The automatic Number Plate Recognition System Market is estimated to reach USD 4.92 Billion by 2030, growing at a CAGR of 7.68% from 2022 to 2030, and it was valued at USD 3.28 Billion in 2022.
Increasing usage of video analytics technology for intelligent monitoring of vehicles and increasing investments by the government for intelligent monitoring of vehicles are the main driving elements for the market growth.
The integration of progressive technologies such as IoT, Deep Learning, and AI with the ANPR system promotes the growth of ANPR systems across applications such as access control and road usage charging. The growing number of infrastructure expansion projects worldwide, such as the Smart Cities mission and roadways modernization projects, promotes the development of the ANPR system market.
Automatic number plate recognition (ANPR) is a surveillance process that operates optical character recognition on view for reading objectives, such as vehicle license plates. ANPR can be used to store pictures clicked by the cameras along with a configurable view of the driver. This technology is mostly used by different police forces and as a method of electronic toll collection on pay-per-use roads and monitoring traffic movement. Automatic number plate recognition (ANPR) delivers real-time insights under Object Detection and Recognition (OCR) technology to identify license plates on vehicles. Various recognition processes such as closed-circuit television and cameras and character recognition are used. The automatic number plate recognition systems have increased efficiency for automatic toll tax collection, car theft, traffic control, and border crossings. Automatic Number Plate Recognition (ANPR) systems are mostly utilized in recognizing speeding cars, traffic law enforcement, and automated toll collection centers. There has been growing attention to highway speed limitations among drivers, which has allowed reduced highway accidents to a certain extent. Benefits of ANPR include – identifying potential threats, cost-effectiveness, increased security, ticketless, barrier-free system, vehicle area and crime deterrence, vehicle tax evasion detection, and enterprise premises access management.
The acceptance rate of ANPR systems in security & surveillance and traffic enforcement applications has grown in the recent past to monitor terrorist activities, frauds, and criminal cases. An ANPR system recreates an essential role in locating vehicles that have been stolen, are concerned in criminal violations, have violated traffic laws, been on the defaulter’s list for toll collection, and have expired insurance policies. The importance of security is giving police patrol cars the ability to detect, extract, and research number plates on the go. These ANPR systems are placed above the car’s roof, which can read at high speeds and have the information processed in a reliable black box in the trunk. ANPR cameras are also installed in fixed locations throughout the cities for real-time and large-scale monitoring and effective research in case of incidents connected to crime or terror. Progressive nations such as the US and the UK actively use fixed and mobile ANPR systems for security & surveillance and traffic enforcement applications.
ANPR systems are now being incorporated with artificial intelligence (AI) and the Internet of Things (IoT), letting the ANPR systems work more efficiently and capture more images in less time. Different companies now provide ANPR systems and software integrated with AI and IoT technology. For example, EFKON delivers ANPR systems based on artificial intelligence, providing a strong and ready-to-integrate system that captures diverse types of license plates. Also, Intelligent Integrated video (i2V) delivers i2V ANPR, an AI-based license plate detection, recognition, and search procedure. It allows notice of license plates in the field of view and keeps license plate and vehicle images in the database, allows the real-time detection of the license plate in the camera image and the recognition of English alphanumeric symbols in standard and non-standard formats, stores license plate data of vehicles which are stolen, wanted, hot-listed or suspect, and more.
Increased use of ANPR systems has increased the possibility of disclosing personal data to government agencies. ANPR systems record data such as the movement of vehicles at a particular time and location, capture images of passengers in the front seat of a vehicle and store them for a considerable length of time. It increases privacy concerns among people, hindering the growth of the automatic number plate recognition (ANPR) market.
Before the covid-19 Period, Automatic number plate recognition (ANPR) solutions were primarily operated by security agencies & police departments to ensure public safety worldwide. Security agencies and police departments use automatic number plate recognition (ANPR) solutions for primary applications, including gathering intelligence, identification of vehicles and crime investigation. Fixed or portable ANPR cameras are used to capture vehicle images and license plates and further connect them to a crime’s location and time.
