Smart Transportation Market by Transportation Mode (Roadways, Railways, Airways, and Maritime), and End User (Government and Commercial Organizations) - Global Forecast to 2029
상품코드:1657670
리서치사:MarketsandMarkets
발행일:2025년 01월
페이지 정보:영문 414 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
스마트 운송 시장 규모는 2024년에는 1,297억 2,000만 달러로 평가되었습니다. 2029년에는 2,766억 5,000만 달러에 달할 것으로 예측되며, 연평균 성장률(CAGR)은 16.4%가 될 것으로 보입니다.
디지털 전환의 시대이기 때문에 다양한 업계 기업들이 AI, IoT, 빅데이터 등의 최첨단 기술을 통합하여 업무 효율을 높이고 고객 경험을 향상시키고 있습니다. 또한 정부와 조직이 운송관리 최적화, 혼잡 완화, 안전 강화에 주력하고 있기 때문에 보다 스마트한 교통 솔루션에 대한 수요가 급증하고 있습니다. 이러한 진보는 도로, 철도, 항공로에서 스마트 운송 기술의 채택을 촉진하고, 보다 지속 가능하고 효율적인 교통 시스템이 세계적으로 육성될 것으로 예상됩니다.
조사 범위
조사 대상 연도
2019-2029년
기준 연도
2023년
예측 기간
2024-2029년
검토 단위
달러(10억 달러)
부문별
운송 방법별, 최종 사용자별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동, 아프리카, 라틴아메리카
육로 부문에서는 운송 관리 솔루션이 예측 기간 동안 최대 시장 규모를 가질 것으로 예상됩니다. 운송 관리 솔루션은 특히 도시 환경에서 도로 네트워크의 효율성과 안전성을 향상시키는 데 필수적입니다. AI, 머신러닝, IoT 센서, 빅 데이터 분석 등의 첨단 기술을 활용하여 교통 흐름을 최적화합니다. 이러한 시스템은 실시간 교통 상황을 모니터링하고, 교통 신호의 타이밍을 관리하고, 정체를 예측하고, 병목 현상을 완화하는 솔루션을 제공합니다. 교통 모니터링 및 제어를 자동화함으로써 이러한 시스템은 지연과 공해를 줄이고 이동 시간을 개선하며 보다 지속 가능한 도시 이동성에 기여합니다. 예를 들어, Siemens Mobility의 트래픽 관리 솔루션은 이러한 첨단 기술을 통합하여 교통 신호를 동적으로 조정하고 대중 교통 차량을 관리하며 전반적인 교통 효율을 높임으로써 세계 도시에서 더 부드러운 통근을 실현합니다.
예측 기간 동안 철도 부문에서는 여객 정보 솔루션이 가장 높은 성장이 예상됩니다. 여객 정보 솔루션은 여객에게 실시간으로 실용적인 데이터를 제공하고 여객이 충분한 정보를 얻은 후 여행 의사 결정을 할 수 있도록 지원합니다. 이러한 솔루션은 일반적으로 디지털 디스플레이, 모바일 애플리케이션 및 자동 알림을 탑재하고 있으며 기차 시간표, 지연, 휴가 및 홈 변경에 대한 최신 정보를 제공합니다. 매끄럽고 편안한 여행 경험에 대한 수요가 증가함에 따라 철도 사업자는 고객 만족도와 비즈니스 효율성을 향상시키기 위해 이러한 기술에 투자하고 있습니다. 예를 들어, 알스톰의 승객 정보 시스템은 실시간 데이터를 이용하여 승객에게 여행의 최신 정보를 알리고 더 나은 여행의 조정을 가능하게 합니다. 철도산업이 고객체험 향상과 업무 합리화에 주력하는 가운데, 여객정보시스템은 여행체험 전체 개선, 승객 대기시간 단축, 여정 예측 가능성 향상에 매우 중요합니다.
