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금융 서비스용 AI 에이전트 시장 규모, 점유율과 동향 분석 보고서 : 유형별, 기관 유형별, 기술별, 지역별, 부문 예측(2026-2033년)

AI Agents In Financial Services Market Size, Share & Trends Analysis Report By Type, By Institutional Type, By Technology, By Region, And Segment Forecasts, 2026 - 2033

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 150 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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금융 서비스용 AI 에이전트 시장 요약

세계의 금융 서비스용 AI 에이전트 시장 규모는 2025년에 6억 9,130만 달러로 추정되며, 2033년까지 67억 800만 달러에 달할 것으로 예측됩니다.

2026-2033년 연평균 복합 성장률(CAGR) 31.5%를 나타낼 것으로 예측됩니다. AI 에이전트는 복잡한 프로세스의 자동화, 의사결정 개선, 개인화된 고객 경험 제공을 통해 금융 서비스를 빠르게 변화시키고 있습니다.

이러한 지능형 시스템은 고객 온보딩 및 24시간 365일 지원부터 부정행위 감지 및 실시간 투자 관리까지 다양한 업무를 관리하여 업무의 효율성과 안전성을 향상시킵니다. AI를 통한 자동화와 디지털화는 금융 서비스 산업을 점점 더 많이 형성하고 있으며, 많은 기업이 이러한 솔루션을 적극적으로 도입하고 있습니다. AI 에이전트는 핵심 뱅킹 및 보험 업무의 효율화를 지원하고, 수작업의 부담을 줄여줍니다. 자연 언어 인터페이스를 통해 금융 데이터와 쉽게 상호 작용할 수 있습니다. 실시간 인사이트과 예측 분석은 의사결정의 속도와 정확성을 향상시킵니다. 기존 플랫폼에 AI를 통합하면 조직 전반에서 확장 가능한 디지털 전환을 지원할 수 있습니다. 예를 들어 2025년 6월 독일 금융 기술 기업 SAP 파이오니어(SAP Fioneer)는 핵심 은행 및 보험 업무를 혁신하는 AI 에이전트를 발표했습니다. 이 솔루션은 프로세스 자동화, 실시간 인사이트 제공, 자연 언어를 이용한 재무 데이터와의 상호 작용을 가능하게 하며, SAP의 금융 서비스 플랫폼과 통합되어 있습니다.

AI 기반의 자동화와 지능형 의사결정 지원은 금융 서비스를 변화시키고 있습니다. AI 에이전트는 회계, 보고, 워크플로우 프로세스의 효율화를 돕고 수작업을 줄여줍니다. 자연 언어 인터페이스를 통해 사용자는 재무 데이터에 더 쉽게 접근하고 분석할 수 있습니다. AI 에이전트의 실시간 인사이트는 의사결정의 정확성과 속도를 향상시킵니다. 자동화는 또한 오류를 최소화하고 업무 효율성을 높이는데 기여합니다. 많은 기업이 재무 업무 개선을 위해 이러한 AI 솔루션을 적극적으로 도입하고 있습니다. 이러한 발전이 AI 기반 금융 툴 시장의 성장을 촉진하고 있습니다. 예를 들어 지난 11월 영국에 본사를 둔 금융 기술 기업 Sage Group plc는 Sage Intacct 제품군내 새로운 AI 에이전트인 'Finance Intelligence Agent'를 발표했습니다. 이 에이전트는 자율적으로 인사이트을 제공하고, 회계 워크플로우를 자동화하며, 자연 언어 쿼리를 적절한 재무 데이터 소스로 라우팅하여 수동 보고 작업을 줄여줍니다.

생성형 AI와 기업 시스템의 통합은 더 깊은 자동화와 지능화를 가능하게 함으로써 금융 서비스 분야에서 AI 에이전트의 도입을 가속화할 것입니다. 코어뱅킹, ERP, CRM 플랫폼에 대한 액세스를 통해 AI 에이전트는 실시간 고품질 기업 데이터를 기반으로 작동할 수 있습니다. 이 기능은 여신심사, 부정행위 감지, 리스크 관리의 의사결정을 강화합니다. 자동화된 보고서 생성, 컴플라이언스 문서, 인사이트를 통해 수작업의 부담과 운영 비용을 절감할 수 있습니다. 개인화된 금융 안내와 고객 응대는 사용자 경험과 고객 유지율을 향상시킵니다. 원활한 시스템 통합을 통해 프론트 오피스, 미들 오피스, 백 오피스 기능 전반에 걸친 엔드 투 엔드 워크플로우 조정이 가능합니다. 빠른 데이터 처리 속도를 통해 금융기관은 시장 및 규제 변화에 빠르게 대응할 수 있습니다. 확장성 향상은 금융회사가 여러 사업 부문에 AI 에이전트를 배치하는 것을 촉진합니다.

