AI Agents In Financial Services Market Size, Share & Trends Analysis Report By Type (Risk Management Agents, Compliance and Regulatory Agents, Fraud Detection Agents), By Institutional Type, By Technology, By Region, And Segment Forecasts, 2025 - 2030

AI Agents In Financial Services Market Summary

These intelligent systems manage tasks ranging from customer onboarding and 24/7 support to fraud detection and real-time investment management, making tasks more efficient and secure. By leveraging ML and NLP, AI agents provide tailored financial advice, optimize portfolios, and streamline compliance, all while reducing costs and errors. As financial institutions race to adopt advanced technologies, AI agents are becoming imperative for operational improvements, driving innovation, and staying competitive in a fast-evolving industry.

Market expansion is further fueled by technological innovations and changing consumer expectations. Customers now demand seamless, personalized digital capabilities, and AI agents are central to meeting these expectations. The rise of cloud computing has lowered the obstacles to deploying AI agents, allowing smaller institutions to leverage complex AI capabilities without massive infrastructure investments. As AI agents become more advanced in financial services, their roles expand from routine tasks to complex decision-making and strategic advisory functions.

However, this rapid growth is not without challenges. Concerns around data privacy, ethical AI deployment, and regulatory compliance are prominent. Financial institutions must navigate these issues carefully to build trust and ensure responsible AI integration. Despite these hurdles, the momentum behind AI agents in financial services is unmistakable. Their ability to drive efficiently, enhance customer engagement, and unlock new business opportunities positions them as a cornerstone of the industry’s digital future.

Type Insights

The fraud detection agents segment led the market and accounted for 33.4% of the global revenue in 2024. AI fraud detection agents are rapidly transforming financial services by enhancing the ability to identify and prevent increasingly complex fraudulent activities. Financial institutions are heavily investing in AI-driven solutions that use machine learning, behavioral analytics, and real-time data monitoring to detect anomalies and suspicious patterns quickly. For instance, in April 2025, Juniper Payments announced an embedded AI-driven fraud prevention engine in its Payments hub, enabling real-time fraud detection at payment origin to support instant payments for banks and credit unions, reducing false positives and enhancing risk scoring across payment types.

The customer service agents segment is predicted to account for significant growth in the forecast period as innovations in AI agents and technologies are evolving. AI-powered customer service agents are transforming financial services by streamlining operations and enhancing customer interactions. Financial institutions increasingly deploy AI to handle routine inquiries, fraud detection, and personalized financial advice, freeing human agents for complex tasks. For instance, in May 2024, RetailBank Corp implemented an AI-integrated customer service platform featuring chatbots and voice assistants. This reduced average response times by over 70% and cut calls requiring human agents by 50%, allowing human staff to focus on complex issues and significantly improving customer satisfaction.

Institutional Type Insights

The traditional banks segment accounted for the largest market revenue share in 2024. Traditional banks gradually implement AI agents across institutional functions to improve financial services. They influence AI for improved customer interactions through chatbots and virtual assistants, automate back-office processes, and improve fraud detection and risk management. AI-driven predictive analytics help in better decision-making, personalized product offerings, and dynamic credit scoring. Banks also partner with AI technology suppliers to accelerate innovation and address talent gaps. This integration leads to increased operational efficiency, reduced costs, and enhanced customer satisfaction, positioning banks to stay competitive in a rapidly evolving digital landscape.

The FinTech companies segment is predicted to foresee significant growth in the forecast period. FinTech companies deploying institutional AI agents in financial services are seeing significant growth, driven by the rapid adoption of AI technologies for fraud detection, risk management, customer service automation, and algorithmic trading. Moreover, the market is driving due to the need for real-time insights, enhanced compliance, and improved operational efficiency. AI-powered chatbots, virtual assistants, and advanced analytics are reshaping how financial institutions operate, leading to faster decision-making and better customer experiences.

Technology Insights

The Large Language Models (LLMs) segment accounted for the largest market revenue share in 2024. Machine Learning and Optimization enhance decision-making and operational efficiency across various industries. These technologies utilize vast amounts of data to identify patterns, make predictions, and optimize processes, leading to more informed and effective business strategies. In March 2025, Uptiq launched the AI Workbench Developer Edition, a platform empowering developers to create AI Agents for financial services using low-code/no-code tools and supporting over 16 Large Language Models (LLMs). The platform enables the design, fine-tuning, and deployment of custom AI agents for workflows like lending, credit underwriting, and customer service automation with enterprise-grade security.

The Robotic Process Automation (RPA) segment is projected to grow significantly over the forecast period. Robotic Process Automation (RPA) lays the foundation for AI agents in financial services by automating repetitive, rule-based processes such as data movement, document processing, and compliance checks, thus freeing up human talent for higher-value work. As financial institutions integrate RPA with AI, these agents evolve from simple task automation to intelligent decision-making, content generation, and customer interaction, driving operational efficiency and rapid innovation.

Regional Insights

North America dominated the market and accounted for a 38.4% share in 2024. AI agents are rapidly transforming financial services in North America, driven by early adoption, strong investment, and a robust tech ecosystem. They are widely used for automating customer service, fraud detection, risk management, and personalized financial advice, enhancing both efficiency and customer experience. Major initiatives include, for instance, in March 2025, Oracle Financial Services introduced AI agents in its Investigation Hub Cloud Service to automate and accelerate financial crime investigations, reducing manual work and improving decision consistency for financial institutions globally.

