Automatic Number Plate Recognition Market Scope
Automatic Number Plate Recognition Market size to exceed USD 5.6 Billion with a healthy CAGR of 9.5% from 2020 to 2030 (forecast period). The large number of vehicles traveling through traffic and the lack of staff for manning the huge populace can drive the market demand exponentially. The urbanization of cities and migration of citizens are prime factors necessitating its use in manning traffic. Emphasis on safety of citizens and lane management by detecting speeding vehicles can fuel the market growth. The use of deep learning to increase the potential of ANPR systems by using location algorithms, plate recognition, and intelligent equipment can favor the market growth.
The COVID-19 pandemic has effectively disrupted normal functions and led to rollout of policies for curbing movement of citizens and restricting the spread across borders of cities. ALPR technology has been effective in assisting authorities to control border flow of persons. For instance, Jenoptik Vector cameras were installed at relevant checkpoints in Australia for cross-referencing the plates of known COVID-19 patients and prevent their entry at the gates.
But variations in license plate fonts and plate formats in culturally diverse countries can pose a challenge to the market.
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Automatic Number Plate Recognition Market Regional Analysis
In 2017, Europe accounted for 37.7% market share and stood at a valuation of USD 229.2 million. The global automatic plate recognition market in Europe is expected to grow at a CAGR of 10.5% during the forecast period. Adoption of ANPR has been significantly high in the region as these systems are deployed in tolling systems, parking and access control systems, and traffic control systems.
Global Automatic Number Plate Recognition Market
Automatic number plate recognition (ANPR) or automatic license plate recognition (ALPR) systems are software with the capability of recognizing cars by their license plate numbers. The license plate numbers are matched using optical character recognition on images in a centralized database to match with license plate number images. This is used to catch culprits and deter crime rates in prominent cities. The global automatic number plate recognition market report compiled by Market Research Future (MRFR) takes a look at various trends in vehicle detection and rollout of new laws for traffic management for the period of 2018 to 2023 (forecast period). The COVID-19 pandemic and the laws to curb violators of the lockdown during this period using ALPR systems are analyzed in the report.
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Automatic Number Plate Recognition Market Segmentation
By type, it is segmented into mobile ANPR systems, fixed ANPR systems, and portable ANPR systems. Fixed ANPR system segment accounted for 42.5% market share in 2017, with a valuation of USD 258.7 million. It is expected to witness a 9.1% CAGR during the assessment period. In fixed or stationary ANPR systems, cameras are mounted on fixed locations such as highway overpasses, signboards, street lights, or buildings. These systems are a cost-effective solution for monitoring parked or moving vehicles.
By component, it is segmented into ANPR cameras, ANPR software, triggers, frame grabbers, and others. In 2017, the ANPR cameras segment accounted for the largest market share and stood at a valuation of USD 185.5 million. It is projected to experience a CAGR of 10% during the forecast period owing to their ability to capture images of fast-moving vehicles. Advances in camera technology have increased the credibility of ANPR cameras. Sharpness, image resolution, and range are some of the important aspects consider before selecting an ANPR camera unit. The image sensors within the camera can scan license plates rapidly while providing silent support to law enforcement and security agencies.
By end-user, it is segmented into defense, commercial, government, and homeland security. The government segment accounted for 71.7% market share in 2017 and was valued at USD 436.2 million. It is touted to exhibit a 10.6% CAGR during the assessment period. This is primarily owing to the increased usage of ANPR system for law enforcement by government bodies.
Major applications of ANPRs are electronic toll collection, traffic management, law enforcement, access control, and parking management. The law enforcement segment accounted for 31.1% market share in 2017, with a valuation of USD 189.1 million. During the forecast period, the segment is expected to post a strong growth rate owing to law enforcement agencies using the software for managing traffic and cars in cities and dense venues. On the other hand, the parking management segment is likely to generate revenues for the global ANPR market owing to vehicles with registered plates being granted entry to parking areas. This can be used in encouraging pre-pay and post-pay platforms using ANPR on the cloud.
Automatic Number Plate Recognition Market Competitive Outlook
Leonardo Company, Tattile SRL, Siemens AG, Neology, Inc., Financial Overview, Vigilant Solutions, Jenoptik Group, Kapsch TrafficCom AG, Bosch Group, Conduent Inc., and Genetec Inc. are prime players of the global automatic number plate recognition market.
