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시장보고서
상품코드
2111118
BFSI용 부정 탐지 및 방지(FDP) 시장 예측(-2031년) : 오퍼링별, 부정 유형별, 조직 규모별, 사용 사례별, 지역별Fraud Detection and Prevention (FDP) in BFSI Market by Fraud Type (Investment, Payment), Use Case (Banking (Account Takeover Detection & Prevention), Financial Services (Payment & Remittance, Crypto & Digital Asset), Insurance) - Global Forecast to 2031 |
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세계의 BFSI용 부정 탐지·방지(FDP) 시장 규모는 2026년 77억 8,000만 달러에서 2031년까지 150억 6,000만 달러로 성장하며, 예측 기간 중 CAGR은 14.1%에 달할 것으로 전망되고 있습니다.
이 시장의 성장은 주로 BFSI 부문 전반에 걸친 금융 사기로 인한 손실 증가와 AI를 활용한 사기 예측 분석 기술의 발전에 힘입어 견인되고 있습니다.
| 조사 범위 | |
|---|---|
| 조사 대상 기간 | 2020-2031년 |
| 기준연도 | 2025년 |
| 예측 기간 | 2026-2031년 |
| 산정 단위 | 금액(10억 달러) |
| 부문 | 오퍼링별, 부정 유형별, 조직 규모별, 사용 사례별, 지역별 |
| 대상 지역 | 북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카 |
디지털 거래가 점점 더 복잡해지는 가운데, 금융 기관들은 인공지능(AI)과 기계학습을 도입하여 오탐을 줄이면서 의심스러운 활동을 실시간으로 식별하고 있습니다. 예를 들어 마스터카드의 'Decision Intelligence Pro'는 생성형 AI를 활용하여 전 세계 결제 네트워크 전반에 걸친 거래 위험 평가와 부정 행위 탐지를 강화하고 있습니다.
"서비스별로는 예측 기간 중 매니지드 서비스 부문이 가장 높은 연평균 성장률(CAGR)을 기록할 것으로 전망됩니다."
예측 기간 중 BFSI(은행·금융·보험) 분야의 FDP 시장에서 매니지드 서비스가 가장 빠른 성장률을 보일 것으로 전망됩니다. 이는 금융 기관들이 고도화되는 사기에 대응하면서 업무의 복잡성을 줄이기 위해 전문적인 노하우를 점점 더 많이 요구하고 있기 때문입니다. 디지털 결제의 급속한 확대, 규제 요건의 변화, 숙련된 사이버 보안 전문가의 부족으로 인해 은행과 보험사는 FDP 모니터링, 사고 대응, 플랫폼 관리를 매니지드 서비스 제공업체에 위탁하고 있습니다. 또한 매니지드 서비스를 이용함으로써 막대한 사내 투자를 하지 않고도 지속적인 사기 감시, AI를 활용한 FDP 기능의 신속한 도입, 그리고 솔루션의 정기적인 업데이트가 가능해집니다. IBM은 사이버 보안 인력 부족에 직면한 조직들이 전문적인 노하우를 활용하고 업무 효율을 높이기 위해 매니지드 보안 서비스에 대한 의존도를 높이고 있다고 지적합니다.
"솔루션 제공을 통해 예측 기간 중 솔루션이 최대 시장 점유율을 차지할 것으로 예상됩니다."
디지털 뱅킹, 카드 결제, 대출, 보험 거래 분야에서 실시간 부정 행위 탐지에 대한 수요가 높아지고 있는 것을 배경으로, 예측 기간 중 BFSI 시장의 부정 행위 탐지 및 방지 분야에서 해당 솔루션이 최대 시장 점유율을 차지할 것으로 예상됩니다. 금융 기관들은 AI, 머신러닝, 행동 분석, 리스크 기반 인증을 결합한 통합형 부정 탐지·방지 플랫폼을 우선적으로 도입하여, 점점 더 교묘해지는 부정 행위를 탐지하고 방지하고 있습니다. 이러한 솔루션은 규제 준수를 지원하고, 중앙 집중식 부정 행위 모니터링 및 여러 은행 채널에 걸친 원활한 통합을 가능하게 하여, 기업의 부정 행위 대응 전략에서 필수적인 요소로 자리 잡고 있습니다. 예를 들어 NICE Actimize는 금융 기관이 새로운 금융 범죄를 보다 효과적으로 탐지할 수 있도록, 고급 분석 기능과 실시간 모니터링 기능을 갖춘 AI 기반 부정 방지 플랫폼을 지속적으로 확장하고 있습니다.
