Global Virtual Cards
Global Virtual Cards

Virtual Cards Comprehensive Study by Type (B2B Virtual Cards, B2C Remote Payment Virtual Cards, B2C POS Virtual Cards), Application (Consumer Use, Business Use, Other), Technology (Wi-Fi, API), End User (Food, Beverage, Wine, Spirits, Household, Personal Care, Promotional, Industrial, Medical, Games and Sweepstakes, Nutraceuticals) Players and Region - Global Market Outlook to 2025

Virtual Cards Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Mar 2020 Edition 208 Pages 196 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Virtual Cards Market Scope
Virtual Cards are the online cards that are not physically offered by any kind of credit/debit provider. These virtual cards help to safely and securely do a transaction on one's smartphones. With the adoption of many technological advancements, the concept of Digi-money has changed the way of the transaction as well as our dependency on plastic money. For instance, the concept of making smartphones a wallet has also boosted the market across the world. It is seen that the Virtual Debit Card is offered for free when they open an Axis ASAP account, which is a digital savings account. If you shop online, this virtual debit card is perfect for you. With the ongoing trend of digitalization, these virtual cards play an important role in flourishing market dynamics.

The market study is being classified by Type (B2B Virtual Cards, B2C Remote Payment Virtual Cards and B2C POS Virtual Cards), by Application (Consumer Use, Business Use and Other) and major geographies with country level break-up.

Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Virtual Cards market throughout the predicted period.

Abine (United States), American Express (United States), Billtrust (United States), Cryptopay (United Kingdom), CSI (Corporate Spending Innovations) (United States), DiviPay (Australia), Emburse (United States), Fraedom (United Kingdom), JP Morgan Chase (United States), Marqeta (United States), Mastercard (United States), Mineraltree (United States) and Pay with Privacy (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Token (United States), Wex (United States), Wirecard (Germany), Stripe (Germany), Qonto (France) and Skrill (United Kingdom).

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Virtual Cards market by Type, Application and Region.

On the basis of geography, the market of Virtual Cards has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

Market Leaders and their expansionary development strategies
In February, UATP and Conferma Pay announced a partnership to bring virtual card payment technology to airlines and agencies. The solution, powered by Conferma Pay, gives UATP’s customers the option to use virtual payments with all major global distribution systems, more than 100 booking tools, and 500 travel management companies.
Troovo recently launched modular robotics process automation tools that allow TMCs to digest what can be complex corporate policy and configuration rules around virtual card generation and automatically traffic bookings to the appropriate payment solution, including virtual cards.


Market Trend
  • The Rising Advancements of these Cards is Also Booming the Market

Market Drivers
  • High Proliferation of Smartphones
  • Worldwide Initiatives for the Promotion of Virtual Cards

Opportunities
  • The rising benefits of these cards to prevent a card from being used anywhere but where you specify, cancel or pause a card at any time, set spending limits, make purchases with masked bank account descriptions, create cards in seconds with zero activation required, and auto-expire your cards after a period of time.

Restraints
  • Limited Availability of these Card
  • Can't be Operated Anywhere

Challenges
  • Risk of Fraud and Cyber-Attacks Affecting Digital Payment
  • Concern Related to Fraud can Still Happen


Key Target Audience
Potential Investors, End-Users, Government & Other Associated Bodies, Banks and Others

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • B2B Virtual Cards
  • B2C Remote Payment Virtual Cards
  • B2C POS Virtual Cards
By Application
  • Consumer Use
  • Business Use
  • Other
By Technology
  • Wi-Fi
  • API

By End User
  • Food
  • Beverage
  • Wine
  • Spirits
  • Household
  • Personal Care
  • Promotional
  • Industrial
  • Medical
  • Games and Sweepstakes
  • Nutraceuticals