항공 분야에서는 예측 기간 동안 항공 운송 관리 솔루션이 최대 시장 점유율을 가질 것으로 예상됩니다. 항공 운송 관리(ATM) 시스템은 항공 여행의 안전, 효율성 및 원활한 운영을 보장하기 위해 매우 중요합니다. 항공 교통을 관리하기 위해 이러한 시스템은 AI, 레이더, 위성 내비게이션, 실시간 데이터 분석 등 다양한 첨단 기술을 사용합니다. 비행 경로를 최적화하고 지연을 줄이고 공역 용량을 강화함으로써 ATM 시스템은 항공기가 안전하고 효율적으로 환경에 미치는 영향을 최소화하면서 이동할 수 있도록 보장합니다. 세계 항공 교통량이 증가함에 따라 이러한 시스템은 혼잡을 관리하고 비행 안전을 향상시키는 데 점점 더 중요 해지고 있습니다. 예를 들어, 탈레스 항공 운송 관리 솔루션은 항공 교통 흐름과 의사결정을 강화하고, 항공 관제관의 효율성을 높이고, 공역 이용을 최적화하기 위해 예측 분석과 실시간 데이터 공유를 통합합니다. 이를 통해 점점 더 붐비는 하늘에서 지연을 줄이고 부드러운 운항과 안전성을 향상시킬 수 있습니다.
본 보고서에서는 세계의 스마트 운송 시장에 대해 조사했으며, 운송 방법별, 최종 사용자별, 지역별 동향, 시장 진출기업 프로파일 등을 정리했습니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 중요 인사이트
제5장 시장 개요와 업계 동향
서론
시장 역학
스마트 운송의 진화
에코시스템
사례 연구
밸류체인 분석
관세 및 규제 상황
가격 분석
기술 분석
특허 분석
무역 분석
Porter's Five Forces 분석
고객사업에 영향을 주는 동향/혼란
주요 이해관계자와 구매 기준
2025-2026년의 주된 회의와 이벤트
스마트 운송을 위한 기술 로드맵
AI/생성형 AI가 스마트 운송 시장에 미치는 영향
투자와 자금조달 시나리오
제6장 스마트 운송 시장, 운송 방법별
서론
육로
철도
공로
해로
제7장 스마트 운송 시장, 최종 사용자별
서론
정부
상업 조직
제8장 스마트 운송 시장, 지역별
서론
북미
북미 : 거시경제 전망
미국
캐나다
유럽
유럽 : 거시경제 전망
영국
독일
프랑스
스페인
이탈리아
북유럽
기타
아시아태평양
아시아태평양 : 거시경제 전망
호주 및 뉴질랜드
중국
일본
싱가포르
인도
기타
중동 및 아프리카
중동 및 아프리카 : 거시경제 전망
사우디아라비아
카타르
아랍에미리트(UAE)
남아프리카
이집트
기타
라틴아메리카
라틴아메리카 : 거시경제 전망
브라질
멕시코
기타
제9장 경쟁 구도
서론
주요 진입기업의 전략/강점
수익 분석
시장 점유율 분석
시장 랭킹 분석
기업평가 매트릭스 : 주요 진입기업(2024년)
기업평가 매트릭스 : 스타트업/중소기업(2024년)
경쟁 시나리오와 동향
브랜드/제품 비교
주요 스마트 운송 시장 공급자의 기업 평가 및 재무 지표
제10장 기업 프로파일
주요 진출기업
THALES GROUP
HUAWEI
SIEMENS
ALSTOM
HITACHI
CISCO
DNV
CUBIC
TOSHIBA
VESON NAUTICAL
NEC CORPORATION
BENTLEY SYSTEMS
INDRA
TRIMBLE
TOMTOM
CONDUENT
KAPSCH
DESCARTES
WARTSILA
BOSCH
IEI INTEGRATION CORP.
SCHNEIDER ELECTRIC
TRANSCORE
기타 기업
BASSNET
EKE-ELECTRONICS
AITEK
ITERIS
INRIX
TAGMASTER
ATSUKE
PARK
APPYWAY
EFFTRONICS SYSTEMS
제11장 인접 시장 및 관련 시장
제12장 부록
KTH
영문 목차
영문목차
The Smart Transportation market was estimated to be USD 129.72 billion in 2024 to USD 276.65 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 16.4%. As it is an era of digital transformation, businesses across various industries are integrating cutting-edge technologies such as AI, IoT, and big data to enhance operational efficiency and improve customer experiences. Moreover, the demand for smarter transportation solutions is skyrocketing as governments and organizations focus on optimizing traffic management, reducing congestion, and enhancing safety. These advancements are expected to drive the adoption of smart transportation technologies in roadways, railways, and airways, fostering more sustainable and efficient transportation systems globally.
