Autonomous Train Market by Level of Automation (GOA1, GOA2, GOA3, GOA4), Technology (CBTC, ERTMS, ATC, PTC), Application, Component, Train Type (Metro, Light Rail, Bullet Train/HSR), Track Length, GOA 4 Systems and Region - Global Forecast to 2030
[242 Pages Report] The overall autonomous train market is estimated to grow at a CAGR of 5.1% from 2022 to 2030, to reach 12.3 USD billion by 2030. Asia Pacific is projected to lead the autonomous train market during the forecast period, followed by Europe.
In the Asia Pacific region, the installation of metro lines is growing at a faster pace. The Asia Pacific region is the largest and the fastest growing region in the global autonomous train market because of the increasing infrastructural developments, increase in government spending on the transportation sector, and the ongoing/upcoming projects in various countries. The increased levels of automation and the demand for efficient and safe transportation are the major factors expected to drive the market for autonomous trains. Major players in the market have realized the potential of autonomous trains and have launched various categories of trains with various grades of automation. For instance, in November 2021 Alstom’s launched its Innovia monorail trains on Wuhu Rail Transit’s Line 1 in Anhui Province in China. The new monorail will be elevated and equipped with automatic train operation (ATO) grade of operation 4 (GoA4) which enables the monorail to operate in a fully automated state, without the interference of a driver or attendants.
The autonomous train market by grade of automation is projected to grow at a healthy rate during the forecast period. The GOA 4 segment of the market is projected to grow at the highest CAGR during the forecast period. The growth of the GOA 4 segment is mainly driven by various ongoing projects, countries spending on transportation and infrastructure developments, demand for increased safety as well as cost savings and optimization of the rail network. The GOA 2 segment is expected to lead the market between 2022 and 2030. This segment of the market is one of the basic grades of automation in trains and is present across various train categories.
The autonomous train market, by technology, is estimated at USD 6.4 billion in 2022 and is projected to reach USD 8.6 billion by 2030, growing at a CAGR of 3.7% during the forecast period. By technology, the Communication/Computer-based Train Control (CBTC) segment is estimated to lead the autonomous train market during the forecast period due to benefits such as real-time train control information which increases the line capacity improving the volume trains that operate on the same line. Besides technologies such as Automatic Train Control (ATC) automatically translates the calculated energy-optimized trip profile into precise control commands to the train's propulsion and braking systems and improves the traffic flow and energy consumption which will be a major factor in its rising demand over the forecast period. It can be used to automate normal operations so that all trains move at the exact same speed and follow an optimized speed profile to avoid delays. So, with the rising demand for technology, the autonomous train market will grow in the future.
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Driver: Growing need for safety and compliance in rail transit
Safety of commuters plays a critical role in rail transit as the volume of commuters that travel is significantly high. With rising number of rail commuters across the globe safety is of paramount importance for the rail operators to continue their operations without attracting penal actions from the regulators. Real time monitoring and video surveillance on railway stations as well as in as in the railways can play a significant role in improving the situational awareness and ensure a faster and a more proactive incident response time that can enhance the safety of passengers. Besides safety at the stations and in the train safety of tracks is also of paramount importance. For a smarter and safer transportation network, the software companies have been continuously working on developing communication systems that use wireless technologies to share information between vehicles and infrastructure such as railway traffic lights, intersections & stop signs, warning gates, and so on. Technologies are also being developed to notify the driver if a collision is likely to take place. So, solutions that can further streamline the operational needs such as signalling, control, electrification, voice communication, video, and bulk data transfer are likely to play a critical role in enhancing rail safety. These solutions deliver important safety benefits by means of communication between the integrated systems and applications such as real-time traffic alerts, collision avoidance systems, and crash notification systems. Successful implementation of railway projects depends on multiple facets of technologies, such as data communications, tracking, mobility, and sensors. Rapid developments in these areas, in recent years, have enabled better connectivity of objects, resulting in the development of smarter ecosystems. The introduction of IP version 6 (IPv6) enabled almost every real-world object to connect with the internet. As communication technology has advanced over the years, the benefits of using digital solutions in railway also have increased significantly.