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. High Proliferation of Smartphones
      • 3.2.2. Worldwide Initiatives for the Promotion of Virtual Cards
    • 3.3. Market Challenges
      • 3.3.1. Risk of Fraud and Cyber-Attacks Affecting Digital Payment
      • 3.3.2. Concern Related to Fraud can Still Happen
    • 3.4. Market Trends
      • 3.4.1. The Rising Advancements of these Cards is Also Booming the Market
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Virtual Cards, by Type, Application, Technology, End User and Region (value and price ) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Virtual Cards (Value)
      • 5.2.1. Global Virtual Cards by: Type (Value)
        • 5.2.1.1. B2B Virtual Cards
        • 5.2.1.2. B2C Remote Payment Virtual Cards
        • 5.2.1.3. B2C POS Virtual Cards
      • 5.2.2. Global Virtual Cards by: Application (Value)
        • 5.2.2.1. Consumer Use
        • 5.2.2.2. Business Use
        • 5.2.2.3. Other
      • 5.2.3. Global Virtual Cards by: Technology (Value)
        • 5.2.3.1. Wi-Fi
        • 5.2.3.2. API
      • 5.2.4. Global Virtual Cards by: End User (Value)
        • 5.2.4.1. Food
        • 5.2.4.2. Beverage
        • 5.2.4.3. Wine
        • 5.2.4.4. Spirits
        • 5.2.4.5. Household
        • 5.2.4.6. Personal Care
        • 5.2.4.7. Promotional
        • 5.2.4.8. Industrial
        • 5.2.4.9. Medical
        • 5.2.4.10. Games and Sweepstakes
        • 5.2.4.11. Nutraceuticals
      • 5.2.5. Global Virtual Cards Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Virtual Cards (Price)
      • 5.3.1. Global Virtual Cards by: Type (Price)
  • 6. Virtual Cards: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Abine (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. American Express (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Billtrust (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Cryptopay (United Kingdom)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. CSI (Corporate Spending Innovations) (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. DiviPay (Australia)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Emburse (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Fraedom (United Kingdom)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. JP Morgan Chase (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Marqeta (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Mastercard (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Mineraltree (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Pay with Privacy (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Virtual Cards Sale, by Type, Application, Technology, End User and Region (value and price ) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Virtual Cards (Value)
      • 7.2.1. Global Virtual Cards by: Type (Value)
        • 7.2.1.1. B2B Virtual Cards
        • 7.2.1.2. B2C Remote Payment Virtual Cards
        • 7.2.1.3. B2C POS Virtual Cards
      • 7.2.2. Global Virtual Cards by: Application (Value)
        • 7.2.2.1. Consumer Use
        • 7.2.2.2. Business Use
        • 7.2.2.3. Other
      • 7.2.3. Global Virtual Cards by: Technology (Value)
        • 7.2.3.1. Wi-Fi
        • 7.2.3.2. API
      • 7.2.4. Global Virtual Cards by: End User (Value)
        • 7.2.4.1. Food
        • 7.2.4.2. Beverage
        • 7.2.4.3. Wine
        • 7.2.4.4. Spirits
        • 7.2.4.5. Household
        • 7.2.4.6. Personal Care
        • 7.2.4.7. Promotional
        • 7.2.4.8. Industrial
        • 7.2.4.9. Medical
        • 7.2.4.10. Games and Sweepstakes
        • 7.2.4.11. Nutraceuticals
      • 7.2.5. Global Virtual Cards Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Virtual Cards (Price)
      • 7.3.1. Global Virtual Cards by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Virtual Cards: by Type(USD Million)
  • Table 2. Virtual Cards B2B Virtual Cards , by Region USD Million (2014-2019)
  • Table 3. Virtual Cards B2C Remote Payment Virtual Cards , by Region USD Million (2014-2019)