조직 규모별로는 예측 기간 중 중소기업(SME) 부문이 시장을 주도할 것으로 예상됩니다.
중소기업(SME)은 디지털 뱅킹, 핀테크 플랫폼 및 클라우드 기반 금융 서비스의 급속한 보급에 힘입어, 예측 기간 중 BFSI 시장의 사기 탐지 및 방지 분야에서 가장 높은 성장률을 기록할 것으로 예상됩니다. 중소기업이 디지털 결제, 대출, 보험 서비스 제공을 확대함에 따라 계정 탈취, 결제 사기, 신원 도용 공격에 노출될 위험이 높아지고 있는 반면, 사내의 사기 관리에 관한 전문 지식이 부족한 경우가 적지 않습니다. 이러한 상황으로 인해 초기 투자를 최소화하고 신속한 도입이 가능하면서도 기업급 보호 기능을 제공하는 클라우드 네이티브 기반의 AI 활용 사기 탐지 및 방지 솔루션 도입이 가속화되고 있습니다. 예를 들어 마이크로소프트의 ‘Fraud Protection’ 플랫폼은 AI를 활용한 위험 평가와 확장 가능한 클라우드 기반 기능을 통해 금융 기관 및 디지털 기업이 사기 방지 대책을 강화할 수 있도록 지원합니다.
주요 응답자 구성
BFSI 시장의 사기 탐지 및 방지 분야 주요 벤더로는 FIS Global(미국), Fiserv(미국), TransUnion(미국), LexisNexis(미국), ACI Worldwide(미국), Experian(아일랜드), SAS Institute(미국), NICE Actimize(미국), BioCatch(미국), Feedzai(미국), RSA Security(미국), Equifax(미국), SIFT(미국), DataVisor(미국), IBM(미국), GBG(영국), Featurespace(잉글랜드), XTN Cognitive(이탈리아), PIPL(미국), JuicyScore(UAE), Amani Technologies(UAE), Cleafy(이탈리아), Alpha Group(이탈리아) 및 FUGU-IT(이스라엘) 등이 있습니다.
본 조사에서는 BFSI 시장의 부정 탐지 및 방지 분야 주요 기업에 대해 상세한 경쟁 분석, 기업 개요, 최근 동향 및 주요 시장 전략을 포괄적으로 다루고 있습니다.
조사 범위
이 보고서에서는 부정 탐지 및 방지 시장을 세분화하여, 제공 서비스별, 부정 유형별, 조직 규모별, 사용 사례별 및 지역별로 분류하고 있습니다.
또한 본 조사에서는 시장의 주요 참여 기업에 대한 상세한 경쟁 분석, 각 기업의 프로필, 제품 및 사업 제공과 관련된 주요 관찰 사항, 최근 동향, 그리고 주요 시장 전략에 대해서도 다루고 있습니다.
이 보고서 구매의 주요 이점
이 보고서는 BFSI 시장내 부정 탐지 및 방지 시장 전체와 그 하위 부문의 매출에 대해 가장 정확한 추정치를 제공함으로써, 시장을 선도하는 기업 및 신규 진입 기업을 지원합니다. 이 보고서는 이해관계자 여러분이 경쟁 구도를 이해하고, 자사의 비즈니스를 더 나은 위치로 이끌며, 적절한 시장 진입 전략을 수립하는 데 필요한 귀중한 인사이트를 얻는 데 도움이 됩니다. 또한 이 보고서는 이해관계자 여러분이 시장 동향을 파악하는 데 도움을 주며, 주요 시장 촉진요인, 억제요인, 과제 및 기회에 대한 정보를 제공합니다.
이 보고서는 다음 사항에 대한 인사이트를 제공합니다. :
- 주요 촉진요인(BFSI 부문 전반에 걸친 금융 사기별 손실 증가, 디지털 뱅킹 및 실시간 결제 생태계의 확대, 사기 방지 및 거버넌스에 대한 규제 당국의 관심 증대), 제약 요인(높은 도입 및 운영 비용, 엔드포인트 보안과 레거시 IT 환경 간의 통합 복잡성), 기회(AI를 활용한 예측형 사기 분석의 발전, 디지털 ID 및 행동 인증의 채택 확대, 협업형 사기 인텔리전스 플랫폼의 확대) 및 과제(사기 방지 및 원활한 고객 경험 간의 균형, 새로운 사기 방법에 대한 지속적인 적응)에 대한 인사이트를 제공합니다.
