Europe Rolling Stock Management Market Size and Forecasts (2020 - 2030), Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: By Management Type (Rail Management and Infrastructure Management) and Maintenance Service (Corrective Maintenance, Preventive Maintenance, and Predictive Maintenance)
Europe rolling stock management market accounted for US$ 7,377.04 million in the year 2022 and is expected to grow at a CAGR of 5.7% during the period 2022 - 2030, to account for US$ 11,518.65 million in the year 2030.
Rising use of predictive and condition monitoring is boosting the rolling stock management market growth
Predictive maintenance allows rail operators to address maintenance issues before they escalate into costly breakdowns. By identifying potential problems early, operators can schedule maintenance at optimal times, reducing overall maintenance costs and minimizing downtime. With predictive maintenance, rail operators can maximize the lifespan of their rolling stock. By proactively addressing wear and tear, they can ensure that trains remain operational and safe for extended periods, delaying the need for costly replacements. Condition monitoring systems generate a wealth of data that can be analyzed to make informed decisions about maintenance priorities, resource allocation, and long-term asset management strategies. Predictive maintenance contributes to more efficient energy use and lower emissions by reducing the likelihood of unplanned maintenance and breakdowns, aligning with Europe's environmental goals. The adoption of predictive and condition monitoring technologies in rolling stock management improves operational efficiency and safety and aligns with Europe's commitment to sustainable and efficient transportation systems. Thus, constant technological advancements positively influence the Europe rolling stock management market growth.
Based on management type, the Europe rolling stock management market share is segmented into rail management and infrastructure management.
The integration of big data analytics and cloud computing is projected to revolutionize the rolling stock management market in Europe, offering numerous benefits and driving future growth. Big data analytics combined with cloud computing enables real-time monitoring and analysis of rolling stock performance. This predictive maintenance approach allows operators to identify potential issues before they lead to costly breakdowns, reducing downtime and improving reliability. As a result, maintenance becomes more efficient and cost-effective. The vast amount of data generated by rolling stock, including sensor data, operational logs, and maintenance records, can be efficiently processed and stored in the cloud. This facilitates comprehensive asset management, helping operators optimize the use of their rolling stock, plan maintenance schedules, and extend the lifespan of their assets. Big data analytics can analyze safety-related data, such as video footage from onboard cameras and sensor data, to detect safety breaches, unusual events, or potential risks. Cloud-based solutions make storing, accessing, and analyzing this data easier, contributing to enhanced safety measures. Cloud-based solutions offer greater flexibility and scalability, allowing operators to adapt more effectively to changing demand and operational requirements. This agility enhances overall operational efficiency and responsiveness.
Thus, the integration of big data analytics and cloud computing represents a significant opportunity for the growth of rolling stock management market share in Europe. It enhances operational efficiency, safety, and passenger experience while providing data-driven insights for better decision-making. As the adoption of these technologies grows, the rolling stock management market is likely to experience continued expansion and innovation, ultimately delivering more efficient and reliable rail transportation systems.
Major stakeholders in the rolling stock management market ecosystem include rail manufacturers, infrastructure developers, system integrators, maintenance service providers, and end users. The rail manufacturers operating in the rolling stock management market offers the development and maintenance services of the rail management. In addition, the infrastructure developers are engaged in the development and management of infrastructure management which includes station infrastructure, control room infrastructure, the development of the machines installed on the station and more. The system integrators with the help of sensors, cameras, software and more integrates the rail and station infrastructures which are further maintained by the maintenance service providers.
Alstom SA, Hitachi Rail Ltd, ABB Ltd, Mitsubishi Electric Corp, Siemens Mobility GmbH, Talgo SA, Thales SA, Toshiba Infrastructure Systems and Solutions Corp, Trimble Inc, and LocoTech LLC are among the key Europe rolling stock management market players profiled during the market study. Many companies are investing in rolling stock management owing to the potential improvements related to accuracy, operational efficiency, and timely order fulfillment of the rolling stocks. In addition, several other important rolling stock management market players operating in the ecosystem were studied and analyzed during this market research study to get a holistic overview of the market.
Rising use of predictive and condition monitoring is boosting the rolling stock management market growth
Predictive maintenance allows rail operators to address maintenance issues before they escalate into costly breakdowns. By identifying potential problems early, operators can schedule maintenance at optimal times, reducing overall maintenance costs and minimizing downtime. With predictive maintenance, rail operators can maximize the lifespan of their rolling stock. By proactively addressing wear and tear, they can ensure that trains remain operational and safe for extended periods, delaying the need for costly replacements. Condition monitoring systems generate a wealth of data that can be analyzed to make informed decisions about maintenance priorities, resource allocation, and long-term asset management strategies. Predictive maintenance contributes to more efficient energy use and lower emissions by reducing the likelihood of unplanned maintenance and breakdowns, aligning with Europe's environmental goals. The adoption of predictive and condition monitoring technologies in rolling stock management improves operational efficiency and safety and aligns with Europe's commitment to sustainable and efficient transportation systems. Thus, constant technological advancements positively influence the Europe rolling stock management market growth.
Based on management type, the Europe rolling stock management market share is segmented into rail management and infrastructure management.
The integration of big data analytics and cloud computing is projected to revolutionize the rolling stock management market in Europe, offering numerous benefits and driving future growth. Big data analytics combined with cloud computing enables real-time monitoring and analysis of rolling stock performance. This predictive maintenance approach allows operators to identify potential issues before they lead to costly breakdowns, reducing downtime and improving reliability. As a result, maintenance becomes more efficient and cost-effective. The vast amount of data generated by rolling stock, including sensor data, operational logs, and maintenance records, can be efficiently processed and stored in the cloud. This facilitates comprehensive asset management, helping operators optimize the use of their rolling stock, plan maintenance schedules, and extend the lifespan of their assets. Big data analytics can analyze safety-related data, such as video footage from onboard cameras and sensor data, to detect safety breaches, unusual events, or potential risks. Cloud-based solutions make storing, accessing, and analyzing this data easier, contributing to enhanced safety measures. Cloud-based solutions offer greater flexibility and scalability, allowing operators to adapt more effectively to changing demand and operational requirements. This agility enhances overall operational efficiency and responsiveness.
Thus, the integration of big data analytics and cloud computing represents a significant opportunity for the growth of rolling stock management market share in Europe. It enhances operational efficiency, safety, and passenger experience while providing data-driven insights for better decision-making. As the adoption of these technologies grows, the rolling stock management market is likely to experience continued expansion and innovation, ultimately delivering more efficient and reliable rail transportation systems.
Major stakeholders in the rolling stock management market ecosystem include rail manufacturers, infrastructure developers, system integrators, maintenance service providers, and end users. The rail manufacturers operating in the rolling stock management market offers the development and maintenance services of the rail management. In addition, the infrastructure developers are engaged in the development and management of infrastructure management which includes station infrastructure, control room infrastructure, the development of the machines installed on the station and more. The system integrators with the help of sensors, cameras, software and more integrates the rail and station infrastructures which are further maintained by the maintenance service providers.
Alstom SA, Hitachi Rail Ltd, ABB Ltd, Mitsubishi Electric Corp, Siemens Mobility GmbH, Talgo SA, Thales SA, Toshiba Infrastructure Systems and Solutions Corp, Trimble Inc, and LocoTech LLC are among the key Europe rolling stock management market players profiled during the market study. Many companies are investing in rolling stock management owing to the potential improvements related to accuracy, operational efficiency, and timely order fulfillment of the rolling stocks. In addition, several other important rolling stock management market players operating in the ecosystem were studied and analyzed during this market research study to get a holistic overview of the market.
1. INTRODUCTION
1.1 The Insight Partners Research Report Guidance
1.2 Market Segmentation
2. EXECUTIVE SUMMARY
2.1 Key Insights
2.2 Market Attractiveness
3. RESEARCH METHODOLOGY
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. ROLLING STOCK MANAGEMENT MARKET LANDSCAPE
4.1 Overview
4.2 PEST Analysis
4.3 Ecosystem Analysis
4.3.1 Rolling Stock Maintenance Service Providers
5. ROLLING STOCK MANAGEMENT MARKET - KEY INDUSTRY DYNAMICS
5.1 Key Market Drivers:
5.1.1 Rising use of predictive and condition monitoring
5.1.2 Digital transformation of rolling stock management
5.1.3 Growing adoption of real-time management solutions
5.2 Key Market Challenges
5.2.1 Complex Integration
5.2.2 Cyber Security Risks
5.3 Key Market Opportunities
5.3.1 Rising government investment in rail projects
5.3.2 Growing High-Speed rail projects in Poland
5.4 Key Market Trend
5.4.1 Integration of Big Data analytics and Cloud Computing
5.5 Impact of Drivers And Restraints:
6. ROLLING STOCK MANAGEMENT MARKET – REGIONAL MARKET ANALYSIS
6.1 Rolling Stock Management Market Revenue (US$ Mn), 2020 – 2030
6.2 Rolling Stock Management Market Forecast And Analysis
7. EUROPE ROLLING STOCK MANAGEMENT MARKET REVENUE ANALYSIS - BY MANAGEMENT TYPE
7.1 Overview
7.2 Europe Rolling Stock Management Market, by Management type (2022 and 2030)
7.3 Rail management
7.3.1 Remote Diagnostic Management
7.3.1.1 Overview
7.3.1.2 Remote Diagnostic Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.2 Wayside Management
7.3.2.1 Overview
7.3.2.2 Wayside Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.3 Train Management
7.3.3.1 Overview
7.3.3.2 Train Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.4 Asset Management
7.3.4.1 Overview
7.3.4.2 Asset Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.5 Cab Advisory
7.3.5.1 Overview
7.3.5.2 Cab Advisory: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.6 Others
7.3.6.1 Overview
7.3.6.2 Others: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4 Infrastructure Management
7.4.1 Control Room Management
7.4.1.1 Overview
7.4.1.2 Control Room Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4.2 Station Management
7.4.2.1 Overview
7.4.2.2 Station Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4.3 Automatic Fare Collection Management
7.4.3.1 Overview
7.4.3.2 Automatic Fare Collection Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4.4 Others
7.4.4.1 Overview
7.4.4.2 Others: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
8. ROLLING STOCK MANAGEMENT MARKET ANALYSIS – MAINTENANCE SERVICE
8.1 Overview
8.2 Europe Rolling Stock Management Market, by Maintenance Service (2022 and 2030)
8.3 Corrective Maintenance
8.3.1 Overview
8.3.2 Corrective Maintenance Market Volume, Revenue and Forecast to 2030 (US$ Mn)
8.4 Preventive Maintenance
8.4.1 Overview
8.4.2 Preventive Maintenance: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
8.5 Predictive Maintenance
8.5.1 Overview
8.5.2 Predictive Maintenance: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
9. EUROPE ROLLING STOCK MANAGEMENT MARKET – REGIONAL ANALYSIS
9.1 Overview
9.1.1 Europe Rolling Stock Management Market Breakdown by Country
9.1.2 United Kingdom Rolling Stock Management Market Revenue and Forecasts To 2030 (US$ Mn)
9.1.2.1 United Kingdom Rolling Stock Management Market Breakdown by Management Type
9.1.2.1.1 United Kingdom Rolling Stock Management Market Breakdown by Rail Management
9.1.2.1.2 United Kingdom Rolling Stock Management Market Breakdown by Infrastructure Management
9.1.2.2 United Kingdom Rolling Stock Management Market Breakdown by Maintenance Services
9.1.3 Russia Rolling Stock Management Market Revenue and Forecasts To 2030 (US$ Mn)
9.1.3.1 Russia Rolling Stock Management Market Breakdown by Management Type
9.1.3.1.1 Russia Rolling Stock Management Market Breakdown by Rail Management
9.1.3.1.2 Russia Rolling Stock Management Market Breakdown by Infrastructure Management
9.1.3.2 Russia Rolling Stock Management Market Breakdown by Maintenance Services
9.1.4 Poland Rolling Stock Management Market Revenue and Forecasts To 2030 (US$ Mn)
9.1.4.1 Poland Rolling Stock Management Market Breakdown by Management Type
9.1.4.1.1 Poland Rolling Stock Management Market Breakdown by Rail Management
9.1.4.1.2 Poland Rolling Stock Management Market Breakdown by Infrastructure Management
9.1.4.2 Poland Rolling Stock Management Market Breakdown by Maintenance Services
10. COVID-19 IMPACT ANALYSIS
11. COMPETITIVE LANDSCAPE
11.1 Company Positioning & Concentration
12. ROLLING STOCK MANAGEMENT MARKET INDUSTRY LANDSCAPE
12.1 Overview
12.2 Market Initiative
13. COMPANY PROFILES
13.1 Alstom SA
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 ABB Ltd
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 Hitachi Rail Ltd
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 Mitsubishi Electric Corp
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 Siemens Mobility GmbH
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 Talgo SA
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 Thales SA
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Stadler Rail AG
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Trimble Inc
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 Loram UK Ltd
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Products and Services
13.10.4 Financial Overview
13.10.5 SWOT Analysis
13.10.6 Key Developments
14. APPENDIX
14.1 About US
14.2 Glossary of Terms
1.1 The Insight Partners Research Report Guidance
1.2 Market Segmentation
2. EXECUTIVE SUMMARY
2.1 Key Insights
2.2 Market Attractiveness
3. RESEARCH METHODOLOGY
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. ROLLING STOCK MANAGEMENT MARKET LANDSCAPE
4.1 Overview
4.2 PEST Analysis
4.3 Ecosystem Analysis
4.3.1 Rolling Stock Maintenance Service Providers
5. ROLLING STOCK MANAGEMENT MARKET - KEY INDUSTRY DYNAMICS
5.1 Key Market Drivers:
5.1.1 Rising use of predictive and condition monitoring
5.1.2 Digital transformation of rolling stock management
5.1.3 Growing adoption of real-time management solutions
5.2 Key Market Challenges
5.2.1 Complex Integration
5.2.2 Cyber Security Risks
5.3 Key Market Opportunities
5.3.1 Rising government investment in rail projects
5.3.2 Growing High-Speed rail projects in Poland
5.4 Key Market Trend
5.4.1 Integration of Big Data analytics and Cloud Computing
5.5 Impact of Drivers And Restraints:
6. ROLLING STOCK MANAGEMENT MARKET – REGIONAL MARKET ANALYSIS
6.1 Rolling Stock Management Market Revenue (US$ Mn), 2020 – 2030
6.2 Rolling Stock Management Market Forecast And Analysis
7. EUROPE ROLLING STOCK MANAGEMENT MARKET REVENUE ANALYSIS - BY MANAGEMENT TYPE
7.1 Overview
7.2 Europe Rolling Stock Management Market, by Management type (2022 and 2030)
7.3 Rail management
7.3.1 Remote Diagnostic Management
7.3.1.1 Overview
7.3.1.2 Remote Diagnostic Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.2 Wayside Management
7.3.2.1 Overview
7.3.2.2 Wayside Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.3 Train Management
7.3.3.1 Overview
7.3.3.2 Train Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.4 Asset Management
7.3.4.1 Overview
7.3.4.2 Asset Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.5 Cab Advisory
7.3.5.1 Overview
7.3.5.2 Cab Advisory: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.3.6 Others
7.3.6.1 Overview
7.3.6.2 Others: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4 Infrastructure Management
7.4.1 Control Room Management
7.4.1.1 Overview
7.4.1.2 Control Room Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4.2 Station Management
7.4.2.1 Overview
7.4.2.2 Station Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4.3 Automatic Fare Collection Management
7.4.3.1 Overview
7.4.3.2 Automatic Fare Collection Management: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
7.4.4 Others
7.4.4.1 Overview
7.4.4.2 Others: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
8. ROLLING STOCK MANAGEMENT MARKET ANALYSIS – MAINTENANCE SERVICE
8.1 Overview
8.2 Europe Rolling Stock Management Market, by Maintenance Service (2022 and 2030)
8.3 Corrective Maintenance
8.3.1 Overview
8.3.2 Corrective Maintenance Market Volume, Revenue and Forecast to 2030 (US$ Mn)
8.4 Preventive Maintenance
8.4.1 Overview
8.4.2 Preventive Maintenance: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
8.5 Predictive Maintenance
8.5.1 Overview
8.5.2 Predictive Maintenance: Europe Rolling Stock Management Market Revenue and Forecast to 2030 (US$ Million)
9. EUROPE ROLLING STOCK MANAGEMENT MARKET – REGIONAL ANALYSIS
9.1 Overview
9.1.1 Europe Rolling Stock Management Market Breakdown by Country
9.1.2 United Kingdom Rolling Stock Management Market Revenue and Forecasts To 2030 (US$ Mn)
9.1.2.1 United Kingdom Rolling Stock Management Market Breakdown by Management Type
9.1.2.1.1 United Kingdom Rolling Stock Management Market Breakdown by Rail Management
9.1.2.1.2 United Kingdom Rolling Stock Management Market Breakdown by Infrastructure Management
9.1.2.2 United Kingdom Rolling Stock Management Market Breakdown by Maintenance Services
9.1.3 Russia Rolling Stock Management Market Revenue and Forecasts To 2030 (US$ Mn)
9.1.3.1 Russia Rolling Stock Management Market Breakdown by Management Type
9.1.3.1.1 Russia Rolling Stock Management Market Breakdown by Rail Management
9.1.3.1.2 Russia Rolling Stock Management Market Breakdown by Infrastructure Management
9.1.3.2 Russia Rolling Stock Management Market Breakdown by Maintenance Services
9.1.4 Poland Rolling Stock Management Market Revenue and Forecasts To 2030 (US$ Mn)
9.1.4.1 Poland Rolling Stock Management Market Breakdown by Management Type
9.1.4.1.1 Poland Rolling Stock Management Market Breakdown by Rail Management
9.1.4.1.2 Poland Rolling Stock Management Market Breakdown by Infrastructure Management
9.1.4.2 Poland Rolling Stock Management Market Breakdown by Maintenance Services
10. COVID-19 IMPACT ANALYSIS
11. COMPETITIVE LANDSCAPE
11.1 Company Positioning & Concentration
12. ROLLING STOCK MANAGEMENT MARKET INDUSTRY LANDSCAPE
12.1 Overview
12.2 Market Initiative
13. COMPANY PROFILES
13.1 Alstom SA
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 ABB Ltd
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 Hitachi Rail Ltd
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 Mitsubishi Electric Corp
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 Siemens Mobility GmbH
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 Talgo SA
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 Thales SA
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Stadler Rail AG
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Trimble Inc
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 Loram UK Ltd
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Products and Services
13.10.4 Financial Overview
13.10.5 SWOT Analysis
13.10.6 Key Developments
14. APPENDIX
14.1 About US
14.2 Glossary of Terms
