Global Intelligent POS Market

Intelligent POS Comprehensive Study by Type (Portable, Desktop), Application (Retail, Restaurant, Hospitality Industry, Warehouses, Others), Deployment Mode (On-Premises, Cloud-Based) Players and Region - Global Market Outlook to 2030

Intelligent POS Market by XX Submarkets | Forecast Years 2024-2030  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Intelligent POS
Intelligent POS systems are combined with remote monitoring software, digital management technology, and surveillance systems that support the provision of different value added services. A point of sale system (POS), is the place where customer makes a payment for products or services at any store. POS is the hub where everything such as sales, inventory and customer management merges. This technology also supports store managers to gather consumer behavior data, increase customer visit, and improve purchase motivations.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)


On May 16, 2019 - NEXT Biometrics and Newland has entered into partnership agreement to deliver biometric POS. The agreement provides for the integration of different types of NEXT Biometrics’ high-quality, large-area fingerprint sensors into a range of Newland`s POS terminals for sales on a global scale. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Intelligent POS market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Clover Network (United States), Newland Payment (China), Emobilepos (United States), SZZT Electronics (China), Ingenico (France), Flytech (Taiwan), Posandro (United Kingdom), PAX Technology (China), BITEL EMEA (Egypt) and AccuPOS (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are VeriFone (United States) and Xinguodu (China).

Segmentation Overview
AMA Research has segmented the market of Global Intelligent POS market by Type (Portable and Desktop), Application (Retail, Restaurant, Hospitality Industry, Warehouses and Others) and Region.



On the basis of geography, the market of Intelligent POS 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). If we see Market by Deployment Mode, the sub-segment i.e. On-Premises will boost the Intelligent POS market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Technology Development in Point Of Sale (POS)

Market Growth Drivers:
Rising Preference for Smartphone and Growing Adoption from Entertainment Centers

Challenges:
Initial Costs of Intelligent POS Is Expensive and Training of Staff for using Point Of Sale (POS)

Opportunities:
Increasing Technology Expenditure in the Government Sector and Infrastructural Development in Developing Countries

Market Leaders and their expansionary development strategies
In November 2022, NCR Corp. has acquired POS Solutions, a point-of-sale and restaurant solutions provider in central Texas. The company will maintain POS Solutions' existing customer sites with their current management and staff.
In May 2024, New Product Launched NEXGO N6--The Brand-New Smart Mini POS Terminal. The is a thin, light, slim, and portable smart POS terminal designed for mobile payment scenarios. The 3D lines design on its back allows customers to hold it tighter and easier. Its 5.0” HD touchscreen provides a friendly user interface and makes it simple to operate, just like a smartphone in your hand


Key Target Audience
Manufacturers of POS System, Suppliers of POS System, Wholesalers, Distributors and Retailers of POS System, Service Providers of Intelligent POS, Healthcare Industry and Governmental Bodies

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Portable
  • Desktop
By Application
  • Retail
  • Restaurant
  • Hospitality Industry
  • Warehouses
  • Others
By Deployment Mode
  • On-Premises
  • Cloud-Based

