Marché mondial des systèmes de reconnaissance automatique des plaques d’immatriculation – Tendances et prévisions de l’industrie jusqu’en 2029

Analyse du marché et perspectives du marché des systèmes de reconnaissance automatique des plaques d'immatriculation

Data Bridge Market Research analyse que le marché de la reconnaissance automatique des plaques d'immatriculation afficherait un TCAC de 7,30 % pour la période de prévision 2022-2029. Le nombre croissant de voitures particulières sur les routes, en particulier dans les économies en développement, l'accent accru mis sur le renforcement des systèmes de sécurité, la croissance et l'expansion de l'industrie automobile, en particulier dans les économies en développement, et le nombre croissant d'accidents de la route, de ruptures de signalisation et d'autres incidents de ce type sur les routes sont les principaux facteurs attribuables à la croissance du marché de la reconnaissance automatique des plaques d'immatriculation. Par conséquent, la valeur du marché pourrait grimper à 4,74 milliards USD d'ici 2029.

Le nom même du système de reconnaissance automatique des plaques d'immatriculation indique clairement qu'il s'agit d'une technologie installée sur les routes à des endroits désignés pour identifier le numéro de la plaque et identifier son propriétaire en cas de besoin. En d'autres termes, les systèmes de reconnaissance automatique des plaques d'immatriculation sont utilisés pour la surveillance de masse qui permet la reconnaissance optique des caractères et la capture d'images.

La croissance du niveau d'investissement dans les activités de recherche et développement et la demande croissante de systèmes de gestion du trafic, d'application de la loi, de perception des péages, de gestion du stationnement et de contrôle d'accès favoriseront la croissance de la valeur marchande. L'intégration croissante des bases de données de stockage en nuage avec la technologie de surveillance, associée aux innovations technologiques croissantes concernant la compatibilité du système avec les smartphones, créera également des opportunités de croissance lucratives pour le marché. La croissance de l'utilisation de la technologie d'analyse vidéo pour la surveillance intelligente des véhicules favorisera également la croissance du marché.

However, lack of technological expertise in the developing and underdeveloped economies and lacking consistency in the designs of number plate will pose major challenges to the market growth rate. High costs involved with technological innovations and research and development proficiencies and wrong interpretation of unclear characters on the number plate will hamper the market growth rate. Further, car cloning techniques to evade automatic number plate recognition systems high installation and maintenance costs and unwillingness to exchange air filters will also restrict the scope of growth for the market.

This global automatic number plate recognition market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on automatic number plate recognition market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Automatic Number Plate Recognition System Market Scope and Market Size

The global automatic number plate recognition market is segmented on the basis of component, type, application and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.

• On the basis of component, the automatic number plate recognition system market is segmented into automatic number plate recognition cameras, automatic number plate recognition software, frame grabbers, triggers, and others.
• On the basis of type, the automatic number plate recognition system market is segregated into fixed automatic number plate recognition syst11ems, mobile automatic number plate recognition systems, and portable automatic number plate recognition systems.
• On the basis of application, the automatic number plate recognition system market is bifurcated into traffic management, law enforcement, electronic toll collection, parking management, and access control.
• On the basis of end user, the automatic number plate recognition system market is fragmented into government, homeland security, traffic department, defense, commercial, entertainment and recreation facilities, and dedicated car parks.

Automatic Number Plate Recognition System Market Country Level Analysis

The global automatic number plate recognition market is analysed and market size insights and trends are provided by country, component, type, application and end user as referenced above.

The countries covered in the automatic number plate recognition market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), South Africa, Saudi Arabia, U.A.E, Israel, Egypt, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America dominates the automatic number plate recognition market and will continue to flourish its trend of dominance during the forecast period owing to the rapid digitalization of traffic monitoring devices on highways, bridges, and tunnels. Asia-Pacific will however, score the highest growth rate owing to the growing adoption of highly advanced technologies, increasing research and development activities, growth and expansion of automotive and surveillance sectors in this region and rising personal disposable income.

The country section of the automatic number plate recognition market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of sales channels are considered while providing forecast analysis of the country data.

Competitive Landscape and Automatic Number Plate Recognition System Market Share Analysis

The automatic number plate recognition market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to automatic number plate recognition market.

Certains des principaux acteurs opérant sur le marché de la reconnaissance automatique des plaques d'immatriculation sont Kapsch TrafficCom AG, Conduent, Inc., Q-Free ASA., Siemens, Genetec Inc., Adaptive Recognition Inc., Neology Inc., Vigilant Solutions., Bosch Security Systems, LLC., Tattile srl, Digital Recognition Systems Ltd., NDI Recognition Systems., Axis Communications AB, Vaxtor Ltd, Leonardo USA, Northrop Grumman Corporation, Lockheed Martin Corporation, Thales Group, Raytheon Company et Honeywell International, Inc., entre autres.

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