U.S. AI Agents in Financial Services Market Trends

The AI agents in financial services market in the U.S. is accelerating rapidly, with major banks and fintech firms integrating them across functions such as customer support, fraud monitoring, and compliance. Institutions are leveraging AI agents to streamline operations, reduce response times, and deliver personalized financial advice. The growing availability of enterprise-grade AI tools and cloud infrastructure is making deployment faster and more cost-effective. This trend reflects a broader shift toward intelligent automation as a strategic priority in the U.S. financial sector.

Europe AI Agents in Financial Services Market Trends

The AI agents in financial services market in Europe is witnessing significant momentum, particularly in banking and insurance, where firms are deploying them to improve customer service, risk analysis, and compliance workflows. A growing number of European institutions are prioritizing AI integration to meet rising expectations for digital efficiency and personalization. Despite regulatory complexities and workforce readiness concerns, investment in AI-powered solutions continues to rise. This reflects a clear shift toward embedding intelligent automation at the core of financial operations across the region.

Asia Pacific AI Agents in Financial Services Trends

The AI agents in financial services market in Asia Pacific is anticipated to register the fastest CAGR over the forecast period. AI agents are rapidly transforming financial services across Asia Pacific, with institutions in markets like China, India, and Japan leading in deployment. These agents are being widely used to enhance customer engagement, automate back-office functions, and strengthen fraud detection systems. Financial firms are increasingly viewing AI as a strategic tool to improve efficiency and meet rising digital expectations. A strong push for innovation and government-backed digital finance initiatives across the region supports this shift.

Key AI Agents in Financial Services Company Insights

Prominent firms have used product launches and developments, followed by expansions, mergers and acquisitions, contracts, agreements, partnerships, and collaborations, as their primary business strategy to increase their market share. The companies have used various techniques to enhance market penetration and boost their position in the competitive industry.

• Amazon Web Services (AWS) empowers financial services companies with advanced AI agents and cloud technologies to transform customer experiences, streamline operations, and enhance decision-making. By leveraging AWS AI solutions such as Amazon Bedrock and Amazon Q, financial institutions can automate processes like fraud detection, customer onboarding, and personalized client interactions while improving data analytics and regulatory compliance. These AI-driven tools help uncover hidden financial patterns, mitigate risks, and deliver tailored services, enabling organizations to stay agile and competitive in a rapidly evolving industry.

• FICO is a leader in analytics and decision management, renowned for pioneering AI agents, predictive analytics, and mathematical algorithms to transform financial services. Its flagship FICO Score is the industry standard for assessing consumer credit risk, used by 90% of top US lenders to drive lending decisions, manage risk, and fight fraud. FICO’s AI-powered solutions help financial institutions optimize operations, ensure regulatory compliance, and deliver more profitable customer relationships. Leveraging big data, open-source standards, and cloud computing, FICO empowers businesses to make billions of precise, agile decisions every year across the financial sector.

Recent Developments

• In March 2025, Oracle Financial Services launched new agentic AI capabilities within its Investigation Hub Cloud Service to help financial institutions tackle financial crime more effectively. These AI agents automate investigative processes, uncover complex fraud patterns, and generate generative AI-driven narratives, significantly reducing manual work and enabling investigators to focus on high-priority leads. The enhanced solution is now available globally, empowering organizations of all sizes to make financial investigations more predictable, thorough, and efficient.

• In March 2025, Auquan announced the launch of its industry-first risk agent, an AI agent purpose-built for risk monitoring and detection in financial services. Unlike traditional tools, Auquan’s risk agent autonomously accomplishes entire risk monitoring and reporting workflows, providing early warning detection of emerging risks across investment and credit portfolios. The risk agent draws from over two million data sources in over 65 languages, delivering unparalleled risk visibility and situational awareness for global institutions.

• In March 2025, Accenture expanded its AI refinery platform by launching a no-code AI agent builder and over 50 industry-specific AI agent solutions, aiming for 100 by year-end. These new solutions, built on NVIDIA AI Enterprise, empower business users to rapidly create and customize advanced reasoning AI agents for sectors like financial services, insurance, and telecommunications. Early adopters such as ESPN, HPE, Noli, and the United Nations are leveraging these innovations to enhance efficiency and engagement. The expansion accelerates agentic AI adoption, enabling organizations to quickly scale networks of intelligent agents and reinvent core business processes for greater agility and value creation.

AI Agents in Financial Services Market Report Scope

Global AI Agents in Finance Services Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global AI Agents in financial services market report based on type, institution type, technology and region:

• Type Outlook (Revenue, USD Million, 2018 - 2030)

  • Risk Management Agents

  • Compliance and Regulatory Agents

  • Fraud Detection Agents

  • Customer Service Agents

  • Credit Scoring Agents

  • Others

• Institutional Type Outlook (Revenue, USD Million, 2018 - 2030)

  • Traditional Banks

  • InsurTech Firms

  • FinTech Companies

  • Others

• Technology Outlook (Revenue, USD Million, 2018 - 2030)

  • Machine Learning (ML) & Deep Learning

  • Large Language Models (LLMs)

  • Robotic Process Automation (RPA)

  • Cloud Computing & APIs

  • Others

• Regional Outlook (Revenue, USD Million, 2018 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • UK

    • Germany

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

  • Middle East and Africa (MEA)

    • KSA

    • UAE

    • South Africa