Autonomous Train Technology Market
PUBLISHED: 2024 ID: SMRC25988
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Autonomous Train Technology Market

Autonomous Train Technology Market Forecasts to 2030 - Global Analysis By Train Type (Metro Trains, Light Rail/Trams, Monorails, High-Speed Trains, Freight Trains and Other Train Types), Component, Level of Automation, Technology, Application, End User and By Geography

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4.7 (71 reviews)
Published: 2024 ID: SMRC25988

This report covers the impact of COVID-19 on this global market
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Years Covered

2021-2030

Estimated Year Value (2023)

US $2.15 BN

Projected Year Value (2030)

US $3.21 BN

CAGR (2023 - 2030)

6.4%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

Asia Pacific

Highest Growing Market

North America


According to Stratistics MRC, the Global Autonomous Train Technology Market is accounted for $2.15 billion in 2023 and is expected to reach $3.21 billion by 2030 growing at a CAGR of 6.4% during the forecast period. Autonomous train technology, also known as driverless or self-driving trains, leverages advanced systems to navigate tracks without human intervention. By eliminating the need for human operators, autonomous trains offer benefits such as increased safety, efficiency, and cost-effectiveness. They have the potential to revolutionize transportation systems by reducing human error and enhancing overall reliability. They also offer increased flexibility in managing rail networks and potentially lower operational costs while enhancing the overall passenger experience.

According to the Modular Urban Guided Rail System (MODURBAN) statement, the Government of India allocated a budget of US$ 29.0 Bn in FY 2023-24 for the production of 400 new energy-efficient ‘Vande Bharat’ trains.

Market Dynamics: 

Driver: 

Urbanization and population growth

As cities expand and populations increase, the demand for efficient, safe, and sustainable transportation solutions escalates. Autonomous trains offer a promising solution by optimizing rail networks, enhancing capacity, reducing congestion, and mitigating environmental impact. Moreover, they offer potential cost savings and increased reliability compared to traditional train systems. With urbanization and population growth trends intensifying, the adoption of autonomous train technology is expected to accelerate, shaping the future of public transportation.

Restraint:

Cybersecurity risks

Cybersecurity risks in autonomous train technology include hacking of control systems, unauthorized access to onboard networks, and manipulation of train data. These attacks could lead to potential disruptions in train operations, compromise passenger safety, and even result in physical damage to infrastructure. Concerns over these vulnerabilities deter investors and operators from adopting autonomous train systems, hampering market growth.

Opportunity:

Global connectivity and trade

The seamless exchange of goods and services across borders necessitates efficient and reliable transportation systems, prompting the adoption of autonomous train technology. Enhanced connectivity enables real-time data exchange, facilitating remote monitoring and control of trains, optimizing operations, and ensuring safety. Moreover, as global trade continues to expand, there's a growing demand for cost-effective and environmentally sustainable transportation solutions, further propelling the growth of autonomous train technology in the market.

Threat:

High initial capital investments

Implementing autonomous train systems requires substantial upfront investments in infrastructure, technology development, and regulatory compliance. These costs can deter potential investors and operators, delaying widespread adoption of autonomous train technology. Moreover, the risk associated with such large investments may discourage stakeholders from committing to the transition, slowing down the advancement of the market.

Covid-19 Impact

The covid-19 pandemic has both positively and negatively impacted the autonomous train technology market. On one hand, the pandemic accelerated the demand for automation in transportation to minimize human contact and ensure operational continuity. On the other hand, supply chain disruptions, budget constraints, and reduced passenger demand have slowed down investment and deployment of autonomous train technology, causing market fluctuations. Overall, the market has experienced a mix of challenges and opportunities amidst the pandemic's uncertainties.

The fully autonomous segment is expected to be the largest during the forecast period

The fully autonomous segment is estimated to have a lucrative growth. Fully Autonomous Train Technology refers to the implementation of advanced systems that enable trains to operate without direct human intervention. These trains can autonomously navigate tracks, manage speed, detect obstacles, and ensure safety protocols are followed. By eliminating the need for onboard human operators, fully autonomous trains offer potential benefits such as increased efficiency, improved reliability, reduced operating costs, and enhanced safety. 