Scope of the Report
Years Considered for the Study
2019-2029
Base Year
2023
Forecast Period
2024-2029
Units Considered
USD (Billion)
Segments
By Transportation Mode, End User, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"In the Roadways segment, the Traffic Management Solution is expected to have the largest market size during the forecast period." In the roadways segment, the traffic management solution is expected to have the largest market size during the forecast period. Traffic management solutions are integral to improving the efficiency and safety of road networks, especially in urban environments. They leverage advanced technologies such as AI, machine learning, IoT sensors, and big data analytics to optimize traffic flow. These systems monitor real-time traffic conditions, manage traffic signal timings, predict congestion, and offer solutions to alleviate bottlenecks. By automating the monitoring and control of traffic, these systems reduce delays and pollution, improve travel times, and contribute to more sustainable urban mobility. For example, Siemens Mobility's Traffic Management Solutions integrates these advanced technologies to adjust traffic signals dynamically, manage public transportation fleets, and enhance overall traffic efficiency, ensuring smoother commutes in cities worldwide.
"In the Railways segment, the Passenger Information Solution will witness the highest growth during the forecast period." The passenger information solution will witness the highest growth in the railways segment during the forecast period. Passenger information solutions provide real-time, actionable data to passengers, helping them make informed travel decisions. These solutions are typically powered by digital displays, mobile applications, and automated announcements, providing up-to-the-minute updates on train schedules, delays, cancellations, and platform changes. With the growing demand for seamless and comfortable travel experiences, rail operators are investing in these technologies to improve customer satisfaction and operational efficiency. For example, Alstom's Passenger Information System uses real-time data to inform passengers of travel updates, enabling better coordination of their journey. As the rail industry focuses on enhancing customer experience and streamlining operations, passenger information systems are crucial in improving the overall travel experience, reducing the time passengers wait, and making their journeys more predictable.
"In the Airways segment, the Air traffic Management Solution is expected to have the largest market share during the forecast period."
In the airways segment, the air traffic management solution is expected to have the largest market share during the forecast period. Air traffic management (ATM) systems are pivotal for ensuring air travel's safety, efficiency, and smooth operation. To manage air traffic, these systems use various advanced technologies, including AI, radar, satellite navigation, and real-time data analytics. By optimizing flight routes, reducing delays, and enhancing airspace capacity, ATM systems ensure aircraft can travel safely, efficiently, and with minimal environmental impact. With the growth in global air traffic, these systems are increasingly critical to managing congestion and improving flight safety. For example, Thales' air traffic management solution incorporates predictive analytics and real-time data sharing to enhance air traffic flow and decision-making, improving the efficiency of air traffic controllers and optimizing airspace usage. This ensures reduced delays, smoother flight operations, and enhanced safety across increasingly crowded skies.
Breakdown of primaries
The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:
By Company Type: Tier 1 - 62%, Tier 2 - 23%, and Tier 3 - 15%
By Designation: C-level -50%, D-level - 30%, and Others - 20%
By Region: North America - 38%, Europe - 15%, Asia Pacific - 35%, Middle East & Africa - 7%, and Latin America- 5%.
The major players in the Smart Transportation market include Thales Group (France), Huawei (China), Siemens (Germany), Cisco (US), DNV (Norway), Cubic (US), Alstom (France), Toshiba (Japan), Veson Nautical (US), NEC Corporation (Japan), Bentley Systems (US), Indra (Spain), Trimble (US), TomTom (Netherlands), Conduent (US), Kapsch (Austria), Hitachi (Japan), and Descartes (Canada). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their Smart Transportation market footprint.
