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市场调查报告书
商品编码
1673846
自动车牌识别市场按类型、应用程式、最终用户和地区划分Automatic Number Plate Recognition Market, By Type, By Application, By End User, By Geography |
2025 年全球自动车牌辨识市场规模预计为 507.1 亿美元,预计到 2032 年将达到 1,114.7 亿美元,2025 年至 2032 年的复合年增长率为 11.9%。
报告范围 | 报告详细信息 | ||
---|---|---|---|
基准年 | 2024 | 2025年的市场规模 | 507.1亿美元 |
效能资料 | 从2020年到2024年 | 预测期 | 2025年至2032年 |
预测期:2025-2032年复合年增长率: | 11.90% | 2032年价值预测 | 1114.7亿美元 |
由于主要国家对安全问题的日益关注和交通法规的严格执行,全球自动车牌识别市场在过去十年中经历了显着增长。 ANPR 系统利用光学字元辨识技术结合红外线摄影机来取得车辆登记号码。这使得交通管理部门和执法机构能够有效地控制车辆交通并遏制非法活动。随着现有道路基础设施透过智慧连接解决方案日益现代化,预计未来几年先进 ANPR 解决方案的采用将进一步成长。
全球自动车牌识别市场受到多种因素的推动,例如公共道路和高速公路上监视录影机的安装增加、对智慧城市和交通基础设施建设的投资增加,以及要求使用车牌有效监控车辆移动的严格法规。然而,ANPR 摄影系统和相关软体工具的高昂前期成本继续阻碍其广泛采用。深度学习和人工智慧能力的不断发展为供应商提供了丰厚的机会,以开发具有更高准确性、读取率和与其他物联网网路整合的下一代解决方案。此外,云端基础的ANPR 服务的日益普及也有望在预测期内推动市场成长。
本报告对全球自动车牌识别市场进行了详细分析,并给出了预测期(2025-2032)的市场规模和年复合成长率(CAGR%),假设 2024 年为基准年。
它还揭示了各个领域的潜在商机,并说明了该市场的引人注目的投资提案矩阵。
它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景和主要企业采用的竞争策略的主要考察。
全球自动车牌识别市场的主要企业是根据公司亮点、产品系列、关键亮点、财务表现和策略等参数进行的分析。
研究中介绍的主要企业包括 Adaptive Recognition、Anpr International、Arvoo Imaging Products、Bosch Security Systems、Clearview Communications、Digital Recognition Systems、EFKON、Genetec、Jenoptik、Kapsch TrafficCom、NDI Recognition Systems、Neology、Q-Free、Siemens 和 Tle。
本报告的见解可以帮助负责人和公司经营团队就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。
全球自动车牌识别市场报告迎合了该行业的各个相关人员,例如投资者、供应商、产品製造商、经销商、新进业者和金融分析师。
可以透过用于分析全球自动车牌识别市场的各种策略矩阵来促进相关人员的决策。
Global Automatic Number Plate Recognition Market is estimated to be valued at USD 50.71 Bn in 2025 and is expected to reach USD 111.47 Bn by 2032, growing at a compound annual growth rate (CAGR) of 11.9% from 2025 to 2032.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2024 | Market Size in 2025: | USD 50.71 Bn |
Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
Forecast Period 2025 to 2032 CAGR: | 11.90% | 2032 Value Projection: | USD 111.47 Bn |
The global automatic number plate recognition market has seen significant growth in the past decade due to rising security concerns and enforcement of stringent traffic laws across major countries. ANPR systems help capture vehicle registration numbers using optical character recognition technology coupled with infrared cameras. This has enabled traffic monitoring authorities and law enforcement agencies to effectively manage vehicular traffic and curb illegal activities. Ongoing modernization of existing roadway infrastructure with smart connectivity solutions is expected to further propel the adoption of advanced ANPR solutions in the coming years.
The global automatic number plate recognition market is driven by factors such as rising installations of surveillance cameras on public roads and highways, increasing investments towards the development of smart cities and transportation infrastructure, and stringent regulations mandating the use of number plates for effective monitoring of vehicle movement. However, high initial costs associated with ANPR camera systems and related software tools continue to restrain broader adoption. Ongoing advancements in deep learning and AI capabilities offer lucrative opportunities for vendors to develop next-generation solutions with enhanced accuracy, read rates, and integration with other IoT networks. Additionally, growing use of cloud-based ANPR services is also expected to boost the market growth during the forecast period.
This report provides in-depth analysis of the global automatic number plate recognition market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2025-2032), considering 2024 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, market trends, regional outlook, and competitive strategies adopted by key players
It profiles key players in the global automatic number plate recognition market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
Key companies covered as a part of this study include Adaptive Recognition, Anpr International, Arvoo Imaging Products, Bosch Security Systems, Clearview Communications, Digital Recognition Systems, EFKON, Genetec, Jenoptik, Kapsch TrafficCom, NDI Recognition Systems, Neology, Q-Free, Siemens, and Tattile
Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
The global automatic number plate recognition market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global automatic number plate recognition market