Global AI Automated Claim Management Market Growth (Status and Outlook) 2025-2031

According to this study, the global AI Automated Claim Management market size will reach US$ 7219 million by 2031.

AI Automated Claim Management refers to the utilization of artificial intelligence technologies to streamline and optimize the process of handling insurance claims, or other types of claims in various industries. Through advanced machine learning algorithms, natural language processing, and computer vision (depending on the nature of the claim), AI systems can automatically analyze claim data, which might include policy details, incident reports, and supporting documents. For instance, in the insurance sector, it can rapidly assess damage photos in a property damage claim, read and understand complex medical reports in a health insurance claim, and cross-reference this information with policy terms. This automation not only speeds up the initial claim intake and evaluation but also reduces human error, ensuring a more accurate and consistent decision-making process. It allows claims handlers to focus on more complex cases that require human judgment, ultimately enhancing overall efficiency, improving customer satisfaction, and potentially lowering costs associated with claim processing for organizations.

The global market for AI automated claim management is on a growth trajectory. The Asia-Pacific region has the fastest - growing market, with a CAGR of 18.7% from 2025 to 2030. This is mainly due to the rising insurance penetration rates in emerging markets such as China and India, as well as the acceleration of medical informatization reform. The North American market maintains stable growth due to its mature insurance system, and the European market, driven by countries such as Germany and the UK, is growing steadily, with a CAGR of 12.3% from 2025 to 2030.

Generative AI will play a more important role in claim management, helping to make decisions, improve the handling of complex claims, and enable insurers to generate more accurate claim payout estimates and predict outcomes more effectively. AI-driven hyper-automation will become a prominent feature, integrating AI, robotic process automation (RPA), and machine learning to automate end - to - end processes. This will further improve claims processing efficiency and reduce human intervention.

With the insurance industry becoming more customer - centric, AI will be used to provide a more personalized claims experience. By understanding individual customer needs, preferences, and behaviors, insurers can tailor the claims process to improve customer satisfaction.

LPI (LP Information)' newest research report, the “AI Automated Claim Management Industry Forecast” looks at past sales and reviews total world AI Automated Claim Management sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Automated Claim Management sales for 2025 through 2031. With AI Automated Claim Management sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Automated Claim Management industry.

This Insight Report provides a comprehensive analysis of the global AI Automated Claim Management landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Automated Claim Management portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Automated Claim Management market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Automated Claim Management and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Automated Claim Management.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Automated Claim Management market by product type, application, key players and key regions and countries.

Segmentation by Type:
On-premises
Cloud Based

Segmentation by Application:
Healthcare Insurance
Automotive Insurance
Financial Insurance
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Davies
Tractable
Infosys
Avenga
Duck Creek
omn​​i:us
Sprout.ai
AKASA
Simplifai
Five Sigma
expert.ai
H2O.ai
ScienceSoft
Coforge
CorVel
Curacel
SmartAction
ACTICO
Codal
Kudra
Kanverse
UNOY
Clarion Analytics
Openkoda

Please note: The report will take approximately 2 business days to prepare and deliver. Show more