Digital Railway Market by Offering (Solutions (Remote Monitoring, Network Management, Security, Analytics) and Services), Application (Rail Operations Management, Passenger Information System, and Asset Management) and Region - Global Forecast to 2030
상품코드:1752399
리서치사:MarketsandMarkets
발행일:2025년 06월
페이지 정보:영문 264 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 디지털 철도 시장 규모는 2025년 827억 6,000만 달러로 추정되며, 9.0%의 연평균 복합 성장률(CAGR)로 확대되어 2030년까지 1,275억 4,000만 달러에 이를 것으로 예측됩니다. 철도 IoT는 열차 인프라의 신뢰성과 안전성을 향상시킵니다. 유지 보수를 위해 많은 데이터를 사용할 수 있습니다. 애널리틱스와 결합하여 IoT는 철도 운행을 효율화 할 수 있습니다. IoT 지원 기술은 물류 사업의 상황을 변화시키고 있습니다.
조사 범위
조사 대상 연도
2019-2030년
기준연도
2024년
예측 기간
2025-2030년
검토 단위
달러(10억 달러)
부문
솔루션별, 서비스별, 용도별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동, 아프리카, 라틴아메리카
시스템 통합 및 배포 서비스는 철도 IT 인프라를 업그레이드하고 기존 시스템 내에서 디지털 철도 소프트웨어를 지원하는 데 중요한 역할을 합니다. 이 프로세스는 고객의 요구 사항을 수집하는 것으로 시작하여 솔루션 배포, 통합, 테스트 및 배포로 이어집니다.
철도교통관리 분야는 예측기간 동안 최대 시장 규모를 가질 전망입니다. 이 중앙 관리 시스템은 열차 및 철도 인프라를 가로 지르는 고속 통신 링크를 통해 실시간 데이터를 사용하여 교통을 자동화합니다. 이 시스템은 네트워크 용량과 시간 효율성을 높이고, 교통 흐름을 조정하고, 운행 지연의 위험을 줄이고, 네트워크 재해 관리를 개선하기위한 유연한 솔루션을 제공합니다.
아시아태평양은 신기술 채택 증가, 디지털 전환 투자 증가, 아시아태평양 국가의 GDP 성장으로 디지털 철도 시장이 가장 급성장할 것으로 추정됩니다. 이 지역의 주요 경제권에는 호주, 싱가포르, 중국, 한국, 홍콩, 인도가 포함되어 있으며, 모두 기술 변화에 대한 투자를 빠르게 진행하고 있습니다. 미개척 시장 잠재력, 첨단기술의 높은 보급률, 다양한 산업에서의 화물이용 증가, 진행 중인 경제개척, 정부의 지원적 규제 등으로 디지털철도시장은 예측기간 동안 아시아태평양에서 큰 성장을 이룰 것으로 예측됩니다. 유엔 아시아태평양경제사회위원회(UNESCAP)는 아시아 횡단철도(TAR) 네트워크의 개발과 디지털화를 적극적으로 추진하고 있습니다. TAR은 역내 및 역외 무역과 수송의 촉진에 크게 기여하고 있으며, 28개국을 횡단하는 약 12만8000킬로미터를 커버하고 있습니다. 2023년 9월, TAR 작업부회는 철도 운송의 경쟁력을 높이기 위해 '아시아태평양에서 철도 디지털 변환의 가속에 관한 전략 2030'을 채택했습니다.
