Automatic Number Plate Recognition (ANPR) System Market by Component (Hardware, Software), by Type (Mobile, Fixed), by Application (Law Enforcement, Traffic Management, Toll Collection, Others), by By Geography (North America), by Europe (U.K., Germany, France, Rest of Europe), by Asia Pacific (China, Japan, India, South Korea, Rest of Asia Pacific) Forecast 2024-2032
The Automatic Number Plate Recognition (ANPR) System Market size was valued at USD 2.51 USD Billion in 2023 and is projected to reach USD 6.05 USD Billion by 2032, exhibiting a CAGR of 13.4 % during the forecast period. Automatic Number Plate Recognition (ANPR) is a technology that uses optical image recognition to read vehicle license plates. ANPR can be used to record images taken by cameras and number plate text, and some can be set to record a photo of the driver. The benefits of ANPR include - the detection of potential threats, cost-effective, enhanced security, ticket and barrier system, vehicle location and crime prevention, vehicle tax evasion detection, and access control to commercial premises. These systems use a combination of optical character recognition (OCR), image processing, and pattern recognition algorithms to extract alphanumeric information from the license plate. ANPR systems are widely used in various applications such as law enforcement, toll collection, parking management, and traffic control. Cameras in ANPR systems take pictures of the vehicle's number plate, and the extracted data can be used, for example, to track the vehicle, identify it, and follow traffic rules
Component
Type
Application
The report provides a detailed analysis of the ANPR system market, including market size, segmentation, growth drivers, and competitive landscape. It also includes industry developments, company profiles, and case studies.
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 13.4% from 2018-2032 |
Segmentation |
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Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 13.4% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
Primary Research
Secondary Research
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