Fraud Detection and Prevention (FDP) Market by Fraud Type (Identity, Payment, Insider, Investment), Offering (Solutions (Fraud Analytics, Authentication, and GRC) and Services), Vertical (BFSI, Healthcare, Retail), and Region - Global Forecast to 2031

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USD 80.01 BN
MARKET SIZE, 2031
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CAGR 17.5%
(2026-2031)
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500
REPORT PAGES
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350
MARKET TABLES

OVERVIEW

fraud-detection-prevention-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The fraud detection and prevention market is projected to reach USD 80.01 billion by 2031 from USD 35.71 billion in 2026, at a CAGR of 17.5%. The surge in fraudulent activity and rising revenue losses from fraud and chargebacks are driving organizations to invest in advanced fraud detection and prevention solutions. Instances of insider fraud, payment fraud, account takeover, and identity fraud are exposing weaknesses in traditional security controls and creating significant financial and reputational risks. To minimize the impact of these frauds, businesses are adopting AI-driven fraud analytics, real-time transaction monitoring, behavioral analytics, and adaptive authentication. Advanced FDP solutions are helping organizations reduce fraud losses, minimize chargebacks, improve customer trust, and strengthen operational resilience across digital transactions and financial ecosystems.

Market Size and Forecast:

  • Market Size Value in 2025: USD 32.00 billion
  • Market Size Value in 2026: USD 35.71 billion
  • Revenue Forecast in 2031: USD 80.01 billion
  • Growth Rate: CAGR of 17.5% from 2026 to 2031
  • Data available from 2020 to 2031
  • Base year: 2025
  • Forecast period: 2026-2031
  • Fastest Growing Region: Asia Pacific
  • Solutions segment to dominate the market at a CAGR of 15.4% during the forecast period.

Key Market Trends and Insights

  • Growth Driver: Rising AI adoption, increasing digital transactions, and growing cyber fraud are driving demand for advanced fraud detection and prevention solutions.
  • Key Trends: AI-powered fraud analytics, behavioral biometrics, cloud-based deployment, and real-time transaction monitoring are accelerating market growth.
  • Opportunities: Expanding digital payments, cloud adoption, and stricter regulatory compliance create significant growth opportunities.
  • AI Impact: AI enables predictive analytics, anomaly detection, behavioral analysis, and automated risk scoring to improve fraud detection accuracy and response times.

KEY TAKEAWAYS

  • BY REGION
    North America is expected to account for the largest share of 35% of the FDP market in 2026.
  • BY OFFERING
    By offering, the solutions segment is expected to dominate the market in terms of market share in 2026.
  • BY FRAUD TYPE
    By fraud type, the insider fraud segment will be register the highest growth during the forecast period.
  • BY DEPLOYMENT MODE
    By deployment mode, the cloud segment is expected to register the highest CAGR of 16% during the forecast period.
  • BY FUNCTIONALITY
    By functionality, real-time detection will be the fastest-growing segment from 2026 to 2031.
  • BY ORGANIZATION SIZE
    By organization size, the large enterprises segment is expected to hold the largest market share in 2026.
  • BY VERTICAL
    By vertical, the healthcare segment is likely to record the highest CAGR of 17% during the forecast period.
  • COMPETITIVE LANDSCAPE - KEY PLAYERS
    FIS Global, NICE Actimize, Experian, and FICO are leading players in the fraud detection and prevention market, offering AI-driven platforms that combine fraud analytics, real-time transaction monitoring, identity intelligence, risk scoring, authentication, and case management to help organizations detect, prevent, and investigate fraud across banking, payments, lending, and digital channels.
  • COMPETITIVE LANDSCAPE - STARTUPS/SMEs
    SEON, Incognia, Alfa Group, and JuicyScore are emerging innovators providing AI powered fraud prevention solutions focused on device intelligence, behavioral analytics, digital identity verification, and risk based decisioning, enabling organizations to detect account takeover, synthetic identity, and payment fraud while reducing false positives and improving customer onboarding.

Organizations in banking, insurance, retail, healthcare, and government are enhancing fraud prevention strategies to protect digital transactions and customer identities. The growing use of AI, machine learning, and risk-based authentication enables faster detection of suspicious activity, reduces false positives, and improves the efficiency of fraud investigations. These capabilities help organizations protect revenue, ensure regulatory compliance, and deliver secure digital experiences while adapting to rapidly evolving fraud techniques.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The fraud detection and prevention industry is evolving from traditional rule-based fraud monitoring to intelligent, AI-driven platforms that combine fraud analytics, behavioral intelligence, authentication, and real-time decisioning. This figure illustrates how the revenue mix is shifting toward advanced fraud analytics, adaptive authentication, and identity intelligence solutions driven by increasing digital fraud and evolving regulatory requirements. It also highlights how the specific fraud-prevention needs of the BFSI, government, and healthcare sectors are accelerating technology adoption and delivering improved security, compliance, and customer trust.

fraud-detection-prevention-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Surge in synthetic identities and fraudulent activities
  • Increased revenue losses and chargebacks due to fraud
RESTRAINTS
Impact
Level
  • False positives with highly sensitive fraud detection systems
  • Rise in online fraud complexity
OPPORTUNITIES
Impact
Level
  • Rising use of predictive analytics in fraud detection and prevention
  • Growing use of fraud detection tools by card issuers and payment processors to prevent payment fraud
CHALLENGES
Impact
Level
  • Multifaceted cross-channel fraud
  • Lack of trained professionals to analyze fraud attacks

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Surge in synthetic identities and fraudulent activities

The rapid growth of synthetic identities, AI-enabled scams, and increasingly sophisticated fraud attacks is driving demand for advanced fraud detection and prevention (FDP) platforms. According to LexisNexis Risk Solutions, in April 2026, its Cybercrime Report, based on analysis of more than 116 billion online transactions, identified synthetic identity fraud, bot-driven attacks, and account takeover as major contributors to rising global fraud activity.

