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) Players and Region - Global Market Outlook to 2027

Virtual Cards Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is 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 Virtual Cards 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.

Analysts at AMA predicts that Players from United States 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 Analysis
Analyst at AMA have segmented the market study 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 Influencers and their 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.


Influencing 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.

To compete effectively, companies also require quantitative estimates of the future growth and qualitative nature of the market. AMA Research features not just specific market sizing estimates, but also include significant value-added commentary on Technological Trends and Innovations, Regulatory Policies, Market Maturity Indicators, Market Share Movements, New Entrants into the Market & Entry/Exit Barriers, Consumer Demographics, Supporting Company Financial and Cash Flow Planning, Open Up New Markets , To Seize Powerful Market Opportunities, Key Decision in Planning and to Further Expand Market Share, Identify Key Business Segments, Market Proposition & Gap Analysis.

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 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 and Region (value and price ) (2016-2021)
    • 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 Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. 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 (2021)
    • 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 and Region (value and price ) (2022-2027)
    • 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 Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. 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 (2016-2021)
  • Table 3. Virtual Cards B2C Remote Payment Virtual Cards , by Region USD Million (2016-2021)
  • Table 4. Virtual Cards B2C POS Virtual Cards , by Region USD Million (2016-2021)
  • Table 5. Virtual Cards: by Application(USD Million)
  • Table 6. Virtual Cards Consumer Use , by Region USD Million (2016-2021)
  • Table 7. Virtual Cards Business Use , by Region USD Million (2016-2021)
  • Table 8. Virtual Cards Other , by Region USD Million (2016-2021)
  • Table 9. Virtual Cards: by Technology(USD Million)
  • Table 10. Virtual Cards Wi-Fi , by Region USD Million (2016-2021)
  • Table 11. Virtual Cards API , by Region USD Million (2016-2021)
  • Table 12. South America Virtual Cards, by Country USD Million (2016-2021)
  • Table 13. South America Virtual Cards, by Type USD Million (2016-2021)
  • Table 14. South America Virtual Cards, by Application USD Million (2016-2021)
  • Table 15. South America Virtual Cards, by Technology USD Million (2016-2021)
  • Table 16. Brazil Virtual Cards, by Type USD Million (2016-2021)
  • Table 17. Brazil Virtual Cards, by Application USD Million (2016-2021)
  • Table 18. Brazil Virtual Cards, by Technology USD Million (2016-2021)
  • Table 19. Argentina Virtual Cards, by Type USD Million (2016-2021)
  • Table 20. Argentina Virtual Cards, by Application USD Million (2016-2021)
  • Table 21. Argentina Virtual Cards, by Technology USD Million (2016-2021)
  • Table 22. Rest of South America Virtual Cards, by Type USD Million (2016-2021)
  • Table 23. Rest of South America Virtual Cards, by Application USD Million (2016-2021)
  • Table 24. Rest of South America Virtual Cards, by Technology USD Million (2016-2021)
  • Table 25. Asia Pacific Virtual Cards, by Country USD Million (2016-2021)
  • Table 26. Asia Pacific Virtual Cards, by Type USD Million (2016-2021)
  • Table 27. Asia Pacific Virtual Cards, by Application USD Million (2016-2021)
  • Table 28. Asia Pacific Virtual Cards, by Technology USD Million (2016-2021)
  • Table 29. China Virtual Cards, by Type USD Million (2016-2021)
  • Table 30. China Virtual Cards, by Application USD Million (2016-2021)