- 제품 개발/혁신: BFSI 시장의 사기 탐지 및 방지 분야의 향후 기술 동향, 연구개발 활동, 신제품 및 서비스 출시에 대한 상세 인사이트.
- 시장 개발: 수익성이 높은 시장에 대한 포괄적인 정보?이 보고서에서는 다양한 지역의 BFSI 시장내 사기 탐지 및 방지 시장을 분석하고 있습니다.
- 시장 다각화: BFSI 시장내 사기 탐지 및 방지 분야의 신제품·서비스, 미개발 지역, 최근 동향 및 투자에 관한 포괄적인 정보.
- 경쟁 분석: FIS Global(미국), Fiserv(미국), TransUnion(미국), LexisNexis(미국), ACI Worldwide(미국), Experian(아일랜드), SAS Institute(미국), NICE Actimize(미국), BioCatch(미국), Feedzai(미국) 등 주요 기업의 시장 점유율, 성장 전략, 서비스 제공에 대해 BFSI 시장의 사기 탐지 및 방지 분야에서 상세히 평가하고 있습니다.
자주 묻는 질문
목차
제1장 서론
제2장 개요
제3장 주요 인사이트
제4장 시장 개요
제5장 규제 상황
제6장 소비자의 상황과 구매 행동
제7장 BFSI용 부정 탐지·방지 시장(오퍼링별)
제8장 BFSI용 부정 탐지·방지 시장(부정 유형별)
제9장 BFSI용 부정 탐지·방지 시장(조직 규모별)
제10장 BFSI용 부정 탐지·방지 시장(사용 사례)
제11장 BFSI용 부정 탐지·방지 시장(지역별)
제12장 경쟁 구도
제13장 기업 개요
제14장 조사 방법
제15장 부록
KSA 26.08.19The global fraud detection and prevention in BFSI market is projected to grow from USD 7.78 billion in 2026 to USD 15.06 billion by 2031, at a CAGR of 14.1% during the forecast period. The market growth is primarily driven by rising financial fraud losses across the BFSI sector and advancements in AI-driven predictive fraud analytics.
| Scope of the Report | |
|---|---|
| Years Considered for the Study | 2020-2031 |
| Base Year | 2025 |
| Forecast Period | 2026-2031 |
| Units Considered | Value (USD Billion) |
| Segments | By Fraud Type, Use Case, Financial Services, |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
As digital transactions become increasingly complex, financial institutions are deploying artificial intelligence and machine learning to identify suspicious activities in real time while reducing false positives. For example, Mastercard's Decision Intelligence Pro leverages generative AI to strengthen transaction risk assessment and fraud detection across global payment networks.
"By services, the managed services segment is expected to witness the highest CAGR during the forecast period."
Managed services are projected to grow at the fastest rate in the FDP market in BFSI during the forecast period, as financial institutions increasingly seek specialized expertise to combat sophisticated fraud while reducing operational complexity. The rapid expansion of digital payments, evolving regulatory requirements, and the shortage of skilled cybersecurity professionals are encouraging banks and insurers to outsource FDP monitoring, incident response, and platform management to managed service providers. Additionally, managed services enable continuous fraud monitoring, faster deployment of AI-driven FDP capabilities, and regular solution updates without significant in-house investments. IBM highlights that organizations facing cybersecurity skills shortages increasingly rely on managed security services to access specialized expertise and improve operational efficiency.
"By offering, solutions are projected to hold the largest market share during the forecast period."
Solutions are expected to hold the largest market share in the fraud detection and prevention in BFSI market during the forecast period, driven by the increasing need for real-time fraud detection across digital banking, card payments, lending, and insurance transactions. Financial institutions are prioritizing integrated fraud detection and prevention platforms that combine AI, machine learning, behavioral analytics, and risk-based authentication to detect and prevent increasingly sophisticated fraud. These solutions also support regulatory compliance, centralized fraud monitoring, and seamless integration across multiple banking channels, making them a critical component of enterprise fraud strategies. For example, NICE Actimize continues to expand its AI-powered fraud prevention platform with advanced analytics and real-time monitoring capabilities to help financial institutions detect emerging financial crime more effectively.
