Global Automated Number Plate Recognition Market

Automated Number Plate Recognition Comprehensive Study by Type (Fixed ANPR Systems, Mobile ANPR Systems, Portable ANPR Systems), Application (Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, Access Control, Others), Components (ANPR Camera, ANPR Software, Frame Grabber, Trigger, Others), Deployment Type (App-based, Web-based) Players and Region - Global Market Outlook to 2026

Automated Number Plate Recognition Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Snapshot:
Automatic number-plate recognition (ANPR) may be a technology that uses optical character recognition on images to scan vehicle registration plates to form vehicle location knowledge. It will use existing television system, road-rule social control cameras, or cameras specifically designed for the task. ANPR is employed by police forces round the world for enforcement functions, together with to visualize if a vehicle is registered or authorized.

Market Drivers
  • Deployment of ANPR Systems in Security and Surveillance
  • Rise in Instances of Traffic Enforcement Applications for Road Safety and Order

Market Trend
  • Enhancement in Software for Recognition Coupled with Artificial Intelligence

Restraints
  • Inconsistency in Number Plate Design

Opportunities
Increase in The Use of Cloud-Base Storage Services

Players Covered in the Study are:
Siemens AG (Germany), Kapsch TrafficCom AG (Austria), Vigilant Solutions (United States), Tattile SRL (Italy), Leonardo Company (Italy), Neology Inc. (United States), Genetec Inc. (Canada), Jenoptik Group (Germany), Conduent Inc. (United States) and Bosch Group (Germany)

Industry Insights:
In 2019, Motorola Solutions, a leader in mission-critical communications, acquired VaaS International Holdings, Inc., (VaaS), a provider of AI-driven image capture and analysis technology. This acquisition will be enhancing the command center software portfolio with the largest shareable database of vehicle location information.

What can be explored with Automated Number Plate Recognition study:
• Where Automated Number Plate Recognition industry stands in scaling its end use implementations
• What concrete benefits would result from scaled initiatives by Players
• Where Players should focus their investments cycle
• Key success factors and recommendations for upscaling future growth.
• Target Market / Country and Key Business Segments


Report Objectives / Segmentation Covered

By Type
  • Fixed ANPR Systems
  • Mobile ANPR Systems
  • Portable ANPR Systems
By Application
  • Traffic Management
  • Law Enforcement
  • Electronic Toll Collection
  • Parking Management
  • Access Control
  • Others
By Components
  • ANPR Camera
  • ANPR Software
  • Frame Grabber
  • Trigger
  • Others