Restraint: False positives with highly sensitive fraud detection systems

While organizations are deploying increasingly sensitive fraud detection models, excessive false positives continue to disrupt legitimate customer transactions and increase operational workloads. High false-positive rates create customer friction, require additional manual reviews, and can erode trust in digital services, making it difficult for organizations to balance fraud prevention with user experience. According to Experian, in March 2025, over half of UK businesses planned to build new AI models specifically to improve customer decisioning and reduce false positives in fraud detection.

Opportunity: Rising use of predictive analytics in fraud detection and prevention

The growing adoption of predictive analytics presents significant opportunities for FDP vendors to improve risk assessment and automate fraud decisions. AI and machine learning models can identify emerging fraud patterns, adapt to evolving attack techniques, and strengthen real-time transaction monitoring across digital channels. According to Experian's 2025 US Identity & Fraud Report, released in July 2025, more than one-third of businesses already use AI, including generative AI, to combat fraud, reflecting the growing adoption of predictive analytics.

Challenge: Multifaceted cross channel fraud

The growing complexity of cross channel fraud is challenging organizations to detect coordinated attacks spanning digital banking, payments, mobile applications, eCommerce, and customer onboarding. Fraudsters increasingly exploit multiple identities, devices, and channels within a single attack, making siloed detection systems less effective. According to Feedzai, in June 2026, the company launched Feedzai IQ Score, which leverages intelligence derived from over USD 9 trillion in payments risk assessed annually to help financial institutions identify fraud patterns across institutions and channels in real time.

FRAUD DETECTION AND PREVENTION (FDP) MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Cross River Bank implemented Alloy's identity decisioning platform to automate customer onboarding, unify identity verification, fraud detection, and compliance checks, enabling faster account opening while managing fraud risk across digital banking channels. Faster digital customer onboarding | Improved fraud detection and identity verification | Reduced manual reviews and operational costs | Enhanced AML/KYC compliance
UNA Financial deployed JuicyScore's JuicyID solution to strengthen digital identity verification and fraud detection by leveraging device intelligence and behavioral analytics to assess customer risk during loan origination. Reduced operational risks from fraudulent applications | Improved identity verification accuracy | Faster lending decisions | Lower fraud losses while maintaining customer experience
Bank Mandiri implemented FICO Falcon Fraud Manager to strengthen payment card fraud detection using AI driven analytics, real time transaction monitoring, and adaptive fraud models across its card portfolio. Improved fraud detection accuracy | Reduced card fraud losses | Faster real time fraud identification | Enhanced customer experience with fewer false positives
Dime Community Bank collaborated with Fiserv to enhance its Card Expert platform, improving card fraud management capabilities through advanced monitoring, analytics, and operational enhancements that support proactive fraud prevention. Enhanced card fraud monitoring and prevention | Improved fraud investigation efficiency | Better operational visibility into fraud events | Strengthened customer protection and payment security

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The fraud detection and prevention market ecosystem comprises solution providers and service providers that collaborate to help organizations detect, prevent, investigate, and respond to evolving fraud threats. Solution providers deliver technologies such as fraud analytics, identity fraud management, risk based authentication, and governance, risk, and compliance (eGRC), while service providers offer consulting, implementation, managed services, and risk assessment. Together, these stakeholders enable organizations across banking, financial services, healthcare, retail, government, and other industries to strengthen fraud resilience, improve regulatory compliance, and secure digital customer interactions.

fraud-detection-prevention-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

fraud-detection-prevention-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Fraud Detection and Prevention Market, by Solution

Fraud analytics is the largest solution segment as organizations increasingly rely on AI, machine learning, and behavioral intelligence to detect sophisticated fraud patterns across digital channels. These capabilities enable real-time risk scoring, anomaly detection, and faster fraud investigations while reducing manual effort. According to Experian's 2025 US Identity & Fraud Report published in July 2025, nearly 60% of businesses reported rising fraud losses, while over one-third are already using AI, including generative AI, to combat fraud, accelerating investments in fraud analytics platforms.

Fraud Detection and Prevention Market, by Fraud Type

Identity fraud accounts for the largest share as digital banking, remote onboarding, and online transactions continue to expand the attack surface for fraudsters. Organizations are investing in identity intelligence, behavioral analytics, and adaptive authentication to counter synthetic identities and account takeover. According to the LexisNexis Risk Solutions Cybercrime Report, published in March 2026, analysis of more than 116 billion online transactions during 2025 identified synthetic identities, bot-driven attacks, and account takeover as key drivers of rising global fraud activity.

Fraud Detection and Prevention Market, by Functionality

Real-time detection is the largest functionality segment because organizations must identify suspicious activities before fraudulent transactions are completed. Continuous monitoring and AI-driven decisioning help minimize financial losses and improve operational efficiency across digital channels. According to Experian's 2025 U.S. Identity & Fraud Report, released in July 2025, 72% of business leaders expect AI-generated fraud and deepfakes to become major challenges by 2026, increasing demand for real-time fraud detection capabilities.

