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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1517468

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1517468

Global Fraud Management in Banking Market Size study, by Component by Fraud Type by Application and Regional Forecasts 2022-2032

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Global Fraud Management in Banking Market is valued approximately at USD 7.98 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 22.8% over the forecast period 2024-2032. Fraud management in banking encompasses a range of sophisticated techniques employed by financial institutions to mitigate risks and safeguard their assets, systems, and customers. Utilizing forensic and statistical analysis, pattern recognition, and anomaly detection, these methods aim to preserve the integrity and security of the financial ecosystem. The market's growth is substantially driven by the increasing adoption of online and mobile banking services, coupled with a surge in financial fraud incidents. Furthermore, the integration of digital transformation technologies has amplified the effectiveness of fraud management systems, thereby fostering market expansion.

The Global Fraud Management in Banking Market is driven by rising adoption of online banking applications and mobile banking services, alongside the rising incidences of financial fraud, propels the global fraud management in banking market. The implementation of digital transformation technologies has notably enhanced the market's growth trajectory. Moreover, the burgeoning fintech innovations present lucrative opportunities for the market's expansion in the foreseeable future. However, the market faces challenges, such as high false positive rates and the escalating complexity of fraudulent activities, which impede its progression.

The key regions considered for the Global Fraud Management in Banking Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America held the dominant market share in 2023, attributed to the increasing adoption of fraud management solutions by small and medium enterprises aiming to streamline financial operations effectively. Furthermore, the Asia-Pacific region is poised for significant growth during the forecast period, driven by the rising implementation of web-based and mobile-based business applications within the banking fraud management sector.

Major market player included in this report are:

  • IBM Corporation
  • NICE Actimize
  • LexisNexis Risk Solutions
  • Experian PLC
  • ACI Worldwide Inc.
  • SAS Institute Inc.
  • SAP SE
  • BioCatch Ltd.
  • FIS Global
  • BAE Systems

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

By Component:

  • Solution
  • Service

By Fraud Type:

  • Payment Fraud
  • Loan Fraud
  • Identity Theft
  • Money Laundering
  • Others

By Application:

  • Fraud Detection and Prevention Systems
  • Identity and Access Management (IAM)
  • Customer Authentication
  • Transaction Monitoring
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

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 analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Fraud Management in Banking Market Executive Summary

  • 1.1. Global Fraud Management in Banking Market Size & Forecast (2022- 2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Fraud Type
    • 1.3.3. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Fraud Management in Banking 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 Management in Banking Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Rise in Adoption of Online Banking Applications
    • 3.1.2. Increase in Financial Fraud Incidents
    • 3.1.3. Integration of Digital Transformation Technologies
  • 3.2. Market Challenges
    • 3.2.1. High False Positive Rates
    • 3.2.2. Increasing Fraud Complexity
  • 3.3. Market Opportunities
    • 3.3.1. Innovations in Fintech
    • 3.3.2. Adoption of Web-Based and Mobile-Based Applications

Chapter 4. Global Fraud Management in Banking 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 Management in Banking Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Fraud Management in Banking Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Solution
    • 5.2.2. Service

Chapter 6. Global Fraud Management in Banking Market Size & Forecasts by Fraud Type 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Fraud Management in Banking Market: Fraud Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Payment Fraud
    • 6.2.2. Loan Fraud
    • 6.2.3. Identity Theft
    • 6.2.4. Money Laundering
    • 6.2.5. Others

Chapter 7. Global Fraud Management in Banking Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Fraud Management in Banking Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Fraud Detection and Prevention Systems
    • 7.2.2. Identity and Access Management (IAM)
    • 7.2.3. Customer Authentication
    • 7.2.4. Transaction Monitoring
    • 7.2.5. Others

Chapter 8. Global Fraud Management in Banking Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Fraud Management in Banking Market
    • 8.1.1. U.S. Fraud Management in Banking Market
      • 8.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Fraud Type breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Application breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Fraud Management in Banking Market
      • 8.1.2.1. Component breakdown size & forecasts, 2022-2032
      • 8.1.2.2. Fraud Type breakdown size & forecasts, 2022-2032
      • 8.1.2.3. Application breakdown size & forecasts, 2022-2032
  • 8.2. Europe Fraud Management in Banking Market
    • 8.2.1. U.K. Fraud Management in Banking Market
    • 8.2.2. Germany Fraud Management in Banking Market
    • 8.2.3. France Fraud Management in Banking Market
    • 8.2.4. Spain Fraud Management in Banking Market
    • 8.2.5. Italy Fraud Management in Banking Market
    • 8.2.6. Rest of Europe Fraud Management in Banking Market
  • 8.3. Asia-Pacific Fraud Management in Banking Market
    • 8.3.1. China Fraud Management in Banking Market
    • 8.3.2. India Fraud Management in Banking Market
    • 8.3.3. Japan Fraud Management in Banking Market
    • 8.3.4. Australia Fraud Management in Banking Market
    • 8.3.5. South Korea Fraud Management in Banking Market
    • 8.3.6. Rest of Asia Pacific Fraud Management in Banking Market
  • 8.4. Latin America Fraud Management in Banking Market
    • 8.4.1. Brazil Fraud Management in Banking Market
    • 8.4.2. Mexico Fraud Management in Banking Market
    • 8.4.3. Rest of Latin America Fraud Management in Banking Market
  • 8.5. Middle East & Africa Fraud Management in Banking Market
    • 8.5.1. Saudi Arabia Fraud Management in Banking Market
    • 8.5.2. South Africa Fraud Management in Banking Market
    • 8.5.3. Rest of Middle East & Africa Fraud Management in Banking Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. IBM Corporation
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. NICE Actimize
    • 9.3.3. LexisNexis Risk Solutions
    • 9.3.4. Experian PLC
    • 9.3.5. ACI Worldwide Inc
    • 9.3.6. SAS Institute Inc
    • 9.3.7. SAP SE
    • 9.3.8. BioCatch Ltd
    • 9.3.9. FIS Global
    • 9.3.10. BAE Systems

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes
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