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市场调查报告书
商品编码
1773191
金融服务的生成AI的全球市场:报价环,各部署模式,各技术,各终端用户,各地区,机会,预测,2018年~2032年Global generative AI in Financial Services Market Assessment, By Offerings, By Deployment Mode, By Technology, By End-user, By Region, Opportunities and Forecast, 2018-2032F |
全球金融服务生成式人工智慧市场规模预计将从2024年的20.7亿美元成长到2032年的126.3亿美元,在2025-2032年的预测期内,复合年增长率为25.37%。随着越来越多的金融机构利用先进技术优化营运、改善客户体验并进一步提升决策能力,金融服务生成式人工智慧市场正经历显着成长。生成式人工智慧包括能够产生类人内容并自动执行复杂任务的人工智慧模型。
随着越来越多的金融机构利用先进技术优化营运、改善客户体验并进一步提升决策能力,金融服务生成式人工智慧市场正经历显着成长。生成式人工智慧包括能够产生类人内容并自动执行复杂任务的人工智慧模型。从银行到保险、财富管理和金融科技,金融机构正以各种方式运用生成式人工智慧。用例包括自动报告、诈欺侦测、信用风险评估、投资咨询和客户服务聊天机器人。这项技术使银行和金融公司能够降低营运成本、提高效率,并为客户提供更个人化的服务。
此外,现在有大量非结构化资料(大数据)且还在不断增长,许多金融机构面临着满足监管合规性要求的压力。生成式人工智慧使金融机构能够即时分析大量数据,并产生有助于提升绩效和规划策略的想法。云端运算的采用、自然语言处理 (NLP) 的进步以及金融服务业日益增长的数位转型需求,进一步推动了生成式人工智慧在金融服务领域的应用。
例如,2024 年 5 月,埃森哲公司 (Accenture PLC) 和甲骨文公司 (Oracle Corporation) 宣布建立策略合作伙伴关係,共同打造由生成式人工智慧 (Generic AI) 驱动的工具和培训课程,财务团队可利用这些工具和培训课程实现财务规划、财务报告和财务决策的自动化,这一举动引起了广泛关注。这些进步显示企业层面对金融服务业 AI 驱动转型的持续投入。
本报告概述了全球金融服务产生式 AI 市场,包括按产品、部署模式、技术、最终用户和地理划分的市场概况,以及公司概况。
Global generative AI in financial services market is projected to witness a CAGR of 25.37% during the forecast period 2025-2032, growing from USD 2.07 billion in 2024 to USD 12.63 billion in 2032. The generative AI in financial services market is experiencing tremendous growth as more financial institutions leverage advanced technologies to optimize operations, enhance client experience, and further develop their decision-making capabilities. Generative AI involves AI models that generate human-like content and automate complex tasks.
The generative AI in financial services market is experiencing tremendous growth as more financial institutions leverage advanced technologies to optimize operations, enhance client experience, and further develop their decision-making capabilities. Generative AI involves AI models that generate human-like content and automate complex tasks. Financial institutions, ranging from banking to insurance, wealth management, and fintech, are leveraging generative AI in various ways. Use cases include automated report writing, fraud detection, credit risk assessment, investment advisory, and customer service chatbots. This technology enables banks and financial firms to reduce operational expenses, enhance efficiency, and deliver more personalized services to their clients.
Additionally, a substantial and growing amount of unstructured data (big data) exists today, and there is pressure on many financial institutions to meet regulatory compliance requirements. Generative AI will enable institutions to analyze large amounts of data in real-time and generate ideas that will help improve their performance and strategic planning. The adoption of Generative AI in the financial services market has been further bolstered by cloud adoption, advancements in natural language processing (NLP), and the growing demand for digital transformation in the financial services sector.
For instance, in May 2024, Accenture PLC and Oracle Corporation made headlines when they announced a strategic alliance to create generative AI-powered tools and training sessions for finance teams to use in automating financial planning, financial reporting, and financial decision-making. These advances are indicators of the continued enterprise-level investment in AI-powered transformation within the financial services industry.
Digital Transformation and Automation Needs Drives Market Growth
The financial services sector is at the edge of a significant digital transformation (in response to a need to modernize technical debt, including legacy systems, realize operational efficiencies, and remain competitive with a technology-enabled ecosystem). Generative Artificial Intelligence is likely to play a critical role in assisting finance professionals in overcoming a series of challenges, including complicated tasks and painstakingly slow processes associated with report generation, regulatory compliance documentation, credit risk modeling, and customer onboarding-related processes. While manual, time-consuming hand-offs may reduce costs, they also increase the risk of defects. Automated systems, such as generative AI, not only reduce operational expenses but also deliver value by ensuring repeatability, efficiency, and scalability, essential dimensions for sustainable growth.
Financial institutions are already utilizing AI technologies, including generative AI, in their internal workflows and decision-making processes, working toward organizational goals to resolve issues more quickly and make better-informed decisions and actions across departments. As financial institutions continue to deal with exponential data volumes and growing customer expectations for real-time services and information, the automation of individual tasks and steps in review and approval workflows will likely contribute to reducing unnecessary task volume.
For example, in June 2025, Goldman Sachs Group, Inc., a major player in global financial services, announced the rollout of its GS AI Assistant throughout the firm to automate tasks such as writing reports, generating replies, and summarizing documents. Initially piloted with 10,000 employees, the firm has since expanded to over 46,000 employees, enabling them to utilize the tool within the organization. By using an AI assistant, the firm gains the opportunity to enhance productivity, automate manual labor, and streamline its workflow. Advancement underscores the increasing role of generative AI in accelerating digital transformation in financial services.
Growing Demand for Personalized Financial Experiences Drives Market Growth
Consumers expect very personalized experience from their financial service providers. Whether it is personalized retail investment portfolio direction, insurance policies that reflect their lifestyle, or seamless and casual digital experiences, personalization has become a cornerstone of customer trust and loyalty. Generative AI makes this theoretical practice possible, as it enables financial institutions to more accurately assess each customer's needs, including transaction history, behavior, and preferences, resulting in unique experiences that are created in real-time. AI-enabled chatbots, robo-advisors, and personalized marketing have all converged to help drive customer engagement effectively, leading to either improved quality or responsiveness of service. Organizations can establish brand trust with customers and simultaneously create business opportunities for entirely new revenue streams.
For example, in March 2025, NatWest Group plc. partnered with OpenAI to augment its virtual assistant, Cora, with generative AI. The newly refreshed Cora offers more dynamic and natural conversations, providing personalized responses tailored to each customer based on their transaction history and behavior, and creating opportunities for entirely new revenue streams.
Dominance of Large Language Models (LLMs) in Financial Services
The current situation is characterized by the predominance of cloud-based LLM solutions in the generative AI market for financial services. Cloud-based LLMs and financial services, specifically banks, are leading the way in the generative AI in financial services market due to their scalability and ease of deployment, as well as the ability to automate many high-impact financial tasks (credit risk analysis, regulatory compliance, customer service, and personalized financial advisory). Banks are by far the primary users of these AI-enabled platforms, which enable them to adopt cutting-edge AI tools to leverage financial data, increase operational productivity, improve decision-making, and enhance client engagement. This segment is the foremost positive contributor to the overall growth of generative AI in the financial services market.
For instance, in June 2025, JPMorgan Chase & Co. received American Banker's "Innovation of the Year" award for its LLM Suite, a proprietary generative AI platform created internally to help employee productivity and content creation. The platform was launched in mid-2024 and acquired over 200,000 employees in eight months.
North America Dominates the Global Generative AI in Financial Services Market Size
North America is the largest region in the global generative AI in financial services market, driven by rapid adoption due to continuous innovation, high investment in AI R&D, the swift adoption of new technology by traditional financial institutions, and an excellent, well-educated workforce. The region comprises established global banking giants that also lead in financial technology (fintech) innovation and possess established AI capabilities within the financial services industry. These established banks will leverage generative AI capabilities to improve operational performance and efficiencies, add value to their customer experience, and make or assist in internal decision-making. Financial services firms based in the United States, particularly banking and wealth management firms, have begun embedding generative AI, including large language models (LLMs), AI-driven chatbots, and analytics platforms, for use in key functions. AI-run regulatory and innovation sandboxes enable institutions to leverage AI more effectively. A pre-existing, skilled workforce, the availability of domestic cloud infrastructure providers, and a host of fintech providers further support the adoption of new AI uses. Much of the progress in generative AI financial services to date has originated from AI projects initiated in North America, focusing on compliance automation, fraud detection, and personalized financial services.
For instance, in October 2024, Accenture PLC launched a focused business group in conjunction with NVIDIA Corp. to accelerate the adoption of generative AI across industries, including financial services. This initiative enables the faster implementation of AI-enabled solutions for operations, compliance, and customer engagement as they are launched into the market.
Key Players Landscape and Outlook
The global generative AI in financial services market is growing rapidly, with industries engaging primary banks, technology companies, cloud providers, and fintech startups. The financial services sector is utilizing generative AI to automate repetitive and routine tasks, enhance decision-making, improve customer experience, and ensure compliance amid growing regulatory scrutiny. Traditional financial institutions are leading the charge in developing proprietary generative AI tools for use throughout their daily processes, including credit risk assessments, client communications, compliance reports, and financial advisory services. Tech and cloud vendors provide the infrastructure to scale AI deployment securely and effectively. They also supply the enabling infrastructure to train and operate large language models (LLMs) to support these new paradigms.
Fintech companies offer AI capabilities or AI-based platform technology to support lending automation, web-based chatbots, and fraud detection and prevention, often in partnership with traditional financial institutions.
For instance, in 2024, Stripe announced a strengthened partnership with NVIDIA Corporation to enhance its AI-powered financial infrastructure, providing users worldwide with improved access to NVIDIA's AI platform. The collaboration focused on enhancing Stripe's generative AI capabilities in areas such as fraud detection, customer service, and personalized payments, signaling the increased integration of more sophisticated AI tools across fintech and global financial services.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.