Global Automatic License Plate Recognition research

Automatic License Plate Recognition Comprehensive Study by Type (Fixed ALPR System, Mobile ALPR System, Portable ALPR System), Application (Traffic Management, Parking), Component (Cameras, Software, Frame Grabbers, Triggers) Players and Region - Global Market Outlook to 2028

Automatic License Plate Recognition Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Automatic License Plate Recognition Market Overview:
Automatic licence plate recognition is an image processing technique that uses the vehicle's licence plate to identify it. The goal is to create a system that uses the car number plate to create an efficient automatic approved vehicle identification system. The system is installed at the entry to a highly restricted region, such as military zones or areas surrounding major government facilities, such as Parliament and the Supreme Court. The devised system initially detects the car before taking a picture of it. The car number plate region is retrieved from a picture using image segmentation.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Worldwide development of smart cities

Market Growth Drivers:
Deployment of ALPR systems in security and surveillance, and traffic enforcement applications and Infrastructure growth in emerging countries

Challenges:
Privacy concerns regarding stored images and records being misused

Restraints:
Incorrect camera, lens, or location of cameras

Opportunities:
Increase in use of cloud-based storage services and Integration of new technologies such as AI and IoT in ANPR systems

Competitive Landscape:
The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.
Some of the key players profiled in the report are Siemens (Germany), Bosch (Germany), 3M (United States), Vysionics (United Kingdom), CA Traffic (United Kingdom), Digital Recognition Systems (United Kingdom), FLIR Systems (United States), Image Sensing Systems (United States), NDI Recognition Systems (United Kingdom), LILIN (Taiwan), TitanHz (Canada), FIDA Systems Ltd. (United Kingdom) and Selex ES (Italy). Analyst at AMA Research see Global Vendors to retain maximum share of Global Automatic License Plate Recognition market by 2028. Considering Market by Component, the sub-segment i.e. Cameras will boost the Automatic License Plate Recognition market.

Latest Market Insights:


On Oct. 24, 2019, Utility, Inc., will make its innovative Smart Automatic License Plate Reader (ALPR) technology, which was developed in collaboration with Sony Imaging Products & Solutions, Inc., available to law enforcement agencies across the country during the 126th IACP Annual Conference and Exposition

What Can be Explored with the Automatic License Plate Recognition Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Automatic License Plate Recognition Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Automatic License Plate Recognition
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Automatic License Plate Recognition market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Automatic License Plate Recognition market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Automatic License Plate Recognition Manufactures, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Fixed ALPR System
  • Mobile ALPR System
  • Portable ALPR System
By Application
  • Traffic Management
  • Parking
By Component
  • Cameras
  • Software
  • Frame Grabbers
  • Triggers

