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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1651913

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1651913

Global Fraud Detection and Prevention Market Size Study by Offering (Solutions (Fraud Analytics, Authentication, and GRC) and Services (Professional and Managed)), Fraud Type, Deployment Mode, Vertical, and Regional Forecasts 2022-2032

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The Global Fraud Detection and Prevention Market is valued at approximately USD 24.62 billion in 2023 and is projected to expand at an impressive compound annual growth rate (CAGR) of 17.0% during the forecast period from 2024 to 2032. Fraud detection and prevention systems have become critical for organizations, addressing the increasing risks of cyberattacks, identity theft, and fraudulent transactions across industries. These systems integrate advanced technologies such as artificial intelligence, machine learning, and big data analytics to proactively identify, mitigate, and respond to fraudulent activities.

The evolution of fraud detection solutions is driven by the rapid adoption of cloud-based services, the emergence of real-time analytics, and the integration of biometric authentication methods. These innovations enable businesses to efficiently monitor and safeguard sensitive data while maintaining compliance with stringent regulatory standards. Additionally, the growing importance of Governance, Risk, and Compliance (GRC) frameworks across sectors such as BFSI, healthcare, and e-commerce underscores the need for robust fraud prevention strategies.

Challenges such as high implementation costs and the complexity of deploying solutions within legacy systems continue to impede market growth. However, the rising demand for managed services and the increasing integration of blockchain technology to enhance transaction transparency are paving the way for unprecedented opportunities in the fraud detection and prevention space.

Geographically, North America dominates the market due to its advanced cybersecurity infrastructure and early adoption of fraud detection technologies. Meanwhile, the Asia Pacific region is anticipated to witness the fastest growth during the forecast period, driven by the surge in digital transformation initiatives, rising awareness of data security, and expanding financial services in emerging economies such as India and China.

Major market players included in this report are:

  • IBM Corporation
  • SAS Institute Inc.
  • FICO
  • Oracle Corporation
  • BAE Systems
  • NICE Actimize
  • Experian PLC
  • LexisNexis Risk Solutions
  • Capgemini SE
  • ACI Worldwide Inc.
  • TransUnion
  • CyberSource Corporation
  • Software AG
  • DXC Technology Company
  • ThreatMetrix Inc.

The detailed segments and sub-segment of the market are explained below:

By Offering:

Solutions:

    • Fraud Analytics
    • Authentication
    • Governance, Risk, and Compliance (GRC)

Services:

    • Professional Services
    • Managed Services

By Fraud Type:

  • Payment Fraud
  • Identity Theft
  • Money Laundering
  • Others

By Deployment Mode:

  • Cloud
  • On-Premise

By Vertical:

  • BFSI
  • Retail
  • Healthcare
  • Government
  • IT & Telecom
  • Others

By Region:

North America:

  • U.S.
  • Canada

Europe:

  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe

Asia Pacific:

  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific

Latin America:

  • Brazil
  • Mexico

Middle East & Africa:

  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Years considered for the study are as follows:

  • Historical Year: 2022
  • Base Year: 2023
  • Forecast Period: 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional-level analysis for each market segment.
  • Detailed analysis of geographical landscape with country-level insights into major regions.
  • Competitive landscape overview and information on prominent players in the market.
  • Analysis of key business strategies and actionable recommendations for future market approaches.
  • Demand-side and supply-side analysis of the market.

Table of Contents

Chapter 1. Global Fraud Detection and Prevention Market Executive Summary

  • 1.1. Global Fraud Detection and Prevention Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Offering
      • 1.3.1.1. Solutions (Fraud Analytics, Authentication, and GRC)
      • 1.3.1.2. Services (Professional and Managed)
    • 1.3.2. By Fraud Type
      • 1.3.2.1. Payment Fraud
      • 1.3.2.2. Identity Theft
      • 1.3.2.3. Money Laundering
      • 1.3.2.4. Others
    • 1.3.3. By Deployment Mode
      • 1.3.3.1. Cloud
      • 1.3.3.2. On-Premise
    • 1.3.4. By Vertical
      • 1.3.4.1. BFSI
      • 1.3.4.2. Retail
      • 1.3.4.3. Healthcare
      • 1.3.4.4. Government
      • 1.3.4.5. IT & Telecom
      • 1.3.4.6. Others
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Fraud Detection and Prevention Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Fraud Detection and Prevention Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Rapid Adoption of Cloud-Based Solutions and Real-Time Analytics
    • 3.1.2. Integration of Advanced Technologies (AI, ML, Biometrics)
    • 3.1.3. Expanding GRC Frameworks in BFSI, Healthcare, and E-commerce
  • 3.2. Market Challenges
    • 3.2.1. High Implementation Costs and Complex Legacy System Integrations
    • 3.2.2. Data Privacy Concerns and Regulatory Compliance Issues
  • 3.3. Market Opportunities
    • 3.3.1. Growing Demand for Managed Services and Outsourced Security Solutions
    • 3.3.2. Increasing Adoption of Blockchain for Enhanced Transparency
    • 3.3.3. Emerging Markets and Digital Transformation Initiatives

