According to the Vision Research Reports, the global autonomous trains market size is projected to surpass 29,000 Km by 2027 at a CAGR of around 13% from 2019 to 2027.
Railways are considered the most efficient and safe means of transportation compared to highways due to fewer number of accidents recorded. In recently emerging autonomous trains, operations are monitored and controlled automatically. Even critical decisions such as to run and stop the train is decided by the automated control system without any human intervention. Autonomous trains are also equipped with an automatic train protection (ATP) system that has the ability to automatically stop at signals and serves the purpose of speed control.
Autonomous technology and its application are penetrating different spheres of the transport industry. These trains are furnished with high-powered cameras, latest sensors, GPS data, and onboard computer systems. The data is collected from sensors and monitored at control rooms which enables the autonomous system to make an informed decision.
Autonomous trains are the further step to future transportation system. The global demand of autonomous train market is rising at a lightning pace as the total driverless underground or over ground trains are becoming realistic in several developed nations around the globe. During the forecast period, railway system will be the most productive and efficient mean of transportation as there is an increase in demand for autonomous trains globally. In autonomous trains, the decision to run or stop is being decided by the train itself without an assistance of a driver in real time. In present-day metro and rail network, the train systems are connected with Automatic Train Control (ATC) that full fill the purpose of speed control mechanism. Autonomous trains are also equipped with ATP (Automatic Train Protection) that is a type of train protection system that performs the purpose of speed restriction and as well as have the ability to automatic stop at signals. This novel generation of automated trains has enormous impact on the railway system and is likely to expand the demand of this technology. Thus acquisition of autonomous train operation is likely expected to boost the market growth during the forecast period 2018-2027.
According to the UN Department of Economics and Social Affairs, urban areas would account for more than 60% share of the total world population by the end of the forecast period. This drives the need for autonomous trains which can provide key solutions to keep rail passenger traffic and congestion under control. There is an increasing trend of urbanization in developing countries due to job requirements which is driving the hub and spoke scenario in major cities. People from small cities/towns are migrating to industrialized metropolitan cities to grab job opportunities which is anticipated to drive the transit demand and in turn boost the autonomous trains market. By 2025, 35% of the world’s population is expected to move to middle class, which in turn, is anticipated to improve the volume of travelers and the choice of mode of travel. Demographic and economic shift are projected to result in new global order for rail transport solutions such as autonomous trains.
Increasing demand for safe travel is anticipated to drive the autonomous trains market as they minimize or eliminate the accidents caused by human error. Autonomous trains use a range of sensors which constantly monitor the surroundings of the train. These trains have advanced features such as automatic track identification system, infra-red collision system, and automatic fire detection & breaking system. These advanced features provide autonomous train with the capacity to reduce collision, deaths, and injuries which is set to boost the demand of the autonomous trains.
Major applications of autonomous train market covered in report are passenger trains which also includes long distance trains, suburban, tram rails and mono rails, freight, and mining. The report has been segmented by automation type into four different categories such as GoA 1, GoA 2, GoA 3, and GoA 4. The type of train operation for Grade of Automation (GoA) or GoA 1 is Driver with ATP (Automatic Train Protection), for GoA 2 it is ATP and ATO with driver, for GoA 3 it is DTO (Driverless Train Operation), and for GoA 4 the type of train operation is UTO (Unattended Train Operation). These various grades of operation refer to different kinds of levels of automated operations of the train. The global autonomous train market has been further segmented geographically into North America, Europe, Asia-Pacific, Middle East and Africa and Latin America.
Autonomous train market has been on a growing stage throughout the forecast period. Autonomous trains will be one of the major trends to gain traction in this market in the upcoming years. In modern automation system of trains, train operations are controlled and monitored automatically with no driver on board. This autonomous technology and its application are penetrating in different spheres of the transport industry. Autonomous trains are equipped with sensors, high-powered cameras, GPS data, and onboard computer systems which are connected to the control rooms. The data collected from sensors enables the train to take decision by itself. The autonomous technology is expected to mount the speed of the trains that will raise the number of trains running per track. Thus autonomous trains are expected to be the future of rail transport system.
Some of the major players in the autonomous trains market are Bombardier Transportation, Siemens AG, Alstom S.A., Thales Group, Ansaldo STS, Incheon Transit Corporation, Beijing Traffic Control Technology, China CNR Corporation Ltd among others.
Segmentation
By Automation Type (Distance Km, Units; 2019-2027)
By Train Type (Distance Km, Units; 2019-2027)
Regional Analysis (Distance Km, Units; 2019-2027)
Table of Content
1. Autonomous Trains Market – Executive Summary
2. Market Introduction
2.1. Market Definition
2.2. Market Taxonomy
3. Global Autonomous Trains Market Analysis Scenario
3.1. Market Size and Forecast
3.1.1. Market Size and Y-o-Y Growth
3.2. Industry Value and Supply Chain Analysis
3.2.1. Value Chain
3.2.2. Gross Profitability Margins
3.2.3. List of Key Participants
3.2.3.1. Technology Providers
3.2.3.2. Manufacturers
3.2.3.3. Distributors/Retailers
3.2.3.4. End users
4. Market Dynamics
4.1. Macro-economic Factors
4.2. Drivers
4.2.1. Supply Side
4.2.2. Demand Side
4.3. Restraints
4.4. Opportunity
4.5. Forecast Factors – Relevance and Impact
5. Global Autonomous Trains Market Analysis, By Grade
5.1. Introduction
5.1.1. Basis Point Share (BPS) Analysis, By Grade
5.2. Market Size and Forecast By Grade
5.2.1. GoA 1
5.2.2. GoA 2
5.2.3. GoA 3
5.2.4. GoA 4
5.3. Market Attractiveness Analysis, By Grade
5.4. Prominent Trends
6. Global Autonomous Trains Market Analysis, By Train Type
6.1. Introduction
6.1.1. Basis Point Share (BPS) Analysis, By Train Type
6.2. Market Size and Forecast By Train Type
6.2.1. Passenger Train
6.2.1.1. Long Distance Train
6.2.1.2. Suburban
6.2.1.3. Tram
6.2.1.4. Monorail
6.2.1.5. Subway/Metro
6.2.2. Freight Train
6.3. Market Attractiveness Analysis, By Train Type
7. Global Autonomous Trains Market Analysis and Forecast, By Region
7.1. Introduction
7.1.1. Basis Point Share (BPS) Analysis By Region
7.1.2. Y-o-Y Growth Projections By Region
7.2. Market Size and Forecast By Region
7.2.1. North America
7.2.2. Latin America
7.2.3. Europe
7.2.4. APAC
7.2.5. MEA
7.3. Market Attractiveness Analysis By Region
7.4. Freight Rail Transport
8. North America Autonomous Trains Market Analysis and Forecast
8.1. Introduction
8.1.1. Market Size (Km) Forecast, 2018-2027
8.1.2. Y-o-Y Growth Projections By Country
8.1.3. Market Value Share Analysis, By Country (Basis point scale)
8.2. Market Size and Forecast By Country
8.2.1. U.S.
8.2.2. Canada
8.3. Market Size and Forecast By Grade
8.3.1. GoA 1
8.3.2. GoA 2
8.3.3. GoA 3
8.3.4. GoA 4
8.4. Market Size and Forecast By Train Type
8.4.1. Passenger Train
8.4.1.1. Long Distance Train
8.4.1.2. Suburban
8.4.1.3. Tram
8.4.1.4. Monorail
8.4.1.5. Subway/Metro
8.4.2. Freight Train
8.5. Market Attractiveness Analysis
8.5.1. By Country
8.5.2. By Grade
8.5.3. By Train Type
8.6. Prominent Trends
8.7. Drivers and Restraints: Impact Analysis
9. Latin America Autonomous Trains Market Analysis and Forecast
9.1. Introduction
9.1.1. Y-o-Y Growth Projections By Country
9.1.2. Basis Point Share (BPS) Analysis By Country
9.2. Market Size and Forecast By Country
9.2.1. Brazil
9.2.2. Mexico
9.2.3. Rest of Latin America
9.3. Market Size and Forecast By Grade
9.3.1. GoA 1
9.3.2. GoA 2
9.3.3. GoA 3
9.3.4. GoA 4
9.4. Market Size and Forecast By Train Type
9.4.1. Passenger Train
9.4.1.1. Long Distance Train
9.4.1.2. Suburban
9.4.1.3. Tram
9.4.1.4. Monorail
9.4.1.5. Subway/Metro
9.4.2. Freight Train
9.5. Market Attractiveness Analysis
9.5.1. By Country
9.5.2. By Grade
9.5.3. By Train Type
9.6. Drivers and Restraints: Impact Analysis
10. Europe Autonomous Trains Market Analysis and Forecast
10.1. Introduction
10.1.1. Y-o-Y Growth Projections By Country
10.1.2. Basis Point Share (BPS) Analysis By Country
10.2. Market Size and Forecast By Country
10.2.1. EU-5
10.2.2. Russia
10.2.3. Rest of Europe
10.3. Market Size and Forecast By Grade
10.3.1. GoA 1
10.3.2. GoA 2
10.3.3. GoA 3
10.3.4. GoA 4
10.4. Market Size and Forecast By Train Type
10.4.1. Passenger Train
10.4.1.1. Long Distance Train
10.4.1.2. Suburban
10.4.1.3. Tram
10.4.1.4. Monorail
10.4.1.5. Subway/Metro
10.4.2. Freight Train
10.5. Market Attractiveness Analysis
10.5.1. By Country
10.5.2. By Grade
10.5.3. By Train Type
10.6. Prominent Trends
10.7. Drivers and Restraints: Impact Analysis
11. APAC Autonomous Trains Market Analysis and Forecast
11.1. Introduction
11.1.1. Y-o-Y Growth Projections By Country
11.1.2. Basis Point Share (BPS) Analysis By Country
11.2. Market Size and Forecast By Country
11.2.1. China
11.2.2. Japan
11.2.3. India
11.2.4. ASEAN
11.2.5. Rest of APAC
11.3. Market Size and Forecast By Grade
11.3.1. GoA 1
11.3.2. GoA 2
11.3.3. GoA 3
11.3.4. GoA 4
11.4. Market Size and Forecast By Train Type
11.4.1. Passenger Train
11.4.1.1. Long Distance Train
11.4.1.2. Suburban
11.4.1.3. Tram
11.4.1.4. Monorail
11.4.1.5. Subway/Metro
11.4.2. Freight Train
11.5. Market Attractiveness Analysis
11.5.1. By Country
11.5.2. By Grade
11.5.3. By Train Type
11.6. Prominent Trends
11.7. Drivers and Restraints: Impact Analysis
12. MEA Autonomous Trains Market Analysis and Forecast
12.1. Introduction
12.1.1. Y-o-Y Growth Projections By Country
12.1.2. Basis Point Share (BPS) Analysis By Country
12.2. Market Size and Forecast By Country
12.2.1. GCC Countries
12.2.2. South Africa
12.2.3. Rest of MEA
12.3. Market Size and Forecast By Grade
12.3.1. GoA 1
12.3.2. GoA 2
12.3.3. GoA 3
12.3.4. GoA 4
12.4. Market Size and Forecast By Train Type
12.4.1. Passenger Train
12.4.1.1. Long Distance Train
12.4.1.2. Suburban
12.4.1.3. Tram
12.4.1.4. Monorail
12.4.1.5. Subway/Metro
12.4.2. Freight Train
12.5. Market Attractiveness Analysis
12.5.1. By Country
12.5.2. By Grade
12.5.3. By Train Type
12.6. Prominent Trends
12.7. Drivers and Restraints: Impact Analysis
13. Competition Landscape
13.1. Competition Dashboard
13.2. Market Structure
13.3. Market Share Analysis
13.4. Company Profiles (Details–Overview, Financials, Products, Strategy, Recent Developments)
13.4.1. Thales Group
13.4.1.1. Overview
13.4.1.2. Financials
13.4.1.3. Products
13.4.1.4. Strategy
13.4.1.5. Recent Developments
13.4.2. Hitachi Ltd
13.4.2.1. Overview
13.4.2.2. Financials
13.4.2.3. Products
13.4.2.4. Strategy
13.4.2.5. Recent Developments
13.4.3. Alstom S.A.
13.4.3.1. Overview
13.4.3.2. Financials
13.4.3.3. Products
13.4.3.4. Strategy
13.4.3.5. Recent Developments
13.4.4. Ansaldo STS
13.4.4.1. Overview
13.4.4.2. Financials
13.4.4.3. Products
13.4.4.4. Strategy
13.4.4.5. Recent Developments
13.4.5. Bombardier Transportation
13.4.5.1. Overview
13.4.5.2. Financials
13.4.5.3. Products
13.4.5.4. Strategy
13.4.5.5. Recent Developments
13.4.6. Siemens AG
13.4.6.1. Overview
13.4.6.2. Financials
13.4.6.3. Products
13.4.6.4. Strategy
13.4.6.5. Recent Developments
13.4.7. Mitsubishi Motors
13.4.7.1. Overview
13.4.7.2. Financials
13.4.7.3. Products
13.4.7.4. Strategy
13.4.7.5. Recent Developments
13.4.8. China CNR Corporation Limited
13.4.8.1. Overview
13.4.8.2. Financials
13.4.8.3. Products
13.4.8.4. Strategy
13.4.8.5. Recent Developments
14. Assumptions & Acronyms Used
15. Research Methodology