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市場調査レポート
商品コード
1665960
保険におけるジェネレーティブAIの市場規模、シェア、成長分析、採用技術別、用途別、保険タイプ別、顧客セグメント別、サービスモデル別、地域別 - 産業予測、2025-2032年Generative AI in Insurance Market Size, Share, and Growth Analysis, By Technology Adoption, By Application, By Insurance Type, By Customer Segment, By Service Model, By Region - Industry Forecast 2025-2032 |
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保険におけるジェネレーティブAIの市場規模、シェア、成長分析、採用技術別、用途別、保険タイプ別、顧客セグメント別、サービスモデル別、地域別 - 産業予測、2025-2032年 |
出版日: 2025年02月26日
発行: SkyQuest
ページ情報: 英文 203 Pages
納期: 3~5営業日
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保険におけるジェネレーティブAIの世界市場規模は2023年に523億米ドルと評価され、2024年の690億9,000万米ドルから2032年には6,406億6,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは32.1%で成長する見通しです。
保険業界では、業務効率と顧客体験の向上への注目が高まっており、ジェネレーティブAIソリューションの需要が高まっています。ジェネレーティブAI技術の進歩が続き、研究開発への投資が増加するにつれて、市場は今後数年間で大きく成長する見通しです。顧客サポートの向上とパーソナライズされた保険サービスの提供が重視されることで、保険会社内でのジェネレーティブAIの採用がさらに加速すると思われます。さらに、顧客との対話にチャットボットやAIアシスタントが統合されることで、革新の新たな機会が創出されます。しかし、データプライバシーに関する懸念、導入コスト、信頼性と透明性の欠如、熟練した専門家の不足といった課題が、予測期間中およびそれ以降の市場拡大を妨げる可能性があります。
Global Generative AI in Insurance Market size was valued at USD 52.3 billion in 2023 and is poised to grow from USD 69.09 billion in 2024 to USD 640.66 billion by 2032, growing at a CAGR of 32.1% during the forecast period (2025-2032).
The insurance industry is witnessing a growing focus on enhancing operational efficiency and customer experience, driving the demand for Generative AI solutions. As advancements in Generative AI technology continue and investments in research and development increase, the market is poised for significant growth in the coming years. The emphasis on improving customer support and personalized insurance offerings will further accelerate the adoption of Generative AI within insurance companies. Additionally, the integration of chatbots and AI assistants in customer interactions is set to create new opportunities for innovation. However, challenges such as data privacy concerns, implementation costs, a lack of trust and transparency, and a shortage of skilled professionals may hinder market expansion during the forecast period and beyond.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Generative AI In Insurance market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Generative AI In Insurance Market Segments Analysis
Global Generative AI in Insurance Market is segmented by Technology Adoption, Application, Insurance Type, Customer Segment, Service Model and region. Based on Technology Adoption, the market is segmented into Natural Language Processing, Machine Learning, Predictive Analytics and Computer Vision. Based on Application, the market is segmented into Underwriting, Claims Processing, Fraud Detection and Customer Service. Based on Insurance Type, the market is segmented into Life Insurance, Health Insurance, Automobile Insurance and Property Insurance. Based on Customer Segment, the market is segmented into Individual Policyholders, Small to Medium Enterprises and Large Corporations. Based on Service Model, the market is segmented into Cloud-Based Solutions and On-Premises Solutions. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Generative AI In Insurance Market
The global Generative AI market in the insurance sector is being significantly driven by the industry's emphasis on enhancing operational efficiency to expand business opportunities and boost revenue in the future. Insurance companies are increasingly leveraging Generative AI models to automate critical processes, such as claims processing and underwriting, which leads to streamlined operations. Additionally, the adoption of Generative AI contributes to better service delivery and substantial reductions in operational costs, making it an appealing choice for insurance providers aiming to stay competitive in a rapidly evolving market landscape.
Restraints in the Global Generative AI In Insurance Market
The Global Generative AI in Insurance market faces significant restraints due to the sensitive nature of customer data that insurance companies manage. The implementation of Generative AI models, which require access to this critical information, raises considerable privacy and security concerns. As a result, insurance firms must navigate a complex landscape of compliance with data protection regulations, which can hinder the growth potential of Generative AI within the sector. This challenge underscores the pressing need for robust frameworks and strategies to ensure that the deployment of AI technologies does not compromise data integrity or regulatory standards.
Market Trends of the Global Generative AI In Insurance Market
The Global Generative AI in Insurance market is witnessing a significant trend towards personalization and customization, as insurers increasingly leverage advanced AI technologies to deliver tailored services and enhanced user experiences. By harnessing Generative AI, companies are able to create on-demand insurance policies that address the unique needs and preferences of today's diverse clientele. This shift not only fosters customer satisfaction and loyalty but also opens up new business avenues for insurers to innovate their offerings. As the demand for personalized solutions grows, the market is expected to expand rapidly, driven by advancements in AI capabilities and changing consumer expectations.