  • Table 31. China Virtual Cards, by Technology USD Million (2016-2021)
  • Table 32. Japan Virtual Cards, by Type USD Million (2016-2021)
  • Table 33. Japan Virtual Cards, by Application USD Million (2016-2021)
  • Table 34. Japan Virtual Cards, by Technology USD Million (2016-2021)
  • Table 35. India Virtual Cards, by Type USD Million (2016-2021)
  • Table 36. India Virtual Cards, by Application USD Million (2016-2021)
  • Table 37. India Virtual Cards, by Technology USD Million (2016-2021)
  • Table 38. South Korea Virtual Cards, by Type USD Million (2016-2021)
  • Table 39. South Korea Virtual Cards, by Application USD Million (2016-2021)
  • Table 40. South Korea Virtual Cards, by Technology USD Million (2016-2021)
  • Table 41. Taiwan Virtual Cards, by Type USD Million (2016-2021)
  • Table 42. Taiwan Virtual Cards, by Application USD Million (2016-2021)
  • Table 43. Taiwan Virtual Cards, by Technology USD Million (2016-2021)
  • Table 44. Australia Virtual Cards, by Type USD Million (2016-2021)
  • Table 45. Australia Virtual Cards, by Application USD Million (2016-2021)
  • Table 46. Australia Virtual Cards, by Technology USD Million (2016-2021)
  • Table 47. Rest of Asia-Pacific Virtual Cards, by Type USD Million (2016-2021)
  • Table 48. Rest of Asia-Pacific Virtual Cards, by Application USD Million (2016-2021)
  • Table 49. Rest of Asia-Pacific Virtual Cards, by Technology USD Million (2016-2021)
  • Table 50. Europe Virtual Cards, by Country USD Million (2016-2021)
  • Table 51. Europe Virtual Cards, by Type USD Million (2016-2021)
  • Table 52. Europe Virtual Cards, by Application USD Million (2016-2021)
  • Table 53. Europe Virtual Cards, by Technology USD Million (2016-2021)
  • Table 54. Germany Virtual Cards, by Type USD Million (2016-2021)
  • Table 55. Germany Virtual Cards, by Application USD Million (2016-2021)
  • Table 56. Germany Virtual Cards, by Technology USD Million (2016-2021)
  • Table 57. France Virtual Cards, by Type USD Million (2016-2021)
  • Table 58. France Virtual Cards, by Application USD Million (2016-2021)
  • Table 59. France Virtual Cards, by Technology USD Million (2016-2021)
  • Table 60. Italy Virtual Cards, by Type USD Million (2016-2021)
  • Table 61. Italy Virtual Cards, by Application USD Million (2016-2021)
  • Table 62. Italy Virtual Cards, by Technology USD Million (2016-2021)
  • Table 63. United Kingdom Virtual Cards, by Type USD Million (2016-2021)
  • Table 64. United Kingdom Virtual Cards, by Application USD Million (2016-2021)
  • Table 65. United Kingdom Virtual Cards, by Technology USD Million (2016-2021)
  • Table 66. Netherlands Virtual Cards, by Type USD Million (2016-2021)
  • Table 67. Netherlands Virtual Cards, by Application USD Million (2016-2021)
  • Table 68. Netherlands Virtual Cards, by Technology USD Million (2016-2021)
  • Table 69. Rest of Europe Virtual Cards, by Type USD Million (2016-2021)
  • Table 70. Rest of Europe Virtual Cards, by Application USD Million (2016-2021)
  • Table 71. Rest of Europe Virtual Cards, by Technology USD Million (2016-2021)
  • Table 72. MEA Virtual Cards, by Country USD Million (2016-2021)
  • Table 73. MEA Virtual Cards, by Type USD Million (2016-2021)
  • Table 74. MEA Virtual Cards, by Application USD Million (2016-2021)
  • Table 75. MEA Virtual Cards, by Technology USD Million (2016-2021)
  • Table 76. Middle East Virtual Cards, by Type USD Million (2016-2021)
  • Table 77. Middle East Virtual Cards, by Application USD Million (2016-2021)
  • Table 78. Middle East Virtual Cards, by Technology USD Million (2016-2021)
  • Table 79. Africa Virtual Cards, by Type USD Million (2016-2021)
  • Table 80. Africa Virtual Cards, by Application USD Million (2016-2021)
  • Table 81. Africa Virtual Cards, by Technology USD Million (2016-2021)
  • Table 82. North America Virtual Cards, by Country USD Million (2016-2021)
  • Table 83. North America Virtual Cards, by Type USD Million (2016-2021)
  • Table 84. North America Virtual Cards, by Application USD Million (2016-2021)
  • Table 85. North America Virtual Cards, by Technology USD Million (2016-2021)
