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市場調查報告書
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1844727

ITS（智慧型運輸系統）：市場佔有率分析、產業趨勢、統計數據和成長預測（2025-2030）

Intelligent Transport Systems - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計到 2025 年，ITS（智慧型運輸系統）市場規模將成長至 502.6 億美元，到 2030 年將成長至 778.3 億美元，複合年成長率為 9.40%。

智慧交通系統-市場-IMG1

城市人口不斷成長、擁塞成本不斷上升以及氣候目標的不斷強化，正推動城市實現交通營運數位化，並採用數據主導的出行編配。 5G 部署、低成本感測器和邊緣人工智慧 (AI) 賦能路口控制器、路側單元和汽車平臺，使其能夠以亞秒級而非固定的時間表運行。隨著各機構從資本密集、孤立的資產轉向基於雲端的訂閱式平台，這種轉變正在重新定義硬體、軟體和服務的經營模式。能夠將自適應分析與生命週期支援和網路安全連接相結合的供應商將有望抓住快速成長的機會。

全球ITS（智慧型運輸系統）市場趨勢與洞察

政府為智慧城市和 ITS 提供資金

公共資助計畫透過降低初始資本支出風險和標準化最佳實踐來加速採用。美國聯邦公路管理局承諾將在2025會計年度的ITS項目上投入8億美元，以實現更安全、更有效率的營運。一項平行的SMART撥款將在2026年之前每年撥款1億美元，用於試行數據驅動的社區旅行。歐盟的「地平線框架」和日本的「SIP計劃」中的類似計畫將統一測試平台、網路安全基準、開放資料政策，並縮短採購週期。隨著交叉路口、公車隊、停車資產和緊急走廊開始在通用架構下共用數據，協調一致的資金籌措將釋放出複合效益。這種模式實現了單一專案無法實現的採用曲線。

用於自適應控制的人工智慧邊緣處理

邊緣人工智慧將推理直接推送到路邊單元和車載電腦，將安全關鍵操作的延遲降低至50毫秒或更短。美國聯邦運輸管理局已累計4000萬美元用於尖端公共交通研發，包括低延遲交叉路口協調。自學習控制器可預測佇列長度並在擁塞發生前調整相位。邊緣框架還允許本地節點在中央雲鏈路發生故障的情況下維持交叉路口運行，從而提高了彈性。隨著時間的推移，這種分散式架構將支援車輛編隊行駛、協作感知和混合移動編配，標誌著智慧型運輸系統(ITS) 市場的一個重要曲折點。

資本投資及營運維護成本高

升級交叉路口套件、通訊主幹網和指揮中心需要多年的預算，許多市政當局難以組裝足夠的資金。即時自我調整系統的生命週期成本不僅限於安裝，還包括韌體更新、校準和備件。美國政府責任署 (GAO) 2023 年的一項研究發現，由於競標週期比技術更新週期更長，各機構通常會接受過時的硬體。官民合作關係和基於績效的合約是新的解決方案，但相關人員必須權衡回報與債務上限，尤其是在基礎設施優先事項相互競爭的情況下。

細分分析

目前，成熟的智慧型運輸管理系統正在推動ITS（智慧型運輸系統）市場規模的成長，預計2024年將佔全球營收的約32.21%。整合CCTV、環形偵測器和動態訊息牌使交通部門能夠疏導交通流量、降低碰撞率並協調事故回應。由於許多大都會圈已開始使用第一代平台，因此成長將保持穩定而非迅猛，但人工智慧預測和5G回程傳輸的升級將保持強勁的成長動能。

先進的公共運輸系統正以15.34%的複合年成長率高速成長，這得益於電動公車隊、帳戶票務和即時乘客資訊的推動。 Karsan安靜且配備感測器的電動公車展示了OEM創新如何與雲叫車技術結合，從而改善乘客體驗並減少排放。在歐洲和部分北美地區，整合的前端平台正在將時刻表遵守情況、運轉率和能源使用情況資料輸入多模態樞紐，預示著擁塞控制將從以車輛為中心轉變為以乘客為中心的網路組織模式。

感測和通訊硬體佔支出的40.19%，反映了為交叉路口、走廊和車隊配備可靠數據收集器所需的資金。攝影機、雷達、LiDAR和環境探測器創建了監控演算法所依賴的原始資料流。