By organization size, the SMEs segment is expected to lead the market during the forecast period.
Small and medium-sized enterprises (SMEs) are expected to register the highest growth rate in the fraud detection and prevention in BFSI market during the forecast period, driven by the rapid adoption of digital banking, fintech platforms, and cloud-based financial services. As SMEs increasingly offer digital payment, lending, and insurance services, they face growing exposure to account takeover, payment fraud, and identity-based attacks while often operating with limited in-house fraud management expertise. This is accelerating the adoption of cloud-native, AI-powered fraud detection and prevention solutions that provide enterprise-grade protection with lower upfront investment and faster deployment. For example, Microsoft's Fraud Protection platform enables financial institutions and digital businesses to strengthen fraud prevention using AI-driven risk assessment and scalable cloud-based capabilities.
Breakdown of Primaries
The study draws insights from a range of industry experts, including component suppliers, Tier 1 companies, and OEMs. The break-up of the primaries is as follows:
- By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
- By Designation: C-level Executives - 30%, Directors - 40%, Others - 30%
- By Region: North America - 35%, Europe - 25%, Asia Pacific - 25%, Middle East & Africa - 10%, Latin America - 5%
Major vendors in the fraud detection and prevention in BFSI market include FIS Global (US), Fiserv (US), TransUnion (US), LexisNexis (US), ACI Worldwide (US), Experian (Ireland), SAS Institute (US), NICE Actimize (US), BioCatch (US), Feedzai (US), RSA Security (US), Equifax (US), SIFT (US), DataVisor (US), IBM (US), GBG (UK), Featurespace (England), XTN Cognitive (Italy), PIPL (US), JuicyScore (UAE), Amani Technologies (UAE), Cleafy (Italy), Alpha Group (Italy), and FUGU-IT (Israel).
The study includes an in-depth competitive analysis of the key players in the fraud detection and prevention in BFSI market, their company profiles, recent developments, and key market strategies.
Research Coverage
The report segments the fraud detection and prevention market and forecasts its size based on Offering (Solutions (Fraud Analytics, Authentication, Governance, Risk, and Compliance (GRC), Services (Professional Services, Managed Services))), Fraud Type (Check Fraud, Identity Fraud, Insider Fraud, Investment Fraud, Payment Fraud, Insurance Fraud, Friendly Fraud, Others), Organization Size (Large Enterprises, SMEs), Use Case (Banking (Account Opening, Account Access And Re-Authentication, High-Value Transaction Authorization, Account Takeover Detection And Prevention, Customer, Employee And Agent Identity Verification), Financial Services (Payment & Remittance, Lending & Credit Management, Crypto & Digital Asset Exchange, Investment, Wealth Management & Brokerage, Others), Insurance (Customer Onboarding & eKYC, Claims Management, Policy Issuance, Reinsurance, Others)) and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).
The study also includes an in-depth competitive analysis of the market's key players, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help market leaders/new entrants with information on the closest approximations of revenue numbers for the overall fraud detection and prevention in BFSI market and its subsegments. This report will help stakeholders understand the competitive landscape and gain valuable insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of critical drivers (Rising financial fraud losses across the BFSI sector, Expansion of digital banking and real-time payment ecosystems, Increasing regulatory emphasis on fraud prevention and governance), restraints (High deployment and operational costs, Complexity of integrating endpoint security with legacy IT environments), opportunities (Advancements in AI-driven predictive fraud analytics, Growing adoption of digital identity and behavioral authentication, Expansion of collaborative fraud intelligence platforms), and challenges (Balancing fraud prevention with seamless customer experience, Continuous adaptation to emerging fraud techniques).
- Product Development/Innovation: Detailed insights on upcoming technologies, research development activities, new products, and service launches in the fraud detection and prevention in BFSI market.
- Market Development: Comprehensive information about lucrative markets - the report analyses the fraud detection and prevention in BFSI market across varied regions.
- Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the fraud detection and prevention in BFSI market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as FIS Global (US), Fiserv (US), TransUnion (US), LexisNexis (US), ACI Worldwide (US), Experian (Ireland), SAS Institute (US), NICE Actimize (US), BioCatch (US), and Feedzai (US), in the fraud detection and prevention in BFSI market.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.3 STUDY SCOPE AND SEGMENTATION
- 1.3.1 MARKET SEGMENTATION
- 1.3.2 INCLUSIONS AND EXCLUSIONS
- 1.3.3 YEARS CONSIDERED
- 1.4 CURRENCY CONSIDERED
- 1.5 STAKEHOLDERS
2 EXECUTIVE SUMMARY
- 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
3 PREMIUM INSIGHTS
- 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN FRAUD DETECTION AND PREVENTION IN BFSI MARKET
- 3.2 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY FRAUD TYPE
- 3.3 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY SOLUTION
- 3.4 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY BFSI
- 3.5 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY REGION
4 MARKET OVERVIEW
- 4.1 INTRODUCTION
- 4.2 MARKET DYNAMICS
- 4.2.1 DRIVERS
- 4.2.1.1 Rising financial fraud losses across BFSI sector
- 4.2.1.2 Expansion of digital banking and real-time payment ecosystems
- 4.2.1.3 Increasing regulatory emphasis on fraud prevention and governance
- 4.2.2 RESTRAINTS
- 4.2.2.1 Legacy banking infrastructure and fragmented technology environments
- 4.2.2.2 High implementation complexity and operational costs
- 4.2.3 OPPORTUNITIES
- 4.2.3.1 Advancements in AI-driven predictive fraud analytics
- 4.2.3.2 Growing adoption of digital identity and behavioral authentication
- 4.2.3.3 Expansion of collaborative fraud intelligence platforms
- 4.2.4 CHALLENGES
- 4.2.4.1 Balancing fraud prevention with seamless customer experience
- 4.2.4.2 Continuous adaptation to emerging fraud techniques
- 4.2.1 DRIVERS
- 4.3 IMPACT OF AI/GEN AI ON FDP IN BFSI MARKET
- 4.3.1 TOP USE CASES AND MARKET POTENTIAL
- 4.3.2 BEST PRACTICES IN FDP IN BFSI MARKET
- 4.3.3 CASE STUDIES RELATED TO AI IMPLEMENTATION IN FDP IN BFSI MARKET
- 4.3.4 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS
- 4.3.5 CLIENTS' READINESS TO ADOPT GENERATIVE AI IN FDP IN BFSI MARKET
5 REGULATORY LANDSCAPE
- 5.1 REGIONAL REGULATIONS AND COMPLIANCE
- 5.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.1.2 INDUSTRY STANDARDS
6 CONSUMER LANDSCAPE AND BUYER BEHAVIOR
- 6.1 DECISION-MAKING PROCESS
- 6.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
- 6.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 6.2.2 BUYING CRITERIA
- 6.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES
- 6.4 UNMET NEEDS IN VARIOUS END-USE INDUSTRIES
7 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY OFFERING
- 7.1 INTRODUCTION
- 7.1.1 OFFERING: MARKET DRIVERS
- 7.2 SOLUTIONS
- 7.2.1 AI-DRIVEN FRAUD ANALYTICS PLATFORMS ACCELERATE ADOPTION OF INTEGRATED DETECTION SOLUTIONS
- 7.2.2 FRAUD ANALYTICS
- 7.2.3 AUTHENTICATION
- 7.2.4 GOVERNANCE, RISK, AND COMPLIANCE (GRC)
