The artificial intelligence (AI) in insurance claims processing market size is expected to see rapid growth in the next few years. It will grow to $0.97 billion in 2030 at a compound annual growth rate (CAGR) of 16.2%. The growth in the forecast period can be attributed to integration of computer vision in claims, expansion of AI driven fraud prevention, demand for real time claim resolution, growth of digital insurance platforms, increasing customer experience focus. Major trends in the forecast period include automated claims assessment, AI based fraud detection, intelligent damage estimation, straight through claims processing, customer centric claims automation.
The growing demand for personalized claims assistance is expected to drive the expansion of artificial intelligence (AI) in the insurance claims processing market. Personalized claims assistance involves AI-powered solutions that deliver tailored support, real-time claim updates, and automated recommendations based on individual policyholder needs. As policyholders increasingly expect faster and more customized services, insurers are prioritizing enhanced customer experience through personalized communication and responsive support. AI enables this by streamlining processing, improving accuracy, providing proactive updates, and offering data-driven customer service. For example, in October 2024, Higson, a Poland-based insurtech company, reported that personalization in insurance can result in a 10-15% revenue increase and up to 20% improvement in customer retention. Additionally, 95% of customers are open to sharing data, and 88% actively seek personalized services. As a result, the growing interest in personalized claims assistance is propelling the adoption of AI in the insurance claims processing market.
Key players in the AI insurance claims processing market are increasingly focusing on advanced automation technologies, such as agentic artificial intelligence, to enhance efficiency and accuracy in claims assessment. Agentic AI refers to autonomous AI systems capable of independent decision-making and task execution with minimal human intervention. For instance, in February 2025, Simplifai, a Norway-based AI solutions provider, launched a groundbreaking agentic AI automation platform designed to streamline insurance functions such as claims processing, underwriting, and customer service. This solution enables insurers to improve operational efficiency, reduce settlement times, enhance accuracy, and minimize administrative burdens - ultimately delivering smoother, more efficient customer experiences.
In February 2025, Xceedance, a US-based provider of insurance consulting and managed services, acquired CIS Claim Services for an undisclosed amount. The acquisition aims to enhance Xceedance's claims capabilities by incorporating alternative dispute resolution (ADR) services and expanding its network of independent adjusters. Leveraging AI-driven solutions, Xceedance plans to accelerate the claims process and improve operational performance for insurers and managing general agents (MGAs). CIS Claim Services, also based in the US, specializes in property claims appraisal, field adjusting, and managing litigated claims, offering valuable expertise to bolster Xceedance’s AI-powered claims infrastructure.
Major companies operating in the artificial intelligence (AI) in insurance claims processing market are ICICI Lombard General Insurance Company Ltd, CCC Intelligent Solutions Inc., Quantiphi, Sapiens International, Blue Prism Limited, ScienceSoft USA Corporation, Harbinger Group, Newgen Software Technologies Limited, Vlink Inc., LeewayHertz, Astera Software, Damco Group, Ravin AI Ltd., ZestyAI, Tractable Ltd., Sprout.ai, CLARA Analytics Inc., V7 Ltd., Alula Technologies Ltd., SimplifAI Systems Limited, Perceptiviti Data Solutions Private Limited.
North America was the largest region in the artificial intelligence (AI) in insurance claims processing market in 2025. The regions covered in the artificial intelligence (AI) in insurance claims processing market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in insurance claims processing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have indirectly affected the AI in insurance claims processing market through increased costs of IT infrastructure and data processing hardware. These impacts have been more visible in on premise deployments used by large insurers. North america and europe have faced moderate operational cost pressures due to global technology sourcing. At the same time, tariffs have accelerated adoption of cloud based claims processing platforms. This has reduced capital expenditure and improved deployment flexibility. Overall, digital transformation continues to outweigh tariff related challenges.
The artificial intelligence (AI) in insurance claims processing market research report is one of a series of new reports that provides artificial intelligence (AI) in insurance claims processing market statistics, including artificial intelligence (AI) in insurance claims processing industry global market size, regional shares, competitors with a artificial intelligence (AI) in insurance claims processing market share, detailed artificial intelligence (AI) in insurance claims processing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in insurance claims processing industry. This artificial intelligence (AI) in insurance claims processing 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.
Artificial intelligence (AI) in insurance claims processing involves the use of machine learning, natural language processing, and other AI technologies to automate and optimize the evaluation, validation, and settlement of insurance claims. AI systems can analyze vast amounts of data, detect fraud, assess damages, and accelerate decision-making, thereby improving accuracy, reducing processing times, and enhancing customer experiences during the claims process.
The primary offerings of AI in insurance claims processing are software and services. AI software includes machine learning algorithms, natural language processing, and predictive analytics tools that automate claim assessments, fraud detection, and interactions with policyholders. It is deployed through both on-premise and cloud-based models, utilizing technologies such as machine learning, natural language processing, and computer vision. These solutions cater to enterprises of all sizes, including large corporations and small to medium-sized enterprises (SMEs), and are used by end users such as life and health insurance providers, as well as property and casualty insurance companies.
The artificial intelligence (AI) in insurance claims processing market consists of revenues earned by entities by providing services such as automated claims assessment, predictive analytics, fraud detection algorithms, natural language processing (NLP)-based chatbots, and machine learning-driven decision support systems. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in insurance claims processing market also includes sales of AI-integrated data servers, cloud computing infrastructure, and cybersecurity solutions. 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
Artificial Intelligence (AI) In Insurance Claims Processing Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (AI) in insurance claims processing 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 artificial intelligence (AI) in insurance claims processing? 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 artificial intelligence (AI) in insurance claims processing 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 Offering: Software; Services2) By Deployment Model: On-Premise; Cloud
3) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Other Technologies
4) By Enterprise Size: Large Enterprises; Small And Medium-Sized Enterprises (SMEs)
5) By End-User: Life And Health Insurance; Property And Casualty Insurance
Subsegments:
1) By Software: AI-Based Underwriting Software; Fraud Detection Software; Claims Processing Software; Customer Engagement Platforms2) By Services: Managed Services; Professional Services; Consulting Services; Support And Maintenance
Companies Mentioned: ICICI Lombard General Insurance Company Ltd; CCC Intelligent Solutions Inc.; Quantiphi; Sapiens International; Blue Prism Limited; ScienceSoft USA Corporation; Harbinger Group; Newgen Software Technologies Limited; Vlink Inc.; LeewayHertz; Astera Software; Damco Group; Ravin AI Ltd.; ZestyAI; Tractable Ltd.; Sprout.ai; CLARA Analytics Inc.; V7 Ltd.; Alula Technologies Ltd.; SimplifAI Systems Limited; Perceptiviti Data Solutions Private Limited.
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 AI in Insurance Claims Processing market report include:- ICICI Lombard General Insurance Company Ltd
- CCC Intelligent Solutions Inc.
- Quantiphi
- Sapiens International
- Blue Prism Limited
- ScienceSoft USA Corporation
- Harbinger Group
- Newgen Software Technologies Limited
- Vlink Inc.
- LeewayHertz
- Astera Software
- Damco Group
- Ravin AI Ltd.
- ZestyAI
- Tractable Ltd.
- Sprout.ai
- CLARA Analytics Inc.
- V7 Ltd.
- Alula Technologies Ltd.
- SimplifAI Systems Limited
- Perceptiviti Data Solutions Private Limited.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 0.53 Billion |
| Forecasted Market Value ( USD | $ 0.97 Billion |
| Compound Annual Growth Rate | 16.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 22 |