Research Coverage
The market study covers the Smart Transportation market size across different segments. It aims to estimate the market size and the growth potential across various segments, including transportation mode, end user, and region. The transportation mode includes Roadways (Smart Ticketing, Parking Management, Traffic Management, Passenger Information, Intelligent Mobility Solutions, Freight and Fleet Management, Other Roadway Solutions such as GIS Tracking, Safety Management, and Depot Management System), Railways (Railway Smart Ticketing, Passenger Information, Freight Management, Rail Traffic Management, Rail Asset Management, Other Railway Solutions such as GIS Tracking, Security and Safety Solutions, and Advanced Analytics), Airways (Smart Ticketing, Airway Passenger Information, Airport Security Solutions, Freight Management, Air Traffic Management, Other Airway Solutions such as Integrated Operating Center, Queue Management System, and Airport Parking Management), and Maritime (Port and Terminal Management, Maritime Traffic Management, Passenger Information, Other Maritime Solutions such as Smart Ticketing, Real-Time Weather Intelligence, and Maritime Safety and Security Solutions). All share the same services (Consulting, Deployment and Integration, and Support and Maintenance). The regional analysis of the Smart Transportation market covers North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help market leaders and new entrants with information on the closest approximations of the global Smart Transportation market's revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
1. Analysis of key drivers (Increasing demand for smarter and safer transportation, government investments in smart cities, advancements in AI, IoT, and connected infrastructure), restraints (High initial implementation costs, lack of standardized frameworks, privacy and security concerns with data), opportunities (Growing adoption of electric vehicles, rising demand for autonomous transport systems, increased integration of digital technologies in transportation), and challenges (Cybersecurity risks, complexity in integrating new technologies with existing systems, resistance to change in traditional transportation sectors) influencing the growth of the Smart Transportation market.
2. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Smart Transportation market.
3. Market Development: Comprehensive information about lucrative markets - the report analyses the Smart Transportation market across various regions.
4. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the Smart Transportation market.
5. Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players Thales Group (France), Huawei (China), Siemens (Germany), Cisco (US), and DNV (Norway), Cubic (US), Alstom (France), Toshiba (Japan), Veson Nautical (US), NEC Corporation (Japan), Bentley Systems (US), Indra (Spain), Trimble (US), TomTom (Netherlands), Conduent (US), Kapsch (Austria), Hitachi (Japan), and Descartes (Canada), Wartsila (Finland), Bosch (Germany), IEI Integration Corp. (Taiwan), Schneider Electric (France), Transcore (USA), BASSnet (Norway), EKE-Electronics (Finland), Aitek (Italy), Iteris (USA), Inrix (USA), TagMaster (Sweden), Atsuke (Japan), Park+ (India), Appyway (UK), and Efftronics Systems (India).
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSION AND EXCLUSION
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Primary interviews with experts
2.1.2.2 Breakup of primary interviews
2.1.2.3 Key insights from industry experts
2.2 MARKET SIZE ESTIMATION
2.2.1 TOP-DOWN APPROACH
2.2.1.1 Supply-side analysis
2.2.2 BOTTOM-UP APPROACH
2.2.2.1 Demand-side analysis
2.3 DATA TRIANGULATION
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN SMART TRANSPORTATION MARKET
4.2 SMART TRANSPORTATION MARKET, BY TRANSPORTATION MODE
4.3 SMART TRANSPORTATION MARKET, BY ROADWAYS SOLUTION
4.4 SMART TRANSPORTATION MARKET, BY RAILWAYS SOLUTION
4.5 SMART TRANSPORTATION MARKET, BY END USER
4.6 EUROPEAN SMART TRANSPORTATION MARKET, BY TRANSPORTATION MODE AND COUNTRY