- 7.3 SERVICES
- 7.3.1 SPECIALIZED FRAUD SERVICES IMPROVE DETECTION PERFORMANCE AND REGULATORY ALIGNMENT
- 7.3.2 PROFESSIONAL SERVICES
- 7.3.3 MANAGED SERVICES
8 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY FRAUD TYPE
- 8.1 INTRODUCTION
- 8.1.1 FRAUD TYPE: MARKET DRIVERS
- 8.2 CHECK FRAUD
- 8.2.1 PERSISTENT CHECK USAGE DRIVES ADOPTION OF AI-BASED CHECK FRAUD DETECTION
- 8.3 IDENTITY FRAUD
- 8.3.1 ESCALATING IDENTITY FRAUD ACCELERATES ADOPTION OF INTELLIGENT IDENTITY VERIFICATION SOLUTIONS
- 8.4 INSIDER FRAUD
- 8.4.1 INCREASING INTERNAL RISK EXPOSURE DRIVES ADOPTION OF AI-POWERED INSIDER FRAUD DETECTION
- 8.5 INVESTMENT FRAUD
- 8.5.1 RISING INVESTMENT SCAMS FUEL DEMAND FOR INVESTMENT FRAUD DETECTION
- 8.6 PAYMENT FRAUD
- 8.6.1 REAL-TIME PAYMENT GROWTH ACCELERATES DEMAND FOR INTELLIGENT PAYMENT FRAUD DETECTION
- 8.7 INSURANCE FRAUD
- 8.7.1 RISING CLAIMS COMPLEXITY DRIVES ADOPTION OF AI-POWERED INSURANCE FRAUD DETECTION
- 8.8 FRIENDLY FRAUD
- 8.8.1 RISING CHARGEBACK ABUSE DRIVES ADOPTION OF INTELLIGENT FRIENDLY FRAUD MANAGEMENT
- 8.9 OTHER FRAUD TYPES
9 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY ORGANIZATION SIZE
- 9.1 INTRODUCTION
- 9.1.1 ORGANIZATION SIZE: MARKET DRIVERS
- 9.2 LARGE ENTERPRISES
- 9.2.1 COMPLEX ENTERPRISE OPERATIONS ACCELERATE ADOPTION OF INTEGRATED FRAUD MANAGEMENT PLATFORMS
- 9.3 SMES
- 9.3.1 CLOUD-NATIVE FRAUD PLATFORMS ENABLE ENTERPRISE-GRADE PROTECTION FOR SMES
10 FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY USE CASE
- 10.1 INTRODUCTION
- 10.1.1 USE CASE: MARKET DRIVERS
- 10.2 BANKING
- 10.2.1 DIGITAL BANKING TRANSFORMATION FUELS EMBEDDED FRAUD DETECTION ACROSS CUSTOMER JOURNEYS
- 10.2.2 ACCOUNT OPENING
- 10.2.3 ACCOUNT ACCESS AND RE-AUTHENTICATION
- 10.2.4 HIGH-VALUE TRANSACTION AUTHORIZATION
- 10.2.5 ACCOUNT TAKEOVER DETECTION AND PREVENTION
- 10.2.6 CUSTOMER, EMPLOYEE, AND AGENT IDENTITY VERIFICATION
- 10.3 FINANCIAL SERVICES
- 10.3.1 RISING FRAUD EXPOSURE ACCELERATES ADOPTION OF INTELLIGENT FINANCIAL CRIME MANAGEMENT
- 10.3.2 PAYMENT & REMITTANCE
- 10.3.3 LENDING & CREDIT MANAGEMENT
- 10.3.4 CRYPTO & DIGITAL ASSET EXCHANGE
- 10.3.5 INVESTMENT, WEALTH MANAGEMENT & BROKERAGE
- 10.3.6 OTHERS
- 10.4 INSURANCE
- 10.4.1 EMBEDDED FRAUD INTELLIGENCE TRANSFORMS UNDERWRITING AND CLAIMS OPERATIONS
- 10.4.2 CUSTOMER ONBOARDING & EKYC
- 10.4.3 CLAIMS MANAGEMENT
- 10.4.4 POLICY ISSUANCE
- 10.4.5 REINSURANCE
- 10.4.6 OTHERS
11 FRAUD DETECTION AND PREVENTION MARKET IN BFSI, BY REGION
- 11.1 INTRODUCTION
- 11.2 NORTH AMERICA
- 11.2.1 NORTH AMERICA: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
- 11.2.2 US
- 11.2.2.1 Rising Identity Fraud and AI-Driven Threats Accelerate Advanced Fraud Prevention Adoption
- 11.2.3 CANADA
- 11.2.3.1 Escalating Fraud Losses and AI Adoption Drive Modernization of Fraud Prevention Capabilities
- 11.3 EUROPE
- 11.3.1 EUROPE: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
- 11.3.2 UK
- 11.3.2.1 Mandatory APP Reimbursement and AI Innovation Strengthen Proactive Fraud Prevention
- 11.3.3 GERMANY