자주 묻는 질문

  • 금융 서비스용 AI 에이전트 시장 규모는 어떻게 예측되나요?
  • AI 에이전트가 금융 서비스에 미치는 영향은 무엇인가요?
  • AI 에이전트의 주요 기능은 무엇인가요?
  • AI 에이전트의 도입이 기업에 미치는 효과는 무엇인가요?
  • AI 에이전트의 통합이 금융 서비스에 미치는 영향은 무엇인가요?

목차

제1장 조사 방법과 범위

제2장 개요

제3장 금융 서비스용 AI 에이전트 시장 변수, 동향 및 범위

제4장 금융 서비스용 AI 에이전트 시장 : 유형별 추정·동향 분석

제5장 금융 서비스용 AI 에이전트 시장 : 기관 유형별 추정·동향 분석

제6장 금융 서비스용 AI 에이전트 시장 : 기술별 추정·동향 분석

제7장 금융 서비스용 AI 에이전트 시장 : 지역별 추정·동향 분석

제8장 경쟁 구도

KSA 26.03.20

AI Agents In Financial Services Market Summary

The global AI agents in financial services market size was estimated at USD 691.3 million in 2025 and is projected to reach USD 6,708.0 million by 2033, growing at a CAGR of 31.5% from 2026 to 2033. AI agents are rapidly transforming financial services by automating complicated processes, improving decision-making, and serving personalized customer experiences.

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. AI-driven automation and digitalization are increasingly shaping financial services, and several companies are actively implementing these solutions. AI agents help streamline core banking and insurance operations, reducing manual workloads. Natural language interfaces enable easier interaction with financial data. Real-time insights and predictive analytics improve decision-making speed and accuracy. Integration of AI into existing platforms supports scalable digital transformation across the. For instance, in June 2025, SAP Fioneer, a German financial technology company, launched its AI Agent to transform core banking and insurance operations. This solution automates processes, provides real-time insights, and allows users to interact with financial data using natural language, all integrated with SAP's financial services platforms.

AI-driven automation and intelligent decision support are transforming financial services. AI agents help streamline accounting, reporting, and workflow processes, reducing manual effort. Natural language interfaces make accessing and analyzing financial data easier for users. Real-time insights from AI agents improve accuracy and speed in decision-making. Automation also helps minimize errors and enhances operational efficiency. Many companies are actively implementing these AI solutions to improve financial operations. These developments are driving growth in the AI-powered financial tools market. For instance, in November 2025, Sage Group plc, a UK-based financial technology company, announced the Finance Intelligence Agent, a new AI agent within its Sage Intacct suite that autonomously delivers insights, automates accounting workflows, and routes natural language queries to the right financial data sources, reducing manual reporting work.

Integration of generative AI with enterprise systems accelerates the adoption of AI agents across financial services by enabling deeper automation and intelligence. Access to core banking, ERP, and CRM platforms allows AI agents to operate on real-time, high-quality enterprise data. This capability enhances decision-making across credit assessment, fraud detection, and risk management. Automated report generation, compliance documents, and insights reduce manual workloads and operational costs. Personalized financial guidance and customer interactions improve user experience and retention. Seamless system integration supports end-to-end workflow orchestration across front-, middle-, and back-office functions. Faster data processing enables institutions to respond quickly to market and regulatory changes. Improved scalability encourages financial firms to deploy AI agents across multiple business units.

Global AI Agents In Financial Services Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. 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, 2021 - 2033)
  • Risk Management Agents
  • Compliance and Regulatory Agents
  • Fraud Detection Agents
  • Customer Service Agents
  • Credit Scoring Agents
  • Others
  • Institutional Type Outlook (Revenue, USD Million, 2021 - 2033)
  • Traditional Banks
  • InsurTech Firms
  • FinTech Companies
  • Others
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Machine Learning (ML) & Deep Learning
  • Large Language Models (LLMs)
  • Robotic Process Automation (RPA)
  • Cloud Computing & APIs
  • Others
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • 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

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definition
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. AI Agents in Financial Services market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. AI Agents in Financial Services Market Analysis Tools
    • 3.3.1. Porter's Analysis
    • 3.3.2. PESTEL Analysis

Chapter 4. AI Agents in Financial Services market: Type Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. AI Agents in Financial Services market: Type Movement Analysis, 2025 & 2033 (USD Million)
  • 4.3. Risk Management Agents
    • 4.3.1. Risk Management Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.4. Compliance and Regulatory Agents
    • 4.4.1. Compliance and Regulatory Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.5. Fraud Detection Agents
    • 4.5.1. Fraud Detection Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.6. Customer Service Agents
    • 4.6.1. Customer Service Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.7. Credit Scoring Agents
    • 4.7.1. Credit Scoring Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.8. Others
    • 4.8.1. Others AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. AI Agents in Financial Services market: Institutional Type Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. AI Agents in Financial Services market: Institutional Type Movement Analysis, 2025 & 2033 (USD Million)
  • 5.3. Traditional Banks
    • 5.3.1. Traditional Banks AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.4. InsurTech Firms
    • 5.4.1. InsurTech firms AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.5. FinTech Companies
    • 5.5.1. FinTech companies AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.6. Others
    • 5.6.1. Others AI Agents in Financial Services Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. AI Agents in Financial Services market: Technology Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. AI Agents in Financial Services market: Technology Movement Analysis, 2025 & 2033 (USD Million)
  • 6.3. Machine Learning (ML) & Deep Learning
    • 6.3.1. Machine Learning (ML) & Deep Learning AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.4. Large Language Models (LLMs)
    • 6.4.1. Large Language Models (LLMs) AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.5. Robotic Process Automation (RPA)
    • 6.5.1. Robotic Process Automation (RPA) AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.6. Cloud Computing & APIs
    • 6.6.1. Cloud Computing & APIs AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.7. Others
    • 6.7.1. Others AI Agents in Financial Services market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. AI Agents in Financial Services Market: Regional Estimates & Trend Analysis

