부정 탐지 및 방지(FDP) 시장 예측(-2031년) : 부정 유형(ID, 결제, 내부, 투자), 제공(솔루션(부정 분석, 인증, GRC), 서비스), 업종(BFSI, 의료, 소매), 지역별

The fraud detection and prevention (FDP) market is projected to grow from USD 35.71 billion in 2026 to USD 80.01 billion by 2031, at a CAGR of 17.5% during the forecast period. The surge in synthetic identities and fraudulent activities, combined with an evolving regulatory environment, is accelerating demand for fraud detection and prevention solutions.

Organizations are investing in AI-driven fraud analytics, identity verification, behavioral biometrics, and risk-based authentication to detect increasingly sophisticated fraud while meeting stringent regulatory requirements related to know your customer (KYC), anti-money laundering (AML), strong customer authentication (SCA), and data protection. These solutions strengthen compliance, reduce fraud losses, and enable secure digital onboarding and transactions across industries.

By fraud type, the insider fraud segment is expected to record the fastest growth rate during the forecast period.

The insider fraud segment is expected to register the highest growth during the forecast period as organizations face increasing risks from employees, contractors, vendors, and privileged users with authorized access to sensitive systems and financial data. The widespread adoption of hybrid work models, cloud platforms, and digital collaboration tools has expanded opportunities for insider threats involving financial fraud, data theft, account misuse, and policy violations. Organizations are increasingly deploying fraud analytics, user and entity behavior analytics (UEBA), identity intelligence, continuous authentication, and AI-driven anomaly detection to identify suspicious internal activities before they result in financial or reputational damage. Regulatory requirements related to data privacy, financial crime prevention, and corporate governance are also encouraging enterprises to strengthen internal fraud monitoring and access controls. Machine learning-based behavioral profiling enables organizations to distinguish legitimate employee behavior from malicious activities while reducing false positives and improving investigation efficiency. According to the LexisNexis Risk Solutions Cybercrime Report, published in March 2026, analysis of more than 116 billion online transactions during 2025 found that human-initiated attacks increased by 15% year over year, highlighting the growing importance of monitoring trusted users and strengthening identity-based fraud controls to mitigate insider-driven risks.

"By deployment mode, the on-premises segment is expected to account for the largest market share in 2026."

The on-premises deployment segment holds the largest market share as highly regulated industries continue to prioritize complete control over sensitive customer information, fraud models, and critical financial systems. Banking, financial services, government agencies, and large enterprises often maintain fraud detection platforms within their own infrastructure to meet stringent data residency, privacy, and compliance requirements while ensuring low latency and seamless integration with legacy systems. On-premises deployments also provide greater customization, governance, and security for mission-critical fraud detection workloads involving payment processing, customer authentication, and financial crime monitoring. Large organizations managing high transaction volumes prefer dedicated infrastructure to optimize performance and maintain operational resilience against evolving cyber threats. The availability of skilled internal security teams and established IT environments also supports continued investment in on-premises deployments despite increasing cloud adoption. According to Experian's 2025 US Identity & Fraud Report, published in July 2025, nearly 60% of businesses reported rising fraud-related losses, while approximately 70% planned to increase investments in fraud-prevention technologies, reflecting the continued modernization of enterprise fraud-detection environments, particularly among large, regulated organizations.

"By vertical, the BFSI segment is projected to hold the largest market share in 2026."

The BFSI segment holds the largest market share due to the industry's high exposure to payment fraud, identity theft, account takeover, synthetic identity fraud, money laundering, and digital banking attacks. Financial institutions process millions of transactions every day across online banking, mobile banking, digital payments, and card networks, making real-time fraud detection and identity verification critical for maintaining customer trust and regulatory compliance. Banks are increasingly investing in AI-driven fraud analytics, behavioral biometrics, risk-based authentication, and transaction monitoring platforms to reduce financial losses while improving customer experience. Growing adoption of instant payments, open banking, embedded finance, and digital wallets has expanded the fraud landscape, increasing the need for advanced fraud prevention technologies. Regulatory frameworks governing know your customer (KYC), anti-money laundering (AML), and payment security continue to accelerate technology adoption across the sector. According to the LexisNexis Risk Solutions Cybercrime Report, published in March 2026, account takeover attacks increased by 18% globally in 2025, while first-party fraud remained one of the most prevalent fraud types affecting financial institutions, underscoring the need for sustained investment in fraud detection and prevention solutions across the BFSI sector.

Breakdown of Primaries

The study draws insights from a range of industry experts, including component suppliers, Tier 1 companies, and OEMs. The breakdown of the primaries is as follows:

• By Company Type: Tier 1 - 55%, Tier 2 - 20%, and Tier 3 - 25%
• By Designation: C-level Executives - 60% and Managerial & Other Levels - 40%
• By Region: North America - 35%, Europe - 30%, Asia Pacific - 25%, Middle East and Africa - 5%, and Latin America - 5%

Major vendors in the FDP market include Fiserv (US), LexisNexis Risk Solutions (US), TransUnion (US), FIS Global (US), NICE Actimize (US), Experian (Ireland), IBM (US), ACI Worldwide (US), SAS Institute (US), RSA Security (US), SAP (Germany), FICO (US), Microsoft (US), F5 (US), AWS (US), Bottomline Technologies (US), Genpact (Bermuda), Securonix (US), (US), Feedzai (Portugal), Caseware (Canada), (US), Signifyd (US), BioCatch (Israel), FRISS (Netherlands), MaxMind (US), DataVisor (US), Clefy (Italy), Gurucul (US), Riskified (Israel), Thomson Reuters (Canada), Sift (US), NoFraud (US), XTN Cognitive Security (Italy), Featurespace (UK), Equifax (US), Alfa Group (Italy), Ping Identity (US), GFT Technologies (Germany), GB Group (UK), Kroll (US), Alloy (US), SEON (Hungary), SpyCloud (US), Enzoic (US), Deduce (US), (US), Resistant Al (Czech Republic), Amani Technologies (UAE), Fugu (Singapore), Pipl (US), Agnovi (US), and Clari5 (Singapore).

