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세계의 에이전트 AI 부정 탐지 및 방지 시장 보고서(2025년)
Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Global Market Report 2025
상품코드 : 1750898
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

에이전트 AI 부정 탐지 및 방지 시장 규모는 향후 수 년간 비약적인 성장이 예상됩니다. AI의 채택 증가, 컴플라이언스 규제의 엄격화, 디지털 지갑의 보급 확대 등에 기인하고 있습니다.

현금없는 결제 및 거래량 증가는 에이전트 AI 부정 탐지 및 방지 시장의 큰 성장을 가속할 것으로 예측됩니다. 카드, 모바일 앱, 온라인 플랫폼을 통한 디지털 결제를 비롯한 현금없는 거래는 편의성, 속도 및 편리함으로 인해 물리적 현금으로 빠르게 대체됩니다. 그러나 이러한 디지털 거래 증가는 보안 위험 증가를 가져오고 첨단 악성 감지 시스템의 필요성을 증가시키고 있습니다. 에이전트 AI는 활동을 실시간으로 지속적으로 모니터링하고 비정상적이고 의심스러운 행동을 신속하게 파악하여 이러한 거래의 보안을 강화합니다. 이러한 시스템은 진화하는 사기 패턴에 적응하고 금전적 손실의 위험을 크게 줄이고 디지털 결제에 대한 사용자의 신뢰를 높입니다. 예를 들어, 2025년 1월, 유럽 중앙은행은 유로존의 현금 없는 결제가 2024년 721억 건에 이르렀으며 2023년 대비 7.4% 증가했다고 보고했습니다. 이러한 거래 총액은 1.9% 증가하여 총액 113조 5,000억 유로(약 124조 4,200억 달러)에 달했습니다. 이러한 성장은 에이전트 AI를 활용한 견고한 사기 감지 솔루션의 중요한 필요성을 강조합니다.

증가하는 금융 사기의 위협에 대처하기 위해 에이전트 AI 분야의 대기업은 실시간 사기 감지 능력을 향상시키는 첨단 기술에 투자하고 있습니다. 범죄 대책의 무기, 즉 부정한 금융 활동을 탐지 및 방지하기 위한 애널리틱스, 머신러닝, 규제 준수 툴, AI를 활용한 통합 플랫폼의 개발입니다. NICE Actimize는 2025년 4월, 에이전트 AI를 탑재한 X-Sight ActOne 플랫폼을 발표했습니다. 이 차세대 플랫폼은 머신러닝, 자연 언어 처리(NLP), 생성형 AI를 통합해, 조사 워크플로우의 자동화, 분석 정밀도의 향상, 부정 조사 시간의 50% 이상 단축합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 태와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Agentic artificial intelligence (AI) in fraud detection and prevention refers to the deployment of AI systems with autonomous decision-making capabilities to detect, analyze, and respond to fraudulent activities. These agentic AI systems surpass traditional rule-based approaches by continuously monitoring transactions, learning from evolving patterns, adapting to emerging fraud techniques, and taking preventive or corrective actions independently, without constant human oversight. By leveraging technologies such as machine learning, anomaly detection, and natural language processing, agentic AI can assess risks in real-time, flag suspicious behavior, and interact with other systems or users to mitigate threats effectively.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The main component types of agentic AI in fraud detection and prevention include solutions and services. Fraud detection solutions utilize AI-driven analytics and self-learning agentic AI to detect, evaluate, and prevent fraud with increasing accuracy and minimal human intervention. These solutions are employed by various organizations, including small and medium-sized enterprises as well as large enterprises, for applications such as identity theft, money laundering, payment fraud, and more. They are adopted across multiple sectors, including banking, financial services and insurance (BFSI), government and defense, healthcare, information technology and telecom, industrial and manufacturing, retail and e-commerce, among others.

The agentic artificial intelligence (AI) in fraud detection and prevention market research report is one of a series of new reports from The Business Research Company that provides agentic artificial intelligence (AI) in fraud detection and prevention market statistics, including the agentic artificial intelligence (AI) in fraud detection and prevention industry global market size, regional shares, competitors with the agentic artificial intelligence (AI) in fraud detection and prevention market share, detailed agentic artificial intelligence (AI) in fraud detection and prevention market segments, market trends, and opportunities, and any further data you may need to thrive in the agentic artificial intelligence (AI) in fraud detection and prevention industry. This agentic artificial intelligence (AI) in fraud detection and prevention market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The agentic artificial intelligence (AI) in fraud detection and prevention market size has grown exponentially in recent years. It will grow from$5.19 billion in 2024 to $7.76 billion in 2025 at a compound annual growth rate (CAGR) of 49.4%. The growth during the historic period can be attributed to the rise in digital transactions, an increase in cyber fraud incidents, the adoption of machine learning in security measures, regulatory initiatives promoting fraud prevention, and the growing dependence on online banking.

