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.

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The Autonomous trains market has been segmented by its type of automation, GoA1 which refers to train operations that are controlled by a train driver, GoA2 where stopping of train is automated, but a driver in the cab starts the train, Grade 3 of Automation refers to driverless train operation (DTO) where starting and stopping are automated but there is a train attendant to operate the doors and drives the train in case of emergencies and finally GoA 4 refers to to unattended train operation (UTO) where both starting and stopping of train, operation of doors, and handling of emergencies are fully automated without any on-train driver or staff.

The Global Autonomous Trains Market is anticipated to expand at a CAGR of 13% from 2018 to 2027, and reach autonomous train line length of around 29,000 Km by 2027 from its base value of 8000 Km in 2018. Long distance autonomous passenger trains is forecasted to grow at a CAGR of 12%. This is mainly due to extra cost incurred in application of autonomous features in long distance trains and safety factors

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Majority of the transport for logistics was chiefly driven by railways, which is cheaper. The advent of autonomous/ driverless trucks is poised to take over significant market share of the logistics from the railway industry. Efforts to transform the classic rail logistic services to automated rail logistic services are done so as to retain the market share and proliferation of rail logistics in the coming years.

Asia Pacific has the largest share in terms of production and is projected to be the fastest growing market during forecast period. Europe is the second largest share of the global autonomous train market in 2018. North America is also held the third largest share of global autonomous trains market in 2018. North America has developed fully automated and semi-autonomous (GoA 3) metro lines which are already in commercial use so have major market share. Growth of the region is primarily ascribed to the increasing industrialization and urbanization in the developing countries in the region. The global market share of North America, Europe and Asia Pacific is expected to increase at a high CAGR during the forecast period, while the global market share of Latin America and Middle East and Africa is expected to increase, but at a slow pace till 2027.

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The global autonomous train’s market Key industry include

  • Thales Group
  • Hitachi Ltd
  • Siemens AG
  • Mitsubishi Electric.

Other players include

  • Ansaldo
  • Alstom
  • Bombardier Transportation
  • China CNR Corporation Ltd, etc.

Major applications of autonomous train market covered in report are passenger trains, 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.

Demand for autonomous trains is projected to increase significantly in the next few years considering the 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. The difficulty for such people to afford living in these expensive metropolitan cities lead them to travel from their home town to their work place. This is increasing rail traffic, since the railway serves as the cheapest mode of transportation. As the number and size of cities is growing, the pressure on rail transportation system providers to move people and materials between and within growing cities offers enormous opportunities to the autonomous trains market. Asia Pacific dominates the autonomous trains market in terms of production and demand. Countries such as China, Japan, and South Korea are expected to be the key producers and consumers of autonomous trains. Europe is the second largest consuming region.

This report analyzes and forecasts the market for autonomous trains at the global and regional level by segmenting the market based on automation type, Train type and regional type. The market has been forecast based on Projection Distance (KILOMETERS) and Trains (No.of Units) from 2019 to 2027, considering 2018 as the base year. The study includes drivers and restraints of the global autonomous trains market. It also covers impact of these drivers and restraints on demand for autonomous trains during the forecast period. The report also highlights opportunities in the autonomous trains market at the global and regional level.

The report includes detailed value chain analysis, which provides a comprehensive view of the global autonomous trains market. Porter’s Five Forces model for the autonomous trains market has also been included to help understand the competitive landscape in the market. The study encompasses market attractiveness analysis, wherein end-users are benchmarked based on their market size, growth rate, and general attractiveness.

The study provides a decisive view of the global autonomous trains market by segmenting it in terms of automation type such as sGoA1, GoA2, GoA3, and GoA4; Train type such as Passenger train and freight trains. These segments have been analyzed based on present and future trends. Regional segmentation includes current and forecast demand for autonomous trains in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

The report provides the actual market size of autonomous trains for 2018 and estimated market size for 2019 with forecast for the next eight years. The global market size of autonomous trains has been provided in terms of projection distance and train units. Projection distance has been defined in kilometers, while train units are in numbers. Market numbers have been estimated based on key applications of autonomous trains. Market size and forecast for numerous end-users have been provided in terms of global, regional, and country level markets.

In order to compile the research report, we conducted in-depth interviews and discussions with a number of key industry participants and opinion leaders. Primary research represented the bulk of research efforts, supplemented by extensive secondary research. We reviewed key players’ product literature, annual reports, press releases, and relevant documents for competitive analysis and market understanding. Secondary research includes a search of recent trade, technical writing, Internet sources, and statistical data from government websites, trade associations, and agencies. This has proven to be the most reliable, effective, and successful approach for obtaining precise market data, capturing industry participants’ insights, and recognizing business opportunities.

Secondary research sources that are typically referred to include, but are not limited to company websites, annual reports, financial reports, broker reports, investor presentations, SEC filings, CSA Global, FAO, internal and external proprietary databases, and relevant patent and regulatory databases such as ICIS, Hoover’s, one SOURCE, Factiva and Bloomberg, national government documents, statistical databases, trade journals, market reports, news articles, press releases, and webcasts specific to companies operating in the market.

We conduct primary interviews on an ongoing basis with industry participants and commentators to validate data and analysis. These help validate and strengthen secondary research findings. These also help develop the analysis team’s expertise and market understanding.

The report comprises profiles of major companies operating in the global autonomous trains market. 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.

The global autonomous trains market has been segmented as follows:

Autonomous Trains Market: By Automation Type (Distance Km, Units; 2018-2027)

  • GoA 1
  • GoA 2
  • GoA 3
  • GoA 4

Autonomous Trains Market: By Train Type (Distance Km, Units; 2018-2027)

  • Passenger Train
    • Long Distance Train
    • Suburban Train
    • Mono Rail/ Subway/ Metro
    • Tram
  • Freight Rails
  • Mining Rails

Autonomous Trains Market: Regional Analysis (Distance Km, Units; 2018-2027)

  • North America
    • U.S.
    • Canada
    • Rest of North America
  • Europe
    • U.K.
    • Italy
    • Russia
    • France
    • Germany
    • Spain
    • Rest Of Europe
  • Asia Pacific
    • China
    • India
    • Korea
    • Japan
    • Rest Of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of South America
  • Middle East & Africa (MEA)
    • GCC
    • South Africa
    • Rest of MEA

The Autonomous Trains market has been segmented as follows:

Grade

  • GoA1 + GoA2
  • GoA3
  • GoA4

Train Type

  • Long Distance Train
  • Suburban
  • Tram
  • Monorail
  • Subway/Metro

Region/Country/Sub-region

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

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