Global Image Recognition Market

Image Recognition Comprehensive Study by Type (Optical Character Recognition, Pattern and Gradient Matching, Object recognition, Barcode Recognition, Facial recognition), Application (Augmented Reality, Scanning & Imaging, Security & Surveillance, Marketing & Advertising, Image Search, Others), End Users (Banking, Financial Services & Insurance (BFSI), Consumer Goods and Retail, Telecommunications and IT, Healthcare, Media and Entertainment, Government, Education, Others), Deployment Type (On-Premises, Cloud), Technology (Code Recognition, Digital Image Processing, Facial Recognition, Pattern Recognition, Optical Character Recognition), Component (Software, Hardware, Service, Managed Services, Professional Services, Training, support and maintenance Services) Players and Region - Global Market Outlook to 2026

Image Recognition Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 18.7%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Image recognition refers to recognition of people, objects, texts, places and others images using a camera in tandem with artificial intelligence. It is used to in various operations such as guiding robots, self-driving cars, security applications and others. Deep machine learning is required for this technology. As automation being the new norms across industries, the need for security is at fore, there would be huge demand for image recognition system during foretasted period.
According to AMA, the market for Image Recognition is expected to register a CAGR of 18.7% during the forecast period to 2026. This growth is primarily driven by Rising Need on Security Across Industry Verticals and Growing Digitalization and Wider Adoption of Social Media.

Globally, a noticeable market trend is evident Emergence of Computer Vision Technology . The Technology Distributors sector in the North America region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Sharp Vision Software (United States), Catchoom (Spain), Hitachi (Japan), Itraff Technology (Poland), Wikitude (Austria), Blipper (United Kingdom) and Toshiba (Japan) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Market Drivers
  • Rising Need on Security Across Industry Verticals
  • Growing Digitalization and Wider Adoption of Social Media

Market Trend
  • Emergence of Computer Vision Technology
  • Growing Use of Text Recognition and Information Extraction

Restraints
  • High Cost of Installation of the System
  • Complexity Involved in the System

Opportunities
Growing Use of Big Data Analytics and Rising Automation Demand and Emergence of Industry 4.0
Challenges
Limited Resolution Size and Storage and Lack of Deployment in Emerging Countries

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Image Recognition Study Sheds Light on
— The Image Recognition Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Image Recognition industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Image Recognition industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Optical Character Recognition
  • Pattern and Gradient Matching
  • Object recognition
  • Barcode Recognition
  • Facial recognition
By Application
  • Augmented Reality
  • Scanning & Imaging
  • Security & Surveillance
  • Marketing & Advertising
  • Image Search
  • Others
By End Users
  • Banking, Financial Services & Insurance (BFSI)
  • Consumer Goods and Retail
  • Telecommunications and IT
  • Healthcare
  • Media and Entertainment
  • Government
  • Education
  • Others

By Deployment Type
  • On-Premises
  • Cloud

By Technology
  • Code Recognition
  • Digital Image Processing
  • Facial Recognition
  • Pattern Recognition
  • Optical Character Recognition

By Component
  • Software
  • Hardware
  • Service
  • Managed Services
  • Professional Services
  • Training, support and maintenance Services

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 Need on Security Across Industry Verticals
      • 3.2.2. Growing Digitalization and Wider Adoption of Social Media
    • 3.3. Market Challenges
      • 3.3.1. Limited Resolution Size and Storage
      • 3.3.2. Lack of Deployment in Emerging Countries
    • 3.4. Market Trends
      • 3.4.1. Emergence of Computer Vision Technology
      • 3.4.2. Growing Use of Text Recognition and Information Extraction
  • 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 Image Recognition, by Type, Application, End Users, Deployment Type, Technology, Component and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Image Recognition (Value)
      • 5.2.1. Global Image Recognition by: Type (Value)
        • 5.2.1.1. Optical Character Recognition
        • 5.2.1.2. Pattern and Gradient Matching
        • 5.2.1.3. Object recognition
        • 5.2.1.4. Barcode Recognition
        • 5.2.1.5. Facial recognition
      • 5.2.2. Global Image Recognition by: Application (Value)
        • 5.2.2.1. Augmented Reality
        • 5.2.2.2. Scanning & Imaging
        • 5.2.2.3. Security & Surveillance
        • 5.2.2.4. Marketing & Advertising
        • 5.2.2.5. Image Search
        • 5.2.2.6. Others
      • 5.2.3. Global Image Recognition by: End Users (Value)
        • 5.2.3.1. Banking, Financial Services & Insurance (BFSI)
        • 5.2.3.2. Consumer Goods and Retail
        • 5.2.3.3. Telecommunications and IT
        • 5.2.3.4. Healthcare
        • 5.2.3.5. Media and Entertainment
        • 5.2.3.6. Government
        • 5.2.3.7. Education
        • 5.2.3.8. Others
      • 5.2.4. Global Image Recognition by: Deployment Type (Value)
        • 5.2.4.1. On-Premises
        • 5.2.4.2. Cloud
      • 5.2.5. Global Image Recognition by: Technology (Value)
        • 5.2.5.1. Code Recognition
        • 5.2.5.2. Digital Image Processing
        • 5.2.5.3. Facial Recognition
        • 5.2.5.4. Pattern Recognition