Fraud Detection and Prevention Market, by Deployment Mode

On-premises deployment remains the largest segment as banks, financial institutions, and government organizations require complete control over sensitive customer data, fraud models, and regulatory compliance. These organizations continue to prioritize internal infrastructure for mission-critical fraud prevention systems. According to Experian's fraud study published in February 2026, 68% of organizations stated that their existing fraud technologies could not keep pace with increasingly sophisticated attacks, prompting many highly regulated enterprises to modernize secure internal fraud environments.

Fraud Detection and Prevention Market, by Organization Size

Large enterprises dominate the market due to their extensive digital operations, high transaction volumes, and exposure to complex fraud schemes across multiple business units. They require enterprise-scale fraud analytics and centralized risk management platforms. According to Experian's 2025 US Identity & Fraud Report, published in July 2025, 70% of businesses reported increasing their fraud prevention budgets as fraud losses continued to rise, reflecting strong investment from large enterprises in advanced fraud prevention technologies.

Fraud Detection and Prevention Market, by Vertical

BFSI represents the largest vertical because financial institutions are primary targets for payment fraud, identity theft, account takeover, and first-party fraud. Banks continue to invest in AI-driven fraud detection, identity verification, and transaction monitoring to strengthen security and regulatory compliance. According to the LexisNexis Risk Solutions Cybercrime Report, published in May 2025, first-party fraud became the leading global fraud type, accounting for approximately one-third of reported fraud cases across financial services, ecommerce, and related sectors.

REGION

Asia Pacific to be the fastest-growing region in the global FDP market during the forecast period

Asia Pacific is the fastest-growing region in the fraud detection and prevention market due to rapid digital payment adoption, expanding fintech ecosystems, increasing mobile banking usage, and the rising sophistication of cyber fraud across emerging economies. Organizations are accelerating investments in AI-driven fraud analytics, identity verification, and real-time transaction monitoring to strengthen digital trust. According to the LexisNexis Risk Solutions APAC Cybercrime Report, published in 2026, digital transactions in Asia Pacific increased by 20% in 2025, while the regional fraud attack rate rose 12% year over year, highlighting the need for advanced fraud prevention solutions.

fraud-detection-prevention-market Region

FRAUD DETECTION AND PREVENTION (FDP) MARKET: COMPANY EVALUATION MATRIX

FIS Global (Key Player) is a leading provider in the fraud detection and prevention market, offering integrated fraud management, payment risk, and financial crime solutions that combine AI-driven fraud analytics, real-time transaction monitoring, authentication, and case management to protect digital payments and banking ecosystems. GBG (Emerging Player) is expanding its presence with AI-powered identity verification and fraud prevention solutions, enabling organizations to strengthen digital onboarding, identity intelligence, and risk-based decisioning while reducing identity fraud across customer journeys.

fraud-detection-prevention-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2025 (Value) USD 32.00 Billion
Market Forecast in 2026 (Value) USD 35.71 Billion
Market Forecast in 2031 (Value) USD 80.01 Billion
Growth Rate CAGR of 17.5% from 2026–2031
Years Considered 2020–2031
Base Year 2025
Forecast Period 2026–2031
Units Considered Value (USD Billion)
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Segments Covered
  • By Offering:
    • Solutions
    • Services
  • By Fraud Type:
    • Check Fraud
    • Identity Fraud
    • Insider Fraud
    • Investment Fraud
    • Payment Fraud
    • Insurance Fraud
    • Friendly Fraud
    • Others
  • By Functionality:
    • Real-time Detection
    • Fraud Investigation & Case Management
  • By Deployment Mode:
    • On-premises
    • Cloud
    • Hybrid
  • By Organization Size:
    • Large Enterprises
    • SMEs
  • By Vertical:
    • BFSI
    • Healthcare
    • Government
    • Retail & E-commerce
    • Manufacturing
    • Travel & Transportation
    • Real Estate
    • Telecommunications
    • Other Verticals
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

WHAT IS IN IT FOR YOU: FRAUD DETECTION AND PREVENTION (FDP) MARKET REPORT CONTENT GUIDE

fraud-detection-prevention-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Solution Provider (EU) Comprehensive assessment of the fraud detection and prevention market in Italy, including analysis of fraud trends, regulatory landscape, competitive benchmarking of leading vendors, adoption across BFSI, retail & eCommerce, healthcare, government, and telecommunications, along with evaluation of fraud analytics, identity fraud management, authentication, and case management solutions. The study also covers deployment trends, technology adoption, ecosystem analysis, and key growth opportunities within the market in Italy. Provides a detailed understanding of Italy's evolving fraud prevention landscape, enabling stakeholders to identify high-growth application areas, evaluate vendor positioning, understand regulatory and digital payment trends, assess technology adoption, and support market entry, investment planning, partnership strategies, and product positioning within the Italian FDP ecosystem.

RECENT DEVELOPMENTS

  • April 2026 : Experian launched Transaction Forensics, an AI-powered fraud and anti-money laundering solution that combines transaction and behavioral analytics to help financial institutions detect and prevent sophisticated financial crime in real time.
  • December 2024 : Visa completed its acquisition of Featurespace to strengthen its AI-powered fraud detection and risk scoring portfolio, enhancing real-time payment fraud prevention and financial crime detection capabilities for financial institutions and payment providers worldwide.
  • May 2024 : Mangopay launched an AI-driven fraud prevention solution that provides real-time fraud detection, device fingerprinting, darknet intelligence, and risk analysis to help platforms prevent account takeover, payment fraud, chargebacks, and reseller fraud.

Table of Contents

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TITLE
PAGE NO
1
INTRODUCTION
 
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
 
4
MARKET OVERVIEW
Captures industry movement, adoption patterns, and strategic signals across key end-use segments and regions.
 
 
 
 
 
 
(IDENTIFY GROWTH OPPORTUNITIES AND STRATEGIC GAPS IN THE MARKET)
 
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
 
4.2.4
CHALLENGES
 
 
 
 
4.3
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
 
4.4
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
 
5
INDUSTRY TRENDS
Explains the evolving landscape through demand-side drivers, supply-side constraints, and opportunity hotspots.
 
 
 
 
 
 
(NAVIGATE INDUSTRY SHIFTS WITH STRATEGIC INSIGHTS FROM COMPETITIVE FORCES AND EVOLVING TRENDS)
 
 
 
 
 
 
5.1
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
 
 
5.1.1
BARGAINING POWER OF SUPPLIERS
 
 
 
 
 
5.1.2
THREAT OF NEW ENTRANTS
 
 
 
 
 
5.1.3
THREAT OF SUBSTITUTES
 
 
 
 
 
5.1.4
BARGAINING POWER OF BUYERS
 
 
 
 
 
5.1.5
INTENSITY OF COMPETITIVE RIVALRY
 
 
 
 
5.2
MACROECONOMIC OUTLOOK
 
 
 
 
 
 
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
 
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE TREND OF SOLUTION, BY KEY PLAYER, 2022–2025
 
 
 
 
 
5.5.2
INDICATIVE PRICING,
 
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2026–2027
 
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
 
5.8
INVESTMENT FUNDING SCENARIO
 
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
 
5.10
IMPACT OF 2025 US TARIFF: FRAUD DETECTION AND PREVENTION MARKET
 
 
 
 
 
 
 
5.10.1
INTRODUCTION
 
 
 
 
 
5.10.2
KEY TARIFF RATES
 
 
 
 
 
5.10.3
PRICE IMPACT ANALYSIS
 
 
 
 
 
5.10.4
IMPACT ON REGION
 
 
 
 
 
 
5.10.4.1
US
 
 
 
 
 
5.10.4.2
EUROPE
 
 
 
 
 
5.10.4.3
ASIA PACIFIC
 
 
 
 
5.10.5
IMPACT ON END-USE INDUSTRIES
 
 
 
 
5.11
IMPACT OF US-IRAN WAR ON FRAUD DETECTION AND PREVENTION MARKET
 
 
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
 
(HARNESS INNOVATIONS TO REVOLUTIONIZE TECHNOLOGIES AND SECURE FUTURE DIGITAL LANDSCAPES.)
 
 
 
 
 
 
6.1
KEY TECHNOLOGIES
 
 
 
 
 
 
6.1.1
AI & ML
 
 
 
 
 
6.1.2
BIG DATA ANALYTICS
 
 
 
 
 
6.1.3
PREDICTIVE ANALYTICS
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
 
 
6.2.1
CLOUD COMPUTING
 
 
 
 
 
6.2.2
AUTHENTICATION
 
 
 
 
 
6.2.3
ENCRYPTION
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
 
 
6.3.1
IOT
 
 
 
 
 
6.3.2
BLOCKCHAIN
 
 
 
 
6.4
TECHNOLOGY ROADMAP
 
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
 
 
6.5.1
LIST OF MAJOR PATENTS
 
 
 
 
6.6
FUTURE APPLICATIONS
 
 
 
 
 
6.7
IMPACT OF GEN AI ON FRAUD DETECTION AND PREVENTION MARKET
 
 
 
 
 
 
 
6.7.1
TOP USE CASES AND MARKET POTENTIAL
 
 
 
 
 
6.7.2
BEST PRACTICES FOLLOWED BY MANUFACTURERS/OEMS IN FRAUD DETECTION AND PREVENTION MARKET
 
 
 
 
 
6.7.3
CASE STUDIES RELATED TO AI IMPLEMENTATION IN FRAUD DETECTION AND PREVENTION MARKET
 
 
 
 
 
6.7.4
INTERCONNECTED ECOSYSTEM AND IMPACT ON MARKET PLAYERS
 
 
 
 
 
6.7.5
CLIENT READINESS TO ADOPT AI-GENERATED FRAUD DETECTION AND PREVENTION SOLUTIONS
 
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
 
(NAVIGATE COMPLEX GLOBAL REGULATIONS WITH A COMPREHENSIVE GUIDE TO REGIONAL COMPLIANCE AND INDUSTRY STANDARDS.)
 
 
 
 
 
 
7.1
REGIONAL REGULATIONS AND COMPLIANCE
 
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
 
8
CUSTOMER LANDSCAPE & BUYER BEHAVIOR
 
 
 
 
 
 
(UNCOVER HOW STAKEHOLDER DYNAMICS SHAPE PURCHASING DECISIONS AND REVEAL CRITICAL UNMET INDUSTRY NEEDS)
 
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
 
8.4
ADOPTION BARRIERS & INTERNAL CHALLENGES
 
 
 
 
 
8.5
UNMET NEEDS FROM VARIOUS END-USE INDUSTRIES
 
 
 
 
9
FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE (COMPARATIVE ASSESSMENT OF KEY FRAUD TYPES, THEIR MARKET POTENTIAL, AND DEMAND PATTERNS BY VARIOUS SUPPLIER COMPANIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
 
9.1.1
FRAUD TYPE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
 
 
 
 
9.2
CHECK FRAUD
 
 
 
 
 
9.3
IDENTITY FRAUD
 
 
 
 
 
9.4
INSIDER FRAUD
 
 
 
 
 
9.5
INVESTMENT FRAUD
 
 
 
 
 
9.6
PAYMENT FRAUD
 
 
 
 
 
9.7
INSURANCE FRAUD
 
 
 
 
 
9.8
FRIENDLY FRAUD
 
 
 
 
 
9.9
OTHERS (LOAN & CREDIT FRAUD, TELECOM FRAUD, AND HEALTHCARE FRAUD)
 
 
 
 
10
FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING (OFFERING-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING OF FDP ADOPTION IN DIVERSE INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
 
10.1.1
OFFERING: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
 
 
 
 
10.2
SOLUTION
 
 
 
 
 
 
10.2.1
FRAUD ANALYTICS
 
 
 
 
 
 
10.2.1.1
PREDICTIVE ANALYTICS
 
 
 
 
 
10.2.1.2
DESCRIPTIVE ANALYTICS
 
 
 
 
 
10.2.1.3
PRESCRIPTIVE ANALYTICS
 
 
 
 
 
10.2.1.4
SOCIAL NETWORK ANALYSIS
 
 
 
 
 
10.2.1.5
TEXT ANALYTICS
 
 
 
 
 
10.2.1.6
BEHAVIORAL ANALYTICS
 
 
 
 
10.2.2
AUTHENTICATION
 
 
 
 
 
 
10.2.2.1
SINGLE-FACTOR AUTHENTICATION (SFA)
 
 
 
 
 
10.2.2.2
MULTI-FACTOR AUTHENTICATION (MFA)
 
 
 
 
 
10.2.2.3
RISK-BASED AUTHENTICATION
 
 
 
 
10.2.3
GOVERNANCE, RISK, AND COMPLIANCE (GRC)
 
 
 
 
10.3
SERVICES
 
 
 
 
 
 
10.3.1
PROFESSIONAL SERVICES
 
 
 
 
 
 
10.3.1.1
RISK ASSESSMENT
 
 
 
 
 
10.3.1.2
CONSULTING
 
 
 
 
 
10.3.1.3
TRAINING AND EDUCATION
 
 
 
 
 
10.3.1.4
IMPLEMENTATION
 
 
 
 
10.3.2
MANAGED SERVICES
 
 
 
11
FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE (DEPLOYMENT MODE-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING OF FDP ADOPTION IN DIVERSE INDUSTRIES) (MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
 
 
11.1.1
DEPLOYMENT MODE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
 
 
 
 
11.2
ON-PREMISES
 
 
 
 
 
11.3
CLOUD
 
 
 
 
 
11.4
HYBRID
 
 
 
 
12
FRAUD DETECTION AND PREVENTION MARKET, BY FUNCTIONALITY (FUNCTIONALITY-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING OF FDP ADOPTION IN DIVERSE INDUSTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
 
 
12.1.1
FUNCTIONALITY: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
 
 
 
 
12.2
REAL-TIME DETECTION
 
 
 
 
 
12.3
FRAUD INVESTIGATION & CASE MANAGEMENT
 
 
 
 
13
FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE (ORGANIZATION SIZE-WISE DEMAND POTENTIAL AND GROWTH PATHWAYS SHAPING OF FDP ADOPTION IN DIVERSE INDUSTRIES) (MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
13.1
INTRODUCTION
 
 
 
 
 
 
13.1.1
ORGANIZATION SIZE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
 
 
 
 
13.2
LARGE ENTERPRISES
 
 
 
 
 
13.3
SMES
 
 
 
 
14
FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL (SECTOR-SPECIFIC ADOPTION DRIVERS, DEMAND DYNAMICS, AND MARKET POTENTIAL ACROSS EACH INDUSTRY)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
14.1
INTRODUCTION
 
 
 
 
 
 
14.1.1
VERTICAL: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
 
 
 
 
14.2
BFSI
 
 
 
 
 
 
14.2.1
BANKING
 
 
 
 
 
 
14.2.1.1
ACCOUNT OPENING (DIGITAL CUSTOMER ONBOARDING (KYC/EKYC))
 
 
 
 
 
14.2.1.2
ACCOUNT ACCESS AND RE-AUTHENTICATION
 
 
 
 
 
14.2.1.3
HIGH-VALUE TRANSACTION AUTHORIZATION
 
 
 
 
 
14.2.1.4
ACCOUNT TAKEOVER DETECTION AND PREVENTION
 
 
 
 
 
14.2.1.5
CUSTOMER, EMPLOYEE, AND AGENT IDENTITY VERIFICATION
 
 
 
 
14.2.2
FINANCIAL SERVICES
 
 
 
 
 
 
14.2.2.1
PAYMENT & REMITTANCE
 
 
 
 
 
14.2.2.2
LENDING & CREDIT MANAGEMENT
 
 
 
 
 
14.2.2.3
CRYPTO & DIGITAL ASSET EXCHANGE
 
 
 
 
 
14.2.2.4
INVESTMENT, WEALTH MANAGEMENT, & BROKERAGE
 
 
 