Restraint: Lack of technology infrastructure and interoperability
The poorly developed telecommunication infrastructure and limited availability of access to smart devices in developing countries create barriers in the autonomous train market. High internet access cost also acts as a barrier to autonomous train. With organizations increasingly adopting IoT technologies, pursuing ambient computing technology, and offering various IoT solutions, standardization across data standards, wireless protocols, and technologies has become more divergent to reduce complexities and costs. This is also happening due to the increasing number of newly developed connected devices that run on various platforms and technologies. Autonomous Trains are complex to operate together, which would pose difficulties in interoperability. Different systems and solutions such as operations management systems, traffic management systems, control systems, and asset management systems are connected through established networks. These solutions work on the same standards as well as defined protocol. Thus, the lack of standards and protocol is projected as a key restraint in the autonomous train market.
Opportunity: Increasing emphasis on smart infrastructure
The growing urbanization rate provides a thrust in the evolution of smart cities. Governments across different regions have started initiating smart city projects in order to provide better infrastructure and services and to ensure the streamlining of public transportation services (including railways and roadways) for the benefit of end-users.
Japan currently has one of the largest high-speed rail networks with nine high-speed rail lines serving 22 of its major cities. The country has the busiest high-speed rail service in the world, carrying more than 420,000 passengers on a typical weekday. Its trains travel up to 320 km/h (200 mph), and the railway claims that, in over 50 years of operation, there have been no passenger fatalities or injuries due to accidents.
High-speed rail in China has developed rapidly over the past 15 years. China began planning for its current high-speed rail system in the early 1990s, modelling it after Japan’s Shinkansen system. Chinese high-speed rail service began operation in 2008, running at speeds from 250 km/h to 350 km/h (217 mph) and traveling from Beijing to Tianjin (117 km or 73 miles). China’s HSR network is expected to reach over 38,000 km by 2025, and 45,000 km in the longer term.
European countries have built extensive high-speed rail networks across several cross-border international links. They are focusing continuously on building and upgrading rail networks to international standards. International links between Italy and France, with connections to Switzerland, Austria, and Slovenia, are underway. These links all incorporate extensive new tunnelling under the Alps. European Union funding was approved in 2015 for the Turin–Lyon high-speed railway (at a cost of USD 26 billion), which will connect the French and Italian networks, and provide a link with Slovenia. In a more recent development in Asia, China opened its first privately controlled high-speed railway in Zhejiang province in January 2022, which will be a promising example for private capital to invest in the nation's railway sector and also be a testament to growing investment in the rail infrastructure.
Challenge: Data and privacy security of commuters
Some challenges that are associated with deployment of autonomous trains and achieving the full automation level which include high capital costs of automation, paucity of required infrastructure, potential cyber-attacks. It is expected that reaching the level of full automation for autonomous trains will be more difficult in the countries where multiple passenger and freight operators have to share the same rail tracks, trains have various weights and types, and there are numerous yards and junctions. Hence availability of a robust safety infrastructure for operation of autonomous trains is critical.
The Metro/Monorail train segment segment is estimated to lead the market during the forecast period
The metro/monorail train segment of the market is projected to grow at the highest CAGR of 7.4% in terms of volume,during the forecast period. Metro/monorail train segment is expected to be the fastest growing market because of the rising concerns in terms of the safety of passengers and trains. As the train runs at high speeds compared to conventional trains, the requirement for safety is high. The added advantage of the reduction of operating costs is expected to propel the growth of the Autonomous high-speed rail/bullet train autonomous train market. The light rail segment is estimated to demonstrate a healthy growth during the forecast period. The demand for this segment is estimated to grow on account of rise in demand for various urban transit alternatives such as tram systems.
