Autonomous Train Market
Autonomous Train Market Forecasts to 2028 – Global Analysis By Train Type (Light Rail, Metro/Monorail, High-Speed Rail/Bullet Train), Technology (Automatic Train Control (ATC), Automatic Train Operation (ATO)) and By Geography
|
Years Covered |
2020-2028 |
|
Estimated Year Value (2021) |
US $7,865.14 MN |
|
Projected Year Value (2028) |
US $13,133.86 MN |
|
CAGR (2021 - 2028) |
7.6% |
|
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 |
Europe |
According to Stratistics MRC, the Global Autonomous Train Market is accounted for $7,865.14 million in 2021 and is expected to reach $13,133.86 million by 2028 growing at a CAGR of 7.6% during the forecast period. Autonomous trains, also known as driverless trains, are operated automatically without any human intervention, and are monitored from the control station. In case of any obstacle incurred in the route, a message is sent to operational control center and to the attendant on the train, to stop the train. In comparison to manually controlled trains, autonomous trains have improved acceleration capabilities, enhanced system efficiency, and reduced ongoing operational costs while providing consistent train speed and safety.
Market Dynamics:
Driver:
Increasing electrification and automation of the transportation industry
The increasing electrification and automation of the transportation industry is one of the key factors driving the growth of the market. Autonomous trains are integrated with advanced systems that provide improved control over stopping, departure and movement of the locomotive between stations. They also offer automatic and sensor-based opening and closing of doors to enhance passenger safety and convenience. Moreover, the rising demand for safe, secure, and efficient transport systems is providing a thrust to the market growth. Autonomous trains run on ground and underground levels and are highly secured by walls and fences to prevent trespassing and fatalities.
Restraint:
Concerns regarding hacking
The possibility of hacking and the high cost of the autonomous train are the major restraints for the growth of the autonomous train technology market.
Opportunity:
Digitalization and urbanization
Digitalization and urbanization are some of the megatrends that are redefining the utilisation of energy in the transportation sector. Connectivity, analytics, shared mobility, and mobility-as-a-service system within rail mode are some of the upcoming trends. Digitalization has been at the forefront in reducing the distance and time between trains with intensive exploitation of tracks eventually providing better end-user experience while maintaining safety standards. The rail transport system is playing a pivotal role in moving passengers and freight amidst the high demand and heavily used routes. Closed and secured lines are already witnessing the deployment of the automated rails.
Threat:
Lack of proper infrastructure
As the market is still in a nascent stage, the need for huge investments for R&D of the equipment is anticipated to be the major challenge for the growth of the market. Lack of proper infrastructure is also hindering the market growth during the forecast period.
The passenger train segment is expected to be the largest during the forecast period
Rail is considered as one of the safest modes of land transport and more attractive to the customer as this offers a much better service to potential passengers and drives an increase in passenger numbers. The demand for safer and efficient transport is increasing from consumers across the world highlighting importance of adoption of advanced technology-based transport i.e., autonomous trains for commuting purpose. Currently, rail has been identified as one of the most energy-efficient transport modes, accounting for 8% of global motorized passenger movements and 7% of freight but consuming only 2% of transport energy.
The GOA 4 (unattended train operation) segment is expected to have the highest CAGR during the forecast period
The GOA 4 (unattended train operation) segment is expected to have the highest CAGR during the forecast period. The growth of the GOA 4 segment is driven by various ongoing/upcoming projects across the globe. In these projects, the government plays the major role of budget allocation for infrastructure development and deployment of driverless trains. Low electricity consumption, less wear & tear of components, and more passenger room would also drive the market for GOA 4 trains.
Region with largest share:
Asia Pacific is projected to hold the largest market share as the region has one of the largest rail networks across the world owing to the presence of major countries, such as India, China, and Japan. Public transportation is also very popular in these countries, such as in India, where people often travel by metro for daily commuting. Due to this, the railway network plays a very significant role in the economic development of countries in Asia Pacific. The market growth in the region can also be attributed to the increasing infrastructural development, increase in government spending on the transportation sector, and ongoing/upcoming projects in various countries. The increased levels of automation and demand for efficient and safe transportation are other factors expected to drive the market for autonomous trains.