The agentic artificial intelligence (AI) in fraud detection and prevention market size is expected to see exponential growth in the next few years. It will grow to$38.28 billion in 2029 at a compound annual growth rate (CAGR) of 49.0%. The growth anticipated in the forecast period can be attributed to the expansion of real-time payment systems, the rising use of biometric authentication, increased adoption of AI in financial security, stricter compliance regulations, and the growing penetration of digital wallets. Key trends expected during this period include advancements in deep learning algorithms, innovations in AI-driven fraud detection, ongoing research and development in predictive analytics, the emergence of explainable AI models, and technological progress in real-time transaction monitoring.

The growing volume of cashless payments and transactions is expected to drive significant growth in the agentic artificial intelligence (AI) fraud detection and prevention market. Cashless transactions, which include digital payments via cards, mobile apps, and online platforms, are rapidly replacing physical cash due to their convenience, speed, and user-friendly nature. However, this rise in digital transactions also brings heightened security risks, increasing the need for advanced fraud detection systems. Agentic AI enhances the security of these transactions by continuously monitoring activity in real-time, quickly identifying anomalies and suspicious behavior. These systems adapt to evolving fraud patterns, significantly reducing the risk of financial losses and increasing user trust in digital payments. For example, in January 2025, the European Central Bank reported that cashless payments in the euro area reached 72.1 billion transactions in 2024-a 7.4% increase from 2023. The total value of these transactions rose by 1.9%, totaling €113.5 trillion (approximately $124.42 trillion). This growth underscores the critical need for robust fraud detection solutions powered by agentic AI.

To address the growing threat of financial fraud, major companies in the agentic AI space are investing in advanced technologies that improve real-time fraud detection capabilities. One such innovation is the development of comprehensive financial crime-fighting arsenals-integrated platforms that leverage analytics, machine learning, regulatory compliance tools, and AI to detect and prevent illicit financial activities. For instance, in April 2025, NICE Actimize, a US-based software company, launched its enhanced X-Sight ActOne platform, powered by agentic AI. This next-generation platform incorporates machine learning, natural language processing (NLP), and generative AI to automate investigative workflows, boost analytical precision, and reduce fraud investigation time by over 50%. The platform processes billions of daily transactions, offering predictive insights while maintaining strict compliance through robust encryption and access control protocols.

In January 2025, Chainalysis, a US-based blockchain analytics firm, acquired Alterya, an Israel-based AI technology startup, for $150 million. This strategic acquisition is aimed at bolstering Chainalysis's fraud prevention capabilities by combining Alterya's sophisticated AI agent-based fraud detection models and rich scammer data infrastructure with Chainalysis's expertise in blockchain analytics. The integration will enable real-time identification and interception of fraudulent transactions across financial systems, significantly enhancing protection against financial crime.

Major players in the agentic artificial intelligence (ai) in fraud detection and prevention market are Dell Technologies Inc., Oracle Corporation, Salesforce Inc., Nvidia Corporation, Capgemini SE, BAE Systems plc, Global Payments Inc, Experian plc, Moody's Corporation, Equifax Inc., SAS Institute Inc., ACI Worldwide Inc., Fair Isaac Corp, Software AG, NICE Actimize, LeewayHertz, Inscribe AI, SEON Technologies Kft, Feedzai, Sift.

North America was the largest region in the agentic artificial intelligence (AI) in fraud detection and prevention market in 2024. The regions covered in agentic artificial intelligence (AI) in fraud detection and prevention report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the agentic artificial intelligence (AI) in fraud detection and prevention market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The agentic artificial intelligence (AI) in fraud detection and prevention market includes revenues earned by entities through real-time risk scoring, behavioral analysis and user profiling, automated alerts and actions, compliance monitoring, and reporting. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on agentic artificial intelligence (ai) in fraud detection and prevention market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for agentic artificial intelligence (ai) in fraud detection and prevention ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The agentic artificial intelligence (ai) in fraud detection and prevention market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Characteristics

3. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Trends And Strategies

4. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Growth Analysis And Strategic Analysis Framework

6. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Segmentation

7. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Regional And Country Analysis

8. Asia-Pacific Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

9. China Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

10. India Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

11. Japan Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

12. Australia Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

13. Indonesia Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

14. South Korea Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

15. Western Europe Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

16. UK Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

17. Germany Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

18. France Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

19. Italy Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

20. Spain Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

21. Eastern Europe Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

22. Russia Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

23. North America Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

24. USA Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

25. Canada Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

26. South America Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

27. Brazil Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

28. Middle East Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

29. Africa Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

30. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Competitive Landscape And Company Profiles

31. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Other Major And Innovative Companies

32. Global Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

34. Recent Developments In The Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market

35. Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market High Potential Countries, Segments and Strategies

36. Appendix

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