시장보고서
상품코드
1709759

세계의 부정행위 감지 및 방지 시장 규모, 점유율, 동향 분석 보고서 : 컴포넌트별, 조직별, 용도별, 업계별, 지역별 전망 및 예측(2024-2031년)

Global Fraud Detection and Prevention Market Size, Share & Trends Analysis Report By Component, By Organization, By Application, By Vertical, By Regional Outlook and Forecast, 2024 - 2031

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 380 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

부정행위 감지 및 방지 시장 규모는 예측 기간 동안 18.2%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 1,038억 9,000만 달러에 달할 것으로 예측됩니다.

KBV Cardinal matrix의 분석에 따르면, Oracle Corporation은 부정행위 감지 및 방지 시장의 선구자이며, 2023년 12월, Oracle Corporation은 NVIDIA와 제휴하여 Oracle Cloud Infrastructure(OCI)와 NVIDIA Triton Inference Server를 활용한 머신러닝을 활용한 실시간 부정사용 감지 기능을 강화했습니다. IBM Corporation, Dell Technologies, Inc., SAP SE 등은 부정사용 감지 및 방지 시장의 주요 혁신기업으로, 부정사용 감지 및 방지 시장의 선두주자입니다.

시장 성장 요인

인공지능(AI), 머신러닝(ML) 및 고급 분석을 활용한 최신 솔루션은 부정행위를 감지하고 예방하는 데 필수적인 요소로 자리 잡고 있습니다. 이러한 기술은 방대한 데이터 세트의 실시간 모니터링과 분석을 용이하게 하여 조직이 미세한 이상 징후와 잠재적 위협을 보다 정확하게 식별할 수 있도록 돕고, AI와 ML 모델은 최신 데이터로부터 지속적으로 학습하여 새로운 부정행위 트렌드에 적응하고, 오탐률을 낮추며, 부정행위 감지율을 향상시킵니다. 따라서 사이버 위협이 고도화되고 비용이 증가함에 따라 조직은 자산을 보호하고, 고객 데이터를 보호하며, 디지털화된 세상에서 컴플라이언스를 준수하기 위해 지능형 부정행위 감지 시스템을 우선적으로 도입해야 합니다.

머신러닝 모델은 지속적으로 진화하고 새로운 사기 패턴에 적응함으로써 AI를 활용한 사기, 합성 ID 사기, 자동화된 봇 공격과 같은 위협에 매우 효과적입니다. 이러한 시스템은 인간 분석가가 놓칠 수 있는 미묘한 이상 징후를 감지할 수 있기 때문에 기업은 부정 행위자보다 한 발 앞서 대응할 수 있습니다. 또한, 신경망과 같은 딥러닝 기법은 기존 감지 시스템에서 놓칠 수 있는 복잡한 부정행위 패턴을 식별하는 능력을 향상시킵니다. 따라서 AI와 ML의 발전은 부정행위 감지 시스템의 속도, 정확성, 효율성을 향상시켜 시장 확대를 뒷받침하고 있습니다.

시장 성장 억제요인

조직은 새로운 FDP 툴을 여러 데이터 소스와 통합할 때 데이터의 일관성과 정확성을 유지해야 하는 문제에 직면할 수 있습니다. 치밀하게 계획되고 실행된 통합 전략이 없다면, 데이터 사일로, 정보 처리 지연, 분석 불완전성 등의 문제가 발생하여 부정행위 감지의 효율성을 떨어뜨릴 수 있습니다. 또한, 통합 프로세스에는 IT팀과 외부 컨설턴트의 많은 참여가 필요한 경우가 많아 도입 비용과 복잡성이 더욱 증가합니다. 이러한 시스템 통합의 복잡성은 부정행위 감지 및 방지 시장의 성장을 크게 저해하는 요인으로 작용하고 있습니다.

부품 전망

시장은 구성 요소별로 솔루션과 서비스로 나뉩니다. 서비스 부문은 2023년 시장에서 39%의 매출 점유율을 차지할 것으로 예측됩니다. 컨설팅, 시스템 통합, 교육 등의 전문 서비스는 고급 솔루션으로 전환하는 조직이 특정 요구 사항에 맞게 이러한 기술을 맞춤화하기 위해 자주 필요합니다. 또한, 지속적인 모니터링, 실시간 위협 인텔리전스, 사고 대응을 제공하는 매니지드 서비스도 점차 확산되고 있으며, 진화하는 사기 수법에 대응할 수 있도록 돕고 있습니다. 또한, 많은 기업들이 부정행위 방지 및 사이버 보안에 대한 내부 전문 지식이 부족하여 부정행위 감지 전략의 성능과 효과를 최적화하기 위해 외부 서비스 제공업체에 의존하고 있습니다.

조직 전망

조직별로 보면, 시장은 대기업과 중소기업으로 분류됩니다. 대기업 부문은 2023년 시장에서 69%의 매출 점유율을 차지할 것으로 예측됩니다. 이러한 조직은 방대한 양의 기밀 데이터와 여러 채널에 걸친 금융 거래를 처리하기 때문에 사이버 범죄자들에게 매력적인 표적이 되고 있습니다. 대기업들은 이러한 위험을 줄이기 위해 인공지능(AI), 머신러닝(ML), 실시간 분석을 활용한 고도화된 사기 감지 및 방지 솔루션에 많은 투자를 하고 있습니다. 또한, 엄격한 규제 준수 요건과 브랜드 이미지 보호의 필요성으로 인해 대기업은 종합적인 엔드투엔드 사기 방지 프레임워크와 전담 보안 팀을 도입할 수밖에 없습니다.

