市場調查報告書
商品編碼
1074874
汽車牌照自動識別(ANPR)系統的全球市場預測:各零組件(軟體,觸發器,硬體設備,服務),類型,用途,終端用戶,地區的世界分析(~2028年)Automatic Number Plate Recognition (ANPR) System Market Forecasts to 2028 - Global Analysis By Component (Software, Triggers, Hardware, Services), Type, Application, End User, and By Geography |
全球汽車牌照自動識別(ANPR)系統的市場規模,2021年以28億3,000萬美元,在預測期間內預計以9.5%的年複合成長率成長,預計2028年達到53億4,000萬美元。
本報告提供全球汽車牌照自動識別(ANPR)系統市場調查,市場概要,市場規模和預測,趨勢,成長要素及阻礙因素,各零組件、類型、用途、終端用戶、地區的分析等全面性資訊。
According to Stratistics MRC, the Global Automatic Number Plate Recognition (ANPR) System Market is accounted for $2.83 billion in 2021 and is expected to reach $5.34 billion by 2028 growing at a CAGR of 9.5% during the forecast period. Automatic number plate systems provide high-speed traffic management at parking areas, the ability to automate access control systems with a setup of ticket-free system, providing new and more efficient law enforcement. ANPR cameras are mounted at a higher mounting location to assure a wider field view of the whole parking lot, so that the vehicle license plate number is captured using cameras on entering or exiting the premises. ANPR cameras are integrated with vehicle parking management systems that contain the record of entrance and exit timing information of the authorized vehicle, along with parking location and owner's information.
Market Dynamics:
Driver:
Growing integration of AI and IoT technologies with ANPR systems
Major companies are providing ANPR systems and software integrated with AI and IoT technology. For instance, EFKON provides ANPR systems based on artificial intelligence, providing a robust and ready-to-integrate system, captures diverse types of license plates. Moreover, Intelligent Integrated video (i2V) provides i2V ANPR, an AI-based license plate detection, recognition, and search system. It helps to detect license plates in the field of view and saves license plate and vehicle images in the database, enables the real-time detection of the license plate in the camera view and the recognition of English alphanumeric characters in standard and non-standard formats, stores license plate data of vehicles which are stolen, wanted, hot-listed or suspicious, and more.
Restraint:
Data privacy concerns
The ANPR systems can cross-check ANPR data with lists of driver information. These lists include details of those without valid insurance or suspects in ongoing investigations. In addition to immediate cross-checking for problem cases, the data may be retained for future use in criminal investigations. This data can be used for data mining in a number of ways such as identifying all vehicles that have taken a particular route during a particular time frame, real-time and retrospective vehicle tracking, locating offenders or identifying potential witnesses, linking individuals to identify vehicles traveling in convoy, and subject analysis when ANPR data is integrated with other sources of data (CCTV, communications analysis, financial analysis) to create an in-depth profile of an individual. Therefore, it poses greater risks to individual privacy.
Opportunity:
Rising use of cloud storage
The growing use of cloud storage will create market growth opportunities. The automatic number plate's recognition system is effective in cloud platforms. There are more uses of these systems when integrated with the cloud. Cloud is available in every region. Many enterprises use the cloud on daily basis. The ANPR systems can store plenty of data. There is plenty of unstructured data in this system. Moreover, with the cloud storing the data of ANPR systems is possible. The storage available in the cloud is scalable and reliable. The low cost, the flexible and high storage platform of the cloud offers more scope for the ANPR market. Further, the demand from the emerging economies is another growth prospect for the automatic number plate recognition market.
Threat:
Inconsistency in number plate designs
A major threat faced by the manufacturers of ANPR systems is the inconsistency in number plate designs. Number plates differ in terms of their size or fonts in every part of the world; due to this, it becomes difficult to construct an algorithm that would read all fonts without any discrepancy. If the ANPR software is not accurate, it may misread registration numbers, which may create problems in security and surveillance activities. Certain factors such as different illumination conditions, vehicle shadow, the non-uniformity of license plate characters, different fonts, and background colors affect the performance of ANPR systems. A few systems work in these restricted conditions and might not be accurate.
The ANPR software segment is expected to be the largest during the forecast period
The ANPR software segment is estimated to have a lucrative growth owing to the rising demand for automated solutions such as red-light enforcement, speed detection & enforcement, barrier control, vehicle colour, model & build recognition, and several such solution. The integrated image processing software automatically scans the stream of incoming images for any vehicle and its number plate. ANPR software enables the conversion of captured images into a digital format for electronic storage and future reference. Technological advancements have enabled increased rates of detection and have enhanced accuracy by many folds.
The fixed ANPR systems segment is expected to have the highest CAGR during the forecast period
The fixed ANPR systems segment is anticipated to witness the fastest CAGR growth during the forecast period owing to the rising usage of fixed ANPR systems for traffic management solutions. Increasing demand for automated parking management solutions is also driving the demand for fixed ANPR systems in airports, car parks, shopping centers, etc. With the growing number of government initiatives across the world to modernize roadways infrastructure, there is a rising demand for improving the monitoring of vehicles and for automated solutions for tolling, which are promoting the growth of the fixed ANPR system market.
Region with highest share:
Europe is projected to hold the largest market share during the forecast period owing to the increasing government initiatives to raise security on road. Due to the demand for surveillance systems is surging. These factors act as drivers that increase revenue in the market. Further, growth opportunities are plenty in the European market. It is a region that will market the highest expansion rate in the forecast period. The adoption of the ANPR is increasing due to these reasons. All these factors will have an exceptional impact on the ANPR market growth in the European region.
Region with highest CAGR:
Asia Pacific is projected to have the highest CAGR over the forecast period owing to the growing urbanization in the region. The governments in the region are actively adopting and implementing infrastructure development projects, several of which are aimed at roadways modernization. In addition, there is an increasing demand for solutions for effective border control and vehicle theft prevention. Moreover, there is a rapid growth in the number of shopping centers, recreational & sports facilities, malls & multiplexes, and car parks, etc. in the region. Owing to these factors, Asia Pacific has become one of the fastest-growing markets for ANPR systems market.
Key players in the market
Some of the key players profiled in the Automatic Number Plate Recognition (ANPR) System Market include Axis Communications, Bosch Group, Conduent, Inc, Genetec, Inc, HikVision, Jenoptik Group, Kapsch TrafficCom, Leonardo Company, Nedap, Neology Inc., Q-Free ASA, Siemens, TagMaster, Tattile SRL, and Vigilant Solutions.
Key Developments:
In May 2021, Genetec Inc. introduced AutoVu™ SharpZ, its gen-next mobile number plate recognition system to bring new degrees of insight in vehicle analytics, accuracy, and situational awareness. The novelty also helps to track different types of vehicles in parking lots and around the city.
In December 2021, TagMaster, a leading provider of identification and mobility solutions, announced the enhancement of its ANPR technology to enable the management of site capacity at Household Waste Recycling Center (HWRC) sites with high volumes of visitors.
In November 2021, Bosch Security Systems launched video analytics software, named Traffic Detector primarily for traffic applications such as number plate recognition, incident detection, and intersection monitoring.
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