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시장보고서
상품코드
2038728
지능형 교통시스템(ITS) 시장 : 시장 기회, 성장요인, 업계 동향 분석 및 예측(2026-2035년)Intelligent Transportation System (ITS) Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035 |
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세계의 지능형 교통시스템(ITS) 시장은 2025년에 504억 달러로 평가되었고, CAGR 10.7%로 성장할 전망이며, 2035년까지 1,353억 달러에 이를 것으로 예측됩니다.
도시 지역에서 보다 스마트한 모빌리티 솔루션과 디지털 인프라의 업그레이드가 우선시되는 가운데, 지능형 교통 시스템(ITS) 시장은 강력한 모멘텀을 보이고 있습니다. 민관 협력적 자금 조달 모델을 통한 재정 지원의 확대로 도입 리스크를 줄이면서 대규모 보급이 가속화되고 있습니다. 원활한 비접촉식 이동 경험에 대한 수요가 증가함에 따라 디지털 요금 시스템 및 유연한 결제 솔루션의 도입이 증가하고 있습니다. 각국 정부는 첨단 교통 기술을 통해 교통 효율을 높이고, 교통 체증을 완화하며, 도로의 안전성을 향상시키기 위해 적극적으로 규제 체계를 도입하고 있습니다. 교통 네트워크 현대화에 대한 투자는 지능형 모니터링 및 통신 시스템의 통합에 힘입어 도입을 더욱 촉진하고 있습니다. 인공지능의 등장은 예측 분석과 실시간 최적화를 통해 교통 관리를 변화시키고 있으며, 도시가 교통 체증을 보다 효과적으로 관리할 수 있도록 돕고 있습니다. 또한, 진화하는 요금 징수 프레임워크는 교통 흐름을 조정하고 수익 창출을 강화하도록 설계된 동적 가격 책정 모델로 이동하고 있습니다. 이러한 추세와 맞물려 지능형 교통 시스템(ITS) 시장은 지속적인 장기 성장 궤도에 올라서고 있습니다.
| 시장 범위 | |
|---|---|
| 개시 연도 | 2025년 |
| 예측 기간 | 2026-2035년 |
| 개시 연도 시장 규모 | 504억 달러 |
| 예측 시장 규모 | 1,353억 달러 |
| CAGR | 10.7% |
철도 부문은 2025년 41%의 점유율을 차지했으며, 2035년까지 연평균 복합 성장률(CAGR) 12.1%를 나타낼 것으로 예측됩니다. 전 세계적으로 전기화 노력과 네트워크 확장이 진행됨에 따라 이 부문은 계속 확대되고 있습니다. 철도 인프라에 대한 지속적인 투자가 효율성 향상과 수송능력 확대를 뒷받침하고 있습니다. 고도화된 모니터링 시스템 및 예지보전 기술 도입으로 자산의 효율적 활용과 운영 성능이 향상되어 시스템 전체의 신뢰도 향상에 기여하고 있습니다.
하드웨어 부문은 2025년 43.8%의 점유율을 차지했으며, 2026-2035년 연평균 복합 성장률(CAGR) 10.5%로 성장할 것으로 전망됩니다. 이 부문의 성장은 고성능 컴퓨팅 부품, 에너지 절약형 프로세서, 커넥티드 디바이스의 도입 확대에 힘입어 성장세를 보이고 있습니다. 엣지 컴퓨팅과 센서 통합의 발전으로 실시간 데이터 처리 능력이 강화되는 한편, 디지털 인프라의 확장은 확장 가능하고 효율적인 교통 네트워크를 뒷받침하고 있습니다.
미국의 지능형 교통 시스템(ITS) 시장은 2025년 161억 달러에 달했습니다. 도시들이 인공지능(AI)과 데이터 분석을 활용한 첨단 교통 관리 솔루션을 도입함에 따라 시장이 확대되고 있습니다. 모빌리티의 효율성과 교통체증 완화에 초점을 맞춘 지자체의 노력이 도입을 촉진하고 있습니다. 첨단 통신 기술이 뒷받침하는 커넥티드 교통 생태계의 발전으로 차량, 인프라, 도시 시스템 간의 연계가 강화되고 있습니다.
