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2023
Payment Card Skimming Market

Payment Card Skimming Market

by Component (Solution, Authentication, Services), by Application (Identity Theft, Payment Fraud, Money Laundering), by Organization Size (Small Enterprise, Medium Enterprise, Large Enterprise) and by Deployment (Cloud-based, On-Premises): Global Opportunity Analysis and Industry Forecast, 2023-2032

BI : IT in BFSI
Report Code: A10030
Nov 2023 | Pages: NA
Tables: NA
Charts: NA

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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Payment Card Skimming Market Outlook - 2027

The payment card skimming is a procedure of identifying, controlling, and assessing risks such as identity theft, payment fraud & other risks associated for consumers using credit or debit cards during any financial transaction. Risk could be generated from numerous sourced such as digital theft, financial uncertainty and other variety of application for the skimming. 

Furthermore, payment card skimming is a type of software, which is used by the financial institutions to efficiently & effectively manage different kind of risks associated with the cards. Moreover, the risk is measured through transaction processes which further helps in providing insightful action plans for the real-time payment card skimming. Therefore, the demand for risk management during any online or offline card transaction is expected to boost the market growth for the global payment card skimming in the near future.

The global payment card skimming market is segmented on the basis of component, application, organization size, deployment, and region. Based on component, the payment card skimming market is divided into solution and services. The solution segment is further divided into fraud analytics, authentication, governance, risk & compliance solution (GRC) and others. In terms of fraud analytics, the market is divided into predictive analytics, descriptive analytics, social media analytics, big data analytics. The authentication is further divided into single factor authentication (SFA), multi factor authentication (MFA), risk based authentication (RBA). The services segment is also further categorized into Professional Services, Managed Service. 

On the basis of professional services, the market is divided into consulting, training & education, support & maintenance. In terms of application, the market is divided into identity theft, payment fraud, money laundering. The payment fraud segment is further divided into electronic payment fraud, mobile payment fraud, credit & debit card fraud. The organization size is further categorized into small enterprise, medium enterprise, and large enterprise. Also, the deployment is further categorized into cloud-based and on-premises. Geographically, the market is analyzed across several regions such as North America, Europe, Asia-Pacific, and Latin America, Middle East & Africa (LAMEA).

Key players operating in the global payment card skimming industry include Fiserv Inc., Riskskill Inc., Quercia Software, C2C Smartcompliance, Complianceforge, Investedge, Matrix IFS, NASDAQ BWISE, Rivial Data Security And Sesame Software. These companies have adopted several strategies such as product launches, partnerships, collaborations, mergers & acquisitions, and joint ventures to strengthen their foothold in the global payment card skimming market. 

COVID-19 Scenario Analysis

  • During the COVID-19 outbreak, majority of companies have witnessed a severe decline in the payment card skimming market trends, however, the payment card skimming industry had a positive impact during the crisis owing to the government declared lockdown which in turn allowed consumer to use the online banking for every day-to-day transaction.
  • Majority of financial institutions & banks have introduced attractive banking benefits such as cashbacks, gift cards, and others to support the consumers towards adoption of the digital payment. Moreover, the online payment transactions become secured & convenient for the consumers amid the coronavirus pandemic situation.

Top Impacting Factors

Increase in data & security breaches through the card transactions, rise in stringent government regulatory compliances, and surge in adoption of digital transaction using cards are driving the growth of the market. However, unavailability of skilled cybersecurity employees to secure the transaction is expected to hamper the growth of the market. Contrarily, integration of artificial intelligence in payment card skimming can be seen as an opportunity for the market investments.

Surge in Adoption of Digital Transaction Using Cards

With increasing number of digital transactions, the fraudulent activities have been parallelly rising during the transaction. The online e-commerce businesses have been relying mainly on the digital transactions for the payment of the goods & services which are being purchased. Furthermore, payment card skimming is an important problem associated with the digital payments where the consumer needs the assurance from the banking institutions. 

Moreover, owing to the security concerns which arise during the online card transaction, the payment card skimming is majorly required in the financial sector. Therefore, the surge in adoption of digital transaction using cards, will foster the growth for the global payment card skimming market during the forecast period.

Unavailability of Skilled Cybersecurity Employees to Secure Transactions

The financial organizations are facing major issues due to the lack of skilled professional to deal with the fraudulent activities relating to the card transactions. Furthermore, the cybersecurity professionals which are hired by the organizations lack the right qualification to analyze the loopholes during a cyber-attack. 

Moreover, the inability of the professionals to perform the independent tasks during the audits are adding the issues for the financial sector. Therefore, organizations are finding it difficult to hire employees for managing the payment card skimming. Therefore, unavailability of skilled cybersecurity employees to secure transactions is major hampering factor for the market.