The study includes an in-depth competitive analysis of the key players in the FDP market, their company profiles, recent developments, and key market strategies.

Research Coverage

The report segments the FDP market and forecasts its size based on fraud type (check fraud, identity fraud, insider fraud, investment fraud, payment fraud, insurance fraud, friendly fraud, and others), offering (solutions and services), functionality (real-time detection and fraud investigation and case management), deployment mode (on-premises, cloud, and hybrid), organization size (large enterprises and SMEs), vertical (BFSI, retail & eCommerce, government, healthcare, manufacturing, travel & transportation, real estate, telecommunications, and 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 FDP 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 into the following pointers:

• Analysis of critical drivers (surge in synthetic identities, evolving regulatory environment, increased revenue losses and chargebacks due to fraud, surge in fraudulent activities, rising adoption of fraud analytics and risk-based authentication solutions to combat fraud), restraints (false positives with highly sensitive fraud detection systems, rise in online fraud complexity, privacy concerns related to fraud detection), opportunities (rising use of predictive analytics in fraud detection and prevention, increased adoption of advanced technologies, rising demand for transaction fraud protection-as-a-service among digital payment providers, expansion of application fraud detection solutions across online account onboarding channels, growing use of fraud detection tools by card issuers and payment processors to prevent payment fraud, emergence of crypto-focused fraud prevention use cases with growing DeFi and Web3 transactions), and challenges (multifaceted cross-channel fraud, lack of trained professionals to analyze fraud attacks)
• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, new products, and service launches in the FDP market
• Market Development: Comprehensive information about lucrative markets. The report analyses the FDP market across varied regions
• Market Diversification: Exhaustive information about new solutions and services, untapped geographies, recent developments, and investments in the FDP market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as Fiserv (US), LexisNexis Risk Solutions (US), TransUnion (US), FIS Global (US), NICE Actimize (US), Experian (Ireland), ACI Worldwide (US), SAS Institute (US), RSA Security (US), SAP (Germany), and FICO (US), in the FDP 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
• 1.6 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS SHAPING MARKET
• 2.4 HIGH-GROWTH SEGMENTS & EMERGING FRONTIERS
• 2.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN FRAUD DETECTION AND PREVENTION (FDP) MARKET
• 3.2 FRAUD DETECTION AND PREVENTION (FDP) MARKET, BY FRAUD TYPE
• 3.3 FRAUD DETECTION AND PREVENTION (FDP) MARKET, BY SOLUTION
• 3.4 FRAUD DETECTION AND PREVENTION (FDP) MARKET, BY VERTICAL
• 3.5 FRAUD DETECTION AND PREVENTION (FDP) MARKET, BY REGION

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Surge in synthetic identities and fraudulent activities
    • 4.2.1.2 Evolving regulatory environment
    • 4.2.1.3 Increased revenue losses and chargebacks due to fraud
    • 4.2.1.4 Rise in adoption of fraud analytics and risk-based authentication solutions to combat fraud
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 False positives with highly sensitive fraud detection systems
    • 4.2.2.2 Rise in online fraud complexity
    • 4.2.2.3 Privacy concerns related to fraud detection
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Rising use of predictive analytics in fraud detection and prevention
    • 4.2.3.2 Increased adoption of advanced technologies such as AI and ML
    • 4.2.3.3 Rising demand for Transaction Fraud Protection-as-a-Service among digital payment providers
    • 4.2.3.4 Expansion of application fraud detection solutions across online account onboarding channels
    • 4.2.3.5 Growing use of fraud detection tools by card issuers and payment processors to prevent payment fraud
    • 4.2.3.6 Emergence of crypto-focused fraud prevention use cases with growing DeFi and Web3 transactions
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Multifaceted cross-channel fraud
    • 4.2.4.2 Lack of trained professionals to analyze fraud attacks
• 4.3 UNMET NEEDS AND WHITE SPACES
• 4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
  • 4.4.1 INTERCONNECTED MARKETS
  • 4.4.2 CROSS-SECTOR OPPORTUNITIES
• 4.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
  • 4.5.1 CROSS-TIER STRATEGIC PATTERNS
  • 4.5.2 STRATEGIC TRENDS
    • 4.5.2.1 AI-driven Fraud Intelligence and Autonomous Decisioning
    • 4.5.2.2 Convergence of Fraud Prevention and Financial Crime Compliance
    • 4.5.2.3 Identity Centric Security and Real-time Payment Protection