  • Table 4. Virtual Cards B2C POS Virtual Cards , by Region USD Million (2014-2019)
  • Table 5. Virtual Cards: by Application(USD Million)
  • Table 6. Virtual Cards Consumer Use , by Region USD Million (2014-2019)
  • Table 7. Virtual Cards Business Use , by Region USD Million (2014-2019)
  • Table 8. Virtual Cards Other , by Region USD Million (2014-2019)
  • Table 9. Virtual Cards: by Technology(USD Million)
  • Table 10. Virtual Cards Wi-Fi , by Region USD Million (2014-2019)
  • Table 11. Virtual Cards API , by Region USD Million (2014-2019)
  • Table 12. Virtual Cards: by End User(USD Million)
  • Table 13. Virtual Cards Food , by Region USD Million (2014-2019)
  • Table 14. Virtual Cards Beverage , by Region USD Million (2014-2019)
  • Table 15. Virtual Cards Wine , by Region USD Million (2014-2019)
  • Table 16. Virtual Cards Spirits , by Region USD Million (2014-2019)
  • Table 17. Virtual Cards Household , by Region USD Million (2014-2019)
  • Table 18. Virtual Cards Personal Care , by Region USD Million (2014-2019)
  • Table 19. Virtual Cards Promotional , by Region USD Million (2014-2019)
  • Table 20. Virtual Cards Industrial , by Region USD Million (2014-2019)
  • Table 21. Virtual Cards Medical , by Region USD Million (2014-2019)
  • Table 22. Virtual Cards Games and Sweepstakes , by Region USD Million (2014-2019)
  • Table 23. Virtual Cards Nutraceuticals , by Region USD Million (2014-2019)
  • Table 24. South America Virtual Cards, by Country USD Million (2014-2019)
  • Table 25. South America Virtual Cards, by Type USD Million (2014-2019)
  • Table 26. South America Virtual Cards, by Application USD Million (2014-2019)
  • Table 27. South America Virtual Cards, by Technology USD Million (2014-2019)
  • Table 28. South America Virtual Cards, by End User USD Million (2014-2019)
  • Table 29. Brazil Virtual Cards, by Type USD Million (2014-2019)
  • Table 30. Brazil Virtual Cards, by Application USD Million (2014-2019)
  • Table 31. Brazil Virtual Cards, by Technology USD Million (2014-2019)
  • Table 32. Brazil Virtual Cards, by End User USD Million (2014-2019)
  • Table 33. Argentina Virtual Cards, by Type USD Million (2014-2019)
  • Table 34. Argentina Virtual Cards, by Application USD Million (2014-2019)
  • Table 35. Argentina Virtual Cards, by Technology USD Million (2014-2019)
  • Table 36. Argentina Virtual Cards, by End User USD Million (2014-2019)
  • Table 37. Rest of South America Virtual Cards, by Type USD Million (2014-2019)
  • Table 38. Rest of South America Virtual Cards, by Application USD Million (2014-2019)
  • Table 39. Rest of South America Virtual Cards, by Technology USD Million (2014-2019)
  • Table 40. Rest of South America Virtual Cards, by End User USD Million (2014-2019)
  • Table 41. Asia Pacific Virtual Cards, by Country USD Million (2014-2019)
  • Table 42. Asia Pacific Virtual Cards, by Type USD Million (2014-2019)
  • Table 43. Asia Pacific Virtual Cards, by Application USD Million (2014-2019)
  • Table 44. Asia Pacific Virtual Cards, by Technology USD Million (2014-2019)
  • Table 45. Asia Pacific Virtual Cards, by End User USD Million (2014-2019)
  • Table 46. China Virtual Cards, by Type USD Million (2014-2019)
  • Table 47. China Virtual Cards, by Application USD Million (2014-2019)
  • Table 48. China Virtual Cards, by Technology USD Million (2014-2019)
  • Table 49. China Virtual Cards, by End User USD Million (2014-2019)
  • Table 50. Japan Virtual Cards, by Type USD Million (2014-2019)
  • Table 51. Japan Virtual Cards, by Application USD Million (2014-2019)
  • Table 52. Japan Virtual Cards, by Technology USD Million (2014-2019)
  • Table 53. Japan Virtual Cards, by End User USD Million (2014-2019)
  • Table 54. India Virtual Cards, by Type USD Million (2014-2019)
  • Table 55. India Virtual Cards, by Application USD Million (2014-2019)
  • Table 56. India Virtual Cards, by Technology USD Million (2014-2019)
  • Table 57. India Virtual Cards, by End User USD Million (2014-2019)
  • Table 58. South Korea Virtual Cards, by Type USD Million (2014-2019)
