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세계의 부정관리용 AI 시장 보고서(2025년)
AI In Fraud Management Global Market Report 2025
상품코드 : 1680851
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

부정관리용 AI 시장 규모는 향후 수년간 급성장이 전망될 예정입니다. 예측 기간의 성장은 비즈니스 프로세스의 AI 통합, 설명 가능한 AI의 발전, 사기의 글로벌화, 지속적인 규제 강조, 실시간 데이터 스트림의 통합에 기인할 수 있습니다. 예측 기간의 주요 동향에는 급속한 기술 진보, 규제 준수, 공동 부정 검출 네트워크, 행동 바이오메트릭스의 채용, AI와 블록 체인의 융합 등이 있습니다.

디지털 결제와 국경을 넘은 거래의 채용이 증가하고 있는 것이, 부정관리용 AI 시장의 성장을 견인할 전망입니다. AI를 부정관리 시스템에 통합하는 것은 디지털 결제 플랫폼의 보안과 신뢰성을 확보해, 사용자와 기업의 양쪽을 부정 행위로부터 지키기 위해서 매우 중요합니다. 인도국가결제공사(NPCI)의 데이터에 따르면 2022년 통합결제 인터페이스(UPI) 거래의 거래액은 대폭 증가하여 125조 9,500억 루피(1조 5,200억 달러)에 달했고, 전년 대비 현저한 성장세를 보였습니다. UPI 거래는 2022년 인도 GDP의 86% 이상을 차지했고 디지털 결제 솔루션의 보급을 뒷받침하고 있습니다.

부정관리용 AI 시장의 주요 기업은 실시간 부정방어 능력을 강화하기 위해 특히 생성형 AI를 활용한 부정 솔루션의 영역에서 기술적 진보를 위한 노력을 진행하고 있습니다. 생성형 AI 부정 솔루션은 생성형 AI 모델을 활용하여 텍스트, 이미지 또는 음성 등의 사기성 콘텐츠를 생성하여 신원 도용, 금융 사기 및 허위 정보에 대응합니다. 예를 들어, 2023년 10월, 미국의 사기 및 위험 감지 소프트웨어 개발사인 DataVisor는 생성형 AI 부정 솔루션인 AI Co-Pilot을 출시했습니다. 이 혁신적인 툴은 일반 AI를 활용하여 부정 감지를 자동화하고 잘못된 감지를 최소화하고 실시간으로 사용자의 마찰을 줄입니다. AI Co-Pilot을 부정 방지 전략에 통합함으로써 금융 기관과 기업은 원활한 고객 경험을 유지하면서 부정 행위의 감지 능력을 향상시킬 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 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 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

Artificial intelligence (AI) in fraud management refers to the application of advanced technologies, algorithms, and machine learning techniques to identify, prevent, and mitigate fraudulent activities across various sectors. The primary goal of employing AI in fraud management is to enhance the detection and prevention of fraudulent behavior in real-time, automating the fraud detection process, improving efficiency, and reducing response times to fraudulent activities.

The main solutions for AI in fraud management include AI-powered fraud prevention software and services. These solutions leverage machine learning models to identify anomalies in customer behaviors and connections, enabling real-time detection of fraudulent activities. Enterprises of varying sizes, including small and medium enterprises (SMEs) and large enterprises, utilize these solutions. They find applications in areas such as identity theft protection, payment fraud prevention, anti-money laundering, among others, and are employed across industries including banking, financial services, insurance, telecommunications, healthcare, government, education, retail, consumer packaged goods (CPG), media and entertainment, and others.

The AI in fraud management market research report is one of a series of new reports from The Business Research Company that provides AI in fraud management market statistics, including AI in fraud management industry global market size, regional shares, competitors with AI in fraud management market share, detailed AI in fraud management market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in fraud management industry. This AI in fraud management 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 AI in fraud management market size has grown rapidly in recent years. It will grow from $13.05 billion in 2024 to $15.64 billion in 2025 at a compound annual growth rate (CAGR) of 19.8%. The growth in the historic period can be attributed to increasing cyber threats, data breaches, increasing transaction volumes, cost of fraud, awareness and education.

The AI in fraud management market size is expected to see rapid growth in the next few years. It will grow to $31.69 billion in 2029 at a compound annual growth rate (CAGR) of 19.3%. The growth in the forecast period can be attributed to AI integration in business processes, advancements in explainable AI, globalization of fraud, continued regulatory emphasis, integration of real-time data streams. Major trends in the forecast period include rapid technological advancements, regulatory compliance, collaborative fraud detection networks, behavioral biometrics adoption, convergence of AI and blockchain.

The increasing adoption of digital payments and cross-border transactions is poised to drive the growth of the AI in fraud management market in the foreseeable future. The surge in popularity of digital payments and cross-border transactions is fueled by the inherent convenience they offer, enabling users to conduct transactions at their convenience using mobile devices or computers. Integrating AI into fraud management systems is crucial for ensuring the security and reliability of digital payment platforms, safeguarding both users and businesses from fraudulent activities. For example, data from the National Payments Corporation of India (NPCI) reveals a significant increase in the transaction value of Unified Payments Interface (UPI) transactions in 2022, reaching INR 125.95 trillion (USD 1.52 trillion), marking a notable year-on-year growth. Moreover, UPI transactions accounted for over 86% of India's GDP in FY 22, underscoring the pervasive adoption of digital payment solutions. Consequently, the escalating popularity of digital payments and cross-border transactions emerges as a primary driver propelling the growth trajectory of AI in the fraud management market.

Key players in the AI fraud management market are directing their efforts towards technological advancements, particularly in the realm of generative AI-facilitated fraud solutions, to enhance real-time fraud defense capabilities. Generative AI fraud solutions leverage generative AI models to create deceptive content, such as text, images, or voices, to combat identity theft, financial scams, and disinformation. For instance, in October 2023, DataVisor, a US-based fraud and risk detection software developer, introduced the AI Co-Pilot, a generative AI-facilitated fraud solution. This innovative tool leverages Generative AI to automate fraud detection, minimize false positives, and reduce user friction in real-time. By integrating AI Co-Pilot into their fraud prevention strategies, financial institutions and businesses can enhance their ability to detect fraudulent activities while maintaining a seamless client experience. The system offers benefits such as automatic rule tweaking, feature script production and debugging, and rule description generation, bolstering fraud management capabilities and operational efficiency.

In October 2022, SymphonyAI, a leading enterprise AI firm specializing in solutions for financial crime, risk management, and fraud detection, completed the acquisition of NetReveal from BAE Systems, a move strategically aimed at bolstering its foothold in the financial sector. The acquisition, for an undisclosed sum, underscores SymphonyAI's commitment to enhancing its capabilities, particularly in the realm of financial crime detection and prevention. By integrating NetReveal's robust platform with SymphonyAI's advanced Sensa AI technology, the company aims to deliver comprehensive solutions to its clients in the field of risk management and fraud detection. NetReveal, an AI-driven risk management and fraud detection services provider based in the United States, brings a wealth of expertise and functionalities to augment SymphonyAI's offerings.

Major companies operating in the AI in fraud management market are Trusteer, Hewlett Packard Enterprise, BAE Systems plc, Capgemini SE, Cognizant Technology Solutions India Private Limited., SAS Institute Inc., Splunk Inc., Temenos AG, Shift Technology SAS, Pelican Products Inc., Riskified Ltd., NICE Actimize Inc., Jumio Corp., Onfido Ltd., Subex Limited, BehavioSec Inc., Arxan Technologies Inc., Socure Inc., ACTICO GmbH, BioConnect Inc., Matellio Inc., MaxMind Inc., Zest AI Inc., Chargeback.com Inc., Brighterion Inc.

North America was the largest region in the AI in fraud management market in 2024. The regions covered in the ai in fraud management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in fraud management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in fraud management market consist of revenues earned by entities through anomaly detection, machine learning models, predictive maintenance, network analysis, customer profiling, and pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in fraud management market also includes sales of fraud detection systems, biometric authentication solutions, transaction monitoring platforms, behavioral analytics tools, and predictive maintenance systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

AI In Fraud Management 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 ai in fraud management 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 ai in fraud management ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in fraud management 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. AI In Fraud Management Market Characteristics

3. AI In Fraud Management Market Trends And Strategies

4. AI In Fraud Management Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global AI In Fraud Management Growth Analysis And Strategic Analysis Framework

6. AI In Fraud Management Market Segmentation

7. AI In Fraud Management Market Regional And Country Analysis

8. Asia-Pacific AI In Fraud Management Market

9. China AI In Fraud Management Market

10. India AI In Fraud Management Market

11. Japan AI In Fraud Management Market

12. Australia AI In Fraud Management Market

13. Indonesia AI In Fraud Management Market

14. South Korea AI In Fraud Management Market

15. Western Europe AI In Fraud Management Market

16. UK AI In Fraud Management Market

17. Germany AI In Fraud Management Market

18. France AI In Fraud Management Market

19. Italy AI In Fraud Management Market

20. Spain AI In Fraud Management Market

21. Eastern Europe AI In Fraud Management Market

22. Russia AI In Fraud Management Market

23. North America AI In Fraud Management Market

24. USA AI In Fraud Management Market

25. Canada AI In Fraud Management Market

26. South America AI In Fraud Management Market

27. Brazil AI In Fraud Management Market

28. Middle East AI In Fraud Management Market

29. Africa AI In Fraud Management Market

30. AI In Fraud Management Market Competitive Landscape And Company Profiles

31. AI In Fraud Management Market Other Major And Innovative Companies

32. Global AI In Fraud Management Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Fraud Management Market

34. Recent Developments In The AI In Fraud Management Market

35. AI In Fraud Management Market High Potential Countries, Segments and Strategies

36. Appendix

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