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市场调查报告书
商品编码
1934155
智慧城市应用雷达感测器市场-全球产业规模、份额、趋势、机会及预测:技术、组件、类型、频率、应用、区域及竞争格局,2021-2031年Radar Sensors For Smart City Applications Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology, By Component, By Type, By Frequency, By Application, By Region & Competition, 2021-2031F |
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全球智慧城市雷达感测器市场预计将从 2025 年的 79.8 亿美元成长到 2031 年的 156.8 亿美元,复合年增长率为 11.92%。
这些雷达感测器是关键的电子设备,利用射频技术识别和追踪车辆、行人等物体,测量其速度和存在状态,并在各种天气和光照条件下保持高性能。市场成长的主要驱动力是全球快速的都市化,这迫切需要有效的交通管理解决方案来缓解交通拥堵和减少排放。此外,日益增长的公共问题也推动了对非侵入式监控系统的需求,这些系统能够在不侵犯个人隐私的情况下监控十字路口和行人区域,从而促进其广泛整合到现代都市基础设施中。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 79.8亿美元 |
| 市场规模:2031年 | 156.8亿美元 |
| 复合年增长率:2026-2031年 | 11.92% |
| 成长最快的细分市场 | 微机电系统 |
| 最大的市场 | 北美洲 |
儘管前景光明,都市区仍面临许多挑战,包括讯号干扰和频宽拥堵,无线设备的高密度分布可能会影响感测器的精度和可靠性。为了持续推进这些关键技术的发展,ERTICO-ITS Europe 在 2025 年发布报告称,自 2021 年以来,倡议已投入约 2.08 亿欧元用于 27 个协作、互联和自动化出行 (CCAM)计划。这笔巨额资金凸显了欧盟在智慧城市框架内嵌入基于感测器的智慧交通系统的战略性财政投入。
对智慧交通管理和交通流优化日益增长的需求是推动城市环境中雷达感测器应用的主要动力。市政当局正越来越多地采用基于雷达的解决方案,即使在恶劣天气条件下也能提供卓越的可靠性,从而动态调整信号灯配时并跟踪车道使用情况,取代传统的感应线圈。这项技术转型对于缓解交通拥堵和减少车辆怠速至关重要,并直接有助于降低都市区排放气体。为了彰显其对路口基础设施现代化的决心,英国运输部于2024年3月宣布,将从其交通号誌老化补助金中拨款3,000万英镑,用于资助地方政府升级号誌系统,使其具备先进的侦测功能,进而改善交通流量。
同时,政府加大对数位化城市计划的投入,显着加速了市场成长,缓解了大规模感测器网路建设的资金压力。联邦和地方政府正在倡议,这对于注重隐私的监控和未来自动驾驶安全至关重要。 2024年3月,美国运输部的「智慧出行与交通革命」(SMART)津贴计画向34个专注于采用先进智慧社区技术的计划提供了超过5,000万美元的津贴。这些资金支持为感测器部署创造了有利环境。特别是,美国运输部的《2024年互联互通蓝图》设定了到2028年实现全国20%高速公路系统V2X互联互通的目标,这需要广泛部署配备雷达的路侧基础设施才能实现。
频谱拥塞和讯号干扰是限制全球智慧城市雷达感测器市场成长的重大障碍。随着都市区无线技术的普及,雷达运作所需的射频频谱面临严重的拥挤。这种饱和状态往往会导致讯号劣化和误报,因为感测器无法区分实际的物理障碍物和电磁杂讯。在诸如路口监控和自动交通控制等安全关键场景中,这种可靠性的缺失是不可接受的,迫使市政当局出于责任风险和性能不稳定的考虑,推迟或缩减部署计划。
联网发射器的快速成长进一步加剧了这种运作不确定性,并直接减缓了市场普及速度。根据5G汽车协会预测,到2024年12月,全球连网汽车数量将超过3亿辆。如此庞大的发射设备数量显着提高了大都会圈的电磁噪音水平,使得对干扰敏感的雷达系统难以集成,并限制了其在复杂的智慧城市生态系统中的有效应用。
高解析度4D成像雷达的出现,凭藉其精细的目标侦测能力,正在改变市场格局。与传统雷达不同,4D成像雷达能够捕捉高程数据,从而在人口密集的城市环境中区分静止的基础设施和行人等移动目标。这种更高的解析度对于自动化路口管理至关重要,它可以透过精确分类来最大限度地减少误报。为了反映这一转变,Aabe Robotics于2025年7月宣布,其合作伙伴已开始向新的智慧道路基础设施计划交付搭载其晶片组的雷达(请参阅「Sensrad交付首批搭载Aabe晶片组的雷达」),这标誌着先进感知工具正走向大规模应用。
边缘人工智慧整合用于即时分析,透过将处理任务从云端转移到设备层,正在重塑感测器架构。透过将人工智慧直接嵌入雷达单元,智慧城市网路可以即时识别车辆类型,并以近乎零延迟和节省频宽即时响应不断变化的路况。这种分散式策略支援路口的自主决策。例如,2025年5月,Iteris宣布赢得一份价值170万美元的合同,用于升级路口的人工智慧增强型雷达感测器。该公告标题为「Iteris被伯勒森市选中实施先进交通管理系统计画」。
The Global Radar Sensors For Smart City Applications Market is projected to expand from USD 7.98 Billion in 2025 to USD 15.68 Billion by 2031, registering a CAGR of 11.92%. These radar sensors act as crucial electronic devices that employ radio frequency technology to identify, track, and gauge the speed and presence of entities such as vehicles and pedestrians, maintaining high performance across various weather and lighting scenarios. The market's growth is largely fueled by rapid global urbanization, which creates a pressing need for effective traffic management solutions to ease congestion and lower emissions. Additionally, a heightened focus on public safety has driven the demand for non-intrusive surveillance systems that can monitor intersections and pedestrian areas without infringing on individual privacy, thereby promoting their broad integration into modern metropolitan infrastructure.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 7.98 Billion |
| Market Size 2031 | USD 15.68 Billion |
| CAGR 2026-2031 | 11.92% |
| Fastest Growing Segment | MEMS |
| Largest Market | North America |
Despite this positive outlook, the market contends with significant obstacles related to signal interference and spectrum congestion, as the density of wireless devices in urban centers can compromise sensor precision and dependability. Demonstrating a sustained commitment to advancing these essential technologies, ERTICO - ITS Europe reported in 2025 that European Union initiatives have directed approximately €208 million toward 27 Cooperative, Connected and Automated Mobility (CCAM) projects since 2021. This substantial funding highlights the strategic financial dedication to embedding sensor-based intelligent transport systems within the smart city framework.