  • Table 59. South Korea Virtual Cards, by Application USD Million (2014-2019)
  • Table 60. South Korea Virtual Cards, by Technology USD Million (2014-2019)
  • Table 61. South Korea Virtual Cards, by End User USD Million (2014-2019)
  • Table 62. Taiwan Virtual Cards, by Type USD Million (2014-2019)
  • Table 63. Taiwan Virtual Cards, by Application USD Million (2014-2019)
  • Table 64. Taiwan Virtual Cards, by Technology USD Million (2014-2019)
  • Table 65. Taiwan Virtual Cards, by End User USD Million (2014-2019)
  • Table 66. Australia Virtual Cards, by Type USD Million (2014-2019)
  • Table 67. Australia Virtual Cards, by Application USD Million (2014-2019)
  • Table 68. Australia Virtual Cards, by Technology USD Million (2014-2019)
  • Table 69. Australia Virtual Cards, by End User USD Million (2014-2019)
  • Table 70. Rest of Asia-Pacific Virtual Cards, by Type USD Million (2014-2019)
  • Table 71. Rest of Asia-Pacific Virtual Cards, by Application USD Million (2014-2019)
  • Table 72. Rest of Asia-Pacific Virtual Cards, by Technology USD Million (2014-2019)
  • Table 73. Rest of Asia-Pacific Virtual Cards, by End User USD Million (2014-2019)
  • Table 74. Europe Virtual Cards, by Country USD Million (2014-2019)
  • Table 75. Europe Virtual Cards, by Type USD Million (2014-2019)
  • Table 76. Europe Virtual Cards, by Application USD Million (2014-2019)
  • Table 77. Europe Virtual Cards, by Technology USD Million (2014-2019)
  • Table 78. Europe Virtual Cards, by End User USD Million (2014-2019)
  • Table 79. Germany Virtual Cards, by Type USD Million (2014-2019)
  • Table 80. Germany Virtual Cards, by Application USD Million (2014-2019)
  • Table 81. Germany Virtual Cards, by Technology USD Million (2014-2019)
  • Table 82. Germany Virtual Cards, by End User USD Million (2014-2019)
  • Table 83. France Virtual Cards, by Type USD Million (2014-2019)
  • Table 84. France Virtual Cards, by Application USD Million (2014-2019)
  • Table 85. France Virtual Cards, by Technology USD Million (2014-2019)
  • Table 86. France Virtual Cards, by End User USD Million (2014-2019)
  • Table 87. Italy Virtual Cards, by Type USD Million (2014-2019)
  • Table 88. Italy Virtual Cards, by Application USD Million (2014-2019)
  • Table 89. Italy Virtual Cards, by Technology USD Million (2014-2019)
  • Table 90. Italy Virtual Cards, by End User USD Million (2014-2019)
  • Table 91. United Kingdom Virtual Cards, by Type USD Million (2014-2019)
  • Table 92. United Kingdom Virtual Cards, by Application USD Million (2014-2019)
  • Table 93. United Kingdom Virtual Cards, by Technology USD Million (2014-2019)
  • Table 94. United Kingdom Virtual Cards, by End User USD Million (2014-2019)
  • Table 95. Netherlands Virtual Cards, by Type USD Million (2014-2019)
  • Table 96. Netherlands Virtual Cards, by Application USD Million (2014-2019)
  • Table 97. Netherlands Virtual Cards, by Technology USD Million (2014-2019)
  • Table 98. Netherlands Virtual Cards, by End User USD Million (2014-2019)
  • Table 99. Rest of Europe Virtual Cards, by Type USD Million (2014-2019)
  • Table 100. Rest of Europe Virtual Cards, by Application USD Million (2014-2019)
  • Table 101. Rest of Europe Virtual Cards, by Technology USD Million (2014-2019)
  • Table 102. Rest of Europe Virtual Cards, by End User USD Million (2014-2019)
  • Table 103. MEA Virtual Cards, by Country USD Million (2014-2019)
  • Table 104. MEA Virtual Cards, by Type USD Million (2014-2019)
  • Table 105. MEA Virtual Cards, by Application USD Million (2014-2019)
  • Table 106. MEA Virtual Cards, by Technology USD Million (2014-2019)
  • Table 107. MEA Virtual Cards, by End User USD Million (2014-2019)
  • Table 108. Middle East Virtual Cards, by Type USD Million (2014-2019)
  • Table 109. Middle East Virtual Cards, by Application USD Million (2014-2019)
  • Table 110. Middle East Virtual Cards, by Technology USD Million (2014-2019)
  • Table 111. Middle East Virtual Cards, by End User USD Million (2014-2019)
