Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Industry 3600 synopsis, 2018 - 2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Supplier landscape
3.2.1 Raw material suppliers
3.2.2 Manufacturers
3.2.3 Technology providers
3.2.4 Service providers
3.2.5 Distributors
3.2.6 End-users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Growing urbanization has increased demand for efficient transportation solutions
3.8.1.2 Safety enhancements drive adoption of autonomous train technology
3.8.1.3 Advancements in AI and sensor technologies
3.8.1.4 Government initiatives promote investment in autonomous transport
3.8.2 Industry pitfalls & challenges
3.8.2.1 High initial investments
3.8.2.2 Technological complexities and integration challenges
3.9 Growth potential analysis
3.10 Porter’s analysis
3.10.1 Supplier power
3.10.2 Buyer power
3.10.3 Threat of new entrants
3.10.4 Threat of substitutes
3.10.5 Industry rivalry
3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Component 2018 - 2032 ($Bn, Units)
5.1 Key trends
5.2 RADAR module
5.3 Optical sensor & camera
5.4 Odometer
5.5 Antenna
5.6 LiDAR module
5.7 Infrared camera
5.8 Others
Chapter 6 Market Estimates & Forecast, By Grade, 2018 - 2032 ($Bn)
6.1 Key trends
6.2 GoA1
6.3 GoA2
6.4 GoA3
6.5 GoA4
Chapter 7 Market Estimates & Forecast, By Train, 2018 - 2032 ($Bn, Units)
7.1 Key trends
7.2 Long distance train
7.2.1 Automatic train control
7.2.2 Communication-based train control
7.2.3 Positive train control
7.3 Suburban
7.3.1 Automatic train control
7.3.2 Communication-based train control
7.3.3 Positive train control
7.4 Tram
7.4.1 Automatic train control
7.4.2 Communication-based train control
7.4.3 Positive train control
7.5 Monorail
7.5.1 Automatic train control
7.5.2 Communication-based train control
7.5.3 Positive train control
7.6 Metro
7.6.1 Automatic train control
7.6.2 Communication-based train control
7.6.3 Positive train control
Chapter 8 Market Estimates & Forecast, By Technology, 2018 - 2032 ($Bn)
8.1 Key trends
8.2 Automatic train control
8.3 Communication-based train control
8.4 Positive train control
Chapter 9 Market Estimates & Forecast, By Region, 2018 - 2032 ($Bn, Units)
9.1 Key trends
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Spain
9.3.5 Italy
9.3.6 Russia
9.3.7 Nordics
9.3.8 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 ANZ
9.4.6 Southeast Asia
9.4.7 Rest of Asia Pacific
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.5.4 Rest of Latin America
9.6 MEA
9.6.1 UAE
9.6.2 South Africa
9.6.3 Saudi Arabia
9.6.4 Rest of MEA
Chapter 10 Company Profiles
10.1 ABB Ltd.
10.2 Alstom S.A.
10.3 Ansaldo STS
10.4 Bombardier Transportation
10.5 Cisco Systems Inc.
10.6 CRRC Corporation Limited
10.7 General Electric Company
10.8 Hitachi Ltd
10.9 Hydra Technologies
10.10 Kawasaki Heavy Industries Rolling Stock Company
10.11 Knorr-Bremse
10.12 Mitsubishi Electric
10.13 Nippon Signal
10.14 Qualcomm Technologies, Inc.
10.15 Rockwell Automation Inc.
10.16 Schneider Electric
10.17 Siemens AG
10.18 Sierra Wireless
10.19 Thales Group
10.20 Wabtec Corporation