The urban logistics segment is expected to have the highest CAGR during the forecast period

The urban logistics segment is anticipated to witness the highest CAGR growth during the forecast period, due to its efficiency and safety. These trains, equipped with advanced sensors and AI algorithms, navigate complex urban environments without human intervention. They optimize routes, minimize energy consumption, and reduce traffic congestion, offering a sustainable solution for transporting goods in densely populated areas. This innovative technology heralds a new era of urban freight transportation, promising heightened efficiency and sustainability in logistics networks.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to urbanization, infrastructure development, and increasing demand for efficient transportation solutions. Countries like China, Japan, South Korea, and India are investing heavily in modernizing their rail networks. The region's focus on smart city initiatives and sustainable transportation further fuels the adoption of autonomous train technology. With supportive government policies and partnerships with technology providers, the Asia-Pacific region is poised to become a key market for autonomous train technology innovation and deployment.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period. Major players in the region, including the United States and Canada, are investing in autonomous train systems to modernize aging infrastructure and meet increasing transportation demands. Additionally, the push towards reducing greenhouse gas emissions and improving logistics efficiency further boosts the adoption of autonomous technology. With supportive regulatory frameworks and ongoing research and development efforts, North America is poised to witness continued expansion and innovation in the autonomous train technology market. 

Key players in the market

Some of the key players profiled in the Autonomous Train Technology Market include Alstom, Bombardier Transportation, Siemens Mobility, Thales Group, Hitachi Group, CRRC Corporation Limited, Kawasaki Heavy Industries, General Electric Company (GE), Parallel Systems, Wabtec Corporation, Mitsubishi Electric Corporation, Huawei Technologies Corporation, ABB Limited, Transdev, BNSF Railway Company.

Key Developments:

In December 2023, Parallel Systems launched autonomous rail vehicle platooning. This technology, demonstrated on a test track in Southern California, promises to revolutionize freight rail efficiency, reduce aerodynamic drag, and better utilize rail network capacity. This technology eliminates the need for traditional coupling, enabling more efficient sorting on the rail network and keeping level crossings open.

In August 2023, Thales SEC Transport launched its next generation autonomous train control signalling system TSTCBTC®. Inheriting the core advantages of the classic TSTCBTC®2.0, the new system further improves the efficiency of train control with autonomous obstacle detection, vehicle-vehicle communication, 5G and other latest technologies to make trains more intelligent and autonomous.

Train Types Covered:
• Metro Trains
• Light Rail/Trams
• Monorails
• High-Speed Trains
• Freight Trains
• Other Train Types

Components Covered:
• Cameras
• Sensors
• GPS Receivers
• Control Systems
• Actuators
• Antennas
• Other Components

Level of Automations Covered:
• Semi-Autonomous
• Fully Autonomous

Technologies Covered:
• Positive Train Control (PTC)
• Communication-Based Train Control (CBTC)
• Automatic Train Control (ATC)
• European Train Control System (ETCS)
• Automatic Train Operation (ATO)
• Other Technologies

Applications Covered:
• Freight Transport
• Emergency Response
• Urban Logistics
• Nuclear Waste Transport
• Other Applications

End Users Covered:
• Railway Operators
• Government Agencies
• Transportation Service Providers
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings: 
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary   
     
2 Preface    
 2.1 Abstract   
 2.2 Stake Holders  
 2.3 Research Scope  
 2.4 Research Methodology 
  2.4.1 Data Mining 
  2.4.2 Data Analysis 
  2.4.3 Data Validation 
  2.4.4 Research Approach 
 2.5 Research Sources  
  2.5.1 Primary Research Sources
  2.5.2 Secondary Research Sources
  2.5.3 Assumptions 
     
