封面
市场调查报告书
商品编码
1591555

智慧道路系统市场 - 全球产业规模、份额、趋势、机会和预测,细分、按类型、按应用、按地区和竞争,2019-2029F

Intelligent Road System Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Type, By Application, By Region & Competition, 2019-2029F

出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3个工作天内

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简介目录

2023年全球智慧道路系统市场价值为512.3亿美元,预计2029年将达到961.1亿美元,预测期内复合年增长率为10.89%。智慧道路系统(IRS)市场涵盖一系列先进技术和解决方案,旨在提高道路运输的效率、安全性和环境永续性。 IRS 整合通讯、感测和资料分析技术,创建更智慧的道路网络,促进无缝交通流、最大限度地减少拥塞并降低事故风险。 IRS 的关键组件包括即时交通管理系统、先进的车辆侦测感测器、自动交通号誌和收费系统,它们共同实现了对道路环境的响应式和自适应控制。透过利用物联网 (IoT)、人工智慧 (AI) 和巨量资料分析等技术,IRS 解决方案为当局提供洞察,以动态管理交通模式、回应事件并根据即时资料优化道路使用。该系统还扩展到电子收费、智慧停车和自动执法系统等功能,增强用户体验并确保出行更加顺畅。 IRS 市场为各种利益相关者提供服务,包括城市规划者、政府机构、交通运营商和私营公司,所有这些利益相关者都受益于简化的运营以及减少交通拥堵和增强道路安全的经济优势。在城市环境中,国税局帮助解决车辆数量增加的挑战,使城市能够支持可持续和高效的交通解决方案。此外,IRS 透过提供连接车辆与道路基础设施的必要基础设施和通讯框架,促进更安全的自动驾驶体验,在促进自动驾驶汽车的未来方面发挥着至关重要的作用。

市场概况
预测期 2025-2029
2023 年市场规模 512.3亿美元
2029 年市场规模 961.1亿美元
2024-2029 年复合年增长率 10.89%
成长最快的细分市场 计算技术
最大的市场 北美洲

主要市场驱动因素

对交通拥堵管理解决方案的需求不断增长

政府对智慧城市计画的措施和投资

改善道路安全和减少事故的需求不断增长

主要市场挑战

实施及维护成本高

隐私和资料安全问题

主要市场趋势

车辆到基础设施 (V2I) 通讯网路的扩展

智慧交通管理解决方案投资成长

细分市场洞察

类型洞察

区域洞察

目录

第 1 章:产品概述

第 2 章:研究方法

第 3 章:执行摘要

第 4 章:客户之声

第 5 章:全球智慧道路系统市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型(无线通讯、计算技术和浮动蜂窝数据)
    • 按应用(紧急车辆通知系统、可变速度限制和防撞系统)
    • 按地区
  • 按公司划分 (2023)
  • 市场地图

第 6 章:北美智慧道路系统市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按申请
    • 按国家/地区
  • 北美:国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 7 章:欧洲智慧道路系统市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按申请
    • 按国家/地区
  • 欧洲:国家分析
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙

第 8 章:亚太地区智慧道路系统市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按申请
    • 按国家/地区
  • 亚太地区:国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第 9 章:南美洲智慧道路系统市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按申请
    • 按国家/地区
  • 南美洲:国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第10章:中东与非洲智慧道路系统市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按申请
    • 按国家/地区
  • 中东和非洲:国家分析
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋
    • 科威特
    • 土耳其

第 11 章:市场动态

  • 司机
  • 挑战

第 12 章:市场趋势与发展

第 13 章:公司简介

  • DENSO Corporation
  • Siemens AG
  • Hitachi, Ltd.
  • Kapsch TrafficCom AG
  • EFKON GmbH
  • Lanner Electronics Inc.
  • Thales Group
  • Cubic Corporation