By Deployment Type
  • App-based
  • Web-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. Deployment of ANPR Systems in Security and Surveillance
      • 3.2.2. Rise in Instances of Traffic Enforcement Applications for Road Safety and Order
    • 3.3. Market Challenges
      • 3.3.1. Misinterpretation of Ambiguous Characters on Number Plates
    • 3.4. Market Trends
      • 3.4.1. Enhancement in Software for Recognition Coupled with Artificial Intelligence
  • 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 Automated Number Plate Recognition, by Type, Application, Components, Deployment Type and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Automated Number Plate Recognition (Value)
      • 5.2.1. Global Automated Number Plate Recognition by: Type (Value)
        • 5.2.1.1. Fixed ANPR Systems
        • 5.2.1.2. Mobile ANPR Systems
        • 5.2.1.3. Portable ANPR Systems
      • 5.2.2. Global Automated Number Plate Recognition by: Application (Value)
        • 5.2.2.1. Traffic Management
        • 5.2.2.2. Law Enforcement
        • 5.2.2.3. Electronic Toll Collection
        • 5.2.2.4. Parking Management
        • 5.2.2.5. Access Control
        • 5.2.2.6. Others
      • 5.2.3. Global Automated Number Plate Recognition by: Components (Value)
        • 5.2.3.1. ANPR Camera
        • 5.2.3.2. ANPR Software
        • 5.2.3.3. Frame Grabber
        • 5.2.3.4. Trigger
        • 5.2.3.5. Others
      • 5.2.4. Global Automated Number Plate Recognition by: Deployment Type (Value)
        • 5.2.4.1. App-based
        • 5.2.4.2. Web-based
      • 5.2.5. Global Automated Number Plate Recognition Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Automated Number Plate Recognition: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Siemens AG (Germany)
        • 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. Kapsch TrafficCom AG (Austria)
        • 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. Vigilant Solutions (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. Tattile SRL (Italy)
        • 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. Leonardo Company (Italy)
        • 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. Neology Inc. (United States)
        • 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. Genetec Inc. (Canada)
        • 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. Jenoptik Group (Germany)
        • 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. Conduent Inc. (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. Bosch Group (Germany)
        • 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 Automated Number Plate Recognition Sale, by Type, Application, Components, Deployment Type and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Automated Number Plate Recognition (Value)
      • 7.2.1. Global Automated Number Plate Recognition by: Type (Value)
        • 7.2.1.1. Fixed ANPR Systems
        • 7.2.1.2. Mobile ANPR Systems
        • 7.2.1.3. Portable ANPR Systems
      • 7.2.2. Global Automated Number Plate Recognition by: Application (Value)
        • 7.2.2.1. Traffic Management
        • 7.2.2.2. Law Enforcement
        • 7.2.2.3. Electronic Toll Collection
        • 7.2.2.4. Parking Management
        • 7.2.2.5. Access Control
        • 7.2.2.6. Others
      • 7.2.3. Global Automated Number Plate Recognition by: Components (Value)
        • 7.2.3.1. ANPR Camera
        • 7.2.3.2. ANPR Software
        • 7.2.3.3. Frame Grabber
        • 7.2.3.4. Trigger
        • 7.2.3.5. Others
      • 7.2.4. Global Automated Number Plate Recognition by: Deployment Type (Value)
        • 7.2.4.1. App-based
        • 7.2.4.2. Web-based
      • 7.2.5. Global Automated Number Plate Recognition Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 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. Automated Number Plate Recognition: by Type(USD Million)
  • Table 2. Automated Number Plate Recognition Fixed ANPR Systems , by Region USD Million (2015-2020)
  • Table 3. Automated Number Plate Recognition Mobile ANPR Systems , by Region USD Million (2015-2020)
  • Table 4. Automated Number Plate Recognition Portable ANPR Systems , by Region USD Million (2015-2020)
  • Table 5. Automated Number Plate Recognition: by Application(USD Million)
  • Table 6. Automated Number Plate Recognition Traffic Management , by Region USD Million (2015-2020)
  • Table 7. Automated Number Plate Recognition Law Enforcement , by Region USD Million (2015-2020)
  • Table 8. Automated Number Plate Recognition Electronic Toll Collection , by Region USD Million (2015-2020)
  • Table 9. Automated Number Plate Recognition Parking Management , by Region USD Million (2015-2020)
  • Table 10. Automated Number Plate Recognition Access Control , by Region USD Million (2015-2020)
  • Table 11. Automated Number Plate Recognition Others , by Region USD Million (2015-2020)
  • Table 12. Automated Number Plate Recognition: by Components(USD Million)
  • Table 13. Automated Number Plate Recognition ANPR Camera , by Region USD Million (2015-2020)
  • Table 14. Automated Number Plate Recognition ANPR Software , by Region USD Million (2015-2020)
  • Table 15. Automated Number Plate Recognition Frame Grabber , by Region USD Million (2015-2020)
  • Table 16. Automated Number Plate Recognition Trigger , by Region USD Million (2015-2020)
  • Table 17. Automated Number Plate Recognition Others , by Region USD Million (2015-2020)
  • Table 18. Automated Number Plate Recognition: by Deployment Type(USD Million)
  • Table 19. Automated Number Plate Recognition App-based , by Region USD Million (2015-2020)
  • Table 20. Automated Number Plate Recognition Web-based , by Region USD Million (2015-2020)
  • Table 21. South America Automated Number Plate Recognition, by Country USD Million (2015-2020)
  • Table 22. South America Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 23. South America Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 24. South America Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 25. South America Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 26. Brazil Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 27. Brazil Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 28. Brazil Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 29. Brazil Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 30. Argentina Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 31. Argentina Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 32. Argentina Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 33. Argentina Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 34. Rest of South America Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 35. Rest of South America Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 36. Rest of South America Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 37. Rest of South America Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 38. Asia Pacific Automated Number Plate Recognition, by Country USD Million (2015-2020)
  • Table 39. Asia Pacific Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 40. Asia Pacific Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 41. Asia Pacific Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 42. Asia Pacific Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 43. China Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 44. China Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 45. China Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 46. China Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 47. Japan Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 48. Japan Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 49. Japan Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 50. Japan Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 51. India Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 52. India Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 53. India Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 54. India Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 55. South Korea Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 56. South Korea Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 57. South Korea Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 58. South Korea Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 59. Taiwan Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 60. Taiwan Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 61. Taiwan Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 62. Taiwan Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 63. Australia Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 64. Australia Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 65. Australia Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 66. Australia Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 69. Rest of Asia-Pacific Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 70. Rest of Asia-Pacific Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 71. Europe Automated Number Plate Recognition, by Country USD Million (2015-2020)
  • Table 72. Europe Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 73. Europe Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 74. Europe Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 75. Europe Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 76. Germany Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 77. Germany Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 78. Germany Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 79. Germany Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 80. France Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 81. France Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 82. France Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 83. France Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 84. Italy Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 85. Italy Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 86. Italy Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 87. Italy Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 88. United Kingdom Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 89. United Kingdom Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 90. United Kingdom Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 91. United Kingdom Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 92. Netherlands Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 93. Netherlands Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 94. Netherlands Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 95. Netherlands Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 96. Rest of Europe Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 97. Rest of Europe Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 98. Rest of Europe Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 99. Rest of Europe Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 100. MEA Automated Number Plate Recognition, by Country USD Million (2015-2020)
  • Table 101. MEA Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 102. MEA Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 103. MEA Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 104. MEA Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 105. Middle East Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 106. Middle East Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 107. Middle East Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 108. Middle East Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 109. Africa Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 110. Africa Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 111. Africa Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 112. Africa Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 113. North America Automated Number Plate Recognition, by Country USD Million (2015-2020)
  • Table 114. North America Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 115. North America Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 116. North America Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 117. North America Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 118. United States Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 119. United States Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 120. United States Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 121. United States Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 122. Canada Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 123. Canada Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 124. Canada Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 125. Canada Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 126. Mexico Automated Number Plate Recognition, by Type USD Million (2015-2020)
  • Table 127. Mexico Automated Number Plate Recognition, by Application USD Million (2015-2020)
  • Table 128. Mexico Automated Number Plate Recognition, by Components USD Million (2015-2020)
  • Table 129. Mexico Automated Number Plate Recognition, by Deployment Type USD Million (2015-2020)
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Automated Number Plate Recognition: by Type(USD Million)
  • Table 141. Automated Number Plate Recognition Fixed ANPR Systems , by Region USD Million (2021-2026)
  • Table 142. Automated Number Plate Recognition Mobile ANPR Systems , by Region USD Million (2021-2026)
  • Table 143. Automated Number Plate Recognition Portable ANPR Systems , by Region USD Million (2021-2026)
  • Table 144. Automated Number Plate Recognition: by Application(USD Million)
  • Table 145. Automated Number Plate Recognition Traffic Management , by Region USD Million (2021-2026)
  • Table 146. Automated Number Plate Recognition Law Enforcement , by Region USD Million (2021-2026)
  • Table 147. Automated Number Plate Recognition Electronic Toll Collection , by Region USD Million (2021-2026)
  • Table 148. Automated Number Plate Recognition Parking Management , by Region USD Million (2021-2026)
  • Table 149. Automated Number Plate Recognition Access Control , by Region USD Million (2021-2026)
  • Table 150. Automated Number Plate Recognition Others , by Region USD Million (2021-2026)
  • Table 151. Automated Number Plate Recognition: by Components(USD Million)
  • Table 152. Automated Number Plate Recognition ANPR Camera , by Region USD Million (2021-2026)
  • Table 153. Automated Number Plate Recognition ANPR Software , by Region USD Million (2021-2026)
  • Table 154. Automated Number Plate Recognition Frame Grabber , by Region USD Million (2021-2026)
  • Table 155. Automated Number Plate Recognition Trigger , by Region USD Million (2021-2026)
  • Table 156. Automated Number Plate Recognition Others , by Region USD Million (2021-2026)
  • Table 157. Automated Number Plate Recognition: by Deployment Type(USD Million)
  • Table 158. Automated Number Plate Recognition App-based , by Region USD Million (2021-2026)
  • Table 159. Automated Number Plate Recognition Web-based , by Region USD Million (2021-2026)
  • Table 160. South America Automated Number Plate Recognition, by Country USD Million (2021-2026)
  • Table 161. South America Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 162. South America Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 163. South America Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 164. South America Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 165. Brazil Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 166. Brazil Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 167. Brazil Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 168. Brazil Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 169. Argentina Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 170. Argentina Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 171. Argentina Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 172. Argentina Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 173. Rest of South America Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 174. Rest of South America Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 175. Rest of South America Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 176. Rest of South America Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 177. Asia Pacific Automated Number Plate Recognition, by Country USD Million (2021-2026)
  • Table 178. Asia Pacific Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 179. Asia Pacific Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 180. Asia Pacific Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 181. Asia Pacific Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 182. China Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 183. China Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 184. China Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 185. China Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 186. Japan Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 187. Japan Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 188. Japan Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 189. Japan Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 190. India Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 191. India Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 192. India Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 193. India Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 194. South Korea Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 195. South Korea Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 196. South Korea Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 197. South Korea Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 198. Taiwan Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 199. Taiwan Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 200. Taiwan Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 201. Taiwan Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 202. Australia Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 203. Australia Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 204. Australia Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 205. Australia Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 206. Rest of Asia-Pacific Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 207. Rest of Asia-Pacific Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 208. Rest of Asia-Pacific Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 209. Rest of Asia-Pacific Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 210. Europe Automated Number Plate Recognition, by Country USD Million (2021-2026)
  • Table 211. Europe Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 212. Europe Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 213. Europe Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 214. Europe Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 215. Germany Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 216. Germany Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 217. Germany Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 218. Germany Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 219. France Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 220. France Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 221. France Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 222. France Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 223. Italy Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 224. Italy Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 225. Italy Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 226. Italy Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 227. United Kingdom Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 228. United Kingdom Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 229. United Kingdom Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 230. United Kingdom Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 231. Netherlands Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 232. Netherlands Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 233. Netherlands Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 234. Netherlands Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 235. Rest of Europe Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 236. Rest of Europe Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 237. Rest of Europe Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 238. Rest of Europe Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 239. MEA Automated Number Plate Recognition, by Country USD Million (2021-2026)
  • Table 240. MEA Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 241. MEA Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 242. MEA Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 243. MEA Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 244. Middle East Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 245. Middle East Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 246. Middle East Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 247. Middle East Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 248. Africa Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 249. Africa Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 250. Africa Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 251. Africa Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 252. North America Automated Number Plate Recognition, by Country USD Million (2021-2026)
  • Table 253. North America Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 254. North America Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 255. North America Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 256. North America Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 257. United States Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 258. United States Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 259. United States Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 260. United States Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 261. Canada Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 262. Canada Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 263. Canada Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 264. Canada Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 265. Mexico Automated Number Plate Recognition, by Type USD Million (2021-2026)
  • Table 266. Mexico Automated Number Plate Recognition, by Application USD Million (2021-2026)
  • Table 267. Mexico Automated Number Plate Recognition, by Components USD Million (2021-2026)
  • Table 268. Mexico Automated Number Plate Recognition, by Deployment Type USD Million (2021-2026)
  • Table 269. Research Programs/Design for This Report
  • Table 270. Key Data Information from Secondary Sources
  • Table 271. 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 Automated Number Plate Recognition: by Type USD Million (2015-2020)
  • Figure 5. Global Automated Number Plate Recognition: by Application USD Million (2015-2020)
  • Figure 6. Global Automated Number Plate Recognition: by Components USD Million (2015-2020)
  • Figure 7. Global Automated Number Plate Recognition: by Deployment Type USD Million (2015-2020)
  • Figure 8. South America Automated Number Plate Recognition Share (%), by Country
  • Figure 9. Asia Pacific Automated Number Plate Recognition Share (%), by Country
  • Figure 10. Europe Automated Number Plate Recognition Share (%), by Country
  • Figure 11. MEA Automated Number Plate Recognition Share (%), by Country
  • Figure 12. North America Automated Number Plate Recognition Share (%), by Country
  • Figure 13. Global Automated Number Plate Recognition share by Players 2020 (%)
  • Figure 14. Global Automated Number Plate Recognition share by Players (Top 3) 2020(%)
  • Figure 15. Global Automated Number Plate Recognition share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 18. Siemens AG (Germany) Revenue: by Geography 2020
  • Figure 19. Kapsch TrafficCom AG (Austria) Revenue, Net Income and Gross profit
  • Figure 20. Kapsch TrafficCom AG (Austria) Revenue: by Geography 2020
  • Figure 21. Vigilant Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 22. Vigilant Solutions (United States) Revenue: by Geography 2020
  • Figure 23. Tattile SRL (Italy) Revenue, Net Income and Gross profit
  • Figure 24. Tattile SRL (Italy) Revenue: by Geography 2020
  • Figure 25. Leonardo Company (Italy) Revenue, Net Income and Gross profit
  • Figure 26. Leonardo Company (Italy) Revenue: by Geography 2020
  • Figure 27. Neology Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Neology Inc. (United States) Revenue: by Geography 2020
  • Figure 29. Genetec Inc. (Canada) Revenue, Net Income and Gross profit
  • Figure 30. Genetec Inc. (Canada) Revenue: by Geography 2020
  • Figure 31. Jenoptik Group (Germany) Revenue, Net Income and Gross profit
  • Figure 32. Jenoptik Group (Germany) Revenue: by Geography 2020
  • Figure 33. Conduent Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Conduent Inc. (United States) Revenue: by Geography 2020
  • Figure 35. Bosch Group (Germany) Revenue, Net Income and Gross profit
  • Figure 36. Bosch Group (Germany) Revenue: by Geography 2020
  • Figure 37. Global Automated Number Plate Recognition: by Type USD Million (2021-2026)
  • Figure 38. Global Automated Number Plate Recognition: by Application USD Million (2021-2026)
  • Figure 39. Global Automated Number Plate Recognition: by Components USD Million (2021-2026)
  • Figure 40. Global Automated Number Plate Recognition: by Deployment Type USD Million (2021-2026)
  • Figure 41. South America Automated Number Plate Recognition Share (%), by Country
  • Figure 42. Asia Pacific Automated Number Plate Recognition Share (%), by Country
  • Figure 43. Europe Automated Number Plate Recognition Share (%), by Country
  • Figure 44. MEA Automated Number Plate Recognition Share (%), by Country
  • Figure 45. North America Automated Number Plate Recognition Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Siemens AG (Germany)
  • Kapsch TrafficCom AG (Austria)
  • Vigilant Solutions (United States)
  • Tattile SRL (Italy)
  • Leonardo Company (Italy)
  • Neology Inc. (United States)
  • Genetec Inc. (Canada)
  • Jenoptik Group (Germany)
  • Conduent Inc. (United States)
  • Bosch Group (Germany)
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May 2021 220 Pages 77 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Automated Number Plate Recognition Market Quantitative research analysis
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