금융 서비스용 AI 에이전트 시장 : 규모, 점유율, 동향 분석 보고서 - 유형별, 금융기관 유형별, 기술별, 지역별 부문 예측(2025-2030년)
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
상품코드
:
1726351
리서치사
:
Grand View Research, Inc.
발행일
:
2025년 04월
페이지 정보
:
영문 150 Pages
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시장 규모와 동향 :
세계의 금융 서비스용 AI 에이전트 시장 규모는 2024년에 4억 9,020만 달러에 달했고, 2025년부터 2030년까지 연평균 복합 성장률(CAGR) 45.4%를 나타낼 것으로 예측됩니다.
AI 에이전트는 복잡한 프로세스를 자동화하고 의사결정을 개선하며 개인화된 고객 경험을 제공함으로써 금융 서비스를 급속히 변화시키고 있습니다. ML과 NLP를 활용하여 AI 에이전트는 맞춤형 금융 조언을 제공하고 포트폴리오를 최적화하고 규정 준수를 합리화합니다.
시장의 확대는 기술 혁신과 소비자의 기대 변화로 더욱 가속화되고 있습니다. 클라우드 컴퓨팅의 등장으로 AI 에이전트 배포의 장애물이 낮아져 소규모 기관에서도 대규모 인프라 투자 없이 복잡한 AI 기능을 활용할 수 있게 되었습니다. 중소의 금융기관은 대규모 인프라 투자를 실시하지 않고 복잡한 AI 기능을 활용할 수 있게 되었습니다.
그러나 이 급성장에는 과제가 없는 것은 아닙니다. 데이터 프라이버시, 윤리적 인공지능 개발, 규제 준수에 대한 우려가 두드러집니다. 금융기관은 신뢰를 구축하고 책임있는 AI 통합을 보장하기 위해 이러한 문제를 신중하게 탐색해야 합니다. 이러한 장애물이 있음에도 불구하고 금융 서비스용 AI 에이전트의 기세는 분명합니다. 효율적인 추진, 고객 참여 강화, 새로운 비즈니스 기회 개척을 가능하게 하는 AI 에이전트는 금융 업계의 디지털 미래 초석으로 자리매김하고 있습니다.
목차
제1장 분석 방법·범위
제2장 주요 요약
제3장 금융 서비스용 AI 에이전트 시장 : 변동 요인, 동향 및 범위
- 시장 개요/연관 전망
- 시장 역학
- 시장 성장 촉진요인 분석
- 시장 성장 억제요인 분석
- 업계의 과제
- 금융 서비스용 AI 에이전트 시장 : 분석 도구
- Porter's Five Forces 분석
- PESTEL 분석
제4장 금융 서비스용 AI 에이전트 시장 : 유형별 추정 및 동향 분석
- 부문 대시보드
- 금융 서비스용 AI 에이전트 시장 : 변동 분석, 유형별(2024년, 2030년)
- 위험 관리 에이전트
- 규정 준수 및 규제 에이전트
- 사기 탐지 에이전트
- 고객 서비스 에이전트
- 신용 평가 에이전트
- 기타
제5장 금융 서비스용 AI 에이전트 시장 : 기관 유형별 추정 및 동향 분석
- 부문 대시보드
- 금융 서비스용 AI 에이전트 시장 : 변동 분석, 기관 유형별(2024년, 2030년)
- 기존 은행
- 인슈어테크 기업
- 핀테크 기업
- 기타
제6장 금융 서비스용 AI 에이전트 시장 : 기술별 추정 및 동향 분석
- 부문 대시보드
- 금융 서비스용 AI 에이전트 시장 : 변동 분석, 기술별(2024년, 2030년)
- 머신러닝(ML) 및 딥러닝
- 대규모 언어 모델(LLM)
- 로보틱 프로세스 자동화(RPA)
- 클라우드 컴퓨팅 및 API
제7장 금융 서비스용 AI 에이전트 시장 : 지역별 추정 및 동향 분석
- 금융 서비스용 AI 에이전트 시장 점유율 : 지역별(2024년, 2030년)
- 북미
- 유럽
- 아시아태평양
- 라틴아메리카
- 중동 및 아프리카
- 사우디아라비아
- 아랍에미리트(UAE)
- 남아프리카
제8장 경쟁 구도
- 기업 분류
- 기업의 시장 포지셔닝
- 참가 기업의 개요
- 재무실적
- 유형별 벤치마크
- 기업 히트맵 분석
- 전략 매핑
- 기업 프로파일/상장 기업
- Accenture
- Amazon Web Services(AWS)
- FICO
- Microsoft
- NVIDIA
- Salesforce
- SAP
- Oracle
- Temenos
- Upstart
- WorkFusion
- Zest AI
KTH
영문 목차
Market Size & Trends:
The global AI agents in financial services market size was estimated at USD 490.2 million in 2024 and is projected to grow at a CAGR of 45.4% from 2025 to 2030. 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. 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.
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
- Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Latin America
- Middle East and Africa (MEA)
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, 2024 & 2030 (USD Million)
- 4.3. Risk Management Agents
- 4.3.1. Risk Management Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2018 - 2030 (USD Million)
- 4.5. Fraud Detection Agents
- 4.5.1. Fraud Detection Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.6. Customer Service Agents
- 4.6.1. Customer Service Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.7. Credit Scoring Agents
- 4.7.1. Credit Scoring Agents AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.8. Others
- 4.8.1. Others AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2024 & 2030 (USD Million)
- 5.3. Traditional Banks
- 5.3.1. Traditional Banks AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.4. InsurTech Firms
- 5.4.1. InsurTech firms AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.5. FinTech Companies
- 5.5.1. FinTech companies AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.6. Others
- 5.6.1. Others AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2024 & 2030 (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, 2018 - 2030 (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, 2018 - 2030 (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, 2018 - 2030 (USD Million)
- 6.6. Cloud Computing & APIs
- 6.6.1. Cloud Computing & APIs AI Agents in Financial Services market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2024 & 2030 (USD Million)
- 7.2. North America
- 7.2.1. North America AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.2. U.S.
- 7.2.2.1. U.S. AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.3. Canada
- 7.2.3.1. Canada AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.4. Mexico
- 7.2.4.1. Mexico AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3. Europe
- 7.3.1. Europe AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.2. UK
- 7.3.2.1. UK AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.3. Germany
- 7.3.3.1. Germany AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.4. France
- 7.3.4.1. France AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4. Asia Pacific
- 7.4.1. Asia Pacific AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.2. China
- 7.4.2.1. China AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.3. Japan
- 7.4.3.1. Japan AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.4. India
- 7.4.4.1. India AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.5. South Korea
- 7.4.5.1. South Korea AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.6. Australia
- 7.4.6.1. Australia AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.5. Latin America
- 7.5.1. Latin America AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.5.2. Brazil
- 7.5.2.1. Brazil AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6. Middle East and Africa
- 7.6.1. Middle East and Africa AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.2. KSA
- 7.6.2.1. KSA AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.3. UAE
- 7.6.3.1. UAE AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.4. South Africa
- 7.6.4.1. South Africa AI Agents in Financial Services market Estimates and Forecasts, 2018 - 2030 (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 (AWS)
- 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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