        • 5.2.5.5. Optical Character Recognition
      • 5.2.6. Global Image Recognition by: Component (Value)
        • 5.2.6.1. Software
        • 5.2.6.2. Hardware
        • 5.2.6.3. Service
        • 5.2.6.4. Managed Services
        • 5.2.6.5. Professional Services
        • 5.2.6.6. Training, support and maintenance Services
      • 5.2.7. Global Image Recognition Region
        • 5.2.7.1. South America
          • 5.2.7.1.1. Brazil
          • 5.2.7.1.2. Argentina
          • 5.2.7.1.3. Rest of South America
        • 5.2.7.2. Asia Pacific
          • 5.2.7.2.1. China
          • 5.2.7.2.2. Japan
          • 5.2.7.2.3. India
          • 5.2.7.2.4. South Korea
          • 5.2.7.2.5. Taiwan
          • 5.2.7.2.6. Australia
          • 5.2.7.2.7. Rest of Asia-Pacific
        • 5.2.7.3. Europe
          • 5.2.7.3.1. Germany
          • 5.2.7.3.2. France
          • 5.2.7.3.3. Italy
          • 5.2.7.3.4. United Kingdom
          • 5.2.7.3.5. Netherlands
          • 5.2.7.3.6. Rest of Europe
        • 5.2.7.4. MEA
          • 5.2.7.4.1. Middle East
          • 5.2.7.4.2. Africa
        • 5.2.7.5. North America
          • 5.2.7.5.1. United States
          • 5.2.7.5.2. Canada
          • 5.2.7.5.3. Mexico
  • 6. Image Recognition: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Sharp Vision Software (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. Catchoom (Spain)
        • 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. Hitachi (Japan)
        • 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. Itraff Technology (Poland)
        • 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. Wikitude (Austria)
        • 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. Blipper (United Kingdom)
        • 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. Toshiba (Japan)
        • 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
  • 7. Global Image Recognition Sale, by Type, Application, End Users, Deployment Type, Technology, Component and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Image Recognition (Value)
      • 7.2.1. Global Image Recognition by: Type (Value)
        • 7.2.1.1. Optical Character Recognition
        • 7.2.1.2. Pattern and Gradient Matching
        • 7.2.1.3. Object recognition
        • 7.2.1.4. Barcode Recognition
        • 7.2.1.5. Facial recognition
      • 7.2.2. Global Image Recognition by: Application (Value)
        • 7.2.2.1. Augmented Reality
        • 7.2.2.2. Scanning & Imaging
        • 7.2.2.3. Security & Surveillance
        • 7.2.2.4. Marketing & Advertising
        • 7.2.2.5. Image Search
        • 7.2.2.6. Others
      • 7.2.3. Global Image Recognition by: End Users (Value)
        • 7.2.3.1. Banking, Financial Services & Insurance (BFSI)
        • 7.2.3.2. Consumer Goods and Retail
        • 7.2.3.3. Telecommunications and IT
        • 7.2.3.4. Healthcare
        • 7.2.3.5. Media and Entertainment
        • 7.2.3.6. Government
        • 7.2.3.7. Education
        • 7.2.3.8. Others
      • 7.2.4. Global Image Recognition by: Deployment Type (Value)
        • 7.2.4.1. On-Premises
        • 7.2.4.2. Cloud
      • 7.2.5. Global Image Recognition by: Technology (Value)
        • 7.2.5.1. Code Recognition
        • 7.2.5.2. Digital Image Processing
        • 7.2.5.3. Facial Recognition
        • 7.2.5.4. Pattern Recognition
        • 7.2.5.5. Optical Character Recognition
      • 7.2.6. Global Image Recognition by: Component (Value)
        • 7.2.6.1. Software
        • 7.2.6.2. Hardware
        • 7.2.6.3. Service
        • 7.2.6.4. Managed Services
        • 7.2.6.5. Professional Services
        • 7.2.6.6. Training, support and maintenance Services
      • 7.2.7. Global Image Recognition Region
        • 7.2.7.1. South America
          • 7.2.7.1.1. Brazil
          • 7.2.7.1.2. Argentina
          • 7.2.7.1.3. Rest of South America
        • 7.2.7.2. Asia Pacific
          • 7.2.7.2.1. China
          • 7.2.7.2.2. Japan
          • 7.2.7.2.3. India
          • 7.2.7.2.4. South Korea
          • 7.2.7.2.5. Taiwan
          • 7.2.7.2.6. Australia
          • 7.2.7.2.7. Rest of Asia-Pacific
        • 7.2.7.3. Europe
          • 7.2.7.3.1. Germany
          • 7.2.7.3.2. France
          • 7.2.7.3.3. Italy
          • 7.2.7.3.4. United Kingdom
          • 7.2.7.3.5. Netherlands
          • 7.2.7.3.6. Rest of Europe
        • 7.2.7.4. MEA
          • 7.2.7.4.1. Middle East
          • 7.2.7.4.2. Africa
        • 7.2.7.5. North America
          • 7.2.7.5.1. United States
          • 7.2.7.5.2. Canada
          • 7.2.7.5.3. Mexico
  • 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. Image Recognition: by Type(USD Million)
  • Table 2. Image Recognition Optical Character Recognition , by Region USD Million (2015-2020)
  • Table 3. Image Recognition Pattern and Gradient Matching , by Region USD Million (2015-2020)
  • Table 4. Image Recognition Object recognition , by Region USD Million (2015-2020)
  • Table 5. Image Recognition Barcode Recognition , by Region USD Million (2015-2020)
  • Table 6. Image Recognition Facial recognition , by Region USD Million (2015-2020)
  • Table 7. Image Recognition: by Application(USD Million)
  • Table 8. Image Recognition Augmented Reality , by Region USD Million (2015-2020)
  • Table 9. Image Recognition Scanning & Imaging , by Region USD Million (2015-2020)
  • Table 10. Image Recognition Security & Surveillance , by Region USD Million (2015-2020)
  • Table 11. Image Recognition Marketing & Advertising , by Region USD Million (2015-2020)
  • Table 12. Image Recognition Image Search , by Region USD Million (2015-2020)
  • Table 13. Image Recognition Others , by Region USD Million (2015-2020)
  • Table 14. Image Recognition: by End Users(USD Million)
  • Table 15. Image Recognition Banking, Financial Services & Insurance (BFSI) , by Region USD Million (2015-2020)
  • Table 16. Image Recognition Consumer Goods and Retail , by Region USD Million (2015-2020)
  • Table 17. Image Recognition Telecommunications and IT , by Region USD Million (2015-2020)
  • Table 18. Image Recognition Healthcare , by Region USD Million (2015-2020)
  • Table 19. Image Recognition Media and Entertainment , by Region USD Million (2015-2020)
  • Table 20. Image Recognition Government , by Region USD Million (2015-2020)
  • Table 21. Image Recognition Education , by Region USD Million (2015-2020)
  • Table 22. Image Recognition Others , by Region USD Million (2015-2020)
  • Table 23. Image Recognition: by Deployment Type(USD Million)
  • Table 24. Image Recognition On-Premises , by Region USD Million (2015-2020)
  • Table 25. Image Recognition Cloud , by Region USD Million (2015-2020)
  • Table 26. Image Recognition: by Technology(USD Million)
  • Table 27. Image Recognition Code Recognition , by Region USD Million (2015-2020)
  • Table 28. Image Recognition Digital Image Processing , by Region USD Million (2015-2020)
  • Table 29. Image Recognition Facial Recognition , by Region USD Million (2015-2020)
  • Table 30. Image Recognition Pattern Recognition , by Region USD Million (2015-2020)
  • Table 31. Image Recognition Optical Character Recognition , by Region USD Million (2015-2020)
  • Table 32. Image Recognition: by Component(USD Million)
  • Table 33. Image Recognition Software , by Region USD Million (2015-2020)
  • Table 34. Image Recognition Hardware , by Region USD Million (2015-2020)
  • Table 35. Image Recognition Service , by Region USD Million (2015-2020)
  • Table 36. Image Recognition Managed Services , by Region USD Million (2015-2020)
  • Table 37. Image Recognition Professional Services , by Region USD Million (2015-2020)
  • Table 38. Image Recognition Training, support and maintenance Services , by Region USD Million (2015-2020)
  • Table 39. South America Image Recognition, by Country USD Million (2015-2020)
  • Table 40. South America Image Recognition, by Type USD Million (2015-2020)
  • Table 41. South America Image Recognition, by Application USD Million (2015-2020)
  • Table 42. South America Image Recognition, by End Users USD Million (2015-2020)
  • Table 43. South America Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 44. South America Image Recognition, by Technology USD Million (2015-2020)
  • Table 45. South America Image Recognition, by Component USD Million (2015-2020)
  • Table 46. Brazil Image Recognition, by Type USD Million (2015-2020)
  • Table 47. Brazil Image Recognition, by Application USD Million (2015-2020)
  • Table 48. Brazil Image Recognition, by End Users USD Million (2015-2020)
  • Table 49. Brazil Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 50. Brazil Image Recognition, by Technology USD Million (2015-2020)
  • Table 51. Brazil Image Recognition, by Component USD Million (2015-2020)
  • Table 52. Argentina Image Recognition, by Type USD Million (2015-2020)
  • Table 53. Argentina Image Recognition, by Application USD Million (2015-2020)
  • Table 54. Argentina Image Recognition, by End Users USD Million (2015-2020)
  • Table 55. Argentina Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 56. Argentina Image Recognition, by Technology USD Million (2015-2020)
  • Table 57. Argentina Image Recognition, by Component USD Million (2015-2020)
  • Table 58. Rest of South America Image Recognition, by Type USD Million (2015-2020)
  • Table 59. Rest of South America Image Recognition, by Application USD Million (2015-2020)
  • Table 60. Rest of South America Image Recognition, by End Users USD Million (2015-2020)
  • Table 61. Rest of South America Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 62. Rest of South America Image Recognition, by Technology USD Million (2015-2020)
  • Table 63. Rest of South America Image Recognition, by Component USD Million (2015-2020)
  • Table 64. Asia Pacific Image Recognition, by Country USD Million (2015-2020)
  • Table 65. Asia Pacific Image Recognition, by Type USD Million (2015-2020)
  • Table 66. Asia Pacific Image Recognition, by Application USD Million (2015-2020)
  • Table 67. Asia Pacific Image Recognition, by End Users USD Million (2015-2020)
  • Table 68. Asia Pacific Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 69. Asia Pacific Image Recognition, by Technology USD Million (2015-2020)
  • Table 70. Asia Pacific Image Recognition, by Component USD Million (2015-2020)
  • Table 71. China Image Recognition, by Type USD Million (2015-2020)
  • Table 72. China Image Recognition, by Application USD Million (2015-2020)
  • Table 73. China Image Recognition, by End Users USD Million (2015-2020)
  • Table 74. China Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 75. China Image Recognition, by Technology USD Million (2015-2020)
  • Table 76. China Image Recognition, by Component USD Million (2015-2020)
  • Table 77. Japan Image Recognition, by Type USD Million (2015-2020)
  • Table 78. Japan Image Recognition, by Application USD Million (2015-2020)
  • Table 79. Japan Image Recognition, by End Users USD Million (2015-2020)
  • Table 80. Japan Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 81. Japan Image Recognition, by Technology USD Million (2015-2020)
  • Table 82. Japan Image Recognition, by Component USD Million (2015-2020)
  • Table 83. India Image Recognition, by Type USD Million (2015-2020)
  • Table 84. India Image Recognition, by Application USD Million (2015-2020)
  • Table 85. India Image Recognition, by End Users USD Million (2015-2020)
  • Table 86. India Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 87. India Image Recognition, by Technology USD Million (2015-2020)
  • Table 88. India Image Recognition, by Component USD Million (2015-2020)