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. Rising Preference for Smartphone
      • 3.2.2. Growing Adoption from Entertainment Centers
    • 3.3. Market Challenges
      • 3.3.1. Initial Costs of Intelligent POS Is Expensive
      • 3.3.2. Training of Staff for using Point Of Sale (POS)
    • 3.4. Market Trends
      • 3.4.1. Technology Development in Point Of Sale (POS)
  • 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 Intelligent POS, by Type, Application, Deployment Mode and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Intelligent POS (Value)
      • 5.2.1. Global Intelligent POS by: Type (Value)
        • 5.2.1.1. Portable
        • 5.2.1.2. Desktop
      • 5.2.2. Global Intelligent POS by: Application (Value)
        • 5.2.2.1. Retail
        • 5.2.2.2. Restaurant
        • 5.2.2.3. Hospitality Industry
        • 5.2.2.4. Warehouses
        • 5.2.2.5. Others
      • 5.2.3. Global Intelligent POS by: Deployment Mode (Value)
        • 5.2.3.1. On-Premises
        • 5.2.3.2. Cloud-Based
      • 5.2.4. Global Intelligent POS 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 Intelligent POS (Price)
      • 5.3.1. Global Intelligent POS by: Type (Price)
  • 6. Intelligent POS: 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 (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Clover Network (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. Newland Payment (China)
        • 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. Emobilepos (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. SZZT Electronics (China)
        • 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. Ingenico (France)
        • 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. Flytech (Taiwan)
        • 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. Posandro (United Kingdom)
        • 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. PAX Technology (China)
        • 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. BITEL EMEA (Egypt)
        • 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. AccuPOS (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
  • 7. Global Intelligent POS Sale, by Type, Application, Deployment Mode and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Intelligent POS (Value)
      • 7.2.1. Global Intelligent POS by: Type (Value)
        • 7.2.1.1. Portable
        • 7.2.1.2. Desktop
      • 7.2.2. Global Intelligent POS by: Application (Value)
        • 7.2.2.1. Retail
        • 7.2.2.2. Restaurant
        • 7.2.2.3. Hospitality Industry
        • 7.2.2.4. Warehouses
        • 7.2.2.5. Others
      • 7.2.3. Global Intelligent POS by: Deployment Mode (Value)
        • 7.2.3.1. On-Premises
        • 7.2.3.2. Cloud-Based
      • 7.2.4. Global Intelligent POS 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 Intelligent POS (Price)
      • 7.3.1. Global Intelligent POS 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. Intelligent POS: by Type(USD Million)
  • Table 2. Intelligent POS Portable , by Region USD Million (2018-2023)
  • Table 3. Intelligent POS Desktop , by Region USD Million (2018-2023)
  • Table 4. Intelligent POS: by Application(USD Million)
  • Table 5. Intelligent POS Retail , by Region USD Million (2018-2023)
  • Table 6. Intelligent POS Restaurant , by Region USD Million (2018-2023)
  • Table 7. Intelligent POS Hospitality Industry , by Region USD Million (2018-2023)
  • Table 8. Intelligent POS Warehouses , by Region USD Million (2018-2023)
  • Table 9. Intelligent POS Others , by Region USD Million (2018-2023)
  • Table 10. Intelligent POS: by Deployment Mode(USD Million)
  • Table 11. Intelligent POS On-Premises , by Region USD Million (2018-2023)
  • Table 12. Intelligent POS Cloud-Based , by Region USD Million (2018-2023)
  • Table 13. South America Intelligent POS, by Country USD Million (2018-2023)
  • Table 14. South America Intelligent POS, by Type USD Million (2018-2023)
  • Table 15. South America Intelligent POS, by Application USD Million (2018-2023)
  • Table 16. South America Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 17. Brazil Intelligent POS, by Type USD Million (2018-2023)
  • Table 18. Brazil Intelligent POS, by Application USD Million (2018-2023)
  • Table 19. Brazil Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 20. Argentina Intelligent POS, by Type USD Million (2018-2023)
  • Table 21. Argentina Intelligent POS, by Application USD Million (2018-2023)
  • Table 22. Argentina Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 23. Rest of South America Intelligent POS, by Type USD Million (2018-2023)
  • Table 24. Rest of South America Intelligent POS, by Application USD Million (2018-2023)
  • Table 25. Rest of South America Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 26. Asia Pacific Intelligent POS, by Country USD Million (2018-2023)
  • Table 27. Asia Pacific Intelligent POS, by Type USD Million (2018-2023)
  • Table 28. Asia Pacific Intelligent POS, by Application USD Million (2018-2023)
  • Table 29. Asia Pacific Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 30. China Intelligent POS, by Type USD Million (2018-2023)
  • Table 31. China Intelligent POS, by Application USD Million (2018-2023)
  • Table 32. China Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 33. Japan Intelligent POS, by Type USD Million (2018-2023)
