Automatic number-plate recognition (ANPR; see also other names below) is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. ANPR is used by police forces around the world for law enforcement purposes, including to check if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloguing the movements of traffic, for example by highways agencies.
Of the major players of the Automatic License Plate Recognition (ALPR) market, Neology maintained its first place in the ranking in 2017. Neology accounted for 6.95% of the Global Automatic License Plate Recognition (ALPR) market share in 2017. Other players accounted for 6.26%, 5.70% including Siemens and Elsag.
The Automatic License Plate Recognition (ALPR) market was valued at 640 Million US$ in 2018 and is projected to reach 1570 Million US$ by 2025, at a CAGR of 11.9% during the forecast period. In this study, 2018 has been considered as the base year and 2019 to 2025 as the forecast period to estimate the market size for Automatic License Plate Recognition (ALPR).
This report presents the worldwide Automatic License Plate Recognition (ALPR) market size (value, production and consumption), splits the breakdown (data status 2014-2019 and forecast to 2025), by manufacturers, region, type and application.
This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.
The following manufacturers are covered in this report:
Bosch Security Systems
NDI Recognition Systems
Arvoo Imaging Products
Digital Recognition Systems
Automatic License Plate Recognition (ALPR) Breakdown Data by Type
Automatic License Plate Recognition (ALPR) Breakdown Data by Application
Traffic Management& Law Enforcement
Electronic Toll Collection
Car Park Management
Automatic License Plate Recognition (ALPR) Production by Region
Automatic License Plate Recognition (ALPR) Consumption by Region
Rest of Europe
Central & South America
Rest of South America
Middle East & Africa
Rest of Middle East & Africa
The study objectives are:
To analyze and research the global Automatic License Plate Recognition (ALPR) status and future forecast，involving, production, revenue, consumption, historical and forecast.
To present the key Automatic License Plate Recognition (ALPR) manufacturers, production, revenue, market share, and recent development.
To split the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
In this study, the years considered to estimate the market size of Automatic License Plate Recognition (ALPR) :
History Year: 2014 - 2018
Base Year: 2018
Estimated Year: 2019
Forecast Year: 2019 - 2025
This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Automatic License Plate Recognition (ALPR) market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.