  • Table 89. South Korea Image Recognition, by Type USD Million (2015-2020)
  • Table 90. South Korea Image Recognition, by Application USD Million (2015-2020)
  • Table 91. South Korea Image Recognition, by End Users USD Million (2015-2020)
  • Table 92. South Korea Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 93. South Korea Image Recognition, by Technology USD Million (2015-2020)
  • Table 94. South Korea Image Recognition, by Component USD Million (2015-2020)
  • Table 95. Taiwan Image Recognition, by Type USD Million (2015-2020)
  • Table 96. Taiwan Image Recognition, by Application USD Million (2015-2020)
  • Table 97. Taiwan Image Recognition, by End Users USD Million (2015-2020)
  • Table 98. Taiwan Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 99. Taiwan Image Recognition, by Technology USD Million (2015-2020)
  • Table 100. Taiwan Image Recognition, by Component USD Million (2015-2020)
  • Table 101. Australia Image Recognition, by Type USD Million (2015-2020)
  • Table 102. Australia Image Recognition, by Application USD Million (2015-2020)
  • Table 103. Australia Image Recognition, by End Users USD Million (2015-2020)
  • Table 104. Australia Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 105. Australia Image Recognition, by Technology USD Million (2015-2020)
  • Table 106. Australia Image Recognition, by Component USD Million (2015-2020)
  • Table 107. Rest of Asia-Pacific Image Recognition, by Type USD Million (2015-2020)
  • Table 108. Rest of Asia-Pacific Image Recognition, by Application USD Million (2015-2020)
  • Table 109. Rest of Asia-Pacific Image Recognition, by End Users USD Million (2015-2020)
  • Table 110. Rest of Asia-Pacific Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 111. Rest of Asia-Pacific Image Recognition, by Technology USD Million (2015-2020)
  • Table 112. Rest of Asia-Pacific Image Recognition, by Component USD Million (2015-2020)
  • Table 113. Europe Image Recognition, by Country USD Million (2015-2020)
  • Table 114. Europe Image Recognition, by Type USD Million (2015-2020)
  • Table 115. Europe Image Recognition, by Application USD Million (2015-2020)
  • Table 116. Europe Image Recognition, by End Users USD Million (2015-2020)
  • Table 117. Europe Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 118. Europe Image Recognition, by Technology USD Million (2015-2020)
  • Table 119. Europe Image Recognition, by Component USD Million (2015-2020)
  • Table 120. Germany Image Recognition, by Type USD Million (2015-2020)
  • Table 121. Germany Image Recognition, by Application USD Million (2015-2020)
  • Table 122. Germany Image Recognition, by End Users USD Million (2015-2020)
  • Table 123. Germany Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 124. Germany Image Recognition, by Technology USD Million (2015-2020)
  • Table 125. Germany Image Recognition, by Component USD Million (2015-2020)
  • Table 126. France Image Recognition, by Type USD Million (2015-2020)
  • Table 127. France Image Recognition, by Application USD Million (2015-2020)
  • Table 128. France Image Recognition, by End Users USD Million (2015-2020)
  • Table 129. France Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 130. France Image Recognition, by Technology USD Million (2015-2020)
  • Table 131. France Image Recognition, by Component USD Million (2015-2020)
  • Table 132. Italy Image Recognition, by Type USD Million (2015-2020)
  • Table 133. Italy Image Recognition, by Application USD Million (2015-2020)
  • Table 134. Italy Image Recognition, by End Users USD Million (2015-2020)
  • Table 135. Italy Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 136. Italy Image Recognition, by Technology USD Million (2015-2020)
  • Table 137. Italy Image Recognition, by Component USD Million (2015-2020)
  • Table 138. United Kingdom Image Recognition, by Type USD Million (2015-2020)
  • Table 139. United Kingdom Image Recognition, by Application USD Million (2015-2020)
  • Table 140. United Kingdom Image Recognition, by End Users USD Million (2015-2020)
  • Table 141. United Kingdom Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 142. United Kingdom Image Recognition, by Technology USD Million (2015-2020)
  • Table 143. United Kingdom Image Recognition, by Component USD Million (2015-2020)
  • Table 144. Netherlands Image Recognition, by Type USD Million (2015-2020)
  • Table 145. Netherlands Image Recognition, by Application USD Million (2015-2020)
  • Table 146. Netherlands Image Recognition, by End Users USD Million (2015-2020)
  • Table 147. Netherlands Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 148. Netherlands Image Recognition, by Technology USD Million (2015-2020)
  • Table 149. Netherlands Image Recognition, by Component USD Million (2015-2020)
  • Table 150. Rest of Europe Image Recognition, by Type USD Million (2015-2020)
  • Table 151. Rest of Europe Image Recognition, by Application USD Million (2015-2020)
  • Table 152. Rest of Europe Image Recognition, by End Users USD Million (2015-2020)
  • Table 153. Rest of Europe Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 154. Rest of Europe Image Recognition, by Technology USD Million (2015-2020)
  • Table 155. Rest of Europe Image Recognition, by Component USD Million (2015-2020)
  • Table 156. MEA Image Recognition, by Country USD Million (2015-2020)
  • Table 157. MEA Image Recognition, by Type USD Million (2015-2020)
  • Table 158. MEA Image Recognition, by Application USD Million (2015-2020)
  • Table 159. MEA Image Recognition, by End Users USD Million (2015-2020)
  • Table 160. MEA Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 161. MEA Image Recognition, by Technology USD Million (2015-2020)
  • Table 162. MEA Image Recognition, by Component USD Million (2015-2020)
  • Table 163. Middle East Image Recognition, by Type USD Million (2015-2020)
  • Table 164. Middle East Image Recognition, by Application USD Million (2015-2020)
  • Table 165. Middle East Image Recognition, by End Users USD Million (2015-2020)
  • Table 166. Middle East Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 167. Middle East Image Recognition, by Technology USD Million (2015-2020)
  • Table 168. Middle East Image Recognition, by Component USD Million (2015-2020)
  • Table 169. Africa Image Recognition, by Type USD Million (2015-2020)
  • Table 170. Africa Image Recognition, by Application USD Million (2015-2020)
  • Table 171. Africa Image Recognition, by End Users USD Million (2015-2020)
  • Table 172. Africa Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 173. Africa Image Recognition, by Technology USD Million (2015-2020)
  • Table 174. Africa Image Recognition, by Component USD Million (2015-2020)
  • Table 175. North America Image Recognition, by Country USD Million (2015-2020)
  • Table 176. North America Image Recognition, by Type USD Million (2015-2020)
  • Table 177. North America Image Recognition, by Application USD Million (2015-2020)
  • Table 178. North America Image Recognition, by End Users USD Million (2015-2020)
  • Table 179. North America Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 180. North America Image Recognition, by Technology USD Million (2015-2020)
  • Table 181. North America Image Recognition, by Component USD Million (2015-2020)
  • Table 182. United States Image Recognition, by Type USD Million (2015-2020)
  • Table 183. United States Image Recognition, by Application USD Million (2015-2020)
  • Table 184. United States Image Recognition, by End Users USD Million (2015-2020)
  • Table 185. United States Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 186. United States Image Recognition, by Technology USD Million (2015-2020)
  • Table 187. United States Image Recognition, by Component USD Million (2015-2020)
  • Table 188. Canada Image Recognition, by Type USD Million (2015-2020)
  • Table 189. Canada Image Recognition, by Application USD Million (2015-2020)
  • Table 190. Canada Image Recognition, by End Users USD Million (2015-2020)
  • Table 191. Canada Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 192. Canada Image Recognition, by Technology USD Million (2015-2020)
  • Table 193. Canada Image Recognition, by Component USD Million (2015-2020)
  • Table 194. Mexico Image Recognition, by Type USD Million (2015-2020)
  • Table 195. Mexico Image Recognition, by Application USD Million (2015-2020)
  • Table 196. Mexico Image Recognition, by End Users USD Million (2015-2020)
  • Table 197. Mexico Image Recognition, by Deployment Type USD Million (2015-2020)
  • Table 198. Mexico Image Recognition, by Technology USD Million (2015-2020)
  • Table 199. Mexico Image Recognition, by Component USD Million (2015-2020)
  • Table 200. Company Basic Information, Sales Area and Its Competitors
  • Table 201. Company Basic Information, Sales Area and Its Competitors
  • Table 202. Company Basic Information, Sales Area and Its Competitors
  • Table 203. Company Basic Information, Sales Area and Its Competitors
  • Table 204. Company Basic Information, Sales Area and Its Competitors
  • Table 205. Company Basic Information, Sales Area and Its Competitors
  • Table 206. Company Basic Information, Sales Area and Its Competitors
  • Table 207. Image Recognition: by Type(USD Million)
  • Table 208. Image Recognition Optical Character Recognition , by Region USD Million (2021-2026)
  • Table 209. Image Recognition Pattern and Gradient Matching , by Region USD Million (2021-2026)
  • Table 210. Image Recognition Object recognition , by Region USD Million (2021-2026)
  • Table 211. Image Recognition Barcode Recognition , by Region USD Million (2021-2026)
  • Table 212. Image Recognition Facial recognition , by Region USD Million (2021-2026)
  • Table 213. Image Recognition: by Application(USD Million)
  • Table 214. Image Recognition Augmented Reality , by Region USD Million (2021-2026)
  • Table 215. Image Recognition Scanning & Imaging , by Region USD Million (2021-2026)
  • Table 216. Image Recognition Security & Surveillance , by Region USD Million (2021-2026)
  • Table 217. Image Recognition Marketing & Advertising , by Region USD Million (2021-2026)
  • Table 218. Image Recognition Image Search , by Region USD Million (2021-2026)
  • Table 219. Image Recognition Others , by Region USD Million (2021-2026)
  • Table 220. Image Recognition: by End Users(USD Million)
  • Table 221. Image Recognition Banking, Financial Services & Insurance (BFSI) , by Region USD Million (2021-2026)
  • Table 222. Image Recognition Consumer Goods and Retail , by Region USD Million (2021-2026)
  • Table 223. Image Recognition Telecommunications and IT , by Region USD Million (2021-2026)
  • Table 224. Image Recognition Healthcare , by Region USD Million (2021-2026)
  • Table 225. Image Recognition Media and Entertainment , by Region USD Million (2021-2026)
  • Table 226. Image Recognition Government , by Region USD Million (2021-2026)
  • Table 227. Image Recognition Education , by Region USD Million (2021-2026)
  • Table 228. Image Recognition Others , by Region USD Million (2021-2026)
  • Table 229. Image Recognition: by Deployment Type(USD Million)
  • Table 230. Image Recognition On-Premises , by Region USD Million (2021-2026)
  • Table 231. Image Recognition Cloud , by Region USD Million (2021-2026)
  • Table 232. Image Recognition: by Technology(USD Million)
  • Table 233. Image Recognition Code Recognition , by Region USD Million (2021-2026)
  • Table 234. Image Recognition Digital Image Processing , by Region USD Million (2021-2026)
  • Table 235. Image Recognition Facial Recognition , by Region USD Million (2021-2026)