  • 7.1. AI Agents in Financial Services market Share, By Region, 2025 & 2033, USD Million
  • 7.2. North America
    • 7.2.1. North America AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.2.3. Canada
      • 7.2.3.1. Canada AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.2.4. Mexico
      • 7.2.4.1. Mexico AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.3. Europe
    • 7.3.1. Europe AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.3.2. UK
      • 7.3.2.1. UK AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.3.3. Germany
      • 7.3.3.1. Germany AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.3.4. France
      • 7.3.4.1. France AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.4.2. China
      • 7.4.2.1. China AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.4.3. Japan
      • 7.4.3.1. Japan AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.4.4. India
      • 7.4.4.1. India AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.4.5. South Korea
      • 7.4.5.1. South Korea AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.4.6. Australia
      • 7.4.6.1. Australia AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Latin America AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.6.2. KSA
      • 7.6.2.1. KSA AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.6.3. UAE
      • 7.6.3.1. UAE AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 7.6.4. South Africa
      • 7.6.4.1. South Africa AI Agents in Financial Services market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization
  • 8.2. Company Market Positioning
  • 8.3. Participant's Overview
  • 8.4. Financial Performance
  • 8.5. Type Benchmarking
  • 8.6. Company Heat Map Analysis
  • 8.7. Strategy Mapping
  • 8.8. Company Profiles/Listing
    • 8.8.1. Accenture
      • 8.8.1.1. Participant's Overview
      • 8.8.1.2. Financial Performance
      • 8.8.1.3. Product Benchmarking
      • 8.8.1.4. Recent Developments
    • 8.8.2. Amazon Web Services, Inc.
      • 8.8.2.1. Participant's Overview
      • 8.8.2.2. Financial Performance
      • 8.8.2.3. Product Benchmarking
      • 8.8.2.4. Recent Developments
    • 8.8.3. FICO
      • 8.8.3.1. Participant's Overview
      • 8.8.3.2. Financial Performance
      • 8.8.3.3. Product Benchmarking
      • 8.8.3.4. Recent Developments
    • 8.8.4. Microsoft
      • 8.8.4.1. Participant's Overview
      • 8.8.4.2. Financial Performance
      • 8.8.4.3. Product Benchmarking
      • 8.8.4.4. Recent Developments
    • 8.8.5. NVIDIA
      • 8.8.5.1. Participant's Overview
      • 8.8.5.2. Financial Performance
      • 8.8.5.3. Product Benchmarking
      • 8.8.5.4. Recent Developments
    • 8.8.6. Salesforce
      • 8.8.6.1. Participant's Overview
      • 8.8.6.2. Financial Performance
      • 8.8.6.3. Product Benchmarking
      • 8.8.6.4. Recent Developments
    • 8.8.7. SAP
      • 8.8.7.1. Participant's Overview
      • 8.8.7.2. Financial Performance
      • 8.8.7.3. Product Benchmarking
      • 8.8.7.4. Recent Developments
    • 8.8.8. Oracle
      • 8.8.8.1. Participant's Overview
      • 8.8.8.2. Financial Performance
      • 8.8.8.3. Product Benchmarking
      • 8.8.8.4. Recent Developments
    • 8.8.9. Temenos
      • 8.8.9.1. Participant's Overview
      • 8.8.9.2. Financial Performance
      • 8.8.9.3. Product Benchmarking
      • 8.8.9.4. Recent Developments
    • 8.8.10. Upstart
      • 8.8.10.1. Participant's Overview
      • 8.8.10.2. Financial Performance
      • 8.8.10.3. Product Benchmarking
      • 8.8.10.4. Recent Developments
    • 8.8.11. WorkFusion
      • 8.8.11.1. Participant's Overview
      • 8.8.11.2. Financial Performance
      • 8.8.11.3. Product Benchmarking
      • 8.8.11.4. Recent Developments
    • 8.8.12. Zest AI
      • 8.8.12.1. Participant's Overview
      • 8.8.12.2. Financial Performance
      • 8.8.12.3. Product Benchmarking
      • 8.8.12.4. Recent Developments
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