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Asia Pacific Payment Card Skimming Market Size, Share & Trends Analysis Report By Component, By Organization Size (Large Enterprise, and Small & Medium-Sized Enterprises), By Deployment Type (On-Premises, and Cloud), By Application, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 104 Pages
  • March 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5949431
The Asia Pacific Payment Card Skimming Market would witness market growth of 10.6% CAGR during the forecast period (2023-2030).

The China market dominated the Asia Pacific Payment Card Skimming Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $451.4 million by 2030. The Japan market is registering a CAGR of 9.9% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 11.2% during (2023 - 2030).



ML algorithms and artificial intelligence (AI) techniques are being deployed to analyze vast amounts of transaction data, detect patterns indicative of fraudulent activity, and identify anomalies or deviations from normal behavior. By leveraging machine learning and AI capabilities, financial institutions and payment processors can detect and prevent real-time skimming attacks, enabling proactive intervention and fraud mitigation.

Also, blockchain technology offers inherent security features, such as cryptographic encryption, decentralized consensus mechanisms, and immutable transaction records, making it resistant to tampering and fraud. By leveraging blockchain technology, payment systems can enhance transparency, traceability, and trust in financial transactions, reducing the risk of payment card skimming and enhancing the integrity of payment networks. Blockchain-based payment solutions offer enhanced security and resilience against cyber threats, providing consumers and businesses with greater confidence in the safety and reliability of digital payments.

With the rise in cyber scams, including phishing, identity theft, and online fraud, there is likely to be increased awareness among businesses and consumers in Singapore about the importance of cybersecurity measures, including protection against it. As per the State Council Information Office of the People's Republic of China, 2021 e-commerce transactions in China surged by 19.6%, reaching a transaction volume of 42.3 trillion yuan (approximately 6.15 trillion U.S. dollars). Additionally, China plans to designate 14 e-commerce industrial parks as e-commerce demonstration bases, bringing the total number to 155. Hence, the increasing e-commerce transactions and growing cybercrimes in the region propel the market's growth.

Based on Organization Size, the market is segmented into Large Enterprise, and Small & Medium-Sized Enterprises. Based on Deployment Type, the market is segmented into On-Premise, and Cloud. Based on Application, the market is segmented into Identity Theft, ATMs, Payment Fraud, Money Laundering, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

List of Key Companies Profiled

  • Fiserv, Inc. (Clover Network, Inc.)
  • InvestEdge, Inc. (Featheringill Capital)
  • C2C SmartCompliance LLC
  • Sesame Software (Speridian Technologies)
  • SAI360 Inc. (BWise)
  • Matrix IFS (Matrix Business IT)
  • Rivial Data Security LLC
  • Riskskill
  • Compliance Forge, LLC
  • NCR Atleos Corporation (NCR Corporation)