第 14 章:策略建议

第15章调查会社について・免责事项

简介目录
Product Code: 26570

Global Intelligent Road System Market was valued at USD 51.23 billion in 2023 and is expected to reach USD 96.11 billion by 2029 with a CAGR of 10.89% during the forecast period. The Intelligent Road System (IRS) Market encompasses a range of advanced technologies and solutions designed to enhance the efficiency, safety, and environmental sustainability of road transportation. IRS integrates communication, sensing, and data analysis technologies to create smarter road networks that facilitate seamless traffic flow, minimize congestion, and reduce accident risks. Key components of IRS include real-time traffic management systems, advanced vehicle detection sensors, automated traffic signals, and tolling systems, which together enable responsive and adaptive control of road environments. By leveraging technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, IRS solutions provide authorities with insights to manage traffic patterns dynamically, respond to incidents, and optimize road usage based on real-time data. The system also extends to features like electronic toll collection, smart parking, and automated enforcement systems, enhancing the user experience and ensuring smoother travel. The IRS market serves various stakeholders, including city planners, government agencies, transportation operators, and private companies, all of whom benefit from streamlined operations and the economic advantages of reduced traffic congestion and enhanced road safety. In urban settings, IRS helps address the challenges posed by increasing vehicle numbers, enabling cities to support sustainable and efficient transportation solutions. Additionally, IRS plays a crucial role in facilitating the future of autonomous vehicles by providing necessary infrastructure and communication frameworks that connect vehicles with road infrastructure, fostering safer autonomous driving experiences.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 51.23 Billion
Market Size 2029USD 96.11 Billion
CAGR 2024-202910.89%
Fastest Growing SegmentComputational Technologies
Largest MarketNorth America

Key Market Drivers

Rising Demand for Traffic Congestion Management Solutions

One of the primary drivers in the Global Intelligent Road System market is the increasing need for traffic congestion management in urban areas. Rapid urbanization and rising vehicle numbers have exacerbated traffic congestion, leading to longer travel times, increased emissions, and higher fuel consumption. Governments and city planners are looking toward intelligent solutions to manage these challenges and enhance urban mobility. Intelligent road systems incorporate technologies like adaptive traffic signals, real-time traffic monitoring, and dynamic lane management to help manage traffic flow efficiently. Adaptive traffic signal control, for example, can adjust signal timing based on real-time traffic conditions, reducing delays and improving travel times. Additionally, dynamic lane management allows for flexible lane assignments depending on the current traffic volume and flow, making efficient use of available road space. Beyond just reducing congestion, IRS also plays a crucial role in improving road safety by providing real-time alerts for drivers about potential hazards and suggesting alternate routes. These systems help mitigate accidents, improve the efficiency of emergency response, and, ultimately, create a safer environment for all road users. As traffic congestion management remains a high priority for cities globally, investments in IRS technology are expected to increase, driving further growth in this market.

Government Initiatives and Investments in Smart City Projects

Government initiatives to build smart cities are significantly fueling the adoption of intelligent road systems worldwide. Many governments are prioritizing smart city projects that aim to create sustainable, interconnected, and efficient urban ecosystems. As a critical part of smart city infrastructure, IRS facilitates smooth traffic flow, reduces pollution, and enhances the safety and efficiency of transportation networks. Governments are increasingly investing in intelligent road systems to achieve these goals. For instance, many countries have implemented policies to fund the development of infrastructure that incorporates IoT-enabled sensors, automated traffic monitoring, and intelligent traffic signal systems. These initiatives are further supported by public-private partnerships, where the private sector collaborates with governments to deploy and maintain IRS technology, allowing for larger-scale implementations. In addition, many countries are implementing regulatory frameworks to ensure that IRS technologies are deployed in a standardized and coordinated manner. These frameworks encourage the adoption of IRS solutions by providing clear guidelines and compliance requirements, which drive the demand for innovative IRS solutions from both technology providers and infrastructure developers. As governments continue to invest in smart cities, the IRS market is expected to see substantial growth, driven by both public funding and private investments.

Increasing Demand for Improved Road Safety and Accident Reduction

The growing focus on road safety and the reduction of road-related accidents is a major driver for the Global intelligent road system market. As road accidents continue to be a major public health concern, governments and organizations are investing in IRS solutions to enhance safety for drivers, pedestrians, and cyclists. Intelligent road systems offer features like automated incident detection, which identifies accidents or breakdowns in real-time and alerts the appropriate response teams to minimize response times and prevent secondary incidents. Additionally, IRS can use data analytics to predict high-risk areas or conditions, allowing authorities to implement preventive measures proactively. Technologies like vehicle-to-infrastructure (V2I) communication enable vehicles to receive updates from road systems about road conditions, speed limits, and potential hazards, reducing the likelihood of accidents. Pedestrian detection and warning systems also play a critical role in reducing pedestrian-related accidents by alerting drivers when pedestrians are detected in their path, particularly in high-traffic urban areas or intersections. Furthermore, with the integration of AI and machine learning, intelligent road systems can continuously analyze traffic patterns and accident data to adapt and improve safety protocols over time. As safety remains a top priority for governments and transportation authorities, the demand for intelligent road systems is projected to rise, significantly driving the market forward.