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 ALPR systems in security and surveillance, and traffic enforcement applications
      • 3.2.2. Infrastructure growth in emerging countries
    • 3.3. Market Challenges
      • 3.3.1. Privacy concerns regarding stored images and records being misused
    • 3.4. Market Trends
      • 3.4.1. Worldwide development of smart cities
  • 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 Automatic License Plate Recognition, by Type, Application, Component and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Automatic License Plate Recognition (Value)
      • 5.2.1. Global Automatic License Plate Recognition by: Type (Value)
        • 5.2.1.1. Fixed ALPR System
        • 5.2.1.2. Mobile ALPR System
        • 5.2.1.3. Portable ALPR System
      • 5.2.2. Global Automatic License Plate Recognition by: Application (Value)
        • 5.2.2.1. Traffic Management
        • 5.2.2.2. Parking
      • 5.2.3. Global Automatic License Plate Recognition by: Component (Value)
        • 5.2.3.1. Cameras
        • 5.2.3.2. Software
        • 5.2.3.3. Frame Grabbers
        • 5.2.3.4. Triggers
      • 5.2.4. Global Automatic License Plate Recognition Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Automatic License 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Siemens (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. Bosch (Germany)
        • 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. 3M (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. Vysionics (United Kingdom)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. CA Traffic (United Kingdom)
        • 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. Digital Recognition Systems (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. FLIR Systems (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Image Sensing Systems (United States)
        • 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. NDI Recognition Systems (United Kingdom)
        • 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. LILIN (Taiwan)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. TitanHz (Canada)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. FIDA Systems Ltd. (United Kingdom)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Selex ES (Italy)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Automatic License Plate Recognition Sale, by Type, Application, Component and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Automatic License Plate Recognition (Value)
      • 7.2.1. Global Automatic License Plate Recognition by: Type (Value)
        • 7.2.1.1. Fixed ALPR System
        • 7.2.1.2. Mobile ALPR System
        • 7.2.1.3. Portable ALPR System
      • 7.2.2. Global Automatic License Plate Recognition by: Application (Value)
        • 7.2.2.1. Traffic Management
        • 7.2.2.2. Parking
      • 7.2.3. Global Automatic License Plate Recognition by: Component (Value)
        • 7.2.3.1. Cameras
        • 7.2.3.2. Software
        • 7.2.3.3. Frame Grabbers
        • 7.2.3.4. Triggers
      • 7.2.4. Global Automatic License Plate Recognition Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 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. Automatic License Plate Recognition: by Type(USD Million)
  • Table 2. Automatic License Plate Recognition Fixed ALPR System , by Region USD Million (2017-2022)
  • Table 3. Automatic License Plate Recognition Mobile ALPR System , by Region USD Million (2017-2022)
  • Table 4. Automatic License Plate Recognition Portable ALPR System , by Region USD Million (2017-2022)
  • Table 5. Automatic License Plate Recognition: by Application(USD Million)
  • Table 6. Automatic License Plate Recognition Traffic Management , by Region USD Million (2017-2022)
  • Table 7. Automatic License Plate Recognition Parking , by Region USD Million (2017-2022)
  • Table 8. Automatic License Plate Recognition: by Component(USD Million)
  • Table 9. Automatic License Plate Recognition Cameras , by Region USD Million (2017-2022)
  • Table 10. Automatic License Plate Recognition Software , by Region USD Million (2017-2022)
  • Table 11. Automatic License Plate Recognition Frame Grabbers , by Region USD Million (2017-2022)
  • Table 12. Automatic License Plate Recognition Triggers , by Region USD Million (2017-2022)
  • Table 13. South America Automatic License Plate Recognition, by Country USD Million (2017-2022)
  • Table 14. South America Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 15. South America Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 16. South America Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 17. Brazil Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 18. Brazil Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 19. Brazil Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 20. Argentina Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 21. Argentina Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 22. Argentina Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 23. Rest of South America Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 24. Rest of South America Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 25. Rest of South America Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 26. Asia Pacific Automatic License Plate Recognition, by Country USD Million (2017-2022)
  • Table 27. Asia Pacific Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 28. Asia Pacific Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 29. Asia Pacific Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 30. China Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 31. China Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 32. China Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 33. Japan Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 34. Japan Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 35. Japan Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 36. India Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 37. India Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 38. India Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 39. South Korea Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 40. South Korea Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 41. South Korea Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 42. Taiwan Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 43. Taiwan Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 44. Taiwan Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 45. Australia Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 46. Australia Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 47. Australia Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 48. Rest of Asia-Pacific Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 49. Rest of Asia-Pacific Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 50. Rest of Asia-Pacific Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 51. Europe Automatic License Plate Recognition, by Country USD Million (2017-2022)
