市场调查报告书
商品编码
1627941
电子道路收费(ETC) 市场机会、成长动力、产业趋势分析及 2024 年至 2032 年预测Electronic Toll Collection (ETC) Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032 |
全球电子道路收费(ETC) 市场预计到2023 年将达到75 亿美元,从2024 年到2032 年,复合年增长率将达到11.9%。 ,当局正在积极推动这一成长。透过促进电子收费,政府旨在改善交通流量、减少拥塞并降低环境影响。为了鼓励 ETC 的采用,他们提供补贴、财政激励和政策,激励收费业者和驾驶者过渡到数位系统。
此外,先进技术的整合在推动 ETC 市场方面发挥关键作用。随着交通网路变得更加数位化和互联,ETC 系统正在融入 RFID、物联网和人工智慧等现代技术解决方案。这些增强功能可实现无缝、非接触式通行费支付,提高驾驶员的便利性,同时改善交通管理并降低收费业者的营运成本。这种与数位交通趋势的结合正在加速 ETC 的采用,支持市场的大幅成长。
ETC 市场按技术细分,包括 RFID、DSRC、GPS/GNSS 和视讯分析。 2023 年,RFID 领域占据超过 29% 的市场份额,预计到 2032 年将超过 68 亿美元。 -免费的支付解决方案。世界各地的政府和收费机构正在推动加强道路基础设施和无现金支付方式,其中 RFID 作为可靠且适应性强的选择脱颖而出。
市场范围 | |
---|---|
开始年份 | 2023年 |
预测年份 | 2024-2032 |
起始值 | 75 亿美元 |
预测值 | 206 亿美元 |
复合年增长率 | 11.9% |
此外,基于 RFID 的 ETC 系统允许旅客在不同的收费网路中使用单一 RFID 标籤,从而提高便利性并简化收费流程。这些系统提供高效、经济且用户友好的收费解决方案,使 RFID 成为 ETC 市场的重要选择。
该市场还按子系统进行细分,包括自动车辆分类(AVC)、违规执法系统(VES)和自动车辆识别系统(AVIS)。到 2023 年,由于其在收费、减少拥塞和自动化方面的效率,AVIS 将占据约 45% 的市场份额。 AVIS 利用 RFID 和车牌识别等技术来自动识别车辆,满足不断增长的免持和非接触式收费需求。
2023 年,美国市场处于领先地位,占据ETC 市场份额的69% 以上,预计到2032 年将超过63 亿美元。市场的成长潜力透过改善流量管理和增强用户体验。
The Global Electronic Toll Collection (ETC) Market, valued at USD 7.5 billion in 2023, is set to expand at an 11.9% CAGR from 2024 to 2032. This growth is fueled by strong governmental support, particularly in Europe, where authorities are actively promoting ETC systems. By facilitating electronic tolling, governments aim to improve traffic flow, reduce congestion, and lower environmental impacts. To encourage the adoption of ETC, they are providing subsidies, financial incentives, and policies that motivate both toll operators and drivers to transition to digital systems.
Additionally, the integration of advanced technologies is playing a critical role in propelling the ETC market. As transportation networks become more digitized and connected, ETC systems are incorporating modern tech solutions such as RFID, IoT, and AI. These enhancements enable seamless, contactless toll payments, increasing convenience for drivers while improving traffic management and lowering operational costs for toll operators. This alignment with digital transportation trends is accelerating the adoption of ETC, supporting substantial market growth.
The ETC market is segmented by technology, including RFID, DSRC, GPS/GNSS, and Video Analytics. In 2023, the RFID segment held over 29% of the market share and is projected to surpass USD 6.8 billion by 2032. RFID technology is widely preferred due to its ability to provide quick, contactless toll payments, meeting the rising demand for easy and touch-free payment solutions. Governments and toll authorities worldwide are pushing for enhanced road infrastructure and cashless payment methods, where RFID stands out as a reliable and adaptable option.
Market Scope | |
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Start Year | 2023 |
Forecast Year | 2024-2032 |
Start Value | $7.5 Billion |
Forecast Value | $20.6 Billion |
CAGR | 11.9% |
Furthermore, RFID-based ETC systems allow travelers to use a single RFID tag across different toll networks, enhancing convenience and simplifying toll processes. These systems offer efficient, cost-effective, and user-friendly toll collection solutions, making RFID a prominent choice in the ETC market.
The market is also segmented by subsystems, including Automatic Vehicle Classification (AVC), Violation Enforcement System (VES), and Automatic Vehicle Identification System (AVIS). In 2023, AVIS accounted for about 45% of the market share, driven by its efficiency in tolling, congestion reduction, and automation. AVIS utilizes technologies such as RFID and license plate recognition to automate vehicle identification, supporting the rising demand for hands-free and contactless tolling.
The U.S. market led in 2023 with over 69% of the ETC market share and is expected to exceed USD 6.3 billion by 2032. The region's commitment to smart city initiatives and infrastructure modernization, alongside the adoption of advanced tolling technologies, strengthens the market's growth potential by improving traffic management and enhancing user experiences.