Overview and Scope
Automatic number plate recognition (ANPR) refers to a technology that uses
optical character recognition (OCR) to automatically detect, read, and
interpret license plates on vehicles by automatically converting text in an
image into a machine-readable format. It captures images of license plates,
extracts the alphanumeric characters, and transforms them into text data that
can be used for various applications such as law enforcement, parking
management, toll collection, and traffic monitoring.
Sizing and Forecast
The automatic license plate recognition market size has grown rapidly in recent
years. It will grow from $7.09 billion in 2023 to $8.00 billion in 2024 at a
compound annual growth rate (CAGR) of 12.8%.
The growth in the historic period
can be attributed to integration with toll collection, parking management
needs, traffic management challenges, vehicle theft prevention, security
concerns, law enforcement needs.
The automatic license plate recognition market size is expected to see grown
rapidly in the next few years. It will grow to $13.16 billion in 2028 at a
compound annual growth rate (CAGR) of 13.2%.
The growth in the forecast period can be attributed to growing
investments in infrastructure, regulatory mandates for vehicle identification,
focus on traffic congestion management, emergence of 5G networks, rising demand
for vehicle tracking and recovery. Major trends in the forecast period include
expansion in commercial applications, collaboration with automotive industry, focus
on ai and machine learning, adoption of cloud-based, integration with IoT and
smart city solutions.
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Segmentation & Regional Insights
The automatic license plate recognition market covered in this report is
segmented –
1) By Product: Mobile, Fixed, Portable
2) By Application: Traffic Management,
Law Enforcement, Electronic Toll Collection, Parking Management, Other
Applications
3) By End-User: Government, Commercial
North America was the largest region in the automatic license plate
recognition market in 2023. The regions
covered in the automatic license plate recognition market report are
Asia-Pacific, Western Europe, Eastern Europe, North America, South America,
Middle East and Africa.
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Major Driver Impacting Market Growth
The rising demand for traffic management is expected to propel the growth of
the automatic license plate recognition market going forward. Traffic
management refers to planning, controlling, and purchasing transport services
needed to move vehicles and freight physically. The increase in demand for
traffic management is fueled by the need to address traffic congestion, enhance
mobility, and promote safer transportation networks. Automatic license plate
recognition systems are crucial in traffic monitoring and enforcement, as they
automatically capture and recognize license plate numbers. The combination of
advanced traffic management solutions and automatic license plate recognition
technology holds great promise for enhancing road safety and reducing the
number of road fatalities. For instance, in June 2023, according to the
Americas Traffic Safety Crisis Report published by National Transportation
Research (TRIP), a US-based non-profit organization, the number of road fatalities
in the United States climbed by 19% from 36,096 in 2020 to 42,795 in 2022.
Further, the fatality rate per 100 million vehicle miles traveled in the
US increased by 22%, from 1.11 in 2021
to 1.35 in 2022. Therefore, the rising concern for traffic management is
driving the growth of the automatic license plate recognition market.
Key Industry Players
Major companies operating in the automatic license plate recognition market are
Siemens AG, Neology Inc., Motorola Solutions, Axis Communications, Verint
Systems Inc., ParkingEye Limited, Vivotek, Genetec Technology, Kapsch
TrafficCom, Bosch Security Systems, Euro Car Parks Limited (UK), GeoVision
Inc., Senstar Technologies, TagMaster AB, Tattile S.r.l., NDI Recognition
Systems, Quercus Technologies, Petards Group Plc, Shenzhen AnShiBao, Digital
Recognition Systems Ltd., PlateSmart Technologies, Sighthound, Rekor Rank One Computing, NEXCOM, Flock
Safety
The automatic license plate recognition market report table of contents
includes:
1. Executive Summary
2.
Automatic License Plate Recognition Market Characteristics
3.
Automatic License Plate Recognition Market Trends And Strategies
4.
Automatic License Plate Recognition Market - Macro Economic Scenario
5. Global
Automatic License Plate Recognition Market Size and Growth
.
32. Global Automatic License Plate Recognition Market Competitive Benchmarking
33. Global
Automatic License Plate Recognition Market Competitive Dashboard
34. Key
Mergers And Acquisitions In The Automatic License Plate Recognition Market
35.
Automatic License Plate Recognition Market Future Outlook and Potential
Analysis
36.
Appendix
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