솔루션 유형 전망

솔루션 유형별로 시장은 부정 분석, 인증, 거버넌스, 리스크 및 컴플라이언스 부문으로 분류됩니다. 부정 분석 부문은 2023년 시장 매출 점유율의 59%를 차지할 것으로 예측됩니다. 이 부문은 고급 부정행위를 감지하고 방지하기 위한 실시간 데이터 기반 통찰력에 대한 수요가 증가함에 따라 주도하고 있습니다. 고급 분석 솔루션을 통해 기업은 복잡한 사기 패턴을 식별하고, 사기 행위를 예측하고, 오탐을 줄일 수 있습니다. 은행/금융서비스/보험, 전자상거래와 같은 고위험 산업에서 과거 데이터를 분석하고 숨겨진 위험을 파악할 수 있는 부정행위 분석은 적극적인 부정행위를 관리하는 데 필수적인 수단으로 자리 잡았습니다.

서비스 유형 전망

서비스 유형에 따라 시장은 전문 서비스 및 관리 서비스로 구분됩니다. 전문 서비스 부문은 2023년 시장 매출의 54%를 차지할 것으로 예측됩니다. 이 부문의 성장을 주도하는 것은 사기 감지 및 방지 솔루션의 복잡성이 증가하고 있기 때문입니다. 이러한 솔루션을 도입하고 최적화하기 위해서는 전문 지식이 필수적이며, 조직, 특히 대기업은 FDP 솔루션을 요구사항에 맞게 맞춤화하고 기존 IT 인프라에 원활하게 통합하기 위해 자문, 시스템 통합, 도입, 직원 교육 등의 전문 서비스에 의존하고 있습니다. 전문가가 주도하는 위험 평가와 맞춤형 사기 방지 전략에 대한 수요는 시장에서 전문 서비스의 성장을 더욱 촉진하고 있습니다.

용도 전망

용도, 결제 사기, 개인정보 도용, 자금세탁 등을 기준으로 개인정보 도용 부문은 2023년 시장 매출 점유율의 25%를 차지할 것으로 예측됩니다. 이 부문은 사회 보장 번호, 금융 정보, 로그인 자격 증명과 같은 개인 정보의 기밀성을 침해하는 데이터 침해 및 사이버 공격 증가에 의해 주도되고 있습니다. 조직이 고객과의 상호 작용을 디지털화하고 원격 온보딩 프로세스를 도입함에 따라 개인정보 도용의 위험이 증가하고 있습니다. 개인정보 도용은 계정 탈취, 부정 거래, 평판 훼손 등 심각한 결과를 초래할 수 있습니다.

산업 전망

산업별로 시장은 BFSI, 소매 및 전자상거래, IT 및 통신, 정부 및 국방, 헬스케어, 산업 및 제조, 기타로 분류됩니다. 소매 및 전자상거래 부문은 2023년 시장에서 17%의 매출 점유율을 차지할 것으로 예측됩니다. 이 부문은 온라인 쇼핑과 디지털 결제 플랫폼의 급격한 성장으로 인해 결제 사기, 계정 탈취, 반품 부정 사용과 같은 부정 행위의 위험이 크게 증가하고 있습니다. 기업들은 고객 데이터를 보호하고 원활한 디지털 경험을 제공하기 위해 AI와 머신러닝을 활용한 첨단 사기 감지 솔루션에 투자하고 있습니다. 부정 결제, 가짜 계정, 프로모션 부정 사용 증가로 인해 소매업체들은 고객의 행동을 실시간으로 분석하고 의심스러운 패턴을 식별할 수 있는 부정 방지 시스템을 구현해야 합니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양, LAMEA로 시장을 분석했습니다. 북미 부문은 2023년 시장에서 37%의 매출 점유율을 기록할 것으로 예측됩니다. 미국 및 캐나다와 같은 국가에서는 그램-리치-브라이리법(GLBA), 지불 카드 산업 데이터 보안 표준(PCI DSS), 자금세탁방지(AML) 컴플라이언스 요건과 같은 엄격한 규제 프레임워크가 존재하며, 기업들은 강력한 사기 방지 기술을 도입해야 합니다. 또한, 이 지역에서는 인공지능(AI), 머신러닝(ML), 부정사용 감지를 위한 빅데이터 분석과 같은 첨단 기술이 조기에 도입되었고, 주요 FDP 솔루션 제공업체의 존재도 북미 시장 성장에 크게 기여하고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
  • 시장 점유율 분석, 2023년
  • 주요 성공 전략
    • 주요 전략
  • Porter의 Five Forces 분석

제5장 세계의 부정행위 감지 및 방지 시장 : 컴포넌트별

  • 세계의 솔루션 시장 : 지역별
  • 세계의 부정행위 감지 및 방지 시장 : 솔루션 유형별
  • 세계의 서비스 시장 : 지역별
  • 세계의 부정행위 감지 및 방지 시장 : 서비스 유형별

제6장 세계의 부정행위 감지 및 방지 시장 : 조직별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제7장 세계의 부정행위 감지 및 방지 시장 : 용도별

  • 세계의 결제 사기 시장 : 지역별
  • 세계의 개인정보 도난 시장 : 지역별
  • 세계의 자금세탁 시장 : 지역별
  • 세계의 기타 용도 시장 : 지역별

제8장 세계의 부정행위 감지 및 방지 시장 : 업계별

  • 세계의 은행, 금융서비스 및 보험(BFSI) 시장 : 지역별
  • 세계의 소매 및 E-Commerce 시장 : 지역별
  • 세계의 IT 및 통신 시장 : 지역별
  • 세계의 정부 및 방위 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 산업 및 제조 시장 : 지역별
  • 세계의 기타 업계 시장 : 지역별

제9장 세계의 부정행위 감지 및 방지 시장 : 지역별

  • 북미
    • 북미 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카/중동 및 아프리카
    • 라틴아메리카/중동 및 아프리카 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카/중동 및 아프리카

제10장 기업 개요

  • Dell Technologies, Inc
  • BAE Systems PLC
  • IBM Corporation
  • Oracle Corporation
  • NICE Ltd
  • SAP SE
  • SAS Institute, Inc
  • Fair Isaac Corporation(FICO)
  • NCR Corporation
  • ACI Worldwide, Inc

제11장 부정행위 감지 및 방지 시장을 위한 성공 필수 조건

LSH 25.05.13

The Global Fraud Detection and Prevention Market size is expected to reach $103.89 billion by 2031, rising at a market growth of 18.2% CAGR during the forecast period.