  • Table 86. United States Virtual Cards, by Type USD Million (2016-2021)
  • Table 87. United States Virtual Cards, by Application USD Million (2016-2021)
  • Table 88. United States Virtual Cards, by Technology USD Million (2016-2021)
  • Table 89. Canada Virtual Cards, by Type USD Million (2016-2021)
  • Table 90. Canada Virtual Cards, by Application USD Million (2016-2021)
  • Table 91. Canada Virtual Cards, by Technology USD Million (2016-2021)
  • Table 92. Mexico Virtual Cards, by Type USD Million (2016-2021)
  • Table 93. Mexico Virtual Cards, by Application USD Million (2016-2021)
  • Table 94. Mexico Virtual Cards, by Technology USD Million (2016-2021)
  • Table 95. Virtual Cards: by Type(USD/Units)
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Virtual Cards: by Type(USD Million)
  • Table 110. Virtual Cards B2B Virtual Cards , by Region USD Million (2022-2027)
  • Table 111. Virtual Cards B2C Remote Payment Virtual Cards , by Region USD Million (2022-2027)
  • Table 112. Virtual Cards B2C POS Virtual Cards , by Region USD Million (2022-2027)
  • Table 113. Virtual Cards: by Application(USD Million)
  • Table 114. Virtual Cards Consumer Use , by Region USD Million (2022-2027)
  • Table 115. Virtual Cards Business Use , by Region USD Million (2022-2027)
  • Table 116. Virtual Cards Other , by Region USD Million (2022-2027)
  • Table 117. Virtual Cards: by Technology(USD Million)
  • Table 118. Virtual Cards Wi-Fi , by Region USD Million (2022-2027)
  • Table 119. Virtual Cards API , by Region USD Million (2022-2027)
  • Table 120. South America Virtual Cards, by Country USD Million (2022-2027)
  • Table 121. South America Virtual Cards, by Type USD Million (2022-2027)
  • Table 122. South America Virtual Cards, by Application USD Million (2022-2027)
  • Table 123. South America Virtual Cards, by Technology USD Million (2022-2027)
  • Table 124. Brazil Virtual Cards, by Type USD Million (2022-2027)
  • Table 125. Brazil Virtual Cards, by Application USD Million (2022-2027)
  • Table 126. Brazil Virtual Cards, by Technology USD Million (2022-2027)
  • Table 127. Argentina Virtual Cards, by Type USD Million (2022-2027)
  • Table 128. Argentina Virtual Cards, by Application USD Million (2022-2027)
  • Table 129. Argentina Virtual Cards, by Technology USD Million (2022-2027)
  • Table 130. Rest of South America Virtual Cards, by Type USD Million (2022-2027)
  • Table 131. Rest of South America Virtual Cards, by Application USD Million (2022-2027)
  • Table 132. Rest of South America Virtual Cards, by Technology USD Million (2022-2027)
  • Table 133. Asia Pacific Virtual Cards, by Country USD Million (2022-2027)
  • Table 134. Asia Pacific Virtual Cards, by Type USD Million (2022-2027)
  • Table 135. Asia Pacific Virtual Cards, by Application USD Million (2022-2027)
  • Table 136. Asia Pacific Virtual Cards, by Technology USD Million (2022-2027)
  • Table 137. China Virtual Cards, by Type USD Million (2022-2027)
  • Table 138. China Virtual Cards, by Application USD Million (2022-2027)
  • Table 139. China Virtual Cards, by Technology USD Million (2022-2027)
  • Table 140. Japan Virtual Cards, by Type USD Million (2022-2027)
  • Table 141. Japan Virtual Cards, by Application USD Million (2022-2027)
  • Table 142. Japan Virtual Cards, by Technology USD Million (2022-2027)
  • Table 143. India Virtual Cards, by Type USD Million (2022-2027)
  • Table 144. India Virtual Cards, by Application USD Million (2022-2027)
  • Table 145. India Virtual Cards, by Technology USD Million (2022-2027)
  • Table 146. South Korea Virtual Cards, by Type USD Million (2022-2027)
  • Table 147. South Korea Virtual Cards, by Application USD Million (2022-2027)
  • Table 148. South Korea Virtual Cards, by Technology USD Million (2022-2027)
  • Table 149. Taiwan Virtual Cards, by Type USD Million (2022-2027)
  • Table 150. Taiwan Virtual Cards, by Application USD Million (2022-2027)
  • Table 151. Taiwan Virtual Cards, by Technology USD Million (2022-2027)
