查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1849837

智慧公路：市场占有率分析、产业趋势、统计数据和成长预测（2025-2030 年）

Smart Highway - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

预计到 2025 年，智慧高速公路市场规模将达到 668.8 亿美元，到 2030 年将达到 1,653.7 亿美元，年复合成长率为 19.85%。

智慧高速公路市场-IMG1

强而有力的公共资本计画、联网汽车标准的快速发展以及感测器价格的暴跌，都在支撑着这一成长轨迹。亚太地区仍然至关重要，中央和地方政府正大力投资建造配备物联网节点的多车道高速公路；北美和欧洲则将道路安全监管目标与技术要求相结合。大型高速公路所有者正从以资产为中心的采购模式转向服务水平协议，这为云端原生交通平台在全国范围内扩展铺平了道路。私人业者将电动车充电区和太阳能路面视为新的收入来源，而软体企业则竞相在5G延迟普及之前，抢占边缘分析领域的先机。

全球智慧公路市场趋势与洞察

政府在智慧基础设施的支出激增

创纪录的公共支出为一项为期多年的建设项目提供了资金支持。 《基础建设投资与就业法案》拨款1.2兆美元，其中包括一项75亿美元的专款，用于建造全国性的充电走廊。印度2025年预算承诺拨款287.33亿卢比（约345亿美元）用于高速公路现代化改造。专项津贴计画将资金与数位基础设施建设的里程碑挂钩，几乎可以确保先进感测、分析和车联网（V2X）模组的采购。

交通拥堵成本不断上升

城市拥挤如今不仅损害了市政GDP成长，也阻碍了排放目标的实现，迫使当局部署人工智慧驱动的自适应交通号誌。新加坡和伦敦的早期部署已显着缩短了行程时间并减少了挥发性有机化合物的排放，这进一步凸显了城际云端交通遥测技术的经济效益。

感测器/物联网成本迅速下降

雷达、光达和视觉模组的单位成本下降速度超过了摩尔定律的预测，这使得次要道路和城郊干道的数位化升级成为可能。具备人工智慧推理功能的低功耗摄影机如今的出货价格分布已降至以往只有基础CCTV才能达到的水平，从而加速了全车道公里覆盖的进程。

细分市场分析

到2024年，服务收入将占总收入的46%，这主要得益于政府对整合商的依赖，他们需要将传统资产与边缘原生平台整合。咨询团队主导变革管理项目，而託管服务合约则确保了全天候网路运作。软体收入目前以18.8%的复合年增长率成长，主要由基于订阅的分析服务驱动，这些服务能够将元资料货币化。硬体仍然至关重要，但其商品化程度正在不断提高。软体定义路侧单元的出现使得功能可以透过无线方式发布，而不会中断土木工程施工。这种架构提高了生命週期投资报酬率，并有助于符合不断发展的V2X标准。

智慧公路市场营运商意识到，劳动密集的设计-建造-营运合约会将性能风险转移给供应商。以结果为导向的服务水准协定利用数位孪生技术来预测路面应力和讯号延迟情况，从而减少计划外封闭。随着采购部门越来越重视整体拥有成本 (TCO) 指标，服务联盟可能会整合，这与过去十年云端基础设施外包的趋势类似。

智慧交通管理系统将在2024年贡献38%的收入，并继续成为市政试点计画的切入点。人工智慧引导的渐进式号誌灯变化、变动速度建议和紧急车道行驶等措施，能够显着缓解交通拥堵，满足通勤监督机构的需求。通讯系统预计将以20.5%的复合年增长率成长，并将支援新的协同驾驶应用场景。边缘云网状网路能够处理连网车辆与龙门架无线电之间小于10毫秒的握手，从而实现大规模的车道併线编队。

一个显着的变化是电脑视觉摄影机的引入，这些摄影机能够动态调整解析度网格，从而在追踪密集交通场景的同时降低能耗。平台供应商将这些感测器与微服务捆绑在一起，为预测引擎提供数据，从而将智慧高速公路市场从被动控制迴路转变为预测最佳化。

区域分析

亚太地区将占总营收的35%，到2030年将以18.3%的复合年增长率成长。各国政府正将数位走廊定位为推动经济重心从沿海特大城市转移到内陆製造地的引擎。印度正在加大预算拨款力度，并透过发行多边绿色债券来确保智慧交通系统（ITS）的资金来源。

欧洲占31%的市场份额，并积极倡导通用标准以实现跨境无缝衔接。英国的《互联与自动化蓝图》拨款1亿英镑（约1.26亿美元）用于示范自动驾驶物流走廊，并预测2035年市场规模将达到420亿英镑。斯堪地那维亚政府正在整合智慧高速公路和绿氢燃料卡车停靠站，以满足「Fit-for-55」排放法规的要求，将气候政策转化为采购优势。