Key Market Challenges

High Implementation and Maintenance Costs

The high costs associated with implementing and maintaining Intelligent Road Systems represent a significant barrier to widespread adoption. Intelligent Road Systems rely on advanced infrastructure, including sensors, cameras, and communication networks, to monitor and manage traffic, enhance safety, and facilitate efficient transport. The initial setup often requires substantial investment in equipment, software, and skilled labor, especially when deploying systems in urban areas with complex road networks. For governments and municipal authorities, budgeting for IRS can be challenging, particularly in regions with limited funding for infrastructure projects. In addition to these upfront costs, IRS requires ongoing maintenance and periodic upgrades to keep pace with technological advancements. Components such as sensors and cameras may need regular calibration, repairs, or replacement, all of which add to the system's long-term cost. Moreover, integrating IRS with existing infrastructure is often complex and expensive. Retrofitting roads, installing communication networks, and connecting to legacy systems pose both technical and financial challenges, particularly in older cities where infrastructure is outdated. In many cases, interoperability issues arise, requiring further investments to ensure compatibility with other transport systems. For private investors and government bodies alike, these factors make the return on investment less clear, as benefits from IRS, such as reduced traffic congestion and accident rates, are often gradual rather than immediate. Additionally, the costs can escalate in low-income and developing regions where governments are already struggling to fund basic infrastructure needs, leaving little room for IRS investment. These financial limitations also impact the ability to train personnel, another critical factor since skilled technicians and engineers are required to manage and maintain these systems effectively. Without sufficient financial resources to cover these various aspects, cities and municipalities may face significant delays or abandon IRS projects altogether, slowing down the growth and adoption of Intelligent Road Systems.

Privacy and Data Security Concerns

Privacy and data security are major challenges for the Global Intelligent Road System market, as these systems heavily rely on collecting, analyzing, and storing vast amounts of data on traffic patterns, vehicle movements, and individual behaviors. This data is essential for the real-time monitoring and predictive analytics that allow IRS to optimize traffic flow, enhance safety, and reduce congestion. However, the collection of such sensitive information raises substantial privacy concerns among the public. Individuals may feel uncomfortable knowing that their daily movements are tracked and stored, particularly if this data could be used to profile or monitor them without their consent. Regulatory compliance regarding data collection and privacy is also a key consideration. With stricter regulations like the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) in the US, companies and governments deploying IRS face added complexities in handling personal data responsibly. Non-compliance can result in substantial fines and reputational damage, making privacy a costly risk factor. In addition, the IRS infrastructure itself is vulnerable to cyberattacks, as hackers may attempt to manipulate traffic signals, cause disruptions, or gain access to sensitive information. As intelligent systems are interconnected, a breach in one component can potentially compromise the entire network, posing threats to public safety. To mitigate these risks, governments and organizations must invest in advanced cybersecurity measures and regularly update their systems to guard against new threats. However, this further increases operational costs, compounding the financial challenge associated with IRS implementation. The issue of data ownership is another complexity, as different stakeholders-such as municipal authorities, private contractors, and technology providers-may have differing views on data control and access rights. Ensuring that all parties adhere to the same standards and practices is a complex task that can delay deployment and limit IRS efficiency. Consequently, balancing the technological advantages of IRS with robust privacy protections remains a significant hurdle, slowing down adoption in regions where privacy is a top priority and making it difficult to gain public trust.

Key Market Trends

Expansion of Vehicle-to-Infrastructure (V2I) Communication Networks

Vehicle-to-Infrastructure (V2I) communication is rapidly becoming a cornerstone of modern intelligent road systems, allowing vehicles to communicate directly with road infrastructure such as traffic signals, toll booths, and other control devices. This trend in V2I expansion facilitates more efficient traffic flow and enhances overall road safety by enabling vehicles to receive real-time updates about traffic conditions, road hazards, and optimal speed limits. V2I communication technology enables intelligent road systems to interact dynamically with vehicles, reducing congestion by allowing infrastructure to adapt to traffic demands instantly. For instance, adaptive traffic signals can extend or shorten green lights based on the number of incoming vehicles, preventing bottlenecks and minimizing idle time for drivers. The proliferation of V2I networks also supports the widespread adoption of semi-autonomous and fully autonomous vehicles, which rely heavily on these communication channels to make informed driving decisions. Beyond individual vehicle and infrastructure communication, V2I technology also supports coordinated responses to traffic incidents, allowing for smoother rerouting of traffic in the event of accidents or road closures, reducing the potential for secondary accidents caused by sudden changes in traffic flow. Governments and municipal agencies are investing heavily in V2I technology as part of their smart city initiatives, aiming to build more responsive, efficient, and sustainable road networks. The expansion of V2I communication networks represents a critical trend in the Global intelligent road system market, driving demand for infrastructure upgrades and fostering collaboration between public authorities, automotive manufacturers, and tech companies to create integrated, connected road environments that prioritize safety and efficiency.

Growth in Investment for Smart Traffic Management Solutions

Increased investment in smart traffic management solutions marks a significant trend in the Global intelligent road system market, as urban areas face rising challenges from population growth and vehicle congestion. Smart traffic management systems utilize IoT sensors, data analytics, and cloud-based platforms to monitor and manage traffic in real-time, providing municipalities with a more comprehensive and dynamic approach to traffic control. By analyzing real-time data from various sources, these systems can predict and prevent traffic congestion, optimize signal timing, and reduce road bottlenecks, resulting in smoother traffic flow and reduced environmental impact from vehicular emissions. Furthermore, smart traffic solutions contribute to safer roads by identifying patterns that may indicate accident-prone zones or risky driving behavior, allowing for timely interventions such as road design changes or targeted law enforcement. A significant component of this trend is the development of centralized traffic management centers, which oversee traffic conditions across an entire city or region, enabling rapid responses to evolving traffic situations. With governments and private investors increasingly recognizing the long-term economic and environmental benefits of smart traffic management, substantial funding is being directed toward these solutions. In parallel, advancements in cloud computing, 5G connectivity, and IoT technology are further catalyzing the effectiveness of these systems by enabling more responsive, scalable, and data-rich traffic management. As urban centers worldwide confront congestion and pollution concerns, the push for smart traffic management solutions is likely to continue accelerating, presenting substantial growth potential for companies in the Global intelligent road system market.

Segmental Insights

Type Insights

The Wireless Communication segment held the largest Market share in 2023. The Intelligent Road System market is experiencing robust growth, particularly within the wireless communication segment, which is emerging as a crucial driver in advancing smart transportation. Wireless communication in IRS enables seamless data transmission between vehicles, infrastructure, and control centers, thereby enhancing road safety, traffic efficiency, and overall travel experience. The surge in connected vehicles and the advent of autonomous driving have propelled the need for real-time, reliable, and low-latency wireless communication networks that can support Vehicle-to-Everything (V2X) communications. With V2X, vehicles can communicate with each other (V2V), infrastructure (V2I), and even pedestrians (V2P), creating a synchronized network that can anticipate and respond to road conditions, optimize traffic flow, and minimize accident risks. This ability to improve situational awareness on the road is essential in addressing congestion issues, particularly in densely populated urban areas, where road networks are often strained. Governments worldwide are investing heavily in intelligent infrastructure, including 5G networks and advanced sensors, to support wireless communication for IRS. The rapid deployment of 5G technology is pivotal as it offers ultra-reliable, low-latency communication necessary for real-time IRS operations. 5G enables faster data exchange and high-speed connectivity across all components of an intelligent road system, ensuring rapid transmission of data such as traffic signals, weather conditions, and road hazards to enhance decision-making for both human drivers and automated systems.

