Automatic Number Plate Recognition Market Size - Global Industry Share, Analysis, Trends and Forecast 2022 - 2030
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The Global Automatic Number Plate Recognition (ANPR) Market Size was valued at USD 2,598 Million in 2021 and is predicted to be worth USD 5,825 Million by 2030, with a CAGR of 9.6% from 2022 to 2030.
The automatic number plate recognition (ANPR), also known as automatic license plate recognition (ALPR), is the technology used to detect, deter, and disrupt criminal activities such as tracking travelling criminals, and organized crime groups and terrorists at local and national level. ANPR technology offers a sequence of enquiry and evidence in investigation of crime and is used by law enforcement agencies across the world. In the recent years, IP-based communication networks and digitization has revolutionized the ANPR technology and encouraged its deployment by widening its application area. Automatic license plate recognition technology can be used to support following activities:
- Enforcement of legislations relating to motor vehicles and their use
- National security and counter terrorism
- Improving road safety
- Severe, organized and major crime
- Lowering the level of crime
- Crime prevention and reduction
As the vehicle passes an ANPR camera, the vehicle registration number is read by the camera and checked against the database records. In case of criminal activities, vehicles can be easily tracked and intercepted by enforcement personals. The data from ANPR cameras is securely transmitted to the back office platform, where it is managed and audited to support real-time detection and offer post-incident information. The use of ANPR has proven important in detection of numerous offences including tackling uninsured vehicles, locating stolen vehicles, and unwinding cases of organized crimes and terrorism among others.
Global Automatic Number Plate Recognition (ANPR) Market DRO’s
Market Drivers
- Rising infrastructure investment in emerging economies
- An increase in the use of ANPR equipment for monitoring, tracking, and traffic enforcement purposes
- Increasing funding for ITS by different authorities
- Smart city development throughout the world
- Rising integration of video analytics technologies for smart transport monitoring
Market Restraints
- A discrepancy in license plate designs
- Privacy concerns due to deployment Of ANPR cameras
Market Opportunities
- Rising adoption of Smart parking technology
- Growing application cloud-based storage services
Automatic Number Plate Recognition Market Report Coverage
| Market | Automatic Number Plate Recognition Market |
| Automatic Number Plate Recognition Market Size 2021 | USD 2,598 Million |
| Automatic Number Plate Recognition Market Forecast 2030 | USD 5,825 Million |
| Automatic Number Plate Recognition Market CAGR | 9.6% During 2022 - 2030 |
| Analysis Period | 2018 - 2030 |
| Base Year | 2021 |
| Forecast Data | 2022 - 2030 |
| Segments Covered | By Application, By End-User And By Region |
| Regional Scope | North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
| Key Companies Profiled | Bosch Security Systems, Inc., Q-Free ASA, ELSAG North America LLC, ARH, Inc., Genetec, Inc., NDI Recognition Systems LLC, PIPS Technology Ltd., Siemens AG, Tattile S.r.l., Vigilant Solutions, and Digital Recognition Systems, Ltd. |
| Report Coverage |
Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis |
Increase in the number of road accidents due to breach in traffic laws has encouraged law enforcement agencies to set up strict regulations and deploy safety measures such as red light control and speed control. To cater to the need of an hour, traffic enforcement departments across different countries are increasingly incorporating new technologies to improve road safety. A large number of traffic departments, primarily in Europe and North America, have installed ANPR systems as it is an important tool in traffic management, and ensures mobility and traffic safety. Improvement in traffic system can enable free-flowing traffic, resulting in faster mobility and low financial loss. Installation and maintenance of ANPR systems do not require stopping the traffic or installation of hardware inside or on the vehicle. Thus, it is a cost effective solution for traffic enforcement. Information obtained through ANPR cameras can be used in various applications such as journey time management, red light control, speed control, congestion charging and tolling. ANPR systems can also be used for identification of vehicles used by criminals, gathering intelligence, and crime investigation. Portable or fixed ANPR cameras are used to capture images of vehicles along with their license plates and to further link them to time and location of the crime.
ANPR technology is used at commercial spaces such as recreation parks to gather visitor information. For example, in Germany, the Phantasialand Theme Park uses ANPR cameras to get insights on types of visitors, patterns of return and their geographic distribution. The automatic number plate recognition technology has been used significantly by governments for traffic enforcement and security and surveillance applications. However, commercial end usage is increasing owing to the escalating demand for ANPR from vehicle parking applications such as parking security and parking fee collection. The market growth is strong in regions such as Europe and North America where ANPR has been installed in nearly every country for different application. In regions such as Asia-Pacific, Middle East, Latin America and Africa, developing economies hold the key potential for the growth of ANPR as both the government and commercial installations have increased in the recent years. A major trend in ANPR manufacturing is related to the development of ALPR board that converts vision cameras into license plate recognition devices. The future research on automatic number plate recognition is mainly focused on multistyle plate recognition, faster multiplate processing and ambiguous character recognition. However, the major focus currently is on introduction of new ANPR cameras and integration of ANPR technology with other technologies.
Automatic Number Plate Recognition (ANPR) Market Segmentation
The global automatic number plate recognition market segmentation based on the application, end-user and geographical region.
Market by Application
- Security and Surveillance
- Vehicle Parking
- Traffic Management
- Red Light Control
- Toll Enforcement
In terms of the application, the traffic management segment is expected to dominate the global market in 2021 and is expected to develop substantially during the projected period. Through information interchange, automatic number plate recognition technology enhances the flow of traffic. Various automakers are concentrating on integrating the ANPR infrastructure with car communications technologies such as GPS, satellite-based global navigation Systems, as well as vehicle-to-vehicle networking. Furthermore, such systems provide data for travel speed, traffic counts, as well as origin-destination, which is boosting the segment's development.
Market by End-User
- Government
- Homeland Security
- Traffic Department
- Defense
- Commercial
- Entertainment and Recreation Facilities
- Dedicated Car Parks
According to the automatic number plate recognition industry analysis, the government segment is predicted to increase significantly in the market over the next few years. The surge in car robberies such as careless endangerment, hit-and-run, thefts, and heinous attacks has prompted governments and public health and safety organizations to implement cutting-edge technologies to combat these crimes. At several levels, automatic number plate recognition is employed to prevent and interrupt illegal activity. This covers primarily tracking criminal organizations, terrorist activity, and illegal travel.
Automatic Number Plate Recognition Market Regional Outlook
North America
- U.S.
- Canada
Europe
- U.K.
- Germany
- France
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Rest of Latin America
Middle East & Africa
- GCC
- South Africa
- Rest of Middle East & Africa
In 2021, Europe Dominated the Regional Market with a Greatest Market Share
Europe was the largest market for automatic number plate recognition system deployment in 2021 and accounted for over 38% share of the total market. Stringent government regulations related to traffic enforcement has led to the increased adoption of ANPR technology in the region. Moreover, countries such as Germany, Italy, UK and France have developed license plate recognition systems and applied them to enforce the traffic rules. Furthermore, presence of a large number of players in the region such as ARH Inc., NDI Recognition Systems Inc. and Q-Free ASA has increased the consumer awareness as these players focus on increasing their customer base in the domestic markets.
Asia-Pacific is one of the fastest growing markets for ANPR systems. ANPR technology is being adopted and implemented in countries such as Japan, India, China, Korea, Indonesia, Vietnam and Australia. In Japan, the ANPR technology is being used since the past ten years and the major applications of ANPR here include calculation of the overall journey time. In India, the market is expected to grow in the next five years as the state traffic departments and highway authorities have initiated the deployment process, with this system being already deployed in cities such as Delhi, Ludhiana, Hyderabad and Jaipur. In other countries such as China, Vietnam, Indonesia, Korea and Australia, the ANPR systems are being used for traffic enforcement and security.
Automatic Number Plate Recognition Market Players
Some of the prominent global automatic number plate recognition market companies are Bosch Security Systems, Inc., Q-Free ASA, ELSAG North America LLC, ARH, Inc., Genetec, Inc., NDI Recognition Systems LLC, PIPS Technology Ltd., Siemens AG, Tattile S.r.l., Vigilant Solutions, and Digital Recognition Systems, Ltd.