Artificial Intelligence (AI) in Insurance Market Size, Segments, and Growth by 2031
Historic Data: 2021-2023 | Base Year: 2024 | Forecast Period: 2025-2031Coverage: Artificial Intelligence (AI) in Insurance Market covers analysis By Component (Software and Service), Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP), Machine Vision, and Robotic Automation), Deployment (Cloud and On-Premise), Application (Claims Management, Risk Management and Compliance, Chatbots, and Others), End users (Life Insurance, Health Insurance, Title Insurance, Auto Insurance, and Others), and Geography
- Report Date : Feb 2026
- Report Code : TIPRE00010645
- Category : Technology, Media and Telecommunications
- Status : Upcoming
- Available Report Formats :

- No. of Pages : 150
Artificial intelligence (AI) in the insurance market is expected to register a CAGR of 32.7% during 2023–2031. The growing demand for predictive analytics and automation is likely to remain a key trend in the market.
Artificial Intelligence (AI) in Insurance Market Analysis
- The AI Insurance sector supports the insurance industry and puts enormous amounts of data to the optimum level.
- Insurers design customized policies for individuals, systematic underwriting processes, and provide estimates with greater accuracy to customers across the world.
- Integrating AI technology could further enable precise predictions, manage customer interactions, and expand personalized service.
Artificial Intelligence (AI) in Insurance Market Overview
- AI technology could offer a host of potential benefits to embrace change in the insurance industry to manage risk.
- Insurance companies are integrating AI technologies to precisely estimate, manage customer interactions, and expand personalized service and product lines with unprecedented accuracy and speed.
- Within the insurance sector, guarantors use AI to improve customer service, increase efficiency, and fight against fraud effectively.
- AI technologies will allow insurers to draw on developed datasets to recover their processes, from mechanizing customer support to improving risk modeling and predictions.
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Artificial Intelligence (AI) in Insurance Market: Strategic Insights
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Artificial Intelligence (AI) in Insurance Market Drivers and Opportunities
Rising Need for Personalized Experience Among Consumers to Favor the Market
- Consumers expect personalized experiences, which encourages market players to adopt AI technology to automate insurance processes.
- AI technology supports insurance companies in analyzing customer data and behavior, AI algorithms can section customers, identify their preferences and needs, and tailor marketing messages and product recommendations. This drives customer engagement and loyalty by increasing cross-selling and upselling opportunities for market players.
- AI-powered solutions such as chatbots and virtual assistants are enabling insurers to meet customer demand for prompt and personalized support, which increases the demand, hence driving the market.
Technological Advancements
- Advanced technologies such as machine learning, natural language processing, and computer vision are highly demanded by insurance companies to track customers' behavior and maintain data in real time.
- The volatile growth of AI and machine learning has provided new opportunities to extract value from data.
- Moreover, large language modeling (LLM), is a branch of artificial intelligence handing out data contained in documents.
- Insurers use LLM to accelerate their claims processes and detect fraudulent claims with improved accuracy.
- Additionally, the evolution of Generative AI brings collected data, tools, and functions to provide a data handling and management solution for insurance companies.
Artificial Intelligence (AI) in Insurance Market Report Segmentation Analysis
Key segments that contributed to the derivation of artificial intelligence (AI) in insurance market analysis are offering, deployment, enterprise size, and end-users.
- Based on components, the artificial intelligence (AI) in the insurance market is divided into software and service. The software segment held a larger market share in 2023.
- By technology, the market is bifurcated into machine learning and deep learning, natural language processing (NLP), machine vision, and robotic automation. The machine learning and deep learning segment is anticipated to expand at a significant rate during the forecast period.
- In terms of deployment, artificial intelligence (AI) in the insurance market is segmented into cloud and on-premise. The cloud segment held a larger market share in 2023.
- By application, the market is segmented into claims management, risk management, compliance, chatbots, and others. The chatbot segment is projected to grow during the forecast period.
- based on end-users, the market is divided into life insurance, health insurance, title insurance, auto insurance, and others. The life insurance segment is anticipated to expand at a significant pace during the forecast period.
Artificial Intelligence (AI) in Insurance Market Share Analysis by Geography
The geographic scope of artificial intelligence (AI) in the insurance market report is mainly divided into five regions: North America, Asia Pacific, Europe, Middle East & Africa, and South & Central America.
- The market in Asia Pacific is projected to expand during the forecast period, due to technological advancements and the presence of key market players.
- IBM Corp, Microsoft Corp, and OpenText Corporation, among others, are engaged in developing, upgrading, and advancing their portfolio to meet their customers' dynamic needs is driving the market.
Artificial Intelligence (AI) in Insurance Market Regional Insights
The regional trends and factors influencing the Artificial Intelligence (AI) in Insurance Market throughout the forecast period have been thoroughly explained by the analysts at The Insight Partners. This section also discusses Artificial Intelligence (AI) in Insurance Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
Artificial Intelligence (AI) in Insurance Market Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2024 | US$ XX million |
| Market Size by 2031 | US$ XX Million |
| Global CAGR (2025 - 2031) | 32.7% |
| Historical Data | 2021-2023 |
| Forecast period | 2025-2031 |
| Segments Covered |
By Component
|
| Regions and Countries Covered |
North America
|
| Market leaders and key company profiles |
|
Artificial Intelligence (AI) in Insurance Market Players Density: Understanding Its Impact on Business Dynamics
The Artificial Intelligence (AI) in Insurance Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
- Get the Artificial Intelligence (AI) in Insurance Market top key players overview
Artificial Intelligence (AI) in Insurance Market News and Recent Developments
Artificial intelligence (AI) in insurance market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. A few of the developments in artificial intelligence (AI) in the insurance market are listed below:
- Swiss Re launches an augmented version of its Life & Health underwriting manual Life Guide. The new version comes equipped with Swiss Re Life Guide Scout, a Generative AI-powered underwriting assistant developed by Swiss Re, that integrates Microsoft Azure OpenAI Service. Life & Health insurance underwriting is a complex process that requires accurate and up-to-date information to assess an insurance applicant's risk. Swiss Re Life Guide Scout aims to help increase the efficiency and quality of underwriting by generating swift answers compiled from curated expert knowledge in response to questions asked by the underwriter in natural language. (Source: Swiss Re, Company Website, May 2024)
Artificial Intelligence (AI) in Insurance Market Report Coverage and Deliverables
The “Artificial Intelligence (AI) in Insurance Market Size and Forecast (2021–2031)” report provides a detailed analysis of the market covering below areas:
- Artificial intelligence (AI) in insurance market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
- Artificial intelligence (AI) in insurance market trends as well as market dynamics such as drivers, restraints, and key opportunities
- Detailed PEST/Porter’s Five Forces and SWOT analysis
- Artificial intelligence (AI) in insurance market analysis covering key market trends, global and regional framework, major players, regulations, and recent market developments
- Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments for artificial intelligence (AI) in the insurance market
- Detailed company profiles
Frequently Asked Questions
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Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.
Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Global, Regional, Country
- Industry and Competitive Landscape
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