The agentic artificial intelligence insurance market size is expected to see exponential growth in the next few years. It will grow to $18.16 billion in 2030 at a compound annual growth rate (CAGR) of 25.7%. The growth in the forecast period can be attributed to rising penetration of cloud-based platforms, rising availability of big data, rising consumer expectation for 24/7 support, rising digital transformation across insurers, and rising complexity of insurance products. Major trends in the forecast period include advancement in autonomous underwriting systems, advancement in real-time claims processing, advancement in fraud detection and prevention, advancement in decision accuracy and underwriting speed, and innovation in personalized insurance products.
The growing adoption of artificial intelligence (AI) is expected to drive the growth of the agentic artificial intelligence (AI) insurance market in the coming years. Artificial intelligence refers to advanced computational systems capable of learning, reasoning, predicting outcomes, and autonomously performing tasks that typically require human intelligence. The rise in AI adoption is driven by insurers’ need for faster claims processing and enhanced customer personalization through autonomous, self-directed AI agents. Agentic AI insurance supports AI by independently analyzing data, generating insights, and making real-time decisions, thereby improving operational efficiency and reducing administrative burdens. For example, in January 2025, according to Eurostat, the statistical office of the European Union, 13.5% of enterprises in the EU with 10 or more employees used AI technologies in 2024, up from 8% in 2023, representing a 5.5 percentage point increase. Consequently, the growing adoption of AI is fueling the growth of the agentic AI insurance market.
Major companies in the agentic artificial intelligence (AI) insurance market are emphasizing technological innovation, such as agentic AI, to perform autonomous, task-specific actions. Agentic AI refers to autonomous systems that can reason, plan, and execute actions independently to achieve defined goals with minimal human supervision. For example, in September 2025, Shift Technology SAS, a France-based provider of AI-driven insurance decisioning solutions, launched Shift Claims to transform claims operations using agentic AI. Shift Claims leverages agentic AI to manage claims by automatically analyzing all documents to assess complexity, coverage, liability, damages, subrogation, and litigation risk, then classifying and scoring each claim to set priority and route work efficiently. It identifies which claims or tasks can be fully automated versus those requiring human intervention, and for human-involved cases, it guides review, decisions, communications, and negotiations while continuously updating the claim file.
In July 2024, Applied Systems Inc., a US-based provider of cloud-based insurance software, acquired Planck Resolution Ltd. for an undisclosed amount. Through this acquisition, Applied Systems aimed to enhance its artificial intelligence (AI) capabilities and optimize underwriting and distribution processes by leveraging Planck’s real-time data insights. Planck Resolution Ltd. is an Israel-based company specializing in agentic AI solutions for the insurance industry.
Major companies operating in the agentic artificial intelligence (AI) insurance market are Salesforce Inc., Cognizant Technology Solutions Corporation, Genpact, LTIMindtree Limited, Hexaware Technologies Limited, Hyland Software Inc., Newgen Software Technologies Limited, Duck Creek Technologies Inc., EIS Group, Kellton Tech Solutions Ltd., Foncière INEA, Earnix, Tractable Ltd., FRISS, Angular Minds, Gradient AI, Simplifai, ZestyAI, Intellivon, Roots, FurtherAI Inc.
North America was the largest region in the agentic artificial intelligence insurance market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the agentic artificial intelligence (AI) insurance market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the agentic artificial intelligence (AI) insurance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
Tariffs have had a limited but indirect impact on the agentic artificial intelligence insurance market by increasing costs associated with imported computing hardware, data infrastructure components, and specialized AI accelerators. The impact is more pronounced for on premise deployments and in regions dependent on cross border technology supply chains, particularly North America and Asia Pacific. Cloud based and software centric insurance platforms face relatively lower exposure, accelerating migration toward SaaS models. In some cases, tariffs have encouraged localized data center investments and strengthened domestic AI ecosystem development.
Agentic artificial intelligence (AI) insurance refers to the application of autonomous, self-directed AI systems capable of analyzing data, making decisions, and executing insurance tasks with minimal human involvement. These AI agents can independently manage functions such as underwriting, claims assessment, fraud detection, and customer interactions by learning from data and adapting to new scenarios. This approach enhances speed, accuracy, and efficiency in insurance operations while facilitating more personalized and proactive services.
The primary insurance types for agentic artificial intelligence (AI) insurance include life insurance, health insurance, property and casualty insurance, commercial insurance, travel and microinsurance, and others. Life insurance provides a payout to beneficiaries upon the insured individual’s death, offering financial protection and security. Deployment modes include on-premise and cloud-based (SaaS) solutions. The technology stack comprises cognitive agents, autonomous decision engines, multi-agent systems, LLM integration with guardrails, explainable AI (XAI), and more. Key applications include underwriting automation, claims management, customer engagement, product personalization, compliance and governance, among others. The main end-users are insurance carriers, InsurTech companies, third-party administrators (TPAs), brokers and agencies, reinsurers, and others.