3 Market Trend Analysis  
 3.1 Introduction  
 3.2 Drivers   
 3.3 Restraints  
 3.4 Opportunities  
 3.5 Threats   
 3.6 Technology Analysis 
 3.7 Application Analysis 
 3.8 End User Analysis  
 3.9 Emerging Markets  
 3.10 Impact of Covid-19  
     
4 Porters Five Force Analysis  
 4.1 Bargaining power of suppliers 
 4.2 Bargaining power of buyers 
 4.3 Threat of substitutes 
 4.4 Threat of new entrants 
 4.5 Competitive rivalry  
     
5 Global Autonomous Train Technology Market, By Train Type
 5.1 Introduction  
 5.2 Metro Trains  
 5.3 Light Rail/Trams  
 5.4 Monorails  
 5.5 High-Speed Trains  
 5.6 Freight Trains  
 5.7 Other Train Types  
     
6 Global Autonomous Train Technology Market, By Component
 6.1 Introduction  
 6.2 Cameras   
 6.3 Sensors   
 6.4 GPS Receivers  
 6.5 Control Systems  
 6.6 Actuators   
 6.7 Antennas   
 6.8 Other Components  
     
7 Global Autonomous Train Technology Market, By Level of Automation
 7.1 Introduction  
 7.2 Semi-Autonomous  
 7.3 Fully Autonomous  
     
8 Global Autonomous Train Technology Market, By Technology
 8.1 Introduction  
 8.2 Positive Train Control (PTC) 
 8.3 Communication-Based Train Control (CBTC)
 8.4 Automatic Train Control (ATC) 
 8.5 European Train Control System (ETCS)
 8.6 Automatic Train Operation (ATO)
 8.7 Other Technologies  
     
9 Global Autonomous Train Technology Market, By Application
 9.1 Introduction  
 9.2 Freight Transport  
 9.3 Emergency Response 
 9.4 Urban Logistics  
 9.5 Nuclear Waste Transport 
 9.6 Other Applications  
     
10 Global Autonomous Train Technology Market, By End User
 10.1 Introduction  
 10.2 Railway Operators  
 10.3 Government Agencies 
 10.4 Transportation Service Providers
 10.5 Other End Users  
     
11 Global Autonomous Train Technology Market, By Geography
 11.1 Introduction  
 11.2 North America  
  11.2.1 US  
  11.2.2 Canada  
  11.2.3 Mexico  
 11.3 Europe   
  11.3.1 Germany  
  11.3.2 UK  
  11.3.3 Italy  
  11.3.4 France  
  11.3.5 Spain  
  11.3.6 Rest of Europe 
 11.4 Asia Pacific  
  11.4.1 Japan  
  11.4.2 China  
  11.4.3 India  
  11.4.4 Australia  
  11.4.5 New Zealand 
  11.4.6 South Korea 
  11.4.7 Rest of Asia Pacific 
 11.5 South America  
  11.5.1 Argentina 
  11.5.2 Brazil  
  11.5.3 Chile  
  11.5.4 Rest of South America
 11.6 Middle East & Africa 
  11.6.1 Saudi Arabia 
  11.6.2 UAE  
  11.6.3 Qatar  
  11.6.4 South Africa 
  11.6.5 Rest of Middle East & Africa
     
12 Key Developments   
 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
 12.2 Acquisitions & Mergers 
 12.3 New Product Launch 
 12.4 Expansions  
 12.5 Other Key Strategies 
     
13 Company Profiling   
 13.1 Alstom   
 13.2 Bombardier Transportation 
 13.3 Siemens Mobility  
 13.4 Thales Group  
 13.5 Hitachi Group  
 13.6 CRRC Corporation Limited 
 13.7 Kawasaki Heavy Industries 
 13.8 General Electric Company (GE) 
 13.9 Parallel Systems  
 13.10 Wabtec Corporation 
 13.11 Mitsubishi Electric Corporation
 13.12 Huawei Technologies Corporation
 13.13 ABB Limited  
 13.14 Transdev   
 13.15 BNSF Railway Company 
     