雲端平台的複合年成長率高達 20.65%，各機構青睞按計量收費分析、數位雙胞胎視覺化和支援 API 的數據市場。 Iteris 的 ClearAsset 之所以具有吸引力，是因為它允許運輸團隊追蹤庫存、安排預防性保養，並評估資本升級的合理性，而無需維護現場伺服器。硬體診斷與無線韌體推送之間的緊密耦合確保了未來升級所需的現場工作更少，從而延長了組件壽命，並增強了整合堆疊在 ITS（智慧型運輸系統）市場中的價值。

區域分析

在成熟的通訊網路、聯邦津貼和早期試點部署的支持下，北美預計將在2024年佔全球收入的38.16%。國家V2X部署計畫的目標是到2036年涵蓋美國主要高速公路和7.5萬個交叉路口，為供應商和市政當局提供藍圖。美國聯邦通訊委員會最終分配的5.9 GHz頻段僅剩下30 MHz可用於C-V2X，因此對更有效率波形設計的呼聲日益高漲。一個跨行業論壇正在討論頻率、標準和責任問題。國防安全保障部建議在連網道路資產上統一實施5G保護。

亞太地區在該領域引領全球市場，到2030年的複合年成長率將達到11.54%。大規模都市化、智慧型手機普及率以及綠色城市要求正在推動中國、日本和韓國進行大規模試驗。台灣的「智慧城市台灣」計畫展現了全國性的叢集。地方政府將作為主要客戶，推動國內ICT公司從硬體供應轉型為整合軟體服務。當地試點走廊正在應用路邊5G MEC節點，以實現公分級定位和協同感知。隨著新興城鎮都市化地區跳過傳統階段，從第一天起就融入人工智慧邊緣邏輯，區域知識轉移加速了時間軸的壓縮。

歐洲繼續推動以脫碳目標為中心的統一法規。涵蓋雅典、里斯本、大曼徹斯特和雷恩的 TANGENT計劃強調了一個簡化多式聯運編配的資料互通性框架。零排放交通區和歐元式碳權計畫鼓勵城市量化減排多模態並為 ITS 部署開闢新的資金籌措管道。同時，在南美、中東和非洲，利雅德、拉各斯和聖地牙哥的待開發區計劃儘管起步較晚，透過將互聯走廊納入總體規劃，仍實現了兩位數的成長。技術轉移協議使本地整合商能夠採用成熟的架構，ITS（智慧型運輸系統）市場正在獲得真正的全球發展勢頭。

其他福利：

  • Excel 格式的市場預測 (ME) 表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概況
  • 市場促進因素
    • 緩解城市擁擠的需求
    • 政府為智慧城市和 ITS 提供資金
    • 物聯網和感測器成本下降
    • 用於自適應控制的人工智慧邊緣處理
    • MaaS 數據收益機會
    • 智慧交通系統碳權收益
  • 市場限制
    • 資金投入及維運成本高
    • 資料隱私與網路風險
    • 地方政府採購的人力資源缺口
    • 傳統 5G/V2X互通性問題
  • 價值/供應鏈分析
  • 監管狀況
  • 技術展望
  • 五力分析
    • 新進入者的威脅
    • 買方的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭
  • 投資/融資趨勢

第5章市場規模及成長預測

  • 依系統類型
    • 智慧型運輸管理系統
    • 先進的旅行者資訊系統
    • 智慧公共交通系統
    • 商用車營運
    • 智慧型運輸收費系統
  • 按組件
    • 硬體介面板
      • 感應器
      • 監視錄影機
    • 軟體平台
    • 通訊網路
    • 監測和檢測系統
  • 按用途
    • 車隊管理和資產監控
    • 交通監控和事件偵測
    • 交通號誌控制
    • 停車便利與引導
    • 交通執法及收費
    • 事故預防與安全系統
  • 按運輸方式
    • 路
    • 鐵路
    • 航空
    • 船運
  • 按部署模型
    • 本地部署
    • 雲/邊緣
  • 按最終用戶
    • 公共機構
    • 基礎設施公司和特許經營商
    • 商業車隊營運商
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 北美其他地區
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 西班牙
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 韓國
      • 其他亞太地區
    • 中東和非洲
      • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 其他中東地區
      • 非洲
      • 南非
      • 迦納
      • 奈及利亞
      • 其他非洲國家