The agentic artificial intelligence (AI) insurance market consists of revenues earned by entities by providing services such as autonomous underwriting, real-time claims automation, AI-driven fraud detection, predictive risk analytics, virtual customer assistance, and workflow automation powered by intelligent AI agents. The market value includes the value of related goods sold by the service provider or included within the service offering. The agentic artificial intelligence (AI) insurance market includes sales of autonomous AI platforms, intelligent decision-making tools, predictive analytics systems, virtual agent solutions, and automated claims and underwriting technologies that enable self-directed insurance operations. 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.
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Table of Contents
Executive Summary
Agentic Artificial Intelligence (AI) Insurance Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses agentic artificial intelligence (ai) insurance 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 agentic artificial intelligence (ai) insurance? 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 agentic artificial intelligence (ai) insurance 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 Insurance Type: Life Insurance; Health Insurance; Property and Casualty Insurance; Commercial Insurance; Travel and Microinsurance; Other Insurance Types2) By Deployment Mode: On-Premise; Cloud-Based (SaaS)
3) By Technology Stack: Cognitive Agents; Autonomous Decision Engines; Multi-Agent Systems; LLM Integration (with Guardrails); Explainable AI (XAI); Other Technology Stacks
4) By Application: Underwriting Automation; Claims Management; Customer Engagement; Product Personalization; Compliance and Governance; Other Applications
5) By End-User: Insurance Carriers; InsurTech Companies; Third-Party Administrators (TPAs); Brokers and Agencies; Reinsurers; Other End-Users
Subsegments:
1) By Life Insurance: Automated Policy Recommendation Tools; Artificial Intelligence-Based Risk Scoring Models; Digital Underwriting Agents; Beneficiary Management Automation; Artificial Intelligence-Powered Policy Renewal Systems; Fraud Detection Agents2) By Health Insurance: Artificial Intelligence-Driven Claims Triage Systems; Medical Data Analysis Agents; Automated Pre-Authorization Tools; Wellness and Preventive Care AI Agents; Artificial Intelligence-Based Treatment Cost Estimation Tools; Health Risk Prediction Engines
3) By Property and Casualty Insurance: Computer Vision-Based Damage Assessment; Artificial Intelligence-Powered Telematics Analysis; Automated Incident Reporting Agents; Smart Claims Adjustment Systems; Risk Monitoring and Prediction Engines; Fraud Detection and Alerts
4) By Commercial Insurance: Automated Business Risk Profiling Tools; Artificial Intelligence-Based Commercial Underwriting Agents; Policy Portfolio Optimization Engines; Compliance and Regulatory Automation; Artificial Intelligence-Enabled Liability Assessment; Data-Driven Premium Modeling Tools
5) By Travel and Microinsurance: Artificial Intelligence Travel Risk Assessment Tools; Automated Trip Protection Engines; Instant Microinsurance Issuance Agents; Lost-Baggage Verification Systems; Smart Travel Claim Settlement Tools; Micro-Policy Pricing Engines
6) By Other Insurance Types: Pet Insurance AI Agents; Cyber Insurance Risk Evaluation Tools; Agricultural Insurance AI Models; Marine and Aviation Risk Monitoring Agents; Specialty Policy Automation Engines; Predictive Risk Analytics Tools
Companies Mentioned: Salesforce Inc.; Cognizant Technology Solutions Corporation; Genpact; LTIMindtree Limited; Hexaware Technologies Limited; Hyland Software Inc.; Newgen Software Technologies Limited; Duck Creek Technologies Inc.; EIS Group; Kellton Tech Solutions Ltd.; Foncière INEA; Earnix; Tractable Ltd.; FRISS; Angular Minds; Gradient AI; Simplifai; ZestyAI; Intellivon; Roots; FurtherAI Inc.
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 Agentic AI Insurance market report include:- Salesforce Inc.
- Cognizant Technology Solutions Corporation
- Genpact
- LTIMindtree Limited
- Hexaware Technologies Limited
- Hyland Software Inc.
- Newgen Software Technologies Limited
- Duck Creek Technologies Inc.
- EIS Group
- Kellton Tech Solutions Ltd.
- Foncière INEA
- Earnix
- Tractable Ltd.
- FRISS
- Angular Minds
- Gradient AI
- Simplifai
- ZestyAI
- Intellivon
- Roots
- FurtherAI Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 7.26 Billion |
| Forecasted Market Value ( USD | $ 18.16 Billion |
| Compound Annual Growth Rate | 25.7% |
| Regions Covered | Global |
| No. of Companies Mentioned | 22 |