Key Benefits of the Report

  • This study presents analytical depiction of the global payment card skimming market forecast along with the current trends and future estimations to determine the imminent investment pockets.    
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the payment card skimming market share.     
  • The current market is quantitatively analyzed to highlight the global payment card skimming market growth scenario.         
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.    
  • The report provides a detailed payment card skimming market analysis based on the present and future competitive intensity of the market.

Questions Answered in the Payment Card Skimming Market Research Report    

  • Who are the leading market players active in the global payment card skimming market size?
  • What would be the detailed impact of COVID-19 on the global payment card skimming market?
  • What current trends would influence the market in the next few years?
  • What are the driving factors, restraints, and opportunities in the global payment card skimming market?
  • What are the projections for the future that would help in taking further strategic steps? 

 Payment Card Skimming Market Report Highlights

Aspects Details
By Component
  • Solution
  • Authentication
  • Services
By Application
  • Identity Theft
  • Payment Fraud
  • Money Laundering
By Organization Size
  • Small Enterprise
  • Medium Enterprise
  • Large Enterprise
By Deployment
  • Cloud-based
  • On-Premises
By Region
  • North America  (U.S., Canada)
  • Europe  (UK, Germany, France, Spain, Italy, Rest of Europe)
  • Asia-Pacific  (China, Japan, India, Australia, South Korea, Rest of Asia-Pacific)
  • LAMEA  (Latin America, Middle East, Africa)
Key Market Players Matrix IFS, Complianceforge, C2C Smartcompliance, Investedge, Sesame Software, Fiserv Inc., NASDAQ BWISE, Rivial Data Security, Riskskill Inc., Quercia Software
 

