Global Automatic Number Plate Recognition Market: Overview
Automatic number plate recognition (ANPR) is a surveillance system with primary capability of capturing the image of vehicles and identifying their license number. ANPR systems consist of high-speed cameras with IR filters, processors capable of performing optical character recognition (OCR), application software, user interface and an alert capability to notify operators in case of a match. ANPR systems can be a standalone device or can be used with existing traffic enforcement cameras or closed-circuit televisions and are used by the police forces across the globe to prevent and detect crimes. These systems are also used for electronic toll collection on roads and for monitoring traffic activities such as red light adherence and speed enforcement. Additionally, ANPR systems can assist in the detection of stolen vehicles. The ANPR technology varies from location to location depending on the designs of number plates.
Global Automatic Number Plate Recognition Market: Trends and Opportunities
ANPR systems are increasingly being adopted in traffic enforcement, detection, and prevention of crimes and access control in the public sector. Initiatives undertaken by governments to incorporate new technologies in order to ensure safety in the public sector is one of the key factors driving growth in the global automatic number plate recognition market. However, challenges related to non-uniformity in the license plate design across different states, countries, or regions are hindering the adoption of this technology. Applications of ANPR systems in the commercial sector have increased in the recent years and shown significant traction in the vehicle-parking segment.
Global Automatic Number Plate Recognition Market: Key Segments
This market has been segmented based on applications, end-users and geography. Based on the end-users adoption, the market has been classified into government and commercial sectors. The government sector is further classified into homeland security, traffic department and defense, whereas the commercial end-users are classified into entertainment and recreation, and dedicated car parks. The market size and forecasts in terms of revenue (US$ Mn) for each of these segments have been provided for the period 2015 to 2025, considering 2015 and 2016 as the base years. The report also provides the compounded annual growth rate (CAGR) for each segment of the market for the forecast period 2017 to 2025. Geographically, the market for ANPR has been segmented into four regions, namely, North America, Europe, Asia-Pacific, Middle East & Africa (MEA) and Latin America.
The report includes value chain analysis to recognize players in the market along with their role in the ecosystem. We have included future trends as well as opportunity analysis that will impact the demand. In addition, the report also includes porter’s five forces analysis for ANPR system. The study provides market estimation in terms of revenue and forecast for the period 2017 to 2025.
Companies Mentioned in Report
Some of the key players in the global ANPR market include ARH, Inc., Bosch Security Systems, Inc., Digital Recognition Systems, Ltd., ELSAG North America LLC, Genetec, Inc., NDI Recognition Systems LLC, Q-Free ASA, Siemens AG, Vaxtor Technologies, Vigilant Solutions, and Viion Systems Inc. All these companies are profiled in a separate companies profile section of the report. This section includes details such as overview, financials, SWOT analysis, recent developments, strategy adopted by these players. Also, the report comprises market share analysis (2016) of the above companies.
The report analyzes the global automatic number plate recognition (ANPR) market in terms of revenue (US$ Mn). The market has been segmented as follows:
Automatic Number Plate Recognition (ANPR) Market, by Application:
Automatic Number Plate Recognition (ANPR) Market, by End-users:
Automatic Number Plate Recognition (ANPR) Market, by Component:
Automatic Number Plate Recognition (ANPR) Market, by Geography:
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