Autonomous Train Technology Market Research Report by Train Type, Area, Component, Technology, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19

The Global Autonomous Train Technology Market size was estimated at USD 8,835.54 million in 2021 and expected to reach USD 10,044.30 million in 2022, and is projected to grow at a CAGR 13.85% to reach USD 19,248.95 million by 2027.

Market Statistics:
The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.

Market Segmentation & Coverage:
This research report categorizes the Autonomous Train Technology to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Train Type, the market was studied across GoA1 + GoA2, GoA3, and GoA4.

Based on Area, the market was studied across Long Distance, Monorail, Suburban, Subway or Metro, and Tram.

Based on Component, the market was studied across Antenna, Infrared Camera, LiDAR Module, Odometer, Optical Sensor Camera, and RADAR Module.

Based on Technology, the market was studied across Automatic Train Control, Communications-based Train Control, European Rail Traffic Management System, and Positive Train Control.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Autonomous Train Technology market considering the current update on the conflict and its global response.

Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Autonomous Train Technology Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Autonomous Train Technology Market, including Alstom S.A., Ansaldo STS, Aurecon Group Brand Pty. Ltd., AVVERO Solutions, cargo-partner GmbH, ENSCO, Inc., FreightWaves, Inc, General Electric Company, Hitachi Ltd, Kawasaki Heavy Industries, Ltd, LILEE Systems Inc, Mitsubishi Heavy Industries, Oliver Wyman Inc, Ricardo PLC, Rio Tinto PLC, and Thales Group.

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Global Autonomous Train Technology Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Autonomous Train Technology Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Autonomous Train Technology Market?
4. What is the competitive strategic window for opportunities in the Global Autonomous Train Technology Market?
5. What are the technology trends and regulatory frameworks in the Global Autonomous Train Technology Market?
6. What is the market share of the leading vendors in the Global Autonomous Train Technology Market?
7. What modes and strategic moves are considered suitable for entering the Global Autonomous Train Technology Market?

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increased demand for safety and service benefits for passengers
5.1.1.2. Rise in railway developments
5.1.1.3. Increasing investment in metro and monorail infrastructure
5.1.2. Restraints
5.1.2.1. Long-distance between the stops and lack of supportive infrastructure
5.1.3. Opportunities
5.1.3.1. Increasing operation efficiency and low-energy consumption
5.1.3.2. Advancements in autonomous freight trains
5.1.4. Challenges
5.1.4.1. Inability of DTO Systems to function for protection in emergency
5.2. Cumulative Impact of COVID-19

6. Autonomous Train Technology Market, by Train Type
6.1. Introduction
6.2. GoA1 + GoA2
6.3. GoA3
6.4. GoA4

7. Autonomous Train Technology Market, by Area
7.1. Introduction
7.2. Long Distance
7.3. Monorail
7.4. Suburban
7.5. Subway or Metro
7.6. Tram

8. Autonomous Train Technology Market, by Component
8.1. Introduction
8.2. Antenna
8.3. Infrared Camera
8.4. LiDAR Module
8.5. Odometer
8.6. Optical Sensor Camera
8.7. RADAR Module

9. Autonomous Train Technology Market, by Technology
9.1. Introduction
9.2. Automatic Train Control
9.3. Communications-based Train Control
9.4. European Rail Traffic Management System
9.5. Positive Train Control

10. Americas Autonomous Train Technology Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Autonomous Train Technology Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Autonomous Train Technology Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.1.1. Quadrants
13.1.2. Business Strategy
13.1.3. Product Satisfaction
13.2. Market Ranking Analysis, By Key Player
13.3. Market Share Analysis, By Key Player
13.4. Competitive Scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, Collaboration, & Partnership
13.4.3. New Product Launch & Enhancement
13.4.4. Investment & Funding
13.4.5. Award, Recognition, & Expansion

14. Company Usability Profiles
14.1. Alstom S.A.
14.1.1. Business Overview
14.1.2. Key Executives
14.1.3. Product & Services
14.2. Ansaldo STS
14.2.1. Business Overview
14.2.2. Key Executives
14.2.3. Product & Services
14.3. Aurecon Group Brand Pty. Ltd.
14.3.1. Business Overview
14.3.2. Key Executives
14.3.3. Product & Services
14.4. AVVERO Solutions
14.4.1. Business Overview
14.4.2. Key Executives
14.4.3. Product & Services
14.5. cargo-partner GmbH
14.5.1. Business Overview
14.5.2. Key Executives
14.5.3. Product & Services
14.6. ENSCO, Inc.
14.6.1. Business Overview
14.6.2. Key Executives
14.6.3. Product & Services
14.7. FreightWaves, Inc
14.7.1. Business Overview
14.7.2. Key Executives
14.7.3. Product & Services
14.8. General Electric Company
14.8.1. Business Overview
14.8.2. Key Executives
14.8.3. Product & Services
14.9. Hitachi Ltd
14.9.1. Business Overview
14.9.2. Key Executives
14.9.3. Product & Services
14.10. Kawasaki Heavy Industries, Ltd
14.10.1. Business Overview
14.10.2. Key Executives
14.10.3. Product & Services
14.11. LILEE Systems Inc
14.11.1. Business Overview
14.11.2. Key Executives
14.11.3. Product & Services
14.12. Mitsubishi Heavy Industries
14.12.1. Business Overview
14.12.2. Key Executives
14.12.3. Product & Services
14.13. Oliver Wyman Inc
14.13.1. Business Overview
14.13.2. Key Executives
14.13.3. Product & Services
14.14. Ricardo PLC
14.14.1. Business Overview
14.14.2. Key Executives
14.14.3. Product & Services
14.15. Rio Tinto PLC
14.15.1. Business Overview
14.15.2. Key Executives
14.15.3. Product & Services
14.16. Thales Group
14.16.1. Business Overview
14.16.2. Key Executives
14.16.3. Product & Services

15. Appendix
15.1. Discussion Guide
15.2. License & Pricing