The Business Research Company published its Autonomous Trains Global Market Report 2020 which provides strategists, marketers and senior management with the critical information they need to assess the global Autonomous Trains market. The report provides in-depth analysis of the impact of COVID-19 on the market, along with revised market numbers due to the effects of the coronavirus.

The report covers the Autonomous Trains market’s segments-

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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Autonomous Trains Global Market Report 2020 is the most comprehensive report available on this market and will help gain a truly global perspective as it covers 60 geographies. The chapter on the impact of COVID-19 gives valuable insights on supply chain disruptions, logistical challenges, and other economic implications of the virus on the market. The chapter also covers markets which have been positively affected by the pandemic.

The global autonomous trains market is expected to decline from $8.33 billion in 2019 to $7.32 billion in 2020 at a compound annual growth rate (CAGR) of -12.16%. The decline is mainly due to the COVID-19 outbreak that has led to restrictive containment measures involving social distancing and remote working, and the closure of industries and other commercial activities. The market is then expected to recover and reach $9.69 billion in 2023 at CAGR of 9.8%.

LiDAR and Artificial Intelligence (AI) are increasingly being used in autonomous trains to improve the performance of the trains. A LiDAR (Light Detection and Ranging) system measures the speed of moving trains and captures irregularities of the track and evaluates 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. AI is expected to improve the performance of automated metro lines by enabling predictive maintenance which help to reduce the incidents and assist operators to recover from incidents more quickly. Control Centre with visual and voice interactions during an incident is a time-consuming process. AI also helps to reduce these interactions and allow traffic controllers to focus on the core problem.

Few Points From Table Of Content:

  1. Executive Summary
  2. Autonomous Trains Market Characteristics
  3. Autonomous Trains Market Size And Growth
  4. Autonomous Trains Market Segmentation
  5. Autonomous Trains Market Regional And Country Analysis


  1. Autonomous Trains Market Competitive Landscape And Company Profiles
  2. Key Mergers And Acquisitions In The Autonomous Trains Market
  3. Autonomous Trains Market Trends And Strategies
  4. Autonomous Trains Market Future Outlook and Potential Analysis
  5. Appendix

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Few Points From List Of Tables

Table 1: Global Historic Market Growth, 2015-2019, $ Billion
Table 2: Global Forecast Market Growth, 2015-2019, 2023F, 2025F, 2030F, $ Billion
Table 3: Global Autonomous Trains Market, Segmentation By Train Type, Historic and Forecast, 2015-2019, 2023F, 2025F, 2030F, $ Billion
Table 4: Global Autonomous Trains Market, Segmentation By Technology, Historic and Forecast, 2015-2019, 2023F, 2025F, 2030F, $ Billion
Table 5: Global Autonomous Trains Market, Segmentation  By Grade of Automation , Historic and Forecast, 2015-2019, 2023F, 2025F, 2030F, $ Billion
Table 47: Alstom S.A. Financial Performance
Table 48: ABB Financial Performance
Table 49: Bombardier Transportation Financial Performance
Table 50: CRRC Transportation Financial Performance
Table 51: Hitachi Ltd Financial Performance

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