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市場調查報告書
商品編碼
1833555
2032 年路邊感測器基礎設施市場預測:按組件、感測器類型、部署模式、應用和地區進行的全球分析Roadside Sensor Infrastructure Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Sensor Type, Deployment Mode, Application and By Geography |
根據 Stratistics MRC 的數據,全球路邊感測器基礎設施市場預計在 2025 年達到 46 億美元,到 2032 年將達到 102 億美元,預測期內的複合年成長率為 11.8%。
路邊感測器基礎設施是指安裝在道路、高速公路和都市區街道沿線的互聯設備和技術網路,用於監測、收集和傳輸即時交通和環境數據。這些感測器包括攝影機、LiDAR、雷達、感應線圈和超音波設備,可以偵測車速、交通密度、道路狀況和行人移動。這些感測器與通訊系統整合,支援智慧型運輸系統(ITS)、交通管理、自動駕駛汽車操作和安全應用。這些基礎設施可以提高交通效率、減少擁塞、改善道路安全,並促進數據驅動的城市交通規劃。
感測器技術的進步
感測器正被部署用於採集交通流量、車輛分類、環境狀況和基礎設施健康狀況的即時數據。與邊緣運算、人工智慧分析和V2X通訊的整合正在增強響應能力和決策能力。公共和私營部門對智慧運輸和城市安全的投資正在推動其應用。需求涵蓋高速公路、城市走廊、收費公路系統和自動駕駛汽車區域。這些動態使感測器創新成為路邊感測器基礎設施市場的關鍵驅動力,並推動整體市場成長。
初期實施成本高
LiDAR陣列、熱感成像和多感測器融合等先進系統需要大量投資和技術專長。法規遵循和維護通訊協定進一步增加了營運成本。資金籌措核准和採購週期的延遲正在拖慢專案推出的進度。相關人員必須在長期利益和短期財務約束之間取得平衡。儘管對智慧基礎設施的需求不斷成長,但這些因素仍在限制市場擴張。
都市化與交通堵塞
路邊感測器正被用於最佳化交通流量、消除瓶頸並支援多式聯運規劃。與智慧城市平台、自動駕駛試點和排放追蹤的整合正在擴大其應用範圍。應對交通堵塞、提高安全性和增強基礎設施韌性的公共措施正在推動其應用。對擴充性、響應迅速且數據驅動的交通管理的需求正在激發創新。這些發展為市場發展創造了有利條件,並加速了路邊感測器技術的部署。
環境和天氣相關的限制
製造商面臨著設計堅固耐用、耐候性強的系統,使其能夠在各種條件下保持功能性這項挑戰。校準漂移、訊號干擾和物理損壞會增加維護的複雜度。公眾信任和業務連續性取決於在不同地區保持一致的表現。標準化和耐久性測試的延遲會延緩惡劣環境下的部署。這些限制帶來了技術風險,並限制了全面的市場發展。
新冠疫情擾亂了路邊感測器基礎設施市場,導致基礎設施計劃出現臨時延誤、交通量減少以及預算重新分配。供應鏈中斷和勞動力短缺影響了感測器的生產、安裝和維修。然而,對非接觸式監控、數位基礎設施和彈性城市系統的日益關注,部分抵消了市場放緩的影響。疫情後的復甦是由擴充性、智慧且增強安全性的路邊技術日益成長的需求所推動的。遠距離診斷、自動校準和雲端基礎的分析領域的創新正在加速應用。這些轉變正在重塑全球市場的路邊感測器格局。
影像感測器市場預計將成為預測期內最大的市場
影像感測器領域預計將在預測期內佔據最大的市場佔有率,這得益於其多功能性、高解析度以及與整體交通執法、監控和車輛偵測系統的整合度。這些感測器被部署在智慧交叉路口、收費站和自動駕駛走廊,以捕捉高保真視覺數據。製造商正在最佳化感測器設計,以提高其低照度性能、耐候性和即時分析能力。城市安全、執法和基礎設施監控應用的需求仍然強勁。監管部門對自動交通控制和數據透明度的支持正在推動其應用。
預計環境監測部門在預測期內將實現最高複合年成長率
受空氣品質追蹤、噪音污染評估和氣候適應能力需求的推動,環境監測領域預計將在預測期內實現最高成長率。感測器正被整合到路邊基礎設施中,以即時測量顆粒物、二氧化碳濃度、溫度和濕度。公共和私營部門在永續旅行、排放和城市健康方面的措施正在加速應用。與智慧城市儀錶板、監管報告工具和預測分析的整合正在提升其效用。對數據主導的環境管治和公共透明度的需求正在推動這一發展勢頭。
在預測期內,北美預計將佔據最大的市場佔有率,這得益於其先進的交通基礎設施、強力的法規結構以及對智慧運輸的大量投資。美國和加拿大在高速公路、城市走廊和自動駕駛汽車區域部署感測器方面處於領先地位。道路安全、排放監測和基礎設施現代化的公共舉措正在推動需求。區域製造商和跨國公司正在透過官民合作關係和聯邦資助計畫擴大部署。監管的明確性和企業的準備度正在支持其應用。
在預測期內,由於快速的都市化、智慧城市計劃的擴張以及政府對智慧交通系統的投資,預計亞太地區將實現最高的複合年成長率。中國、印度、日本和韓國等國家正在擴大交通管理、環境監測和自動駕駛汽車試點中的感測器部署。官民合作關係和行動優先策略正在改善都市區和半都市區的可及性。對經濟高效、擴充性且合規的解決方案的需求正在推動創新。區域製造商和全球參與者正在合作本地化並擴展其產品。
According to Stratistics MRC, the Global Roadside Sensor Infrastructure Market is accounted for $4.6 billion in 2025 and is expected to reach $10.2 billion by 2032 growing at a CAGR of 11.8% during the forecast period. Roadside Sensor Infrastructure refers to a network of interconnected devices and technologies installed along roads, highways, and urban streets to monitor, collect, and transmit real-time traffic and environmental data. These sensors include cameras, LiDAR, radar, inductive loops, and ultrasonic devices, enabling detection of vehicle speed, traffic density, road conditions, and pedestrian movements. Integrated with communication systems, they support intelligent transportation systems (ITS), traffic management, autonomous vehicle operations, and safety applications. This infrastructure enhances traffic efficiency, reduces congestion, improves road safety, and facilitates data-driven urban mobility planning.
Advancements in sensor technologies
Sensors are being deployed to capture real-time data on traffic flow, vehicle classification, environmental conditions, and infrastructure health. Integration with edge computing, AI analytics, and V2X communication is enhancing responsiveness and decision-making. Public and private investments in smart mobility and urban safety are reinforcing adoption. Demand spans across highways, urban corridors, toll systems, and autonomous vehicle zones. These dynamics are positioning sensor innovation as a key driver of the roadside sensor infrastructure market, thereby boosting overall market growth.
High initial deployment costs
Advanced systems such as LiDAR arrays, thermal imaging, and multi-sensor fusion demand significant investment and technical expertise. Regulatory compliance and maintenance protocols further increase operational overhead. Delays in funding approvals and procurement cycles are slowing rollout timelines. Stakeholders must balance long-term benefits with short-term financial constraints. These factors are constraining market expansion despite rising demand for intelligent infrastructure.
Urbanization and traffic congestion
Roadside sensors are being used to optimize flow, reduce bottlenecks, and support multimodal transport planning. Integration with smart city platforms, autonomous mobility pilots, and emissions tracking is expanding application scope. Public initiatives in congestion pricing, safety enhancement, and infrastructure resilience are reinforcing adoption. Demand for scalable, responsive, and data-driven traffic management is accelerating innovation. These developments are creating favorable conditions for market growth, thereby advancing deployment of roadside sensor technologies.