 
 
14.2.2.5
OTHERS (CREDIT RATING AGENCIES, FINANCIAL ADVISORY & CONSULTING, AND TREASURY & CASH MANAGEMENT)
 
 
 
 
14.2.3
INSURANCE
 
 
 
 
14.3
HEALTHCARE
 
 
 
 
 
14.4
RETAIL & ECOMMERCE
 
 
 
 
 
14.5
GOVERNMENT
 
 
 
 
 
14.6
TRAVEL AND TRANSPORTATION
 
 
 
 
 
14.7
REAL ESTATE
 
 
 
 
 
14.8
MANUFACTURING
 
 
 
 
 
14.9
TELECOMMUNICATIONS
 
 
 
 
 
14.10
OTHER VERTICALS
 
 
 
 
15
FRAUD DETECTION AND PREVENTION MARKET BY REGION (ASSESSING GROWTH PATTERNS, INDUSTRY FORCES, REGULATORY LANDSCAPE, AND MARKET POTENTIAL ACROSS KEY GEOGRAPHIES AND COUNTRIES)
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
 
15.1
INTRODUCTION
 
 
 
 
 
15.2
NORTH AMERICA
 
 
 
 
 
 
15.2.1
UNITED STATES
 
 
 
 
 
15.2.2
CANADA
 
 
 
 
15.3
EUROPE
 
 
 
 
 
 
15.3.1
UNITED KINGDOM
 
 
 
 
 
15.3.2
GERMANY
 
 
 
 
 
15.3.3
FRANCE
 
 
 
 
 
15.3.4
ITALY
 
 
 
 
 
15.3.5
SPAIN
 
 
 
 
 
15.3.6
POLAND
 
 
 
 
 
15.3.7
IRELAND
 
 
 
 
 
15.3.8
CZECH REPUBLIC
 
 
 
 
 
15.3.9
REST OF EUROPE
 
 
 
 
15.4
ASIA PACIFIC
 
 
 
 
 
 
15.4.1
CHINA
 
 
 
 
 
15.4.2
JAPAN
 
 
 
 
 
15.4.3
INDIA
 
 
 
 
 
15.4.4
AUSTRALIA & NEW ZEALAND
 
 
 
 
 
15.4.5
SINGAPORE
 
 
 
 
 
15.4.6
REST OF ASIA PACIFIC
 
 
 
 
15.5
MIDDLE EAST & AFRICA
 
 
 
 
 
 
15.5.1
MIDDLE EAST
 
 
 
 
 
 
15.5.1.1
GULF COOPERATION COUNCIL (GCC) COUNTRIES
 
 
 
 
 
 
15.5.1.1.1
UAE
 
 
 
 
 
15.5.1.1.2
KSA
 
 
 
 
 
15.5.1.1.3
REST OF GCC COUNTRIES
 
 
 
 
15.5.1.2
REST OF MIDDLE EAST
 
 
 
 
15.5.2
AFRICA
 
 
 
 
15.6
LATIN AMERICA
 
 
 
 
 
 
15.6.1
BRAZIL
 
 
 
 
 
15.6.2
MEXICO
 
 
 
 
 
15.6.3
COLOMBIA
 
 
 
 
 
15.6.4
REST OF LATIN AMERICA
 
 
 
16
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKING)
 
 
 
 
 
 
16.1
OVERVIEW
 
 
 
 
 
16.2
KEY PLAYER COMPETITIVE STRATEGIES/RIGHT TO WIN, 2024–2026
 
 
 
 
 
16.3
REVENUE ANALYSIS, 2021–2025
 
 
 
 
 
 
16.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
 
16.5
BRAND COMPARISON
 
 
 
 
 
 
16.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
 
16.6.1
STARS
 
 
 
 
 
16.6.2
EMERGING LEADERS
 
 
 
 
 
16.6.3
PERVASIVE PLAYERS
 
 
 
 
 
16.6.4
PARTICIPANTS
 
 
 
 
 
16.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
 
16.6.5.1
COMPANY FOOTPRINT
 
 
 
 
 
16.6.5.2
SOLUTION FOOTPRINT
 
 
 
 
 
16.6.5.3
VERTICAL FOOTPRINT
 
 
 
 
 
16.6.5.4
REGION FOOTPRINT
 
 
 
16.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
 
16.7.1
PROGRESSIVE COMPANIES
 
 
 
 
 
16.7.2
RESPONSIVE COMPANIES
 
 
 
 
 
16.7.3
DYNAMIC COMPANIES
 
 
 
 
 
16.7.4
STARTING BLOCKS
 
 
 
 
 
16.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
 
16.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
 
16.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
 
16.8
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
 
16.9
COMPETITIVE SCENARIOS
 
 
 
 
 
 
16.9.1
PRODUCT LAUNCHES AND DEVELOPMENT
 
 
 
 
 
16.9.2
DEALS
 
 
 
 
 
16.9.3
OTHERS
 
 
 
17
COMPANY PROFILES (IN-DEPTH REVIEW OF COMPANIES, PRODUCTS, SERVICES, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN THE FDP MARKET)
 
 
 
 
 
 
17.1
KEY PLAYERS
 
 
 
 
 
 
17.1.1
FISERV
 
 
 
 
 
17.1.2
LEXISNEXIS RISK SOLUTIONS
 
 
 
 
 
17.1.3
TRANSUNION
 
 
 
 
 
17.1.4
FIS GLOBAL
 
 
 
 
 
17.1.5
NICE ACTIMIZE
 
 
 
 
 
17.1.6
EXPERIAN
 
 
 
 
 
17.1.7
IBM
 
 
 
 
 
17.1.8
ACI WORLDWIDE
 
 
 
 
 
17.1.9
SAS INSTITUTE
 
 
 
 
 
17.1.10
RSA SECURITY
 
 
 
 
 
17.1.11
SAP SE
 
 
 
 
 
17.1.12
FICO
 
 
 
 
 
17.1.13
MICROSOFT
 
 
 
 
 
17.1.14
F5
 
 
 
 
 
17.1.15
AWS
 
 
 
 
 
17.1.16
BOTTOMLINE TECHNOLOGIES (THOMA BRAVO)
 
 
 
 
 
17.1.17
GENPACT
 
 
 
 
 
17.1.18
SECURONIX
 
 
 
 
 
17.1.19
ACCERTIFY (ACCEL-KKR)
 
 
 
 
 
17.1.20
FEEDZAI
 
 
 
 
 
17.1.21
CASEWARE
 
 
 
 
 
17.1.22
ONESPAN
 
 
 
 
 
17.1.23
SIGNIFYD
 
 
 
 
 
17.1.24
BIOCATCH (PERMIRA)
 
 
 
 
 
17.1.25
FRISS
 
 
 
 
 
17.1.26
MAXMIND
 
 
 
 
 
17.1.27
DATAVISOR
 
 
 
 
 
17.1.28
CLEAFY
 
 
 
 
 
17.1.29
GURUCUL
 
 
 
 
 
17.1.30
RISKIFIED
 
 
 
 
 
17.1.31
THOMSON REUTERS
 
 
 
 
 
17.1.32
SIFT (NETSKOPE)
 
 
 
 
 
17.1.33
NOFRAUD
 
 
 
 
 
17.1.34
XTN COGNITIVE SECURITY (CY4GATE)
 
 
 
 
 
17.1.35
FEATURESPACE (VISA)
 
 
 
 
 
17.1.36
EQUIFAX
 
 
 
 
 
17.1.37
ALFA GROUP S.P.A.
 
 
 
 
 
17.1.38
PING IDENTITY
 
 
 
 
 
17.1.39
GFT TECHNOLOGIES
 
 
 
 
 
17.1.40
GBG
 
 
 
 
 
17.1.41
KROLL
 
 
 
 
 
17.1.42
ALLOY
 
 
 
 
17.2
OTHER PLAYERS
 
 
 
 
 
 
17.2.1
SEON
 
 
 
 
 
17.2.2
SPYCLOUD
 
 
 
 
 
17.2.3
ENZOIC
 
 
 
 
 
17.2.4
DEDUCE (CHEQ)
 
 
 
 
 
17.2.5
INCOGNIA
 
 
 
 
 
17.2.6
RESISTANT AI
 
 
 
 
 
17.2.7
AMANI TECHNOLOGIES
 
 
 
 
 
17.2.8
FUGU-IT
 
 
 
 
 
17.2.9
PIPL, INC
 
 
 
 
 
17.2.10
AGNOVI
 
 
 
 
 
17.2.11
CLARI5 (PERFIOS)
 
 
 
 
RESEARCH METHODOLOGY
 
 
 
 
 
 
17.3
RESEARCH DATA
 
 
 
 
 
 
17.3.1
SECONDARY DATA
 
 
 
 
 
 
17.3.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
 
 
17.3.1.2
LIST OF KEY SECONDARY SOURCES
 
 
 
 
17.3.2
PRIMARY DATA
 
 
 
 
 
 
17.3.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
 
17.3.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
 
17.3.2.3
BREAKDOWN OF PRIMARY INTERVIEWS
 
 
 
 
 
17.3.2.4
KEY INDUSTRY INSIGHTS
 
 
 
17.4
MARKET SIZE ESTIMATION
 
 
 
 
 
 
17.4.1
BOTTOM-UP APPROACH
 
 
 
 
 
17.4.2
TOP-DOWN APPROACH
 
 
 
 
 
17.4.3
MARKET SIZE CALCULATION FOR BASE NUMBER
 
 
 
 
17.5
DATA TRIANGULATION
 
 
 
 
 
17.6
FACTOR ANALYSIS
 
 
 
 
 
17.7
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
 
17.8
RISK ASSESSMENT
 
 
 
 
18
APPENDIX
 
 
 
 
 
 
18.1
DISCUSSION GUIDE
 
 
 
 
 
18.2
KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
 
 
 
 
 
18.3
CUSTOMIZATION OPTIONS
 
 
 
 
 
18.4
RELATED REPORTS
 
 
 
 
 
18.5
AUTHOR DETAILS
 
 
 
 

Methodology

Secondary research was conducted to collect information useful for this technical, market-oriented, and commercial study of the fraud detection and prevention (FDP) market. The next step involved validating these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, including top-down and bottom-up methods, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the FDP market.

Secondary Research

During the secondary research process, various secondary sources were consulted to identify and collect information relevant to the study. The secondary sources included annual reports, press releases, investor presentations of FDP vendors, forums, certified publications, and whitepapers. The secondary research was mainly used to obtain key information about the industry’s supply chain, the total pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market- and technology-oriented perspectives, all of which were further validated by primary sources.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and other key executives from major companies and organizations operating in the FDP market.

In the market engineering process, top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to estimate and forecast the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analyses were conducted across the entire market engineering process to present key information/insights throughout the report.

After the complete market engineering process (including calculations for market statistics, market breakups, market size estimates, market forecasts, and data triangulation), extensive primary research was conducted to gather information and verify & validate the derived critical numbers. The primary research was also conducted to identify segmentation types, industry trends, the competitive landscape of FDP market players, and key market dynamics, including drivers, restraints, opportunities, challenges, and key strategies.

The following is the breakup of the primary study:

Fraud Detection and Prevention (FDP) Market Size, and Share

Note: Tier 1 companies receive revenues higher than USD 10 billion; Tier 2 companies' revenues range between USD 1 and 10 billion; and Tier 3 companies' revenues range between USD 500 million and USD 1 billion. Other designations include sales, marketing, and product managers.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches were employed to estimate and validate the size of the FDP market and of various dependent subsegments within it. The research methodology used to estimate the market size includes the following: critical players in the market were identified through secondary research, and their market shares in the respective regions were determined through both primary and secondary research. This procedure involved analyzing the annual and financial reports of the top market players and conducting extensive interviews with key industry leaders, including CEOs, VPs, directors, and marketing executives, to gather valuable insights.

All percentage splits and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the market covered in this study were accounted for, examined in detail, verified through primary research, and analyzed to obtain final quantitative and qualitative data. This data was consolidated with detailed inputs and analysis from MarketsandMarkets.

Fraud Detection and Prevention (FDP) Market : Top-Down and Bottom-Up Approach

Fraud Detection and Prevention (FDP) Market Top Down and Bottom Up Approach

Data Triangulation

The market was divided into several segments and subsegments after determining the overall market size using the market size estimation processes explained above. Data triangulation and market breakup procedures were employed, where applicable, to complete the overall market engineering process and arrive at the exact statistics for each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Market Definition

According to MarketsandMarkets, “FDP is the process of finding fraudulent activity in a system and utilizing the resources to mitigate those risks is termed fraud detection and utilizing automated tools and predictive analytics methods to discover the vulnerability is termed fraud prevention”.

Key Stakeholders

  • Chief Technology and Data Officers
  • Anti-Fraud Service Professionals
  • Business Analysts
  • Information Technology (IT) Professionals
  • Government Agencies
  • Investors And Venture Capitalists
  • Small and Medium-Sized Enterprises (SMEs) and Large Enterprises
  • Third-party Service Providers
  • Consultants/Consultancies/Advisory Firms
  • Managed And Professional Service Providers

Report Objectives

  • To describe and forecast the FDP market by offering, fraud type, functionality, deployment mode, organization size, vertical, and region, as well as analyze the various macroeconomic and microeconomic factors that affect market growth
  • To forecast the market size of five major regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall market
  • To provide detailed information related to the primary factors (drivers, restraints, opportunities, and challenges) influencing the growth of the FDP market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the FDP market
  • To profile the key players of the FDP market and comprehensively analyze their market size and core competencies 
  • To analyze competitive developments, such as product launches, mergers and acquisitions, partnerships, agreements, and collaborations in the global FDP market

Available customizations:

With the given market data, MarketsandMarkets offers customizations based on company-specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix, which gives a detailed comparison of the product portfolio of each company

Regional Analysis

  • Further breakdown of the Asia Pacific market, by country
  • Further breakdown of the North American market, by country
  • Further breakdown of the Latin American market, by country
  • Further breakdown of the Middle Eastern & African market, by country  
  • Further breakdown of the European market, by country

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

 

Key Questions Addressed by the Report

What are the opportunities in the global fraud detection and prevention market?

The fraud detection and prevention market offer strong opportunities through the growing adoption of AI, real-time analytics, and behavioral monitoring to tackle evolving fraud tactics. Expanding digital services, remote onboarding, and rising demand from SMEs and fintechs further open up new growth areas for solution providers.

What is the definition of the fraud detection and prevention market?

According to MarketsandMarkets, the process of finding a fraudulent activity in a system and utilizing the resources to mitigate those risks is termed fraud detection, whereas utilizing automated tools and predictive analytics methods to discover the vulnerability is termed fraud prevention.

Which region is expected to show the highest market share in the fraud detection and prevention market?

North America is expected to account for the largest market share during the forecast period.

What are the major market players covered in the report?

Major vendors, namely, include Major vendors, namely, Fiserv (US), LexisNexis Risk Solutions (US), TransUnion (US), FIS Global (US), Experian (Ireland), IBM (US), NICE Actimize (Israel), ACI Worldwide (US), SAS Institute (US), RSA Security (US), SAP (Germany), FICO (US), Microsoft (US), F5 (US), AWS (US), Bottomline Technologies (US), ClearSale (Brazil), Genpact (US), Securonix (US), Accertify (US), Feedzai (Portugal), CaseWare (Canada), OneSpan (US), Signifyd (US), BioCatch (Israel), FRISS (Netherlands), MaxMind (US), DataVisor (US), Cleafy (Italy), and Gurucul (US). Alloy (US), Castle (US), Enzoic (US), Kubient (US), SpyCloud (US), Seon (Hungary), Deduce (US), Incognia (US), Resistant AI (Czech Republic), Amani Technologies (UAE), JuicyScore (Russia), Fugu (India), and Pipl (US).

What is the current size of the global fraud detection and prevention market?

In 2030, the global fraud detection and prevention market is estimated to reach USD 65.68 billion.

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