본 보고서에서는 세계의 디지털 철도 시장에 대해 조사했으며, 솔루션별, 서비스별, 용도별, 지역별 동향 및 시장 진출기업 프로파일 등을 정리했습니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 중요 인사이트
제5장 시장 개요와 업계 동향
소개
시장 역학
디지털 철도의 간단한 역사
디지털 철도 시장 : 생태계 분석
사례 연구 분석
밸류체인 분석
규제 상황
가격 모델 분석
고객의 비즈니스에 영향을 미치는 동향과 혼란
기술 분석
특허 분석
2025-2026년의 주된 회의와 이벤트
Porter's Five Forces 분석
주요 이해관계자와 구매 기준
디지털 철도 시장의 모범 사례
디지털 철도 시장용 기술 로드맵
투자 및 자금조달 시나리오
디지털 철도의 비즈니스 모델
AI/생성형 AI가 디지털 철도 시장에 미치는 영향
2025년 미국 관세의 영향 - 디지털 철도 시장
제6장 디지털 철도 시장(솔루션별)
소개
원격 모니터링
루트 최적화 및 일정
분석
네트워크 관리
예측 보수
안전
기타
제7장 디지털 철도 시장(서비스별)
소개
전문 서비스
매니지드 서비스
제8장 디지털 철도 시장(용도별)
소개
철도 운행 관리
승객 정보 시스템
자산운용관리
기타
제9장 디지털 철도 시장(지역별)
소개
북미
북미 : 거시경제 전망
북미 : 디지털 철도 시장 성장 촉진요인
미국
캐나다
유럽
유럽: 거시경제 전망
유럽: 시장 성장 촉진요인
유럽: 규제의 영향
영국
독일
프랑스
기타
아시아태평양
아시아태평양: 거시경제 전망
아시아태평양: 디지털 철도 시장 성장 촉진요인
중국
인도
일본
기타
중동 및 아프리카
중동?아프리카 : 거시경제 전망
중동?아프리카 : 디지털 철도 시장 성장 촉진요인
나이지리아
아랍에미리트(UAE)
남아프리카
기타
라틴아메리카
라틴아메리카: 디지털 철도 시장 성장 촉진요인
라틴아메리카: 거시경제 전망
브라질
멕시코
기타
제10장 경쟁 구도
소개
주요 참가 기업의 전략/강점, 2022-2025년
시장 점유율 분석, 2024년
주요 기업의 수익 분석(2020-2024년)
브랜드/제품 비교
기업평가와 재무지표
기업 평가 쿼드런트, 2025년
스타트업/중소기업 평가 쿼드런트
경쟁 시나리오
제11장 기업 프로파일
주요 진출기업
SIEMENS
CISCO
HITACHI
WABTEC
ALSTOM
IBM
ABB
HUAWEI
FUJITSU
DXC
HONEYWELL
INDRA
NOKIA
ATKINS
TOSHIBA
TELEVIC
ADVANTECH
스타트업/중소기업
ZEDAS
R2P
SIMPLEWAY
TEGO
ASSETIC
PASSIO TECHNOLOGIES
DELPHISONIC
UPTAKE
KONUX
MACHINES WITH VISION
EKE-ELECTRONICS
AITEK SPA
CLOUDMOYO
RAILTEL
제12장 인접 시장/관련 시장
제13장 부록
>JHS
영문 목차
영문목차
The digital railway market is estimated to be USD 82.76 billion in 2025 and is projected to reach USD 127.54 billion by 2030 at a CAGR of 9.0%. The shift toward the adoption of IoT is revolutionary in the management of railway networks. IoT in railways also improves the reliability and safety of the train infrastructure. The data generated by IoT sensors enables the analysis and interpretation of conditions that could not be done earlier. With the deployment of IoT, a lot of data could now be used to optimize train schedules and maintain equipment, two serious challenges for railway efficiency. When combined with analytics, IoT can streamline railway operations for better efficiency. Vendors and third-party providers are increasingly adopting digitized systems for supply chain management and logistics activities. IoT-enabled technologies are transforming the landscape of the logistics business. Organizations are increasingly focusing on re-engineering businesses with the immense power of IoT and cloud technologies. With the help of RFID, Global System for Mobile Communications-Railway (GSM-R), and collaboration platforms, logistics vendors find ways to face economic challenges.
Scope of the Report
Years Considered for the Study
2019-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
USD (Billion)
Segments
Offering, Application, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"System integration and deployment services segment will witness the highest growth during the forecast period." System integration and deployment services play a crucial role in upgrading railway IT infrastructure to support digital railway software within existing systems. These services enhance deployment, save time and costs, promote efficient operations, and minimize disruptions related to implementation. The process begins with gathering customer requirements, followed by deploying, integrating, testing, and rolling out solutions. Ultimately, these services enable the deployment of vendor-independent solutions, contributing to the development of a highly optimized digital railway.
