Autonomous Trains Components Market - Snapshot
Autonomous trains is an advanced railway transport system coupled with sophisticated technologies in order to augment their safe operation. Autonomous trains are completely automatic and possess their own intelligence communication system (CBTC -Communication based train control) that decides their movement such as how much distance has been traveled, where to stop, when to stop, and other obstacles. Technologically advanced systems are adopted in these trains, which include Automatic Train Operation (ATO), Automatic Train Protection (ATP), Driverless Train Automation (DTO), Automatic Train Control (ATC), Semi-Automatic Train Operation (STO), and Unattended Train Operation (UTO) in order to operate these trains without the aid of a driver, thereby increasing safety of the passengers. These trains are furnished with high-powered vision cameras, latest sensors, antennae, LiDAR, GPS data, and onboard computer systems. Operation of the autonomous train is achieved through different components that can be automated and based on the mechanization of components, the Grades of Automation (GoA) are decided. The autonomous train also contains the passenger safety technology, which are a part of the autonomous train protection system.
Railways are considered the most adept and safe means of transport, as compared to roadways, owing to the limited number of accidents chronicled. Autonomous trains are fully automated and operate using advanced electronic appliances and machinery, unlike conventional trains, which have to follow their own old signaling systems and the drivers are completely responsible for the safe movement of the trains. Autonomous trains offer greater reliability, efficiency, performance, and safety, as compared to conventional trains. This is expected to be a key factor driving the autonomous train components market during the forecast period. Increasing government support across the world for incorporation of automation in trains, as they are economical and a safe means of transport, is expected to boost the autonomous trains components market during the forecast period. Implementation of automation technologies in trains is likely to prove more beneficial in reducing the number of accidents and pollution, reducing the load on fossil fuels, and increasing efficiency. However, the cost of train automation is very high, which is anticipated to hamper the autonomous trains components market, coupled with the high possibility of hacking the system.
Continuous research and development in the field of automation technology, increased concentration of manufacturers on developing components and trains deployed with certain grade of automation are expected to propel the autonomous trains components market during the forecast period.
The LiDAR module component segment accounts for a major share of the market owing to its ability to detect objects in low visibility conditions; and hence, is expected to offer lucrative opportunities, thereby boosting the global autonomous trains components market during the forecast period. The LiDAR module produces a 2D or 3D geographic point cloud data by a rotating laser beam and works even better at night. Advanced research in the field of LiDAR is reducing the cost of the module, thereby making it economical. Hence, the segment is expected to witness significant expansion by 2025.
In terms of grades, the autonomous trains components market can be segregated into GoA1 + GoA2, GoA3, and GoA4. GoA1 trains consist of ATP with driver, and all other components are operated manually. GoA2 trains have ATP and ATO with driver, automatic accelerating and stopping of train, and other functions are controlled manually. In the GoA3 trains, the train is operated automatically without the aid of a driver. In these trains, setting the train in motion and stopping the train are performed automatically, doors are operated by the train attendant. In GoA3 trains, stopping the train in case of disruption is done by the train attendant. GoA4 trains are fully automated and are unattended.
In terms of train type, the autonomous trains components market can be segmented into long distance train, monorails, subways/metro, and others. Subways/metros have a higher rate of automation and the segment accounts for a major share of the market, as compared to the other segments. Monorails were developed in Germany in the 1990s, and the penetration of monorail is increasing in other regions.
In terms of region, the autonomous trains components market has been classified into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. Currently, Asia Pacific dominates the global autonomous trains components market. Increased rate of train track laying, awareness about the technologies, and government support for the implementation of the autonomous technologies in trains are key factors driving the autonomous trains components market in Asia Pacific.
Benefits of train transportation, increased emphasis of governing bodies for automation of railways, and future scope for automation are prompting global key players to develop technologically advanced trains. Consequently, key players are focusing on mergers, acquisitions, and collaboration amongst them and governing bodies of different countries. Prominent players operating in the autonomous trains components market include Thales Group, Alstom S.A., Hitachi Ltd., Bombardier Transportation, Ansaldo STS, SIEMENS AG, Mitsubishi Electric, and CRRC Corporation Limited.
Autonomous Trains Components Market - Snapshot
The pace of innovation is accelerating. Autonomous trains and improved Artificial Intelligence capacities are coming quicker than we might suspect. Self-rule improved travel will be here before completely autonomous cars are out and about and we need to ask ourselves how we will manage them. The new innovations will change the connections between metro administrators, urban areas and residents. Autonomous trains are a high level rail line transport framework combined with refined advancements to increase their protected activity. Autonomous trains are totally programmed and have their own insight correspondence framework (CBTC - Communication based train control) that chooses their development, for example, how much distance has been voyaged, where to stop, when to stop, and different impediments. The improvement of autonomous transportation frameworks has become a significant strategical seriousness factor for industrialists and armada administrators. In this paper, we study the improvement of autonomous trains.
Railroads are viewed as the most adroit and safe methods for transport, when contrasted with streets, attributable to the predetermined number of mishaps chronicled. Autonomous trains are completely computerized and work utilizing progressed electronic apparatuses and hardware, in contrast to ordinary trains, which need to follow their own old flagging frameworks and the drivers are totally answerable for the protected development of the trains. Autonomous trains offer more prominent unwavering quality, productivity, execution, and security, when contrasted with ordinary trains. This is relied upon to be a key factor driving the autonomous train components market during the estimate time frame. Expanding government support across the world for joining of automation in trains, as they are efficient and a protected methods for transport, is required to help the autonomous trains components market during the figure time frame. Execution of automation advancements in trains is probably going to demonstrate more beneficial in decreasing the quantity of mishaps and contamination, diminishing the heap on petroleum derivatives, and expanding productivity.
Autonomous Trains Components Market- Overview
This report analyzes and forecasts the market for autonomous trains’ components at the global and regional level. The market has been forecast based on figure (Km), revenue for components (US$ Mn) and volume (Units) from 2017 to 2025. The study includes drivers and restraints of the global autonomous trains’ components market. It also covers the impact of these drivers and restraints on demand for autonomous trains during the forecast period. The report also highlights opportunities in the autonomous trains’ components market at the global and regional level.
The report comprises a detailed value chain analysis, which provides a comprehensive view of the global autonomous train’s components 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 train’s components market by segmenting it in terms of grade, train type, and region. These segments have been analyzed based on present and future trends. Regional segmentation includes the current and forecast demand for autonomous trains in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The report also covers the demand for individual application segments in all regions.
The study includes profiles of major companies operating in the global autonomous trains’ components market. Key players operating in the autonomous trains components market include Thales Group, Alstom S.A., Hitachi Ltd., Bombardier Transportation, Ansaldo STS, Siemens AG, Mitsubishi Electric, and CRRC Corporation Limited. Market players have been profiled in terms of attributes such as company overview, financial overview, business strategies, and recent developments. The market for autonomous train’s components is primarily driven by rising demand for safety in trains. Industrialization has led to urbanization, which has resulted in migration to cities resulted in increased demand for automation in trains.
The report provides the estimated market size of autonomous trains for 2015 & 2016 and forecast for the next nine years. The global market size of autonomous trains has been provided in terms of kilometers of track and unit. Market numbers have been estimated based on components, grade, train type, and regional segments of autonomous trains market. Market size and forecast for each grade and train type have been provided in terms of global and regional/country 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 represents 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 also 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, and SEC filings, internal and external proprietary databases, and relevant patent and regulatory databases, national government documents, statistical databases, and market reports, news articles, press releases, and webcasts specific to companies operating in the market, National government documents, statistical databases, and market reports, Union Internationale des Transports Publics (UITP), International Railway Research Board (IRRB), International Union of Railways (UIC), etc.
Primary research involves e-mail interactions, telephonic interviews, and face-to-face interviews for each market, category, segment, and sub-segment across geographies. We conduct primary interviews on an ongoing basis with industry participants and commentators in order to validate the data and analysis. Primary interviews provide firsthand information on market size, market trends, growth trends, competitive landscape, and outlook, etc. These help validate and strengthen secondary research findings. These also help develop the analysis team’s expertise and market understanding.
The Autonomous trains components Market has been segmented as follows:
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