AI in Insurance Market to Rise With Increased Risks in Business Ecosystems

Report Details:
15 Companies Covered
200 Pages

Positive Effects from Digital Advancements and Automation on Global AI in Insurance Market Projected at a CAGR of 32.30% Between 2025 and 2035


Market Research Future (MRFR) has published its `Global AI in Insurance Market` report with data from 2025 to 2035. The AI in Insurance Market is expected to reach a CAGR of 32.30% within the 2025-to-2035-time frame.


MRFR identifies the key players within the Global AI in Insurance Market to include — Zurich Insurance, Hewlett Packard Enterprise, Oracle, Microsoft, Chubb, IBM, Cognizant, Generali Group, Google, Allianz, Capgemini, Aon, Salesforce, Accenture, and Amazon.


Market Overview


The Global AI in Insurance Market has recorded a CAGR of 32.30% within the forecast duration and is projected to grow from USD 11.33 billion in 2024 to USD 246.30 billion in 2035.


This growth can be attributed to automation improvements, risk assessment, and fully personalized insurance services as the customers’ demand escalates. With the adoption of Artificial Intelligence (AI) in the insurance sector, automation of operations, underwriting, and claims processing systems to get streamlined, is fully optimized, and greatly managed improvements.


Fraud detection, underwriting, claims processing, customer service, and risk assessment are key functions in AI adoption and technology integration within the insurance industry. As AI improves speed and precision, its value in the industry increases. For instance, the value of AI-assisted fraud detection will grow from $1.25 billion in 2024 to $10.25 billion in 2035, and the value of AI-assisted claims processing will grow from $1.45 billion in 2024 to $12 billion in 2035.


AI-enabled anomaly detection, AI-assisted automation of repetitive tasks, and the integration of machine learning, and natural language and computer vision processing have strong value to insurance industries. Global regulatory agencies are also interested in AI’s risk management potential and for improving regulatory compliance, and this interest will reinforce AI adoption in the insurance industry.


The establishment of digital insurance platforms and the partnerships of technology start-ups with traditional insurers promote AI adoption across the insurance value chain. The AI Insurance Market is rapidly expanding in both size and efficiency as such partnerships reshape customer interaction, risk management, and service delivery.


Segment Analysis


The Global AI in Insurance Market has been segmented based on Application, Technology, Deployment Type, End Use, and Region.


By Application


Market segmentation by application includes Fraud Detection, Underwriting, Claims Processing, Customer Servicing, and Risk Assessment.


Fraud Detection is expected to be the biggest market driver due to the increasing need to address fraudulent claims and the associated financial losses. It will expand from USD 1.5 billion in 2024 to USD 10.25 billion in 2035.


Following Claims Processing is expected to expand from USD 1.45 in 2024 to USD 12.0 billion in 2035 with the significant improvement in turnaround time and customer satisfaction.


Increased use of AI chatbots and virtual assistants that improve customer interaction will support the Customer Service segment projected to grow from USD 0.95 billion in 2024 to USD 8.5 billion by 2035.


From Underwriting expected to grow to USD 7.6 billion by 2035 will be because of AI powered risk modelling and automated decision making.


By Technology


The Technology segment includes Machine Learning, Natural Language Processing, Computer Vision, and Robotic Process Automation.


Among these, the Machine Learning segment has the biggest share, as it enables insurers to assess risk and detect fraud in large data sets, and assess it in real time.


By automating customer communications, NLP improves customer experience while Computer Vision aids in faster claims processing by damage assessment.


By automating repetitive tasks in the back office, RPA has made significant improvements in efficiency, cost savings, and overall performance.


By Deployment Type


Deployment Type is categorized into On-Premises and Cloud-Based systems.


Cloud-Based systems provide numerous advantages such as scalable, flexible, and cost-effective AI implementations. Therefore, Cloud-Based systems are predicted to take the lead. Insurers are increasingly adopting Cloud infrastructures to efficiently store and process massive amounts of data.


However, On-Premises systems are still important for organizations that focus on the security of their data and the compliance to laws around the data in the governance of laws. This is especially pertinent in countries with strict data governance laws.


By End Use


The market also analyses End Use, which focuses on Life, Health, Property & Casualty, and Automobile Insurance.


Health Insurance is leading the market as AI continues to grow with predictive modeling, fraud detection, and optimizing claims processing.


AI is increasingly being used in underwriting and loss assessment in Property & Casualty Insurance as well. Automobile Insurance utilizes AI for personalized premiums with telematics and usage-based models.


Customer relations and policy personalization keep Life Insurance active with AI.


Region Analysis


The AI in Insurance Market is divided by Region into North America, Europe, Asia-Pacific, South America, and the Middle East & Africa.


Technological advances, fully developed data analytics, and early use of AI in large insurance companies, explains North America’s $2.12 billion dollar market worth in 2024, making it the biggest market in the world.


Europe comes in 2nd with a $1.34 billion dollar market worth in 2024. Europe benefits from strong government regulation that guides insurance companies to use and adopt more digital and automatic processes.


The Asia-Pacific region is predicted to grow the quickest, with a market worth of 1.21 billion dollars in 2024, and attaining greater market value by 2035. The China, Japan and India government sponsored innovation programs, and the growth of digital technology and mobile devices will drive this growth.


South America, and the Middle East and Africa have also begun to grow, with 2024 market values of 420 million dollars, and 200 million dollars respectively. The use of automation and digital technology in processes of insurance is increasing to address the widening reach and access to clients.


Key Findings of the Study


Globally, the AI in the insurance market is predicted to be worth 246.3 billion dollars by 2035, with an annual growth rate of 32.3 %.


North America holds the largest market share and will continue to do so through 2035.Fraud detection held the largest market share in 2024 and is predicted to lead for the foreseeable future. Machine learning is the most used technology for all market sectors. Cloud-based solutions will see the most rapid growth in the future. Key market players include Zurich Insurance, Hewlett Packard Enterprise, Oracle, Microsoft, IBM, Cognizant, Generali Group, Google, Allianz, Capgemini, Aon, Salesforce, Accenture, and Amazon.


Industry Developments


Q2 2025. A NAIC survey spanning 16 U.S. states found that 84% of health insurers have integrated AI and machine learning into their workflow, signifying the top tier of the rapid modernization of the health insurance industry.


Q1 2025. Insurity published the "AI in Insurance Report 2025” and stated that consumer confidence in AI for property and casualty insurance declined, with only 20% of Americans viewing it positively. Insurers need to work on transparency and trust.


In 2024. Zurich Insurance and Hewlett Packard Enterprise further expanded their collaboration on AI-enhanced risk assessment and predictive analytics solutions for global insurers.


Future Outlook


The Global AI in Insurance Market will experience rapid growth in the near future due to advancements in digitalization, automation, and analytics.


Opportunities include AI underwriters that can assess risk more accurately, and chatbots and virtual assistants that improve customer engagement.


Using predictive analytics to identify possible fraud and loss prevention.


The insurance market will embrace the likes of Artificial Intelligence as an asset to the innovation of the insurance market.