and open-insurance API frameworks. The EU AI Act's classification of insurance underwriting as high-risk AI creates both compliance costs and competitive moats for early adopters, with the UK growing fastest at a 31.20% CAGR.
Asia-Pacific — The Fastest-Growing Region
Asia-Pacific stands as the fastest-growing region at a projected 33.10% CAGR, propelled by digital-first insurance ecosystems in China and India. China's Ping An and Zhongan platforms process millions of claims daily through fully automated pipelines, while India's IRDAI sandbox has approved over 50 AI-driven insurance experiments since 2023.
Middle East & Africa — Vision-Driven Digitization
The Middle East & Africa is expanding at a 34.80% CAGR, the market's fastest pace globally, with Saudi Arabia's Vision 2030 explicitly targeting insurance-sector digitization and the UAE's DIFC establishing itself as a regional insurtech hub.
Competitive Landscape
The market exhibits medium concentration, with an estimated top-five vendor share of 28–34%. Profiled companies include IBM, Microsoft, Google Cloud, Amazon Web Services, SAP, Guidewire Software, Shift Technology, Tractable, Duck Creek Technologies, and Salesforce. Recent developments include:
• Shift Technology (May 2021): Raised USD 220 million in Series D funding to expand its AI-native claims automation platform into new geographies, with particular focus on Asia-Pacific carrier partnerships.
• Guidewire Software (August 2024): Launched its HazardHub AI-integrated catastrophe risk scoring module, embedding real-time natural-hazard intelligence directly into underwriting workflows.
• European Commission (August 2024): Published final implementing rules for the EU AI Act's high-risk classification, confirming that insurance underwriting and claims automation require conformity assessments.
• Tractable (March 2024): Expanded its computer-vision platform to cover commercial property damage assessment, moving beyond auto claims into broader property and casualty applications.
• IBM (January 2024): Announced integration of watsonx.ai foundation models into its insurance underwriting solutions, enabling carriers to process unstructured broker submissions through a single AI pipeline.
Future Outlook
By 2030, leading carriers are expected to operate underwriting and claims functions where human intervention is the exception, with straight-through processing rates for standardized personal lines exceeding 80%, compressing combined ratios by 5–8 percentage points for early adopters.
The insurance AI vendor market is likely to consolidate around platform players that provide integrated suites, as carriers increasingly favor single-vendor ecosystems that unify underwriting, claims, fraud detection and customer interaction on a common data layer.
InsTech London predicts premiums in embedded insurance, where coverage is bundled into non-insurance transactions at point of sale, could reach $700 billion globally by 2030, with AI providing the infrastructure for that shift and ISSB S1 and S2 sustainability standards securing continued investment in climate-modeling capabilities through 2035.