Chapter 4. Global Fraud Detection and Prevention Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Fraud Detection and Prevention Market Size & Forecasts by Offering, Fraud Type, Deployment Mode, and Vertical (2022-2032)

  • 5.1. Segment Dashboard
  • 5.2. Global Fraud Detection and Prevention Market: Segment Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
    • 5.2.1. By Offering
      • 5.2.1.1. Solutions (Fraud Analytics, Authentication, and GRC)
      • 5.2.1.2. Services (Professional and Managed)
    • 5.2.2. By Fraud Type
      • 5.2.2.1. Payment Fraud
      • 5.2.2.2. Identity Theft
      • 5.2.2.3. Money Laundering
      • 5.2.2.4. Others
    • 5.2.3. By Deployment Mode
      • 5.2.3.1. Cloud
      • 5.2.3.2. On-Premise
    • 5.2.4. By Vertical
      • 5.2.4.1. BFSI
      • 5.2.4.2. Retail
      • 5.2.4.3. Healthcare
      • 5.2.4.4. Government
      • 5.2.4.5. IT & Telecom
      • 5.2.4.6. Others

Chapter 6. Global Fraud Detection and Prevention Market Size & Forecasts by End Use (2022-2032)

  • 6.1. Segment Dashboard
  • 6.2. Global Fraud Detection and Prevention Market: End Use Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)

Chapter 7. Global Fraud Detection and Prevention Market Size & Forecasts by Region (2022-2032)

  • 7.1. North America Fraud Detection and Prevention Market
    • 7.1.1. U.S. Market
      • 7.1.1.1. Segment Breakdown by Offering, Fraud Type, Deployment Mode & Vertical, 2022-2032
    • 7.1.2. Canada Market
  • 7.2. Europe Fraud Detection and Prevention Market
    • 7.2.1. UK Market
    • 7.2.2. Germany Market
    • 7.2.3. France Market
    • 7.2.4. Spain Market
    • 7.2.5. Italy Market
    • 7.2.6. Rest of Europe Market
  • 7.3. Asia-Pacific Fraud Detection and Prevention Market
    • 7.3.1. China Market
    • 7.3.2. India Market
    • 7.3.3. Japan Market
    • 7.3.4. Australia Market
    • 7.3.5. South Korea Market
    • 7.3.6. Rest of Asia-Pacific Market
  • 7.4. Latin America Fraud Detection and Prevention Market
    • 7.4.1. Brazil Market
    • 7.4.2. Mexico Market
    • 7.4.3. Rest of Latin America Market
  • 7.5. Middle East & Africa Fraud Detection and Prevention Market
    • 7.5.1. Saudi Arabia Market
    • 7.5.2. South Africa Market
    • 7.5.3. Rest of Middle East & Africa Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
    • 8.1.1. IBM Corporation
    • 8.1.2. SAS Institute Inc.
    • 8.1.3. FICO
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. IBM Corporation
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. SAS Institute Inc.
    • 8.3.3. FICO
    • 8.3.4. Oracle Corporation
    • 8.3.5. BAE Systems
    • 8.3.6. NICE Actimize
    • 8.3.7. Experian PLC
    • 8.3.8. LexisNexis Risk Solutions
    • 8.3.9. Capgemini SE
    • 8.3.10. ACI Worldwide Inc.
    • 8.3.11. TransUnion
    • 8.3.12. CyberSource Corporation
    • 8.3.13. Software AG
    • 8.3.14. DXC Technology Company
    • 8.3.15. ThreatMetrix Inc.

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes
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+32-2-535-7543

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