Market Report Segmentation

By Component
  • Solution
  • Services
By Organization Size
  • Large Enterprise
  • Small & Medium-Sized Enterprises
By Deployment Type
  • On-Premises
  • Cloud
By Application
  • Identity Theft
  • ATMs
  • Payment Fraud
  • Money Laundering
  • Others
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Payment Card Skimming Market, by Component
1.4.2 Asia Pacific Payment Card Skimming Market, by Organization Size
1.4.3 Asia Pacific Payment Card Skimming Market, by Deployment Type
1.4.4 Asia Pacific Payment Card Skimming Market, by Application
1.4.5 Asia Pacific Payment Card Skimming Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
3.3 Porter’s Five Forces Analysis
Chapter 4. Asia Pacific Payment Card Skimming Market, By Component
4.1 Asia Pacific Solution Market, By Country
4.2 Asia Pacific Services Market, By Country
Chapter 5. Asia Pacific Payment Card Skimming Market, By Organization Size
5.1 Asia Pacific Large Enterprise Market, By Country
5.2 Asia Pacific Small & Medium-Sized Enterprises Market, By Country
Chapter 6. Asia Pacific Payment Card Skimming Market, By Deployment Type
6.1 Asia Pacific On-Premise Market, By Country
6.2 Asia Pacific Cloud Market, By Country
Chapter 7. Asia Pacific Payment Card Skimming Market, By Application
7.1 Asia Pacific Identity Theft Market, By Country
7.2 Asia Pacific ATMs Market, By Country
7.3 Asia Pacific Payment Fraud Market, By Country
7.4 Asia Pacific Money Laundering Market, By Country
7.5 Asia Pacific Others Market, By Country
Chapter 8. Asia Pacific Payment Card Skimming Market, By Country
8.1 China Payment Card Skimming Market
8.1.1 China Payment Card Skimming Market, By Component
8.1.2 China Payment Card Skimming Market, By Organization Size
8.1.3 China Payment Card Skimming Market, By Deployment Type
8.1.4 China Payment Card Skimming Market, By Application
8.2 Japan Payment Card Skimming Market
8.2.1 Japan Payment Card Skimming Market, By Component
8.2.2 Japan Payment Card Skimming Market, By Organization Size
8.2.3 Japan Payment Card Skimming Market, By Deployment Type
8.2.4 Japan Payment Card Skimming Market, By Application
8.3 India Payment Card Skimming Market
8.3.1 India Payment Card Skimming Market, By Component
8.3.2 India Payment Card Skimming Market, By Organization Size
8.3.3 India Payment Card Skimming Market, By Deployment Type
8.3.4 India Payment Card Skimming Market, By Application
8.4 South Korea Payment Card Skimming Market
8.4.1 South Korea Payment Card Skimming Market, By Component
8.4.2 South Korea Payment Card Skimming Market, By Organization Size
8.4.3 South Korea Payment Card Skimming Market, By Deployment Type
8.4.4 South Korea Payment Card Skimming Market, By Application
8.5 Singapore Payment Card Skimming Market
8.5.1 Singapore Payment Card Skimming Market, By Component
8.5.2 Singapore Payment Card Skimming Market, By Organization Size
8.5.3 Singapore Payment Card Skimming Market, By Deployment Type
8.5.4 Singapore Payment Card Skimming Market, By Application
8.6 Malaysia Payment Card Skimming Market
8.6.1 Malaysia Payment Card Skimming Market, By Component
8.6.2 Malaysia Payment Card Skimming Market, By Organization Size
8.6.3 Malaysia Payment Card Skimming Market, By Deployment Type
8.6.4 Malaysia Payment Card Skimming Market, By Application
8.7 Rest of Asia Pacific Payment Card Skimming Market
8.7.1 Rest of Asia Pacific Payment Card Skimming Market, By Component
8.7.2 Rest of Asia Pacific Payment Card Skimming Market, By Organization Size
8.7.3 Rest of Asia Pacific Payment Card Skimming Market, By Deployment Type
8.7.4 Rest of Asia Pacific Payment Card Skimming Market, By Application
Chapter 9. Company Profiles
9.1 Fiserv, Inc.
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Recent strategies and developments:
9.1.4.1 Partnerships, Collaborations, and Agreements:
9.1.4.2 Acquisition and Mergers:
9.1.5 SWOT Analysis
9.2 InvestEdge, Inc. (Featheringill Capital)
9.2.1 Company Overview
9.3 C2C SmartCompliance LLC
9.3.1 Company Overview
9.3.2 Recent strategies and developments:
9.3.2.1 Product Launches and Product Expansions:
9.4 Sesame Software (Speridian Technologies)
9.4.1 Company Overview
9.5 SAI360 Inc. (BWise)
9.5.1 Company Overview
9.5.2 Recent strategies and developments:
9.5.2.1 Product Launches and Product Expansions:
9.5.3 SWOT Analysis
9.6 Matrix IFS (Matrix Business IT)
9.6.1 Company Overview
9.7 Rivial Data Security LLC
9.7.1 Company Overview
9.7.2 SWOT Analysis
9.8 Riskskill
9.8.1 Company Overview
9.9 Compliance Forge, LLC
9.9.1 Company Overview
9.10. NCR Atleos Corporation (NCR Corporation)
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 SWOT Analysis

Companies Mentioned

  • Fiserv, Inc. (Clover Network, Inc.)
  • InvestEdge, Inc. (Featheringill Capital)
  • C2C SmartCompliance LLC
  • Sesame Software (Speridian Technologies)
  • SAI360 Inc. (BWise)
  • Matrix IFS (Matrix Business IT)
  • Rivial Data Security LLC
  • Riskskill
  • Compliance Forge, LLC
  • NCR Atleos Corporation (NCR Corporation)

Methodology

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