第6章 競爭態勢

  • 市場集中度
  • 策略舉措
  • 市佔率分析
  • 公司簡介
    • Denso Corporation
    • Siemens AG
    • Kapsch TrafficCom AG
    • Thales Group
    • TomTom NV
    • Nokia Corporation
    • Cubic Corporation
    • Q-Free ASA
    • TransCore（Roper Tech.）
    • Iteris Inc.
    • Huawei Technologies Co. Ltd.
    • IBM Corporation
    • Cisco Systems Inc.
    • Hitachi Ltd.
    • Advantech Co. Ltd.
    • EFKON GmbH
    • SWARCO AG
    • Sensys Networks Inc.
    • Savari Inc.
    • Atkins（SNC-Lavalin）
    • Continental AG

第7章 市場機會與未來展望

簡介目錄
Product Code: 61379

The Intelligent transportation systems market stood at USD 50.26 billion in 2025 and is projected to advance to USD 77.83 billion by 2030, reflecting a brisk 9.40% CAGR.

Intelligent Transport Systems - Market - IMG1

Expanding urban populations, mounting congestion costs, and stepped-up climate targets are pushing cities to digitize traffic operations and embrace data-driven mobility orchestration. 5G roll-outs, low-cost sensors, and edge AI allow intersection controllers, roadside units, and fleet platforms to act on sub-second conditions instead of fixed schedules. This shift is redefining business models across hardware, software, and services as agencies pivot from capital-intensive, siloed assets to cloud-enabled, subscription-based platforms. Suppliers that can bundle adaptive analytics with lifecycle support and cyber-secure connectivity are positioned to capture the fastest-growing opportunities

Global Intelligent Transport Systems Market Trends and Insights

Government Smart-City and ITS Funding

Public funding programs accelerate deployments by de-risking early capital outlays and standardizing best practices. The Federal Highway Administration dedicated USD 800 million in the United States for the FY 2025 ITS Program to scale safer and more efficient operations. Parallel SMART Grants allocate USD 100 million annually through 2026 to pilot data-enabled community mobility. Similar schemes in the EU's Horizon framework and Japan's SIP initiative unify test beds, cybersecurity baselines, and open-data policies, shortening procurement cycles. Coordinated funding unlocks compounding benefits because intersections, bus fleets, parking assets, and emergency corridors start sharing data under common architectures. This pattern lifts adoption curves beyond what any single program could achieve.

AI Edge-Processing for Adaptive Control

Edge AI pushes inference directly into roadside units and on-board computers, slashing latency below 50 ms for safety-critical maneuvers. The Federal Transit Administration earmarked USD 40 million for cutting-edge public-transport R&D, including low-latency intersection coordination. Self-learning controllers predict queue lengths and adjust phases to prevent blockages before they form, while connected buses exchange priority requests in real time. Edge frameworks also improve resilience: local nodes keep intersections operational if the central cloud link fails. Over time, these distributed architectures will underpin vehicle platooning, cooperative perception, and mixed-mobility orchestration, marking a major inflection point for the intelligent transportation systems market

High Capex & O&M Costs

Intersection kits, communication backbones, and command-center upgrades demand multi-year budgeting that many municipalities struggle to assemble. Real-time adaptive systems carry life-cycle costs that extend far beyond installation, covering firmware updates, calibration, and spare parts. Procurement delays compound the burden: a 2023 GAO investigation found agencies often accept outdated hardware because tender cycles outlast technology refresh cadences. Public-private partnerships and performance-based contracts are emerging countermeasures, but stakeholders still weigh paybacks against debt ceilings, especially where competing social-infrastructure priorities exist.

Other drivers and restraints analyzed in the detailed report include:

  1. Urban Congestion Mitigation Demand
  2. Falling IoT and Sensor Costs
  3. Data Privacy and Cyber-Risk Exposure

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

Segment Analysis

Mature Advanced Traffic Management Systems currently underpin the intelligent transportation systems market size, holding roughly 32.21% of global revenue in 2024. Integrated CCTV, loop detectors, and dynamic message signs enable agencies to smooth traffic flow, lower crash rates, and coordinate incident response. Growth is steady rather than spectacular because many metropolitan areas already operate first-generation platforms, yet upgrades around AI prediction and 5G backhaul sustain a solid pipeline.