4.7 NORTH AMERICAN SMART TRANSPORTATION MARKET, BY TRANSPORTATION MODE AND COUNTRY
4.8 ASIA PACIFIC SMART TRANSPORTATION MARKET, BY TRANSPORTATION MODE AND COUNTRY
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing demand for autonomous and connected vehicles
5.2.1.2 Technological advancements to enhance customer experience
5.2.1.3 Growing government initiatives and PPP models for smart transportation
5.2.1.4 Rising urban population and high demographic rates
5.2.2 RESTRAINTS
5.2.2.1 Integration challenges for new age and legacy systems
5.2.2.2 Lack of standardized and uniform technology
5.2.3.1 Leveraging smart city initiatives for growth in smart transportation
5.2.3.2 Designing and developing connected vehicles compatible with ITS
5.2.3.3 Penetration of analytics in smart transportation
5.2.3.4 Decline in vehicle ownership with advancement of MaaS
5.2.4 CHALLENGES
5.2.4.1 Scalability of smart transportation solutions in large cities
5.2.4.2 High initial cost of deployment
5.2.4.3 Multiple sensors and touchpoints posing data fusion challenges
5.3 EVOLUTION OF SMART TRANSPORTATION
5.4 ECOSYSTEM
5.5 CASE STUDY
5.5.1 CISCO, DAVRA NETWORKS, AND INTEL DELIVERED EDGE ANALYTICS TO SAN DIEGO METROPOLITAN TRANSIT SYSTEM
5.5.2 BANE NOR REPLACED NATIONAL TRAIN CONTROL SYSTEMS WITH THALES' SOLUTIONS
5.5.3 INTELLIGENT SOFTWARE SYSTEM BY HUAWEI ANALYSED DATA, IMPROVED SURVEILLANCE EFFICIENCY, AND IMPLEMENTED CONVENIENT SURVEILLANCE MANAGEMENT SOLUTIONS FOR QINGHAI-TIBET RAILWAY
5.5.4 LUXEMBOURG RAILWAYS EQUIPPED 34 NEW CORADIA TRAINS WITH ALSTOM'S AUTOMATIC TRAIN OPERATION SYSTEM
5.6 VALUE CHAIN ANALYSIS
5.7 TARIFF AND REGULATORY LANDSCAPE
5.7.1 TARIFF DATA (HSN: 853080) - ELECTRICAL SIGNALLING, SAFETY OR TRAFFIC CONTROL EQUIPMENT
5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7.3 KEY REGULATIONS
5.7.3.1 North America
5.7.3.1.1 SCR 17: Artificial Intelligence Bill (California)
5.7.3.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
5.7.3.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.7.3.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
5.7.3.2 Europe
5.7.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
5.7.3.2.2 General Data Protection Regulation (Europe)
5.7.3.3 Asia Pacific
5.7.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.7.3.3.2 The National AI Strategy (Singapore)
5.7.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.7.3.4 Middle East & Africa
5.7.3.4.1 The National Strategy for Artificial Intelligence (UAE)
5.7.3.4.2 The National Artificial Intelligence Strategy (Qatar)
5.7.3.4.3 The AI Ethics Principles and Guidelines (Dubai)
5.7.3.5 Latin America
5.7.3.5.1 The Santiago Declaration (Chile)
5.7.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
5.8 PRICING ANALYSIS
5.8.1 PRICE TREND OF KEY PLAYERS, BY SOLUTION
5.8.2 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS, BY SOLUTION, 2024
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 VEHICLE-TO-EVERYTHING (V2X)
5.9.1.2 AI & ML
5.9.1.3 AUTONOMOUS VEHICLES
5.9.1.4 GIS
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 5G/6G Connectivity
5.9.2.2 Digital twin
5.9.2.3 ADAS
5.9.2.4 Blockchain
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Augmented Reality (AR)
5.9.3.2 Smart sensors & cameras
5.9.3.3 Robotics
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.10.1.1 List of major patents
5.11 TRADE ANALYSIS
5.11.1 EXPORT SCENARIO OF ELECTRICAL SIGNALLING, SAFETY, OR TRAFFIC CONTROL EQUIPMENT
5.11.2 IMPORT SCENARIO OF ELECTRICAL SIGNALLING, SAFETY, OR TRAFFIC CONTROL EQUIPMENT
5.12 PORTER'S FIVE FORCES ANALYSIS
5.12.1 THREAT OF NEW ENTRANTS
5.12.2 THREAT OF SUBSTITUTES
5.12.3 BARGAINING POWER OF BUYERS
5.12.4 BARGAINING POWER OF SUPPLIERS
5.12.5 INTENSITY OF COMPETITIVE RIVALRY
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.14 KEY STAKEHOLDERS & BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.14.2 BUYING CRITERIA
5.15 KEY CONFERENCES AND EVENTS, 2025-2026
5.16 TECHNOLOGY ROADMAP FOR SMART TRANSPORTATION
5.16.1 SMART TRANSPORTATION TECHNOLOGY ROADMAP TILL 2030