  • CHAPTER 1: INTRODUCTION

    • 1.1. Report Description

    • 1.2. Key Market Segments

    • 1.3. Key Benefits

    • 1.4. Research Methodology

      • 1.4.1. Primary Research

      • 1.4.2. Secondary Research

      • 1.4.3. Analyst Tools and Models

  • CHAPTER 2: EXECUTIVE SUMMARY

    • 2.1. CXO Perspective

  • CHAPTER 3: MARKET LANDSCAPE

    • 3.1. Market Definition and Scope

    • 3.2. Key Findings

      • 3.2.1. Top Investment Pockets

      • 3.2.2. Top Winning Strategies

    • 3.3. Porter's Five Forces Analysis

      • 3.3.1. Bargaining Power of Suppliers

      • 3.3.2. Threat of New Entrants

      • 3.3.3. Threat of Substitutes

      • 3.3.4. Competitive Rivalry

      • 3.3.5. Bargaining Power among Buyers

    • 3.5. Market Dynamics

      • 3.5.1. Drivers

      • 3.5.2. Restraints

      • 3.5.3. Opportunities

    • 3.6. COVID-19 Impact Analysis

  • CHAPTER 4: PAYMENT CARD SKIMMING MARKET, BY COMPONENT

    • 4.1. Market Overview

      • 4.1.1 Market Size and Forecast, By Component

    • 4.2. Solution

      • 4.2.1. Key Market Trends, Growth Factors and Opportunities

      • 4.2.2. Market Size and Forecast, By Region

      • 4.2.3. Market Share Analysis, By Country

    • 4.3. Authentication

      • 4.3.1. Key Market Trends, Growth Factors and Opportunities

      • 4.3.2. Market Size and Forecast, By Region

      • 4.3.3. Market Share Analysis, By Country

    • 4.4. Services

      • 4.4.1. Key Market Trends, Growth Factors and Opportunities

      • 4.4.2. Market Size and Forecast, By Region

      • 4.4.3. Market Share Analysis, By Country

  • CHAPTER 5: PAYMENT CARD SKIMMING MARKET, BY APPLICATION

    • 5.1. Market Overview

      • 5.1.1 Market Size and Forecast, By Application

    • 5.2. Identity Theft

      • 5.2.1. Key Market Trends, Growth Factors and Opportunities

      • 5.2.2. Market Size and Forecast, By Region

      • 5.2.3. Market Share Analysis, By Country

    • 5.3. Payment Fraud

      • 5.3.1. Key Market Trends, Growth Factors and Opportunities

      • 5.3.2. Market Size and Forecast, By Region

      • 5.3.3. Market Share Analysis, By Country

    • 5.4. Money Laundering

      • 5.4.1. Key Market Trends, Growth Factors and Opportunities

      • 5.4.2. Market Size and Forecast, By Region

      • 5.4.3. Market Share Analysis, By Country

  • CHAPTER 6: PAYMENT CARD SKIMMING MARKET, BY ORGANIZATION SIZE

    • 6.1. Market Overview

      • 6.1.1 Market Size and Forecast, By Organization Size

    • 6.2. Small Enterprise

      • 6.2.1. Key Market Trends, Growth Factors and Opportunities

      • 6.2.2. Market Size and Forecast, By Region

      • 6.2.3. Market Share Analysis, By Country

    • 6.3. Medium Enterprise

      • 6.3.1. Key Market Trends, Growth Factors and Opportunities

      • 6.3.2. Market Size and Forecast, By Region

      • 6.3.3. Market Share Analysis, By Country

    • 6.4. Large Enterprise

      • 6.4.1. Key Market Trends, Growth Factors and Opportunities

      • 6.4.2. Market Size and Forecast, By Region

      • 6.4.3. Market Share Analysis, By Country

  • CHAPTER 7: PAYMENT CARD SKIMMING MARKET, BY DEPLOYMENT

    • 7.1. Market Overview

      • 7.1.1 Market Size and Forecast, By Deployment

    • 7.2. Cloud-based

      • 7.2.1. Key Market Trends, Growth Factors and Opportunities

      • 7.2.2. Market Size and Forecast, By Region

      • 7.2.3. Market Share Analysis, By Country

    • 7.3. On-Premises

      • 7.3.1. Key Market Trends, Growth Factors and Opportunities

      • 7.3.2. Market Size and Forecast, By Region

      • 7.3.3. Market Share Analysis, By Country

  • CHAPTER 8: PAYMENT CARD SKIMMING MARKET, BY REGION

    • 8.1. Market Overview

      • 8.1.1 Market Size and Forecast, By Region

    • 8.2. North America

      • 8.2.1. Key Market Trends and Opportunities

      • 8.2.2. Market Size and Forecast, By Component

      • 8.2.3. Market Size and Forecast, By Application

      • 8.2.4. Market Size and Forecast, By Organization Size

      • 8.2.5. Market Size and Forecast, By Deployment

      • 8.2.6. Market Size and Forecast, By Country

      • 8.2.7. U.S. Payment Card Skimming Market

        • 8.2.7.1. Market Size and Forecast, By Component
        • 8.2.7.2. Market Size and Forecast, By Application
        • 8.2.7.3. Market Size and Forecast, By Organization Size
        • 8.2.7.4. Market Size and Forecast, By Deployment

      • 8.2.8. Canada Payment Card Skimming Market

        • 8.2.8.1. Market Size and Forecast, By Component
        • 8.2.8.2. Market Size and Forecast, By Application
        • 8.2.8.3. Market Size and Forecast, By Organization Size
        • 8.2.8.4. Market Size and Forecast, By Deployment

      • 8.2.9. Mexico Payment Card Skimming Market

        • 8.2.9.1. Market Size and Forecast, By Component
        • 8.2.9.2. Market Size and Forecast, By Application
        • 8.2.9.3. Market Size and Forecast, By Organization Size
        • 8.2.9.4. Market Size and Forecast, By Deployment

    • 8.3. Europe

      • 8.3.1. Key Market Trends and Opportunities

      • 8.3.2. Market Size and Forecast, By Component

      • 8.3.3. Market Size and Forecast, By Application

      • 8.3.4. Market Size and Forecast, By Organization Size

      • 8.3.5. Market Size and Forecast, By Deployment

      • 8.3.6. Market Size and Forecast, By Country

      • 8.3.7. France Payment Card Skimming Market

        • 8.3.7.1. Market Size and Forecast, By Component
        • 8.3.7.2. Market Size and Forecast, By Application
        • 8.3.7.3. Market Size and Forecast, By Organization Size
        • 8.3.7.4. Market Size and Forecast, By Deployment

      • 8.3.8. Germany Payment Card Skimming Market

        • 8.3.8.1. Market Size and Forecast, By Component
        • 8.3.8.2. Market Size and Forecast, By Application
        • 8.3.8.3. Market Size and Forecast, By Organization Size
        • 8.3.8.4. Market Size and Forecast, By Deployment

      • 8.3.9. Italy Payment Card Skimming Market

        • 8.3.9.1. Market Size and Forecast, By Component
        • 8.3.9.2. Market Size and Forecast, By Application
        • 8.3.9.3. Market Size and Forecast, By Organization Size
        • 8.3.9.4. Market Size and Forecast, By Deployment

      • 8.3.10. Spain Payment Card Skimming Market

        • 8.3.10.1. Market Size and Forecast, By Component
        • 8.3.10.2. Market Size and Forecast, By Application
        • 8.3.10.3. Market Size and Forecast, By Organization Size
        • 8.3.10.4. Market Size and Forecast, By Deployment

      • 8.3.11. UK Payment Card Skimming Market

        • 8.3.11.1. Market Size and Forecast, By Component
        • 8.3.11.2. Market Size and Forecast, By Application
        • 8.3.11.3. Market Size and Forecast, By Organization Size
        • 8.3.11.4. Market Size and Forecast, By Deployment

      • 8.3.12. Russia Payment Card Skimming Market

        • 8.3.12.1. Market Size and Forecast, By Component
        • 8.3.12.2. Market Size and Forecast, By Application
        • 8.3.12.3. Market Size and Forecast, By Organization Size
        • 8.3.12.4. Market Size and Forecast, By Deployment

