Europe Automatic Number Plate Recognition (ANPR) System Market By Types (Fixed, Mobile & Portable), Components (Cameras, Softwares, Frame Grabber, Triggers), Applications (Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, Access Control)

Analysis of Market Size & Trends

The Europe Automatic Number Plate Recognition (ANPR) System Market would witness market growth of 8.7% CAGR during the forecast period (2017 - 2023). Automatic Number Plate Recognition (ANPR) is a powerful technology used to accurately read vehicle number plates without human intervention. Capturing High-speed images with supporting illumination, detecting characters from the images, verification of the character sequences from the license plates, character recognition to convert the image to text, are used to identify the license plate and the associated text of that plate.

Rising incidents of vehicle thefts and rapid growth in criminal activities have driven the need for real-time identification and tracking systems in the transportation sector, driving the software market. Based on Types, the market report segments the market into Fixed and Mobile & Portable. Based on Components, the Europe Automatic Number Plate Recognition (ANPR) System market report segments the market into ANPR Cameras, ANPR Software, Frame Grabber, Triggers and Others.

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Based on Applications, the market report segments the market into Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, and Access Control. Based on Countries, the Automatic Number Plate Recognition (ANPR) System market report segments the market into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the Europe Automatic Number Plate Recognition (ANPR) System Market. Key companies profiled in the report include Kapsch (Kapsch Trafficcom AG), Q-Free ASA, Siemens AG, Genetec Inc., ARH Inc., Robert Bosch (Bosch Security Systems, Inc.), Smartrac (Neology, Inc.), Digital Recognition Systems Ltd., Vigilant Solutions, Inc., and Tattile SRL.

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