5 INDUSTRY TRENDS

• 5.1 PORTER'S FIVE FORCES ANALYSIS
  • 5.1.1 THREAT OF NEW ENTRANTS
  • 5.1.2 THREAT OF SUBSTITUTES
  • 5.1.3 BARGAINING POWER OF SUPPLIERS
  • 5.1.4 BARGAINING POWER OF BUYERS
  • 5.1.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.2 MACROECONOMIC INDICATORS
  • 5.2.1 INTRODUCTION
  • 5.2.2 GDP TRENDS AND FORECAST
  • 5.2.3 TRENDS IN GLOBAL ICT INDUSTRY
  • 5.2.4 TRENDS IN GLOBAL CYBERSECURITY INDUSTRY
• 5.3 VALUE CHAIN ANALYSIS
  • 5.3.1 PLANNING AND DESIGNING
  • 5.3.2 FDP SOLUTION DEVELOPMENT & DEPLOYMENT
  • 5.3.3 SYSTEM INTEGRATION
  • 5.3.4 DISTRIBUTION
  • 5.3.5 END USERS
• 5.4 ECOSYSTEM
• 5.5 PRICING ANALYSIS
  • 5.5.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING, 2025
  • 5.5.2 INDICATIVE PRICING ANALYSIS, BY VENDOR, 2025
• 5.6 KEY CONFERENCES AND EVENTS IN 2026-2027
• 5.7 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.8 INVESTMENT AND FUNDING SCENARIO
• 5.9 CASE STUDY ANALYSIS
  • 5.9.1 JUICYSCORE HELPED UNA FINANCIAL STRENGTHEN DIGITAL LENDING FRAUD PREVENTION
  • 5.9.2 BIOCATCH HELPED NATWEST REDUCE AUTHORIZED PUSH PAYMENT FRAUD
  • 5.9.3 FEEDZAI HELPED CITY NATIONAL BANK ENHANCE REAL-TIME PAYMENT FRAUD DETECTION
• 5.10 IMPACT OF 2025 US TARIFF - FRAUD DETECTION AND PREVENTION (FDP) MARKET
  • 5.10.1 INTRODUCTION
  • 5.10.2 KEY TARIFF RATES
  • 5.10.3 PRICE IMPACT ANALYSIS
  • 5.10.4 IMPACT ON COUNTRY/REGION
    • 5.10.4.1 North America
    • 5.10.4.2 Europe
    • 5.10.4.3 Asia Pacific
  • 5.10.5 IMPACT ON END-USE INDUSTRIES

6 REGULATORY LANDSCAPE

• 6.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 6.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 6.1.2 INDUSTRY STANDARDS

7 CONSUMER LANDSCAPE & BUYER BEHAVIOR

• 7.1 DECISION-MAKING PROCESS
• 7.2 BUYER STAKEHOLDERS AND BUYING EVALUATION CRITERIA
  • 7.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 7.2.2 BUYING CRITERIA
• 7.3 ADOPTION BARRIERS & INTERNAL CHALLENGES
• 7.4 UNMET NEEDS IN VARIOUS END-USE INDUSTRIES
  • 7.4.1 REVENUE POTENTIAL
  • 7.4.2 COST DYNAMICS
  • 7.4.3 MARGIN OPPORTUNITIES IN KEY APPLICATIONS

8 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS

• 8.1 TECHNOLOGY ANALYSIS
  • 8.1.1 KEY EMERGING TECHNOLOGIES
    • 8.1.1.1 AI and ML
    • 8.1.1.2 Big data analytics
    • 8.1.1.3 Predictive analytics
  • 8.1.2 COMPLEMENTARY TECHNOLOGIES
    • 8.1.2.1 Cloud computing
    • 8.1.2.2 Authentication
    • 8.1.2.3 Encryption
  • 8.1.3 ADJACENT TECHNOLOGIES
    • 8.1.3.1 Internet of Things (IoT)
    • 8.1.3.2 Blockchain
• 8.2 TECHNOLOGY ROADMAP
  • 8.2.1 SHORT-TERM (2026-2027) | FOUNDATION & EARLY PLATFORM EXPANSION
  • 8.2.2 MID-TERM (2027-2030) | SCALING, AUTOMATION & UNIFIED FINANCIAL CRIME MANAGEMENT
  • 8.2.3 LONG-TERM (2030-2035+) | AUTONOMOUS, ADAPTIVE & AI-DRIVEN FDP
• 8.3 PATENT ANALYSIS
• 8.4 FUTURE APPLICATIONS
  • 8.4.1 AI-DRIVEN FRAUD ANALYTICS AND PREDICTIVE RISK INTELLIGENCE
  • 8.4.2 BEHAVIORAL BIOMETRICS AND IDENTITY-CENTRIC FRAUD PREVENTION
  • 8.4.3 UNIFIED FINANCIAL CRIME MANAGEMENT PLATFORMS
  • 8.4.4 ADAPTIVE AUTHENTICATION AND REAL-TIME FRAUD PREVENTION
  • 8.4.5 PRIVACY-PRESERVING FRAUD INTELLIGENCE AND FEDERATED LEARNING
• 8.5 IMPACT OF AI/GEN AI ON FRAUD DETECTION AND PREVENTION (FDP) MARKET
  • 8.5.1 BEST PRACTICES IN FRAUD DETECTION AND PREVENTION (FDP) MARKET
  • 8.5.2 CASE STUDIES OF AI IMPLEMENTATION IN FRAUD DETECTION AND PREVENTION(FDP) MARKET
  • 8.5.3 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS
  • 8.5.4 CLIENTS' READINESS TO ADOPT GENERATIVE AI IN FRAUD DETECTION AND PREVENTION (FDP) MARKET
• 8.6 SUCCESS STORIES AND REAL-WORLD APPLICATIONS
  • 8.6.1 FEEDZAI: AI-DRIVEN PAYMENT FRAUD PREVENTION FOR GLOBAL FINANCIAL INSTITUTION
  • 8.6.2 BIOCATCH: BEHAVIORAL BIOMETRICS FOR IDENTITY FRAUD PREVENTION

9 FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE

• 9.1 INTRODUCTION
  • 9.1.1 FRAUD TYPE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 9.1.2 MNM STRATEGIC INSIGHTS OF FRAUD TYPES
• 9.2 CHECK FRAUD
  • 9.2.1 TECHNOLOGICAL ADVANCEMENTS AND EFFECTIVENESS OF SECURITY MEASURES TO INFLUENCE MARKET
• 9.3 IDENTITY FRAUD
  • 9.3.1 SPIKE IN IDENTITY FRAUD WITH INCREASE IN DIGITAL TRANSACTIONS
• 9.4 INSIDER FRAUD
  • 9.4.1 EFFECTIVE PREVENTION, DETECTION, AND RESPONSE MEASURES CRUCIAL FOR RISK MITIGATION
• 9.5 INVESTMENT FRAUD
  • 9.5.1 INCREASING ADOPTION OF BLOCKCHAIN AND CRYPTOCURRENCIES TO BOOST MARKET
• 9.6 PAYMENT FRAUD
  • 9.6.1 GROWING USE OF CREDIT AND DEBIT CARDS AND DIGITALIZATION OF MONETARY TRANSACTIONS TO ACCELERATE MARKET GROWTH
• 9.7 INSURANCE FRAUD
  • 9.7.1 GROWING DEMAND FOR ANALYTICS AND COMPLIANCE SOLUTIONS TO SAFEGUARD POLICYHOLDERS
• 9.8 FRIENDLY FRAUD
  • 9.8.1 IMPROVING CUSTOMER COMMUNICATION AND OPTIMIZING FRAUD DETECTION SYSTEMS TO PROPEL MARKET GROWTH
• 9.9 OTHER FRAUD TYPES

10 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING

• 10.1 INTRODUCTION
  • 10.1.1 OFFERING: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 10.1.2 MNM STRATEGIC INSIGHTS OF OFFERING
• 10.2 SOLUTIONS
  • 10.2.1 SURGE IN REVENUE LOSS TO DRIVE DEMAND FOR FDP SOLUTIONS
  • 10.2.2 SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 10.2.3 FRAUD ANALYTICS
    • 10.2.3.1 Involves set of analytical techniques that analyze enterprises' systems and databases to identify vulnerabilities
    • 10.2.3.2 Predictive analytics
    • 10.2.3.3 Descriptive analytics
    • 10.2.3.4 Prescriptive analytics
    • 10.2.3.5 Social network analysis
    • 10.2.3.6 Text analytics
    • 10.2.3.7 Behavioral analytics
  • 10.2.4 AUTHENTICATION
    • 10.2.4.1 Helps block unauthorized access and identify false user input
    • 10.2.4.2 Single-factor authentication
    • 10.2.4.3 Multi-factor authentication
    • 10.2.4.4 Risk-based authentication
  • 10.2.5 GOVERNANCE, RISK, AND COMPLIANCE
    • 10.2.5.1 Detects identity fraud, payment fraud, and anti-money laundering scams
• 10.3 SERVICES
  • 10.3.1 SERVICES: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 10.3.2 PROFESSIONAL SERVICES
    • 10.3.2.1 Surging demand for identification, prevention, and mitigation of fraud risks
    • 10.3.2.2 Risk assessment
    • 10.3.2.3 Consulting services
    • 10.3.2.4 Training and education
    • 10.3.2.5 Implementation
  • 10.3.3 MANAGED SERVICES
    • 10.3.3.1 Help organizations focus on core operations while leveraging expertise of service providers

11 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE

• 11.1 INTRODUCTION
  • 11.1.1 DEPLOYMENT MODE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 11.1.2 MNM STRATEGIC INSIGHTS OF DEPLOYMENT MODE
• 11.2 ON-PREMISES
  • 11.2.1 COMPLETE CONTROL OVER PLATFORMS, SYSTEMS, AND DATA TO BOOST DEMAND FOR ON-PREMISES SOLUTIONS
• 11.3 CLOUD
  • 11.3.1 COST-EFFECTIVENESS AND EASE OF SECURING APPLICATIONS ON CLOUD TO BOOST MARKET
• 11.4 HYBRID
  • 11.4.1 ENABLES ORGANIZATIONS TO MODERNIZE THEIR FRAUD PREVENTION CAPABILITIES WITHOUT REPLACING EXISTING SYSTEMS

12 FRAUD DETECTION AND PREVENTION MARKET, BY FUNCTIONALITY

• 12.1 INTRODUCTION
  • 12.1.1 FUNCTIONALITY: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 12.1.2 MNM STRATEGIC INSIGHTS OF FUNCTIONALITY
• 12.2 REAL-TIME DETECTION
  • 12.2.1 RISING NEED FOR IDENTIFICATION AND PREVENTION OF FRAUDULENT TRANSACTIONS IN NEAR REAL-TIME TO FOSTER MARKET GROWTH
• 12.3 FRAUD INVESTIGATION & CASE MANAGEMENT
  • 12.3.1 ENABLING ORGANIZATIONS TO ACCELERATE FRAUD RESPONSE AND RESOLUTION

13 FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE

• 13.1 INTRODUCTION
  • 13.1.1 ORGANIZATION SIZE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 13.1.2 MNM STRATEGIC INSIGHTS OF ORGANIZATIONS
• 13.2 LARGE ENTERPRISES
  • 13.2.1 SURGING DEMAND FOR EFFECTIVE MANAGEMENT OF BUSINESS APPLICATIONS TO BOOST MARKET
• 13.3 SMALL & MEDIUM-SIZED ENTERPRISES (SMES)
  • 13.3.1 RISING NEED TO PROTECT APPLICATIONS FROM VULNERABILITIES AND ATTACKS TO DRIVE MARKET

14 FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL

• 14.1 INTRODUCTION
  • 14.1.1 VERTICAL: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 14.1.2 MNM STRATEGIC INSIGHTS OF VERTICALS
• 14.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
  • 14.2.1 RAPID DIGITALIZATION OF BANKING AND FINANCIAL SERVICES TO BOOST MARKET GROWTH
  • 14.2.2 BANKING
    • 14.2.2.1 Account Opening (Digital Customer Onboarding - KYC/eKYC)
    • 14.2.2.2 Account Access and Re-authentication
    • 14.2.2.3 High-value Transaction Authorization
    • 14.2.2.4 Account Takeover Detection and Prevention
    • 14.2.2.5 Customer, Employee, and Agent Identity Verification
  • 14.2.3 FINANCIAL SERVICES
    • 14.2.3.1 Payment & Remittance
    • 14.2.3.2 Lending & Credit Management
    • 14.2.3.3 Crypto & Digital Asset Exchange
    • 14.2.3.4 Investment, Wealth Management & Brokerage
    • 14.2.3.5 Others (Credit Rating Agencies, Financial Advisory & Consulting, Treasury & Cash Management)
  • 14.2.4 INSURANCE
• 14.3 RETAIL & ECOMMERCE
  • 14.3.1 INCREASING MONETARY TRANSACTIONS THROUGH DIGITAL CHANNELS TO BOOST MARKET
• 14.4 GOVERNMENT
  • 14.4.1 DEPLOYMENT OF DIGITAL APPLICATIONS HANDLING CRITICAL DATA BY GOVERNMENT INSTITUTES TO DRIVE MARKET
• 14.5 HEALTHCARE
  • 14.5.1 NEED TO SECURE PRIVATE AND HIGHLY CONFIDENTIAL HEALTHCARE DATA AND PRESERVE TRUST AMONG PATIENTS TO PROPEL MARKET
• 14.6 MANUFACTURING
  • 14.6.1 INCREASING INVESTMENTS IN FDP SOLUTIONS TO DRIVE MARKET
• 14.7 TRAVEL & TRANSPORTATION
  • 14.7.1 SURGE TO PREVENT FRAUDSTERS FROM TARGETING LOYALTY ACCOUNTS TO BOOST MARKET
• 14.8 REAL ESTATE
  • 14.8.1 GROWING PROPERTY FLIPPING FRAUD, MORTGAGE FRAUD, FORECLOSURE FRAUD, AND RENTAL FRAUD TO DRIVE MARKET
• 14.9 TELECOMMUNICATIONS
  • 14.9.1 INCREASING DEMAND FOR MITIGATION OF FRAUDULENT ACTIVITIES AND PROTECTION OF CUSTOMER INTERESTS TO FOSTER MARKET GROWTH
• 14.10 OTHER VERTICALS