Environmental and weather-related limitations
Manufacturers face challenges in designing robust, weather-resistant systems that maintain functionality under variable conditions. Calibration drift, signal interference, and physical damage are increasing maintenance complexity. Public trust and operational continuity depend on consistent performance across diverse geographies. Delays in standardization and durability testing are slowing deployment in harsh environments. These limitations are introducing technical risk and constraining full-scale market development.
The Covid-19 pandemic disrupted the Roadside Sensor Infrastructure market, causing temporary delays in infrastructure projects, reduced traffic volumes, and budget reallocations. Supply chain interruptions and labour shortages affected sensor production, installation, and servicing. However, the increased focus on contactless monitoring, digital infrastructure, and resilient urban systems partially offset the slowdown. Post-pandemic recovery is driven by growing demand for scalable, intelligent, and safety-enhancing roadside technologies. Innovations in remote diagnostics, automated calibration, and cloud-based analytics are accelerating adoption. These shifts are reshaping the roadside sensor landscape across global markets.
The image sensors segment is expected to be the largest during the forecast period
The image sensors segment is expected to account for the largest market share during the forecast period owing to its versatility, resolution capabilities, and integration across traffic enforcement, surveillance, and vehicle detection systems. These sensors are being deployed in smart intersections, toll booths, and autonomous corridors to capture high-fidelity visual data. Manufacturers are optimizing sensor design for low-light performance, weather resistance, and real-time analytics. Demand remains strong across urban safety, law enforcement, and infrastructure monitoring applications. Regulatory support for automated traffic control and data transparency is reinforcing adoption.
The environmental monitoring segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the environmental monitoring segment is predicted to witness the highest growth rate driven by demand for air quality tracking, noise pollution assessment, and climate resilience. Sensors are being integrated into roadside infrastructure to measure particulate matter, CO2 levels, temperature, and humidity in real time. Public and private initiatives in sustainable mobility, emissions reduction, and urban health are accelerating deployment. Integration with smart city dashboards, regulatory reporting tools, and predictive analytics is enhancing utility. Demand for data-driven environmental governance and public transparency is reinforcing momentum.
During the forecast period, the North America region is expected to hold the largest market share due to its advanced transport infrastructure, strong regulatory framework, and high investment in smart mobility. The U.S. and Canada are leading in sensor deployment across highways, urban corridors, and autonomous vehicle zones. Public initiatives in traffic safety, emissions monitoring, and infrastructure modernization are reinforcing demand. Regional manufacturers and global players are scaling deployment through public-private partnerships and federal funding programs. Regulatory clarity and enterprise readiness are supporting widespread adoption.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid urbanization, expanding smart city projects, and government investment in intelligent transport systems. Countries like China, India, Japan, and South Korea are scaling sensor deployment across traffic management, environmental monitoring, and autonomous mobility pilots. Public-private partnerships and mobile-first strategies are improving access in urban and semi-urban areas. Demand for cost-effective, scalable, and compliance-ready solutions is reinforcing innovation. Regional manufacturers and global players are collaborating to localize and scale offerings.
Key players in the market
Some of the key players in Roadside Sensor Infrastructure Market include Siemens AG, Schneider Electric SE, Bosch Mobility Solutions, FLIR Systems, Inc., Kapsch TrafficCom AG, Iteris, Inc., SWARCO AG, Q-Free ASA, Sensys Gatso Group AB, Indra Sistemas S.A., Cubic Corporation, TomTom N.V., Huawei Technologies Co., Ltd., Econolite Group, Inc. and Teledyne Technologies Incorporated.
In August 2025, Schneider Electric collaborated with Nozomi Networks to launch the industry's first embedded OT security sensor for smart Remote Terminal Units (RTUs). This integration enhances cybersecurity for field-to-central control system data sharing, providing comprehensive protection for critical infrastructure.
In November 2024, Siemens partnered with Roadscor to support the Vision Zero initiative through advanced traffic engineering. Utilizing Siemens' Simcenter Prescan and HEEDS software, the collaboration focuses on proactive safety analysis to design safer road infrastructures.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.