The autonomous trains global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Autonomous Trains Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The autonomous trains market size has grown strongly in recent years. It will grow from $9.79 billion in 2023 to $10.54 billion in 2024 at a compound annual growth rate (CAGR) of 7.7%. The growth in the historic period can be attributed to rail safety and efficiency, increasing budget allocation for railway expansion, decreased pollution and accidents, higher passenger capacity, improvements in railway infrastructure.
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.
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Scope Of Autonomous Trains Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Autonomous Trains Market Overview
Market Drivers –
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.
Market Trends –
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 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
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Regional Insights –
Western Europe was the largest region in the autonomous trains market in 2023. Asia-Pacific was the second largest region in the autonomous trains market. The regions covered in the autonomous trains market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Key Companies –
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
Table of Contents
1. Executive Summary
2. Autonomous Trains Market Report Structure
3. Autonomous Trains Market Trends And Strategies
4. Autonomous Trains Market – Macro Economic Scenario
5. Autonomous Trains Market Size And Growth
…..
27. Autonomous Trains Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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