GOA 2 segment is expected to lead the market between 2022 and 2030 for Autonomous Train Market by Grade of Automation (GOA)
The autonomous train market by grade of automation is projected to grow at a healthy rate during the forecast period. The GOA 2 segment is expected to lead the market between 2022 and 2030. This segment of the market is one of the basic grades of automation in trains and is present across various train categories. The GOA 4 segment of the market is projected to grow at the highest CAGR during the forecast period. The growth of the GOA 4 segment is mainly driven by various ongoing projects, countries spending on transportation and infrastructure developments, demand for increased safety as well as cost savings and optimization of the rail network.
Camera segment is expected to lead the market between 2022 and 2030 for Autonomous Train Market by component
The camera segment is estimated to account for the largest market size of the autonomous train market, by component, due to the need to monitor trains for safety measures. Cameras can also be installed externally on a train which are used to assist train operators in ensuring that doorways are clear, which can prevent accidents. Cameras also help monitor the pantograph which is critical in operation of train that collects power through contact with an overhead line. Clear footage of the pantograph makes it easy for train operators to determine the reason and timing of failure of the pantograph. This market is estimated at 386 thousand units in 2022 and is projected to reach 650 thousand units by 2030.
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Key Market Players
The global autonomous train market is dominated by major players Alstom (France), Siemens (Germany), Hitachi (Japan), Wabtec Corporation (US), and Thales Group (France). These companies have strong distribution networks at a global level. In addition, these companies offer an extensive product range in this market. These companies have adopted strategies such as new product developments, deals and others to sustain their market position.
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|
Report Metric |
Details |
|
Market size available for years |
2018–2030 |
|
Base year considered |
2021 |
|
Forecast period |
2022–2030 |
|
Forecast units |
Volume (Units) and Value (USD Billion) |
|
Segments covered |
By Level of Automation, Train Type, Technology, Application, Track Length, Component, GOA 4 Systems. |
|
Geographies covered |
Asia Pacific, Europe, North America, Middle East & Africa and Rest of the World |
|
Companies Covered |
Alstom (France), Siemens (Germany), Hitachi (Japan), Wabtec Corporation (US), and Thales Group (France) |
By Level of Automation
- GOA 1
- GOA 2
- GOA 3
- GOA 4
By Train Type
- Metro/Monorail
- Light Rail
- High-speed Rail/Bullet Train
By Technology
- CBTC
- ERTMS
- PTC
- ATC
By Application
- Passenger
- Freight
By Component
- Tachometer
- Doppler
- Accelerometer
- Camera
- Antenna
- Radio Set
- Odometer
- RADAR
- LiDAR
By Track Length
- Asia Pacific
- Europe
- North America
- Middle East & Africa
- RoW
By GOA 4 Systems
- Asia Pacific
- Europe
- North America
Based on region:
- Asia Pacific
- China
- India
- Japan
- Rest of Asia Pacific
- North America
- US
- Canada
- Mexico
- Europe
- France
- Germany
- UK
- Rest of Europe
- Middle East & Africa
- UAE
- South Africa
- Rest of Middle East & Africa
- Rest of the World
- Brazil
- Iran
Recent Developments
- In December- 2021, Siemens developed Digital Train Control System in collaboration with VGF (Germany). This system is expected to replace the conventional train control system used in metro and tram networks. This system is developed to increase the capacity and efficiency of train routes, especially in the underground sections.
- In November 2021, Alstom’s Innovia monorail trains entered commercial service on Wuhu Rail Transit’s Line 1 in Anhui Province in China. The train consists of a fleet of 28 six-car. The new monorail will be elevated and equipped with automatic train operation (ATO) grade of operation 4 (GoA4) which enables the monorail to operate in a fully automated state, without the interference of a driver or attendants.
- In October- 2021, as part of the Digital S-Bahn Hamburg project, Deutsche Bahn (DB) and Siemens Mobility (a division of Siemens) developed the world’s first automatic train, which is fully automated and controlled by digital technology and needs no human interference
- In September 2021, Hitachi launched the PTC solution to help automate its product development processes, enhance product innovation, and reduce delivery time for rail applications. This launch will also help improve the company’s manufacturing process and cost management.