자주 묻는 질문
목차
제1장 조사 방법
제2장 주요 요약
제3장 업계 인사이트
제4장 경쟁 구도
제5장 시장 추산 및 예측 : 운송 수단별(2022-2035년)
제6장 시장 추산 및 예측 : 컴포넌트별(2022-2035년)
제7장 시장 추산 및 예측 : 시스템별(2022-2035년)
제8장 시장 추산 및 예측 : 용도별(2022-2035년)
제9장 시장 추산 및 예측 : 지역별(2022-2035년)
제10장 기업 개요
AJYThe Global Intelligent Transportation System Market was valued at USD 50.4 billion in 2025 and is estimated to grow at a CAGR of 10.7% to reach USD 135.3 billion by 2035.
The intelligent transportation system market is witnessing strong momentum as urban areas prioritize smarter mobility solutions and digital infrastructure upgrades. Increasing financial support through collaborative funding models between public and private entities is accelerating large-scale deployment while reducing implementation risks. Rising demand for seamless and contactless travel experiences is encouraging the adoption of digital fare systems and flexible payment solutions. Governments are actively introducing regulatory frameworks to enhance traffic efficiency, reduce congestion, and improve road safety through advanced transportation technologies. Investments in modernizing transportation networks are further driving adoption, supported by the integration of intelligent monitoring and communication systems. The emergence of artificial intelligence is transforming traffic management through predictive analytics and real-time optimization, enabling cities to manage congestion more effectively. Additionally, evolving tolling frameworks are shifting toward dynamic pricing models designed to regulate traffic flow and enhance revenue generation. These developments collectively position the intelligent transportation system market for sustained long-term growth.
| Market Scope | |
|---|---|
| Start Year | 2025 |
| Forecast Year | 2026-2035 |
| Start Value | $50.4 Billion |
| Forecast Value | $135.3 Billion |
| CAGR | 10.7% |
The rail segment accounted for 41% share in 2025 and is expected to grow at a CAGR of 12.1% through 2035. The segment continues to expand as electrification initiatives and network enhancements gain traction globally. Ongoing investments in rail infrastructure are supporting efficiency improvements and capacity expansion. The adoption of advanced monitoring systems and predictive maintenance technologies is enabling better asset utilization and operational performance, contributing to overall system reliability.
The hardware segment held a share of 43.8% in 2025 and is anticipated to grow at a CAGR of 10.5% from 2026 to 2035. Growth in this segment is driven by increasing deployment of high-performance computing components, energy-efficient processors, and connected devices. Advancements in edge computing and sensor integration are strengthening real-time data processing capabilities, while expanding digital infrastructure is supporting scalable and efficient transportation networks.
U.S. Intelligent Transportation System Market reached USD 16.1 billion in 2025. The market is expanding as cities implement advanced traffic management solutions powered by artificial intelligence and data analytics. Municipal initiatives focused on improving mobility efficiency and reducing congestion are driving adoption. The development of connected transportation ecosystems, supported by enhanced communication technologies, is enabling better coordination between vehicles, infrastructure, and urban systems.
Key companies operating in the Global Intelligent Transportation System Market include Kapsch TrafficCom, Siemens Mobility, Conduent, Cubic Transportation Systems, Indra Sistemas, Iteris, SWARCO, Thales, TomTom, and Yunex Traffic. Companies in the intelligent transportation system market are focusing on innovation, partnerships, and digital transformation to strengthen their market position. Investments in artificial intelligence, data analytics, and cloud-based platforms are enabling more advanced and scalable solutions. Strategic collaborations with government agencies and infrastructure developers are helping companies secure long-term projects and expand their global footprint. Firms are also prioritizing the development of integrated mobility platforms that enhance user experience and operational efficiency. Continuous advancements in hardware and software capabilities, along with the adoption of smart city initiatives, are supporting product differentiation.