  • Table 112. Africa Virtual Cards, by Type USD Million (2014-2019)
  • Table 113. Africa Virtual Cards, by Application USD Million (2014-2019)
  • Table 114. Africa Virtual Cards, by Technology USD Million (2014-2019)
  • Table 115. Africa Virtual Cards, by End User USD Million (2014-2019)
  • Table 116. North America Virtual Cards, by Country USD Million (2014-2019)
  • Table 117. North America Virtual Cards, by Type USD Million (2014-2019)
  • Table 118. North America Virtual Cards, by Application USD Million (2014-2019)
  • Table 119. North America Virtual Cards, by Technology USD Million (2014-2019)
  • Table 120. North America Virtual Cards, by End User USD Million (2014-2019)
  • Table 121. United States Virtual Cards, by Type USD Million (2014-2019)
  • Table 122. United States Virtual Cards, by Application USD Million (2014-2019)
  • Table 123. United States Virtual Cards, by Technology USD Million (2014-2019)
  • Table 124. United States Virtual Cards, by End User USD Million (2014-2019)
  • Table 125. Canada Virtual Cards, by Type USD Million (2014-2019)
  • Table 126. Canada Virtual Cards, by Application USD Million (2014-2019)
  • Table 127. Canada Virtual Cards, by Technology USD Million (2014-2019)
  • Table 128. Canada Virtual Cards, by End User USD Million (2014-2019)
  • Table 129. Mexico Virtual Cards, by Type USD Million (2014-2019)
  • Table 130. Mexico Virtual Cards, by Application USD Million (2014-2019)
  • Table 131. Mexico Virtual Cards, by Technology USD Million (2014-2019)
  • Table 132. Mexico Virtual Cards, by End User USD Million (2014-2019)
  • Table 133. Virtual Cards: by Type(USD/Units)
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Virtual Cards: by Type(USD Million)
  • Table 148. Virtual Cards B2B Virtual Cards , by Region USD Million (2020-2025)
  • Table 149. Virtual Cards B2C Remote Payment Virtual Cards , by Region USD Million (2020-2025)
  • Table 150. Virtual Cards B2C POS Virtual Cards , by Region USD Million (2020-2025)
  • Table 151. Virtual Cards: by Application(USD Million)
  • Table 152. Virtual Cards Consumer Use , by Region USD Million (2020-2025)
  • Table 153. Virtual Cards Business Use , by Region USD Million (2020-2025)
  • Table 154. Virtual Cards Other , by Region USD Million (2020-2025)
  • Table 155. Virtual Cards: by Technology(USD Million)
  • Table 156. Virtual Cards Wi-Fi , by Region USD Million (2020-2025)
  • Table 157. Virtual Cards API , by Region USD Million (2020-2025)
  • Table 158. Virtual Cards: by End User(USD Million)
  • Table 159. Virtual Cards Food , by Region USD Million (2020-2025)
  • Table 160. Virtual Cards Beverage , by Region USD Million (2020-2025)
  • Table 161. Virtual Cards Wine , by Region USD Million (2020-2025)
  • Table 162. Virtual Cards Spirits , by Region USD Million (2020-2025)
  • Table 163. Virtual Cards Household , by Region USD Million (2020-2025)
  • Table 164. Virtual Cards Personal Care , by Region USD Million (2020-2025)
  • Table 165. Virtual Cards Promotional , by Region USD Million (2020-2025)
  • Table 166. Virtual Cards Industrial , by Region USD Million (2020-2025)
  • Table 167. Virtual Cards Medical , by Region USD Million (2020-2025)
  • Table 168. Virtual Cards Games and Sweepstakes , by Region USD Million (2020-2025)
  • Table 169. Virtual Cards Nutraceuticals , by Region USD Million (2020-2025)
  • Table 170. South America Virtual Cards, by Country USD Million (2020-2025)
  • Table 171. South America Virtual Cards, by Type USD Million (2020-2025)
  • Table 172. South America Virtual Cards, by Application USD Million (2020-2025)
  • Table 173. South America Virtual Cards, by Technology USD Million (2020-2025)
  • Table 174. South America Virtual Cards, by End User USD Million (2020-2025)
  • Table 175. Brazil Virtual Cards, by Type USD Million (2020-2025)
  • Table 176. Brazil Virtual Cards, by Application USD Million (2020-2025)
  • Table 177. Brazil Virtual Cards, by Technology USD Million (2020-2025)
  • Table 178. Brazil Virtual Cards, by End User USD Million (2020-2025)