15 FRAUD DETECTION AND PREVENTION MARKET, BY REGION

• 15.1 INTRODUCTION
• 15.2 NORTH AMERICA
  • 15.2.1 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 15.2.2 NORTH AMERICA: MNM STRATEGIC INSIGHTS
  • 15.2.3 NORTH AMERICA: REGULATORY LANDSCAPE
  • 15.2.4 US
    • 15.2.4.1 Increased technological advancements, regulatory norms, and evolving fraud types to drive market
  • 15.2.5 CANADA
    • 15.2.5.1 Rise in fraudulent activities and increased threat of deepfakes to propel market
• 15.3 EUROPE
  • 15.3.1 EUROPE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 15.3.2 EUROPE: MNM STRATEGIC INSIGHTS
  • 15.3.3 EUROPE: REGULATORY LANDSCAPE
  • 15.3.4 UK
    • 15.3.4.1 Increased government initiatives to combat fraud to boost market
  • 15.3.5 GERMANY
    • 15.3.5.1 Rising adoption of FDP solutions by banks and financial institutions to drive market
  • 15.3.6 FRANCE
    • 15.3.6.1 Implementation of stringent regulations to fuel market growth
  • 15.3.7 SPAIN
    • 15.3.7.1 Increased government initiatives and strict regulations to boost market growth
  • 15.3.8 ITALY
    • 15.3.8.1 Continued investment in technology and awareness regarding cybersecurity to propel market growth
  • 15.3.9 POLAND
    • 15.3.9.1 Government initiatives to combat fraud and investments in advanced technology to bolster market growth
  • 15.3.10 IRELAND
    • 15.3.10.1 Advancements in technologies and innovations in fraud prevention solutions to boost market
  • 15.3.11 CZECH REPUBLIC
    • 15.3.11.1 Spike in fraud, embezzlement, and money laundering in finance, insurance, and real estate sectors to drive market
  • 15.3.12 REST OF EUROPE
• 15.4 ASIA PACIFIC
  • 15.4.1 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 15.4.2 ASIA PACIFIC: MNM STRATEGIC INSIGHTS
  • 15.4.3 ASIA PACIFIC: REGULATORY LANDSCAPE
  • 15.4.4 CHINA
    • 15.4.4.1 Growing threat of online scammers and rising internet fraud to boost market
  • 15.4.5 JAPAN
    • 15.4.5.1 Implementation of robust internal controls for prevention of fraud incidents to boost market
  • 15.4.6 AUSTRALIA & NEW ZEALAND
    • 15.4.6.1 Regulatory requirements aimed at improving data security and customer privacy to fuel market growth
  • 15.4.7 INDIA
    • 15.4.7.1 Increased internet penetration, improved telecom services, and government initiatives to drive market
  • 15.4.8 SINGAPORE
    • 15.4.8.1 Growing emphasis on cybersecurity measures to bolster market growth
  • 15.4.9 REST OF ASIA PACIFIC
• 15.5 MIDDLE EAST & AFRICA
  • 15.5.1 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 15.5.2 MIDDLE EAST & AFRICA: MNM STRATEGIC INSIGHTS
  • 15.5.3 GCC
    • 15.5.3.1 UAE
      • 15.5.3.1.1 Increased government initiatives with increasing prevalence of fraudulent activities to accelerate market growth
    • 15.5.3.2 KSA
      • 15.5.3.2.1 Increasing fraud awareness to boost market
    • 15.5.3.3 Rest of GCC countries
  • 15.5.4 SOUTH AFRICA
    • 15.5.4.1 Rise in mobile and internet penetration and rapid digitalization to accelerate market growth
  • 15.5.5 REST OF MIDDLE EAST & AFRICA
• 15.6 LATIN AMERICA
  • 15.6.1 LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
  • 15.6.2 LATIN AMERICA: MNM STRATEGIC INSIGHTS
  • 15.6.3 BRAZIL
    • 15.6.3.1 Increased digitalization and adoption of digital payments to drive market
  • 15.6.4 MEXICO
    • 15.6.4.1 Increased requirement to protect sensitive information to drive adoption of FDP solutions
  • 15.6.5 COLOMBIA
    • 15.6.5.1 Increasing financial crimes and rapid investments in advanced technologies to drive market
  • 15.6.6 REST OF LATIN AMERICA

16 COMPETITIVE LANDSCAPE

• 16.1 INTRODUCTION
• 16.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2024-2026
• 16.3 REVENUE ANALYSIS, 2021-2025
• 16.4 MARKET SHARE ANALYSIS, 2025
• 16.5 BRAND COMPARISON
• 16.6 COMPANY VALUATION AND FINANCIAL METRICS, 2025
  • 16.6.1 COMPANY VALUATION
  • 16.6.2 FINANCIAL METRICS USING EV/EBIDTA, 2025
• 16.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
  • 16.7.1 STARS
  • 16.7.2 EMERGING LEADERS
  • 16.7.3 PERVASIVE PLAYERS
  • 16.7.4 PARTICIPANTS
  • 16.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025
    • 16.7.5.1 Company footprint
    • 16.7.5.2 Offering footprint
    • 16.7.5.3 Fraud type footprint
    • 16.7.5.4 Vertical footprint
    • 16.7.5.5 Region footprint
• 16.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 16.8.1 PROGRESSIVE COMPANIES
  • 16.8.2 RESPONSIVE COMPANIES
  • 16.8.3 DYNAMIC COMPANIES
  • 16.8.4 STARTING BLOCKS
  • 16.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025
    • 16.8.5.1 Detailed list of key startups/SMEs
    • 16.8.5.2 Competitive benchmarking of key startups/SMEs
    • 16.8.5.3 Competitive benchmarking of key startups/SMEs
• 16.9 COMPETITIVE SCENARIO AND TRENDS
  • 16.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 16.9.2 DEALS