As the demand for electric vehicles (EVs) rises, wireless communication also supports efficient traffic and energy management systems by enabling charging stations and vehicles to interact, thus facilitating a smoother EV infrastructure network. This trend underscores the role of IRS in creating sustainable urban mobility solutions and aligning with green transportation initiatives. Additionally, wireless communication enhances the scalability of IRS, allowing cities and urban planners to integrate more advanced features, such as dynamic tolling, real-time rerouting, and smart parking solutions, which further drive adoption. The emergence of smart cities has further boosted IRS deployment, as these initiatives emphasize integrated, data-driven approaches to urban planning. As cities look to transform transportation systems, wireless communication-based IRS solutions become essential, enabling authorities to respond swiftly to traffic disruptions, emergencies, and peak demand periods. The wireless communication segment of IRS is also gaining momentum due to growing partnerships between automotive companies, tech firms, and government agencies, all collaborating to create comprehensive, interoperable systems that standardize communication protocols for IRS. Additionally, as cybersecurity threats rise, secure wireless communication is paramount to protect sensitive data transmitted across networks, making it essential for the wireless segment to address encryption, data integrity, and secure access to prevent breaches in IRS. Continuous advancements in wireless communication technology, including edge computing and AI integration, further contribute to the rapid evolution of IRS, enabling predictive maintenance, smart diagnostics, and autonomous response capabilities. Overall, the wireless communication segment is central to the intelligent road system market's growth, transforming traditional transportation into an interconnected, responsive, and efficient ecosystem, ultimately enhancing mobility and safety for the modern road network.

Regional Insights

North America region held the largest market share in 2023. The North American Intelligent Road System (IRS) market is driven by several critical factors, chiefly the region's push for smarter, more sustainable transportation solutions to address escalating traffic congestion and enhance road safety. With urban areas experiencing substantial growth, traffic management has become a priority, prompting governments to invest heavily in intelligent road infrastructure that integrates advanced technologies, including IoT, AI, and data analytics, to manage traffic flow, reduce travel time, and mitigate environmental impact. Federal and state authorities, including the U.S. Department of Transportation, are actively supporting these developments through funding and policy initiatives aimed at modernizing transportation infrastructure and deploying intelligent solutions that streamline road usage. As the demand for eco-friendly and efficient roadways grows, IRS solutions that can effectively monitor traffic conditions, provide real-time updates, and optimize signal systems are increasingly essential. This demand aligns with North America's robust technological ecosystem, where IoT-enabled devices and cloud-based analytics platforms can seamlessly integrate to deliver data-driven insights and enhance traffic predictability. The proliferation of connected and autonomous vehicles (CAVs) further accelerates the growth of IRS in North America. As automakers and tech firms push forward with autonomous vehicle testing and deployment, intelligent road systems are essential for enabling vehicle-to-everything (V2X) communication, which allows CAVs to exchange data with road infrastructure, other vehicles, and pedestrians. This connectivity enhances the safety and efficiency of autonomous driving by facilitating real-time response to road conditions, accidents, and congestion, which is crucial for the successful operation of autonomous vehicles in diverse traffic environments. The IRS market also benefits from public-private partnerships that support the development and deployment of these advanced road systems, as companies and local governments collaborate to implement intelligent infrastructure projects in pilot cities, thus setting the stage for broader adoption across the region.

Environmental sustainability is another significant driver for IRS deployment, as North America seeks to meet stringent emissions targets and promote green urban mobility. Intelligent road systems, equipped with capabilities like adaptive traffic signals and real-time congestion management, not only reduce idling times and fuel consumption but also contribute to lower vehicle emissions by minimizing stop-and-go driving patterns. Moreover, IRS solutions support the growth of electric vehicle (EV) infrastructure by providing data on EV usage and helping optimize charging station locations and availability. This shift is supported by incentives from state and federal programs aimed at reducing carbon footprints and enhancing sustainable transportation networks, making IRS a pivotal component in North America's green transition. The increased integration of advanced data analytics and machine learning within IRS solutions also significantly drives market growth by enabling predictive traffic management. With real-time data gathered from sensors, cameras, and connected vehicles, IRS solutions can identify and address traffic incidents proactively, preventing bottlenecks and improving overall traffic flow. These predictive capabilities are especially valuable for large cities and heavily traveled corridors, as they allow for better resource allocation and emergency response coordination, thus enhancing public safety. As North America continues to prioritize smart city initiatives, the need for data-driven, adaptive road systems will only intensify, solidifying the demand for intelligent road systems that can meet the region's evolving urbanization and mobility needs. In summary, the Intelligent Road System market in North America is primarily driven by urbanization, CAV development, environmental goals, and data-driven insights, each contributing to a more efficient, safe, and sustainable road infrastructure.