- In December 2021, CRRC (China) launched its autonomous train for Shenzhen Metro Line 16 (China). It delivers a speed of 80 km/h and comprises 6 Type A cars. It adopts the GOA4 level technology and can operate in a fully automatic mode without the participation of drivers and conductors.
Frequently Asked Questions (FAQ):
What are different segments are covered in report for autonomous train market?
The autonomous train market, by Level of Automation, Train Type, Technology, Application, Track Length, Component, GOA 4 Systems and Region
Who are the major players in the autonomous train market?
Alstom (France), Siemens (Germany), Hitachi (Japan), Wabtec Corporation (US), and Thales Group (France) are the leading players operating in the autonomous train market.
What are the key strategies adopted by top players to increase their revenue?
These companies adopted multiple strategies, including new product developments, deals and others to stay ahead in this competitive market.
What are the new market trends impacting the growth of the autonomous train market?
Increasing emphasis on smart infrastructure, growing need for safety and compliance in rail transit is driving the autonomous train market.
Which regions are considered in the report?
The report covers market sizing for regions includes Asia Pacific, Europe, North America, Middle East & Africa and Rest of World. .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 28)
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 AUTONOMOUS TRAIN MARKET DEFINITION, BY TRAIN TYPE
1.2.2 MARKET DEFINITION, BY GRADE OF AUTOMATION
1.2.3 MARKET DEFINITION, BY TECHNOLOGY
1.3 MARKET: INCLUSIONS AND EXCLUSIONS
1.4 MARKET SCOPE
1.4.1 YEARS CONSIDERED
1.5 PACKAGE SIZE
1.6 CURRENCY CONSIDERED
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 34)
2.1 RESEARCH DATA
FIGURE 1 AUTONOMOUS TRAIN MARKET: RESEARCH DESIGN
FIGURE 2 RESEARCH METHODOLOGY MODEL
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.1.2 List of secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
TABLE 1 LIST OF PARTICIPATING COMPANIES FOR PRIMARY RESEARCH
2.1.2.2 Key industry insights
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS
2.2 MARKET SIZE ESTIMATION
FIGURE 4 MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH
FIGURE 5 SIZE ESTIMATION: TOP-DOWN APPROACH
FIGURE 6 DEMAND-SIDE APPROACH
2.3 BASE NUMBER CALCULATION
2.3.1 SUPPLY-SIDE APPROACH
2.4 FACTOR ANALYSIS
2.4.1 FACTOR ANALYSIS FOR MARKET SIZING: DEMAND AND SUPPLY SIDES
2.5 DATA TRIANGULATION
FIGURE 7 MARKET BREAKDOWN AND DATA TRIANGULATION
2.6 ASSUMPTIONS
2.7 RISK ASSESSMENT
2.8 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY (Page No. - 47)
FIGURE 8 AUTONOMOUS TRAIN MARKET: MARKET OVERVIEW
FIGURE 9 MARKET, BY REGION, 2022 VS. 2030 (UNITS)
FIGURE 10 MARKET, BY TRAIN TYPE, 2022 VS. 2030 (UNITS)
4 PREMIUM INSIGHTS (Page No. - 50)
4.1 ATTRACTIVE OPPORTUNITIES IN AUTONOMOUS TRAIN MARKET
FIGURE 11 ADVANCED TECHNOLOGIES AND INCREASING GOVERNMENT INVESTMENTS TO DRIVE MARKET
4.2 MARKET, BY REGION
FIGURE 12 EUROPE ESTIMATED TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022
4.3 MARKET, BY TECHNOLOGY
FIGURE 13 CBTC SEGMENT PROJECTED TO LEAD MARKET, 2022- 2030 (USD MILLION)
4.4 MARKET, BY APPLICATION
FIGURE 14 PASSENGER SEGMENT PROJECTED TO LEAD MARKET, 2022- 2030 (UNITS)
4.5 MARKET, BY TRAIN TYPE
FIGURE 15 METRO/MONORAIL SEGMENT TO LEAD MARKET, 2022-2030 (UNITS)
4.6 MARKET, BY GRADE OF AUTOMATION (GOA)
FIGURE 16 GOA 2 SEGMENT TO LEAD MARKET, 2022-2030 (UNITS)
5 MARKET OVERVIEW (Page No. - 53)
5.1 INTRODUCTION
TABLE 2 IMPACT OF MARKET DYNAMICS
5.2 MARKET DYNAMICS
FIGURE 17 AUTONOMOUS TRAIN MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increased safety and service benefits for onboard passengers
TABLE 3 AUTONOMOUS TRAIN TECHNOLOGIES AND THEIR BENEFITS
5.2.1.2 Increased budget allocations along with upcoming rail projects
TABLE 4 PROPOSED RAPID TRANSIT PROJECTS IN ASIA PACIFIC
TABLE 5 MAJOR LIGHT RAIL PROJECTS IN ASIA PACIFIC
TABLE 6 PROPOSED LIGHT RAIL PROJECTS IN ASIA PACIFIC
TABLE 7 MAJOR HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN EUROPE
TABLE 8 PROPOSED RAPID TRANSIT PROJECTS IN EUROPE
5.2.1.3 Growing need for safety and compliance in rail transit
TABLE 9 RAIL COMMUTER DATA FOR EUROPE (IN THOUSANDS)
5.2.2 RESTRAINTS
5.2.2.1 Lack of technology infrastructure and interoperability
TABLE 10 GLOBAL HIGH-SPEED RAIL NETWORK IN DEVELOPED COUNTRIES (2020)
TABLE 11 GLOBAL HIGH-SPEED RAIL NETWORK IN DEVELOPING COUNTRIES (2020)
5.2.2.2 Slow GDP and inadequate infrastructure spending in developing countries
TABLE 12 KEY INDICATORS FOR INVESTMENTS IN RAIL INDUSTRY
5.2.2.3 High initial investments
5.2.3 OPPORTUNITIES
5.2.3.1 Development of autonomous freight trains
TABLE 13 DIFFERENT MODES OF FREIGHT TRANSPORTATION
5.2.3.2 Low energy consumption and operational cost
FIGURE 18 COMPARISON OF ENERGY CONSUMPTION AND CO2 EMISSION PER PASSENGER KILOMETER
5.2.3.3 Increasing emphasis on smart infrastructure
5.2.3.4 Improved passenger experience and real-time infrastructure monitoring
TABLE 14 ADVANTAGES OF AUTONOMOUS TRAINS
5.2.4 CHALLENGES
5.2.4.1 Inability of DTO systems to carry out required protection functions during emergencies and lack of human intervention
5.2.4.2 Lack of comprehensive infrastructure, high cost, and threat of cyberattacks
FIGURE 19 DIGITAL RAIL INFRASTRUCTURE
TABLE 15 INCIDENTS OF RAIL COMMUTER DATA BREACH (2020-2022)
5.3 PORTER’S FIVE FORCES ANALYSIS
FIGURE 20 PORTER'S FIVE FORCES ANALYSIS