Advanced Public Transportation Systems now record the fastest climb - 15.34% CAGR-driven by electrified bus fleets, account-based ticketing, and real-time passenger information. Karsan's quiet, sensor-laden e-buses illustrate how OEM innovation converges with cloud dispatch to elevate rider experience while slashing emissions. Across Europe and select North American corridors, integrated head-end platforms feed schedule adherence, occupancy, and energy-use data into multimodal hubs, heralding the shift from car-centric congestion control toward rider-centric network orchestration.

Sensing and communications hardware still accounts for 40.19% of spending, reflecting the capital needed to equip intersections, corridors, and fleets with reliable data collectors. Cameras, radar, lidar, and environmental probes create the raw streams that supervisory algorithms depend on.

Yet the center of gravity is moving: cloud platforms post a 20.65% CAGR as agencies favor pay-as-you-go analytics, digital twin visualization, and API-ready data marketplaces. Iteris' ClearAsset illustrates the appeal-transportation teams can track inventories, schedule preventive maintenance, and justify funding renewals without maintaining servers on-site. Tighter coupling between hardware diagnostics and over-the-air firmware pushes ensures that future upgrades require less fieldwork, prolonging component life and reinforcing the value of integrated stacks within the intelligent transportation systems market.

The Intelligent Transportation System Market Report is Segmented by System Type (Advanced Traffic Management Systems, and More), Component (Hardware Interface Boards, and More), Application (Fleet Management and Asset Monitoring, and More), Transport (Roadways, and More), Deployment Mode (On-Premise and Cloud), End-User, and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America commanded 38.16% of global revenue in 2024, supported by mature telecom networks, federal grants, and early pilot adoption. The National V2X Deployment Plan aims to outfit major U.S. corridors and 75,000 intersections by 2036, setting a roadmap for suppliers and municipalities. Cross-industry forums tackle spectrum, standards, and liability, even as the FCC's final 5.9 GHz allocation leaves only 30 MHz for C-V2X and provokes calls for more efficient waveform design. Cybersecurity remains high on city agendas; the Department of Homeland Security advises uniform 5G protections across connected road assets.

Asia-Pacific is pacing the global field with an 11.54% CAGR to 2030. Massive urbanization, smartphone ubiquity, and green-city mandates propel extensive trials in China, Japan, and South Korea. Taiwan's "Smart City Taiwan" policy illustrates state-enabled clustering: local governments become anchor customers, lifting domestic ICT firms from hardware supply to integrated software services. Mainland pilot corridors apply roadside 5G MEC nodes for centimeter-level positioning and cooperative perception. Regional knowledge transfer accelerates timeline compression, as newly urbanizing areas skip legacy phases and incorporate AI edge logic from day one.

Europe sustains a cohesive regulatory push anchored in decarbonization goals. The TANGENT project, covering Athens, Lisbon, Greater Manchester, and Rennes, spotlights data-interoperability frameworks that streamline multimodal orchestration. Zero-emission transport zones and Euro-style carbon-credit schemes spur cities to quantify avoidance metrics, opening new funding channels for ITS deployments. Meanwhile, South America, the Middle East, and Africa start from smaller bases but log double-digit growth as greenfield smart-city projects in Riyadh, Lagos, and Santiago bake connected corridors into master plans. Technology transfer agreements allow local integrators to adapt proven architectures, ensuring that the intelligent transportation systems market gains truly global momentum.

  1. Denso Corporation
  2. Siemens AG
  3. Kapsch TrafficCom AG
  4. Thales Group
  5. TomTom N.V.
  6. Nokia Corporation
  7. Cubic Corporation
  8. Q-Free ASA
  9. TransCore (Roper Tech.)
  10. Iteris Inc.
  11. Huawei Technologies Co. Ltd.
  12. IBM Corporation
  13. Cisco Systems Inc.
  14. Hitachi Ltd.
  15. Advantech Co. Ltd.
  16. EFKON GmbH
  17. SWARCO AG
  18. Sensys Networks Inc.
  19. Savari Inc.
  20. Atkins (SNC-Lavalin)
  21. Continental AG

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 Urban congestion mitigation demand
    • 4.2.2 Government smart-city and ITS funding
    • 4.2.3 Falling IoT and sensor costs
    • 4.2.4 AI edge-processing for adaptive control
    • 4.2.5 MaaS data-monetisation opportunities
    • 4.2.6 Carbon-credit monetisation for ITS
  • 4.3 Market Restraints
    • 4.3.1 High capex and Operations and Maintenance costs
    • 4.3.2 Data privacy and cyber-risk exposure
    • 4.3.3 Municipal procurement talent gap
    • 4.3.4 Legacy-5G/V2X interoperability issues
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Investment and Funding Trends

