Automatic number plate recognition (ANPR), also termed as automatic license plate recognition, is a method to read alphanumeric characters on the license plate of vehicles by using the optical character recognition method. ANPR is considered one of the most effective methods for tackling traffic issues. The overall system is divided into two phases; the first one is to capture an image of a license plate and the second stage comprises image processing to recognize characters on the license plate with the help of software.
The automatic number plate recognition system is rapidly becoming a crucial part of maintaining security and order in traffic management. Apart from this, ANPR is also applied for many applications such as car park management, journey time analysis, weighbridges as well as automatic tolling system. A typical ANPR comprises two main components. The first component is the image acquiring camera, which captures the image of the license plate of automobiles. The latter is a computer equipped with number plate recognition software that processes the captured image.
The most common application of ANPR is in the law enforcement department for effective traffic management. With the overall rising illegal activities such as motor vehicle theft and over speeding, the demand for the ANPR system is estimated to remain strong in the coming years. In addition, the market growth is estimated owing to the increasing efforts by the market players towards product enhancement. ANPR manufacturers are striving to develop an improved system to capture images even in hostile conditions such as motion blur, defocusing blur, poor lighting, and severe angles. Consequently, the market has emerged quite competitive over the past few years. Strong players are focus on automation of the services such as automatic toll collection, automatic car park system, and automatic gas station services.
The report titled “Automatic Number Plate Recognition (ANPR) System - Growth, Future Prospects, and Competitive Landscape, 2023 – 2030” offers strategic insights into the global ANPR system market along with the market size and estimates for the duration 2020 to 2030. The said research study covers in-depth analysis of multiple market segments based on application, end-user, and cross-sectional study across different geographies. The study covers the comparative analysis of different segments for the years 2021 & 2030. The report also provides a prolific view on market dynamics such as market drivers, restraints, and opportunities.
In order to help strategic decision-makers, the report also includes competitive profiling of the leading ANPR manufacturers, their business strategy analysis, market positioning, and key developments. Some of the major players profiled in the report Digital Recognition Systems Ltd., NDI Recognition Systems Ltd., Vigilant Solutions Inc., Siemens AG, 3M., Bosch Security Systems, COBAN Technologies, Vysionics Intelligent Traffic Solutions Ltd., SensysGatso, Redflex Traffic System, and others. Other in-depth analysis provided in the report includes:
The global automatic number plate recognition market based on its applications:
The ANPR system is used across various applications such as automobile security and surveillance, toll enforcement, vehicle parking along with traffic management. Amongst these, security and surveillance are the largest segments, in terms of revenue of the overall ANPR systems market worldwide. The segment is also among the fastest-growing applications ANPR system, making it the most lucrative segment in the coming years.
The overall demand for the ANPR system is estimated to remain slow in the toll management segment, majorly due to the growing adoption of automated toll collection systems. In addition, the segment has less penetration of the ANPR system and is still dependent upon employing humans for toll collection, especially in developing economies. Further, the automated parking sector is estimated to witness strong growth during the forecast period. With smart utilization of space by applying a multistoried parking facility, the sector may emerge lucrative for the overall ANPR system industry in the coming years.
The global automatic number plate recognition market based on its end-user:
The ANPR system is being adopted both by the government as well as in the commercial sector for a variety of applications. Within the government segment, the ANPR system is employed majorly for homeland security. Due to rising instances related to theft as well as transit crimes, this segment is estimated to exhibit high growth in the forthcoming years. Governments of countries such as the U.S., the U. K., Germany, France, and others have adopted ANPR systems for security, surveillance, law enforcement, and defense application. Consequently, consistent growth in the overall ANPR system market of the aforementioned countries is expected in the forthcoming years.
The overall demand for the ANPR system in the commercial sector is estimated to follow the government sector. The commercial sector in developing cities is adopting the ANPR system for effective vehicle management. In addition, automatic number plate recognition systems are also being installed for dedicated car parks. With growing commercial sectors and increasing demand for an effective car parking system, the ANPR system has been adopted in recent times. Consequently, these factors are expected to spur the overall automatic number plate recognition market during the forecast period.
As of 2015, the automatic number plate recognition market worldwide is dominated by the European region. Countries such as the U.K., Italy, Germany, and France are amongst the earliest to adopt the ANPR system to counter traffic management issues. In addition, Europe enjoys a strong presence of major ANPR system manufacturers, which further supports the market growth. Strong technological acceptance and easy availability of the system have made Europe monopolize the overall automatic number plate recognition market.
North America succeeds in the European region, in terms of revenue, of the global ANPR system market, as of 2015. The U.S. has adopted the ANPR system extensively with no established legal framework limiting the use of the ANPR system. Asia Pacific is expected to be the fastest-growing market for the ANPR system. A rise in demand for automobiles in developing countries of Asia Pacific including China, Japan, India, and others is expected to be promising for growth in the ANPR system market during the forecast period.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Automatic Number Plate Recognition (ANPR) System market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
| ATTRIBUTE | DETAILS |
|---|---|
| Research Period | 2022-2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Year | 2022 |
| Unit | USD Million |
| Segmentation | |
Application
| |
End Use
| |
|
Region Segment (2022-2032; US$ Million)
|
Key questions answered in this report