17 COMPANY PROFILES

• 17.1 KEY PLAYERS
  • 17.1.1 LEXISNEXIS RISK SOLUTIONS
    • 17.1.1.1 Business overview
    • 17.1.1.2 Products/Solutions/Services offered
    • 17.1.1.3 Recent developments
      • 17.1.1.3.1 Deals
    • 17.1.1.4 MnM view
      • 17.1.1.4.1 Right to win
      • 17.1.1.4.2 Strategic choices
      • 17.1.1.4.3 Weaknesses and competitive threats
  • 17.1.2 TRANSUNION
    • 17.1.2.1 Business overview
    • 17.1.2.2 Products/Solutions/Services offered
    • 17.1.2.3 Recent developments
      • 17.1.2.3.1 Product launches
      • 17.1.2.3.2 Deals
    • 17.1.2.4 MnM view
      • 17.1.2.4.1 Right to win
      • 17.1.2.4.2 Strategic choices
      • 17.1.2.4.3 Weaknesses and competitive threats
  • 17.1.3 FIS GLOBAL
    • 17.1.3.1 Business overview
    • 17.1.3.2 Products/Solutions/Services offered
    • 17.1.3.3 Recent developments
      • 17.1.3.3.1 Product launches
      • 17.1.3.3.2 Deals
    • 17.1.3.4 MnM view
      • 17.1.3.4.1 Right to win
      • 17.1.3.4.2 Strategic choices
      • 17.1.3.4.3 Weaknesses and competitive threats
  • 17.1.4 FISERV
    • 17.1.4.1 Business overview
    • 17.1.4.2 Products/Solutions/Services offered
    • 17.1.4.3 Recent developments
      • 17.1.4.3.1 Deals
    • 17.1.4.4 MnM view
      • 17.1.4.4.1 Right to win
      • 17.1.4.4.2 Strategic choices
      • 17.1.4.4.3 Weaknesses and competitive threats
  • 17.1.5 SAS INSTITUTE
    • 17.1.5.1 Business overview
    • 17.1.5.2 Products/Solutions/Services offered
    • 17.1.5.3 Recent developments
      • 17.1.5.3.1 Deals
    • 17.1.5.4 MnM view
      • 17.1.5.4.1 Right to win
      • 17.1.5.4.2 Strategic choices
      • 17.1.5.4.3 Weaknesses and competitive threats
  • 17.1.6 NICE ACTIMIZE
    • 17.1.6.1 Business overview
    • 17.1.6.2 Products/Solutions/Services offered
    • 17.1.6.3 Recent developments
      • 17.1.6.3.1 Product launches and enhancements
  • 17.1.7 EXPERIAN
    • 17.1.7.1 Business overview
    • 17.1.7.2 Products/Solutions/Services offered
    • 17.1.7.3 Recent developments
      • 17.1.7.3.1 Product launches
      • 17.1.7.3.2 Deals
  • 17.1.8 IBM
    • 17.1.8.1 Business overview
    • 17.1.8.2 Products/Solutions/Services offered
    • 17.1.8.3 Recent developments
      • 17.1.8.3.1 Product launches and enhancements
  • 17.1.9 ACI WORLDWIDE
    • 17.1.9.1 Business overview
    • 17.1.9.2 Products/Solutions/Services offered
    • 17.1.9.3 Recent developments
      • 17.1.9.3.1 Deals
  • 17.1.10 RSA SECURITY (OUTSEER)
    • 17.1.10.1 Business overview
    • 17.1.10.2 Products/Solutions/Services offered
  • 17.1.11 SAP
    • 17.1.11.1 Business overview
    • 17.1.11.2 Products/Solutions/Services offered
  • 17.1.12 FICO
    • 17.1.12.1 Business overview
    • 17.1.12.2 Products/Solutions/Services offered
    • 17.1.12.3 Recent developments
      • 17.1.12.3.1 Product launches and enhancements
      • 17.1.12.3.2 Deals
  • 17.1.13 MICROSOFT
    • 17.1.13.1 Business overview
    • 17.1.13.2 Products/Solutions/Services offered
    • 17.1.13.3 Recent developments
      • 17.1.13.3.1 Deals
  • 17.1.14 F5
    • 17.1.14.1 Business overview
    • 17.1.14.2 Products/Solutions/Services offered
  • 17.1.15 AWS
    • 17.1.15.1 Business overview
    • 17.1.15.2 Products/Solutions/Services offered
    • 17.1.15.3 Recent developments
      • 17.1.15.3.1 Deals
  • 17.1.16 BOTTOMLINE TECHNOLOGIES
    • 17.1.16.1 Business overview
    • 17.1.16.2 Products/Solutions/Services offered
    • 17.1.16.3 Recent developments
      • 17.1.16.3.1 Product launches
      • 17.1.16.3.2 Deals
  • 17.1.17 GENPACT
    • 17.1.17.1 Business overview
    • 17.1.17.2 Products/Solutions/Services offered
  • 17.1.18 SECURONIX
    • 17.1.18.1 Business overview
    • 17.1.18.2 Products/Solutions/Services offered
  • 17.1.19 ACCERTIFY
    • 17.1.19.1 Business overview
    • 17.1.19.2 Products/Solutions/Services offered
    • 17.1.19.3 Recent developments
      • 17.1.19.3.1 Deals
  • 17.1.20 FEEDZAI
    • 17.1.20.1 Business overview
    • 17.1.20.2 Products/Solutions/Services offered
    • 17.1.20.3 Recent developments
      • 17.1.20.3.1 Deals
  • 17.1.21 CASEWARE
    • 17.1.21.1 Business overview
    • 17.1.21.2 Products/Solutions/Services offered
  • 17.1.22 ONESPAN
    • 17.1.22.1 Business overview
    • 17.1.22.2 Products/Solutions/Services offered