"Rail traffic management segment is expected to have the largest market size during the forecast period." The rail traffic management system enables centralized supervision and traffic control of the entire rail network. All rail operations can be regularized by a central control system. This central administration system uses real-time data over high-speed communication links across trains and rail infrastructures to automate the traffic. Rail traffic management involves signaling, traffic control, routing, and train scheduling. The system offers a flexible solution to increase network capacity and time efficiency, regulate traffic flow, reduce the risk of operational delays, and improve network disaster management. The rail traffic management system features include traffic planning, operation management system, operation information for passengers, maintenance support, and driver-only and driverless operation.
"Asia Pacific is expected to record the highest growth rate during the forecast period."
Asia Pacific is estimated to be the fastest-growing market for digital railways due to the increasing adoption of new technologies, higher investments in digital transformation, and the growth in GDPs of Asia Pacific countries. The key economies in the region include Australia, Singapore, China, South Korea, Hong Kong, and India, all of which are rapidly investing in technological transformation. With untapped market potential, high penetration of advanced technologies, increasing freight usage across various industries, ongoing economic developments, and supportive government regulations, the digital railway market is anticipated to experience significant growth in the Asia Pacific region during the forecast period. The United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) is actively driving the development and digital transformation of the Trans-Asian Railway (TAR) network. The TAR contributes greatly to facilitating both intra- and inter-regional trade and transport, which covers approximately 128,000 kilometers across 28 countries. In September 2023, the TAR Working Group adopted the "Strategy 2030 on Accelerating Rail Digital Transformation in Asia-Pacific" to boost the competitiveness of rail transport.
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 - 34%, Tier 2 - 43%, and Tier 3 - 23%
By Designation: C-level -50%, D-level - 30%, and Others - 20%
By Region: North America - 25%, Europe - 30%, Asia Pacific - 30%, Rest of the World - 15%
The major players in the digital railway market include Alstom (France), Cisco (US), Wabtec (US), ABB (Switzerland), IBM (US), Hitachi (Japan), Huawei (China), Indra Sistemas (Spain), Siemens (Germany), Honeywell (US), Fujitsu (Japan), Toshiba (Japan), DXC (US), Nokia (Finland), Advantech (Taiwan), Televic (Belgium), Uptake (US), Tego (US), KONUX (Germany), Aitek S.p.A (Italy), Assetic (Australia), Machines With Vision (UK), Delphisonic (US), Passio Technologies (US), Atkins (UK), CloudMoyo (US), RailTel (India), ZEDAS (Germany), Simpleway (US), EKE Electronics (Finland), and r2p (Germany). These players have adopted various growth strategies, such as partnerships, agreements, collaborations, product launches/enhancements, and acquisitions, to expand their market footprint.
Research Coverage
This study covers the digital railway market and its growth potential across different segments, including offerings, applications, and regions. The offerings are sub-segmented into solutions and services. The solutions studied under the digital railway market include remote monitoring, route optimization & scheduling, analytics, network management, predictive maintenance, security, and other solutions (location analytics, content management for infotainment, and preventive maintenance). The services studied include professional services (consulting, system integration and deployment, support, and maintenance) and managed services. The application segment includes rail operations management (rail automation management, rail control (signaling solutions, rail traffic management, and freight management), smart ticketing, and workforce management), passenger information systems, asset management, and other applications (connectivity and communication). The regional analysis of the digital railway market covers North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America.
Key Benefits of Buying the Report
The report will help market leaders and new entrants with information on the closest approximations of the global digital railway market's revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape, gain insights, 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 the following insights.
1. Analysis of key drivers (surge in passenger numbers over the past few years, rising adoption of IoT in railways, advancement in communication technology), restraints (lack of robust railway infrastructure in underdeveloped countries, high initial cost of deployment), opportunities (rising need for advanced transportation infrastructure, autonomous train to be significant opportunity for digital railway solution providers, emerging trend of smart cities), and challenges (increased threat of cyberattacks as railway system becomes digital, lack of IT infrastructure and skilled personnel) influencing the growth of the digital railway market.
2. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the digital railway market.
3. Market Development: The report provides comprehensive information about lucrative markets, analyzing the digital railway market across various regions.
4. Market Diversification: Comprehensive information about new products and services, untapped geographies, recent developments, and investments in the digital railway market.
5. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players: Alstom (France), Cisco (US), Wabtec (US), ABB (Switzerland), IBM (US), Hitachi (Japan), Huawei (China), Indra Sistemas (Spain), Siemens (Germany), Honeywell (US), Fujitsu (Japan), Toshiba (Japan), DXC (US), Nokia (Finland), Advantech (Taiwan), Televic (Belgium), Uptake (US), Tego (US), KONUX (Germany), Aitek S.p.A (Italy), Assetic (Australia), Machines With Vision (UK), Delphisonic (US), Passio Technologies (US), Atkins (UK), CloudMoyo (US), RailTel (India), ZEDAS (Germany), Simpleway (US), EKE Electronics (Finland), and r2p (Germany).
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 INCLUSIONS AND EXCLUSIONS
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 STAKEHOLDERS
1.7 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 profiles
2.1.2.3 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 TOP-DOWN APPROACH
2.2.2 BOTTOM-UP APPROACH
2.2.3 DIGITAL RAILWAY MARKET ESTIMATION: DEMAND-SIDE ANALYSIS
2.3 MARKET BREAKUP AND DATA TRIANGULATION
2.4 RISK ASSESSMENT
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN DIGITAL RAILWAY MARKET
4.2 DIGITAL RAILWAY MARKET, BY TOP THREE SOLUTIONS
4.3 DIGITAL RAILWAY MARKET, BY APPLICATIONS
4.4 NORTH AMERICA: DIGITAL RAILWAY MARKET: SERVICE AND TOP THREE APPLICATIONS
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Surge in passenger numbers over the past few years
5.2.1.2 Rising adoption of IoT in railways
5.2.1.3 Advancements in communication technology
5.2.2 RESTRAINTS
5.2.2.1 Lack of robust railway infrastructure in underdeveloped countries
5.2.2.2 High initial cost of deployment
5.2.3 OPPORTUNITIES
5.2.3.1 Rising need for advanced transportation infrastructure
5.2.3.2 Autonomous train to be significant opportunity for digital railway solution providers
5.2.3.3 Emerging trend of smart cities
5.2.4 CHALLENGES
5.2.4.1 Increased threat of cyberattacks as railway system becomes digital
5.2.4.2 Lack of IT infrastructure and skilled personnel
5.3 BRIEF HISTORY OF DIGITAL RAILWAYS
5.3.1 1980S-1990S: FOUNDATION LAYING
5.3.2 2000S: RISE OF INTELLIGENT INFRASTRUCTURE
5.3.3 2010S: DIGITAL TRANSFORMATION AND CONNECTIVITY
5.3.4 2020S-PRESENT: AI-DRIVEN AND AUTONOMOUS RAILWAYS
5.4 DIGITAL RAILWAY MARKET: ECOSYSTEM ANALYSIS
5.5 CASE STUDY ANALYSIS
5.5.1 USE CASES
5.5.1.1 Case study 1: Siemens provides maintenance services to Govia Thameslink Railway
5.5.1.2 Case study 2: Thales provided Bane (NOR) with next-generation traffic management system
5.5.1.3 Case study 3: Assetic helped Sydney Trains visualize rail assets for optimized asset management
5.5.1.4 Case study 4: Thales provided train-to-ground broadband data communication solution to Brescia Metro
5.5.1.5 Case study 5: Taiwan High Speed Rail Corporation selected IBM Maximo to build an advanced maintenance management solution
5.5.1.6 Case study 6: VTG Rail Europe collaborated with Siemens to innovate rail freight transport
5.5.1.7 Case study 7: Uptake's automated maintenance work order of North American freight railway company
5.6 VALUE CHAIN ANALYSIS
5.7 REGULATORY LANDSCAPE
5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7.2 KEY REGULATIONS
5.7.2.1 North America
5.7.2.1.1 SCR 17: Artificial Intelligence Bill (California)
5.7.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
5.7.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.7.2.1.4 Artificial Intelligence and Data Act (AIDA) - Canada
5.7.2.2 Europe
5.7.2.2.1 European Union (EU) - Artificial Intelligence Act (AIA)
5.7.2.2.2 General Data Protection Regulation (Europe)
5.7.2.3 Asia Pacific
5.7.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.7.2.3.2 National AI Strategy (Singapore)
5.7.2.3.3 Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.7.2.4 Middle East & Africa
5.7.2.4.1 National Strategy for Artificial Intelligence (UAE)
5.7.2.4.2 National Artificial Intelligence Strategy (Qatar)
5.7.2.4.3 AI Ethics Principles and Guidelines (Dubai)