지능형 교통 시스템 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the intelligent transport systems market size is expected to increase from USD 47.01 billion in 2025 to USD 52.60 billion in 2026 and reach USD 83.10 billion by 2031, growing at a CAGR of 9.58% over 2026-2031.

This report is Segmented by Mode of Transport (Roadways, Railways, and More), Component (Hardware, Software, and More), Type (ATMS, ATIS, and More), Application (Traffic Management, and More), Deployment Mode (On-Premise, Cloud, and More), Technology (IoT Sensors and V2X, AI and Machine-Learning Analytics, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Intelligent Transport Systems Market Trends and Insights

Government Smart-City and Traffic-Safety Funding Surge

Federal and supranational programmes are directing unprecedented sums into connected-corridor build-outs. The U.S. Department of Transportation awarded USD 54 million in SMART grants during 2024 alone, aiming to shift agencies from reactive timing plans to predictive, AI-assisted flow control. In parallel, the EU's Digital Europe Programme has earmarked EUR 7.5 billion through 2027 for digital infrastructure, with intelligent transportation systems tagged as a centerpiece because they cut emissions while lifting competitiveness. State-level executions such as Arizona's USD 19.6 million V2X corridor prove how quickly funds translate into assets that produce monetisable data. Contract award cycles that once stretched five years now close inside two, rewarding vendors that package turnkey analytics with shovel-ready hardware. Early adopters gain durable first-mover advantages by harvesting data streams before peer regions possess equivalent sensor density.

Escalating Urban Congestion Demanding ATMS Roll-outs

Daily gridlock has turned advanced traffic management systems from nice-to-have to fiscal necessity. An audit in Anne Arundel County, Maryland found a single busy junction costs users USD 324,000 in lost time and USD 48,000 in excess fuel each year, catalysing rapid ATMS procurement. Beijing's vehicle-road-cloud program has shaved 15% off average trip times across 1,200 intersections, compelling rival megacities to follow suit. Boston's AI-enabled signal adjustments removed 30% of stops at major downtown nodes, showing that legacy controllers can be repurposed via software rather than rebuilt in concrete. Escalating steel and asphalt prices, highway construction costs rose 24% in 2024-leave software optimisation as the only viable congestion remedy for budget-constrained agencies.

High Capex and Legacy Infrastructure Retrofit Costs

Annual highway construction cost inflation reached 24% in 2024, eroding the real value of earmarked budgets and pushing agencies to defer non-critical upgrades. Steel prices rose 11.2%, dampening the purchasing power of the Bipartisan Infrastructure Law by roughly 40%, according to the American Iron and Steel Institute. Large-scale retrofits like Copenhagen's EUR 80 million smart-lighting project still demand multi-year paybacks that municipal bond markets struggle to underwrite. Consequently, many agencies pivot to incremental, software-first deployments that extend the life of analogue cabinets instead of wholesale controller swaps. Integration fees often eclipse device prices, forcing procurement offices to spread modernisation across several fiscal cycles and delaying system-wide performance gains.

Other drivers and restraints analyzed in the detailed report include:

1. Mandatory Road-Safety Regulations (e-Call, ADAS Integration)
2. Edge-Native AI Digital Twins Enabling Real-Time Flow Optimisation
3. Rising Cybersecurity-Liability Compliance Costs

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

Segment Analysis

The maritime segment captured just 6.35% of Intelligent Transportation Systems market revenue in 2025 but posts the fastest 12.86% CAGR as ports deploy automation, digital twins, and autonomous tugs. Roadways retained 61.45% share, equivalent to the largest slice of the Intelligent Transportation Systems market size, supported by national safety programmes. Investments in quay cranes fitted with AI vision and 5G links improve berth throughput and synchronise with trucking fleets, cutting container dwell time by 20%. EHang's EH216 S autonomous air-taxi rollout illustrates how airways leapfrog ground bottlenecks, although the sub-sector remains nascent. Railways benefit from right-of-way control; U.S. freight operators reduced locomotive failures 40% via edge analytics that flag defects hours before breakdowns.