  • Table 52. Europe Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 53. Europe Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 54. Europe Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 55. Germany Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 56. Germany Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 57. Germany Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 58. France Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 59. France Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 60. France Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 61. Italy Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 62. Italy Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 63. Italy Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 64. United Kingdom Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 65. United Kingdom Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 66. United Kingdom Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 67. Netherlands Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 68. Netherlands Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 69. Netherlands Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 70. Rest of Europe Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 71. Rest of Europe Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 72. Rest of Europe Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 73. MEA Automatic License Plate Recognition, by Country USD Million (2017-2022)
  • Table 74. MEA Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 75. MEA Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 76. MEA Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 77. Middle East Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 78. Middle East Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 79. Middle East Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 80. Africa Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 81. Africa Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 82. Africa Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 83. North America Automatic License Plate Recognition, by Country USD Million (2017-2022)
  • Table 84. North America Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 85. North America Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 86. North America Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 87. United States Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 88. United States Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 89. United States Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 90. Canada Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 91. Canada Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 92. Canada Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 93. Mexico Automatic License Plate Recognition, by Type USD Million (2017-2022)
  • Table 94. Mexico Automatic License Plate Recognition, by Application USD Million (2017-2022)
  • Table 95. Mexico Automatic License Plate Recognition, by Component USD Million (2017-2022)
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Automatic License Plate Recognition: by Type(USD Million)
  • Table 110. Automatic License Plate Recognition Fixed ALPR System , by Region USD Million (2023-2028)
  • Table 111. Automatic License Plate Recognition Mobile ALPR System , by Region USD Million (2023-2028)
  • Table 112. Automatic License Plate Recognition Portable ALPR System , by Region USD Million (2023-2028)
  • Table 113. Automatic License Plate Recognition: by Application(USD Million)
  • Table 114. Automatic License Plate Recognition Traffic Management , by Region USD Million (2023-2028)
  • Table 115. Automatic License Plate Recognition Parking , by Region USD Million (2023-2028)
  • Table 116. Automatic License Plate Recognition: by Component(USD Million)
  • Table 117. Automatic License Plate Recognition Cameras , by Region USD Million (2023-2028)
  • Table 118. Automatic License Plate Recognition Software , by Region USD Million (2023-2028)
  • Table 119. Automatic License Plate Recognition Frame Grabbers , by Region USD Million (2023-2028)
  • Table 120. Automatic License Plate Recognition Triggers , by Region USD Million (2023-2028)
  • Table 121. South America Automatic License Plate Recognition, by Country USD Million (2023-2028)
  • Table 122. South America Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 123. South America Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 124. South America Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 125. Brazil Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 126. Brazil Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 127. Brazil Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 128. Argentina Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 129. Argentina Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 130. Argentina Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 131. Rest of South America Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 132. Rest of South America Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 133. Rest of South America Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 134. Asia Pacific Automatic License Plate Recognition, by Country USD Million (2023-2028)
  • Table 135. Asia Pacific Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 136. Asia Pacific Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 137. Asia Pacific Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 138. China Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 139. China Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 140. China Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 141. Japan Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 142. Japan Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 143. Japan Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 144. India Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 145. India Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 146. India Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 147. South Korea Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 148. South Korea Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 149. South Korea Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 150. Taiwan Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 151. Taiwan Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 152. Taiwan Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 153. Australia Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 154. Australia Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 155. Australia Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 156. Rest of Asia-Pacific Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 157. Rest of Asia-Pacific Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 158. Rest of Asia-Pacific Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 159. Europe Automatic License Plate Recognition, by Country USD Million (2023-2028)
  • Table 160. Europe Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 161. Europe Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 162. Europe Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 163. Germany Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 164. Germany Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 165. Germany Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 166. France Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 167. France Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 168. France Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 169. Italy Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 170. Italy Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 171. Italy Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 172. United Kingdom Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 173. United Kingdom Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 174. United Kingdom Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 175. Netherlands Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 176. Netherlands Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 177. Netherlands Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 178. Rest of Europe Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 179. Rest of Europe Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 180. Rest of Europe Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 181. MEA Automatic License Plate Recognition, by Country USD Million (2023-2028)