Key Market Players

  • DENSO Corporation
  • Siemens AG
  • Hitachi, Ltd.
  • Kapsch TrafficCom AG
  • EFKON GmbH
  • Lanner Electronics Inc.
  • Thales Group
  • Cubic Corporation

Report Scope:

In this report, the Global Intelligent Road System Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Intelligent Road System Market, By Type:

  • Wireless Communication
  • Computational Technologies
  • Floating Cellular Data

Intelligent Road System Market, By Application:

  • Emergency Vehicle Notification System
  • Variable Speed Limits
  • Collision Avoidance System

Intelligent Road System Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Kuwait
    • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Intelligent Road System Market.

Available Customizations:

Global Intelligent Road System 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:

Company Information

  • Detailed analysis and profiling of additional Market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
  • 1.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Intelligent Road System Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (Wireless Communication, Computational Technologies and Floating Cellular Data)
    • 5.2.2. By Application (Emergency Vehicle Notification System, Variable Speed Limits and Collision Avoidance System)
    • 5.2.3. By Region
  • 5.3. By Company (2023)
  • 5.4. Market Map

6. North America Intelligent Road System Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Application
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Intelligent Road System Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By Application
    • 6.3.2. Canada Intelligent Road System Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By Application
    • 6.3.3. Mexico Intelligent Road System Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By Application

7. Europe Intelligent Road System Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Application
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Intelligent Road System Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By Application
    • 7.3.2. United Kingdom Intelligent Road System Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By Application
    • 7.3.3. Italy Intelligent Road System Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By Application
    • 7.3.4. France Intelligent Road System Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By Application
    • 7.3.5. Spain Intelligent Road System Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By Application

8. Asia-Pacific Intelligent Road System Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Application
    • 8.2.3. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Intelligent Road System Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Application
    • 8.3.2. India Intelligent Road System Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Application
    • 8.3.3. Japan Intelligent Road System Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Application
    • 8.3.4. South Korea Intelligent Road System Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By Application
    • 8.3.5. Australia Intelligent Road System Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By Application

9. South America Intelligent Road System Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Application
    • 9.2.3. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Intelligent Road System Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Application
    • 9.3.2. Argentina Intelligent Road System Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Application
    • 9.3.3. Colombia Intelligent Road System Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Application

10. Middle East and Africa Intelligent Road System Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Application
    • 10.2.3. By Country
  • 10.3. Middle East and Africa: Country Analysis
    • 10.3.1. South Africa Intelligent Road System Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Application
    • 10.3.2. Saudi Arabia Intelligent Road System Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Application
    • 10.3.3. UAE Intelligent Road System Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Application
    • 10.3.4. Kuwait Intelligent Road System Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Type
        • 10.3.4.2.2. By Application
    • 10.3.5. Turkey Intelligent Road System Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Type
        • 10.3.5.2.2. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. DENSO Corporation
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel/Key Contact Person
    • 13.1.5. Key Product/Services Offered
  • 13.2. Siemens AG
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue and Financials
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel/Key Contact Person
    • 13.2.5. Key Product/Services Offered
  • 13.3. Hitachi, Ltd.
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue and Financials
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel/Key Contact Person
    • 13.3.5. Key Product/Services Offered
  • 13.4. Kapsch TrafficCom AG
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue and Financials
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel/Key Contact Person
    • 13.4.5. Key Product/Services Offered
  • 13.5. EFKON GmbH
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue and Financials
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel/Key Contact Person
    • 13.5.5. Key Product/Services Offered
  • 13.6. Lanner Electronics Inc.
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue and Financials
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel/Key Contact Person
    • 13.6.5. Key Product/Services Offered
  • 13.7. Thales Group
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue and Financials
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel/Key Contact Person
    • 13.7.5. Key Product/Services Offered
  • 13.8. Cubic Corporation
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue and Financials
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel/Key Contact Person
    • 13.8.5. Key Product/Services Offered

14. Strategic Recommendations

15. About Us & Disclaimer