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市場調查報告書
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1620402

鐵路管理系統多式聯運市場機會、成長動力、產業趨勢分析與預測 2024 - 2032 年

Multimodal Transportation in Railway Management System Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年,全球鐵路管理系統多式聯運市場估值為63 億美元,預計2024 年至2032 年複合年成長率為9%。 。這項轉變促使鐵路管理系統採用多模式選項,提供全面的門到門連接和量身定做的旅行體驗。環境意識和對永續運輸解決方案不斷成長的需求是推動鐵路管理中採用多模式系統的主要因素。透過將電動公車、自行車共享計畫、行人友善設計等環保模式與鐵路網路結合,城市可以大幅減少碳足跡並提高空氣品質。

多式聯運系統促進公共運輸而非私家車的使用,從而減少排放和能源消耗。改進的路線規劃和不同交通方式之間更好的連結性不僅可以簡化旅行時間和距離,還有助於實現更廣泛的環境永續目標,支持全球應對氣候變遷和改善城市生活條件的努力。按組件計算,解決方案細分市場在2023 年將佔據超過70% 的佔有率,預計到2032 年將超過85 億美元。 。這種需求推動了整合旅程規劃工具的創建,該工具整合了來自各種交通方式的資料,提供有關連接、延誤和替代路線的及時資訊。

從部署模式來看,鐵路管理系統的多模式市場分為基於雲端的解決方案和本地解決方案。多模式資料2032 年,基於雲端的細分市場將超過 90 億美元。透過結合來自火車、公共汽車、票務系統以及天氣服務或交通資料等外部資源的資訊,這些平台可以實現高級分析和明智的決策。在歐洲,鐵路網路數位化正在取得重大進展。

市場範圍
開始年份 2023年
預測年份 2024-2032
起始值 63 億美元
預測值 131 億美元
複合年成長率 9%

這些措施的重點是提高現有鐵路基礎設施的容量和效率,同時確保與其他運輸方式的無縫連接。這種綜合方法旨在創造一個更有凝聚力和更有效率的交通生態系統,最終改善使用者的整體旅行體驗。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 鐵路營運商
    • 軟體供應商
    • 服務提供者
    • 技術整合商
    • 最終用戶
  • 利潤率分析
  • 技術差異化因素
    • 列車自動化技術
    • 數據驅動最佳化
    • 基於感測器的監控和控制
    • 主動列車控制 (PTC)
    • 其他
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 城市地區和總人口的快速成長
      • 人們對環境議題的認知不斷增強,並推動永續交通
      • 政府政策和基礎建設投資
      • 鐵路管理系統的經濟效益與成本最佳化
    • 產業陷阱與挑戰
      • 互通性和標準化挑戰
      • 基礎設施和遺留系統限制
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按組成部分,2021 - 2032 年

  • 主要趨勢
  • 解決方案
    • 堆場管理系統 (YMS)
    • 列車控制系統(TCS)
    • 貨運管理系統(FMS)
    • 聯運系統
    • 分析和報告工具
    • 其他
  • 服務
    • 執行
    • 維護
    • 支援服務

第 6 章:市場估計與預測:按部署模型,2021 - 2032 年

  • 主要趨勢
  • 基於雲端
  • 本地

第 7 章:市場估計與預測:依運輸方式,2021 - 2032 年

  • 主要趨勢
  • 鐵路貨運
  • 客運鐵路
  • 綜合服務

第 8 章:市場估計與預測:依最終用途,2021 - 2032 年

  • 主要趨勢
  • 公共交通當局
  • 私人鐵路營運商
  • 物流公司
  • 其他

第 9 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 俄羅斯
    • 北歐人
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 東南亞
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯

第 10 章:公司簡介

  • ABB
  • Alstom
  • Amadeus IT Group
  • BNSF Railway Company
  • Bombardier
  • CAF (Construcciones y Auxiliar de Ferrocarriles)
  • Capgemini
  • CGI
  • Cisco
  • DXC Technology
  • GAO Group
  • GE Transportation
  • Hitachi
  • Huawei
  • IBM
  • Infosys
  • SAP
  • Siemens
  • Toshiba
  • Trimble
  • Wabtec
簡介目錄
Product Code: 11869

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.

Market Scope
Start Year2023
Forecast Year2024-2032
Start Value$6.3 Billion
Forecast Value$13.1 Billion
CAGR9%

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