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市場調查報告書
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1904647

智慧交通感測解決方案市場預測至2032年：全球分析（按感測器類型、部署模式、車輛類型、資料輸出類型、技術、應用、最終用戶和地區分類）

Intelligent Traffic Sensing Solutions Market Forecasts to 2032 - Global Analysis By Sensor Type, Deployment, Vehicle Type, Data Output Type, Technology, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，全球智慧交通感知解決方案市場預計到 2025 年將達到 111 億美元，到 2032 年將達到 183 億美元，預測期內複合年成長率為 7.4%。

智慧交通感知解決方案利用先進的感測器、攝影機和數據分析技術，即時監測、分析和管理車輛流量。這些系統能夠偵測擁塞、事故、超速和環境狀況，從而最佳化交通號誌、法規執法和提供導航引導。與智慧城市基礎設施整合後，它們有助於提高道路安全、減少排放氣體並改善通勤體驗。雷達、LiDAR、電腦視覺和物聯網平台等技術實現了自適應交通控制和預測性出行規劃。

都市區擁擠和智慧運輸舉措

日益嚴重的都市區擁擠和智慧運輸計畫的推進，推動了對智慧交通感知解決方案的需求。世界各地的城市都面臨著日益成長的交通流量、污染和安全問題所帶來的挑戰。各國政府和市政當局正在投資建設智慧基礎設施，以最佳化交通流量、減少交通事故並改善通勤體驗。攝影機、雷達和LiDAR等智慧感知技術能夠實現即時監控和自適應交通管理。這些努力，結合智慧城市計劃，進一步凸顯了交通感知作為永續城市交通關鍵基礎的重要性。

安裝和維修成本高昂

高昂的部署和維修成本是智慧交通感知解決方案推廣的一大障礙，因為安裝先進的感測器、攝影機和通訊網路需要大量的資金投入，尤其是在大型都會區。持續的維護、校準和軟體更新也會增加營運成本。預算限制往往會減緩技術的普及，尤其是在發展中地區。雖然長期效益包括提高安全性和效率，但前期投入成本限制了其規模化應用。這一成本障礙阻礙了技術的廣泛應用，因此需要創新的資金籌措模式和公私合營來解決這些問題。

利用人工智慧進行即時交通分析

人工智慧驅動的即時交通分析為智慧交通感知解決方案帶來了巨大的發展機會。透過機器學習和預測演算法，系統能夠分析交通模式、偵測異常情況並動態最佳化號誌燈配時。這有助於提昇道路安全、緩解交通堵塞並提高燃油效率。與物聯網平台和雲端儀錶板的整合，能夠實現主動式交通管理和智慧運輸規劃。隨著城市數位轉型，人工智慧驅動的分析正在釋放新的價值，使智慧感知解決方案成為現代交通生態系統中不可或缺的工具。

公共基礎設施預算限制

公共基礎設施計劃的預算限制對市場成長構成威脅。市政當局往往缺乏資金用於先進的交通系統，迫使他們優先保障基本服務而非技術升級。景氣衰退、其他基礎設施需求以及政治動盪加劇了資金籌措挑戰，限制了大規模部署並延緩了現代化進程。如果沒有足夠的投資，智慧交通感知解決方案的普及程度將持續不平衡，尤其是在缺乏強力政策支持的地區。供應商必須提供經濟高效的解決方案和靈活的資金籌措來應對這一威脅。

新冠疫情的影響

新冠疫情對交通感測市場產生了複雜影響。封鎖措施導致交通流量減少，暫時降低了對監控系統的需求。然而，疫情也加速了數位化進程，各大城市優先採用非接觸式自動化解決方案，以保障交通安全。疫情後的復甦凸顯了基礎設施韌性的重要性，推動了對智慧交通技術的投資。對物流、公共交通和緊急服務的日益依賴，再次印證了智慧感測在疫情期間及之後保障城市交通安全高效運作方面的重要作用。

預計在預測期內，攝影機細分市場將佔據最大的市場佔有率。

由於其多功能性和廣泛應用，視訊攝影機預計將在預測期內佔據最大的市場佔有率。它提供即時視訊監控，並支援交通流量分析、事件偵測和執法輔助。與人工智慧的整合增強了臉部辨識、車牌辨識和預測分析等功能。其成本效益和在包括十字路口、高速公路和城市中心在內的各種環境中的適應性，正在推動其應用。隨著城市不斷推進智慧運輸計劃，視訊攝影機仍將是最值得信賴的感測技術，預計在預測期內將保持最大的市場佔有率。

預計在預測期內，固定感測器細分市場將實現最高的複合年成長率。

預計在預測期內，固定感測器市場將實現最高成長率，這主要得益於其可靠性和持續監測能力。這些感測器安裝在十字路口、高速公路和城市走廊等位置，能夠持續提供交通流量、速度和擁塞情況等數據。感測器技術的進步提高了其精度和耐用性，使其成為自適應交通控制系統不可或缺的一部分。與智慧城市平台的整合進一步增強了其可擴展性。隨著各國政府加大對基礎設施現代化建設的投入，固定感測器在實現即時分析方面發揮的作用，使得該市場成為成長最快的市場之一。

比最大的地區

由於快速的都市化、不斷擴展的智慧城市計劃以及政府對智慧型運輸系統的投資，預計亞太地區將在預測期內佔據最大的市場佔有率。中國、日本和印度等國家正在部署大規模交通感知網路，以應對交通堵塞和安全挑戰。車輛保有量的成長和基礎設施的現代化進一步推動了智慧交通感知解決方案的普及。該地區在數位轉型和具成本效益部署方面的主導地位鞏固了其優勢，使其成為智慧交通感知解決方案市場最大的貢獻者。

複合年均成長率最高的地區

在預測期內，北美地區預計將呈現最高的複合年成長率，這得益於其健全的法規結構、先進的基礎設施以及對智慧運輸技術的早期應用。美國和加拿大正在大力投資人工智慧驅動的交通分析、聯網汽車生態系統和智慧城市計畫。對安全性、效率和永續性的日益成長的需求正在推動這些技術的普及應用。公私合營以及感測器技術的創新也為成長注入了動力。北美對數位基礎設施和即時交通管理的重視使其成為該市場成長最快的地區。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球智慧交通感測解決方案市場（按感測器類型分類）

  • 雷達感測器
  • LiDAR感測器
  • 攝影機
  • 感應線圈感測器

6. 全球智慧交通感知解決方案市場按部署類型分類

  • 固定感測器
  • 移動感測器

7. 全球智慧交通感知解決方案市場（按車輛類型分類）

  • 搭乘用車
  • 商用車輛
  • 公共運輸工具
  • 緊急車輛

8. 全球智慧交通感知解決方案市場（以資料輸出類型分類）

  • 即時交通數據
  • 預測性流量洞察
  • 以往交通流量分析
  • 基於事件的警報

9. 全球智慧交通感知解決方案市場（按技術分類）

  • 基於人工智慧的分析
  • 物聯網系統

第10章 全球智慧交通感知解決方案市場（按應用分類）

  • 交通監控
  • 事件偵測
  • 自適應訊號控制
  • 其他

第11章 全球智慧交通感知解決方案市場（以最終用戶分類）

  • 市政當局
  • 運輸
  • 高速公路和收費公路營運公司
  • 智慧城市管理機構

第12章：全球智慧交通感知解決方案市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第13章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第14章 企業概況

  • FLIR Systems, Inc.
  • Teledyne Technologies Incorporated
  • Bosch Security Systems
  • Siemens Mobility GmbH
  • Iteris, Inc.
  • Cubic Corporation
  • Kapsch TrafficCom AG
  • Q-Free ASA
  • Axis Communications AB
  • Sensys Gatso Group AB
  • Huawei Technologies Co., Ltd.
  • Hitachi, Ltd.
  • NEC Corporation
  • Jenoptik AG
  • RadarVision
  • Indra Sistemas, SA
Product Code: SMRC33086

According to Stratistics MRC, the Global Intelligent Traffic Sensing Solutions Market is accounted for $11.1 billion in 2025 and is expected to reach $18.3 billion by 2032 growing at a CAGR of 7.4% during the forecast period. Intelligent Traffic Sensing Solutions use advanced sensors, cameras, and data analytics to monitor, analyze, and manage vehicular flow in real time. These systems detect congestion, accidents, speed violations, and environmental conditions to optimize traffic signals, enforce laws, and guide navigation. Integrated with smart city infrastructure, they enhance road safety, reduce emissions, and improve commuter experience. Technologies include radar, LiDAR, computer vision, and IoT platforms, enabling adaptive traffic control and predictive mobility planning.

Market Dynamics:

Driver:

Urban congestion and smart mobility initiatives

Rising urban congestion and the push for smart mobility initiatives are driving demand for intelligent traffic sensing solutions. Cities worldwide face increasing traffic density, pollution, and safety challenges. Governments and municipalities are investing in smart infrastructure to optimize traffic flow, reduce accidents, and improve commuter experiences. Intelligent sensing technologies, including cameras, radar, and LiDAR, enable real-time monitoring and adaptive traffic management. These initiatives align with smart city programs, reinforcing traffic sensing as a critical enabler of sustainable urban mobility.

Restraint:

High deployment and maintenance costs

High deployment and maintenance costs remain a significant restraint for intelligent traffic sensing solutions. Installing advanced sensors, cameras, and communication networks requires substantial capital investment, particularly across large urban areas. Ongoing maintenance, calibration, and software updates add to operational expenses. Budget limitations often delay adoption, especially in developing regions. While long-term benefits include improved safety and efficiency, the upfront financial burden restricts scalability. This cost barrier slows widespread implementation, requiring innovative financing models and public-private partnerships to overcome.

Opportunity:

AI-enabled real-time traffic analytics

AI-enabled real-time traffic analytics present a major opportunity for intelligent traffic sensing solutions. By leveraging machine learning and predictive algorithms, systems can analyze traffic patterns, detect anomalies, and optimize signal timing dynamically. This enhances road safety, reduces congestion, and improves fuel efficiency. Integration with IoT platforms and cloud dashboards enables proactive traffic management and smart mobility planning. As cities embrace digital transformation, AI-driven analytics unlock new value streams, positioning intelligent sensing solutions as essential tools for modern transportation ecosystems.

Threat:

Budget constraints in public infrastructure

Budget constraints in public infrastructure projects pose a threat to market growth. Municipalities often face limited funding for advanced traffic systems, prioritizing essential services over technology upgrades. Economic downturns, competing infrastructure needs, and political variability exacerbate funding challenges. This restricts large-scale deployments and slows modernization efforts. Without adequate investment, adoption of intelligent traffic sensing solutions remains uneven, particularly in regions lacking strong policy support. Vendors must adapt with cost-effective solutions and flexible financing to mitigate this threat.

Covid-19 Impact:

The COVID-19 pandemic had mixed effects on the traffic sensing market. Lockdowns reduced traffic volumes, temporarily lowering demand for monitoring systems. However, the crisis accelerated digital adoption, with cities prioritizing contactless, automated solutions to manage mobility safely. Post-pandemic recovery highlighted the importance of resilient infrastructure, driving investments in smart traffic technologies. Increased reliance on logistics, public transport, and emergency services reinforced the role of intelligent sensing in ensuring safe, efficient urban mobility during and after the pandemic.

The video cameras segment is expected to be the largest during the forecast period

The video cameras segment is expected to account for the largest market share during the forecast period, owing to their versatility and widespread deployment. They provide real-time visual monitoring, enabling traffic flow analysis, incident detection, and law enforcement support. Integration with AI enhances capabilities such as facial recognition, license plate detection, and predictive analytics. Their cost-effectiveness and adaptability across intersections, highways, and urban centers reinforce adoption. As cities expand smart mobility initiatives, video cameras remain the most relied-upon sensing technology, securing the largest market share during the forecast period.

The fixed sensors segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the fixed sensors segment is predicted to witness the highest growth rate, driven by their reliability and continuous monitoring capabilities. Installed at intersections, highways, and urban corridors, they provide consistent data on traffic volume, speed, and congestion. Advances in sensor technology improve accuracy and durability, making them vital for adaptive traffic control systems. Integration with smart city platforms enhances scalability. As governments invest in long-term infrastructure modernization, fixed sensors' role in enabling real-time analytics positions them as the fastest-growing segment.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid urbanization, expanding smart city projects, and government investments in intelligent transportation systems. Countries like China, Japan, and India are deploying large-scale traffic sensing networks to address congestion and safety challenges. Rising vehicle ownership and infrastructure modernization further drive adoption. The region's leadership in digital transformation and cost-effective deployment secures its dominance, making Asia Pacific the largest contributor to the intelligent traffic sensing solutions market.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR supported by strong regulatory frameworks, advanced infrastructure, and early adoption of smart mobility technologies. The U.S. and Canada are investing heavily in AI-driven traffic analytics, connected vehicle ecosystems, and smart city initiatives. Growing demand for safety, efficiency, and sustainability reinforces adoption. Public-private partnerships and innovation in sensor technologies accelerate growth. North America's emphasis on digital infrastructure and real-time traffic management positions it as the fastest-growing region in this market.

