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Agentic AI in Financial Services Market

Agentic AI in Financial Services Market Overview

According to Mordor Intelligence, the agentic AI in financial services market size was valued at USD 7.78 billion and is expected to reach USD 43.52 billion by 2031, supported by a strong growth outlook during the forecast period. The use of artificial intelligence and agentic systems in financial environments is expanding across banking, insurance, asset management, and financial technology ecosystems. The industry is seeing broader use in fraud monitoring, customer communication, compliance activities, and portfolio-related functions.

Financial organizations are increasingly assessing tools that can support workflows while helping teams respond faster to changing operational requirements. The market size is also influenced by deployment flexibility and the growing preference for cloud-based systems. Institutions are exploring solutions that fit their existing infrastructure while supporting secure and scalable use cases. As adoption spreads across regions and end-user groups, the agentic AI in financial services market forecast continues to attract industry attention.

Agentic AI in Financial Services Market Growth Drivers

Growing Demand for Fraud Detection

Fraud detection and anti-money laundering functions remain an important area within the market. Financial institutions are looking for systems that can help review large transaction volumes and support monitoring activities. This demand contributes to ongoing agentic AI in financial services market growth as organizations seek more efficient approaches to financial crime detection and compliance support. The increasing use of agentic systems in this area also contributes to changing market trends, particularly among banks and financial institutions managing complex risk environments.

Raising Interest in Virtual Assistants

Virtual assistants and chatbots are becoming more relevant within the industry. Financial institutions are using these applications to improve communication, address customer inquiries, and support service delivery. This trend is shaping the agentic AI in financial services market share across application segments as institutions look for customer-facing solutions that can support engagement while reducing operational pressure. Artificial intelligence tools with agentic capabilities are increasingly being evaluated for personalized financial experiences and customer insights.

Boosting Adoption Through Flexible Deployment Models

Deployment preferences continue to influence the market size. Cloud deployment remains an important option due to scalability and operational flexibility, while on-premise and hybrid environments continue to hold relevance for organizations with specific infrastructure and governance requirements. This mix of deployment approaches reflects broader agentic AI in financial services market trends, where institutions prioritize operational compatibility and implementation of flexibility.

Expanding Use Across Banking and Financial Institutions

The market growth is linked to wider use across commercial banks, investment institutions, insurance providers, and fintech companies. Applications involving underwriting, portfolio management, compliance support, and customer personalization are becoming more visible across the financial ecosystem. This broader adoption contributes to the agentic AI in financial services market forecast and highlights how different financial organizations are evaluating agentic systems for operational and customer-related functions.

Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/agentic-artificial-intelligence-in-financial-services-market?utm_source=abnewswire

Agentic AI in Financial Services Market Segmentation

By Application

• Fraud Detection and AML

• Virtual Assistants and Chatbots

• Risk Management and Compliance Automation

• Portfolio Management and Trading

• Credit Scoring and Underwriting

• Customer Insights and Personalization

• Other Niche Applications

By Component

• Solutions

• Agentic-AI Platforms

• SDKs and Frameworks

• Services

• Professional Services

• Managed Services

By Deployment Mode

• Cloud

• On-premise

• Hybrid

By End-User

• Commercial Banks

• Investment Banks and Asset Managers

• Insurance Companies

• FinTechs and Neobanks

• Regulatory and Compliance Firms

• Other Financial Institutions

By Geography

• North America

• United States

• Canada

• Mexico

• South America

• Brazil

• Argentina

• Rest of South America

• Europe

• United Kingdom

• Germany

• France

• Italy

• Spain

• Russia

• Rest of Europe

• Asia-Pacific

• China

• Japan

• India

• South Korea

• ASEAN

• Rest of Asia-Pacific

• Middle East and Africa

• Middle East

• United Arab Emirates (UAE)

• Saudi Arabia

• Turkey

• Qatar

• Rest of Middle East

• Africa

• South Africa

• Nigeria

• Egypt

• Rest of Africa

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Agentic AI in Financial Services Market Key Players

The competitive landscape of the agentic AI in financial services market includes established technology and analytics providers supporting financial institutions with platforms, services, and data-driven capabilities. Organizations operating in this space continue to strengthen their presence through broad technology portfolios and financial-sector expertise.

Key participants covered include Microsoft Corporation, International Business Machines Corporation (IBM), Alphabet Inc. (Google), Amazon Web Services, Inc., and SAS Institute Inc. These companies contribute to the broader agentic AI in financial services industry through solutions relevant to analytics, cloud infrastructure, customer interaction, and enterprise-level financial applications.

Conclusion

The agentic AI in financial services market reflects increasing interest in intelligent systems designed for financial operations, compliance support, customer interaction, and decision-related workflows. The market outlook is shaped by application diversity, deployment flexibility, and adoption across banking and financial institutions.

The market outlook is influenced by the growing demand for faster financial services, real-time data processing, and personalized customer experiences. Banks and financial institutions are exploring different deployment models, including cloud-based and on-premise solutions, depending on their security, scalability, and regulatory requirements. The increasing use of digital banking platforms, automated financial workflows, and AI-powered virtual assistants is also supporting wider market adoption.

Industry Related Reports:

Agentic AI in Retail and eCommerce Market

The agentic AI in retail and eCommerce market is estimated at USD 60.43 billion in 2026 and is projected to reach USD 218.37 billion by 2031, growing at a CAGR of 29.29% during 2026-2031. Market growth is supported by rising adoption of autonomous AI agents for dynamic pricing, supply-chain management, and personalized customer engagement. Retailers are also investing in AI-powered automation to reduce operational costs, improve store efficiency, and enhance customer experiences.

Agentic AI Frameworks Market Share

The agentic AI frameworks market was valued at USD 2.99 billion in 2025 and is expected to reach USD 15.48 billion by 2030, registering a CAGR of 38.94% during the forecast period. Growth is driven by increasing enterprise demand for workflow automation, large-language-model integration, and customizable AI architectures. The growing popularity of open-source frameworks and cloud-based deployments is also encouraging adoption among both large enterprises and SMEs.

Agentic AI Market Growth

The agentic AI market size was valued at USD 6.96 billion in 2025 and is forecast to reach USD 57.42 billion by 2031, growing at a CAGR of 42.14% during 2026-2031. The market is expanding due to increasing enterprise adoption of autonomous systems, advancements in AI reasoning models, and growing use of multi-agent orchestration platforms. Rising cloud-based deployments and strong investment activity are further supporting market demand across industries.

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