  • Table 179. Argentina Virtual Cards, by Type USD Million (2020-2025)
  • Table 180. Argentina Virtual Cards, by Application USD Million (2020-2025)
  • Table 181. Argentina Virtual Cards, by Technology USD Million (2020-2025)
  • Table 182. Argentina Virtual Cards, by End User USD Million (2020-2025)
  • Table 183. Rest of South America Virtual Cards, by Type USD Million (2020-2025)
  • Table 184. Rest of South America Virtual Cards, by Application USD Million (2020-2025)
  • Table 185. Rest of South America Virtual Cards, by Technology USD Million (2020-2025)
  • Table 186. Rest of South America Virtual Cards, by End User USD Million (2020-2025)
  • Table 187. Asia Pacific Virtual Cards, by Country USD Million (2020-2025)
  • Table 188. Asia Pacific Virtual Cards, by Type USD Million (2020-2025)
  • Table 189. Asia Pacific Virtual Cards, by Application USD Million (2020-2025)
  • Table 190. Asia Pacific Virtual Cards, by Technology USD Million (2020-2025)
  • Table 191. Asia Pacific Virtual Cards, by End User USD Million (2020-2025)
  • Table 192. China Virtual Cards, by Type USD Million (2020-2025)
  • Table 193. China Virtual Cards, by Application USD Million (2020-2025)
  • Table 194. China Virtual Cards, by Technology USD Million (2020-2025)
  • Table 195. China Virtual Cards, by End User USD Million (2020-2025)
  • Table 196. Japan Virtual Cards, by Type USD Million (2020-2025)
  • Table 197. Japan Virtual Cards, by Application USD Million (2020-2025)
  • Table 198. Japan Virtual Cards, by Technology USD Million (2020-2025)
  • Table 199. Japan Virtual Cards, by End User USD Million (2020-2025)
  • Table 200. India Virtual Cards, by Type USD Million (2020-2025)
  • Table 201. India Virtual Cards, by Application USD Million (2020-2025)
  • Table 202. India Virtual Cards, by Technology USD Million (2020-2025)
  • Table 203. India Virtual Cards, by End User USD Million (2020-2025)
  • Table 204. South Korea Virtual Cards, by Type USD Million (2020-2025)
  • Table 205. South Korea Virtual Cards, by Application USD Million (2020-2025)
  • Table 206. South Korea Virtual Cards, by Technology USD Million (2020-2025)
  • Table 207. South Korea Virtual Cards, by End User USD Million (2020-2025)
  • Table 208. Taiwan Virtual Cards, by Type USD Million (2020-2025)
  • Table 209. Taiwan Virtual Cards, by Application USD Million (2020-2025)
  • Table 210. Taiwan Virtual Cards, by Technology USD Million (2020-2025)
  • Table 211. Taiwan Virtual Cards, by End User USD Million (2020-2025)
  • Table 212. Australia Virtual Cards, by Type USD Million (2020-2025)
  • Table 213. Australia Virtual Cards, by Application USD Million (2020-2025)
  • Table 214. Australia Virtual Cards, by Technology USD Million (2020-2025)
  • Table 215. Australia Virtual Cards, by End User USD Million (2020-2025)
  • Table 216. Rest of Asia-Pacific Virtual Cards, by Type USD Million (2020-2025)
  • Table 217. Rest of Asia-Pacific Virtual Cards, by Application USD Million (2020-2025)
  • Table 218. Rest of Asia-Pacific Virtual Cards, by Technology USD Million (2020-2025)
  • Table 219. Rest of Asia-Pacific Virtual Cards, by End User USD Million (2020-2025)
  • Table 220. Europe Virtual Cards, by Country USD Million (2020-2025)
  • Table 221. Europe Virtual Cards, by Type USD Million (2020-2025)
  • Table 222. Europe Virtual Cards, by Application USD Million (2020-2025)
  • Table 223. Europe Virtual Cards, by Technology USD Million (2020-2025)
  • Table 224. Europe Virtual Cards, by End User USD Million (2020-2025)
  • Table 225. Germany Virtual Cards, by Type USD Million (2020-2025)
  • Table 226. Germany Virtual Cards, by Application USD Million (2020-2025)
  • Table 227. Germany Virtual Cards, by Technology USD Million (2020-2025)
  • Table 228. Germany Virtual Cards, by End User USD Million (2020-2025)
  • Table 229. France Virtual Cards, by Type USD Million (2020-2025)
  • Table 230. France Virtual Cards, by Application USD Million (2020-2025)
  • Table 231. France Virtual Cards, by Technology USD Million (2020-2025)
  • Table 232. France Virtual Cards, by End User USD Million (2020-2025)
  • Table 233. Italy Virtual Cards, by Type USD Million (2020-2025)
  • Table 234. Italy Virtual Cards, by Application USD Million (2020-2025)
  • Table 235. Italy Virtual Cards, by Technology USD Million (2020-2025)
  • Table 236. Italy Virtual Cards, by End User USD Million (2020-2025)
  • Table 237. United Kingdom Virtual Cards, by Type USD Million (2020-2025)
  • Table 238. United Kingdom Virtual Cards, by Application USD Million (2020-2025)
  • Table 239. United Kingdom Virtual Cards, by Technology USD Million (2020-2025)
  • Table 240. United Kingdom Virtual Cards, by End User USD Million (2020-2025)
  • Table 241. Netherlands Virtual Cards, by Type USD Million (2020-2025)
  • Table 242. Netherlands Virtual Cards, by Application USD Million (2020-2025)
  • Table 243. Netherlands Virtual Cards, by Technology USD Million (2020-2025)
  • Table 244. Netherlands Virtual Cards, by End User USD Million (2020-2025)
  • Table 245. Rest of Europe Virtual Cards, by Type USD Million (2020-2025)
  • Table 246. Rest of Europe Virtual Cards, by Application USD Million (2020-2025)
  • Table 247. Rest of Europe Virtual Cards, by Technology USD Million (2020-2025)
  • Table 248. Rest of Europe Virtual Cards, by End User USD Million (2020-2025)
  • Table 249. MEA Virtual Cards, by Country USD Million (2020-2025)
  • Table 250. MEA Virtual Cards, by Type USD Million (2020-2025)
  • Table 251. MEA Virtual Cards, by Application USD Million (2020-2025)
  • Table 252. MEA Virtual Cards, by Technology USD Million (2020-2025)
  • Table 253. MEA Virtual Cards, by End User USD Million (2020-2025)
  • Table 254. Middle East Virtual Cards, by Type USD Million (2020-2025)
  • Table 255. Middle East Virtual Cards, by Application USD Million (2020-2025)
  • Table 256. Middle East Virtual Cards, by Technology USD Million (2020-2025)
  • Table 257. Middle East Virtual Cards, by End User USD Million (2020-2025)
  • Table 258. Africa Virtual Cards, by Type USD Million (2020-2025)
  • Table 259. Africa Virtual Cards, by Application USD Million (2020-2025)
  • Table 260. Africa Virtual Cards, by Technology USD Million (2020-2025)
  • Table 261. Africa Virtual Cards, by End User USD Million (2020-2025)
  • Table 262. North America Virtual Cards, by Country USD Million (2020-2025)
  • Table 263. North America Virtual Cards, by Type USD Million (2020-2025)
  • Table 264. North America Virtual Cards, by Application USD Million (2020-2025)
  • Table 265. North America Virtual Cards, by Technology USD Million (2020-2025)
  • Table 266. North America Virtual Cards, by End User USD Million (2020-2025)
  • Table 267. United States Virtual Cards, by Type USD Million (2020-2025)
  • Table 268. United States Virtual Cards, by Application USD Million (2020-2025)
  • Table 269. United States Virtual Cards, by Technology USD Million (2020-2025)
  • Table 270. United States Virtual Cards, by End User USD Million (2020-2025)
  • Table 271. Canada Virtual Cards, by Type USD Million (2020-2025)
  • Table 272. Canada Virtual Cards, by Application USD Million (2020-2025)
  • Table 273. Canada Virtual Cards, by Technology USD Million (2020-2025)
  • Table 274. Canada Virtual Cards, by End User USD Million (2020-2025)
  • Table 275. Mexico Virtual Cards, by Type USD Million (2020-2025)
  • Table 276. Mexico Virtual Cards, by Application USD Million (2020-2025)
  • Table 277. Mexico Virtual Cards, by Technology USD Million (2020-2025)
  • Table 278. Mexico Virtual Cards, by End User USD Million (2020-2025)
  • Table 279. Virtual Cards: by Type(USD/Units)
  • Table 280. Research Programs/Design for This Report
  • Table 281. Key Data Information from Secondary Sources
  • Table 282. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Virtual Cards: by Type USD Million (2014-2019)
  • Figure 5. Global Virtual Cards: by Application USD Million (2014-2019)
  • Figure 6. Global Virtual Cards: by Technology USD Million (2014-2019)
  • Figure 7. Global Virtual Cards: by End User USD Million (2014-2019)
  • Figure 8. South America Virtual Cards Share (%), by Country
  • Figure 9. Asia Pacific Virtual Cards Share (%), by Country
  • Figure 10. Europe Virtual Cards Share (%), by Country
  • Figure 11. MEA Virtual Cards Share (%), by Country
  • Figure 12. North America Virtual Cards Share (%), by Country
  • Figure 13. Global Virtual Cards: by Type USD/Units (2014-2019)
  • Figure 14. Global Virtual Cards share by Players 2019 (%)
  • Figure 15. Global Virtual Cards share by Players (Top 3) 2019(%)
  • Figure 16. Global Virtual Cards share by Players (Top 5) 2019(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Abine (United States) Revenue, Net Income and Gross profit
  • Figure 19. Abine (United States) Revenue: by Geography 2019
  • Figure 20. American Express (United States) Revenue, Net Income and Gross profit
  • Figure 21. American Express (United States) Revenue: by Geography 2019
  • Figure 22. Billtrust (United States) Revenue, Net Income and Gross profit
  • Figure 23. Billtrust (United States) Revenue: by Geography 2019
  • Figure 24. Cryptopay (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. Cryptopay (United Kingdom) Revenue: by Geography 2019
  • Figure 26. CSI (Corporate Spending Innovations) (United States) Revenue, Net Income and Gross profit
  • Figure 27. CSI (Corporate Spending Innovations) (United States) Revenue: by Geography 2019
  • Figure 28. DiviPay (Australia) Revenue, Net Income and Gross profit
  • Figure 29. DiviPay (Australia) Revenue: by Geography 2019
  • Figure 30. Emburse (United States) Revenue, Net Income and Gross profit
  • Figure 31. Emburse (United States) Revenue: by Geography 2019
  • Figure 32. Fraedom (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. Fraedom (United Kingdom) Revenue: by Geography 2019
  • Figure 34. JP Morgan Chase (United States) Revenue, Net Income and Gross profit
  • Figure 35. JP Morgan Chase (United States) Revenue: by Geography 2019
  • Figure 36. Marqeta (United States) Revenue, Net Income and Gross profit
  • Figure 37. Marqeta (United States) Revenue: by Geography 2019
  • Figure 38. Mastercard (United States) Revenue, Net Income and Gross profit
  • Figure 39. Mastercard (United States) Revenue: by Geography 2019
  • Figure 40. Mineraltree (United States) Revenue, Net Income and Gross profit
  • Figure 41. Mineraltree (United States) Revenue: by Geography 2019
  • Figure 42. Pay with Privacy (United States) Revenue, Net Income and Gross profit
  • Figure 43. Pay with Privacy (United States) Revenue: by Geography 2019
  • Figure 44. Global Virtual Cards: by Type USD Million (2020-2025)
  • Figure 45. Global Virtual Cards: by Application USD Million (2020-2025)
  • Figure 46. Global Virtual Cards: by Technology USD Million (2020-2025)
  • Figure 47. Global Virtual Cards: by End User USD Million (2020-2025)
  • Figure 48. South America Virtual Cards Share (%), by Country
  • Figure 49. Asia Pacific Virtual Cards Share (%), by Country
  • Figure 50. Europe Virtual Cards Share (%), by Country
  • Figure 51. MEA Virtual Cards Share (%), by Country
  • Figure 52. North America Virtual Cards Share (%), by Country
  • Figure 53. Global Virtual Cards: by Type USD/Units (2020-2025)
Some of the key companies/manufacturers profiled in the report
  • Abine (United States)
  • American Express (United States)
  • Billtrust (United States)
  • Cryptopay (United Kingdom)
  • CSI (Corporate Spending Innovations) (United States)
  • DiviPay (Australia)
  • Emburse (United States)
  • Fraedom (United Kingdom)
  • JP Morgan Chase (United States)
  • Marqeta (United States)
  • Mastercard (United States)
  • Mineraltree (United States)
  • Pay with Privacy (United States)
Additional players considered in the study are as follows:
Token (United States) , Wex (United States) , Wirecard (Germany) , Stripe (Germany) , Qonto (France) , Skrill (United Kingdom)
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