During the covid-19 period, the world noticed a health and economic concern, causing many businesses to shut down their manufacturing plants and quit most of their operations during the initial 1 to 2 months. During this pandemic, the players’ main objective was to sustain their business by finding safer ways to continue manufacturing operations or find other tolerable ways to stream revenue. Traffic management, electronic toll collection, and parking management application segments experienced a drop in demand due to global supply chain troubles during this period.
After the covid-19 period, the growing need to deploy ANPR systems in security and surveillance and traffic is the other driving market growth. Besides, an increase in government initiatives to develop smart cities, including intelligent transportation systems and traffic management systems, indicates well for market growth.
Based on type, the global automatic number plate recognition (ANPR) market is segmented into Fixed ANPR Systems, Mobile ANPR Systems and Portable Systems. Fixed ANPR systems maintained the largest share of the ANPR system market. The growing use of fixed ANPR systems for traffic management solutions is a major driver for the sub-segment. With the increasing number of government endeavors worldwide to modernize roadways infrastructure, there is a raising need for enhancing the monitoring of vehicles and automated solutions for tolling, boosting the growth of the fixed ANPR system market.
Based on components, the global automatic number plate recognition (ANPR) market is segmented into ANPR Cameras, ANPR Software, Frame Grabbers and Triggers. ANPR Software noticed the highest CAGR in the ANPR system market during the forecast period. ANPR software is an essential part of the system. The integrated image processing software automatically examines the stream of incoming images for any vehicle and its number plate. Technological improvements have enabled increased detection rates and have improved accuracy by many folds. The increasing market for automated solutions such as red-light enforcement, speed detection & enforcement, obstacle control, vehicle color, model & build recognition, and several such solutions foster the growth of advanced ANPR software.
Based on application, the global automatic number plate recognition (ANPR) market is segmented into Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management and Access Control. Electronic toll collection application is expected to dominate the forecast period. With an upsurge in road connectivity, there is a growth in toll booths worldwide. To avoid overcrowding and improve monitoring & detection of vehicles at toll booths, there is an increasing market for automated solutions, which, in turn, encourages the usage of ANPR systems for tolling. ANPR systems enable the prevention of scams & frauds and improve the accuracy of road charging systems. Also, the use of ANPR systems reduces the wastage of fuel and the time and extra manpower involved in road charging activities.
Based on region, the global automatic number plate recognition (ANPR) market is segmented into North America, Europe, Asia-Pacific, South America and The Middle East & Africa. Asia-Pacific is expected to record the highest growth during the forecast period. The growing population and urbanization in Asia-Pacific have resulted in many vehicles. The governments in the region are vigorously embracing and executing infrastructure development projects, several of which are aimed at roadways modernization. In addition, there is fast growth in the number of shopping centers, recreational & sports facilities, malls & multiplexes, car parks, etc., in the region. Furthermore, there is an increasing need for effective border control and vehicle theft deterrence solutions.
The companies include Kapsch TrafficCom, Siemens, Conduent, Inc., HikVision, Q-Free ASA, Genetec, Inc., Adaptive Recognition, Axis Communication, Jenoptik Group and other prominent players in the global automatic number plate recognition (ANPR) market.
