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Global Automatic Number Plate Recognition Market 2024–2033

Market size, share and growth analysis by type, component and application, across all major regions and key countries, with forecasts for 2022–2030. The competitive landscape profiles 10+ companies, including Kasich TrafficCom AG and Siemens AG.

  • 220+ Pages
  • 10+ Companies
  • 77+ Tables
  • 28+ Charts
  • Base year 2025
  • Forecast 2026-2035
  • Global coverage
USD 2.9 Bn
Market size, 2022
USD 6 Bn
Forecast, 2030
10%
CAGR, 2022-2030
Europe
Largest region
Asia-Pacific
Fastest-growing region
OverviewTable of ContentsSegmentsCompany Listing

The global automatic number plate recognition market was valued at USD 2.9 Bn in 2022 and is projected to reach USD 6 Bn by 2030, growing at a CAGR of 10%. Europe is the largest regional market and Asia-Pacific is growing fastest.

Reports Description

According to Custom Market Insights (CMI), The Global Automatic Number Plate Recognition Market size was estimated at USD 2.5 Billion in 2021 and is expected to reach USD 2.9 Billion in 2022 and is anticipated to reach around USD 6 Billion by 2030, growing at a CAGR of roughly 10% between 2022 and 2030.

The global Automatic Number Plate Recognition Market research report offers an in-depth analysis of the worldwide market size, which is further segmented into regional and country-level market size, and segmentation market growth. Also, it provides market share, sales analysis, competitive landscape, impact of domestic and global market participants, trade regulations, value chain optimization, recent key developments, strategic market growth analysis, opportunities analysis, product launches, and technological innovations.

Automatic Number Plate Recognition Market Size 2022 to 2030

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  • Automatic number plate systems provide fast traffic control in parking lots, the automation of access control systems with the implementation of a ticket-free system, and new, effective law enforcement methods. ANPR cameras are set higher to ensure a larger field of vision of the entire parking lot, capturing the vehicle's license plate number as it enters or exits the building.
  • ANPR cameras are integrated with car parking management systems, which record the allowed vehicle's entry and exit timing information and the parking spot and owner's information. The information regarding the vehicle and the responsible party who damaged the parked car in the parking lot can be found in the system records if any car in the parking is injured by another vehicle. Their use is expanding for smart parking to address these issues, fueling the market for automatic number plate recognition systems.
  • The most recent generation of mobile ANPR systems has sensors that can scan license plates up to 60 times per second, both front and back, in all lighting circumstances. Since they are deployed in specific vehicles used by intelligence services or emergency services to support protection and surveillance operations, these mobile ANPR devices are an intelligent way to prevent traffic accidents since they are constantly watchfully on the road.
  • Many businesses are being impacted by Covid 19. There are some obstacles in the market for automatic number plate identification. In many areas, the number of roadside cameras is declining. Vehicles on the road are subject to limitations. The need for automatic number plate recognition is seeing a decrease in demand due to restrictions and lockdowns. There is less traffic congestion overall, but especially in the megacities. The market is also severely disrupted by the supply chain. Numerous end users have cut back on their need for number plate recognition.
  • Currently, there is a decline in the adoption of automatic number plate recognition. There will likely be a tonne of traffic on the roadways in the upcoming year. In the future years, there will be fewer traffic restrictions. The amount of money that governments are investing in these technologies is increasing. Particularly, markets like the Asia Pacific are seeing an increase in demand for the product. The need for automatic number plate recognition will benefit from all of these.

Report Scope

The study focuses on Automatic Number Plate Recognition Market analysis on a global scale, and market sizing includes the revenue generated by these products provided by different market players. To support the market projections and growth rates over the anticipated 2022-2030, the study additionally monitors essential market factors, underlying growth factors, and significant vendors active in the sector. The study also examines how COVID-19 has affected the ecology generally. The scope of the study includes market sizing and forecast for segmentation by type, component, application, and geography.

Feature of the Report Details
Market Size in 2021 USD 2.5 Billion
Projected Market Size in 2030 USD 6 Billion
Market Size in 2022 USD 2.9 Billion
CAGR Growth Rate 10% CAGR
Base Year 2023
Forecast Period 2024-2033
Prominent Players Kasich TrafficCom AG, Siemens AG, Vigilant Solutions, Conduent Inc., Leonardo Company, Tattile SRL, Jenoptik Group, Neology Inc., Genetec Inc., Bosch Group, and Others
Key Segment By Type, Component, Application, and Region
Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends
Regional Scope North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America
Buying Options Request tailored purchasing options to fulfil your requirements for research.

