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PUBLISHER: Persistence Market Research | PRODUCT CODE: 1708020

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PUBLISHER: Persistence Market Research | PRODUCT CODE: 1708020

Online Payment Fraud Detection Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2025 - 2032

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Persistence Market Research has recently released a comprehensive report on the global Online Payment Fraud Detection Market, providing an in-depth analysis of key market dynamics, including driving forces, emerging trends, opportunities, and challenges. This report offers a detailed understanding of the market landscape, helping stakeholders make well-informed decisions.

Key Insights:

  • Online Payment Fraud Detection Market Size (2025E): US$ 8,090.8 Mn
  • Projected Market Value (2032F): US$ 19,997.9 Mn
  • Global Market Growth Rate (CAGR 2025 to 2032): 13.8%

Online Payment Fraud Detection Market - Report Scope:

The online payment fraud detection market encompasses technologies and solutions used to detect, prevent, and mitigate fraudulent activities during online payment transactions. Fraud detection tools help businesses secure payment systems, reduce chargebacks, and maintain customer trust. The growing shift toward digital payment methods and the increasing sophistication of fraudulent schemes are driving market growth. Additionally, the increasing reliance on e-commerce, mobile payments, and digital banking services has led to a higher demand for robust fraud prevention solutions.

Market Growth Drivers:

The global online payment fraud detection market is experiencing rapid growth, primarily driven by the rising number of online transactions, the proliferation of digital payment methods, and the increasing frequency of cyberattacks targeting payment systems. As digital transactions become more prevalent across various sectors such as banking, retail, and telecommunications, there is a growing need to safeguard sensitive financial information and ensure the integrity of payment systems. Moreover, stricter regulatory requirements and compliance standards surrounding data protection and payment security are prompting businesses to invest in fraud detection solutions. The rise of mobile commerce and the increasing adoption of online banking services are also fueling the demand for advanced fraud detection technologies.

Market Restraints:

Despite the promising market potential, the online payment fraud detection industry faces several challenges. One of the key restraints is the high cost of implementing advanced fraud detection solutions, particularly for small and medium-sized businesses. The complexity of integrating fraud detection systems with existing payment infrastructures can also lead to operational disruptions. Additionally, the constantly evolving nature of fraudulent activities, where fraudsters employ increasingly sophisticated methods, poses a continuous challenge for fraud detection providers to stay ahead of new threats. The reliance on large volumes of transaction data for effective fraud detection also raises concerns related to data privacy and security.

Market Opportunities:

The online payment fraud detection market offers significant growth opportunities due to the continuous advancement in artificial intelligence (AI) and machine learning (ML) technologies. These technologies are enabling more accurate and real-time fraud detection, making them essential for preventing complex fraud schemes. The rising adoption of biometrics, such as facial recognition and fingerprint scanning, presents new opportunities for enhanced security. Additionally, the expansion of e-commerce in emerging markets like Asia-Pacific and Latin America provides new avenues for fraud detection providers to expand their customer base. As businesses continue to move toward digitalization, there is also an opportunity for fraud detection vendors to develop tailored solutions for specific industries such as banking, retail, and healthcare.

Key Questions Answered in the Report:

  • What are the primary factors driving the growth of the global online payment fraud detection market?
  • Which regions and market segments are experiencing the highest demand for fraud detection solutions?
  • How are advancements in AI and machine learning influencing market dynamics?
  • Who are the key players in the online payment fraud detection market, and what strategies are they adopting to stay competitive?
  • What are the emerging trends and future projections for the global online payment fraud detection market?

Competitive Intelligence and Business Strategy:

Leading companies in the global online payment fraud detection market, such as ACI Worldwide, Experian, SecuroNix, and PayPal, are investing heavily in advanced analytics, AI, and machine learning to enhance the accuracy and speed of fraud detection. These companies are focusing on offering end-to-end fraud prevention solutions that integrate seamlessly with existing payment infrastructures. Partnerships with financial institutions and retail giants are helping these players expand their market reach. Furthermore, companies are prioritizing innovations in biometric authentication, real-time fraud detection, and secure payment channels to meet the growing demand for enhanced security.

Companies Covered in This Report:

  • ACI Worldwide
  • Experian
  • SecuroNix
  • Accertify
  • Feedzai
  • CaseWare
  • FRISS
  • MaxMind
  • Gurucul
  • DataVisor
  • PayPal
  • Visa

Online Payment Fraud Detection Market Segmentation:

By Component:

  • Solutions
  • Services

By Deployment:

  • On-premises
  • Cloud-based

By Vertical:

  • BFSI
  • IT and Telecom
  • Retail and Consumer Packaged Goods
  • Government
  • Real Estate and Construction
  • Energy and Utilities
  • Others

By Region:

  • North America
  • Europe
  • East Asia
  • South Asia and Oceania
  • Latin America
  • Middle East and Africa
Product Code: PMRREP33078

Table of Contents

1. Executive Summary

  • 1.1. Global Online Payment Fraud Detection Market Snapshot, 2025-2032
  • 1.2. Market Opportunity Assessment, 2025-2032, US$ Mn
  • 1.3. Key Market Trends
  • 1.4. Future Market Projections
  • 1.5. Premium Market Insights
  • 1.6. Industry Developments and Key Market Events
  • 1.7. PMR Analysis and Recommendations

2. Market Overview

  • 2.1. Market Scope and Definition
  • 2.2. Market Dynamics
    • 2.2.1. Drivers
    • 2.2.2. Restraints
    • 2.2.3. Opportunity
    • 2.2.4. Key Trends
  • 2.3. Macro-Economic Factors
    • 2.3.1. Global Sectorial Outlook
    • 2.3.2. Global GDP Growth Outlook
  • 2.4. COVID-19 Impact Analysis
  • 2.5. Forecast Factors - Relevance and Impact

3. Value Added Insights

  • 3.1. Component Adoption Analysis
  • 3.2. Regulatory Landscape
  • 3.3. Value Chain Analysis
  • 3.4. PESTLE Analysis
  • 3.5. Porter's Five Force Analysis

4. Price Analysis, 2025A

  • 4.1. Key Highlights
  • 4.2. Key Factors Impacting Component Prices
  • 4.3. Pricing Analysis, By Component
  • 4.4. Regional Prices and Component Preferences

5. Global Online Payment Fraud Detection Market Outlook

  • 5.1. Key Highlights
    • 5.1.1. Market Volume (Units) Projections
    • 5.1.2. Market Size (US$ Mn) and Y-o-Y Growth
    • 5.1.3. Absolute $ Opportunity
  • 5.2. Market Size (US$ Mn) Analysis and Forecast
    • 5.2.1. Historical Market Size (US$ Mn) Analysis, 2019-2024
    • 5.2.2. Current Market Size (US$ Mn) Analysis and Forecast, 2025-2032
  • 5.3. Global Online Payment Fraud Detection Market Outlook: Component
    • 5.3.1. Introduction / Key Findings
    • 5.3.2. Historical Market Size (US$ Mn) and Volume (Units) Analysis, By Component, 2019-2024
    • 5.3.3. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
      • 5.3.3.1. Solutions
      • 5.3.3.2. Services
    • 5.3.4. Market Attractiveness Analysis: Component
  • 5.4. Global Online Payment Fraud Detection Market Outlook: Deployment
    • 5.4.1. Introduction / Key Findings
    • 5.4.2. Historical Market Size (US$ Mn) Analysis, By Deployment, 2019-2024
    • 5.4.3. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
      • 5.4.3.1. On-premises
      • 5.4.3.2. Cloud-based
    • 5.4.4. Market Attractiveness Analysis: Deployment
  • 5.5. Global Online Payment Fraud Detection Market Outlook: Vertical
    • 5.5.1. Introduction / Key Findings
    • 5.5.2. Historical Market Size (US$ Mn) Analysis, By Vertical, 2019-2024
    • 5.5.3. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
      • 5.5.3.1. BFSI
      • 5.5.3.2. IT and Telecom
      • 5.5.3.3. Retail and Consumer Packaged Goods
      • 5.5.3.4. Government
      • 5.5.3.5. Real Estate and Construction
      • 5.5.3.6. Energy and Utilities
      • 5.5.3.7. Others
    • 5.5.4. Market Attractiveness Analysis: Vertical

6. Global Online Payment Fraud Detection Market Outlook: Region

  • 6.1. Key Highlights
  • 6.2. Historical Market Size (US$ Mn) Analysis, By Region, 2019-2024
  • 6.3. Current Market Size (US$ Mn) Analysis and Forecast, By Region, 2025-2032
    • 6.3.1. North America
    • 6.3.2. Europe
    • 6.3.3. East Asia
    • 6.3.4. South Asia and Oceania
    • 6.3.5. Latin America
    • 6.3.6. Middle East & Africa
  • 6.4. Market Attractiveness Analysis: Region

7. North America Online Payment Fraud Detection Market Outlook

  • 7.1. Key Highlights
  • 7.2. Historical Market Size (US$ Mn) Analysis, By Market, 2019-2024
    • 7.2.1. By Country
    • 7.2.2. By Component
    • 7.2.3. By Deployment
    • 7.2.4. By Vertical
  • 7.3. Current Market Size (US$ Mn) Analysis and Forecast, By Country, 2025-2032
    • 7.3.1. U.S.
    • 7.3.2. Canada
  • 7.4. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
    • 7.4.1. Solutions
    • 7.4.2. Services
  • 7.5. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
    • 7.5.1. On-premises
    • 7.5.2. Cloud-based
  • 7.6. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
    • 7.6.1. BFSI
    • 7.6.2. IT and Telecom
    • 7.6.3. Retail and Consumer Packaged Goods
    • 7.6.4. Government
    • 7.6.5. Real Estate and Construction
    • 7.6.6. Energy and Utilities
    • 7.6.7. Others
  • 7.7. Market Attractiveness Analysis

8. Europe Online Payment Fraud Detection Market Outlook

  • 8.1. Key Highlights
  • 8.2. Historical Market Size (US$ Mn) Analysis, By Market, 2019-2024
    • 8.2.1. By Country
    • 8.2.2. By Component
    • 8.2.3. By Deployment
    • 8.2.4. By Vertical
  • 8.3. Current Market Size (US$ Mn) Analysis and Forecast, By Country, 2025-2032
    • 8.3.1. Germany
    • 8.3.2. France
    • 8.3.3. U.K.
    • 8.3.4. Italy
    • 8.3.5. Spain
    • 8.3.6. Russia
    • 8.3.7. Turkey
    • 8.3.8. Rest of Europe
  • 8.4. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
    • 8.4.1. Solutions
    • 8.4.2. Services
  • 8.5. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
    • 8.5.1. On-premises
    • 8.5.2. Cloud-based
  • 8.6. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
    • 8.6.1. BFSI
    • 8.6.2. IT and Telecom
    • 8.6.3. Retail and Consumer Packaged Goods
    • 8.6.4. Government
    • 8.6.5. Real Estate and Construction
    • 8.6.6. Energy and Utilities
    • 8.6.7. Others
  • 8.7. Market Attractiveness Analysis

9. East Asia Online Payment Fraud Detection Market Outlook

  • 9.1. Key Highlights
  • 9.2. Historical Market Size (US$ Mn) Analysis, By Market, 2019-2024
    • 9.2.1. By Country
    • 9.2.2. By Component
    • 9.2.3. By Deployment
    • 9.2.4. By Vertical
  • 9.3. Current Market Size (US$ Mn) Analysis and Forecast, By Country, 2025-2032
    • 9.3.1. China
    • 9.3.2. Japan
    • 9.3.3. South Korea
  • 9.4. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
    • 9.4.1. Solutions
    • 9.4.2. Services
  • 9.5. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
    • 9.5.1. On-premises
    • 9.5.2. Cloud-based
  • 9.6. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
    • 9.6.1. BFSI
    • 9.6.2. IT and Telecom
    • 9.6.3. Retail and Consumer Packaged Goods
    • 9.6.4. Government
    • 9.6.5. Real Estate and Construction
    • 9.6.6. Energy and Utilities
    • 9.6.7. Others
  • 9.7. Market Attractiveness Analysis

10. South Asia & Oceania Online Payment Fraud Detection Market Outlook

  • 10.1. Key Highlights
  • 10.2. Historical Market Size (US$ Mn) Analysis, By Market, 2019-2024
    • 10.2.1. By Country
    • 10.2.2. By Component
    • 10.2.3. By Deployment
    • 10.2.4. By Vertical
  • 10.3. Current Market Size (US$ Mn) Analysis and Forecast, By Country, 2025-2032
    • 10.3.1. India
    • 10.3.2. Southeast Asia
    • 10.3.3. ANZ
    • 10.3.4. Rest of South Asia & Oceania
  • 10.4. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
    • 10.4.1. Solutions
    • 10.4.2. Services
  • 10.5. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
    • 10.5.1. On-premises
    • 10.5.2. Cloud-based
  • 10.6. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
    • 10.6.1. BFSI
    • 10.6.2. IT and Telecom
    • 10.6.3. Retail and Consumer Packaged Goods
    • 10.6.4. Government
    • 10.6.5. Real Estate and Construction
    • 10.6.6. Energy and Utilities
    • 10.6.7. Others
  • 10.7. Market Attractiveness Analysis

11. Latin America Online Payment Fraud Detection Market Outlook

  • 11.1. Key Highlights
  • 11.2. Historical Market Size (US$ Mn) Analysis, By Market, 2019-2024
    • 11.2.1. By Country
    • 11.2.2. By Component
    • 11.2.3. By Deployment
    • 11.2.4. By Vertical
  • 11.3. Current Market Size (US$ Mn) Analysis and Forecast, By Country, 2025-2032
    • 11.3.1. Brazil
    • 11.3.2. Mexico
    • 11.3.3. Rest of Latin America
  • 11.4. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
    • 11.4.1. Solutions
    • 11.4.2. Services
  • 11.5. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
    • 11.5.1. On-premises
    • 11.5.2. Cloud-based
  • 11.6. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
    • 11.6.1. BFSI
    • 11.6.2. IT and Telecom
    • 11.6.3. Retail and Consumer Packaged Goods
    • 11.6.4. Government
    • 11.6.5. Real Estate and Construction
    • 11.6.6. Energy and Utilities
    • 11.6.7. Others
  • 11.7. Market Attractiveness Analysis

12. Middle East & Africa Online Payment Fraud Detection Market Outlook

  • 12.1. Key Highlights
  • 12.2. Historical Market Size (US$ Mn) Analysis, By Market, 2019-2024
    • 12.2.1. By Country
    • 12.2.2. By Component
    • 12.2.3. By Deployment
    • 12.2.4. By Vertical
  • 12.3. Current Market Size (US$ Mn) Analysis and Forecast, By Country, 2025-2032
    • 12.3.1. GCC Countries
    • 12.3.2. Egypt
    • 12.3.3. South Africa
    • 12.3.4. Northern Africa
    • 12.3.5. Rest of Middle East & Africa
  • 12.4. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast, By Component, 2025-2032
    • 12.4.1. Solutions
    • 12.4.2. Services
  • 12.5. Current Market Size (US$ Mn) Analysis and Forecast, By Deployment, 2025-2032
    • 12.5.1. On-premises
    • 12.5.2. Cloud-based
  • 12.6. Current Market Size (US$ Mn) Analysis and Forecast, By Vertical, 2025-2032
    • 12.6.1. BFSI
    • 12.6.2. IT and Telecom
    • 12.6.3. Retail and Consumer Packaged Goods
    • 12.6.4. Government
    • 12.6.5. Real Estate and Construction
    • 12.6.6. Energy and Utilities
    • 12.6.7. Others
  • 12.7. Market Attractiveness Analysis

13. Competition Landscape

  • 13.1. Market Share Analysis, 2025
  • 13.2. Market Structure
    • 13.2.1. Competition Intensity Mapping By Market
    • 13.2.2. Competition Dashboard
  • 13.3. Company Profiles (Details - Overview, Financials, Strategy, Recent Developments)
    • 13.3.1. ACI Worldwide
      • 13.3.1.1. Overview
      • 13.3.1.2. Segments and Components
      • 13.3.1.3. Key Financials
      • 13.3.1.4. Market Developments
      • 13.3.1.5. Market Strategy
    • 13.3.2. Experian
    • 13.3.3. SecuroNix
    • 13.3.4. Accertify
    • 13.3.5. Feedzai
    • 13.3.6. CaseWare
    • 13.3.7. FRISS
    • 13.3.8. MaxMind
    • 13.3.9. Gurucul
    • 13.3.10. DataVisor
    • 13.3.11. PayPal
    • 13.3.12. Visa
    • 13.3.13. SAS Institute
    • 13.3.14. SAP SE
    • 13.3.15. Microsoft Corporation
    • 13.3.16. F5, Inc.
    • 13.3.17. Ingenico AWS
    • 13.3.18. PerimeterX
    • 13.3.19. OneSpan
    • 13.3.20. Signifyd
    • 13.3.21. Cleafy
    • 13.3.22. Pondera Solutions

14. Appendix

  • 14.1. Research Methodology
  • 14.2. Research Assumptions
  • 14.3. Acronyms and Abbreviations
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