세계의 철도 관리 시스템의 복합 수송 시장 : 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

The Global Multimodal Transportation In Railway Management System Market was valued at USD 6.3 billion in 2023 and is anticipated to grow at a CAGR of 9% from 2024 to 2032. Today's consumers increasingly seek seamless, convenient, and flexible transportation solutions. This shift prompts railway management systems to embrace multimodal options that provide comprehensive door-to-door connectivity and tailored travel experiences. Environmental consciousness and the growing demand for sustainable transport solutions are major factors propelling the adoption of multimodal systems within railway management. By integrating eco-friendly modes such as electric buses, bike-sharing initiatives, and pedestrian-friendly designs with rail networks, cities can significantly reduce their carbon footprints and enhance air quality.

Multimodal systems promote the use of public transportation over private vehicles, leading to lower emissions and decreased energy consumption. Improved route planning and better connectivity among different transport modes not only streamline travel times and distances but also contribute to broader environmental sustainability goals, supporting global efforts to combat climate change and enhance urban living conditions. Based on components, the solutions segment represented over 70% share in 2023 and is projected to surpass USD 8.5 billion by 2032. Passengers now expect accurate, real-time updates throughout their entire journey, not limited to just the rail portion. This demand drives the creation of integrated journey-planning tools that incorporate data from various transport modes, offering timely information on connections, delays, and alternative routes.

In terms of deployment models, the multimodal transportation market in railway management systems is divided into cloud-based and on-premises solutions. The cloud-based segment is anticipated to exceed USD 9 billion by 2032. Cloud platforms facilitate the integration of extensive data from multiple sources, which is crucial for the efficiency of multimodal transportation systems. By combining information from trains, buses, ticketing systems, and external resources like weather services or traffic data, these platforms enable advanced analytics and informed decision-making. In Europe, significant advancements are being made to digitize railway networks.

Initiatives focus on enhancing the capacity and efficiency of existing rail infrastructure while ensuring seamless connections with other modes of transportation. This integrated approach aims to create a more cohesive and efficient transportation ecosystem, ultimately improving the overall travel experience for users.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Railway operators
  • 3.2.2 Software providers
  • 3.2.3 Service providers
  • 3.2.4 Technology integrators
  • 3.2.5 End users
• 3.3 Profit margin analysis
• 3.4 Technology differentiators
  • 3.4.1 Train automation technology
  • 3.4.2 Data-driven optimization
  • 3.4.3 Sensor-based monitoring and control
  • 3.4.4 Positive train control (PTC)
  • 3.4.5 Others
• 3.5 Key news & initiatives
• 3.6 Regulatory landscape
• 3.7 Impact forces
  • 3.7.1 Growth drivers
    • 3.7.1.1 The rapid growth of urban areas and overall population
    • 3.7.1.2 Growing awareness of environmental issues and the push for sustainable transportation
    • 3.7.1.3 Government policies and investments in infrastructure
    • 3.7.1.4 Economic efficiency and cost optimization of railway management systems
  • 3.7.2 Industry pitfalls & challenges
    • 3.7.2.1 Interoperability and standardization challenges
    • 3.7.2.2 Infrastructure and legacy system constraints
• 3.8 Growth potential analysis
• 3.9 Porter's analysis
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Solution
  • 5.2.1 Yard management systems (YMS)
  • 5.2.2 Train control systems (TCS)
  • 5.2.3 Freight management systems (FMS)
  • 5.2.4 Intermodal systems
  • 5.2.5 Analytics & reporting tools
  • 5.2.6 Others
• 5.3 Services
  • 5.3.1 Implementation
  • 5.3.2 Maintenance
  • 5.3.3 Support services

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 Cloud-based
• 6.3 On-premises

Chapter 7 Market Estimates & Forecast, By Transportation Mode, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Railway freight
• 7.3 Passenger rail
• 7.4 Integrated services

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Public transport authorities
• 8.3 Private railway operators
• 8.4 Logistics companies
• 8.5 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Russia
  • 9.3.7 Nordics
• 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 Southeast Asia
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

• 10.1 ABB
• 10.2 Alstom
• 10.3 Amadeus IT Group
• 10.4 BNSF Railway Company
• 10.5 Bombardier
• 10.6 CAF (Construcciones y Auxiliar de Ferrocarriles)
• 10.7 Capgemini
• 10.8 CGI
• 10.9 Cisco
• 10.10 DXC Technology
• 10.11 GAO Group
• 10.12 GE Transportation
• 10.13 Hitachi
• 10.14 Huawei
• 10.15 IBM
• 10.16 Infosys
• 10.17 SAP
• 10.18 Siemens
• 10.19 Toshiba
• 10.20 Trimble
• 10.21 Wabtec