Region with highest CAGR:
Europe is projected to have the highest CAGR due to the urban population growth, increased comfort and safety concerns, increased budget allocations for the development of railway systems and infrastructure, and continuous research and development in the automation technology.
Key players in the market
Some of the key players profiled in the Autonomous Train Market include Siemens, Hitachi, General Electric, Thales Group, ABB, Mitsubishi Heavy Industries, Kawasaki Heavy Industries, Deutsche Bahn, Bharat Forge, Alstom, Tech Mahindra Ltd, Calamp, CRRC, and CAF.
Key developments:
In September 2021: Mitsubishi Heavy Industries Engineering partnered with Dubai Metro and Dubai tram in a joint venture with Keolis. It successfully began operations of Dubai metro, a fully automated driverless rail system. The services are operated through Keolis-MHI Rail Management Operation LLC (Keolis-MHI).
In August 2021: Siemens Mobility was awarded a contract to design, install, and commission the first Communications-Based Train Control (CBTC) technology for Malaysia and Singapore cross-border link trains. The company also announced plans to deliver the CBTC system for the Brazilian metro line in May 2021.
In August 2021: Hitachi Rail STS (Ansaldo) entered an agreement with the Thales Group to acquire the Ground Transportation System business of the Thales Group company. As a result of this agreement, Hitachi Rail is expected to drive growth by expanding the scale of its rail signaling systems business and further advance its rail automation systems business globally.
In May 2021: Kawasaki Heavy Industries launched the new remote track monitoring services in North America equipped with information and communications technology. This system is expected to improve trackside efficiency and deal with any irregularities for the safety of trains and passengers.
In January 2021: Alstom completed the acquisition of Bombardier Transportation, thereby, creating a competitive manufacturer on a global scale in mobility and rail transport, moving toward greener transportation globally.
Components Covered:
• Antenna
• Accelerometer
• Optical Sensors & Camera
• Tachometer
• Radio Set
• LiDAR Module
• Doppler
• Odometer
Train Types Covered:
• Light Rail
• Metro/Monorail
• High-Speed Rail/Bullet Train
Grades of Automation (GOA) Covered:
• GOA 1 (Manual Train Operation)
• GOA 2 (Semi-Automatic Train Operation)
• GOA 3 (Driverless Train Operation)
• GOA 4 (Unattended Train Operation)
Technologies Covered:
• Automatic Train Control (ATC)
• Automatic Train Operation (ATO)
• Automatic Train Protection (ATP)
• Communication Based Train Control (CBTC)
• European Railway Traffic Management System (ERTMS)
• Positive Train Control (PTC)
Applications Covered:
• Freight Train (Mining)
• Passenger Train
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 2020, 2021, 2022, 2025, and 2028
- 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 Emerging Markets
3.9 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 Market, By Component
5.1 Introduction
5.2 Antenna
5.3 Accelerometer
5.4 Optical Sensors & Camera
5.5 Tachometer
5.6 Radio Set
5.7 LiDAR Module
5.8 Doppler
5.9 Odometer
6 Global Autonomous Train Market, By Train Type
6.1 Introduction
6.2 Light Rail
6.3 Metro/Monorail
6.4 High-Speed Rail/Bullet Train
7 Global Autonomous Train Market, By Grade of Automation (GOA)
7.1 Introduction
7.2 GOA 1 (Manual Train Operation)
7.3 GOA 2 (Semi-Automatic Train Operation)
7.4 GOA 3 (Driverless Train Operation)
7.5 GOA 4 (Unattended Train Operation)
8 Global Autonomous Train Market, By Technology
8.1 Introduction
8.2 Automatic Train Control (ATC)
8.3 Automatic Train Operation (ATO)
8.4 Automatic Train Protection (ATP)
8.5 Communication Based Train Control (CBTC)
8.6 European Railway Traffic Management System (ERTMS)
8.7 Positive Train Control (PTC)
9 Global Autonomous Train Market, By Application
9.1 Introduction
9.2 Freight Train (Mining)
9.3 Passenger Train
9.3.1 Long Distance Train
9.3.2 Suburban
9.3.3 Subway
9.3.4 Tram
10 Global Autonomous Train Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Siemens
12.2 Hitachi
12.3 General Electric
12.4 Thales Group
12.5 ABB
12.6 Mitsubishi Heavy Industries
12.7 Kawasaki Heavy Industries
12.8 Deutsche Bahn
12.9 Bharat Forge
12.10 Alstom
12.11 Tech Mahindra Ltd
12.12 Calamp
12.13 CRRC
12.14 CAF
List of Tables
1 Global Autonomous Train Market Outlook, By Region (2020-2028) ($MN)
2 Global Autonomous Train Market Outlook, By Component (2020-2028) ($MN)
3 Global Autonomous Train Market Outlook, By Antenna (2020-2028) ($MN)
4 Global Autonomous Train Market Outlook, By Accelerometer (2020-2028) ($MN)
5 Global Autonomous Train Market Outlook, By Optical Sensors & Camera (2020-2028) ($MN)
6 Global Autonomous Train Market Outlook, By Tachometer (2020-2028) ($MN)
7 Global Autonomous Train Market Outlook, By Radio Set (2020-2028) ($MN)
8 Global Autonomous Train Market Outlook, By LiDAR Module (2020-2028) ($MN)
9 Global Autonomous Train Market Outlook, By Doppler (2020-2028) ($MN)
10 Global Autonomous Train Market Outlook, By Odometer (2020-2028) ($MN)
11 Global Autonomous Train Market Outlook, By Train Type (2020-2028) ($MN)
12 Global Autonomous Train Market Outlook, By Light Rail (2020-2028) ($MN)
13 Global Autonomous Train Market Outlook, By Metro/Monorail (2020-2028) ($MN)
14 Global Autonomous Train Market Outlook, By High-Speed Rail/Bullet Train (2020-2028) ($MN)
15 Global Autonomous Train Market Outlook, By Grade of Automation (GOA) (2020-2028) ($MN)
16 Global Autonomous Train Market Outlook, By GOA 1 (Manual Train Operation) (2020-2028) ($MN)
17 Global Autonomous Train Market Outlook, By GOA 2 (Semi-Automatic Train Operation) (2020-2028) ($MN)
18 Global Autonomous Train Market Outlook, By GOA 3 (Driverless Train Operation) (2020-2028) ($MN)
19 Global Autonomous Train Market Outlook, By GOA 4 (Unattended Train Operation) (2020-2028) ($MN)
20 Global Autonomous Train Market Outlook, By Technology (2020-2028) ($MN)
21 Global Autonomous Train Market Outlook, By Automatic Train Control (ATC) (2020-2028) ($MN)
22 Global Autonomous Train Market Outlook, By Automatic Train Operation (ATO) (2020-2028) ($MN)
23 Global Autonomous Train Market Outlook, By Automatic Train Protection (ATP) (2020-2028) ($MN)
24 Global Autonomous Train Market Outlook, By Communication Based Train Control (CBTC) (2020-2028) ($MN)
25 Global Autonomous Train Market Outlook, By European Railway Traffic Management System (ERTMS) (2020-2028) ($MN)
26 Global Autonomous Train Market Outlook, By Positive Train Control (PTC) (2020-2028) ($MN)
27 Global Autonomous Train Market Outlook, By Application (2020-2028) ($MN)
28 Global Autonomous Train Market Outlook, By Freight Train (Mining) (2020-2028) ($MN)
29 Global Autonomous Train Market Outlook, By Passenger Train (2020-2028) ($MN)
30 Global Autonomous Train Market Outlook, By Long Distance Train (2020-2028) ($MN)
31 Global Autonomous Train Market Outlook, By Suburban (2020-2028) ($MN)
32 Global Autonomous Train Market Outlook, By Subway (2020-2028) ($MN)
33 Global Autonomous Train Market Outlook, By Tram (2020-2028) ($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
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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