Press release
Autonomous Trains Market Size, Regional Overview, Competitive Landscape, Business Growth, Share Analysis And Forecast To 2033
Autonomous Trains Market
The autonomous trains market size is expected to see strong growth in the next few years. It will grow to $14.62 billion in 2028 at a compound annual growth rate (CAGR) of 8.5%. The growth in the forecast period can be attributed to improved automation technology, global infrastructure projects, urbanization and population growth, awareness about rising tailpipe emission levels, scarcity of trained drivers. Major trends in the forecast period include connectivity and communication, energy efficiency, interoperability, predictive maintenance, autonomous metro systems.
Market Overview -
Autonomous train are trains that have an automatic train protection (ATP) system enabled, which helps the train automatically stop at signals with speed control.
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The Role Of Autonomous Trains In Meeting The Demand For Safe, Efficient, And Cost-Effective Transportation
The increased need for a safe, efficient, cheap, fast, and reliable mode of transportation is contributing to the growth of the global autonomous train market. Rail is the safest mode of land transport and the most attractive to the customer. It is also one of the fastest modes of transport, which moves on high-speed lines that are expected to average up to 300 km/hour. The distance of 1000 km can easily be reached within 5 to 7 hours. It offers much greater flexibility of time, allowing train frequencies to be better matched to demand at peak and off-peak times. This offers a much better service to potential passengers and drives an increase in passenger numbers. When it comes to fares, intra-modal competition among railway operators and competition among railway suppliers will keep fares affordable even in countries with low per capita income. Increased safety and cheaper fares compared to other transport options drove the autonomous train market.
Competitive Landscape -
Major companies operating in the autonomous trains market include Alstom SA, ABB Ltd., Bombardier Transportation, CRRC Corporation Limited, Hitachi Ltd., Kawasaki Heavy Industries Ltd., Mitsubishi Heavy Industries Ltd., Siemens AG, Thales Group, Ansaldo STS S.p.A., Beijing Traffic Control Technology Co. Ltd., General Electric Company, China CNR Corporation Limited, Incheon Transit Corporation, Intesens, Transmashholding, CalAmp Corp., Hollysys Automation Technologies Ltd., Deuta-Werke GmbH, Wabtec Corporation, Ingeteam S.A., Tech Mahindra Limited, American Equipment Company Inc., Belden Inc., Bharat Forge Limited, CAF Construcciones y Auxiliar de Ferrocarriles S.A., Deutsche Bahn AG, Cubic Transportation Systems Inc., Mitsubishi Electric Corporation, Knorr-Bremse AG
Enhancing Autonomous Trains With Lidar And Artificial Intelligence
LiDAR and artificial intelligence are increasingly being used in autonomous trains to improve the performance of the trains. The LIDAR (Light Detection and Ranging) system measures the speed of moving trains and captures irregularities in the track, evaluating the rail track quality. It uses two pairs of lenses to capture speed signals from both rails individually. The track speed, curvature, and lateral and vertical geometry variations on each side are determined. Artificial Intelligence (AI) is expected to improve the performance of automated metro lines by enabling predictive maintenance, which helps to reduce incidents and assist operators to recover from incidents more quickly. Controlling the control centre with visual and voice interactions during an incident is a time-consuming process. AI also helps to reduce these interactions and allows traffic controllers to focus on the core problem.
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Key Segments -
The autonomous trains market covered in this report is segmented -
1) By Train Type: Suburban Trains, Tram, Monorail, Subway/Metro, Long Distance Trains
2) By Technology: Automatic Train Control (ATC), Communication-Based Train Control (CBTC), European Railway Traffic Management System (ERTMS), Positive Train Control (PTC)
3) By Grade of Automation: GOA1, GOA2, GOA3, GOA4
4) By Application: Passenger Train, Freight, Mining
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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