- 11.3.3.1 Digital Fraud and Cross-Border Criminal Networks Strengthen Demand for Intelligent Fraud Prevention
- 11.3.4 FRANCE
- 11.3.4.1 Rising Manipulation Fraud and Rapid Payment Innovation Accelerate Intelligent Fraud Prevention
- 11.3.5 ITALY
- 11.3.5.1 Instant Payment Risks and Social Engineering Accelerate Real-Time Fraud Prevention Adoption
- 11.3.6 REST OF EUROPE
- 11.4 ASIA PACIFIC
- 11.4.1 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
- 11.4.2 CHINA
- 11.4.2.1 AI-Enabled Scams and Stronger Account Controls Accelerate Intelligent Fraud Prevention
- 11.4.3 JAPAN
- 11.4.3.1 Rising Scam Losses and Account Misuse Strengthen Proactive Fraud Prevention Measures
- 11.4.4 INDIA
- 11.4.4.1 AI-Driven Mule Account Detection and Inter-Agency Intelligence Strengthen Fraud Prevention
- 11.4.5 REST OF ASIA PACIFIC
- 11.5 MIDDLE EAST & AFRICA
- 11.5.1 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
- 11.5.2 MIDDLE EAST
- 11.5.2.1 Centralized Fraud Intelligence and Stronger Authentication Advance Proactive Fraud Prevention
- 11.5.3 AFRICA
- 11.5.3.1 Rising Mobile Banking Fraud and Fast-Payment Expansion Strengthen Real-Time Fraud Detection
- 11.6 LATIN AMERICA
- 11.6.1 LATIN AMERICA: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
- 11.6.2 BRAZIL
- 11.6.2.1 Pix-Specific Security Controls and Rapid Fund Blocking Strengthen Fraud Prevention
- 11.6.3 MEXICO
- 11.6.3.1 Rising Digital Fraud Complaints and Institutional Collaboration Strengthen Financial Fraud Controls
- 11.6.4 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
- 12.1 INTRODUCTION
- 12.2 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
- 12.2.1 STARS
- 12.2.2 EMERGING LEADERS
- 12.2.3 PERVASIVE PLAYERS
- 12.2.4 PARTICIPANTS
- 12.2.5 COMPANY FOOTPRINT, 2025
- 12.3 COMPETITIVE SCENARIO
- 12.3.1 PRODUCT LAUNCHES & ENHANCEMENTS
- 12.3.2 DEALS
13 COMPANY PROFILES
- 13.1 KEY PLAYERS
- 13.1.1 ACI WORLDWIDE
- 13.1.1.1 Business overview
- 13.1.1.2 Products/Solutions/Services offered
- 13.1.1.3 Recent developments
- 13.1.1.3.1 Deals
- 13.1.1.4 MnM view
- 13.1.1.4.1 Key strengths
- 13.1.1.4.2 Strategic choices
- 13.1.1.4.3 Weaknesses and competitive threats
- 13.1.2 FIS GLOBAL
- 13.1.2.1 Business overview
- 13.1.2.2 Products/Solutions/Services offered
- 13.1.2.3 Recent developments
- 13.1.2.3.1 Product launches and enhancements
- 13.1.2.3.2 Deals
- 13.1.2.4 MnM view
- 13.1.2.4.1 Key strengths
- 13.1.2.4.2 Strategic choices
- 13.1.2.4.3 Weaknesses and competitive threats
- 13.1.3 FISERV
- 13.1.3.1 Business overview
- 13.1.3.2 Products/Solutions/Services offered
- 13.1.3.3 Recent developments
- 13.1.3.3.1 Deals
- 13.1.3.4 MnM view
- 13.1.3.4.1 Key strengths
- 13.1.3.4.2 Strategic choices
- 13.1.3.4.3 Weaknesses and competitive threats
- 13.1.4 TRANSUNION
- 13.1.4.1 Business overview
- 13.1.4.2 Products/Solutions/Services offered
- 13.1.4.2.1 Product launches and enhancements
- 13.1.4.2.2 Deals
- 13.1.4.3 MnM view
- 13.1.4.3.1 Key strengths
- 13.1.4.3.2 Strategic choices
- 13.1.4.3.3 Weaknesses and competitive threats
- 13.1.5 LEXISNEXIS RISK SOLUTIONS
- 13.1.5.1 Business overview
- 13.1.5.2 Products/Solutions/Services offered
- 13.1.5.3 Recent developments
- 13.1.5.3.1 Product launches and enhancements
- 13.1.5.3.2 Deals
- 13.1.5.3.3 Expansions
- 13.1.5.4 MnM view
- 13.1.5.4.1 Key strengths
- 13.1.5.4.2 Strategic choices made
- 13.1.5.4.3 Weaknesses and competitive threats
- 13.1.6 EXPERIAN
- 13.1.6.1 Business overview
- 13.1.6.2 Products/Solutions/Services offered
- 13.1.6.3 Recent developments
- 13.1.6.3.1 Product launches and enhancements
- 13.1.6.3.2 Deals
- 13.1.6.3.3 Other developments
- 13.1.7 SAS INSTITUTE
- 13.1.7.1 Business overview
- 13.1.7.2 Products/Solutions/Services offered
- 13.1.7.3 Recent developments
- 13.1.7.3.1 Deals
- 13.1.8 NICE ACTIMIZE
- 13.1.8.1 Business overview
- 13.1.8.2 Products/Solutions/Services offered
- 13.1.8.3 Recent developments
- 13.1.8.3.1 Product launches and enhancements
- 13.1.9 FEEDZAI
- 13.1.9.1 Business overview
- 13.1.9.2 Products/Solutions/Services offered
- 13.1.9.3 Recent developments
- 13.1.9.3.1 Product launches and enhancements
- 13.1.9.3.2 Deals
- 13.1.10 OUTSEER (RSA SECURITY)
- 13.1.10.1 Business overview
- 13.1.10.2 Products/Solutions/Services offered
- 13.1.10.3 Recent developments
- 13.1.10.3.1 Product launches and enhancements
- 13.1.10.3.2 Deals
- 13.1.11 GBG
- 13.1.11.1 Business overview
- 13.1.11.2 Products/Solutions/Services offered
- 13.1.11.3 Recent developments
- 13.1.11.3.1 Product launches and enhancements
- 13.1.11.3.2 Deals
- 13.1.12 EQUIFAX
- 13.1.12.1 Business overview
- 13.1.12.2 Products/Solutions/Services offered
- 13.1.12.3 Recent developments
- 13.1.12.3.1 Product launches
- 13.1.12.3.2 Deals
- 13.1.13 IBM
- 13.1.13.1 Business overview
- 13.1.13.2 Products/Solutions/Services offered
- 13.1.13.3 Recent developments
- 13.1.13.3.1 Product launches
- 13.1.13.3.2 Deals
- 13.1.14 ALFA GROUP
- 13.1.14.1 Business overview
- 13.1.14.2 Products/Solutions/Services offered
- 13.1.15 BIOCATCH
- 13.1.15.1 Business overview
- 13.1.15.2 Products/Solutions/Services offered
- 13.1.15.3 Recent developments
- 13.1.15.3.1 Product launches/enhancements
- 13.1.15.4 Deals
- 13.1.16 GENPACT
- 13.1.16.1 Business overview
- 13.1.16.2 Products/Solutions/Services offered
- 13.1.16.3 Recent developments
- 13.1.16.3.1 Product launches/enhancements
- 13.1.17 XTN COGNITIVE SECURITY (CY4GATE)
- 13.1.18 AMANI
- 13.1.19 FUGU
- 13.1.20 SIFT
- 13.1.21 FEATURESPACE
- 13.1.22 CLEAFY
- 13.1.23 DATAVISOR
- 13.1.24 PIPL
- 13.1.25 JUICYSCORE
- 13.1.1 ACI WORLDWIDE
14 RESEARCH METHODOLOGY
- 14.1 RESEARCH DATA
- 14.1.1 SECONDARY DATA
- 14.1.2 PRIMARY DATA
- 14.1.2.1 Breakup of primary profiles
- 14.1.2.2 Key insights from industry experts
- 14.2 DATA TRIANGULATION
- 14.3 MARKET SIZE ESTIMATION
- 14.3.1 TOP-DOWN APPROACH
- 14.3.2 BOTTOM-UP APPROACH
- 14.4 MARKET FORECAST
- 14.5 RESEARCH ASSUMPTIONS
- 14.6 RESEARCH LIMITATIONS
15 APPENDIX
- 15.1 DISCUSSION GUIDE
- 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 15.3 CUSTOMIZATION OPTIONS
- 15.4 RELATED REPORTS
- 15.5 AUTHOR DETAILS