      • 8.3.13. Rest Of Europe Payment Card Skimming Market

        • 8.3.13.1. Market Size and Forecast, By Component
        • 8.3.13.2. Market Size and Forecast, By Application
        • 8.3.13.3. Market Size and Forecast, By Organization Size
        • 8.3.13.4. Market Size and Forecast, By Deployment

    • 8.4. Asia-Pacific

      • 8.4.1. Key Market Trends and Opportunities

      • 8.4.2. Market Size and Forecast, By Component

      • 8.4.3. Market Size and Forecast, By Application

      • 8.4.4. Market Size and Forecast, By Organization Size

      • 8.4.5. Market Size and Forecast, By Deployment

      • 8.4.6. Market Size and Forecast, By Country

      • 8.4.7. China Payment Card Skimming Market

        • 8.4.7.1. Market Size and Forecast, By Component
        • 8.4.7.2. Market Size and Forecast, By Application
        • 8.4.7.3. Market Size and Forecast, By Organization Size
        • 8.4.7.4. Market Size and Forecast, By Deployment

      • 8.4.8. Japan Payment Card Skimming Market

        • 8.4.8.1. Market Size and Forecast, By Component
        • 8.4.8.2. Market Size and Forecast, By Application
        • 8.4.8.3. Market Size and Forecast, By Organization Size
        • 8.4.8.4. Market Size and Forecast, By Deployment

      • 8.4.9. India Payment Card Skimming Market

        • 8.4.9.1. Market Size and Forecast, By Component
        • 8.4.9.2. Market Size and Forecast, By Application
        • 8.4.9.3. Market Size and Forecast, By Organization Size
        • 8.4.9.4. Market Size and Forecast, By Deployment

      • 8.4.10. South Korea Payment Card Skimming Market

        • 8.4.10.1. Market Size and Forecast, By Component
        • 8.4.10.2. Market Size and Forecast, By Application
        • 8.4.10.3. Market Size and Forecast, By Organization Size
        • 8.4.10.4. Market Size and Forecast, By Deployment

      • 8.4.11. Australia Payment Card Skimming Market

        • 8.4.11.1. Market Size and Forecast, By Component
        • 8.4.11.2. Market Size and Forecast, By Application
        • 8.4.11.3. Market Size and Forecast, By Organization Size
        • 8.4.11.4. Market Size and Forecast, By Deployment

      • 8.4.12. Thailand Payment Card Skimming Market

        • 8.4.12.1. Market Size and Forecast, By Component
        • 8.4.12.2. Market Size and Forecast, By Application
        • 8.4.12.3. Market Size and Forecast, By Organization Size
        • 8.4.12.4. Market Size and Forecast, By Deployment

      • 8.4.13. Malaysia Payment Card Skimming Market

        • 8.4.13.1. Market Size and Forecast, By Component
        • 8.4.13.2. Market Size and Forecast, By Application
        • 8.4.13.3. Market Size and Forecast, By Organization Size
        • 8.4.13.4. Market Size and Forecast, By Deployment

      • 8.4.14. Indonesia Payment Card Skimming Market

        • 8.4.14.1. Market Size and Forecast, By Component
        • 8.4.14.2. Market Size and Forecast, By Application
        • 8.4.14.3. Market Size and Forecast, By Organization Size
        • 8.4.14.4. Market Size and Forecast, By Deployment

      • 8.4.15. Rest of Asia Pacific Payment Card Skimming Market

        • 8.4.15.1. Market Size and Forecast, By Component
        • 8.4.15.2. Market Size and Forecast, By Application
        • 8.4.15.3. Market Size and Forecast, By Organization Size
        • 8.4.15.4. Market Size and Forecast, By Deployment

    • 8.5. LAMEA

      • 8.5.1. Key Market Trends and Opportunities

      • 8.5.2. Market Size and Forecast, By Component

      • 8.5.3. Market Size and Forecast, By Application

      • 8.5.4. Market Size and Forecast, By Organization Size

      • 8.5.5. Market Size and Forecast, By Deployment

      • 8.5.6. Market Size and Forecast, By Country

      • 8.5.7. Brazil Payment Card Skimming Market

        • 8.5.7.1. Market Size and Forecast, By Component
        • 8.5.7.2. Market Size and Forecast, By Application
        • 8.5.7.3. Market Size and Forecast, By Organization Size
        • 8.5.7.4. Market Size and Forecast, By Deployment

      • 8.5.8. South Africa Payment Card Skimming Market

        • 8.5.8.1. Market Size and Forecast, By Component
        • 8.5.8.2. Market Size and Forecast, By Application
        • 8.5.8.3. Market Size and Forecast, By Organization Size
        • 8.5.8.4. Market Size and Forecast, By Deployment

      • 8.5.9. Saudi Arabia Payment Card Skimming Market

        • 8.5.9.1. Market Size and Forecast, By Component
        • 8.5.9.2. Market Size and Forecast, By Application
        • 8.5.9.3. Market Size and Forecast, By Organization Size
        • 8.5.9.4. Market Size and Forecast, By Deployment