    • 17.1.22.3 Recent developments
      • 17.1.22.3.1 Product launches and enhancements
      • 17.1.22.3.2 Deals
  • 17.1.23 JUICYSCORE
    • 17.1.23.1 Business Overview
    • 17.1.23.2 Products/Solutions/Services offered
    • 17.1.23.3 Recent developments
      • 17.1.23.3.1 Product launches
  • 17.1.24 SIGNIFYD
    • 17.1.24.1 Business overview
    • 17.1.24.2 Products/Solutions/Services offered
    • 17.1.24.3 Recent developments
      • 17.1.24.3.1 Product launches
      • 17.1.24.3.2 Deals
  • 17.1.25 BIOCATCH
    • 17.1.25.1 Business overview
    • 17.1.25.2 Products/Solutions/Services offered
    • 17.1.25.3 Recent developments
      • 17.1.25.3.1 Product launches/enhancements
    • 17.1.25.4 Deals
  • 17.1.26 FRISS
    • 17.1.26.1 Business overview
    • 17.1.26.2 Products/Solutions/Services offered
    • 17.1.26.3 Recent developments
      • 17.1.26.3.1 Deals
  • 17.1.27 MAXMIND
    • 17.1.27.1 Business overview
    • 17.1.27.2 Products/Solutions/Services offered
  • 17.1.28 DATAVISOR
    • 17.1.28.1 Business overview
    • 17.1.28.2 Products/Solutions/Services offered
    • 17.1.28.3 Recent developments
      • 17.1.28.3.1 Deals
  • 17.1.29 CLEAFY
    • 17.1.29.1 Business overview
    • 17.1.29.2 Products/Solutions/Services offered
    • 17.1.29.3 Recent developments
      • 17.1.29.3.1 Product launches and enhancements
      • 17.1.29.3.2 Deals
  • 17.1.30 GURUCUL
    • 17.1.30.1 Business overview
    • 17.1.30.2 Products/Solutions/Services offered
  • 17.1.31 RISKIFIED
    • 17.1.31.1 Business overview
    • 17.1.31.2 Products/Solutions/Services offered
    • 17.1.31.3 Recent developments
      • 17.1.31.3.1 Product launches
      • 17.1.31.3.2 Deals
  • 17.1.32 THOMSON REUTERS
    • 17.1.32.1 Business overview
    • 17.1.32.2 Products/Solutions/Services offered
    • 17.1.32.3 Recent developments
      • 17.1.32.3.1 Product launches
  • 17.1.33 SIFT
    • 17.1.33.1 Business overview
    • 17.1.33.2 Products/Solutions/Services offered
    • 17.1.33.3 Recent developments
      • 17.1.33.3.1 Deals
  • 17.1.34 WYLLO (NOFRAUD)
    • 17.1.34.1 Business overview
    • 17.1.34.2 Products/Solutions/Services offered
  • 17.1.35 FEATURESPACE
    • 17.1.35.1 Business overview
    • 17.1.35.2 Products/Solutions/Services offered
  • 17.1.36 XTN COGNITIVE SECURITY
    • 17.1.36.1 Business overview
    • 17.1.36.2 Products/Solutions/Services offered
  • 17.1.37 EQUIFAX
    • 17.1.37.1 Business overview
    • 17.1.37.2 Products/Solutions/Services offered
    • 17.1.37.3 Recent developments
      • 17.1.37.3.1 Product launches
      • 17.1.37.3.2 Deals
  • 17.1.38 ALFA GROUP
    • 17.1.38.1 Business overview
    • 17.1.38.2 Products/Solutions/Services offered
  • 17.1.39 PING IDENTITY
    • 17.1.39.1 Business Overview
    • 17.1.39.2 Products/Solutions/Services offered
    • 17.1.39.3 Recent developments
      • 17.1.39.3.1 Deals
  • 17.1.40 GFT TECHNOLOGIES
    • 17.1.40.1 Business overview
    • 17.1.40.2 Products/Solutions/Services offered
    • 17.1.40.3 Recent developments
      • 17.1.40.3.1 Deals
  • 17.1.41 GBG
    • 17.1.41.1 Business Overview
    • 17.1.41.2 Products/Solutions/Services offered
    • 17.1.41.3 Recent developments
      • 17.1.41.3.1 Product launches
      • 17.1.41.3.2 Deals
  • 17.1.42 KROLL
    • 17.1.42.1 Business Overview
    • 17.1.42.2 Products/Solutions/Services offered
    • 17.1.42.3 Recent developments
      • 17.1.42.3.1 Product launches
• 17.2 OTHER KEY PLAYERS
  • 17.2.1 ALLOY
  • 17.2.2 CASTLE
  • 17.2.3 ENZOIC
  • 17.2.4 SPYCLOUD
  • 17.2.5 SEON
  • 17.2.6 DEDUCE (CHEQ)
  • 17.2.7 INCOGNIA
  • 17.2.8 RESISTANT AI
  • 17.2.9 AMANI
  • 17.2.10 FUGU
  • 17.2.11 PIPL
  • 17.2.12 AGNOVI CORPORATION
  • 17.2.13 CLARI5
  • 17.2.14 THREATMARK

18 RESEARCH METHODOLOGY

• 18.1 RESEARCH DATA
  • 18.1.1 SECONDARY DATA
  • 18.1.2 PRIMARY DATA
    • 18.1.2.1 Breakup of primary profiles
    • 18.1.2.2 Key industry insights
• 18.2 DATA TRIANGULATION
• 18.3 MARKET SIZE ESTIMATION
  • 18.3.1 TOP-DOWN APPROACH
  • 18.3.2 BOTTOM-UP APPROACH
• 18.4 MARKET FORECAST
• 18.5 RESEARCH ASSUMPTIONS
• 18.6 RESEARCH LIMITATIONS

19 APPENDIX

• 19.1 DISCUSSION GUIDE
• 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 19.3 CUSTOMIZATION OPTIONS
• 19.4 RELATED REPORTS
• 19.5 AUTHOR DETAILS