The Autonomous Trains Global Market Report 2023 by The Business Research Company, provides autonomous trains market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten-year historic period – 2010-2021, and a ten-year forecast period – 2023-2032.
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According to The Business Research Company’s Autonomous Trains Global Market Report 2023, the market size is expected to grow from $9.08 billion in 2022 to $9.79 billion in 2023 at a compound annual growth rate (CAGR) of 7.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the autonomous trains is expected to grow to $13.00 billion in 2027 at a CAGR of 7.4%.
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.
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The autonomous trains market 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
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.
The autonomous trains market report table of contents includes:
1. Executive Summary
2. Autonomous Trains Market Characteristics
3. Autonomous Trains Market Trends And Strategies
4. Autonomous Trains Market – Macro Economic Scenario
5. Autonomous Trains Market Size And Growth
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26. Africa Autonomous Trains Market
27. Autonomous Trains Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The Autonomous Trains Market
29. Autonomous Trains Market Future Outlook and Potential Analysis
30. Appendix
Top Major Players:
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