  • Table 34. Japan Intelligent POS, by Application USD Million (2018-2023)
  • Table 35. Japan Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 36. India Intelligent POS, by Type USD Million (2018-2023)
  • Table 37. India Intelligent POS, by Application USD Million (2018-2023)
  • Table 38. India Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 39. South Korea Intelligent POS, by Type USD Million (2018-2023)
  • Table 40. South Korea Intelligent POS, by Application USD Million (2018-2023)
  • Table 41. South Korea Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 42. Taiwan Intelligent POS, by Type USD Million (2018-2023)
  • Table 43. Taiwan Intelligent POS, by Application USD Million (2018-2023)
  • Table 44. Taiwan Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 45. Australia Intelligent POS, by Type USD Million (2018-2023)
  • Table 46. Australia Intelligent POS, by Application USD Million (2018-2023)
  • Table 47. Australia Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 48. Rest of Asia-Pacific Intelligent POS, by Type USD Million (2018-2023)
  • Table 49. Rest of Asia-Pacific Intelligent POS, by Application USD Million (2018-2023)
  • Table 50. Rest of Asia-Pacific Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 51. Europe Intelligent POS, by Country USD Million (2018-2023)
  • Table 52. Europe Intelligent POS, by Type USD Million (2018-2023)
  • Table 53. Europe Intelligent POS, by Application USD Million (2018-2023)
  • Table 54. Europe Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 55. Germany Intelligent POS, by Type USD Million (2018-2023)
  • Table 56. Germany Intelligent POS, by Application USD Million (2018-2023)
  • Table 57. Germany Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 58. France Intelligent POS, by Type USD Million (2018-2023)
  • Table 59. France Intelligent POS, by Application USD Million (2018-2023)
  • Table 60. France Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 61. Italy Intelligent POS, by Type USD Million (2018-2023)
  • Table 62. Italy Intelligent POS, by Application USD Million (2018-2023)
  • Table 63. Italy Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 64. United Kingdom Intelligent POS, by Type USD Million (2018-2023)
  • Table 65. United Kingdom Intelligent POS, by Application USD Million (2018-2023)
  • Table 66. United Kingdom Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 67. Netherlands Intelligent POS, by Type USD Million (2018-2023)
  • Table 68. Netherlands Intelligent POS, by Application USD Million (2018-2023)
  • Table 69. Netherlands Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 70. Rest of Europe Intelligent POS, by Type USD Million (2018-2023)
  • Table 71. Rest of Europe Intelligent POS, by Application USD Million (2018-2023)
  • Table 72. Rest of Europe Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 73. MEA Intelligent POS, by Country USD Million (2018-2023)
  • Table 74. MEA Intelligent POS, by Type USD Million (2018-2023)
  • Table 75. MEA Intelligent POS, by Application USD Million (2018-2023)
  • Table 76. MEA Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 77. Middle East Intelligent POS, by Type USD Million (2018-2023)
  • Table 78. Middle East Intelligent POS, by Application USD Million (2018-2023)
  • Table 79. Middle East Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 80. Africa Intelligent POS, by Type USD Million (2018-2023)
  • Table 81. Africa Intelligent POS, by Application USD Million (2018-2023)
  • Table 82. Africa Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 83. North America Intelligent POS, by Country USD Million (2018-2023)
  • Table 84. North America Intelligent POS, by Type USD Million (2018-2023)
  • Table 85. North America Intelligent POS, by Application USD Million (2018-2023)
  • Table 86. North America Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 87. United States Intelligent POS, by Type USD Million (2018-2023)
  • Table 88. United States Intelligent POS, by Application USD Million (2018-2023)
  • Table 89. United States Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 90. Canada Intelligent POS, by Type USD Million (2018-2023)
  • Table 91. Canada Intelligent POS, by Application USD Million (2018-2023)
  • Table 92. Canada Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 93. Mexico Intelligent POS, by Type USD Million (2018-2023)
  • Table 94. Mexico Intelligent POS, by Application USD Million (2018-2023)
  • Table 95. Mexico Intelligent POS, by Deployment Mode USD Million (2018-2023)
  • Table 96. Intelligent POS: by Type(USD/Units)
  • 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. Intelligent POS: by Type(USD Million)
  • Table 108. Intelligent POS Portable , by Region USD Million (2025-2030)
  • Table 109. Intelligent POS Desktop , by Region USD Million (2025-2030)
  • Table 110. Intelligent POS: by Application(USD Million)
  • Table 111. Intelligent POS Retail , by Region USD Million (2025-2030)
  • Table 112. Intelligent POS Restaurant , by Region USD Million (2025-2030)
  • Table 113. Intelligent POS Hospitality Industry , by Region USD Million (2025-2030)
  • Table 114. Intelligent POS Warehouses , by Region USD Million (2025-2030)
  • Table 115. Intelligent POS Others , by Region USD Million (2025-2030)
  • Table 116. Intelligent POS: by Deployment Mode(USD Million)
  • Table 117. Intelligent POS On-Premises , by Region USD Million (2025-2030)
  • Table 118. Intelligent POS Cloud-Based , by Region USD Million (2025-2030)
  • Table 119. South America Intelligent POS, by Country USD Million (2025-2030)
  • Table 120. South America Intelligent POS, by Type USD Million (2025-2030)
  • Table 121. South America Intelligent POS, by Application USD Million (2025-2030)
  • Table 122. South America Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 123. Brazil Intelligent POS, by Type USD Million (2025-2030)
  • Table 124. Brazil Intelligent POS, by Application USD Million (2025-2030)
  • Table 125. Brazil Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 126. Argentina Intelligent POS, by Type USD Million (2025-2030)
  • Table 127. Argentina Intelligent POS, by Application USD Million (2025-2030)
  • Table 128. Argentina Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 129. Rest of South America Intelligent POS, by Type USD Million (2025-2030)
  • Table 130. Rest of South America Intelligent POS, by Application USD Million (2025-2030)
  • Table 131. Rest of South America Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 132. Asia Pacific Intelligent POS, by Country USD Million (2025-2030)
  • Table 133. Asia Pacific Intelligent POS, by Type USD Million (2025-2030)
  • Table 134. Asia Pacific Intelligent POS, by Application USD Million (2025-2030)
  • Table 135. Asia Pacific Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 136. China Intelligent POS, by Type USD Million (2025-2030)
  • Table 137. China Intelligent POS, by Application USD Million (2025-2030)
  • Table 138. China Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 139. Japan Intelligent POS, by Type USD Million (2025-2030)
  • Table 140. Japan Intelligent POS, by Application USD Million (2025-2030)
  • Table 141. Japan Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 142. India Intelligent POS, by Type USD Million (2025-2030)
  • Table 143. India Intelligent POS, by Application USD Million (2025-2030)
  • Table 144. India Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 145. South Korea Intelligent POS, by Type USD Million (2025-2030)
  • Table 146. South Korea Intelligent POS, by Application USD Million (2025-2030)
  • Table 147. South Korea Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 148. Taiwan Intelligent POS, by Type USD Million (2025-2030)
  • Table 149. Taiwan Intelligent POS, by Application USD Million (2025-2030)
  • Table 150. Taiwan Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 151. Australia Intelligent POS, by Type USD Million (2025-2030)
  • Table 152. Australia Intelligent POS, by Application USD Million (2025-2030)
  • Table 153. Australia Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 154. Rest of Asia-Pacific Intelligent POS, by Type USD Million (2025-2030)
  • Table 155. Rest of Asia-Pacific Intelligent POS, by Application USD Million (2025-2030)
  • Table 156. Rest of Asia-Pacific Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 157. Europe Intelligent POS, by Country USD Million (2025-2030)
  • Table 158. Europe Intelligent POS, by Type USD Million (2025-2030)
  • Table 159. Europe Intelligent POS, by Application USD Million (2025-2030)
  • Table 160. Europe Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 161. Germany Intelligent POS, by Type USD Million (2025-2030)
  • Table 162. Germany Intelligent POS, by Application USD Million (2025-2030)
  • Table 163. Germany Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 164. France Intelligent POS, by Type USD Million (2025-2030)
  • Table 165. France Intelligent POS, by Application USD Million (2025-2030)
  • Table 166. France Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 167. Italy Intelligent POS, by Type USD Million (2025-2030)
  • Table 168. Italy Intelligent POS, by Application USD Million (2025-2030)
  • Table 169. Italy Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 170. United Kingdom Intelligent POS, by Type USD Million (2025-2030)
  • Table 171. United Kingdom Intelligent POS, by Application USD Million (2025-2030)
  • Table 172. United Kingdom Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 173. Netherlands Intelligent POS, by Type USD Million (2025-2030)
  • Table 174. Netherlands Intelligent POS, by Application USD Million (2025-2030)
  • Table 175. Netherlands Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 176. Rest of Europe Intelligent POS, by Type USD Million (2025-2030)
  • Table 177. Rest of Europe Intelligent POS, by Application USD Million (2025-2030)
  • Table 178. Rest of Europe Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 179. MEA Intelligent POS, by Country USD Million (2025-2030)
  • Table 180. MEA Intelligent POS, by Type USD Million (2025-2030)
  • Table 181. MEA Intelligent POS, by Application USD Million (2025-2030)
  • Table 182. MEA Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 183. Middle East Intelligent POS, by Type USD Million (2025-2030)
  • Table 184. Middle East Intelligent POS, by Application USD Million (2025-2030)
  • Table 185. Middle East Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 186. Africa Intelligent POS, by Type USD Million (2025-2030)
  • Table 187. Africa Intelligent POS, by Application USD Million (2025-2030)
  • Table 188. Africa Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 189. North America Intelligent POS, by Country USD Million (2025-2030)
  • Table 190. North America Intelligent POS, by Type USD Million (2025-2030)
  • Table 191. North America Intelligent POS, by Application USD Million (2025-2030)
  • Table 192. North America Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 193. United States Intelligent POS, by Type USD Million (2025-2030)
  • Table 194. United States Intelligent POS, by Application USD Million (2025-2030)
  • Table 195. United States Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 196. Canada Intelligent POS, by Type USD Million (2025-2030)
  • Table 197. Canada Intelligent POS, by Application USD Million (2025-2030)
  • Table 198. Canada Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 199. Mexico Intelligent POS, by Type USD Million (2025-2030)
  • Table 200. Mexico Intelligent POS, by Application USD Million (2025-2030)
  • Table 201. Mexico Intelligent POS, by Deployment Mode USD Million (2025-2030)
  • Table 202. Intelligent POS: by Type(USD/Units)
  • Table 203. Research Programs/Design for This Report
  • Table 204. Key Data Information from Secondary Sources
  • Table 205. 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 Intelligent POS: by Type USD Million (2018-2023)
  • Figure 5. Global Intelligent POS: by Application USD Million (2018-2023)
  • Figure 6. Global Intelligent POS: by Deployment Mode USD Million (2018-2023)
  • Figure 7. South America Intelligent POS Share (%), by Country
  • Figure 8. Asia Pacific Intelligent POS Share (%), by Country
  • Figure 9. Europe Intelligent POS Share (%), by Country
  • Figure 10. MEA Intelligent POS Share (%), by Country
  • Figure 11. North America Intelligent POS Share (%), by Country
  • Figure 12. Global Intelligent POS: by Type USD/Units (2018-2023)
  • Figure 13. Global Intelligent POS share by Players 2023 (%)
  • Figure 14. Global Intelligent POS share by Players (Top 3) 2023(%)
  • Figure 15. Global Intelligent POS share by Players (Top 5) 2023(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Clover Network (United States) Revenue, Net Income and Gross profit
  • Figure 18. Clover Network (United States) Revenue: by Geography 2023
  • Figure 19. Newland Payment (China) Revenue, Net Income and Gross profit
  • Figure 20. Newland Payment (China) Revenue: by Geography 2023
  • Figure 21. Emobilepos (United States) Revenue, Net Income and Gross profit
  • Figure 22. Emobilepos (United States) Revenue: by Geography 2023
  • Figure 23. SZZT Electronics (China) Revenue, Net Income and Gross profit
  • Figure 24. SZZT Electronics (China) Revenue: by Geography 2023
  • Figure 25. Ingenico (France) Revenue, Net Income and Gross profit
  • Figure 26. Ingenico (France) Revenue: by Geography 2023
  • Figure 27. Flytech (Taiwan) Revenue, Net Income and Gross profit
  • Figure 28. Flytech (Taiwan) Revenue: by Geography 2023
  • Figure 29. Posandro (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 30. Posandro (United Kingdom) Revenue: by Geography 2023
  • Figure 31. PAX Technology (China) Revenue, Net Income and Gross profit
  • Figure 32. PAX Technology (China) Revenue: by Geography 2023
  • Figure 33. BITEL EMEA (Egypt) Revenue, Net Income and Gross profit
  • Figure 34. BITEL EMEA (Egypt) Revenue: by Geography 2023
  • Figure 35. AccuPOS (United States) Revenue, Net Income and Gross profit
  • Figure 36. AccuPOS (United States) Revenue: by Geography 2023
  • Figure 37. Global Intelligent POS: by Type USD Million (2025-2030)
  • Figure 38. Global Intelligent POS: by Application USD Million (2025-2030)
  • Figure 39. Global Intelligent POS: by Deployment Mode USD Million (2025-2030)
  • Figure 40. South America Intelligent POS Share (%), by Country
  • Figure 41. Asia Pacific Intelligent POS Share (%), by Country
  • Figure 42. Europe Intelligent POS Share (%), by Country
  • Figure 43. MEA Intelligent POS Share (%), by Country
  • Figure 44. North America Intelligent POS Share (%), by Country
  • Figure 45. Global Intelligent POS: by Type USD/Units (2025-2030)
List of companies from research coverage that are profiled in the study
  • Clover Network (United States)
  • Newland Payment (China)
  • Emobilepos (United States)
  • SZZT Electronics (China)
  • Ingenico (France)
  • Flytech (Taiwan)
  • Posandro (United Kingdom)
  • PAX Technology (China)
  • BITEL EMEA (Egypt)
  • AccuPOS (United States)
Additional players considered in the study are as follows:
VeriFone (United States) , Xinguodu (China)
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Key Highlights of Report


Mar 2024 203 Pages 73 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Intelligent POS Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Clover Network (United States), Newland Payment (China), Emobilepos (United States), SZZT Electronics (China), Ingenico (France), Flytech (Taiwan), Posandro (United Kingdom), PAX Technology (China), BITEL EMEA (Egypt) and AccuPOS (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Technology Development in Point Of Sale (POS)" is seen as one of major influencing trends for Intelligent POS Market during projected period 2023-2030.
The Intelligent POS market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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