Key players in the market

Some of the key players in Intelligent Traffic Sensing Solutions Market include FLIR Systems, Inc., Teledyne Technologies Incorporated, Bosch Security Systems, Siemens Mobility GmbH, Iteris, Inc., Cubic Corporation, Kapsch TrafficCom AG, Q-Free ASA, Axis Communications AB, Sensys Gatso Group AB, Huawei Technologies Co., Ltd., Hitachi, Ltd., NEC Corporation, Jenoptik AG, RadarVision, and Indra Sistemas, S.A.

Key Developments:

In November 2025, FLIR Systems, Inc. launched AI enabled thermal traffic cameras for smart intersections, improving vehicle and pedestrian detection accuracy under low light and adverse weather conditions.

In August 2025, Siemens Mobility GmbH announced deployment of intelligent traffic sensors across European smart city projects, supporting adaptive traffic light systems and reducing urban congestion.

In May 2025, Kapsch TrafficCom AG introduced AI driven traffic enforcement cameras, enhancing violation detection and supporting dynamic road pricing initiatives in metropolitan areas.

Sensor Types Covered:

  • Radar Sensors
  • LiDAR Sensors
  • Video Cameras
  • Inductive Loop Sensors

Deployments Covered:

  • Fixed Sensors
  • Mobile Sensors

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles
  • Public Transit Vehicles
  • Emergency Vehicles

Data Output Types Covered:

  • Real-Time Traffic Data
  • Predictive Traffic Insights
  • Historical Traffic Analytics
  • Event-Based Alerts

Technologies Covered:

  • AI-Based Analytics
  • IoT-Enabled Systems

Applications Covered:

  • Traffic Monitoring
  • Incident Detection
  • Adaptive Signal Control
  • Other Applications

End Users Covered:

  • Municipal Authorities
  • Transportation Agencies
  • Highway & Toll Road Operators
  • Smart City Authorities

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Intelligent Traffic Sensing Solutions Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 Radar Sensors
  • 5.3 LiDAR Sensors
  • 5.4 Video Cameras
  • 5.5 Inductive Loop Sensors

6 Global Intelligent Traffic Sensing Solutions Market, By Deployment

  • 6.1 Introduction
  • 6.2 Fixed Sensors
  • 6.3 Mobile Sensors

7 Global Intelligent Traffic Sensing Solutions Market, By Vehicle Type

  • 7.1 Introduction
  • 7.2 Passenger Vehicles
  • 7.3 Commercial Vehicles
  • 7.4 Public Transit Vehicles
  • 7.5 Emergency Vehicles

8 Global Intelligent Traffic Sensing Solutions Market, By Data Output Type

  • 8.1 Introduction
  • 8.2 Real-Time Traffic Data
  • 8.3 Predictive Traffic Insights
  • 8.4 Historical Traffic Analytics
  • 8.5 Event-Based Alerts

9 Global Intelligent Traffic Sensing Solutions Market, By Technology

  • 9.1 Introduction
  • 9.2 AI-Based Analytics
  • 9.3 IoT-Enabled Systems

10 Global Intelligent Traffic Sensing Solutions Market, By Application

  • 10.1 Introduction
  • 10.2 Traffic Monitoring
  • 10.3 Incident Detection
  • 10.4 Adaptive Signal Control
  • 10.5 Other Applications

11 Global Intelligent Traffic Sensing Solutions Market, By End User

  • 11.1 Introduction
  • 11.2 Municipal Authorities
  • 11.3 Transportation Agencies
  • 11.4 Highway & Toll Road Operators
  • 11.5 Smart City Authorities

12 Global Intelligent Traffic Sensing Solutions Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 FLIR Systems, Inc.
  • 14.2 Teledyne Technologies Incorporated
  • 14.3 Bosch Security Systems
  • 14.4 Siemens Mobility GmbH
  • 14.5 Iteris, Inc.
  • 14.6 Cubic Corporation
  • 14.7 Kapsch TrafficCom AG
  • 14.8 Q-Free ASA
  • 14.9 Axis Communications AB
  • 14.10 Sensys Gatso Group AB
  • 14.11 Huawei Technologies Co., Ltd.
  • 14.12 Hitachi, Ltd.
  • 14.13 NEC Corporation
  • 14.14 Jenoptik AG
  • 14.15 RadarVision
  • 14.16 Indra Sistemas, S.A.