      • 8.5.10. UAE Payment Card Skimming Market

        • 8.5.10.1. Market Size and Forecast, By Component
        • 8.5.10.2. Market Size and Forecast, By Application
        • 8.5.10.3. Market Size and Forecast, By Organization Size
        • 8.5.10.4. Market Size and Forecast, By Deployment

      • 8.5.11. Argentina Payment Card Skimming Market

        • 8.5.11.1. Market Size and Forecast, By Component
        • 8.5.11.2. Market Size and Forecast, By Application
        • 8.5.11.3. Market Size and Forecast, By Organization Size
        • 8.5.11.4. Market Size and Forecast, By Deployment

      • 8.5.12. Rest of LAMEA Payment Card Skimming Market

        • 8.5.12.1. Market Size and Forecast, By Component
        • 8.5.12.2. Market Size and Forecast, By Application
        • 8.5.12.3. Market Size and Forecast, By Organization Size
        • 8.5.12.4. Market Size and Forecast, By Deployment

  • CHAPTER 9: COMPETITIVE LANDSCAPE

    • 9.1. Introduction

    • 9.2. Top Winning Strategies

    • 9.3. Product Mapping Of Top 10 Player

    • 9.4. Competitive Dashboard

    • 9.5. Competitive Heatmap

    • 9.6. Top Player Positioning,2022

  • CHAPTER 10: COMPANY PROFILES

    • 10.1. Fiserv Inc.

      • 10.1.1. Company Overview

      • 10.1.2. Key Executives

      • 10.1.3. Company Snapshot

      • 10.1.4. Operating Business Segments

      • 10.1.5. Product Portfolio

      • 10.1.6. Business Performance

      • 10.1.7. Key Strategic Moves and Developments

    • 10.2. Riskskill Inc.

      • 10.2.1. Company Overview

      • 10.2.2. Key Executives

      • 10.2.3. Company Snapshot

      • 10.2.4. Operating Business Segments

      • 10.2.5. Product Portfolio

      • 10.2.6. Business Performance

      • 10.2.7. Key Strategic Moves and Developments

    • 10.3. Quercia Software

      • 10.3.1. Company Overview

      • 10.3.2. Key Executives

      • 10.3.3. Company Snapshot

      • 10.3.4. Operating Business Segments

      • 10.3.5. Product Portfolio

      • 10.3.6. Business Performance

      • 10.3.7. Key Strategic Moves and Developments

    • 10.4. C2C Smartcompliance

      • 10.4.1. Company Overview

      • 10.4.2. Key Executives

      • 10.4.3. Company Snapshot

      • 10.4.4. Operating Business Segments

      • 10.4.5. Product Portfolio

      • 10.4.6. Business Performance

      • 10.4.7. Key Strategic Moves and Developments

    • 10.5. Complianceforge

      • 10.5.1. Company Overview

      • 10.5.2. Key Executives

      • 10.5.3. Company Snapshot

      • 10.5.4. Operating Business Segments

      • 10.5.5. Product Portfolio

      • 10.5.6. Business Performance

      • 10.5.7. Key Strategic Moves and Developments

    • 10.6. Investedge

      • 10.6.1. Company Overview

      • 10.6.2. Key Executives

      • 10.6.3. Company Snapshot

      • 10.6.4. Operating Business Segments

      • 10.6.5. Product Portfolio

      • 10.6.6. Business Performance

      • 10.6.7. Key Strategic Moves and Developments

    • 10.7. Matrix IFS

      • 10.7.1. Company Overview

      • 10.7.2. Key Executives

      • 10.7.3. Company Snapshot

      • 10.7.4. Operating Business Segments

      • 10.7.5. Product Portfolio

      • 10.7.6. Business Performance

      • 10.7.7. Key Strategic Moves and Developments

    • 10.8. NASDAQ BWISE

      • 10.8.1. Company Overview

      • 10.8.2. Key Executives

      • 10.8.3. Company Snapshot

      • 10.8.4. Operating Business Segments

      • 10.8.5. Product Portfolio

      • 10.8.6. Business Performance

      • 10.8.7. Key Strategic Moves and Developments

    • 10.9. Rivial Data Security

      • 10.9.1. Company Overview

      • 10.9.2. Key Executives

      • 10.9.3. Company Snapshot

      • 10.9.4. Operating Business Segments

      • 10.9.5. Product Portfolio

      • 10.9.6. Business Performance

      • 10.9.7. Key Strategic Moves and Developments

    • 10.10. Sesame Software

      • 10.10.1. Company Overview

      • 10.10.2. Key Executives

      • 10.10.3. Company Snapshot

      • 10.10.4. Operating Business Segments

      • 10.10.5. Product Portfolio

      • 10.10.6. Business Performance

      • 10.10.7. Key Strategic Moves and Developments

  • LIST OF TABLES

  • TABLE 1. GLOBAL PAYMENT CARD SKIMMING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 2. GLOBAL PAYMENT CARD SKIMMING MARKET FOR SOLUTION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 3. GLOBAL PAYMENT CARD SKIMMING MARKET FOR AUTHENTICATION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 4. GLOBAL PAYMENT CARD SKIMMING MARKET FOR SERVICES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 5. GLOBAL PAYMENT CARD SKIMMING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 6. GLOBAL PAYMENT CARD SKIMMING MARKET FOR IDENTITY THEFT, BY REGION, 2022-2032 ($MILLION)
  • TABLE 7. GLOBAL PAYMENT CARD SKIMMING MARKET FOR PAYMENT FRAUD, BY REGION, 2022-2032 ($MILLION)
  • TABLE 8. GLOBAL PAYMENT CARD SKIMMING MARKET FOR MONEY LAUNDERING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 9. GLOBAL PAYMENT CARD SKIMMING MARKET, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 10. GLOBAL PAYMENT CARD SKIMMING MARKET FOR SMALL ENTERPRISE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 11. GLOBAL PAYMENT CARD SKIMMING MARKET FOR MEDIUM ENTERPRISE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 12. GLOBAL PAYMENT CARD SKIMMING MARKET FOR LARGE ENTERPRISE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 13. GLOBAL PAYMENT CARD SKIMMING MARKET, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 14. GLOBAL PAYMENT CARD SKIMMING MARKET FOR CLOUD-BASED, BY REGION, 2022-2032 ($MILLION)
  • TABLE 15. GLOBAL PAYMENT CARD SKIMMING MARKET FOR ON-PREMISES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 16. GLOBAL PAYMENT CARD SKIMMING MARKET, BY REGION, 2022-2032 ($MILLION)
  • TABLE 17. NORTH AMERICA PAYMENT CARD SKIMMING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 18. NORTH AMERICA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 19. NORTH AMERICA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 20. NORTH AMERICA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 21. NORTH AMERICA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 22. U.S. PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 23. U.S. PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 24. U.S. PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 25. U.S. PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 26. CANADA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 27. CANADA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 28. CANADA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 29. CANADA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 30. MEXICO PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 31. MEXICO PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 32. MEXICO PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 33. MEXICO PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 34. EUROPE PAYMENT CARD SKIMMING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 35. EUROPE PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 36. EUROPE PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 37. EUROPE PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 38. EUROPE PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 39. FRANCE PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 40. FRANCE PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 41. FRANCE PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 42. FRANCE PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 43. GERMANY PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 44. GERMANY PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 45. GERMANY PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 46. GERMANY PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 47. ITALY PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 48. ITALY PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 49. ITALY PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 50. ITALY PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 51. SPAIN PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 52. SPAIN PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 53. SPAIN PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 54. SPAIN PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 55. UK PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 56. UK PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 57. UK PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 58. UK PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 59. RUSSIA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 60. RUSSIA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 61. RUSSIA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 62. RUSSIA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 63. REST OF EUROPE PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 64. REST OF EUROPE PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 65. REST OF EUROPE PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 66. REST OF EUROPE PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 67. ASIA-PACIFIC PAYMENT CARD SKIMMING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 68. ASIA-PACIFIC PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 69. ASIA-PACIFIC PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 70. ASIA-PACIFIC PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 71. ASIA-PACIFIC PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 72. CHINA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 73. CHINA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 74. CHINA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 75. CHINA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 76. JAPAN PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 77. JAPAN PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 78. JAPAN PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 79. JAPAN PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 80. INDIA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 81. INDIA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 82. INDIA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 83. INDIA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 84. SOUTH KOREA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 85. SOUTH KOREA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 86. SOUTH KOREA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 87. SOUTH KOREA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 88. AUSTRALIA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 89. AUSTRALIA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 90. AUSTRALIA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 91. AUSTRALIA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 92. THAILAND PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 93. THAILAND PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 94. THAILAND PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 95. THAILAND PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 96. MALAYSIA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 97. MALAYSIA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 98. MALAYSIA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 99. MALAYSIA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 100. INDONESIA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 101. INDONESIA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 102. INDONESIA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 103. INDONESIA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 104. REST OF ASIA PACIFIC PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 105. REST OF ASIA PACIFIC PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 106. REST OF ASIA PACIFIC PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 107. REST OF ASIA PACIFIC PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 108. LAMEA PAYMENT CARD SKIMMING, BY REGION, 2022-2032 ($MILLION)
  • TABLE 109. LAMEA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 110. LAMEA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 111. LAMEA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 112. LAMEA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 113. BRAZIL PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 114. BRAZIL PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 115. BRAZIL PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 116. BRAZIL PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 117. SOUTH AFRICA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 118. SOUTH AFRICA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 119. SOUTH AFRICA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 120. SOUTH AFRICA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 121. SAUDI ARABIA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 122. SAUDI ARABIA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 123. SAUDI ARABIA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 124. SAUDI ARABIA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 125. UAE PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 126. UAE PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 127. UAE PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 128. UAE PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 129. ARGENTINA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 130. ARGENTINA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 131. ARGENTINA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 132. ARGENTINA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 133. REST OF LAMEA PAYMENT CARD SKIMMING, BY COMPONENT, 2022-2032 ($MILLION)
  • TABLE 134. REST OF LAMEA PAYMENT CARD SKIMMING, BY APPLICATION, 2022-2032 ($MILLION)
  • TABLE 135. REST OF LAMEA PAYMENT CARD SKIMMING, BY ORGANIZATION SIZE, 2022-2032 ($MILLION)
  • TABLE 136. REST OF LAMEA PAYMENT CARD SKIMMING, BY DEPLOYMENT, 2022-2032 ($MILLION)
  • TABLE 137. FISERV INC.: KEY EXECUTIVES
  • TABLE 138. FISERV INC.: COMPANY SNAPSHOT
  • TABLE 139. FISERV INC.: OPERATING SEGMENTS
  • TABLE 140. FISERV INC.: PRODUCT PORTFOLIO
  • TABLE 141. FISERV INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 142. RISKSKILL INC.: KEY EXECUTIVES
  • TABLE 143. RISKSKILL INC.: COMPANY SNAPSHOT
  • TABLE 144. RISKSKILL INC.: OPERATING SEGMENTS
  • TABLE 145. RISKSKILL INC.: PRODUCT PORTFOLIO
  • TABLE 146. RISKSKILL INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 147. QUERCIA SOFTWARE: KEY EXECUTIVES
  • TABLE 148. QUERCIA SOFTWARE: COMPANY SNAPSHOT
  • TABLE 149. QUERCIA SOFTWARE: OPERATING SEGMENTS
  • TABLE 150. QUERCIA SOFTWARE: PRODUCT PORTFOLIO
  • TABLE 151. QUERCIA SOFTWARE: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 152. C2C SMARTCOMPLIANCE: KEY EXECUTIVES
  • TABLE 153. C2C SMARTCOMPLIANCE: COMPANY SNAPSHOT
  • TABLE 154. C2C SMARTCOMPLIANCE: OPERATING SEGMENTS
  • TABLE 155. C2C SMARTCOMPLIANCE: PRODUCT PORTFOLIO
  • TABLE 156. C2C SMARTCOMPLIANCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 157. COMPLIANCEFORGE: KEY EXECUTIVES
  • TABLE 158. COMPLIANCEFORGE: COMPANY SNAPSHOT
  • TABLE 159. COMPLIANCEFORGE: OPERATING SEGMENTS
  • TABLE 160. COMPLIANCEFORGE: PRODUCT PORTFOLIO
  • TABLE 161. COMPLIANCEFORGE: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 162. INVESTEDGE: KEY EXECUTIVES
  • TABLE 163. INVESTEDGE: COMPANY SNAPSHOT
  • TABLE 164. INVESTEDGE: OPERATING SEGMENTS
  • TABLE 165. INVESTEDGE: PRODUCT PORTFOLIO
  • TABLE 166. INVESTEDGE: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 167. MATRIX IFS: KEY EXECUTIVES
  • TABLE 168. MATRIX IFS: COMPANY SNAPSHOT
  • TABLE 169. MATRIX IFS: OPERATING SEGMENTS
  • TABLE 170. MATRIX IFS: PRODUCT PORTFOLIO
  • TABLE 171. MATRIX IFS: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 172. NASDAQ BWISE: KEY EXECUTIVES
  • TABLE 173. NASDAQ BWISE: COMPANY SNAPSHOT
  • TABLE 174. NASDAQ BWISE: OPERATING SEGMENTS
  • TABLE 175. NASDAQ BWISE: PRODUCT PORTFOLIO
  • TABLE 176. NASDAQ BWISE: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 177. RIVIAL DATA SECURITY: KEY EXECUTIVES
  • TABLE 178. RIVIAL DATA SECURITY: COMPANY SNAPSHOT
  • TABLE 179. RIVIAL DATA SECURITY: OPERATING SEGMENTS
  • TABLE 180. RIVIAL DATA SECURITY: PRODUCT PORTFOLIO
  • TABLE 181. RIVIAL DATA SECURITY: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 182. SESAME SOFTWARE: KEY EXECUTIVES
  • TABLE 183. SESAME SOFTWARE: COMPANY SNAPSHOT
  • TABLE 184. SESAME SOFTWARE: OPERATING SEGMENTS
  • TABLE 185. SESAME SOFTWARE: PRODUCT PORTFOLIO
  • TABLE 186. SESAME SOFTWARE: KEY STRATEGIC MOVES AND DEVELOPMENTS

  • LIST OF FIGURES

  • FIGURE 1. GLOBAL PAYMENT CARD SKIMMING MARKET SEGMENTATION
  • FIGURE 2. GLOBAL PAYMENT CARD SKIMMING MARKET
  • FIGURE 3. SEGMENTATION PAYMENT CARD SKIMMING MARKET
  • FIGURE 4. TOP INVESTMENT POCKET IN PAYMENT CARD SKIMMING MARKET
  • FIGURE 5. MODERATE BARGAINING POWER OF BUYERS
  • FIGURE 6. MODERATE BARGAINING POWER OF SUPPLIERS
  • FIGURE 7. MODERATE THREAT OF NEW ENTRANTS
  • FIGURE 8. LOW THREAT OF SUBSTITUTION
  • FIGURE 9. HIGH COMPETITIVE RIVALRY
  • FIGURE 10. OPPORTUNITIES, RESTRAINTS AND DRIVERS: GLOBALPAYMENT CARD SKIMMING MARKET
  • FIGURE 11. PAYMENT CARD SKIMMING MARKET SEGMENTATION, BY BY COMPONENT
  • FIGURE 12. PAYMENT CARD SKIMMING MARKET FOR SOLUTION, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 13. PAYMENT CARD SKIMMING MARKET FOR AUTHENTICATION, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 14. PAYMENT CARD SKIMMING MARKET FOR SERVICES, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 15. PAYMENT CARD SKIMMING MARKET SEGMENTATION, BY BY APPLICATION
  • FIGURE 16. PAYMENT CARD SKIMMING MARKET FOR IDENTITY THEFT, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 17. PAYMENT CARD SKIMMING MARKET FOR PAYMENT FRAUD, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 18. PAYMENT CARD SKIMMING MARKET FOR MONEY LAUNDERING, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 19. PAYMENT CARD SKIMMING MARKET SEGMENTATION, BY BY ORGANIZATION SIZE
  • FIGURE 20. PAYMENT CARD SKIMMING MARKET FOR SMALL ENTERPRISE, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 21. PAYMENT CARD SKIMMING MARKET FOR MEDIUM ENTERPRISE, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 22. PAYMENT CARD SKIMMING MARKET FOR LARGE ENTERPRISE, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 23. PAYMENT CARD SKIMMING MARKET SEGMENTATION, BY BY DEPLOYMENT
  • FIGURE 24. PAYMENT CARD SKIMMING MARKET FOR CLOUD-BASED, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 25. PAYMENT CARD SKIMMING MARKET FOR ON-PREMISES, BY COUNTRY, 2022-2032 ($MILLION)
  • FIGURE 26. TOP WINNING STRATEGIES, BY YEAR, 2020-2022*
  • FIGURE 27. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2020-2022*
  • FIGURE 28. TOP WINNING STRATEGIES, BY COMPANY, 2020-2022*
  • FIGURE 29. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 30. COMPETITIVE DASHBOARD
  • FIGURE 31. COMPETITIVE HEATMAP: PAYMENT CARD SKIMMING MARKET
  • FIGURE 32. Top player positioning, 2022
  • FIGURE 33. FISERV INC.: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 34. FISERV INC.: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 35. FISERV INC.: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 36. RISKSKILL INC.: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 37. RISKSKILL INC.: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 38. RISKSKILL INC.: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 39. QUERCIA SOFTWARE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 40. QUERCIA SOFTWARE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 41. QUERCIA SOFTWARE: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 42. C2C SMARTCOMPLIANCE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 43. C2C SMARTCOMPLIANCE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 44. C2C SMARTCOMPLIANCE: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 45. COMPLIANCEFORGE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 46. COMPLIANCEFORGE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 47. COMPLIANCEFORGE: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 48. INVESTEDGE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 49. INVESTEDGE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 50. INVESTEDGE: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 51. MATRIX IFS: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 52. MATRIX IFS: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 53. MATRIX IFS: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 54. NASDAQ BWISE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 55. NASDAQ BWISE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 56. NASDAQ BWISE: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 57. RIVIAL DATA SECURITY: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 58. RIVIAL DATA SECURITY: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 59. RIVIAL DATA SECURITY: REVENUE SHARE, BY REGION, 2032 (%)
  • FIGURE 60. SESAME SOFTWARE: NET SALES, 2020-2022 ($MILLION)
  • FIGURE 61. SESAME SOFTWARE: REVENUE SHARE, BY SEGMENT, 2032 (%)
  • FIGURE 62. SESAME SOFTWARE: REVENUE SHARE, BY REGION, 2032 (%)

 
 
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Why Allied Market Research?

Infallible Methodology

To ensure high-level data integrity, accurate analysis, and impeccable forecasts

Analyst Support

For complete satisfaction

Customization

On-demand customization of scope of the report to exactly meet your needs

TARGETED MARKET VIEW

Targeted market view to provide pertinent information and save time of readers