  • Table 236. Image Recognition Pattern Recognition , by Region USD Million (2021-2026)
  • Table 237. Image Recognition Optical Character Recognition , by Region USD Million (2021-2026)
  • Table 238. Image Recognition: by Component(USD Million)
  • Table 239. Image Recognition Software , by Region USD Million (2021-2026)
  • Table 240. Image Recognition Hardware , by Region USD Million (2021-2026)
  • Table 241. Image Recognition Service , by Region USD Million (2021-2026)
  • Table 242. Image Recognition Managed Services , by Region USD Million (2021-2026)
  • Table 243. Image Recognition Professional Services , by Region USD Million (2021-2026)
  • Table 244. Image Recognition Training, support and maintenance Services , by Region USD Million (2021-2026)
  • Table 245. South America Image Recognition, by Country USD Million (2021-2026)
  • Table 246. South America Image Recognition, by Type USD Million (2021-2026)
  • Table 247. South America Image Recognition, by Application USD Million (2021-2026)
  • Table 248. South America Image Recognition, by End Users USD Million (2021-2026)
  • Table 249. South America Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 250. South America Image Recognition, by Technology USD Million (2021-2026)
  • Table 251. South America Image Recognition, by Component USD Million (2021-2026)
  • Table 252. Brazil Image Recognition, by Type USD Million (2021-2026)
  • Table 253. Brazil Image Recognition, by Application USD Million (2021-2026)
  • Table 254. Brazil Image Recognition, by End Users USD Million (2021-2026)
  • Table 255. Brazil Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 256. Brazil Image Recognition, by Technology USD Million (2021-2026)
  • Table 257. Brazil Image Recognition, by Component USD Million (2021-2026)
  • Table 258. Argentina Image Recognition, by Type USD Million (2021-2026)
  • Table 259. Argentina Image Recognition, by Application USD Million (2021-2026)
  • Table 260. Argentina Image Recognition, by End Users USD Million (2021-2026)
  • Table 261. Argentina Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 262. Argentina Image Recognition, by Technology USD Million (2021-2026)
  • Table 263. Argentina Image Recognition, by Component USD Million (2021-2026)
  • Table 264. Rest of South America Image Recognition, by Type USD Million (2021-2026)
  • Table 265. Rest of South America Image Recognition, by Application USD Million (2021-2026)
  • Table 266. Rest of South America Image Recognition, by End Users USD Million (2021-2026)
  • Table 267. Rest of South America Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 268. Rest of South America Image Recognition, by Technology USD Million (2021-2026)
  • Table 269. Rest of South America Image Recognition, by Component USD Million (2021-2026)
  • Table 270. Asia Pacific Image Recognition, by Country USD Million (2021-2026)
  • Table 271. Asia Pacific Image Recognition, by Type USD Million (2021-2026)
  • Table 272. Asia Pacific Image Recognition, by Application USD Million (2021-2026)
  • Table 273. Asia Pacific Image Recognition, by End Users USD Million (2021-2026)
  • Table 274. Asia Pacific Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 275. Asia Pacific Image Recognition, by Technology USD Million (2021-2026)
  • Table 276. Asia Pacific Image Recognition, by Component USD Million (2021-2026)
  • Table 277. China Image Recognition, by Type USD Million (2021-2026)
  • Table 278. China Image Recognition, by Application USD Million (2021-2026)
  • Table 279. China Image Recognition, by End Users USD Million (2021-2026)
  • Table 280. China Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 281. China Image Recognition, by Technology USD Million (2021-2026)
  • Table 282. China Image Recognition, by Component USD Million (2021-2026)
  • Table 283. Japan Image Recognition, by Type USD Million (2021-2026)
  • Table 284. Japan Image Recognition, by Application USD Million (2021-2026)
  • Table 285. Japan Image Recognition, by End Users USD Million (2021-2026)
  • Table 286. Japan Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 287. Japan Image Recognition, by Technology USD Million (2021-2026)
  • Table 288. Japan Image Recognition, by Component USD Million (2021-2026)
  • Table 289. India Image Recognition, by Type USD Million (2021-2026)
  • Table 290. India Image Recognition, by Application USD Million (2021-2026)
  • Table 291. India Image Recognition, by End Users USD Million (2021-2026)
  • Table 292. India Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 293. India Image Recognition, by Technology USD Million (2021-2026)
  • Table 294. India Image Recognition, by Component USD Million (2021-2026)
  • Table 295. South Korea Image Recognition, by Type USD Million (2021-2026)
  • Table 296. South Korea Image Recognition, by Application USD Million (2021-2026)
  • Table 297. South Korea Image Recognition, by End Users USD Million (2021-2026)
  • Table 298. South Korea Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 299. South Korea Image Recognition, by Technology USD Million (2021-2026)
  • Table 300. South Korea Image Recognition, by Component USD Million (2021-2026)
  • Table 301. Taiwan Image Recognition, by Type USD Million (2021-2026)
  • Table 302. Taiwan Image Recognition, by Application USD Million (2021-2026)
  • Table 303. Taiwan Image Recognition, by End Users USD Million (2021-2026)
  • Table 304. Taiwan Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 305. Taiwan Image Recognition, by Technology USD Million (2021-2026)
  • Table 306. Taiwan Image Recognition, by Component USD Million (2021-2026)
  • Table 307. Australia Image Recognition, by Type USD Million (2021-2026)
  • Table 308. Australia Image Recognition, by Application USD Million (2021-2026)
  • Table 309. Australia Image Recognition, by End Users USD Million (2021-2026)
  • Table 310. Australia Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 311. Australia Image Recognition, by Technology USD Million (2021-2026)
  • Table 312. Australia Image Recognition, by Component USD Million (2021-2026)
  • Table 313. Rest of Asia-Pacific Image Recognition, by Type USD Million (2021-2026)
  • Table 314. Rest of Asia-Pacific Image Recognition, by Application USD Million (2021-2026)
  • Table 315. Rest of Asia-Pacific Image Recognition, by End Users USD Million (2021-2026)
  • Table 316. Rest of Asia-Pacific Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 317. Rest of Asia-Pacific Image Recognition, by Technology USD Million (2021-2026)
  • Table 318. Rest of Asia-Pacific Image Recognition, by Component USD Million (2021-2026)
  • Table 319. Europe Image Recognition, by Country USD Million (2021-2026)
  • Table 320. Europe Image Recognition, by Type USD Million (2021-2026)
  • Table 321. Europe Image Recognition, by Application USD Million (2021-2026)
  • Table 322. Europe Image Recognition, by End Users USD Million (2021-2026)
  • Table 323. Europe Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 324. Europe Image Recognition, by Technology USD Million (2021-2026)
  • Table 325. Europe Image Recognition, by Component USD Million (2021-2026)
  • Table 326. Germany Image Recognition, by Type USD Million (2021-2026)
  • Table 327. Germany Image Recognition, by Application USD Million (2021-2026)
  • Table 328. Germany Image Recognition, by End Users USD Million (2021-2026)
  • Table 329. Germany Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 330. Germany Image Recognition, by Technology USD Million (2021-2026)
  • Table 331. Germany Image Recognition, by Component USD Million (2021-2026)
  • Table 332. France Image Recognition, by Type USD Million (2021-2026)
  • Table 333. France Image Recognition, by Application USD Million (2021-2026)
  • Table 334. France Image Recognition, by End Users USD Million (2021-2026)
  • Table 335. France Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 336. France Image Recognition, by Technology USD Million (2021-2026)
  • Table 337. France Image Recognition, by Component USD Million (2021-2026)
  • Table 338. Italy Image Recognition, by Type USD Million (2021-2026)
  • Table 339. Italy Image Recognition, by Application USD Million (2021-2026)
  • Table 340. Italy Image Recognition, by End Users USD Million (2021-2026)
  • Table 341. Italy Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 342. Italy Image Recognition, by Technology USD Million (2021-2026)
  • Table 343. Italy Image Recognition, by Component USD Million (2021-2026)
  • Table 344. United Kingdom Image Recognition, by Type USD Million (2021-2026)
  • Table 345. United Kingdom Image Recognition, by Application USD Million (2021-2026)
  • Table 346. United Kingdom Image Recognition, by End Users USD Million (2021-2026)
  • Table 347. United Kingdom Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 348. United Kingdom Image Recognition, by Technology USD Million (2021-2026)
  • Table 349. United Kingdom Image Recognition, by Component USD Million (2021-2026)
  • Table 350. Netherlands Image Recognition, by Type USD Million (2021-2026)
  • Table 351. Netherlands Image Recognition, by Application USD Million (2021-2026)
  • Table 352. Netherlands Image Recognition, by End Users USD Million (2021-2026)
  • Table 353. Netherlands Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 354. Netherlands Image Recognition, by Technology USD Million (2021-2026)
  • Table 355. Netherlands Image Recognition, by Component USD Million (2021-2026)
  • Table 356. Rest of Europe Image Recognition, by Type USD Million (2021-2026)
  • Table 357. Rest of Europe Image Recognition, by Application USD Million (2021-2026)
  • Table 358. Rest of Europe Image Recognition, by End Users USD Million (2021-2026)
  • Table 359. Rest of Europe Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 360. Rest of Europe Image Recognition, by Technology USD Million (2021-2026)
  • Table 361. Rest of Europe Image Recognition, by Component USD Million (2021-2026)
  • Table 362. MEA Image Recognition, by Country USD Million (2021-2026)
  • Table 363. MEA Image Recognition, by Type USD Million (2021-2026)
  • Table 364. MEA Image Recognition, by Application USD Million (2021-2026)
  • Table 365. MEA Image Recognition, by End Users USD Million (2021-2026)
  • Table 366. MEA Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 367. MEA Image Recognition, by Technology USD Million (2021-2026)
  • Table 368. MEA Image Recognition, by Component USD Million (2021-2026)
  • Table 369. Middle East Image Recognition, by Type USD Million (2021-2026)
  • Table 370. Middle East Image Recognition, by Application USD Million (2021-2026)
  • Table 371. Middle East Image Recognition, by End Users USD Million (2021-2026)
  • Table 372. Middle East Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 373. Middle East Image Recognition, by Technology USD Million (2021-2026)
  • Table 374. Middle East Image Recognition, by Component USD Million (2021-2026)
  • Table 375. Africa Image Recognition, by Type USD Million (2021-2026)
  • Table 376. Africa Image Recognition, by Application USD Million (2021-2026)
  • Table 377. Africa Image Recognition, by End Users USD Million (2021-2026)
  • Table 378. Africa Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 379. Africa Image Recognition, by Technology USD Million (2021-2026)
  • Table 380. Africa Image Recognition, by Component USD Million (2021-2026)
  • Table 381. North America Image Recognition, by Country USD Million (2021-2026)
  • Table 382. North America Image Recognition, by Type USD Million (2021-2026)
  • Table 383. North America Image Recognition, by Application USD Million (2021-2026)
  • Table 384. North America Image Recognition, by End Users USD Million (2021-2026)
  • Table 385. North America Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 386. North America Image Recognition, by Technology USD Million (2021-2026)
  • Table 387. North America Image Recognition, by Component USD Million (2021-2026)
  • Table 388. United States Image Recognition, by Type USD Million (2021-2026)
  • Table 389. United States Image Recognition, by Application USD Million (2021-2026)
  • Table 390. United States Image Recognition, by End Users USD Million (2021-2026)
  • Table 391. United States Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 392. United States Image Recognition, by Technology USD Million (2021-2026)
  • Table 393. United States Image Recognition, by Component USD Million (2021-2026)
  • Table 394. Canada Image Recognition, by Type USD Million (2021-2026)
  • Table 395. Canada Image Recognition, by Application USD Million (2021-2026)
  • Table 396. Canada Image Recognition, by End Users USD Million (2021-2026)
  • Table 397. Canada Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 398. Canada Image Recognition, by Technology USD Million (2021-2026)
  • Table 399. Canada Image Recognition, by Component USD Million (2021-2026)
  • Table 400. Mexico Image Recognition, by Type USD Million (2021-2026)
  • Table 401. Mexico Image Recognition, by Application USD Million (2021-2026)
  • Table 402. Mexico Image Recognition, by End Users USD Million (2021-2026)
  • Table 403. Mexico Image Recognition, by Deployment Type USD Million (2021-2026)
  • Table 404. Mexico Image Recognition, by Technology USD Million (2021-2026)
  • Table 405. Mexico Image Recognition, by Component USD Million (2021-2026)
  • Table 406. Research Programs/Design for This Report
  • Table 407. Key Data Information from Secondary Sources
  • Table 408. 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 Image Recognition: by Type USD Million (2015-2020)
  • Figure 5. Global Image Recognition: by Application USD Million (2015-2020)
  • Figure 6. Global Image Recognition: by End Users USD Million (2015-2020)
  • Figure 7. Global Image Recognition: by Deployment Type USD Million (2015-2020)
  • Figure 8. Global Image Recognition: by Technology USD Million (2015-2020)
  • Figure 9. Global Image Recognition: by Component USD Million (2015-2020)
  • Figure 10. South America Image Recognition Share (%), by Country
  • Figure 11. Asia Pacific Image Recognition Share (%), by Country
  • Figure 12. Europe Image Recognition Share (%), by Country
  • Figure 13. MEA Image Recognition Share (%), by Country
  • Figure 14. North America Image Recognition Share (%), by Country
  • Figure 15. Global Image Recognition share by Players 2020 (%)
  • Figure 16. Global Image Recognition share by Players (Top 3) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Sharp Vision Software (United States) Revenue, Net Income and Gross profit
  • Figure 19. Sharp Vision Software (United States) Revenue: by Geography 2020
  • Figure 20. Catchoom (Spain) Revenue, Net Income and Gross profit
  • Figure 21. Catchoom (Spain) Revenue: by Geography 2020
  • Figure 22. Hitachi (Japan) Revenue, Net Income and Gross profit
  • Figure 23. Hitachi (Japan) Revenue: by Geography 2020
  • Figure 24. Itraff Technology (Poland) Revenue, Net Income and Gross profit
  • Figure 25. Itraff Technology (Poland) Revenue: by Geography 2020
  • Figure 26. Wikitude (Austria) Revenue, Net Income and Gross profit
  • Figure 27. Wikitude (Austria) Revenue: by Geography 2020
  • Figure 28. Blipper (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 29. Blipper (United Kingdom) Revenue: by Geography 2020
  • Figure 30. Toshiba (Japan) Revenue, Net Income and Gross profit
  • Figure 31. Toshiba (Japan) Revenue: by Geography 2020
  • Figure 32. Global Image Recognition: by Type USD Million (2021-2026)
  • Figure 33. Global Image Recognition: by Application USD Million (2021-2026)
  • Figure 34. Global Image Recognition: by End Users USD Million (2021-2026)
  • Figure 35. Global Image Recognition: by Deployment Type USD Million (2021-2026)
  • Figure 36. Global Image Recognition: by Technology USD Million (2021-2026)
  • Figure 37. Global Image Recognition: by Component USD Million (2021-2026)
  • Figure 38. South America Image Recognition Share (%), by Country
  • Figure 39. Asia Pacific Image Recognition Share (%), by Country
  • Figure 40. Europe Image Recognition Share (%), by Country
  • Figure 41. MEA Image Recognition Share (%), by Country
  • Figure 42. North America Image Recognition Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Sharp Vision Software (United States)
  • Catchoom (Spain)
  • Hitachi (Japan)
  • Itraff Technology (Poland)
  • Wikitude (Austria)
  • Blipper (United Kingdom)
  • Toshiba (Japan)
Additional players considered in the study are as follows:
NEC (Japan) , LTU Technologies (France) , Panasonic (Japan) , Qualcomm Technologies (United States) , Honeywell (United States)
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Sep 2021 204 Pages 74 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Image Recognition Market Quantitative research analysis
Global Image Recognition Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The Image Recognition market is expected to see a CAGR of 18.7% during projected year 2020 to 2026.
Top performing companies in the Global Image Recognition market are Sharp Vision Software (United States), Catchoom (Spain), Hitachi (Japan), Itraff Technology (Poland), Wikitude (Austria), Blipper (United Kingdom) and Toshiba (Japan), to name a few.
North America is dominating the Image Recognition Market.

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