List of Tables

  • Table 1 Global Intelligent Traffic Sensing Solutions Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Intelligent Traffic Sensing Solutions Market Outlook, By Sensor Type (2024-2032) ($MN)
  • Table 3 Global Intelligent Traffic Sensing Solutions Market Outlook, By Radar Sensors (2024-2032) ($MN)
  • Table 4 Global Intelligent Traffic Sensing Solutions Market Outlook, By LiDAR Sensors (2024-2032) ($MN)
  • Table 5 Global Intelligent Traffic Sensing Solutions Market Outlook, By Video Cameras (2024-2032) ($MN)
  • Table 6 Global Intelligent Traffic Sensing Solutions Market Outlook, By Inductive Loop Sensors (2024-2032) ($MN)
  • Table 7 Global Intelligent Traffic Sensing Solutions Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 8 Global Intelligent Traffic Sensing Solutions Market Outlook, By Fixed Sensors (2024-2032) ($MN)
  • Table 9 Global Intelligent Traffic Sensing Solutions Market Outlook, By Mobile Sensors (2024-2032) ($MN)
  • Table 10 Global Intelligent Traffic Sensing Solutions Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 11 Global Intelligent Traffic Sensing Solutions Market Outlook, By Passenger Vehicles (2024-2032) ($MN)
  • Table 12 Global Intelligent Traffic Sensing Solutions Market Outlook, By Commercial Vehicles (2024-2032) ($MN)
  • Table 13 Global Intelligent Traffic Sensing Solutions Market Outlook, By Public Transit Vehicles (2024-2032) ($MN)
  • Table 14 Global Intelligent Traffic Sensing Solutions Market Outlook, By Emergency Vehicles (2024-2032) ($MN)
  • Table 15 Global Intelligent Traffic Sensing Solutions Market Outlook, By Data Output Type (2024-2032) ($MN)
  • Table 16 Global Intelligent Traffic Sensing Solutions Market Outlook, By Real-Time Traffic Data (2024-2032) ($MN)
  • Table 17 Global Intelligent Traffic Sensing Solutions Market Outlook, By Predictive Traffic Insights (2024-2032) ($MN)
  • Table 18 Global Intelligent Traffic Sensing Solutions Market Outlook, By Historical Traffic Analytics (2024-2032) ($MN)
  • Table 19 Global Intelligent Traffic Sensing Solutions Market Outlook, By Event-Based Alerts (2024-2032) ($MN)
  • Table 20 Global Intelligent Traffic Sensing Solutions Market Outlook, By Technology (2024-2032) ($MN)
  • Table 21 Global Intelligent Traffic Sensing Solutions Market Outlook, By AI-Based Analytics (2024-2032) ($MN)
  • Table 22 Global Intelligent Traffic Sensing Solutions Market Outlook, By IoT-Enabled Systems (2024-2032) ($MN)
  • Table 23 Global Intelligent Traffic Sensing Solutions Market Outlook, By Application (2024-2032) ($MN)
  • Table 24 Global Intelligent Traffic Sensing Solutions Market Outlook, By Traffic Monitoring (2024-2032) ($MN)
  • Table 25 Global Intelligent Traffic Sensing Solutions Market Outlook, By Incident Detection (2024-2032) ($MN)
  • Table 26 Global Intelligent Traffic Sensing Solutions Market Outlook, By Adaptive Signal Control (2024-2032) ($MN)
  • Table 27 Global Intelligent Traffic Sensing Solutions Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 28 Global Intelligent Traffic Sensing Solutions Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Intelligent Traffic Sensing Solutions Market Outlook, By Municipal Authorities (2024-2032) ($MN)
  • Table 30 Global Intelligent Traffic Sensing Solutions Market Outlook, By Transportation Agencies (2024-2032) ($MN)
  • Table 31 Global Intelligent Traffic Sensing Solutions Market Outlook, By Highway & Toll Road Operators (2024-2032) ($MN)
  • Table 32 Global Intelligent Traffic Sensing Solutions Market Outlook, By Smart City Authorities (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.