List of Tables    
1 Global Autonomous Train Technology Market Outlook, By Region (2021-2030) ($MN)
2 Global Autonomous Train Technology Market Outlook, By Train Type (2021-2030) ($MN)
3 Global Autonomous Train Technology Market Outlook, By Metro Trains (2021-2030) ($MN)
4 Global Autonomous Train Technology Market Outlook, By Light Rail/Trams (2021-2030) ($MN)
5 Global Autonomous Train Technology Market Outlook, By Monorails (2021-2030) ($MN)
6 Global Autonomous Train Technology Market Outlook, By High-Speed Trains (2021-2030) ($MN)
7 Global Autonomous Train Technology Market Outlook, By Freight Trains (2021-2030) ($MN)
8 Global Autonomous Train Technology Market Outlook, By Other Train Types (2021-2030) ($MN)
9 Global Autonomous Train Technology Market Outlook, By Component (2021-2030) ($MN)
10 Global Autonomous Train Technology Market Outlook, By Cameras (2021-2030) ($MN)
11 Global Autonomous Train Technology Market Outlook, By Sensors (2021-2030) ($MN)
12 Global Autonomous Train Technology Market Outlook, By GPS Receivers (2021-2030) ($MN)
13 Global Autonomous Train Technology Market Outlook, By Control Systems (2021-2030) ($MN)
14 Global Autonomous Train Technology Market Outlook, By Actuators (2021-2030) ($MN)
15 Global Autonomous Train Technology Market Outlook, By Antennas (2021-2030) ($MN)
16 Global Autonomous Train Technology Market Outlook, By Other Components (2021-2030) ($MN)
17 Global Autonomous Train Technology Market Outlook, By Level of Automation (2021-2030) ($MN)
18 Global Autonomous Train Technology Market Outlook, By Semi-Autonomous (2021-2030) ($MN)
19 Global Autonomous Train Technology Market Outlook, By Fully Autonomous (2021-2030) ($MN)
20 Global Autonomous Train Technology Market Outlook, By Technology (2021-2030) ($MN)
21 Global Autonomous Train Technology Market Outlook, By Positive Train Control (PTC) (2021-2030) ($MN)
22 Global Autonomous Train Technology Market Outlook, By Communication-Based Train Control (CBTC) (2021-2030) ($MN)
23 Global Autonomous Train Technology Market Outlook, By Automatic Train Control (ATC) (2021-2030) ($MN)
24 Global Autonomous Train Technology Market Outlook, By European Train Control System (ETCS) (2021-2030) ($MN)
25 Global Autonomous Train Technology Market Outlook, By Automatic Train Operation (ATO) (2021-2030) ($MN)
26 Global Autonomous Train Technology Market Outlook, By Other Technologies (2021-2030) ($MN)
27 Global Autonomous Train Technology Market Outlook, By Application (2021-2030) ($MN)
28 Global Autonomous Train Technology Market Outlook, By Freight Transport (2021-2030) ($MN)
29 Global Autonomous Train Technology Market Outlook, By Emergency Response (2021-2030) ($MN)
30 Global Autonomous Train Technology Market Outlook, By Urban Logistics (2021-2030) ($MN)
31 Global Autonomous Train Technology Market Outlook, By Nuclear Waste Transport (2021-2030) ($MN)
32 Global Autonomous Train Technology Market Outlook, By Other Applications (2021-2030) ($MN)
33 Global Autonomous Train Technology Market Outlook, By End User (2021-2030) ($MN)
34 Global Autonomous Train Technology Market Outlook, By Railway Operators (2021-2030) ($MN)
35 Global Autonomous Train Technology Market Outlook, By Government Agencies (2021-2030) ($MN)
36 Global Autonomous Train Technology Market Outlook, By Transportation Service Providers (2021-2030) ($MN)
37 Global Autonomous Train Technology Market Outlook, By Other End Users (2021-2030) ($MN)
     
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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