Table of Contents
Chapter 1 Methodology
- 1.1 Research approach
- 1.2 Quality commitments
- 1.3 GMI AI policy & data integrity commitment
- 1.4 Research trail & confidence scoring
- 1.4.1 Research trail components
- 1.4.2 Scoring components
- 1.5 Data collection
- 1.5.1 Partial list of primary sources
- 1.6 Data mining sources
- 1.6.1 Paid sources
- 1.7 Base estimates and calculations
- 1.7.1 Base year calculation
- 1.8 Forecast model
- 1.9 Research transparency addendum
Chapter 2 Executive Summary
- 2.1 Industry 360° synopsis
- 2.2 Key market trends
- 2.2.1 Regional
- 2.2.2 Mode of transport
- 2.2.3 Component
- 2.2.4 System
- 2.2.5 Application
- 2.3 TAM analysis, 2026-2035
- 2.4 CXO perspectives: Strategic imperatives
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.1.1 Supplier landscape
- 3.1.2 Profit margin
- 3.1.3 Cost structure
- 3.1.4 Value addition at each stage
- 3.1.5 Factor affecting the value chain
- 3.1.6 Disruptions
- 3.2 Industry impact forces
- 3.2.1 Growth drivers
- 3.2.1.1 Government funding and PPP models
- 3.2.1.2 Demand for Pay-as-you-go ticketing service among commuters in Europe and North America
- 3.2.1.3 Rise in favorable government initiatives for effective traffic management in North America and Asia Pacific
- 3.2.1.4 Growing investment in railway infrastructure in Europe
- 3.2.2 Industry pitfalls and challenges
- 3.2.2.1 Integration complexities with legacy systems
- 3.2.2.2 High cost of maritime equipment
- 3.2.3 Market opportunities
- 3.2.3.1 Smart city expansion
- 3.2.3.2 Ai & predictive analytics integration
- 3.2.3.3 Connected & autonomous vehicle ecosystem
- 3.2.3.4 Public-private partnerships (PPP) & infrastructure funding
- 3.2.1 Growth drivers
- 3.3 Growth potential analysis
- 3.4 Technology and innovation landscape
- 3.4.1 Current technological trends
- 3.4.2 Emerging technologies
- 3.5 Pricing analysis (Driven by Primary Research)
- 3.5.1 Historical price trend analysis
- 3.5.2 Pricing strategy by player type (premium / value / cost-plus)
- 3.6 Regulatory landscape
- 3.6.1 North America
- 3.6.1.1 Federal Communications Commission (FCC)
- 3.6.1.2 Innovation, Science and Economic Development Canada (ISED)
- 3.6.2 Europe
- 3.6.2.1 European Commission - DG CONNECT
- 3.6.2.2 Body of European Regulators for Electronic Communications (BEREC)
- 3.6.3 Asia Pacific
- 3.6.3.1 Ministry of Industry and Information Technology (MIIT), China
- 3.6.3.2 Telecom Regulatory Authority of India (TRAI)
- 3.6.4 Latin America
- 3.6.4.1 Agencia Nacional de Telecomunicacoes (ANATEL), Brazil
- 3.6.4.2 Instituto Federal de Telecomunicaciones (IFT), Mexico
- 3.6.5 Middle East & Africa
- 3.6.5.1 Communications and Information Technology Commission (CITC), Saudi Arabia
- 3.6.5.2 Independent Communications Authority of South Africa (ICASA)
- 3.6.1 North America
- 3.7 Porter's analysis
- 3.8 PESTEL analysis
- 3.9 Cost breakdown analysis
- 3.10 Patent analysis (Driven by Primary Research)
- 3.11 Trade data analysis (Driven by paid database)
- 3.11.1 Import/export volume & value trends
- 3.11.2 Key trade corridors & tariff impact
- 3.12 Impact of AI & Generative AI on the Market
- 3.12.1 AI-driven disruption of existing business models
- 3.12.2 Gen AI use cases & adoption roadmap by segment
- 3.12.3 Risks, limitations & regulatory considerations
- 3.13 Sustainability and environmental aspects
- 3.13.1 Sustainable practices
- 3.13.2 Waste reduction strategies
- 3.13.3 Energy efficiency in production
- 3.13.4 Eco-friendly initiatives
- 3.13.5 Carbon footprint considerations
- 3.14 Forecast assumptions & scenario analysis (Driven by primary research)
- 3.14.1 Base Case - key macro & industry variables driving CAGR
- 3.14.2 Optimistic Scenarios - Favorable macro and industry tailwinds
- 3.14.3 Pessimistic Scenario - Macroeconomic slowdown or industry headwinds
Chapter 4 Competitive Landscape, 2025
- 4.1 Introduction
- 4.2 Company market share analysis
- 4.2.1 North America
- 4.2.2 Europe
- 4.2.3 Asia Pacific
- 4.2.4 LATAM
- 4.2.5 MEA
- 4.3 Competitive analysis of major market players
- 4.4 Competitive positioning matrix
- 4.5 Key developments
- 4.5.1 Mergers & acquisitions
- 4.5.2 Partnerships & collaborations
- 4.5.3 New product launches
- 4.5.4 Expansion plans and funding
Chapter 5 Market Estimates & Forecast, By Mode of Transport, 2022 - 2035 ($Mn)
- 5.1 Key trends
- 5.2 Rail
- 5.3 Road
- 5.4 Air
- 5.5 Marine
Chapter 6 Market Estimates & Forecast, By Component, 2022 - 2035 ($Mn)
- 6.1 Key trends
- 6.2 Hardware
- 6.2.1 Telecommunication networks
- 6.2.2 Interface boards
- 6.2.3 Sensors
- 6.2.4 Monitoring & detection systems
- 6.2.5 Surveillance cameras
- 6.2.6 Others
- 6.3 Software
- 6.3.1 Visualization software
- 6.3.2 Video detection management software
- 6.3.3 Transit management system
- 6.3.4 Traffic analytics & AI platforms
- 6.3.5 Others
- 6.4 Services
- 6.4.1 Professional services
- 6.4.2 Managed services
Chapter 7 Market Estimates & Forecast, By System, 2022 - 2035 ($Mn)
- 7.1 Key trends
- 7.2 Advanced Traffic Management System (ATMS)
- 7.3 Advanced Traveler Information System (ATIS)
- 7.4 Advanced Transportation Pricing System (ATPS)
- 7.5 Advanced Public Transport System (APTS)
- 7.6 Advanced Rural Transportation System (ARTS)
- 7.7 Commercial Vehicle Operation (CVO)
Chapter 8 Market Estimates & Forecast, By Application, 2022 - 2035 ($Mn)
- 8.1 Key trends
- 8.2 Traffic management
- 8.3 Fleet management & asset monitoring
- 8.4 Smart ticketing
- 8.5 Public transport & passenger information
- 8.6 Road safety & security
- 8.7 Smart parking & guidance
- 8.8 Tolling & congestion pricing
- 8.9 Environmental & emission monitoring
- 8.10 Connected & autonomous vehicle (CAV) support
- 8.11 Others
Chapter 9 Market Estimates & Forecast, By Region, 2022 - 2035 ($Mn)
- 9.1 Key trends
- 9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
- 9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Nordics
- 9.3.7 Russia
- 9.3.8 Poland
- 9.3.9 Romania
- 9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Vietnam
- 9.4.7 Indonesia
- 9.4.8 Philippines
- 9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
- 9.6 MEA
- 9.6.1 South Africa
- 9.6.2 Saudi Arabia
- 9.6.3 UAE
Chapter 10 Company Profiles
- 10.1 Global players
- 10.1.1 Cisco Systems
- 10.1.2 Conduent
- 10.1.3 Cubic Transportation Systems
- 10.1.4 Hitachi
- 10.1.5 IBM
- 10.1.6 Indra Sistemas
- 10.1.7 Kapsch TrafficCom
- 10.1.8 NEC Corporation
- 10.1.9 Siemens Mobility
- 10.1.10 Thales
- 10.2 Regional players
- 10.2.1 Econolite
- 10.2.2 Iteris
- 10.2.3 Q-Free ASA
- 10.2.4 Sumitomo Electric Industries
- 10.2.5 SWARCO
- 10.2.6 TomTom
- 10.2.7 TransCore
- 10.2.8 Yunex Traffic
- 10.3 Emerging players
- 10.3.1 Applied Information
- 10.3.2 Jenoptik Mobility Solutions
- 10.3.3 Miovision
- 10.3.4 Rekor Systems
