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市场调查报告书
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1904647

智慧交通感测解决方案市场预测至2032年：全球分析（按感测器类型、部署模式、车辆类型、资料输出类型、技术、应用、最终用户和地区划分）

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个工作天内

价格

根据 Stratistics MRC 的研究，全球智慧交通感知解决方案市场预计到 2025 年将达到 111 亿美元，到 2032 年将达到 183 亿美元，预测期内复合年增长率为 7.4%。

智慧交通感知解决方案利用先进的感测器、摄影机和数据分析技术，即时监测、分析和管理车辆流量。这些系统能够侦测拥塞、事故、超速和环境状况，从而优化交通号誌、法规执法和提供导航引导。与智慧城市基础设施整合后，它们有助于提高道路安全、减少排放气体并改善通勤体验。雷达、光达、电脑视觉和物联网平台等技术实现了自适应交通控制和预测性出行规划。

都市区拥挤和智慧运输倡议

日益严重的都市区拥挤和智慧运输计画的推进，推动了对智慧交通感知解决方案的需求。世界各地的城市都面临着日益增长的交通流量、污染和安全问题所带来的挑战。各国政府和市政当局正在投资建设智慧基础设施，以优化交通流量、减少交通事故并改善通勤体验。摄影机、雷达和光达等智慧感知技术能够实现即时监控和自适应交通管理。这些努力，结合智慧城市计划，进一步凸显了交通感知作为永续城市交通关键基础的重要性。

安装和维修成本高昂

高昂的部署和维修成本是智慧交通感知解决方案推广的一大障碍，因为安装先进的感测器、摄影机和通讯网路需要大量的资金投入，尤其是在大型都会区。持续的维护、校准和软体更新也会增加营运成本。预算限制往往会减缓技术的普及，尤其是在发展中地区。虽然长期效益包括提高安全性和效率，但前期投入成本限制了其规模化应用。这一成本障碍阻碍了技术的广泛应用，因此需要创新的资金筹措模式和公私合营来解决这些问题。

利用人工智慧进行即时交通分析

人工智慧驱动的即时交通分析为智慧交通感知解决方案带来了巨大的发展机会。透过机器学习和预测演算法，系统能够分析交通模式、侦测异常情况并动态优化号誌灯配时。这有助于提昇道路安全、缓解交通拥堵并提高燃油效率。与物联网平台和云端仪錶板的集成，能够实现主动式交通管理和智慧运输规划。随着城市数位转型，人工智慧驱动的分析正在释放新的价值，使智慧感知解决方案成为现代交通生态系统中不可或缺的工具。

公共基础设施预算限制

公共基础设施计划的预算限制对市场成长构成威胁。市政当局往往缺乏资金用于先进的交通系统，迫使他们优先保障基本服务而非技术升级。景气衰退、其他基础设施需求以及政治动盪加剧了资金筹措挑战，限制了大规模部署并延缓了现代化进程。如果没有足够的投资，智慧交通感知解决方案的普及程度将持续不平衡，尤其是在缺乏强有力政策支持的地区。供应商必须提供经济高效的解决方案和灵活的资金筹措来应对这一威胁。

新冠疫情的影响

新冠疫情对交通感测市场产生了复杂影响。封锁措施导致交通流量减少，暂时降低了对监控系统的需求。然而，疫情也加速了数位化进程，各大城市优先采用非接触式自动化解决方案，以保障交通安全。疫情后的復苏凸显了基础设施韧性的重要性，推动了对智慧交通技术的投资。对物流、公共交通和紧急服务的日益依赖，再次印证了智慧感测在疫情期间及之后保障城市交通安全高效运作方面的重要作用。

预计在预测期内，摄影机细分市场将占据最大的市场份额。

由于其多功能性和广泛应用，视讯摄影机预计将在预测期内占据最大的市场份额。它提供即时视讯监控，并支援交通流量分析、事件侦测和执法辅助。与人工智慧的整合增强了脸部辨识、车牌辨识和预测分析等功能。其成本效益和在包括十字路口、高速公路和城市中心在内的各种环境中的适应性，正在推动其应用。随着城市不断推进智慧运输计划，视讯摄影机仍将是最值得信赖的感测技术，预计在预测期内将保持最大的市场份额。

预计在预测期内，固定感测器细分市场将实现最高的复合年增长率。

预计在预测期内，固定感测器市场将实现最高成长率，这主要得益于其可靠性和持续监测能力。这些感测器安装在十字路口、高速公路和城市走廊等位置，能够持续提供交通流量、速度和拥塞情况等数据。感测器技术的进步提高了其精度和耐用性，使其成为自适应交通控制系统不可或缺的一部分。与智慧城市平台的整合进一步增强了其可扩展性。随着各国政府加大对基础设施现代化建设的投入，固定感测器在实现即时分析方面发挥的作用，使得该市场成为成长最快的市场之一。

比最大的地区

由于快速的都市化、不断扩展的智慧城市计划以及政府对智慧型运输系统的投资，预计亚太地区将在预测期内占据最大的市场份额。中国、日本和印度等国家正在部署大规模交通感知网络，以应对交通拥堵和安全挑战。车辆保有量的成长和基础设施的现代化进一步推动了智慧交通感知解决方案的普及。该地区在数位转型和高性价比部署方面的主导地位巩固了其优势，使其成为智慧交通感知解决方案市场最大的贡献者。

复合年均成长率最高的地区

在预测期内，北美地区预计将呈现最高的复合年增长率，这得益于其健全的法规结构、先进的基础设施以及对智慧运输技术的早期应用。美国和加拿大正在大力投资人工智慧驱动的交通分析、联网汽车生态系统和智慧城市计画。对安全性、效率和永续性的日益增长的需求正在推动这些技术的普及应用。公私合营以及感测器技术的创新也为成长注入了动力。北美对数位基础设施和即时交通管理的重视使其成为该市场成长最快的地区。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球智慧交通感测解决方案市场（按感测器类型划分）

  • 雷达感测器
  • 光达感测器
  • 摄影机
  • 感应线圈感测器

6. 全球智慧交通感知解决方案市场按部署类型划分

  • 固定感测器
  • 移动感测器

7. 全球智慧交通感知解决方案市场（按车辆类型划分）

  • 搭乘用车
  • 商用车辆
  • 公共运输工具
  • 紧急车辆

8. 全球智慧交通感知解决方案市场（以资料输出类型划分）

  • 即时交通数据
  • 预测性流量洞察
  • 以往交通流量分析
  • 基于事件的警报

9. 全球智慧交通感知解决方案市场（按技术划分）

  • 基于人工智慧的分析
  • 物联网系统

第十章 全球智慧交通感知解决方案市场（按应用划分）

  • 交通监控
  • 事件侦测
  • 自适应讯号控制
  • 其他的

第十一章 全球智慧交通感知解决方案市场（以最终用户划分）

  • 市政当局
  • 运输
  • 高速公路和收费公路营运公司
  • 智慧城市管理机构

第十二章：全球智慧交通感知解决方案市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十三章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十四章 企业概况

  • 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.