Looking ahead, cross-modal orchestration aligns sailing schedules with rail slots and truck dispatch, raising asset utilisation system-wide. The Intelligent Transportation Systems market increasingly rewards solutions that model maritime, rail, and road flows in a single data fabric. China's port cloud platforms already integrate yard cranes, gate cameras, and customs databases, foreshadowing global adoption. Roadway projects now pilot C-V2X intersections that broadcast signal timing to heavy-duty trucks, reducing idle fuel. Collectively, these trends shift funding toward software layers that balance freight among modes, lessening peak-hour congestion and emissions.

Hardware still represented 48.55% revenue in 2025, yet software's 13.84% CAGR signals a profound pivot. Agencies value flexible licensing that keeps pace with evolving safety standards, pushing perpetual-license controllers aside. Services, consulting, integration, and managed cybersecurity, expand fastest inside the software bundle, reflecting a need for continuous optimisation rather than periodic box swaps. The Intelligent Transportation Systems market share for hardware will erode as IoT nodes commoditise; roadside units become simple data collectors feeding AI pipelines.

Vendors now bundle analytics dashboards with firmware updates, converting one-time transactions into annuities. Edge containers allow over-the-air deployment of new algorithms that lengthen hardware life and lower total cost of ownership, a key selling point amid budget squeezes. As modular gateways replace monolithic cabinets, procurement shifts from capital outlay to operating-expenditure models akin to SaaS. The outcome is a virtuous cycle: recurring revenue funds R&D that in turn raises system performance, deepening customer dependence on the platform.

Geography Analysis

North America contributed 27.65% of Intelligent Transportation Systems market revenue in 2025. Federal grants, such as the USD 62 billion connected-vehicle earmark for fiscal 2025, stabilise pipeline visibility and spark state-level copycat projects. Arizona's USD 19.6 million V2X corridor demonstrates replicable ROI, while Texas DOT's C-V2X intersection trials position the region as a leader in infrastructure-vehicle fusion. Municipal pilots also layer social goals: Albuquerque's micro-transit service links food deserts to grocers, showing how data-rich systems tackle equity gaps. Clear liability frameworks and deep venture capital pools pull edge-AI startups into public-sector tenders, accelerating rollouts versus regions with opaque rules.

Asia Pacific is the fastest-growing region at a 10.16% CAGR through 2031. Megacity congestion and state backing for digital economy goals push aggressive deployment timetables. China's EHang EH216 S autonomous flying-taxi fleet, cleared for passenger service, underscores regulatory agility in advanced air mobility. Beijing's 1,200-intersection vehicle-road-cloud scheme trimmed travel time 15% and now anchors national standards. Singapore's SGD 1 billion AI reserve and China's 20 million NEV target by 2025 give suppliers predictable demand curves. Robotaxi partnerships scaling beyond pilot fleets, Pony AI's 1,000-vehicle pact in Shenzhen, validate commercialisation pathways and pump data volumes that feed analytics engines.

Europe sustains steady expansion under harmonised safety and climate legislation. The General Safety Regulation II mandates ADAS equipment, compelling roadsides to exchange data with next-generation fleets. Copenhagen's EUR 80 million smart-lighting retrofit achieved 55% energy savings, revealing how ITS budgets align with carbon targets. EU Digital Europe funds of EUR 7.5 billion through 2027 ensure capital availability for digital twin pilots and cross-border corridors. Siemens Mobility's multibillion Euro Deutsche Bahn contract exemplifies turnkey platform purchasing over piecemeal upgrades, while stringent GDPR and AI-transparency rules moderate adoption speed yet raise public trust, fostering durable market adoption.

1. Siemens AG
2. Thales Group
3. IBM Corporation
4. Garmin Ltd.
5. NoTraffic
6. TomTom N.V.
7. Cubic Corporation
8. Mobileye
9. Applied Information
10. Denso Corporation
11. Cisco Systems Inc.
12. Kapsch TrafficCom AG
13. Huawei Technologies Co. Ltd.
14. Iteris Inc.
15. Q-Free ASA
16. Swarco AG
17. TransCore LP
18. Advantech Co. Ltd.
19. Continental AG
20. Siemens Mobility (Yunex Traffic)
21. AtkinsRealis
22. Econolite Group 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-city and traffic-safety funding surge
  • 4.2.2 Escalating urban congestion demanding ATMS roll-outs
  • 4.2.3 Mandatory road-safety regulations (e-Call, ADAS integration)
  • 4.2.4 Edge-native AI digital twins enabling real-time flow optimisation
  • 4.2.5 Integration of EV-charging assets with ITS platforms
  • 4.2.6 Data-monetisation models from connected-vehicle analytics
• 4.3 Market Restraints
  • 4.3.1 High capex and legacy infrastructure retrofit costs
  • 4.3.2 Interoperability and standards fragmentation across regions
  • 4.3.3 Rising cybersecurity-liability compliance costs
  • 4.3.4 AI-algorithm transparency rules slowing advanced deployments
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 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 Rivalry
• 4.8 Investment Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Mode of Transport
  • 5.1.1 Roadways
  • 5.1.2 Railways
  • 5.1.3 Airways
  • 5.1.4 Maritime
• 5.2 By Component
  • 5.2.1 Hardware
  • 5.2.2 Software
  • 5.2.3 Services
• 5.3 By Type
  • 5.3.1 Advanced Traffic Management Systems (ATMS)
  • 5.3.2 Advanced Traveler Information Systems (ATIS)
  • 5.3.3 Advanced Transportation Pricing Systems (ATPS)
  • 5.3.4 Advanced Public Transportation Systems (APTS)
  • 5.3.5 Advanced Commercial Vehicle Operations (ACVOS)
  • 5.3.6 Cooperative Vehicle-Infrastructure Systems (CVIS)
• 5.4 By Application
  • 5.4.1 Traffic Management
  • 5.4.2 Public Transport and Ticketing
  • 5.4.3 Road Safety and Security
  • 5.4.4 Freight and Fleet Management
  • 5.4.5 Environmental and Emission Monitoring
  • 5.4.6 Smart Parking and Guidance
  • 5.4.7 Tolling and Congestion Pricing
  • 5.4.8 Connected and Autonomous Vehicle (CAV) Support
  • 5.4.9 Other Applications
• 5.5 By Deployment Mode
  • 5.5.1 On-Premise
  • 5.5.2 Cloud
  • 5.5.3 Edge / Fog
• 5.6 By Technology
  • 5.6.1 IoT Sensors and V2X
  • 5.6.2 AI and Machine-Learning Analytics
  • 5.6.3 Digital Twin Platforms
  • 5.6.4 5G and C-V2X Connectivity
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 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 South Korea
    • 5.7.4.4 India
    • 5.7.4.5 Rest of Asia-Pacific
  • 5.7.5 Middle East
    • 5.7.5.1 Saudi Arabia
    • 5.7.5.2 United Arab Emirates
    • 5.7.5.3 Turkey
    • 5.7.5.4 Rest of Middle East
  • 5.7.6 Africa
    • 5.7.6.1 South Africa
    • 5.7.6.2 Nigeria
    • 5.7.6.3 Egypt
    • 5.7.6.4 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 Siemens AG
  • 6.4.2 Thales Group
  • 6.4.3 IBM Corporation
  • 6.4.4 Garmin Ltd.
  • 6.4.5 NoTraffic
  • 6.4.6 TomTom N.V.
  • 6.4.7 Cubic Corporation
  • 6.4.8 Mobileye
  • 6.4.9 Applied Information
  • 6.4.10 Denso Corporation
  • 6.4.11 Cisco Systems Inc.
  • 6.4.12 Kapsch TrafficCom AG
  • 6.4.13 Huawei Technologies Co. Ltd.
  • 6.4.14 Iteris Inc.
  • 6.4.15 Q-Free ASA
  • 6.4.16 Swarco AG
  • 6.4.17 TransCore LP
  • 6.4.18 Advantech Co. Ltd.
  • 6.4.19 Continental AG
  • 6.4.20 Siemens Mobility (Yunex Traffic)
  • 6.4.21 AtkinsRealis
  • 6.4.22 Econolite Group Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment