Automatic License Plate Recognition Global Market Report 2024

The automatic license plate recognition market size has grown rapidly in recent years. It will grow from $7.09 billion in 2023 to $8.0 billion in 2024 at a compound annual growth rate (CAGR) of 12.8%. The growth observed in the historic period can be attributed to several factors, including the integration of Automatic Number Plate Recognition (ANPR) technology with toll collection systems, the increasing demand for ANPR in parking management solutions, addressing challenges in traffic management, enhancing vehicle theft prevention measures, addressing security concerns, and meeting the needs of law enforcement agencies for efficient vehicle identification and monitoring.

The automatic license plate recognition market size is expected to see grown rapidly in the next few years. It will grow to $13.16 billion in 2028 at a compound annual growth rate (CAGR) of 13.2%. Forecasted growth is driven by increased infrastructure investments, regulatory mandates for vehicle identification, traffic congestion management, 5G network emergence, and rising demand for vehicle tracking. Major trends include expanded commercial applications, automotive industry collaboration, AI and machine learning focus, cloud-based adoption, and integration with IoT and smart city solutions.

The surging demand for effective traffic management is poised to drive significant growth within the automatic license plate recognition (ALPR) market. Traffic management encompasses the planning, control, and procurement of transportation services necessary for the movement of vehicles and freight. The escalating demand for traffic management stems from the imperative to address traffic congestion, enhance mobility, and promote safer transportation networks. ALPR systems play a pivotal role in traffic monitoring and enforcement by automatically capturing and recognizing license plate numbers. The integration of advanced traffic management solutions with ALPR technology holds substantial promise for enhancing road safety and reducing the incidence of road fatalities. For instance, the Americas Traffic Safety Crisis Report published by the National Transportation Research (TRIP) revealed a 19% increase in road fatalities in the United States from 2020 to 2022, along with a corresponding 22% rise in the fatality rate per 100 million vehicle miles traveled during the same period. Consequently, the escalating concern for traffic management is propelling the growth of the automatic license plate recognition market.

Leading companies operating within the automatic license plate recognition market are concentrating their efforts on the development of high-resolution cameras, exemplified by products such as the Autovu Sharp V ALPR cameras, to drive revenue growth. Autovu Sharp V ALPR cameras are equipped with high-resolution sensors and a high pixel count, enabling the creation of images with exceptional clarity and detail. For instance, Genetec Inc., a Canada-based software development company, introduced the next generation of Autovu Sharp V ALPR cameras in August 2021. This advanced solution features motorized lenses for straightforward deployment and incorporates 4G, LTE, and GPS technologies, providing a future-proof fixed solution. The integration of machine learning-based ALPR and vehicle analytics on the edge, along with built-in illuminators and global shutter functionality, ensures high performance in various conditions, delivering clear and accurate images day or night and across multiple lanes, thus minimizing the need for multiple devices and reducing the total cost of ownership.

In May 2022, MOBOTIX, a Germany-based information technology and services company, completed the acquisition of Vaxtor Group for an undisclosed sum. Through this acquisition, MOBOTIX aims to expand its operations by leveraging Vaxtor's expertise in artificial intelligence (AI) and deep learning technologies, particularly in optical character recognition (OCR) and automatic license plate recognition (ALPR). By integrating Vaxtor's capabilities, MOBOTIX seeks to position itself as a premium solution provider utilizing AI and video technologies. Vaxtor Group, a Spain-based software company, specializes in developing high-performance OCR, ALPR solutions, and other technologies, aligning with MOBOTIX's strategic objectives to enhance its offerings and capabilities in the field of ALPR technology.

Major companies operating in the automatic license plate recognition market are Siemens AG, Neology Inc., Motorola Solutions, Axis Communications, Verint Systems Inc., ParkingEye Limited, Vivotek, Genetec Technology, Kapsch TrafficCom, Bosch Security Systems, Euro Car Parks Limited (UK), GeoVision Inc., Senstar Technologies, TagMaster AB, Tattile S.r.l., NDI Recognition Systems, Quercus Technologies, Petards Group Plc, Shenzhen AnShiBao, Digital Recognition Systems Ltd., PlateSmart Technologies, Sighthound, Rekor Rank One Computing, NEXCOM, Flock Safety.

North America was the largest region in the automatic license plate recognition market in 2023. The regions covered in the automatic license plate recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the automatic license plate recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Automatic license plate recognition (ALPR), also known as automatic number plate recognition (ANPR) is a technology utilizing Optical Character Recognition (OCR) to automatically detect, read, and interpret license plates on vehicles. By converting text within images into machine-readable formats, ANPR captures license plate images, extracts alphanumeric characters, and transforms them into usable text data. This technology finds application across various sectors including law enforcement, parking management, toll collection, and traffic monitoring.

Key products within the realm of utomatic licenses plate recognition include mobile, fixed, and portable systems. Mobile ANPR systems are designed for flexibility and ease of use, catering to applications such as traffic management, law enforcement, electronic toll collection, parking management, and more, serving both government and commercial end-users.

The automatic licenses plate recognition market research report is one of a series of new reports that provides automatic licenses plate recognition market statistics, including automatic licenses plate recognition industry global market size, regional shares, competitors with automatic licenses plate recognition market share, detailed automatic licenses plate recognition market segments, market trends, and opportunities, and any further data you may need to thrive in the automatic licenses plate recognition industry. These automatic licenses plate recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The automatic license plate recognition market consists of revenues earned by entities providing services such as vehicle identification and tracking, traffic monitoring and management, Parking Management and electronic toll collection system. The market value includes the value of related goods sold by the service provider or included within the service offering. The automatic license plate recognition market also includes of sales of high-resolution digital cameras, illumination systems, hard disk drives, and ethernet switches, routers, and network cables. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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