Fraud 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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USD 15.06 BN
MARKET SIZE, 2031
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CAGR 14.1%
(2026-2031)
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300
REPORT PAGES
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350
MARKET TABLES

OVERVIEW

fraud-detection-and-prevention-in-bfsi-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The global fraud detection and prevention (FDP) 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 is gaining momentum due to rising financial fraud losses, increasing digital transactions, and a stronger regulatory focus on fraud prevention. At the same time, financial institutions are increasingly adopting digital identity and behavioral authentication to strengthen fraud prevention strategies against evolving cyber threats.

KEY TAKEAWAYS

  • BY REGION
    By region, North America is projected to have the largest market share in 2026.
  • BY OFFERING
    By offering, solutions are projected to dominate the market with a share of 80.2% in 2026.
  • BY SOLUTION
    By solution, authentication is expected to grow at the fastest rate with the CAGR of 14.7%.
  • BY SERVICES
    By services, professional services are expected to dominate the market during the forecast period.
  • BY FRAUD TYPE
    By fraud type, the identity fraud segment is projected to lead in terms of growth rate.
  • BY ORGANIZATION SIZE
    By organization size, SMEs are estimated to have the highest CAGR of 15.7% during the forecast period.
  • BY USE CASE
    Insurance is projected to grow at the fastest rate during the forecast period in the market.
  • COMPETITIVE LANDSCAPE - KEY PLAYERS
    Major market players have adopted both organic and inorganic strategies, including partnerships, acquisitions, and product innovations. FIS Global, Fiserv, TransUnion, LexisNexis Risk Solutions, and ACI Worldwide continue to strengthen their portfolios through AI-driven fraud detection, identity intelligence, and strategic collaborations to address evolving fraud risks across the BFSI sector.

By continuously analyzing user behavior, device interactions, and identity signals, these technologies enable financial institutions to detect fraudulent activities more accurately while minimizing customer friction. This shift toward identity-centric fraud prevention is accelerating investments in AI-powered authentication and behavioral intelligence platforms. For example, Mastercard has expanded its identity intelligence and behavioral authentication capabilities to help financial institutions mitigate evolving fraud risks across digital banking and payment ecosystems.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

This figure illustrates the shift in the fraud detection and prevention in BFSI market toward AI-driven, identity-centric, and real-time fraud prevention. Financial institutions are increasingly adopting predictive analytics, behavioral authentication, and real-time payment fraud detection to address evolving fraud risks and regulatory requirements. Banks, financial service providers, and insurers are prioritizing integrated FDP platforms that strengthen fraud detection, reduce financial losses, improve customer trust, and deliver secure, seamless digital financial experiences.

fraud-detection-and-prevention-in-bfsi-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Rising financial fraud losses across BFSI sector
  • Expansion of digital banking and real-time payment ecosystems
RESTRAINTS
Impact
Level
  • High deployment and operational costs
  • Complexity of integrating endpoint security with legacy IT environments
OPPORTUNITIES
Impact
Level
  • Advancements in AI-driven predictive fraud analytics
  • Growing adoption of digital identity and behavioral authentication
CHALLENGES
Impact
Level
  • Balancing fraud prevention with seamless customer experience
  • Continuous adaptation to emerging fraud techniques

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rising financial fraud losses across the BFSI sector

The increasing frequency and sophistication of financial fraud are driving investments in advanced fraud detection and prevention (FDP) solutions across the BFSI sector. The rapid growth of digital banking, instant payments, and online financial services has expanded the attack surface, exposing institutions to account takeover, payment fraud, identity theft, and authorized push payment scams. Consequently, banks, insurers, and payment providers are strengthening fraud prevention capabilities by deploying AI-powered analytics, behavioral intelligence, and real-time transaction monitoring to minimize financial losses, strengthen customer trust, and comply with evolving regulatory requirements.