Report Attribute | Details |
---|---|
Revenue in 2021 | USD 2.28 billion |
The revenue forecast in 2028 | USD 4.92 billion |
Growth rate | CAGR of 9.68% from 2022 to 2028. |
Historical data | 2017 – 2020 |
Base Year | 2021 |
Forecast period | 2022 – 2028 |
Region covered | North America, Europe, Asia-Pacific, South America, and Middle East & Africa |
Key companies Profiled | The key players are Kapsch TrafficCom, Siemens, Conduent, Inc., HikVision, Q-Free ASA, Genetec, Inc., Adaptive Recognition, Axis Communication and Jenoptik Group. |
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1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation
2. Research Methodology
2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation
3. Executive Summary
4. Market Insights
4.1. Supply Chain Analysis
4.2. Economic Factor Analysis
4.2.1. Drivers
4.2.2. Trends
4.2.3. Opportunities
4.2.4. Challenges
4.3. Technological Landscape
4.4. Competitors & Product Analysis
4.5. Regulatory Framework
4.6. Company market share analysis, 2022
4.7. Porter’s Five forces analysis
4.8. Price point analysis
4.9. New Investment Analysis
4.10.PESTEL Analysis
4.11.Pre Covid-19 Impact
4.12.Covid-19 Impact
4.13.Post Covid-19 Impact
4.14.Economic Impact study on Global Automatic Number Plate Recognition (ANPR) Market
5. Global Automatic Number Plate Recognition (ANPR) Market, 2017-2030
5.1. Market size & Forecast, 2017-2030
5.1.1. Demand
5.1.1.1. By Value (USD Billion)
5.2. Market Share & Forecast, 2017-2030
5.2.1. By Type
5.2.1.1. Fixed ANPR Systems
5.2.1.2. Mobile ANPR Systems
5.2.1.3. Portable Systems
5.2.2. By Component
5.2.2.1. ANPR Cameras
5.2.2.2. ANPR Software
5.2.2.3. Frame Grabbers
5.2.2.4. Triggers
5.2.3. By Application
5.2.3.1. Traffic Management
5.2.3.2. Law Enforcement
5.2.3.3. Electronic Toll Collection
5.2.3.4. Parking Management
5.2.3.5. Access Control
5.2.4. By Region
5.2.4.1. North America
5.2.4.2. Europe
5.2.4.3. Asia Pacific
5.2.4.4. The Middle East & Africa
5.2.4.5. South America
6. North America Automatic Number Plate Recognition (ANPR) Market, 2017-2030
6.1. North America Automatic Number Plate Recognition (ANPR) Market size & Forecast, 2017-2030
6.1.1. Demand
6.1.1.1. By Value (USD Billion)
6.2. North America Automatic Number Plate Recognition (ANPR) Market Share & Forecast, 2017-2030
6.2.1. By Type
6.2.1.1. Fixed ANPR Systems
6.2.1.2. Mobile ANPR Systems
6.2.1.3. Portable Systems
6.2.2. By Component
6.2.2.1. ANPR Cameras
6.2.2.2. ANPR Software
6.2.2.3. Frame Grabbers
6.2.2.4. Triggers
6.2.3. By Application
6.2.3.1. Traffic Management
6.2.3.2. Law Enforcement
6.2.3.3. Electronic Toll Collection
6.2.3.4. Parking Management
6.2.3.5. Access Control
6.2.4. By Country
6.2.4.1. US
6.2.4.2. Canada
6.2.4.3. Mexico
7. Europe Automatic Number Plate Recognition (ANPR) Market, 2017-2030
7.1. Europe Automatic Number Plate Recognition (ANPR) Market size & Forecast, 2017-2030
7.1.1. Demand
7.1.1.1. By Value (USD Billion)
7.2. Europe Automatic Number Plate Recognition (ANPR) Market Share & Forecast, 2017-2030
7.2.1. By Type
7.2.1.1. Fixed ANPR Systems
7.2.1.2. Mobile ANPR Systems
7.2.1.3. Portable Systems
7.2.2. By Component
7.2.2.1. ANPR Cameras
7.2.2.2. ANPR Software
7.2.2.3. Frame Grabbers
7.2.2.4. Triggers
7.2.3. By Application
7.2.3.1. Traffic Management
7.2.3.2. Law Enforcement
7.2.3.3. Electronic Toll Collection
7.2.3.4. Parking Management
7.2.3.5. Access Control
7.2.4. By Country
7.2.4.1. Germany
7.2.4.2. UK
7.2.4.3. France
7.2.4.4. Italy
7.2.4.5. Rest of Europe
8. Asia Pacific Automatic Number Plate Recognition (ANPR) Market, 2017-2030
8.1. Asia Pacific Automatic Number Plate Recognition (ANPR) Market size & Forecast, 2017-2030
8.1.1. Demand
8.1.1.1. By Value (USD Billion)