5.16.1.1 Short-term roadmap (2025-2027)
5.16.1.2 Mid-term roadmap (2027-2029)
5.16.1.3 Long-term roadmap (2029-2031)
5.17 IMPACT OF AI/GENERATIVE AI ON SMART TRANSPORTATION MARKET
5.17.1 USE CASES OF GENERATIVE SMART TRANSPORTATION
5.18 INVESTMENT & FUNDING SCENARIO
6 SMART TRANSPORTATION MARKET, BY TRANSPORTATION MODE
7.1.1 END USERS: SMART TRANSPORTATION MARKET DRIVERS
7.2 GOVERNMENT
7.3 COMMERCIAL ORGANIZATIONS
8 SMART TRANSPORTATION MARKET, BY REGION
8.1 INTRODUCTION
8.2 NORTH AMERICA
8.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
8.2.2 US
8.2.2.1 Expansion of smart transportation initiatives, such as intelligent traffic systems and connected vehicle technologies, to address congestion and improve mobility to drive market
8.2.3 CANADA
8.2.3.1 Rising vehicle numbers and urban congestion, along with advancements in smart transportation infrastructure to propel market
8.3 EUROPE
8.3.1 EUROPE: MACROECONOMIC OUTLOOK
8.3.2 UK
8.3.2.1 Need to improve efficiency of existing transportation infrastructure to fuel demand for smart transportation solutions
8.3.3 GERMANY
8.3.3.1 Robust economy and technological advancements and need to optimize use of roads, transportation, travel data, traffic management, and system integration to boost market growth
8.3.4 FRANCE
8.3.4.1 Strong hold on infrastructure development and presence of major players to accelerate market growth
8.3.5 SPAIN
8.3.5.1 Government initiatives to develop and promote evolution of smart infrastructure to drive market
8.3.6 ITALY
8.3.6.1 Growing adoption of IoT and analytics and 'Smarter Italy' program by Italian Ministry of Economic Development to bolster market growth
8.3.7 NORDICS
8.3.7.1 Strong innovation, government support, and sustainability focus to propel market
8.3.8 REST OF EUROPE
8.4 ASIA PACIFIC
8.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
8.4.2 AUSTRALIA AND NEW ZEALAND
8.4.2.1 Increasing investments in transportation network extensions and system upgradation to boost market growth
8.4.3 CHINA
8.4.3.1 Strong transportation network, increasing investments, and faster economic development to accelerate market growth
8.4.4 JAPAN
8.4.4.1 Higher adoption of transportation technologies and need to improve safety, operational efficiency, and passenger comfort to boost market
8.4.5 SINGAPORE
8.4.5.1 Increasing focus on technology-based solutions to minimize labor cost to bolster market growth
8.4.6 INDIA
8.4.6.1 Need for smart mobility solutions to manage transit to propel market
8.4.7 REST OF ASIA PACIFIC
8.5 MIDDLE EAST & AFRICA
8.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
8.5.2 KSA
8.5.2.1 Increasing government initiatives to drive market
8.5.3 QATAR
8.5.3.1 Need to improve traffic management system and deliver efficient road infrastructure to bolster market
8.5.4 UAE
8.5.4.1 Technological advancements and government initiatives to improve transportation infrastructure to boost market growth
8.5.5 SOUTH AFRICA
8.5.5.1 Rising need for advanced transportation management infrastructure and technological upgradation to foster market growth
8.5.6 EGYPT
8.5.6.1 Need to improve road network to increase connectivity between cities to boost market growth
8.5.7 REST OF MIDDLE EAST & AFRICA
8.6 LATIN AMERICA
8.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
8.6.2 BRAZIL
8.6.2.1 Significant scope for development of advanced railway infrastructure to boost market growth
8.6.3 MEXICO
8.6.3.1 Increased demand for improved transportation infrastructure to fuel market growth
8.6.4 REST OF LATIN AMERICA
9 COMPETITIVE LANDSCAPE
9.1 INTRODUCTION
9.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
9.3 REVENUE ANALYSIS
9.4 MARKET SHARE ANALYSIS
9.5 MARKET RANKING ANALYSIS
9.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
9.6.1 STARS
9.6.2 EMERGING LEADERS
9.6.3 PERVASIVE PLAYERS
9.6.4 PARTICIPANTS
9.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
9.6.5.1 Company footprint
9.6.5.2 Regional footprint
9.6.5.3 Transportation mode footprint
9.6.5.4 End-user footprint
9.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2024