Restraint: High deployment and operational costs

High deployment and operational costs continue to restrain the adoption of advanced FDP solutions, particularly among small and mid-sized financial institutions. Implementing enterprise-scale fraud prevention platforms often requires significant investments in software, infrastructure, system integration, skilled personnel, and continuous solution updates. In addition, ongoing costs associated with AI model optimization, regulatory compliance, and platform maintenance further increase the total cost of ownership. These financial constraints may delay modernization initiatives and limit the adoption of comprehensive, AI-driven fraud prevention capabilities across resource-constrained organizations.

Opportunity: Growing adoption of digital identity and behavioral authentication

The growing adoption of digital identity and behavioral authentication presents a significant opportunity for the FDP market in BFSI. As identity theft, credential compromise, and AI-enabled impersonation attacks become increasingly sophisticated, financial institutions are shifting from traditional authentication methods toward continuous identity verification and behavioral analytics. By analyzing user behavior, device intelligence, and contextual risk signals throughout the customer journey, these technologies enable more accurate fraud detection while reducing customer friction. This transition is accelerating investments in identity-centric, AI-powered fraud prevention platforms across the BFSI sector.

Challenge: Balancing fraud prevention with seamless customer experience

Balancing effective fraud prevention with a seamless customer experience remains a key challenge for financial institutions. While stronger authentication controls and transaction verification improve security, excessive security measures can increase false positives, delay legitimate transactions, and negatively affect customer satisfaction. As digital banking and real-time payments continue to expand, institutions must accurately distinguish genuine users from fraudulent activities without introducing unnecessary friction. Achieving this balance requires intelligent, risk-based authentication and AI-driven decision-making that strengthen security while preserving a smooth digital customer experience.

FRAUD DETECTION AND PREVENTION IN BFSI MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Centennial Bank modernized its Bank Secrecy Act (BSA)/AML compliance using FIS Compliance solutions, replacing manual compliance processes with automated customer onboarding, risk rating, suspicious activity monitoring, and regulatory reporting to strengthen fraud and financial crime detection. Automated AML and fraud monitoring Faster customer onboarding and risk assessment Improved suspicious activity detection and regulatory reporting Scalable compliance framework supporting business growth
UMassFive Credit Union deployed Fiserv's fraud management capabilities to optimize payment fraud detection, reduce false declines, and improve cardholder protection through an analytics-driven fraud management strategy. Automated AML and fraud monitoring Faster customer onboarding and risk assessment Improved suspicious activity detection and regulatory reporting Scalable compliance framework supporting business growth
Ikano Bank UK implemented TruValidate Device Intelligence to combat impersonation fraud during digital loan applications by identifying trusted and high-risk devices in real time without increasing customer friction. 72% reduction in impersonation fraud losses within one quarter Nearly eliminated impersonation fraud within six months 850% ROI achieved Faster, friction-right digital onboarding

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 in BFSI market ecosystem consists of solution providers and service providers that collectively help financial institutions detect, prevent, and respond to evolving financial fraud. Solution providers deliver technologies such as fraud analytics, authentication and identity verification, and governance, risk, and compliance (GRC) solutions to strengthen fraud detection, secure digital transactions, and support regulatory compliance. Service providers, on the other hand, offer consulting, implementation, integration, managed services, and ongoing support to optimize FDP deployments. Together, these stakeholders enable banks, financial service providers, and insurers to enhance fraud resilience, reduce financial losses, and deliver secure digital financial services.

fraud-detection-and-prevention-in-bfsi-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-and-prevention-in-bfsi-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

FDP in BFSI market, by Offering

Solutions are expected to hold the largest market share in the FDP in BFSI market during the forecast period due to the increasing need for real-time fraud detection, regulatory compliance, and centralized fraud management. Financial institutions are investing in integrated platforms that combine fraud analytics, authentication, and governance, risk, and compliance (GRC) capabilities to protect digital transactions across multiple channels. For example, in April 2026, Experian launched Transaction Forensics, an AI-powered solution that enhances fraud detection and anti-money laundering across bank-to-bank payments using behavioral analytics and AI.

FDP in BFSI market, by Fraud Type

Payment fraud is expected to account for the largest market share in the FDP in BFSI market owing to the rapid growth of digital banking, eCommerce, and instant payment systems. The increasing volume of card transactions and real-time payments has heightened the risk of authorized push payment (APP) fraud, account takeover, and card fraud. Consequently, financial institutions are strengthening AI-powered transaction monitoring and behavioral analytics. For example, ACI Worldwide continues to enhance its real-time payment fraud management platform to help banks identify fraudulent transactions while minimizing false positives.

FDP in BFSI market, by Organization Size

Large enterprises are expected to hold the largest market share in the FDP in BFSI market due to their extensive digital operations, high transaction volumes, and greater exposure to sophisticated financial fraud. These organizations require enterprise-scale fraud prevention platforms that integrate AI, machine learning, identity intelligence, and regulatory compliance capabilities across multiple business units. For instance, FIS launched its Agentic Commerce offering in January 2026, enabling large financial institutions to securely authorize AI-initiated transactions while strengthening fraud protection across digital payment ecosystems

FDP in BFSI market, by Use Case

Banking is expected to hold the largest market share in the FDP in BFSI market as banks process the highest volume of digital transactions and remain the primary target for payment fraud, identity theft, and account takeover attacks. The increasing adoption of digital banking and real-time payments is accelerating investments in AI-driven fraud analytics, behavioral authentication, and continuous transaction monitoring. For example, Mastercard's Decision Intelligence Pro leverages generative AI to improve real-time fraud detection and transaction risk assessment, helping banks reduce fraud while improving authorization rates.

REGION

Asia Pacific to be fastest-growing region in fraud detection and prevention in BFSI market during forecast period

Asia Pacific is expected to grow at the fastest rate in the FDP in BFSI market due to the rapid adoption of digital banking, real-time payment platforms, and government-led digital finance initiatives. Rising transaction volumes and increasing fraud incidents are accelerating investments in AI-powered fraud detection and identity verification solutions across the region.

fraud-detection-and-prevention-in-bfsi-market Region

FRAUD DETECTION AND PREVENTION IN BFSI MARKET: COMPANY EVALUATION MATRIX

FIS Global (Star) dominates the Fraud Detection and Prevention (FDP) in BFSI market with a comprehensive portfolio of fraud management, anti-money laundering, payment security, and financial crime solutions, leveraging AI-driven analytics, real-time transaction monitoring, and identity intelligence across banking and payment ecosystems. Equifax (Emerging Leader) is strengthening its market position through advanced digital identity, fraud analytics, and identity verification capabilities that help financial institutions combat identity fraud, streamline customer onboarding, and secure digital financial transactions.

fraud-detection-and-prevention-in-bfsi-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

  • 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 (UK)
  • XTN Cognitive (Italy)
  • PIPL (US)
  • JuicyScore (UAE)
  • Amani Technologies (UAE)
  • Cleafy (Italy)
  • Alpha Group (Italy)
  • FUGU-IT (Israel)

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2025 (Value) USD 6.92 Billion
Market Forecast in 2026 (Value) USD 7.78 Billion
Market Forecast in 2031 (Value) USD 15.06 Billion
Growth Rate 14.1%
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 ORganization Size:
    • Large Enterprises
    • SMEs
  • By Use Case:
    • Banking
    • Financial Services
    • Insurance
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

WHAT IS IN IT FOR YOU: FRAUD DETECTION AND PREVENTION IN BFSI MARKET REPORT CONTENT GUIDE

fraud-detection-and-prevention-in-bfsi-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Solution Provider (US) Product Analysis: Fraud Detection and Prevention (FDP) solution and application matrix providing an in-depth comparison across Fraud Analytics, Authentication & Identity Verification, and Governance, Risk & Compliance (GRC) solutions, including AI, behavioral analytics, and real-time payment fraud detection capabilities across BFSI environments. Value Adds: Clear benchmarking of solution strengths across fraud detection accuracy, identity intelligence, payment security, and regulatory compliance to support strategic vendor selection and product positioning decisions.
Leading Service Provider (EU) Company Information: Detailed profiling and evaluation of additional FDP vendors (up to 5), covering Solutions and Services offerings across deployment models, organization sizes, and key BFSI use cases, including banking, financial services, and insurance. Value Adds: Comprehensive assessment of service maturity, industry specialization, and organizational coverage (Large Enterprises and SMEs) to identify partnership opportunities and support market expansion strategies.

RECENT DEVELOPMENTS

  • July 2026 : LexisNexis Risk Solutions and Promon formed a strategic alliance to strengthen mobile fraud prevention by integrating ThreatMetrix digital identity, device, and behavioral intelligence with Promon Shield and Promon Insight. The collaboration enhances in-app protection, real-time fraud detection, and risk intelligence for organizations across financial services, payments, insurance, healthcare, and digital banking, enabling more secure mobile transactions and trusted decision-making
  • April 2026 : Experian launched Transaction Forensics, an AI-powered fraud and anti-money laundering solution developed in collaboration with Resistant AI. The solution combines behavioral analytics with consumer and commercial data to strengthen real-time fraud detection across bank-to-bank payments. Designed for the banking and financial services industry, it enhances the detection of APP fraud, money mule activity, and money laundering while reducing false positives and improving investigation efficiency
  • January 2026 : FIS launched its first agentic commerce solution following the acquisition of its Total Issuing Solutions portfolio and partnered with Mastercard and Visa to enable secure AI-initiated payment transactions. The offering enhances transaction authorization, fraud prevention, and customer servicing, enabling banks to support AI-driven commerce while strengthening fraud protection and payment security.

 

Table of Contents

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TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW
Explains the evolving landscape through demand-side drivers, supply-side constraints, and opportunity hotspots.
 
 
 
 
 
(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
IMPACT OF AI AND GEN AI
 
 
 
 
5
REGULATORY LANDSCAPE
 
 
 
 
 
(NAVIGATE COMPLEX GLOBAL REGULATIONS WITH A COMPREHENSIVE GUIDE TO REGIONAL COMPLIANCE AND INDUSTRY STANDARDS.)
 
 
 
 
 
5.1
REGIONAL REGULATION AND COMPLIANCE
 
 
 
 
 
5.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
5.1.2
INDUSTRY STANDARDS
 
 
6
CUSTOMER LANDSCAPE & BUYER BEHAVIOR
 
 
 
 
 
(UNCOVER HOW STAKEHOLDER DYNAMICS SHAPE PURCHASING DECISIONS AND REVEAL CRITICAL UNMET INDUSTRY NEEDS)
 
 
 
 
 
6.1
DECISION-MAKING PROCESS
 
 
 
 
6.2
BUYER STAKEHOLDERS AND BUYING EVALUATION CRITERIA
 
 
 
 
6.3
ADOPTION BARRIERS & INTERNAL CHALLENGES
 
 
 
 
6.4
UNMET NEEDS
 
 
 
7
FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY OFFERING
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
7.1
INTRODUCTION
 
 
 
 
 
7.1.1
OFFERING: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
 
 
 
7.2
SOLUTION
 
 
 
 
 
7.2.1
FRAUD ANALYTICS
 
 
 
 
7.2.2
AUTHENTICATION
 
 
 
 
7.2.3
GOVERNANCE, RISK, AND COMPLIANCE (GRC)
 
 
 
7.3
SERVICES
 
 
 
 
 
7.3.1
PROFESSIONAL SERVICES
 
 
 
 
7.3.2
MANAGED SERVICES
 
 
8
FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY FRAUD TYPE
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
 
8.1.1
FRAUD TYPE: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
 
 
 
8.2
CHECK FRAUD
 
 
 
 
8.3
IDENTITY FRAUD
 
 
 
 
8.4
INSIDER FRAUD
 
 
 
 
8.5
INVESTMENT FRAUD
 
 
 