  • Table 182. MEA Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 183. MEA Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 184. MEA Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 185. Middle East Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 186. Middle East Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 187. Middle East Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 188. Africa Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 189. Africa Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 190. Africa Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 191. North America Automatic License Plate Recognition, by Country USD Million (2023-2028)
  • Table 192. North America Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 193. North America Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 194. North America Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 195. United States Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 196. United States Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 197. United States Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 198. Canada Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 199. Canada Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 200. Canada Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 201. Mexico Automatic License Plate Recognition, by Type USD Million (2023-2028)
  • Table 202. Mexico Automatic License Plate Recognition, by Application USD Million (2023-2028)
  • Table 203. Mexico Automatic License Plate Recognition, by Component USD Million (2023-2028)
  • Table 204. Research Programs/Design for This Report
  • Table 205. Key Data Information from Secondary Sources
  • Table 206. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Automatic License Plate Recognition: by Type USD Million (2017-2022)
  • Figure 5. Global Automatic License Plate Recognition: by Application USD Million (2017-2022)
  • Figure 6. Global Automatic License Plate Recognition: by Component USD Million (2017-2022)
  • Figure 7. South America Automatic License Plate Recognition Share (%), by Country
  • Figure 8. Asia Pacific Automatic License Plate Recognition Share (%), by Country
  • Figure 9. Europe Automatic License Plate Recognition Share (%), by Country
  • Figure 10. MEA Automatic License Plate Recognition Share (%), by Country
  • Figure 11. North America Automatic License Plate Recognition Share (%), by Country
  • Figure 12. Global Automatic License Plate Recognition share by Players 2022 (%)
  • Figure 13. Global Automatic License Plate Recognition share by Players (Top 3) 2022(%)
  • Figure 14. Global Automatic License Plate Recognition share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Siemens (Germany) Revenue, Net Income and Gross profit
  • Figure 17. Siemens (Germany) Revenue: by Geography 2022
  • Figure 18. Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 19. Bosch (Germany) Revenue: by Geography 2022
  • Figure 20. 3M (United States) Revenue, Net Income and Gross profit
  • Figure 21. 3M (United States) Revenue: by Geography 2022
  • Figure 22. Vysionics (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 23. Vysionics (United Kingdom) Revenue: by Geography 2022
  • Figure 24. CA Traffic (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 25. CA Traffic (United Kingdom) Revenue: by Geography 2022
  • Figure 26. Digital Recognition Systems (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 27. Digital Recognition Systems (United Kingdom) Revenue: by Geography 2022
  • Figure 28. FLIR Systems (United States) Revenue, Net Income and Gross profit
  • Figure 29. FLIR Systems (United States) Revenue: by Geography 2022
  • Figure 30. Image Sensing Systems (United States) Revenue, Net Income and Gross profit
  • Figure 31. Image Sensing Systems (United States) Revenue: by Geography 2022
  • Figure 32. NDI Recognition Systems (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. NDI Recognition Systems (United Kingdom) Revenue: by Geography 2022
  • Figure 34. LILIN (Taiwan) Revenue, Net Income and Gross profit
  • Figure 35. LILIN (Taiwan) Revenue: by Geography 2022
  • Figure 36. TitanHz (Canada) Revenue, Net Income and Gross profit
  • Figure 37. TitanHz (Canada) Revenue: by Geography 2022
  • Figure 38. FIDA Systems Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 39. FIDA Systems Ltd. (United Kingdom) Revenue: by Geography 2022
  • Figure 40. Selex ES (Italy) Revenue, Net Income and Gross profit
  • Figure 41. Selex ES (Italy) Revenue: by Geography 2022
  • Figure 42. Global Automatic License Plate Recognition: by Type USD Million (2023-2028)
  • Figure 43. Global Automatic License Plate Recognition: by Application USD Million (2023-2028)
  • Figure 44. Global Automatic License Plate Recognition: by Component USD Million (2023-2028)
  • Figure 45. South America Automatic License Plate Recognition Share (%), by Country
  • Figure 46. Asia Pacific Automatic License Plate Recognition Share (%), by Country
  • Figure 47. Europe Automatic License Plate Recognition Share (%), by Country
  • Figure 48. MEA Automatic License Plate Recognition Share (%), by Country
  • Figure 49. North America Automatic License Plate Recognition Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Siemens (Germany)
  • Bosch (Germany)
  • 3M (United States)
  • Vysionics (United Kingdom)
  • CA Traffic (United Kingdom)
  • Digital Recognition Systems (United Kingdom)
  • FLIR Systems (United States)
  • Image Sensing Systems (United States)
  • NDI Recognition Systems (United Kingdom)
  • LILIN (Taiwan)
  • TitanHz (Canada)
  • FIDA Systems Ltd. (United Kingdom)
  • Selex ES (Italy)
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Key Highlights of Report


May 2023 212 Pages 58 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Automatic License Plate Recognition research Quantitative research analysis
Global Automatic License Plate Recognition research Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Automatic License Plate Recognition market are Siemens (Germany), Bosch (Germany), 3M (United States), Vysionics (United Kingdom), CA Traffic (United Kingdom), Digital Recognition Systems (United Kingdom), FLIR Systems (United States), Image Sensing Systems (United States), NDI Recognition Systems (United Kingdom), LILIN (Taiwan), TitanHz (Canada), FIDA Systems Ltd. (United Kingdom) and Selex ES (Italy), to name a few.
"Worldwide development of smart cities" is seen as one of major influencing trends for Automatic License Plate Recognition Market during projected period 2022-2028.
Fixed ALPR System segment in Global market to hold robust market share owing to "Deployment of ALPR systems in security and surveillance, and traffic enforcement applications ".

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