1.1 Study Objectives
    1.2 Market Definition
    1.3 Market Scope

        1.3.1 Market Segmentation and Regional Scope
        1.3.2 Inclusions and Exclusions

    1.4 Years Considered
    1.5 Currency Considered
    1.6 Stakeholders
    1.7 Summary of Changes
 

    2.1 Introduction
    2.2 Market Dynamics

        2.2.1 Drivers

            2.2.1.1 Surge in synthetic identities
            2.2.1.2 Evolving regulatory environment
            2.2.1.3 Increased revenue losses and  chargebacks due to fraud
            2.2.1.4 Surge in fraudulent activities
            2.2.1.5 Rise in adoption of fraud analytics and  risk-based
                    authentication solutions to  combat fraud

        2.2.2 Restraints

            2.2.2.1 False positives with highly sensitive  fraud detection
                    systems
            2.2.2.2 Rise in online fraud complexity
            2.2.2.3 Privacy concerns related to fraud  detection

        2.2.3 Opportunities

            2.2.3.1 Rising Use of predictive analytics in fraud  detection and
                    prevention
            2.2.3.2 Increased adoption of advanced  technologies
            2.2.3.3 Rising demand for Transaction Fraud  Protection-as-a-Service
                    among digital  payment providers
            2.2.3.4 Expansion of application fraud detection  solutions across
                    online account  onboarding channels
            2.2.3.5 Growing Use of fraud detection tools by  card issuers and
                    payment processors to  prevent payment fraud
            2.2.3.6 Emergence of crypto-focused fraud  prevention Use cases with
                    growing DEFI  and Web3 transactions

        2.2.4 Challenges

            2.2.4.1 Multifaceted cross-channel fraud
            2.2.4.2 Lack of trained professionals to analyze  fraud attacks

    2.3 Porter’s Five Forces Analysis

        2.3.1 Threat of New Entrants
        2.3.2 Threat of Substitutes
        2.3.3 Bargaining Power of Suppliers
        2.3.4 Bargaining Power of Buyers
        2.3.5 Intensity of Competitive Rivalry

    2.4 Ecosystem Analysis/Market Map
    2.5 Value Chain Analysis

        2.5.1 Planning and Designing
        2.5.2 FDP Solution Providers
        2.5.3 System Integration
        2.5.4 Distribution
        2.5.5 End Users

    2.6 Patent Analysis

        2.6.1 List of Patents in Fraud Detection and Prevention  Market,
              2023–2025

    2.7 Technology Analysis

        2.7.1 Key Technology

            2.7.1.1 Machine learning and artificial  intelligence
            2.7.1.2 Big data analytics
            2.7.1.3 Predictive analytics

        2.7.2 Complementary Technology

            2.7.2.1 Cloud computing
            2.7.2.2 Authentication
            2.7.2.3 Encryption

        2.7.3 Adjacent Technology

            2.7.3.1 Internet of Things (IoT)
            2.7.3.2 Real-time Authentication (RTA)

    2.8 Key Conferences & Events, 2025–2026
    2.9 Investment Landscape
    2.10 Impact of Generative Ai on Fraud Detection and  Prevention Market

        2.10.1 Top Use Cases & Market Potential

            2.10.1.1 Key Use cases

        2.10.2 Impact of Gen Ai on Interconnected and Adjacent  Ecosystem

            2.10.2.1 Anti-Money Laundering Market
            2.10.2.2 EGRC market
            2.10.2.3 Identity verification market
            2.10.2.4 Identity and Access Management (IAM)

    2.11 Trends/Disruptions Impacting Customer Business
    2.12 Technology Roadmap

        2.12.1 FDP Technology Roadmap Till 2030

            2.12.1.1 Short-term roadmap (2025–2026)
            2.12.1.2 Mid-term roadmap (2027–2028)
            2.12.1.3 Long-term roadmap (2029–2030)

    2.13 History of Fraud Detection and Prevention Market

        2.13.1 1990s
        2.13.2 2000–2010
        2.13.3 2010–2020
        2.13.4 2020–Present

    2.14 Best Practices in Fraud Detection and Prevention Market
 

    3.1 Introduction
    3.2 Key Player Strategies/Right to Win
    3.3 Revenue Analysis, 2019–2024
    3.4 Market Share Analysis, 2024
    3.5 Company Valuation and Financial Metrics

        3.5.1 Company Valuation, 2025
        3.5.2 Financial Metrics USing Ev/Ebidta

    3.6 Company Evaluation Matrix: Startups/SMEs, 2024

        3.6.1 Progressive Companies
        3.6.2 Responsive Companies
        3.6.3 Dynamic Companies
        3.6.4 Starting Blocks
        3.6.5 Competitive Benchmarking: Startups/SMEs, 2024

            3.6.5.1 Detailed list of key startups/SMEs
            3.6.5.2 Competitive benchmarking of key  startups/SMEs

    3.7 Competitive Scenario and Trends

        3.7.1 Product Launches
        3.7.2 Deals