Market Driver
The rising demand for intelligent traffic management and flow optimization serves as a major catalyst for the implementation of radar sensors in urban settings. Municipalities are increasingly substituting inductive loops with radar-based solutions to dynamically regulate signal timing and track lane usage, as these sensors offer superior reliability even during adverse weather conditions. This technological transition is vital for alleviating congestion and decreasing vehicle idling, which directly assists in lowering urban emissions. Underscoring this dedication to modernizing intersection infrastructure, the UK Department for Transport announced in March 2024 that £30 million from the 'Traffic Signal Obsolescence Grant' was allocated to local authorities specifically to upgrade traffic signal systems with advanced detection capabilities to enhance traffic flow.
Simultaneously, the increase in government funding for digital urban infrastructure projects is significantly quickening market growth by alleviating financial constraints for extensive sensor networks. Federal and regional authorities are financing initiatives that utilize radar for privacy-compliant surveillance and vehicle-to-everything (V2X) communication, which are essential for the safety of future autonomous mobility. In March 2024, the U.S. Department of Transportation's 'Strengthening Mobility and Revolutionizing Transportation (SMART) Grants Program' awarded over $50 million to 34 projects centered on implementing advanced smart community technologies. This fiscal backing fosters a conducive environment for sensor adoption; notably, the U.S. Department of Transportation's 2024 connectivity roadmap established a goal to enable V2X connectivity on 20% of the National Highway System by 2028, a target that requires the widespread installation of radar-equipped roadside infrastructure.
Market Challenge
Spectrum congestion and signal interference constitute a significant hurdle to the growth of the Global Radar Sensors For Smart City Applications Market. As urban areas become increasingly saturated with wireless technologies, the radio frequency spectrum required for radar operations faces critical overcrowding. This saturation often results in signal deterioration and false positives, where sensors struggle to differentiate between actual physical obstacles and electromagnetic noise. In safety-critical scenarios such as intersection monitoring and automated traffic control, such reliability failures are intolerable, leading municipal governments to postpone or downscale deployment efforts due to liability risks and performance instability.
The swift proliferation of connected emitters further aggravates this operational volatility, directly slowing market adoption rates. According to the 5G Automotive Association, the global number of cellular-connected vehicles surpassed 300 million by December 2024. This immense volume of transmitting devices significantly raises the electromagnetic noise floor in metropolitan zones, complicating the integration of interference-sensitive radar systems and restricting their effective application within complex smart city ecosystems.
Market Trends
The emergence of High-Resolution 4D Imaging Radar is transforming the market by offering granular object detection capabilities. In contrast to traditional radar, 4D imaging captures elevation data, enabling the distinction between stationary infrastructure and moving targets like pedestrians in dense urban environments. This improved resolution is essential for automated intersection management, where precise classification minimizes false alarms. Reflecting this shift, Arbe Robotics announced in July 2025 that its partner had commenced delivery of radars powered by Arbe's chipset for a new intelligent road infrastructure project, as highlighted in the 'Sensrad Delivers First Radar Series Powered by Arbe's Chipset' announcement, indicating a move toward mass adoption of these advanced perception tools.
The integration of Edge AI for Real-Time Analytics is reshaping sensor architecture by moving processing tasks from the cloud to the device level. By embedding artificial intelligence directly into the radar unit, smart city networks can instantly classify vehicle types with negligible latency, ensuring immediate reactions to changing road conditions while conserving bandwidth. This decentralized strategy supports autonomous decision-making at intersections. Demonstrating this momentum, Iteris announced in May 2025 via the 'Iteris Chosen to Implement the City of Burleson's Advanced Traffic Management System Plan' release that it had secured a $1.7 million contract to upgrade intersections with AI-enhanced radar sensors.
Report Scope
In this report, the Global Radar Sensors For Smart City Applications Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Radar Sensors For Smart City Applications Market.
Global Radar Sensors For Smart City Applications Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: