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Global Rolling Stock Market to reach USD 68.62 Billion by the end of 2029

Global Rolling Stock Market Size study & Forecast, by Product Type (Locomotive, Rapid Transit Vehicle, Wagons) by Application Type (Passenger Rail, Freight Rail) and Regional Analysis, 2022-2029

Product Code: ALTAMC-46839339
Publish Date: 10-04-2023
Page: 200

Global Rolling Stock Market is valued at approximately USD 51.31 Billion in 2021 and is anticipated to grow with a healthy growth rate of more than 3.7% over the forecast period 2022-2029. The term “rolling stock” is used in the railway transportation sector to describe any vehicle that can move on rails. It comprises both powered and unpowered vehicles, such as freight wagons, passenger coaches, and others. The Rolling Stock Market is expanding because of factors such as the application of advanced maintenance and data analytics, as well as rising passenger transportation to avoid traffic congestion which leads to market growth.

According to Statista, the global big data analytics market was valued at over USD 240 billion in 2021. The market is expected to see significant growth over the coming years, with a forecasted market value of over USD 650 billion by 2029. Also, the rising development and testing of autonomous trains, as well as big data usage in the rail industry will provide lucrative growth opportunities for the market during the forecast period. However, the existing rolling stock repair and restoration hamper market growth during the forecast period of 2022-2029.

The key regions considered for the Global Rolling Stock Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the region’s growing population increasing the use of passenger trains for commuting. Additionally, increased government investment in rail frights utilized for goods transit is related to increased trade in the region. The Rest of the world is expected to grow with the highest CAGR during the forecast period, owing to factors such as the growing demand for a strong railway system in the rest of the globe region to carry goods and commuters is a driving force in the region’s rolling stock market expansion.

Major market player included in this report are:

CRRC Corporation Limited
Bombardier Transportation
Siemens Mobility
Hyundai Rotem Company
GE Transportation
Wabtec Corporation
Hitachi Railway Systems
Stadler Rail AG

Recent Developments in the Market:
 In July 2018, Bombardier Transportation launched its new Bombardier Traxx 3 platform in Kassel, Germany. The new Traxx MS3 locomotive, which has novel features such as the Last Mile function, which allows it to bridge non-electrified track sections, is designed to improve energy efficiency and flexibility in the rail freight transportation segment.
 In May 2019, Alstom received an order for 27 Coradia iLint hydrogen trains from the Rhein-Main-Verkehrsverbund (RMV) in Germany. The Coradia iLint, the world’s first hydrogen fuel cell-powered passenger train, offers clean, sustainable propulsion with a unique emissions-free solution for non-electrified lines without sacrificing performance.

Global Rolling Stock Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Product Type, Application Type, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Product Type:
Rapid Transit Vehicle

By Application Type:
Passenger Rail
Freight Rail

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Rolling Stock Market, by Region, 2019-2029 (USD Billion)
1.2.2. Rolling Stock Market, by Product Type, 2019-2029 (USD Billion)
1.2.3. Rolling Stock Market, by Application Type, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Rolling Stock Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Rolling Stock Market Dynamics
3.1. Rolling Stock Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Application of Advanced Maintenance and Data Analytics Rising Passenger Transportation to Avoid Traffic Congestion
3.1.2. Market Challenges Existing Rolling Stock Repair and Restoration
3.1.3. Market Opportunities Rising development and testing of autonomous trains Big data usage in the rail industry

Chapter 4. Global Rolling Stock Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Rolling Stock Market, by Product Type
6.1. Market Snapshot
6.2. Global Rolling Stock Market by Product Type, Performance – Potential Analysis
6.3. Global Rolling Stock Market Estimates & Forecasts by Product Type 2019-2029 (USD Billion)
6.4. Rolling Stock Market, Sub Segment Analysis
6.4.1. Locomotive
6.4.2. Rapid Transit Vehicle
6.4.3. Wagons
Chapter 7. Global Rolling Stock Market, by Application Type
7.1. Market Snapshot
7.2. Global Rolling Stock Market by Application Type, Performance – Potential Analysis
7.3. Global Rolling Stock Market Estimates & Forecasts by Application Type 2019-2029 (USD Billion)
7.4. Rolling Stock Market, Sub Segment Analysis
7.4.1. Passenger Rail
7.4.2. Freight Rail
Global Rolling Stock Market, Regional Analysis
7.5. Rolling Stock Market, Regional Market Snapshot
7.6. North America Rolling Stock Market
7.6.1. U.S. Rolling Stock Market Product Type breakdown estimates & forecasts, 2019-2029 Application Type breakdown estimates & forecasts, 2019-2029
7.6.2. Canada Rolling Stock Market
7.7. Europe Rolling Stock Market Snapshot
7.7.1. U.K. Rolling Stock Market
7.7.2. Germany Rolling Stock Market
7.7.3. France Rolling Stock Market
7.7.4. Spain Rolling Stock Market
7.7.5. Italy Rolling Stock Market
7.7.6. Rest of Europe Rolling Stock Market
7.8. Asia-Pacific Rolling Stock Market Snapshot
7.8.1. China Rolling Stock Market
7.8.2. India Rolling Stock Market
7.8.3. Japan Rolling Stock Market
7.8.4. Australia Rolling Stock Market
7.8.5. South Korea Rolling Stock Market
7.8.6. Rest of Asia Pacific Rolling Stock Market
7.9. Latin America Rolling Stock Market Snapshot
7.9.1. Brazil Rolling Stock Market
7.9.2. Mexico Rolling Stock Market
7.10. Rest of The World Rolling Stock Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. CRRC Corporation Limited Key Information Overview Financial (Subject to Data Availability) Product Type Summary Recent Developments
8.2.2. Alstom
8.2.3. Bombardier Transportation
8.2.4. Siemens Mobility
8.2.5. Hyundai Rotem Company
8.2.6. GE Transportation
8.2.7. Wabtec Corporation
8.2.8. Hitachi Railway Systems
8.2.9. Transmashholding
8.2.10. Stadler Rail AG
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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