北美将占总收入的27%，并以15.1%的复合年增长率成长。联邦奖励策略正在加速设计建造资金筹措模式的推广，而各州运输部则强制要求采用开放的应用程式介面（API），从而为中型软体供应商创造公平的竞争环境。加拿大正在试行在翻新的沥青路面下铺设数位双胞胎底层，以模拟冻融循环应力；墨西哥则将智慧交通系统（ITS）的部署与收费公路沿线的光纤特许权益捆绑在一起，以交叉补贴资本支出。预计到2030年，北美智慧公路市场规模将达到447亿美元。

其他福利：

  • Excel格式的市场预测（ME）表
  • 3个月的分析师支持

目录

第一章 引言

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章 市场情势

  • 市场概览
  • 市场驱动因素
    • 政府智慧基础设施支出激增
    • 交通拥堵成本不断增加
    • 强制性道路安全法规
    • 感测器/物联网成本迅速下降
    • 新兴的支持 C-AV 的走廊试点
    • 道路电动车充电试点项目
  • 市场限制
    • 高额资本投入和较长的投资回收期
    • 资料隐私与网路安全风险
    • 机构间互通性差距
    • PPP采购延误
  • 价值/供应链分析
  • 技术展望
  • 监管环境
  • 产业相关利益者分析
  • 近期重大案例研究
  • 投资分析
  • 波特五力模型
    • 新进入者的威胁
    • 买方的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争

第五章 市场规模与成长预测

  • 按组件
    • 硬体
    • 软体
    • 服务
  • 透过产品技术
    • 智慧交通管理系统
    • 智慧交通管理系统
    • 监控系统
    • 通讯系统
    • 照明和能源系统
  • 透过使用
    • 交通拥堵管理
    • 安全与事故侦测
    • 智慧停车
    • 收费站
    • 排放监测
    • 支援联网汽车和自动驾驶车辆
  • 按部署模式
    • 本地部署
    • 云端基础的
    • 杂交种
  • 按道路类型
    • 公路
    • 城市道路
    • 高速公路
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美洲
    • 欧洲
      • 德国
      • 英国
      • 法国
      • 义大利
      • 西班牙
      • 俄罗斯
      • 其他欧洲地区
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 韩国
      • 澳洲
      • 亚太其他地区
    • 中东和非洲
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 土耳其
      • 南非
      • 奈及利亚
      • 其他中东和非洲地区

第六章 竞争情势

  • 市场集中度
  • 策略趋势
  • 市占率分析
  • 公司简介
    • Alcatel-Lucent Enterprise（Nokia）
    • Cisco Systems Inc.
    • IBM Corporation
    • Indra Sistemas SA
    • Infineon Technologies AG
    • Huawei Technologies Co. Ltd
    • Kapsch TrafficCom AG
    • LG CNS Co. Ltd
    • Schneider Electric SE
    • Siemens AG
    • Xerox Holdings Corporation
    • Thales Group
    • Iteris Inc.
    • Cubic Transportation Systems
    • SWARCO AG
    • TransCore（Roper Tech.）
    • Econolite Group Inc.
    • TomTom NV
    • Conduent Inc.
    • Continental AG
    • FLIR Systems Inc.
    • PTC Inc.

第七章 市场机会与未来展望

简介目录
Product Code: 46973

The smart highway market size is valued at USD 66.88 billion in 2025 and is forecast to reach USD 165.37 billion by 2030, rising at a 19.85% CAGR.

Smart Highway - Market - IMG1

Strong public-sector capital programs, rapid advances in connected-vehicle standards, and steep declines in sensor prices anchor this growth trajectory. Asia-Pacific remains pivotal as central and provincial authorities channel funds into multi-lane expressways equipped with IoT nodes, while North America and Europe align regulatory road-safety targets with technology mandates. Large highway owners are shifting from asset-centric procurement to service-level contracting, paving the way for cloud-native traffic platforms that scale nationwide. Private operators view embedded EV-charging strips and solar surface tiles as fresh revenue lanes, and venture-backed software firms are racing to secure edge-analytics footholds before 5G latency advantages normalize.

Global Smart Highway Market Trends and Insights

Government smart-infrastructure spending surge

Record-level public appropriations are underwriting multi-year construction pipelines. The Infrastructure Investment and Jobs Act allocates USD 1.2 trillion, including a USD 7.5 billion carve-out for nationwide charging corridors, while India's 2025 budget channels INR 2,87,333 crore (USD 34.5 billion) toward highway modernisation. Dedicated grant programs tie funds to digital-infrastructure milestones, which effectively guarantee procurement for advanced sensing, analytics, and V2X modules.

Growing traffic-congestion costs

Urban congestion now erodes municipal GDP growth and undermines emissions targets, pressing authorities to deploy AI-directed adaptive signalling. Early deployments in Singapore and London showed measurable travel-time reductions and volatile-organic-compound declines, reinforcing the economic case for city-to-cloud traffic telemetry.

Rapid sensor / IoT cost decline

Unit prices for radar, lidar, and vision modules have fallen faster than Moore's Law projections, opening secondary corridors and peri-urban arterials to digital upgrades. Low-power cameras with on-board AI inference now ship at price points once reserved for basic CCTV, accelerating total lane-kilometre coverage.

Other drivers and restraints analyzed in the detailed report include:

  1. Mandatory road-safety regulations
  2. High capex & long payback
  3. Data-privacy & cyber-security risks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Services held 46% revenue share in 2024 as governments relied on integrators to dovetail legacy assets with edge-native platforms. Advisory teams orchestrate change-management programs, while managed-service contracts guarantee round-the-clock network uptime. Software revenue is smaller today yet grows at an 18.8% CAGR, propelled by subscription-based analytics that monetise traffic metadata. Hardware remains essential but is increasingly commoditised; the arrival of software-defined roadside units enables over-the-air feature releases without civil-works disruption. This architecture boosts lifetime ROI and eases compliance with evolving V2X standards.

Smart highway market operators recognise that labour-intensive design-build-operate contracts transfer performance risk to vendors. Outcome-oriented service-level agreements encourage predictive maintenance driven by digital twins that mirror pavement stress and signal latency, lowering unplanned closures. As procurement offices pivot toward total-cost-of-ownership metrics, service consortia are likely to consolidate, echoing trends seen in cloud-infra outsourcing during the prior decade.

Smart traffic management systems account for 38% of 2024 revenue and remain the entry point for municipal pilots. AI-guided signal phasing, variable-speed advisories, and hard-shoulder running demonstrate visible congestion relief that satisfies commuter watchdogs. Communication systems, projected to expand at 20.5% CAGR, underpin emerging cooperative-driving use cases. The edge-cloud mesh handles sub-ten-millisecond handshakes between connected vehicles and gantry radios, enabling lane-merge orchestration at scale.

A notable shift is the infusion of computer-vision cameras that dynamically adjust resolution grids to cut energy draw while tracking dense traffic scenes. Platform suppliers bundle these sensors with microservices that feed predictive engines, moving the smart highway market beyond reactive control loops to anticipatory optimisation.

The Smart Highway Market Report is Segmented by Component (Hardware, Software, and Services), by Product Technology (Smart Transport Management, and More) by Application (Traffic Congestion Management, Safety and Incident Detection, and More), by Deployment Model (On-Premise, Cloud-Based, and More), by Road Type (Highway, Urban Road, and More) and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

Asia-Pacific secures 35% revenue and expands at an 18.3% CAGR through 2030. National governments position digital corridors as engines for economic rebalancing from coastal megacities to interior manufacturing hubs. China's rollout of nearly 800 smart-city pilots embeds roadway telemetry in wider data-governance frameworks.India deepens budget-line allocations, helped by multi-lateral green-bond issuances that ring-fence funds for ITS.

Europe commands 31% share and champions common standards that enable cross-border continuity. The UK's Connected & Automated Mobility roadmap assigns GBP 100 million (USD 126 million) to prove self-driving logistics corridors, projecting a GBP 42 billion market by 2035. Scandinavian administrations integrate smart highways with green-hydrogen truck stops to align with Fit-for-55 emissions ceilings, turning climate policy into procurement leverage.

North America holds 27% revenue and grows at 15.1% CAGR. Federal stimulus accelerates design-build finance models, while state DOTs embrace open-application-programming-interface mandates that level the playing field for mid-sized software vendors. Canada pilots digital-twin sub-layers beneath resurfaced asphalt to model freeze-thaw stress, and Mexico bundles ITS rollouts with fibre concessions along tollways to cross-subsidise capital outlays. The smart highway market size in North America is slated to reach USD 44.7 billion by 2030.