With an ever-increasing volume of online and mobile transactions, financial institutions face mounting pressure to protect sensitive customer data and secure complex financial processes. Regulatory mandates such as Anti-Money Laundering (AML), Know Your Customer (KYC), and Payment Card Industry Data Security Standard (PCI DSS) further compel banks and insurers to adopt robust fraud detection and prevention solutions. Thus, the BFSI segment garnered 26% revenue share in the market in 2023. The growing demand for real-time fraud monitoring and risk management tools that ensure compliance and safeguard customer trust continues to drive the adoption of FDP solutions in this sector.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In February, 2025, ACI Worldwide partners with Banfico to enhance fraud prevention in UK and Europe through Verification of Payee (VOP) and Confirmation of Payee (CoP) services. This collaboration strengthens security against Authorized Push Payment (APP) fraud, aligning with new regulatory compliance mandates. Additionally, In December, 2024, SAS Institute Inc. partnered with Neterium to launch Real-Time Watchlist Screening, an AI-powered AML and CFT compliance solution. The cloud-based tool reduces false positives, enhances detection accuracy, and ensures regulatory compliance, helping banks like Orange Bank improve fraud prevention and risk management.

Based on the Analysis presented in the KBV Cardinal matrix; Oracle Corporation is the forerunners in the Fraud Detection and Prevention Market. In December, 2023, Oracle Corporation partnered with NVIDIA to enhance real-time fraud detection using machine learning on Oracle Cloud Infrastructure (OCI) with NVIDIA Triton Inference Server. This collaboration improves credit card pre-authorization accuracy while maintaining speed, strengthening security in fraud detection and prevention. Companies such as IBM Corporation, Dell Technologies, Inc. and SAP SE are some of the key innovators in Fraud Detection and Prevention Market.

Market Growth Factors

Modern solutions powered by Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics are now essential in detecting and preventing fraud. These technologies facilitate the real-time surveillance and analysis of extensive datasets, thereby assisting organizations in the more precise identification of subtle anomalies and potential threats. AI and ML models can adjust to new fraud trends by continuously learning from fresh data, which lowers false positives and raises fraud detection rates. Hence, as cyber threats become more advanced and costly, organizations must prioritize intelligent fraud detection systems to protect their assets, safeguard customer data, and ensure compliance in an increasingly digital world.

Machine learning models continuously evolve and adapt to new fraud patterns, making them highly effective against threats such as AI-powered fraud schemes, synthetic identity fraud, and automated bot attacks. These systems can detect subtle anomalies that human analysts might overlook, ensuring businesses stay ahead of fraudsters. Furthermore, deep learning methods like neural networks improve the capacity to identify intricate fraud patterns that conventional detection systems could miss. Therefore, advancements in AI and ML are enhancing the speed, accuracy, and efficiency of fraud detection systems, supporting the expansion of the market.

Market Restraining Factors

Organizations may face challenges maintaining data consistency and accuracy when integrating new FDP tools with multiple data sources. Without a well-planned and executed integration strategy, there can be issues such as data silos, delayed information processing, and incomplete analysis, which undermine the effectiveness of fraud detection efforts. Additionally, the integration process often requires significant involvement from IT teams and external consultants, further increasing the overall costs and complexity of deployment. Thus, the fraud detection and prevention market's expansion are substantially impeded by the intricate nature of integrating these systems with existing technologies.

Component Outlook

Based on component, the market is bifurcated into solution and services. The services segment procured 39% revenue share in the market in 2023. Professional services, including consulting, system integration, and training, are frequently necessary for organizations that are transitioning to more advanced solutions in order to customize these technologies to specific requirements. Managed services are also gaining traction, offering continuous monitoring, real-time threat intelligence, and incident response to help businesses stay ahead of evolving fraud tactics. Furthermore, many companies lack in-house expertise in fraud prevention and cybersecurity, making them reliant on external service providers to optimize the performance and effectiveness of their fraud detection strategies.

Organization Outlook

On the basis of organization, the market is classified into large enterprises and SMEs. The large enterprises segment acquired 69% revenue share in the market in 2023. These organizations handle vast volumes of sensitive data and financial transactions across multiple channels, making them attractive targets for cybercriminals. Large enterprises invest heavily in advanced fraud detection and prevention solutions that leverage artificial intelligence (AI), machine learning (ML), and real-time analytics to mitigate these risks. Additionally, strict regulatory compliance requirements and the need to protect their brand reputation compel large organizations to adopt comprehensive, end-to-end fraud prevention frameworks and dedicated security teams.

Solution Type Outlook

By solution type, the market is segmented into fraud analytics, authentication, and governance, risk, & compliance. The fraud analytics segment witnessed 59% revenue share in the market in 2023. The fraud analytics segment is driven by the increasing need for real-time, data-driven insights to detect and prevent sophisticated fraud schemes. Advanced analytics solutions enable businesses to identify complex fraud patterns, predict fraudulent activities, and reduce false positives. In high-risk industries such as banking, financial services, insurance, and e-commerce, fraud analytics has become an indispensable instrument for proactive fraud management due to its capacity to analyze historical data and reveal concealed risks.