Key Market Dynamics

  • The expansion of the worldwide automated number plate recognition market is anticipated to be fueled by rising demand for ANPR systems for traffic enforcement and management over the projected period. A regular occurrence all across the world is the rise in traffic accidents caused by violations of the law. The World Health Organization (WHO) estimates that 1.35 million individuals each year pass away as a result of traffic accidents. The same source estimates that road traffic accidents cost the majority of nations about 3% of their GDP.
  • To increase traffic safety, traffic police departments worldwide are implementing innovative technologies. Since it promotes mobility and traffic safety, automatic number plate recognition is crucial in traffic management. Free-flowing traffic can be made possible through traffic system improvement, leading to quicker mobility and minimal financial loss. Additionally, this technology is economical because it does not need to install gear inside the car or halt traffic.
  • Over the projected period, a rising need for better security in the public sector is anticipated to fuel the expansion of the global automatic number plate recognition market. Security companies and police organizations employ automated number plate recognition technology to maintain public safety.
  • Police departments often employ ANPR for three primary purposes: intelligence gathering, identifying vehicles used by criminals, and criminal investigation. For instance, a police department in the United States has set up ANPR cameras across all 51 states to trace automobiles used in illegal activity. This is because ANPR systems have the potential to build databases in real-time.

Software Segment to Dominate the Automatic Number Plate Recognition Market

  • The ANPR system market can be divided into three categories based on its components: hardware, software, and services. The demand for ANPR frameworks was led by the hardware segment, which is expected to grow significantly during the projected period. The need will likely increase with IoT, enabling radical hardware synchronization through cloud-based computing services.
  • The development of the hardware sector is accelerated by the rising demand for ANPR cameras for integration into aeroplanes, patrol vehicles, and Unmanned Aerial Vehicles (UAVs). The effectiveness of ANPR hardware has been improved thanks to significant developments in digital signal processors (DSPs) and field programmable gate arrays (FPGAs). These gadgets currently use a different camera, which is then processed by a separate PC.
  • The software market will continue to expand steadily. It relates to photo and character recognition through the ANPR system's OCR, GUI, and database. The development of the software sector is driven by the growing emphasis businesses place on developing online ANPR software. The program's growth is driven by the increasing demand for ANPR software that supports ANPR cameras from multiple OEMs.

Competitive Landscape

Leading firms in the automatic number plate recognition system market use collaborations and product innovation as essential tactics to increase their revenue. To enhance their market share, manufacturers in the ANPR system market focus on developing innovative goods and services.

  • 2020: To identify vehicle color, class, model, and other information, Q-Free ASA created vehicle analytics solutions for its ANPR portfolio.
  • 2019: Next-generation mobile automatic license plate recognition systems with Intel's Vision processing unit technology were unveiled by Genetec Inc.

Prominent Players

  • Kasich TrafficCom AG
  • Siemens AG
  • Vigilant Solutions
  • Conduent Inc.
  • Leonardo Company
  • Tattile SRL
  • Jenoptik Group
  • Neology Inc.
  • Genetec Inc.
  • Bosch Group

On the basis of Geography

North America

  • U.S.
  • Canada
  • Mexico
  • Rest of North America

Europe

  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Rest of Europe

Asia Pacific

  • China
  • Japan
  • India
  • New Zealand
  • Australia
  • South Korea
  • Rest of Asia Pacific

The Middle East & Africa

  • Saudi Arabia
  • UAE
  • Egypt
  • Kuwait
  • South Africa
  • Rest of the Middle East & Africa

Latin America

  • Brazil
  • Argentina
  • Rest of Latin America

Global Automatic Number Plate Recognition Market 2024–2033

Updated: July 2026 · Formats: PDF, Excel, PPT

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Frequently asked questions

Which region will dominate the global Automatic Number Plate Recognition market?

"North America" region will lead the global Automatic Number Plate Recognition market during the forecast period 2022 to 2030.

Which are the driving factors of the Automatic Number Plate Recognition market?

The key factors driving the market is expanding use of surveillance technologies on highways.

Who are the top players operating in the Automatic Number Plate Recognition market?

The key players operating in the Automatic Number Plate Recognition market are Kasich TrafficCom AG, Siemens AG, Vigilant Solutions, Conduent Inc., Leonardo Company, Tattile SRL, Jenoptik Group, Neology Inc., Genetec Inc., Bosch Group

What will be the CAGR of global Automatic Number Plate Recognition market?

The global Automatic Number Plate Recognition market is expanding growth with a CAGR of approximately 10% during the forecast period (2022 to 2030).

What is the existing size of Automatic Number Plate Recognition market?

The global Automatic Number Plate Recognition market size was valued at USD 2.5 Billion in 2021 and it is projected to reach around USD 6 Billion by 2030.

Meet the team

Ayush Kadam

Ayush Kadam

Author · Sr. Research Analyst

Ayush Kadam is a Senior Market Research Analyst at Custom Market Insights, with over seven years of experience in syndicated and custom market research. He specializes in market sizing, competitive intelligence, industry trends, forecasting, and strategic insights, helping clients turn complex data into actionable business decisions.

Read more about Ayush Kadam

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