  1. Alcatel-Lucent Enterprise (Nokia)
  2. Cisco Systems Inc.
  3. IBM Corporation
  4. Indra Sistemas SA
  5. Infineon Technologies AG
  6. Huawei Technologies Co. Ltd
  7. Kapsch TrafficCom AG
  8. LG CNS Co. Ltd
  9. Schneider Electric SE
  10. Siemens AG
  11. Xerox Holdings Corporation
  12. Thales Group
  13. Iteris Inc.
  14. Cubic Transportation Systems
  15. SWARCO AG
  16. TransCore (Roper Tech.)
  17. Econolite Group Inc.
  18. TomTom N.V.
  19. Conduent Inc.
  20. Continental AG
  21. FLIR Systems Inc.
  22. PTC Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Government smart-infrastructure spending surge
    • 4.2.2 Growing traffic-congestion costs
    • 4.2.3 Mandatory road-safety regulations
    • 4.2.4 Rapid sensor/IoT cost decline
    • 4.2.5 Emerging C-AV ready corridor pilots
    • 4.2.6 Dynamic in-road EV-charging pilots
  • 4.3 Market Restraints
    • 4.3.1 High capex and long payback
    • 4.3.2 Data-privacy and cyber-security risks
    • 4.3.3 Inter-agency interoperability gaps
    • 4.3.4 PPP procurement delays
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Technological Outlook
  • 4.6 Regulatory Landscape
  • 4.7 Industry Stakeholder Analysis
  • 4.8 Key Recent Case Studies
  • 4.9 Investment Analysis
  • 4.10 Porter's Five Forces
    • 4.10.1 Threat of New Entrants
    • 4.10.2 Bargaining Power of Buyers
    • 4.10.3 Bargaining Power of Suppliers
    • 4.10.4 Threat of Substitutes
    • 4.10.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Component
    • 5.1.1 Hardware
    • 5.1.2 Software
    • 5.1.3 Services
  • 5.2 By Product Technology
    • 5.2.1 Smart Traffic Management Systems
    • 5.2.2 Smart Transport Management Systems
    • 5.2.3 Monitoring Systems
    • 5.2.4 Communication Systems
    • 5.2.5 Lighting and Energy Systems
  • 5.3 By Application
    • 5.3.1 Traffic Congestion Management
    • 5.3.2 Safety and Incident Detection
    • 5.3.3 Smart Parking
    • 5.3.4 Toll Collection
    • 5.3.5 Emission Monitoring
    • 5.3.6 Connected and Autonomous Vehicle Support
  • 5.4 By Deployment Model
    • 5.4.1 On-premise
    • 5.4.2 Cloud-based
    • 5.4.3 Hybrid
  • 5.5 By Road Type
    • 5.5.1 Highway
    • 5.5.2 Urban Road
    • 5.5.3 Expressway
  • 5.6 By Geography
    • 5.6.1 North America
      • 5.6.1.1 United States
      • 5.6.1.2 Canada
      • 5.6.1.3 Mexico
    • 5.6.2 South America
      • 5.6.2.1 Brazil
      • 5.6.2.2 Argentina
      • 5.6.2.3 Rest of South America
    • 5.6.3 Europe
      • 5.6.3.1 Germany
      • 5.6.3.2 United Kingdom
      • 5.6.3.3 France
      • 5.6.3.4 Italy
      • 5.6.3.5 Spain
      • 5.6.3.6 Russia
      • 5.6.3.7 Rest of Europe
    • 5.6.4 APAC
      • 5.6.4.1 China
      • 5.6.4.2 Japan
      • 5.6.4.3 India
      • 5.6.4.4 South Korea
      • 5.6.4.5 Australia
      • 5.6.4.6 Rest of APAC
    • 5.6.5 Middle East and Africa
      • 5.6.5.1 Saudi Arabia
      • 5.6.5.2 United Arab Emirates
      • 5.6.5.3 Turkey
      • 5.6.5.4 South Africa
      • 5.6.5.5 Nigeria
      • 5.6.5.6 Rest of Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, Recent Developments)
    • 6.4.1 Alcatel-Lucent Enterprise (Nokia)
    • 6.4.2 Cisco Systems Inc.
    • 6.4.3 IBM Corporation
    • 6.4.4 Indra Sistemas SA
    • 6.4.5 Infineon Technologies AG
    • 6.4.6 Huawei Technologies Co. Ltd
    • 6.4.7 Kapsch TrafficCom AG
    • 6.4.8 LG CNS Co. Ltd
    • 6.4.9 Schneider Electric SE
    • 6.4.10 Siemens AG
    • 6.4.11 Xerox Holdings Corporation
    • 6.4.12 Thales Group
    • 6.4.13 Iteris Inc.
    • 6.4.14 Cubic Transportation Systems
    • 6.4.15 SWARCO AG
    • 6.4.16 TransCore (Roper Tech.)
    • 6.4.17 Econolite Group Inc.
    • 6.4.18 TomTom N.V.
    • 6.4.19 Conduent Inc.
    • 6.4.20 Continental AG
    • 6.4.21 FLIR Systems Inc.
    • 6.4.22 PTC Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment