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Global Metro Rail Infrastructure Market to reach USD 68.86 billion by the end of 2030

Global Metro Rail Infrastructure Market Size Study & Forecast, by Structure (Underground, Elevated, At-grade), by Infrastructure (Alignment & Trackwork, Station Building, Signaling & Telecommunication, Rolling Stock, Others), and Regional Analysis, 2023-2030

Product Code: ALTL-95782959
Publish Date: 10-03-2024
Page: 200

Global Metro Rail Infrastructure Market is valued at approximately USD 38.61 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 7.5% during the forecast period 2023-2030. Metro rail infrastructure is the physical components and facilities that constitute a metro or subway system within a city or urban area. Metro rail systems utilize trains or rail vehicles to facilitate passenger transportation within urban or city environments. The infrastructure of metro rail networks serves a crucial function in addressing urban transportation needs by offering rapid, effective, and eco-friendly mass transit options. This infrastructure aids in mitigating traffic congestion and advancing environmental sustainability goals. Advanced signaling and control systems ensure safe and efficient operation, while electrification systems power the trains and support various functions. Safety and security measures are integrated throughout the infrastructure, and maintenance facilities are in place to keep the system running smoothly. The Metro Rail Infrastructure Market is expanding because of factors such as increasing traffic congestion, stipulating fuel prices and environmental concerns, coupled with the increasing government initiatives for improving public transportation infrastructure.

In addition, the metro rail infrastructure industry experiences significant growth driven by the escalating rates of urbanization and the consequent necessity for efficient and sustainable urban transportation solutions. According to the United Nations Conference on Trade and Development (UNCTAD) in 2022 the global population exceeded 8 billion, with 57% residing in urban areas. The growing population and density of cities worldwide underscore the essential need for reliable, high-capacity mass transit systems such as metro rail. Metro rail networks emerge as a vital remedy to the mounting challenge of urban traffic congestion. By furnishing a rapid and dependable alternative to private vehicle travel, metro rail systems play a pivotal role in mitigating traffic issues and diminishing travel times. Thus, these aforementioned factors are propelling the growth of the Metro Rail Infrastructure Market during the estimated period of 2023-2030. Moreover, the rising focus on urban renewal and regeneration, as well as the surging demand for intermodal connectivity present various lucrative opportunities over the forecast years. However, the high upfront cost associated with metro rail project deployment and the integration with existing infrastructure are challenging the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Metro Rail Infrastructure Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 owing to the rising development and expansion of metro rail infrastructure, growing focus on Public-Private Partnerships (PPPs), and high population density and land use policies in urban areas. As urban areas become more densely populated, the need for efficient mass transit systems, such as metro rail, intensifies to tackle congestion and transportation hurdles. According to World Bank statistics, India’s urban population constitutes 36% of the total population, marking a 4% increase over the past decade. Whereas, North America is expected to grow at a significant CAGR over the forecast years. Government backing and investment are pivotal in driving the expansion and enhancement of metro infrastructure. Financial support from federal, state, and local authorities is frequently indispensable for the planning, construction, and upkeep of metro systems. For instance, in November 2023, the Biden Administration allocated USD 1.64 billion to support the enhancement of Metro-North Railroad’s Penn Station access. This initiative includes the addition of four new stations in the Bronx, aiming to improve transportation infrastructure and connectivity in the region.

Major market players included in this report are:
Siemens AG (Germany)
Alstom SA (France)
CRRC Corporation Limited (China)
Thales Group (France)
Hitachi Rail STS (Italy)
CAF Group (Spain)
Hyundai Rotem Company (South Korea)
Stadler Rail AG (Switzerland)
Toshiba Infrastructure Systems & Solutions Corporation (Japan)
Kawasaki Heavy Industries, Ltd. (Japan)

Recent Developments in the Market:
Ø In December 2023, Alstom, in collaboration with Electra and Dan Public Transportation, signed a deal with Metropolitan Mass Transit System Ltd. to design, build, and maintain the USD 2.8 billion Tel Aviv Metropolitan LRT (Light Rail Transit) Green Line.
Ø In July 2023, CAF finalized a contract with the Naples Metro System authorities to provide six rolling stock units, along with depot components and a three-year maintenance agreement.
Ø In March 2023, Chennai Metro Rail awarded Hitachi Rail a USD 200 million contract for the provision of digital signaling in Phase 2 of the Metro Rail Project. As part of this agreement, Hitachi Rail is tasked with deploying its Communication-Based Train Control (CBTC) system, coupled with Automatic Train Operation (ATO), enabling the seamless operation of metro rails without a human driver.

Global Metro Rail Infrastructure Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Structure, Infrastructure, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü 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 Structure:

By Infrastructure:
Alignment & Trackwork
Station Building
Signaling & Telecommunication
Rolling Stock

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Metro Rail Infrastructure Market, by Region, 2020-2030 (USD Billion)
1.2.2. Metro Rail Infrastructure Market, by Structure, 2020-2030 (USD Billion)
1.2.3. Metro Rail Infrastructure Market, by Infrastructure, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Metro Rail Infrastructure Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Metro Rail Infrastructure Market Dynamics
3.1. Metro Rail Infrastructure Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing government initiatives to improve public transportation infrastructure Rising urbanization and population growth
3.1.2. Market Challenges High upfront cost associated with metro rail project deployment Integration with existing infrastructure
3.1.3. Market Opportunities Rising focus on urban renewal and regeneration Surging demand for intermodal connectivity
Chapter 4. Global Metro Rail Infrastructure 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. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Metro Rail Infrastructure Market, by Structure
5.1. Market Snapshot
5.2. Global Metro Rail Infrastructure Market by Structure, Performance – Potential Analysis
5.3. Global Metro Rail Infrastructure Market Estimates & Forecasts by Structure 2020-2030 (USD Billion)
5.4. Metro Rail Infrastructure Market, Sub Segment Analysis
5.4.1. Underground
5.4.2. Elevated
5.4.3. At-grade
Chapter 6. Global Metro Rail Infrastructure Market, by Infrastructure
6.1. Market Snapshot
6.2. Global Metro Rail Infrastructure Market by Infrastructure, Performance – Potential Analysis
6.3. Global Metro Rail Infrastructure Market Estimates & Forecasts by Infrastructure 2020-2030 (USD Billion)
6.4. Metro Rail Infrastructure Market, Sub Segment Analysis
6.4.1. Alignment & Trackwork
6.4.2. Station Building
6.4.3. Signaling & Telecommunication
6.4.4. Rolling Stock
6.4.5. Others
Chapter 7. Global Metro Rail Infrastructure Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Metro Rail Infrastructure Market, Regional Market Snapshot
7.4. North America Metro Rail Infrastructure Market
7.4.1. U.S. Metro Rail Infrastructure Market Structure breakdown estimates & forecasts, 2020-2030 Infrastructure breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Metro Rail Infrastructure Market
7.5. Europe Metro Rail Infrastructure Market Snapshot
7.5.1. U.K. Metro Rail Infrastructure Market
7.5.2. Germany Metro Rail Infrastructure Market
7.5.3. France Metro Rail Infrastructure Market
7.5.4. Spain Metro Rail Infrastructure Market
7.5.5. Italy Metro Rail Infrastructure Market
7.5.6. Rest of Europe Metro Rail Infrastructure Market
7.6. Asia-Pacific Metro Rail Infrastructure Market Snapshot
7.6.1. China Metro Rail Infrastructure Market
7.6.2. India Metro Rail Infrastructure Market
7.6.3. Japan Metro Rail Infrastructure Market
7.6.4. Australia Metro Rail Infrastructure Market
7.6.5. South Korea Metro Rail Infrastructure Market
7.6.6. Rest of Asia Pacific Metro Rail Infrastructure Market
7.7. Latin America Metro Rail Infrastructure Market Snapshot
7.7.1. Brazil Metro Rail Infrastructure Market
7.7.2. Mexico Metro Rail Infrastructure Market
7.8. Middle East & Africa Metro Rail Infrastructure Market
7.8.1. Saudi Arabia Metro Rail Infrastructure Market
7.8.2. South Africa Metro Rail Infrastructure Market
7.8.3. Rest of Middle East & Africa Metro Rail Infrastructure Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Siemens AG (Germany) Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Alstom SA (France)
8.3.3. CRRC Corporation Limited (China)
8.3.4. Thales Group (France)
8.3.5. Hitachi Rail STS (Italy)
8.3.6. CAF Group (Spain)
8.3.7. Hyundai Rotem Company (South Korea)
8.3.8. Stadler Rail AG (Switzerland)
8.3.9. Toshiba Infrastructure Systems & Solutions Corporation (Japan)
8.3.10. Kawasaki Heavy Industries, Ltd. (Japan)
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.
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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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