Services Type Outlook

Based on services type, the market is divided into professional services and managed services. The professional services segment procured 54% revenue share in the market in 2023. The segment is primarily driven by the increasing complexity of fraud detection and prevention solutions, which require specialized expertise for successful implementation and optimization. To make sure the FDP solutions are customized to their specific requirements and smoothly incorporated into their current IT infrastructure, organizations-especially large enterprises-rely on professional services for advising, system integration, deployment, and staff training. The demand for expert-led risk assessment and customized fraud prevention strategies further propels the growth of professional services in the market.

Application Outlook

On the basis of application, payment fraud, identity theft, money laundering, and others. The identity theft segment witnessed 25% revenue share in the market in 2023. The segment is driven by the rising incidents of data breaches and cyberattacks that compromise sensitive personal information, including social security numbers, financial details, and login credentials. As organizations digitize their customer interactions and adopt remote onboarding processes, the risk of identity fraud has escalated. Identity theft has serious consequences, including account takeovers, fraudulent transactions, and reputational damage.

Vertical Outlook

By vertical, the market is segmented into BFSI, retail & e-commerce, IT & telecom, government & defense, healthcare, industrial & manufacturing, and others. The retail & e-commerce segment procured 17% revenue share in the market in 2023. The segment is driven by the exponential growth of online shopping and digital payment platforms, significantly increasing the risk of fraudulent activities such as payment fraud, account takeovers, and return abuse. Businesses are investing in sophisticated fraud detection solutions that are propelled by AI and machine learning in order to safeguard customer data and provide seamless digital experiences. The rising number of fraudulent chargebacks, fake accounts, and promotion abuse incidents pushes retailers to implement fraud prevention systems to analyze customer behavior in real-time and identify suspicious patterns.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 37% revenue share in the market in 2023. Countries like the United States and Canada have stringent regulatory frameworks such as the Gramm-Leach-Bliley Act (GLBA), Payment Card Industry Data Security Standard (PCI DSS), and Anti-Money Laundering (AML) compliance requirements, compelling businesses to adopt robust fraud prevention technologies. Additionally, the region's early adoption of advanced technologies like artificial intelligence (AI), machine learning (ML), and big data analytics for fraud detection, along with the presence of major FDP solution providers, contributes significantly to the market's growth in North America.

Recent Strategies Deployed in the Market

  • Sep-2024: NICE Actimize division of NICE Ltd. launched an AI-powered Fraud Investigations solution to enhance fraud management, automate workflows, and improve regulatory compliance. Using Generative AI, it streamlines claims processing, reduces costs, and strengthens fraud prevention by integrating detection insights into investigation processes for financial institutions.
  • Apr-2024: Fair Isaac Corporation and SAS Institute Inc. partnered to launch a cloud-based real-time payment fraud prevention solution using AI and machine learning. The solution helps banks and payment providers detect and block fraud, enhancing security for instant digital payments like FedNow and RTP.
  • Apr-2024: Oracle Corporation launched AI-powered Compliance Agent to help banks mitigate AML risks by improving transaction monitoring, risk assessment, and compliance efficiency. The cloud-based solution enables faster, cost-effective risk modelling to detect suspicious activities, ensuring regulatory compliance and fraud prevention.
  • Mar-2024: Dell Technologies came into partnership with CrowdStrike to integrate Dell's Managed Detection and Response (MDR) service with CrowdStrike Falcon XDR, enhancing cybersecurity with proactive threat detection, response, and recovery solutions across multi-cloud and multi-vendor environments.
  • Feb-2024: SAS Institute Inc. partnered with Carahsoft to expand AI, analytics, and data management solutions for U.S. government agencies. The deal enhances fraud detection, security intelligence, and decision-making using SAS Viya, improving efficiency, scalability, and accessibility through Carahsoft's reseller network and contract vehicles.

List of Key Companies Profiled

  • Dell Technologies, Inc.
  • BAE Systems PLC
  • IBM Corporation
  • Oracle Corporation
  • NICE Ltd.
  • SAP SE
  • SAS Institute Inc.
  • Fair Isaac Corporation (FICO)
  • NCR Corporation
  • ACI Worldwide, Inc.

Global Fraud Detection and Prevention Market Report Segmentation

By Component

  • Solution
    • Fraud Analytics
    • Authentication
    • Governance, Risk, and Compliance
  • Services
    • Professional Services
    • Managed Services

By Organization

  • Large Enterprises
  • SMEs

By Application

  • Payment Fraud
  • Identity Theft
  • Money Laundering
  • Other Application

By Vertical

  • BFSI
  • Retail & E-commerce
  • IT & Telecom
  • Government & Defense
  • Healthcare
  • Industrial & Manufacturing
  • Other Vertical

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Fraud Detection and Prevention Market, by Component
    • 1.4.2 Global Fraud Detection and Prevention Market, by Organization
    • 1.4.3 Global Fraud Detection and Prevention Market, by Application
    • 1.4.4 Global Fraud Detection and Prevention Market, by Vertical
    • 1.4.5 Global Fraud Detection and Prevention Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
  • 4.3 Market Share Analysis, 2023
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
  • 4.5 Porter Five Forces Analysis

Chapter 5. Global Fraud Detection and Prevention Market by Component

  • 5.1 Global Solution Market by Region
  • 5.2 Global Fraud Detection and Prevention Market by Solution Type
    • 5.2.1 Global Fraud Analytics Market by Region
    • 5.2.2 Global Authentication Market by Region
    • 5.2.3 Global Governance, Risk, and Compliance Market by Region
  • 5.3 Global Services Market by Region
  • 5.4 Global Fraud Detection and Prevention Market by Services Type
    • 5.4.1 Global Professional Services Market by Region
    • 5.4.2 Global Managed Services Market by Region

Chapter 6. Global Fraud Detection and Prevention Market by Organization

  • 6.1 Global Large Enterprises Market by Region
  • 6.2 Global SMEs Market by Region

Chapter 7. Global Fraud Detection and Prevention Market by Application

  • 7.1 Global Payment Fraud Market by Region
  • 7.2 Global Identity Theft Market by Region
  • 7.3 Global Money Laundering Market by Region
  • 7.4 Global Other Application Market by Region

Chapter 8. Global Fraud Detection and Prevention Market by Vertical

  • 8.1 Global BFSI Market by Region
  • 8.2 Global Retail & E-commerce Market by Region
  • 8.3 Global IT & Telecom Market by Region
  • 8.4 Global Government & Defense Market by Region
  • 8.5 Global Healthcare Market by Region
  • 8.6 Global Industrial & Manufacturing Market by Region
  • 8.7 Global Other Vertical Market by Region

Chapter 9. Global Fraud Detection and Prevention Market by Region

  • 9.1 North America Fraud Detection and Prevention Market
    • 9.1.1 North America Fraud Detection and Prevention Market by Component
      • 9.1.1.1 North America Solution Market by Region
      • 9.1.1.2 North America Fraud Detection and Prevention Market by Solution Type
        • 9.1.1.2.1 North America Fraud Analytics Market by Country
        • 9.1.1.2.2 North America Authentication Market by Country
        • 9.1.1.2.3 North America Governance, Risk, and Compliance Market by Country
      • 9.1.1.3 North America Services Market by Region
      • 9.1.1.4 North America Fraud Detection and Prevention Market by Services Type
        • 9.1.1.4.1 North America Professional Services Market by Country
        • 9.1.1.4.2 North America Managed Services Market by Country
    • 9.1.2 North America Fraud Detection and Prevention Market by Organization
      • 9.1.2.1 North America Large Enterprises Market by Region
      • 9.1.2.2 North America SMEs Market by Region
    • 9.1.3 North America Fraud Detection and Prevention Market by Application
      • 9.1.3.1 North America Payment Fraud Market by Country
      • 9.1.3.2 North America Identity Theft Market by Country
      • 9.1.3.3 North America Money Laundering Market by Country
      • 9.1.3.4 North America Other Application Market by Country
    • 9.1.4 North America Fraud Detection and Prevention Market by Vertical
      • 9.1.4.1 North America BFSI Market by Country
      • 9.1.4.2 North America Retail & E-commerce Market by Country
      • 9.1.4.3 North America IT & Telecom Market by Country
      • 9.1.4.4 North America Government & Defense Market by Country
      • 9.1.4.5 North America Healthcare Market by Country
      • 9.1.4.6 North America Industrial & Manufacturing Market by Country
      • 9.1.4.7 North America Other Vertical Market by Country
    • 9.1.5 North America Fraud Detection and Prevention Market by Country
      • 9.1.5.1 US Fraud Detection and Prevention Market
        • 9.1.5.1.1 US Fraud Detection and Prevention Market by Component
        • 9.1.5.1.2 US Fraud Detection and Prevention Market by Services Type
        • 9.1.5.1.3 US Fraud Detection and Prevention Market by Organization
        • 9.1.5.1.4 US Fraud Detection and Prevention Market by Application
        • 9.1.5.1.5 US Fraud Detection and Prevention Market by Vertical
      • 9.1.5.2 Canada Fraud Detection and Prevention Market
        • 9.1.5.2.1 Canada Fraud Detection and Prevention Market by Component
        • 9.1.5.2.2 Canada Fraud Detection and Prevention Market by Organization
        • 9.1.5.2.3 Canada Fraud Detection and Prevention Market by Application
        • 9.1.5.2.4 Canada Fraud Detection and Prevention Market by Vertical
      • 9.1.5.3 Mexico Fraud Detection and Prevention Market
        • 9.1.5.3.1 Mexico Fraud Detection and Prevention Market by Component
        • 9.1.5.3.2 Mexico Fraud Detection and Prevention Market by Organization
        • 9.1.5.3.3 Mexico Fraud Detection and Prevention Market by Application
        • 9.1.5.3.4 Mexico Fraud Detection and Prevention Market by Vertical
      • 9.1.5.4 Rest of North America Fraud Detection and Prevention Market
        • 9.1.5.4.1 Rest of North America Fraud Detection and Prevention Market by Component
        • 9.1.5.4.2 Rest of North America Fraud Detection and Prevention Market by Organization
        • 9.1.5.4.3 Rest of North America Fraud Detection and Prevention Market by Application
        • 9.1.5.4.4 Rest of North America Fraud Detection and Prevention Market by Vertical
  • 9.2 Europe Fraud Detection and Prevention Market
    • 9.2.1 Europe Fraud Detection and Prevention Market by Component
      • 9.2.1.1 Europe Solution Market by Country
      • 9.2.1.2 Europe Fraud Detection and Prevention Market by Solution Type
        • 9.2.1.2.1 Europe Fraud Analytics Market by Country
        • 9.2.1.2.2 Europe Authentication Market by Country
        • 9.2.1.2.3 Europe Governance, Risk, and Compliance Market by Country
      • 9.2.1.3 Europe Services Market by Country
      • 9.2.1.4 Europe Fraud Detection and Prevention Market by Services Type
        • 9.2.1.4.1 Europe Professional Services Market by Country
        • 9.2.1.4.2 Europe Managed Services Market by Country
    • 9.2.2 Europe Fraud Detection and Prevention Market by Organization
      • 9.2.2.1 Europe Large Enterprises Market by Country
      • 9.2.2.2 Europe SMEs Market by Country
    • 9.2.3 Europe Fraud Detection and Prevention Market by Application
      • 9.2.3.1 Europe Payment Fraud Market by Country
      • 9.2.3.2 Europe Identity Theft Market by Country
      • 9.2.3.3 Europe Money Laundering Market by Country
      • 9.2.3.4 Europe Other Application Market by Country
    • 9.2.4 Europe Fraud Detection and Prevention Market by Vertical
      • 9.2.4.1 Europe BFSI Market by Country
      • 9.2.4.2 Europe Retail & E-commerce Market by Country
      • 9.2.4.3 Europe IT & Telecom Market by Country
      • 9.2.4.4 Europe Government & Defense Market by Country
      • 9.2.4.5 Europe Healthcare Market by Country
      • 9.2.4.6 Europe Industrial & Manufacturing Market by Country
      • 9.2.4.7 Europe Other Vertical Market by Country
    • 9.2.5 Europe Fraud Detection and Prevention Market by Country
      • 9.2.5.1 Germany Fraud Detection and Prevention Market
        • 9.2.5.1.1 Germany Fraud Detection and Prevention Market by Component
        • 9.2.5.1.2 Germany Fraud Detection and Prevention Market by Organization
        • 9.2.5.1.3 Germany Fraud Detection and Prevention Market by Application
        • 9.2.5.1.4 Germany Fraud Detection and Prevention Market by Vertical
      • 9.2.5.2 UK Fraud Detection and Prevention Market
        • 9.2.5.2.1 UK Fraud Detection and Prevention Market by Component
        • 9.2.5.2.2 UK Fraud Detection and Prevention Market by Organization
        • 9.2.5.2.3 UK Fraud Detection and Prevention Market by Application
        • 9.2.5.2.4 UK Fraud Detection and Prevention Market by Vertical
      • 9.2.5.3 France Fraud Detection and Prevention Market
        • 9.2.5.3.1 France Fraud Detection and Prevention Market by Component
        • 9.2.5.3.2 France Fraud Detection and Prevention Market by Organization
        • 9.2.5.3.3 France Fraud Detection and Prevention Market by Application
        • 9.2.5.3.4 France Fraud Detection and Prevention Market by Vertical
      • 9.2.5.4 Russia Fraud Detection and Prevention Market
        • 9.2.5.4.1 Russia Fraud Detection and Prevention Market by Component
        • 9.2.5.4.2 Russia Fraud Detection and Prevention Market by Organization
        • 9.2.5.4.3 Russia Fraud Detection and Prevention Market by Application
        • 9.2.5.4.4 Russia Fraud Detection and Prevention Market by Vertical
      • 9.2.5.5 Spain Fraud Detection and Prevention Market
        • 9.2.5.5.1 Spain Fraud Detection and Prevention Market by Component
        • 9.2.5.5.2 Spain Fraud Detection and Prevention Market by Organization
        • 9.2.5.5.3 Spain Fraud Detection and Prevention Market by Application
        • 9.2.5.5.4 Spain Fraud Detection and Prevention Market by Vertical
      • 9.2.5.6 Italy Fraud Detection and Prevention Market
        • 9.2.5.6.1 Italy Fraud Detection and Prevention Market by Component
        • 9.2.5.6.2 Italy Fraud Detection and Prevention Market by Organization
        • 9.2.5.6.3 Italy Fraud Detection and Prevention Market by Application
        • 9.2.5.6.4 Italy Fraud Detection and Prevention Market by Vertical
      • 9.2.5.7 Rest of Europe Fraud Detection and Prevention Market
        • 9.2.5.7.1 Rest of Europe Fraud Detection and Prevention Market by Component
        • 9.2.5.7.2 Rest of Europe Fraud Detection and Prevention Market by Organization
        • 9.2.5.7.3 Rest of Europe Fraud Detection and Prevention Market by Application
        • 9.2.5.7.4 Rest of Europe Fraud Detection and Prevention Market by Vertical
  • 9.3 Asia Pacific Fraud Detection and Prevention Market
    • 9.3.1 Asia Pacific Fraud Detection and Prevention Market by Component
      • 9.3.1.1 Asia Pacific Solution Market by Country
      • 9.3.1.2 Asia Pacific Fraud Detection and Prevention Market by Solution Type
        • 9.3.1.2.1 Asia Pacific Fraud Analytics Market by Country
        • 9.3.1.2.2 Asia Pacific Authentication Market by Country
        • 9.3.1.2.3 Asia Pacific Governance, Risk, and Compliance Market by Country
      • 9.3.1.3 Asia Pacific Services Market by Country
      • 9.3.1.4 Asia Pacific Fraud Detection and Prevention Market by Services Type
        • 9.3.1.4.1 Asia Pacific Professional Services Market by Country
        • 9.3.1.4.2 Asia Pacific Managed Services Market by Country
    • 9.3.2 Asia Pacific Fraud Detection and Prevention Market by Organization
      • 9.3.2.1 Asia Pacific Large Enterprises Market by Country
      • 9.3.2.2 Asia Pacific SMEs Market by Country
    • 9.3.3 Asia Pacific Fraud Detection and Prevention Market by Application
      • 9.3.3.1 Asia Pacific Payment Fraud Market by Country
      • 9.3.3.2 Asia Pacific Identity Theft Market by Country
      • 9.3.3.3 Asia Pacific Money Laundering Market by Country
      • 9.3.3.4 Asia Pacific Other Application Market by Country
    • 9.3.4 Asia Pacific Fraud Detection and Prevention Market by Vertical
      • 9.3.4.1 Asia Pacific BFSI Market by Country
      • 9.3.4.2 Asia Pacific Retail & E-commerce Market by Country
      • 9.3.4.3 Asia Pacific IT & Telecom Market by Country
      • 9.3.4.4 Asia Pacific Government & Defense Market by Country
      • 9.3.4.5 Asia Pacific Healthcare Market by Country
      • 9.3.4.6 Asia Pacific Industrial & Manufacturing Market by Country
      • 9.3.4.7 Asia Pacific Other Vertical Market by Country
    • 9.3.5 Asia Pacific Fraud Detection and Prevention Market by Country
      • 9.3.5.1 China Fraud Detection and Prevention Market
        • 9.3.5.1.1 China Fraud Detection and Prevention Market by Component
        • 9.3.5.1.2 China Fraud Detection and Prevention Market by Organization
        • 9.3.5.1.3 China Fraud Detection and Prevention Market by Application
        • 9.3.5.1.4 China Fraud Detection and Prevention Market by Vertical
      • 9.3.5.2 Japan Fraud Detection and Prevention Market
        • 9.3.5.2.1 Japan Fraud Detection and Prevention Market by Component
        • 9.3.5.2.2 Japan Fraud Detection and Prevention Market by Organization
        • 9.3.5.2.3 Japan Fraud Detection and Prevention Market by Application
        • 9.3.5.2.4 Japan Fraud Detection and Prevention Market by Vertical
      • 9.3.5.3 India Fraud Detection and Prevention Market
        • 9.3.5.3.1 India Fraud Detection and Prevention Market by Component
        • 9.3.5.3.2 India Fraud Detection and Prevention Market by Organization
        • 9.3.5.3.3 India Fraud Detection and Prevention Market by Application
        • 9.3.5.3.4 India Fraud Detection and Prevention Market by Vertical
      • 9.3.5.4 South Korea Fraud Detection and Prevention Market
        • 9.3.5.4.1 South Korea Fraud Detection and Prevention Market by Component
        • 9.3.5.4.2 South Korea Fraud Detection and Prevention Market by Organization
        • 9.3.5.4.3 South Korea Fraud Detection and Prevention Market by Application
        • 9.3.5.4.4 South Korea Fraud Detection and Prevention Market by Vertical
      • 9.3.5.5 Singapore Fraud Detection and Prevention Market
        • 9.3.5.5.1 Singapore Fraud Detection and Prevention Market by Component
        • 9.3.5.5.2 Singapore Fraud Detection and Prevention Market by Organization
        • 9.3.5.5.3 Singapore Fraud Detection and Prevention Market by Application
        • 9.3.5.5.4 Singapore Fraud Detection and Prevention Market by Vertical
      • 9.3.5.6 Malaysia Fraud Detection and Prevention Market
        • 9.3.5.6.1 Malaysia Fraud Detection and Prevention Market by Component
        • 9.3.5.6.2 Malaysia Fraud Detection and Prevention Market by Organization
        • 9.3.5.6.3 Malaysia Fraud Detection and Prevention Market by Application
        • 9.3.5.6.4 Malaysia Fraud Detection and Prevention Market by Vertical
      • 9.3.5.7 Rest of Asia Pacific Fraud Detection and Prevention Market
        • 9.3.5.7.1 Rest of Asia Pacific Fraud Detection and Prevention Market by Component
        • 9.3.5.7.2 Rest of Asia Pacific Fraud Detection and Prevention Market by Organization
        • 9.3.5.7.3 Rest of Asia Pacific Fraud Detection and Prevention Market by Application
        • 9.3.5.7.4 Rest of Asia Pacific Fraud Detection and Prevention Market by Vertical
  • 9.4 LAMEA Fraud Detection and Prevention Market
    • 9.4.1 LAMEA Fraud Detection and Prevention Market by Component
      • 9.4.1.1 LAMEA Solution Market by Country
      • 9.4.1.2 LAMEA Fraud Detection and Prevention Market by Solution Type
        • 9.4.1.2.1 LAMEA Fraud Analytics Market by Country
        • 9.4.1.2.2 LAMEA Authentication Market by Country
        • 9.4.1.2.3 LAMEA Governance, Risk, and Compliance Market by Country
      • 9.4.1.3 LAMEA Services Market by Country
      • 9.4.1.4 LAMEA Fraud Detection and Prevention Market by Services Type
        • 9.4.1.4.1 LAMEA Professional Services Market by Country
        • 9.4.1.4.2 LAMEA Managed Services Market by Country
    • 9.4.2 LAMEA Fraud Detection and Prevention Market by Organization
      • 9.4.2.1 LAMEA Large Enterprises Market by Country
      • 9.4.2.2 LAMEA SMEs Market by Country
    • 9.4.3 LAMEA Fraud Detection and Prevention Market by Application
      • 9.4.3.1 LAMEA Payment Fraud Market by Country
      • 9.4.3.2 LAMEA Identity Theft Market by Country
      • 9.4.3.3 LAMEA Money Laundering Market by Country
      • 9.4.3.4 LAMEA Other Application Market by Country
    • 9.4.4 LAMEA Fraud Detection and Prevention Market by Vertical
      • 9.4.4.1 LAMEA BFSI Market by Country
      • 9.4.4.2 LAMEA Retail & E-commerce Market by Country
      • 9.4.4.3 LAMEA IT & Telecom Market by Country
      • 9.4.4.4 LAMEA Government & Defense Market by Country
      • 9.4.4.5 LAMEA Healthcare Market by Country
      • 9.4.4.6 LAMEA Industrial & Manufacturing Market by Country
      • 9.4.4.7 LAMEA Other Vertical Market by Country
    • 9.4.5 LAMEA Fraud Detection and Prevention Market by Country
      • 9.4.5.1 Brazil Fraud Detection and Prevention Market
        • 9.4.5.1.1 Brazil Fraud Detection and Prevention Market by Component
        • 9.4.5.1.2 Brazil Fraud Detection and Prevention Market by Organization
        • 9.4.5.1.3 Brazil Fraud Detection and Prevention Market by Application
        • 9.4.5.1.4 Brazil Fraud Detection and Prevention Market by Vertical
      • 9.4.5.2 Argentina Fraud Detection and Prevention Market
        • 9.4.5.2.1 Argentina Fraud Detection and Prevention Market by Component
        • 9.4.5.2.2 Argentina Fraud Detection and Prevention Market by Organization
        • 9.4.5.2.3 Argentina Fraud Detection and Prevention Market by Application
        • 9.4.5.2.4 Argentina Fraud Detection and Prevention Market by Vertical
      • 9.4.5.3 UAE Fraud Detection and Prevention Market
        • 9.4.5.3.1 UAE Fraud Detection and Prevention Market by Component
        • 9.4.5.3.2 UAE Fraud Detection and Prevention Market by Organization
        • 9.4.5.3.3 UAE Fraud Detection and Prevention Market by Application
        • 9.4.5.3.4 UAE Fraud Detection and Prevention Market by Vertical
      • 9.4.5.4 Saudi Arabia Fraud Detection and Prevention Market
        • 9.4.5.4.1 Saudi Arabia Fraud Detection and Prevention Market by Component
        • 9.4.5.4.2 Saudi Arabia Fraud Detection and Prevention Market by Organization
        • 9.4.5.4.3 Saudi Arabia Fraud Detection and Prevention Market by Application
        • 9.4.5.4.4 Saudi Arabia Fraud Detection and Prevention Market by Vertical
      • 9.4.5.5 South Africa Fraud Detection and Prevention Market
        • 9.4.5.5.1 South Africa Fraud Detection and Prevention Market by Component
        • 9.4.5.5.2 South Africa Fraud Detection and Prevention Market by Organization
        • 9.4.5.5.3 South Africa Fraud Detection and Prevention Market by Application
        • 9.4.5.5.4 South Africa Fraud Detection and Prevention Market by Vertical
      • 9.4.5.6 Nigeria Fraud Detection and Prevention Market
        • 9.4.5.6.1 Nigeria Fraud Detection and Prevention Market by Component
        • 9.4.5.6.2 Nigeria Fraud Detection and Prevention Market by Organization
        • 9.4.5.6.3 Nigeria Fraud Detection and Prevention Market by Application
        • 9.4.5.6.4 Nigeria Fraud Detection and Prevention Market by Vertical
      • 9.4.5.7 Rest of LAMEA Fraud Detection and Prevention Market
        • 9.4.5.7.1 Rest of LAMEA Fraud Detection and Prevention Market by Component
        • 9.4.5.7.2 Rest of LAMEA Fraud Detection and Prevention Market by Organization
        • 9.4.5.7.3 Rest of LAMEA Fraud Detection and Prevention Market by Application
        • 9.4.5.7.4 Rest of LAMEA Fraud Detection and Prevention Market by Vertical