5 Market Size and Growth Forecasts (Value (USD))

  • 5.1 By System Type
    • 5.1.1 Advanced Traffic Management Systems
    • 5.1.2 Advanced Traveler Information Systems
    • 5.1.3 Advanced Public Transportation Systems
    • 5.1.4 Commercial Vehicle Operations
    • 5.1.5 Advanced Transportation Pricing/Revenue Systems
  • 5.2 By Component
    • 5.2.1 Hardware Interface Boards
      • 5.2.1.1 Sensors
      • 5.2.1.2 Surveillance Cameras
    • 5.2.2 Software Platforms
    • 5.2.3 Communications Networks
    • 5.2.4 Monitoring and Detection Systems
  • 5.3 By Application
    • 5.3.1 Fleet Management and Asset Monitoring
    • 5.3.2 Traffic Monitoring and Incident Detection
    • 5.3.3 Traffic Signal Control
    • 5.3.4 Parking Convenience and Guidance
    • 5.3.5 Traffic Enforcement and Tolling
    • 5.3.6 Accident Avoidance and Safety Systems
  • 5.4 By Transportation Mode
    • 5.4.1 Roadways
    • 5.4.2 Railways
    • 5.4.3 Aviation
    • 5.4.4 Maritime
  • 5.5 By Deployment Model
    • 5.5.1 On-Premise
    • 5.5.2 Cloud / Edge
  • 5.6 By End-User
    • 5.6.1 Public Sector Authorities
    • 5.6.2 Infrastructure Enterprises and Concessionaires
    • 5.6.3 Commercial Fleet Operators
  • 5.7 By Geography
    • 5.7.1 North America
      • 5.7.1.1 United States
      • 5.7.1.2 Canada
      • 5.7.1.3 Rest of North America
    • 5.7.2 South America
      • 5.7.2.1 Brazil
      • 5.7.2.2 Argentina
      • 5.7.2.3 Rest of South America
    • 5.7.3 Europe
      • 5.7.3.1 Germany
      • 5.7.3.2 United Kingdom
      • 5.7.3.3 France
      • 5.7.3.4 Italy
      • 5.7.3.5 Spain
      • 5.7.3.6 Rest of Europe
    • 5.7.4 Asia-Pacific
      • 5.7.4.1 China
      • 5.7.4.2 Japan
      • 5.7.4.3 India
      • 5.7.4.4 South Korea
      • 5.7.4.5 Rest of Asia-Pacific
    • 5.7.5 Middle East and Africa
      • 5.7.5.1 Middle East
      • 5.7.5.1.1 Saudi Arabia
      • 5.7.5.1.2 United Arab Emirates
      • 5.7.5.1.3 Rest of Middle East
      • 5.7.5.2 Africa
      • 5.7.5.2.1 South Africa
      • 5.7.5.2.2 Ghana
      • 5.7.5.2.3 Nigeria
      • 5.7.5.2.4 Rest of 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, and Recent Developments)
    • 6.4.1 Denso Corporation
    • 6.4.2 Siemens AG
    • 6.4.3 Kapsch TrafficCom AG
    • 6.4.4 Thales Group
    • 6.4.5 TomTom N.V.
    • 6.4.6 Nokia Corporation
    • 6.4.7 Cubic Corporation
    • 6.4.8 Q-Free ASA
    • 6.4.9 TransCore (Roper Tech.)
    • 6.4.10 Iteris Inc.
    • 6.4.11 Huawei Technologies Co. Ltd.
    • 6.4.12 IBM Corporation
    • 6.4.13 Cisco Systems Inc.
    • 6.4.14 Hitachi Ltd.
    • 6.4.15 Advantech Co. Ltd.
    • 6.4.16 EFKON GmbH
    • 6.4.17 SWARCO AG
    • 6.4.18 Sensys Networks Inc.
    • 6.4.19 Savari Inc.
    • 6.4.20 Atkins (SNC-Lavalin)
    • 6.4.21 Continental AG

7 Market Opportunities and Future Outlook

  • 7.1 White-space and Unmet-Need Assessment