8.2. Asia Pacific Automatic Number Plate Recognition (ANPR) Market Share & Forecast, 2017-2030
8.2.1. By Type
8.2.1.1. Fixed ANPR Systems
8.2.1.2. Mobile ANPR Systems
8.2.1.3. Portable Systems
8.2.2. By Component
8.2.2.1. ANPR Cameras
8.2.2.2. ANPR Software
8.2.2.3. Frame Grabbers
8.2.2.4. Triggers
8.2.3. By Application
8.2.3.1. Traffic Management
8.2.3.2. Law Enforcement
8.2.3.3. Electronic Toll Collection
8.2.3.4. Parking Management
8.2.3.5. Access Control
8.2.4. By Country
8.2.4.1. China
8.2.4.2. India
8.2.4.3. Japan
8.2.4.4. Australia
8.2.4.5. Rest of Asia pacific
9. The Middle East & Africa Automatic Number Plate Recognition (ANPR) Market, 2017-2030
9.1. The Middle East & Africa Automatic Number Plate Recognition (ANPR) Market size & Forecast, 2017-2030
9.1.1. Demand
9.1.1.1. By Value (USD Billion)
9.2. The Middle East & Africa Automatic Number Plate Recognition (ANPR) Market Share & Forecast, 2017-2030
9.2.1. By Type
9.2.1.1. Fixed ANPR Systems
9.2.1.2. Mobile ANPR Systems
9.2.1.3. Portable Systems
9.2.2. By Component
9.2.2.1. ANPR Cameras
9.2.2.2. ANPR Software
9.2.2.3. Frame Grabbers
9.2.2.4. Triggers
9.2.3. By Application
9.2.3.1. Traffic Management
9.2.3.2. Law Enforcement
9.2.3.3. Electronic Toll Collection
9.2.3.4. Parking Management
9.2.3.5. Access Control
9.2.4. By Country
9.2.4.1. Saudi Arabia
9.2.4.2. UAE
9.2.4.3. South Africa
9.2.4.4. Rest of The Middle East & Africa
10. South America Automatic Number Plate Recognition (ANPR) Market, 2017-2030
10.1. South America Automatic Number Plate Recognition (ANPR) Market size & Forecast, 2017-2030
10.1.1. Demand
10.1.1.1. By Value (USD Billion)
10.2. South America Automatic Number Plate Recognition (ANPR) Market Share & Forecast, 2017-2030
10.2.1. By Type
10.2.1.1. Fixed ANPR Systems
10.2.1.2. Mobile ANPR Systems
10.2.1.3. Portable Systems
10.2.2. By Component
10.2.2.1. ANPR Cameras
10.2.2.2. ANPR Software
10.2.2.3. Frame Grabbers
10.2.2.4. Triggers
10.2.3. By Application
10.2.3.1. Traffic Management
10.2.3.2. Law Enforcement
10.2.3.3. Electronic Toll Collection
10.2.3.4. Parking Management
10.2.3.5. Access Control
10.2.4. By Country
10.2.4.1. Brazil
10.2.4.2. Argentina
10.2.4.3. Rest of South America
11. Competitor Analysis
11.1. Company Description
11.2. Financial Analysis
11.3. Key Products
11.4. Key Management Personnel
11.5. Contact Address
11.6. SWOT Analysis
11.7. Company profile
11.7.1. Kapsch TrafficCom
11.7.2. Siemens
11.7.3. Conduent, Inc.
11.7.4. HikVision
11.7.5. Q-Free ASA
11.7.6. Genetec, Inc.
11.7.7. Adaptive Recognition
11.7.8. Axis Communication
11.7.9. Jenoptik Group
11.7.10. Other Prominent Players
The automatic Number Plate Recognition System Market is estimated to reach USD 4.92 Billion by 2030, growing at a CAGR of 7.68% from 2022 to 2030 and it was valued at USD 3.28 Billion in 2022.
The companies Kapsch TrafficCom, Siemens, Conduent, Inc., HikVision, Q-Free ASA, Genetec, Inc.,Adaptive Recognition, Axis Communication and Jenoptik Group are the key players in the global automatic number plate recognition (ANPR) market.
Increasing usage of video analytics technology for intelligent monitoring of vehicles and increasing investments by the government for intelligent monitoring of vehicles are the main driving elements for the market growth.
ANPR systems are now being incorporated with artificial intelligence (AI) and the Internet of Things (IoT), letting the ANPR systems work more efficiently and capture more images in less time. Different companies now provide ANPR systems and software integrated with AI and IoT technology.
Asia-Pacific is expected to record the highest growth during the forecast period.
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