한글목차

스마트 교통 시장 규모는 2025년 1,587억 9,000만 달러에서 2026년부터 2034년까지 CAGR 12.96%로 성장하여 2034년에는 4,754억 9,000만 달러에 달할 것으로 예측됩니다.

스마트 교통 시장은 효율적이고 안전하며 지속가능한 교통 솔루션에 대한 수요 증가를 배경으로 빠르게 성장하고 있습니다. 도시화가 진행되면서 많은 도시에서 교통 혼잡이 심각한 문제로 대두되고 있는 가운데, 스마트 교통 기술에 대한 수요가 증가하고 있습니다. 이러한 기술들은 교통 네트워크의 효율성과 안전성을 향상시키기 위한 지능형 교통 시스템(ITS), 커넥티드카, 서비스형 모빌리티(MaaS) 플랫폼 등 다양한 솔루션을 포괄하고 있습니다. 인공지능, 빅데이터 분석, 사물인터넷(IoT) 등 첨단 기술의 통합은 교통 관리를 최적화하고 사용자 경험을 향상시키는 스마트 교통 솔루션의 개발을 더욱 촉진하고 있습니다.

또한, 지속가능성과 이산화탄소 배출량 감소에 대한 관심이 높아지면서 스마트 교통에 대한 전망도 바뀌고 있습니다. 정부와 지자체는 스마트 대중교통 시스템, 전기자동차, 지속가능한 이동수단을 지원하는 인프라에 대한 투자를 확대하고 있습니다. 라이드셰어링, 자전거 공유와 같은 공유형 모빌리티 서비스의 부상도 소비자들이 기존 자동차 소유에 대한 편리하고 친환경적인 대안을 찾는 가운데 스마트 교통 시장의 성장에 기여하고 있습니다. 또한, 교통 분야의 안전과 보안에 대한 관심이 높아지면서 실시간 모니터링 및 대응 능력을 강화하는 스마트 기술에 대한 수요가 증가하고 있습니다.

향후 스마트 교통 시장은 기술 혁신과 인프라 개발의 진전에 따라 더욱 성장할 것으로 예상됩니다. 자율주행차와 ADAS(첨단 운전자 보조 시스템)의 통합은 교통 환경을 혁신하고, 효율성과 안전에 대한 새로운 기회를 가져올 것입니다. 또한, 데이터 프라이버시와 사이버 보안에 대한 관심이 높아짐에 따라 스마트 교통 시스템 내에서 강력한 보안 대책의 필요성이 대두되고 있습니다. 시장이 계속 진화하는 가운데, 기술 제공업체, 정부 기관, 이해관계자 간의 협력을 중시하는 것은 혁신을 촉진하고 도시 모빌리티의 다양한 요구를 충족시키며 스마트 교통 시장을 미래 교통 솔루션의 주요 기업으로 자리매김하는 데 있어 매우 중요할 것입니다. 스마트 교통 시장을 미래 교통 솔루션의 주요 기업으로 자리매김할 것입니다.

목차

제1장 소개

제2장 주요 요약

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 스마트 교통 시장 : 구성요소별

제5장 세계의 스마트 교통 시장 : 운송 수단별

제6장 세계의 스마트 교통 시장 : 솔루션별

제7장 세계의 스마트 교통 시장 : 기술별

제8장 세계의 스마트 교통 시장 : 최종사용별

제9장 세계의 스마트 교통 시장 : 지역별

제10장 경쟁 구도

제11장 기업 개요

영문목차

The Smart Transportation Market size is expected to reach USD 475.49 Billion in 2034 from USD 158.79 Billion (2025) growing at a CAGR of 12.96% during 2026-2034.

The smart transportation market is experiencing rapid growth, driven by the increasing need for efficient, safe, and sustainable transportation solutions. As urbanization continues to rise and traffic congestion becomes a pressing issue in many cities, the demand for smart transportation technologies is on the rise. These technologies encompass a wide range of solutions, including intelligent transportation systems (ITS), connected vehicles, and mobility-as-a-service (MaaS) platforms, all aimed at enhancing the efficiency and safety of transportation networks. The integration of advanced technologies such as artificial intelligence, big data analytics, and the Internet of Things (IoT) is further propelling the development of smart transportation solutions that optimize traffic management and improve user experience.