  • Table 152. Australia Virtual Cards, by Type USD Million (2022-2027)
  • Table 153. Australia Virtual Cards, by Application USD Million (2022-2027)
  • Table 154. Australia Virtual Cards, by Technology USD Million (2022-2027)
  • Table 155. Rest of Asia-Pacific Virtual Cards, by Type USD Million (2022-2027)
  • Table 156. Rest of Asia-Pacific Virtual Cards, by Application USD Million (2022-2027)
  • Table 157. Rest of Asia-Pacific Virtual Cards, by Technology USD Million (2022-2027)
  • Table 158. Europe Virtual Cards, by Country USD Million (2022-2027)
  • Table 159. Europe Virtual Cards, by Type USD Million (2022-2027)
  • Table 160. Europe Virtual Cards, by Application USD Million (2022-2027)
  • Table 161. Europe Virtual Cards, by Technology USD Million (2022-2027)
  • Table 162. Germany Virtual Cards, by Type USD Million (2022-2027)
  • Table 163. Germany Virtual Cards, by Application USD Million (2022-2027)
  • Table 164. Germany Virtual Cards, by Technology USD Million (2022-2027)
  • Table 165. France Virtual Cards, by Type USD Million (2022-2027)
  • Table 166. France Virtual Cards, by Application USD Million (2022-2027)
  • Table 167. France Virtual Cards, by Technology USD Million (2022-2027)
  • Table 168. Italy Virtual Cards, by Type USD Million (2022-2027)
  • Table 169. Italy Virtual Cards, by Application USD Million (2022-2027)
  • Table 170. Italy Virtual Cards, by Technology USD Million (2022-2027)
  • Table 171. United Kingdom Virtual Cards, by Type USD Million (2022-2027)
  • Table 172. United Kingdom Virtual Cards, by Application USD Million (2022-2027)
  • Table 173. United Kingdom Virtual Cards, by Technology USD Million (2022-2027)
  • Table 174. Netherlands Virtual Cards, by Type USD Million (2022-2027)
  • Table 175. Netherlands Virtual Cards, by Application USD Million (2022-2027)
  • Table 176. Netherlands Virtual Cards, by Technology USD Million (2022-2027)
  • Table 177. Rest of Europe Virtual Cards, by Type USD Million (2022-2027)
  • Table 178. Rest of Europe Virtual Cards, by Application USD Million (2022-2027)
  • Table 179. Rest of Europe Virtual Cards, by Technology USD Million (2022-2027)
  • Table 180. MEA Virtual Cards, by Country USD Million (2022-2027)
  • Table 181. MEA Virtual Cards, by Type USD Million (2022-2027)
  • Table 182. MEA Virtual Cards, by Application USD Million (2022-2027)
  • Table 183. MEA Virtual Cards, by Technology USD Million (2022-2027)
  • Table 184. Middle East Virtual Cards, by Type USD Million (2022-2027)
  • Table 185. Middle East Virtual Cards, by Application USD Million (2022-2027)
  • Table 186. Middle East Virtual Cards, by Technology USD Million (2022-2027)
  • Table 187. Africa Virtual Cards, by Type USD Million (2022-2027)
  • Table 188. Africa Virtual Cards, by Application USD Million (2022-2027)
  • Table 189. Africa Virtual Cards, by Technology USD Million (2022-2027)
  • Table 190. North America Virtual Cards, by Country USD Million (2022-2027)
  • Table 191. North America Virtual Cards, by Type USD Million (2022-2027)
  • Table 192. North America Virtual Cards, by Application USD Million (2022-2027)
  • Table 193. North America Virtual Cards, by Technology USD Million (2022-2027)
  • Table 194. United States Virtual Cards, by Type USD Million (2022-2027)
  • Table 195. United States Virtual Cards, by Application USD Million (2022-2027)
  • Table 196. United States Virtual Cards, by Technology USD Million (2022-2027)
  • Table 197. Canada Virtual Cards, by Type USD Million (2022-2027)
  • Table 198. Canada Virtual Cards, by Application USD Million (2022-2027)
  • Table 199. Canada Virtual Cards, by Technology USD Million (2022-2027)
  • Table 200. Mexico Virtual Cards, by Type USD Million (2022-2027)
  • Table 201. Mexico Virtual Cards, by Application USD Million (2022-2027)
  • Table 202. Mexico Virtual Cards, by Technology USD Million (2022-2027)
  • Table 203. Virtual Cards: by Type(USD/Units)
  • Table 204. Research Programs/Design for This Report
  • Table 205. Key Data Information from Secondary Sources
  • Table 206. 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 (2016-2021)
  • Figure 5. Global Virtual Cards: by Application USD Million (2016-2021)
  • Figure 6. Global Virtual Cards: by Technology USD Million (2016-2021)
  • Figure 7. South America Virtual Cards Share (%), by Country
  • Figure 8. Asia Pacific Virtual Cards Share (%), by Country
  • Figure 9. Europe Virtual Cards Share (%), by Country
  • Figure 10. MEA Virtual Cards Share (%), by Country
  • Figure 11. North America Virtual Cards Share (%), by Country
  • Figure 12. Global Virtual Cards: by Type USD/Units (2016-2021)
  • Figure 13. Global Virtual Cards share by Players 2021 (%)
  • Figure 14. Global Virtual Cards share by Players (Top 3) 2021(%)
  • Figure 15. Global Virtual Cards share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Abine (United States) Revenue, Net Income and Gross profit
  • Figure 18. Abine (United States) Revenue: by Geography 2021
  • Figure 19. American Express (United States) Revenue, Net Income and Gross profit
  • Figure 20. American Express (United States) Revenue: by Geography 2021
  • Figure 21. Billtrust (United States) Revenue, Net Income and Gross profit
  • Figure 22. Billtrust (United States) Revenue: by Geography 2021
  • Figure 23. Cryptopay (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 24. Cryptopay (United Kingdom) Revenue: by Geography 2021
  • Figure 25. CSI (Corporate Spending Innovations) (United States) Revenue, Net Income and Gross profit
  • Figure 26. CSI (Corporate Spending Innovations) (United States) Revenue: by Geography 2021
  • Figure 27. DiviPay (Australia) Revenue, Net Income and Gross profit
  • Figure 28. DiviPay (Australia) Revenue: by Geography 2021
  • Figure 29. Emburse (United States) Revenue, Net Income and Gross profit
  • Figure 30. Emburse (United States) Revenue: by Geography 2021
  • Figure 31. Fraedom (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Fraedom (United Kingdom) Revenue: by Geography 2021
  • Figure 33. JP Morgan Chase (United States) Revenue, Net Income and Gross profit
  • Figure 34. JP Morgan Chase (United States) Revenue: by Geography 2021
  • Figure 35. Marqeta (United States) Revenue, Net Income and Gross profit
  • Figure 36. Marqeta (United States) Revenue: by Geography 2021
  • Figure 37. Mastercard (United States) Revenue, Net Income and Gross profit
  • Figure 38. Mastercard (United States) Revenue: by Geography 2021
  • Figure 39. Mineraltree (United States) Revenue, Net Income and Gross profit
  • Figure 40. Mineraltree (United States) Revenue: by Geography 2021
  • Figure 41. Pay with Privacy (United States) Revenue, Net Income and Gross profit
  • Figure 42. Pay with Privacy (United States) Revenue: by Geography 2021
  • Figure 43. Global Virtual Cards: by Type USD Million (2022-2027)
  • Figure 44. Global Virtual Cards: by Application USD Million (2022-2027)
  • Figure 45. Global Virtual Cards: by Technology USD Million (2022-2027)
  • Figure 46. South America Virtual Cards Share (%), by Country
  • Figure 47. Asia Pacific Virtual Cards Share (%), by Country
  • Figure 48. Europe Virtual Cards Share (%), by Country
  • Figure 49. MEA Virtual Cards Share (%), by Country
  • Figure 50. North America Virtual Cards Share (%), by Country
  • Figure 51. Global Virtual Cards: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • 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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Key Highlights of Report


Mar 2022 208 Pages 76 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Virtual Cards Quantitative research analysis
Global Virtual Cards Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The Global Virtual Cards market is expected to see a growth of % during projected year 2021 to 2027.
The prominent players of Global Virtual Cards market are 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), to name a few.
In this highly competitive & fast evolving Virtual Cards industry, the top strategic priorities would remain consistent like innovation, R&D and M&A.

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