Chapter 10. Company Profiles

  • 10.1 Dell Technologies, Inc.
    • 10.1.1 Company Overview
    • 10.1.2 Financial Analysis
    • 10.1.3 Segmental and Regional Analysis
    • 10.1.4 Research & Development Expense
    • 10.1.5 Recent strategies and developments:
      • 10.1.5.1 Partnerships, Collaborations, and Agreements:
    • 10.1.6 SWOT Analysis
  • 10.2 BAE Systems PLC
    • 10.2.1 Company Overview
    • 10.2.2 Financial Analysis
    • 10.2.3 Segmental and Regional Analysis
    • 10.2.4 Research & Development Expenses
    • 10.2.5 Recent strategies and developments:
      • 10.2.5.1 Partnerships, Collaborations, and Agreements:
    • 10.2.6 SWOT Analysis
  • 10.3 IBM Corporation
    • 10.3.1 Company Overview
    • 10.3.2 Financial Analysis
    • 10.3.3 Regional & Segmental Analysis
    • 10.3.4 Research & Development Expenses
    • 10.3.5 Recent strategies and developments:
      • 10.3.5.1 Product Launches and Product Expansions:
    • 10.3.6 SWOT Analysis
  • 10.4 Oracle Corporation
    • 10.4.1 Company Overview
    • 10.4.2 Financial Analysis
    • 10.4.3 Segmental and Regional Analysis
    • 10.4.4 Research & Development Expense
    • 10.4.5 Recent strategies and developments:
      • 10.4.5.1 Partnerships, Collaborations, and Agreements:
      • 10.4.5.2 Product Launches and Product Expansions:
    • 10.4.6 SWOT Analysis
  • 10.5 NICE Ltd.
    • 10.5.1 Company Overview
    • 10.5.2 Financial Analysis
    • 10.5.3 Segmental and Regional Analysis
    • 10.5.4 Research & Development Expenses
    • 10.5.5 Recent strategies and developments:
      • 10.5.5.1 Product Launches and Product Expansions:
    • 10.5.6 SWOT Analysis
  • 10.6 SAP SE
    • 10.6.1 Company Overview
    • 10.6.2 Financial Analysis
    • 10.6.3 Regional Analysis
    • 10.6.4 Research & Development Expense
    • 10.6.5 SWOT Analysis
  • 10.7 SAS Institute, Inc.
    • 10.7.1 Company Overview
    • 10.7.2 Recent strategies and developments:
      • 10.7.2.1 Partnerships, Collaborations, and Agreements:
    • 10.7.3 SWOT Analysis
  • 10.8 Fair Isaac Corporation (FICO)
    • 10.8.1 Company Overview
    • 10.8.2 Financial Analysis
    • 10.8.3 Segmental and Regional Analysis
    • 10.8.4 Research & Development Expenses
    • 10.8.5 Recent strategies and developments:
      • 10.8.5.1 Partnerships, Collaborations, and Agreements:
  • 10.9 NCR Corporation
    • 10.9.1 Company Overview
    • 10.9.2 Financial Analysis
    • 10.9.3 Segmental and Regional Analysis
    • 10.9.4 Research & Development Expenses
    • 10.9.5 SWOT Analysis
  • 10.10. ACI Worldwide, Inc.
    • 10.10.1 Company Overview
    • 10.10.2 Financial Analysis
    • 10.10.3 Segmental and Regional Analysis
    • 10.10.4 Research & Development Expenses
    • 10.10.5 Recent strategies and developments:
      • 10.10.5.1 Partnerships, Collaborations, and Agreements:

Chapter 11. Winning Imperatives of Fraud Detection and Prevention Market

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