Moreover, the growing emphasis on sustainability and reducing carbon emissions is reshaping the smart transportation landscape. Governments and municipalities are increasingly investing in smart public transportation systems, electric vehicles, and infrastructure that supports sustainable mobility options. The rise of shared mobility services, such as ride-sharing and bike-sharing, is also contributing to the growth of the smart transportation market, as consumers seek convenient and eco-friendly alternatives to traditional car ownership. Additionally, the increasing focus on safety and security in transportation is driving demand for smart technologies that enhance monitoring and response capabilities in real-time.

Looking ahead, the smart transportation market is expected to benefit from ongoing innovations in technology and infrastructure development. The integration of autonomous vehicles and advanced driver-assistance systems (ADAS) is poised to revolutionize the transportation landscape, offering new opportunities for efficiency and safety. Furthermore, the increasing focus on data privacy and cybersecurity will drive the need for robust security measures within smart transportation systems. As the market continues to evolve, the emphasis on collaboration between technology providers, government agencies, and transportation stakeholders will be crucial in driving innovation and meeting the diverse needs of urban mobility, positioning the smart transportation market as a key player in the future of transportation solutions.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

• Hardware
• Software
• Services

By Transportation Mode

• Roadways
• Railways
• Airways
• Maritime

By Solution

• Traffic Management
• Smart Ticketing
• Parking Management
• Passenger Information Systems
• Freight Management

By Technology

• IoT
• Ai & Machine Learning
• Big Data Analytics
• Cloud Computing
• Blockchain

By End Use

• Government Agencies
• Commercial Businesses

COMPANIES PROFILED

• Alstom SA, Bentley Systems, Cisco Systems, Cubic, Hitachi, Huawei Technologies, IBM, NEC Corporation, Siemens Mobility, Thales Group

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL SMART TRANSPORTATION MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL SMART TRANSPORTATION MARKET: BY TRANSPORTATION MODE 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Transportation Mode
• 5.2. Roadways Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Railways Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Airways Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Maritime Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL SMART TRANSPORTATION MARKET: BY SOLUTION 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Solution
• 6.2. Traffic Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Smart Ticketing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Parking Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Passenger Information Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Freight Management Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL SMART TRANSPORTATION MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Technology
• 7.2. IoT Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Ai & Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Big Data Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Cloud Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Blockchain Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL SMART TRANSPORTATION MARKET: BY END USE 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End Use
• 8.2. Government Agencies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Commercial Businesses Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL SMART TRANSPORTATION MARKET: BY REGION 2022-2034(USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Component
  • 9.2.2 By Transportation Mode
  • 9.2.3 By Solution
  • 9.2.4 By Technology
  • 9.2.5 By End Use
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Component
  • 9.3.2 By Transportation Mode
  • 9.3.3 By Solution
  • 9.3.4 By Technology
  • 9.3.5 By End Use
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Component
  • 9.4.2 By Transportation Mode
  • 9.4.3 By Solution
  • 9.4.4 By Technology
  • 9.4.5 By End Use
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Component
  • 9.5.2 By Transportation Mode
  • 9.5.3 By Solution
  • 9.5.4 By Technology
  • 9.5.5 By End Use
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 South East Asia
  • 9.5.11 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Component
  • 9.6.2 By Transportation Mode
  • 9.6.3 By Solution
  • 9.6.4 By Technology
  • 9.6.5 By End Use
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL SMART TRANSPORTATION INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Alstom SA
  • 11.2.2 Bentley Systems
  • 11.2.3 Cisco Systems
  • 11.2.4 Cubic
  • 11.2.5 Hitachi
  • 11.2.6 Huawei Technologies
  • 11.2.7 IBM
  • 11.2.8 NEC Corporation
  • 11.2.9 Siemens Mobility
  • 11.2.10 Thales Group