 
8.6
PAYMENT FRAUD
 
 
 
 
8.7
INSURANCE FRAUD
 
 
 
 
8.8
FRIENDLY FRAUD
 
 
 
 
8.9
OTHERS
 
 
 
9
FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY ORGANIZATION SIZE (MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
 
9.1.1
ORGANIZATION SIZE: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
 
 
 
9.2
LARGE ENTERPRISES
 
 
 
 
9.3
SMES
 
 
 
10
FRAUD DETECTION AND PREVENTION IN BFSI MARKET, BY USE CASE
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
 
10.1.1
USE CASE: FRAUD DETECTION AND PREVENTION IN BFSI MARKET DRIVERS
 
 
 
10.2
BFSI
 
 
 
 
 
10.2.1
BANKING
 
 
 
 
 
10.2.1.1
ACCOUNT OPENING (DIGITAL CUSTOMER ONBOARDING (KYC/EKYC))
 
 
 
 
10.2.1.2
ACCOUNT ACCESS AND RE-AUTHENTICATION
 
 
 
 
10.2.1.3
HIGH-VALUE TRANSACTION AUTHORIZATION
 
 
 
 
10.2.1.4
ACCOUNT TAKEOVER DETECTION AND PREVENTION
 
 
 
 
10.2.1.5
CUSTOMER, EMPLOYEE AND AGENT IDENTITY VERIFICATION
 
 
 
10.2.2
FINANCIAL SERVICES
 
 
 
 
 
10.2.2.1
PAYMENT & REMITTANCE
 
 
 
 
10.2.2.2
LENDING & CREDIT MANAGEMENT
 
 
 
 
10.2.2.3
CRYPTO & DIGITAL ASSET EXCHANGE
 
 
 
 
10.2.2.4
INVESTMENT, WEALTH MANAGEMENT & BROKERAGE
 
 
 
 
10.2.2.5
OTHERS (CREDIT RATING AGENCIES, FINANCIAL ADVISORY & CONSULTING, TREASURY & CASH MANAGEMENT)
 
 
 
10.2.3
INSURANCE
 
 
 
 
 
10.2.3.1
CUSTOMER ONBOARDING & EKYC
 
 
 
 
10.2.3.2
CLAIMS MANAGEMENT
 
 
 
 
10.2.3.3
POLICY ISSUANCE
 
 
 
 
10.2.3.4
REINSURANCE
 
 
 
 
10.2.3.5
OTHERS (VENDOR MANAGEMENT, BROKER MANAGEMENT, CUSTOMER SERVICE)
 
11
FRAUD DETECTION AND PREVENTION IN BFSI MARKET BY REGION
Market Size, Volume & Forecast – USD Million
 
 
 
 
 
(MARKET SIZE & FORECAST ANALYSIS TO 2031– IN VALUE, USD MILLION)
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
11.2
NORTH AMERICA
 
 
 
 
 
11.2.1
UNITED STATES
 
 
 
 
11.2.2
CANADA
 
 
 
11.3
EUROPE
 
 
 
 
 
11.3.1
UNITED KINGDOM
 
 
 
 
11.3.2
GERMANY
 
 
 
 
11.3.3
FRANCE
 
 
 
 
11.3.4
ITALY
 
 
 
 
11.3.5
REST OF EUROPE
 
 
 
11.4
ASIA PACIFIC
 
 
 
 
 
11.4.1
CHINA
 
 
 
 
11.4.2
JAPAN
 
 
 
 
11.4.3
INDIA
 
 
 
 
11.4.4
REST OF ASIA PACIFIC
 
 
 
11.5
MIDDLE EAST & AFRICA
 
 
 
 
 
11.5.1
MIDDLE EAST
 
 
 
 
11.5.2
AFRICA
 
 
 
11.6
LATIN AMERICA
 
 
 
 
 
11.6.1
BRAZIL
 
 
 
 
11.6.2
MEXICO
 
 
 
 
11.6.3
REST OF LATIN AMERICA
 
 
12
COMPETITIVE LANDSCAPE
 
 
 
 
 
(UNCOVER KEY PLAYERS' WINNING STRATEGIES AND MARKET DOMINANCE IN THE EVOLVING COMPETITIVE LANDSCAPE)
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
12.2
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
12.2.1
STARS
 
 
 
 
12.2.2
EMERGING LEADERS
 
 
 
 
12.2.3
PERVASIVE PLAYERS
 
 
 
 
12.2.4
PARTICIPANTS
 
 
 
12.3
COMPETITIVE SCENARIOS
 
 
 
 
 
12.3.1
PRODUCT LAUNCHES AND DEVELOPMENT
 
 
 
 
12.3.2
DEALS
 
 
13
COMPANY PROFILES
 
 
 
 
 
(IN-DEPTH COMPANY PROFILES OF LEADING MARKET PLAYERS WITH DETAILED BUSINESS OVERVIEW, PRODUCT AND SERVICE PORTFOLIO, RECENT DEVELOPMENTS, AND UNIQUE ANALYST PERSPECTIVE (MNM VIEW))
 
 
 
 
 
13.1
KEY PLAYERS
 
 
 
 
 
13.1.1
FISERV
 
 
 
 
13.1.2
LEXISNEXIS RISK SOLUTIONS
 
 
 
 
13.1.3
TRANSUNION
 
 
 
 
13.1.4
FIS GLOBAL
 
 
 
 
13.1.5
NICE ACTIMIZE
 
 
 
 
13.1.6
EXPERIAN
 
 
 
 
13.1.7
IBM
 
 
 
 
13.1.8
ACI WORLDWIDE
 
 
 
 
13.1.9
SAS INSTITUTE
 
 
 
 
13.1.10
RSA SECURITY
 
 
 
 
13.1.11
FEEDZAI
 
 
 
 
13.1.12
BIOCATCH
 
 
 
 
13.1.13
DATAVISOR
 
 
 
 
13.1.14
CLEAFY
 
 
 
 
13.1.15
SIFT (NETSKOPE)
 
 
 
 
13.1.16
FEATURESPACE (VISA)
 
 
 
 
13.1.17
XTN COGNITIVE SECURITY (CY4GATE)
 
 
 
 
13.1.18
EQUIFAX
 
 
 
 
13.1.19
ALFA GROUP S.P.A.
 
 
 
 
13.1.20
GBG
 
 
 
 
13.1.21
AMANI TECHNOLOGIES
 
 
 
 
13.1.22
JUICYSCORE
 
 
 
 
13.1.23
FUGU-IT
 
 
 
 
13.1.24
PIPL, INC
 
 
14
RESEARCH METHODOLOGY
 
 
 
 
 
14.1
RESEARCH DATA
 
 
 
 
 
14.1.1
SECONDARY DATA
 
 
 
 
 
14.1.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
14.1.2
PRIMARY DATA
 
 
 
 
 
14.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
14.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
14.1.2.3
BREAKDOWN OF PRIMARY INTERVIEWS
 
 
 
 
14.1.2.4
KEY INDUSTRY INSIGHTS
 
 
14.2
MARKET SIZE ESTIMATION
 
 
 
 
 
14.2.1
BOTTOM-UP APPROACH
 
 
 
 
14.2.2
TOP-DOWN APPROACH
 
 
 
 
14.2.3
BASE NUMBER CALCULATIONS
 
 
 
14.3
RESEARCH ASSUMPTIONS
 
 
 
 
14.4
RESEARCH LIMITATIONS
 
 
 
15
APPENDIX
 
 
 
 
 
15.1
DISCUSSION GUIDE
 
 
 
 
15.2
KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
 
 
 
 
15.3
CUSTOMIZATION OPTIONS
 
 
 
 
15.4
RELATED REPORTS
 
 
 
 
15.5
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 in BFSI 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 fraud detection and prevention in BFSI market.

Secondary Research

During the secondary research process, various secondary sources were consulted to identify and collect information relevant to the study. These sources included annual reports, press releases, investor presentations of technology vendors, financial institutions, payment service providers, and other stakeholders across the fraud detection and prevention in BFSI market, along with forums, certified publications, and whitepapers. The secondary research was primarily used to obtain key information on the industry's value chain, the pool of key players, market classification and segmentation to the bottom-most level, regional market trends, and key market and technology developments, all of which were subsequently validated through primary research.

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, including chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and other key executives from various companies and organizations operating in the fraud detection and prevention in BFSI market.

In the market engineering process, top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list key information/insights throughout the report.

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

Following is the breakup of the primary study:

Fraud Detection and Prevention in BFSI 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 fraud detection and prevention in BFSI market, as well as the size of its various segments and subsegments. The research methodology used to estimate the market size included the following: key market players were identified through secondary research, and their respective market shares across regions were validated through primary and secondary research. The overall process also involved analyzing the annual reports and financial statements of leading market participants, along with conducting extensive interviews with key industry experts, 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 possible parameters that affect the market covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data was consolidated and added to detailed inputs and analysis from MarketsandMarkets.

Fraud Detection and Prevention in BFSI Market : Top-Down and Bottom-Up Approach

Fraud Detection and Prevention in BFSI Market Top Down and Bottom Up Approach

Data Triangulation

The market was split into several segments and subsegments after arriving at the overall market size using the market size estimation processes explained above. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of 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, “The fraud detection and prevention in BFSI market refers to the ecosystem of solutions and services designed to identify, assess, prevent, and respond to fraudulent activities across banking, financial services, and insurance organizations. The market encompasses fraud analytics, authentication, and governance, risk, and compliance (GRC) solutions, supported by professional and managed services, to safeguard digital transactions, customer identities, accounts, and financial assets. It addresses a broad spectrum of fraud types, including payment fraud, identity fraud, insider fraud, investment fraud, insurance fraud, check fraud, and friendly fraud, while enabling secure operations across organizations of all sizes. The market supports critical BFSI use cases spanning banking, financial services, and insurance, including digital customer onboarding, transaction authorization, account takeover prevention, lending and credit management, digital asset exchanges, claims management, policy issuance, and related fraud risk management processes.”

Key Stakeholders

  • Fraud Detection & Prevention Solution Providers
  • Authentication & Identity Verification Providers
  • Fraud Analytics & Risk Intelligence Providers
  • Financial Institutions (Banks, NBFCs, and Credit Unions)
  • Insurance Companies
  • Payment Service Providers (PSPs) & Payment Networks
  • FinTech Companies
  • System Integrators & Managed Service Providers (MSPs)
  • Regulatory Authorities & Financial Supervisory Bodies
  • Anti-Money Laundering (AML) & Compliance Teams
  • Risk Management & Fraud Operations Teams
  • Technology Consultants & Industry Associations

Report Objectives

  • To define, describe, and forecast the fraud detection and prevention in BFSI market based on offering, fraud type, organization size, use case, and region from 2026 to 2031, and 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 fraud detection and prevention in BFSI market.
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the fraud detection and prevention in BFSI market.
  • To profile the key players of the fraud detection and prevention in BFSI market and comprehensively analyze their market size and core competencies.
  • To track and analyze competitive developments, such as new product launches, mergers and acquisitions, partnerships, agreements, and collaborations in the global fraud detection and prevention in BFSI 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:

Geographical Analysis

  • Further breakup of the Asia Pacific market into countries contributes to the rest of the regional market size.
  • Further breakup of the North American market into countries contributes to the rest of the regional market size.
  • Further breakup of the Latin American market into countries contributing to the rest of the regional market size
  • Further breakup of the Middle East & African market into countries contributing to the rest of the regional market size
  • Further breakup of the European market into countries contributes to the rest of the regional market size

Company Information

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

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Growth opportunities and latent adjacency in Fraud Detection and Prevention (FDP) in BFSI Market

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