TABLE 16 AUTONOMOUS TRAIN MARKET: IMPACT OF PORTER’S 5 FORCES
5.3.1 THREAT OF NEW ENTRANTS
5.3.2 THREAT OF SUBSTITUTES
5.3.3 BARGAINING POWER OF SUPPLIERS
5.3.4 BARGAINING POWER OF BUYERS
5.3.5 RIVALRY AMONG EXISTING COMPETITORS
5.4 MACROECONOMIC INDICATORS
5.4.1 GDP TRENDS AND FORECAST FOR MAJOR ECONOMIES
TABLE 17 GDP TRENDS AND FORECAST, BY COUNTRY, 2018–2026 (USD BILLION)
5.5 DETAILED LIST OF CONFERENCES & EVENTS
TABLE 18 AUTONOMOUS TRAIN MARKET: DETAILED LIST OF CONFERENCES & EVENTS
5.6 LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 19 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 20 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 21 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7 PATENT ANALYSIS
TABLE 22 PATENT ANALYSIS: AUTONOMOUS TRAIN MARKET (ACTIVE PATENTS)
FIGURE 21 EUROPE PATENT APPLICATIONS: DIGITAL TECHNOLOGY, BY APPLICANT, 2020
5.8 VALUE CHAIN ANALYSIS
FIGURE 22 VALUE CHAIN ANALYSIS: MARKET
5.9 ECOSYSTEM ANALYSIS
FIGURE 23 MARKET: ECOSYSTEM ANALYSIS
TABLE 23 MARKET: ROLE OF COMPANIES IN ECOSYSTEM
5.10 TRADE ANALYSIS
FIGURE 24 US: IMPORT AND EXPORT DATA FOR RAILWAYS AND TRAMWAYS, LOCOMOTIVES, ROLLING STOCK, AND PARTS, 2015-2020 (USD MILLION)
FIGURE 25 CHINA: IMPORT AND EXPORT DATA FOR RAILWAYS AND TRAMWAYS, LOCOMOTIVES, ROLLING STOCK, AND PARTS, 2015-2020 (USD MILLION)
5.11 TECHNOLOGY ANALYSIS
5.11.1 POSITIVE TRAIN CONTROL (PTC)
5.11.2 COMMUNICATION/COMPUTER-BASED TRAIN CONTROL (CBTC)
5.11.3 AUTOMATIC/INTEGRATED TRAIN CONTROL (ATC)
5.11.4 PASSENGER INFORMATION SYSTEM (PIS)
5.12 TRENDS AND DISRUPTIONS
FIGURE 26 TRENDS AND DISRUPTIONS IN AUTONOMOUS TRAIN MARKET
5.13 AVERAGE SELLING PRICE
TABLE 24 PRICING ANALYSIS FOR MARKET (USD)
5.14 REGULATORY OVERVIEW
5.14.1 EUROPEAN NETWORK AND INFORMATION SECURITY AGENCY (ENISA)
TABLE 25 EUROPEAN NETWORK AND INFORMATION SECURITY AGENCY STANDARDS
5.14.2 GENERAL DATA PROTECTION REGULATION (GDPR)
5.14.3 INTERNATIONAL UNION OF RAILWAYS (UIC)
5.15 SCENARIO ANALYSIS (2022–2030)
5.15.1 MOST LIKELY SCENARIO
TABLE 26 AUTONOMOUS TRAIN MARKET: MOST LIKELY SCENARIO, BY REGION, 2022–2030(UNITS)
5.15.2 OPTIMISTIC SCENARIO
TABLE 27 MARKET: OPTIMISTIC SCENARIO, BY REGION, 2022–2030 (UNITS)
5.15.3 PESSIMISTIC SCENARIO
TABLE 28 MARKET: PESSIMISTIC SCENARIO, BY REGION, 2022–2030 (UNITS)
5.16 CASE STUDY
5.16.1 CISCO CASE STUDY
5.16.2 ALSTOM PARTNERED WITH SNC-LAVALIN FOR REM PROJECT IN CANADA
5.16.3 BANE NOR (NORWAY) SELECTED THALES TO PROVIDE NEXT-GENERATION NATIONWIDE TRAFFIC MANAGEMENT SYSTEM
5.16.4 INTELLIGENT SOFTWARE SYSTEM BY HUAWEI ANALYZES DATA, IMPROVES SURVEILLANCE EFFICIENCY, AND IMPLEMENTS CONVENIENT SURVEILLANCE MANAGEMENT SOLUTIONS FOR QINGHAI–TIBET RAILWAY
5.17 KEY STAKEHOLDERS & BUYING CRITERIA
TABLE 29 INFLUENCE OF STAKEHOLDERS IN BUYING TOP 3 AUTONOMOUS TRAIN TECHNOLOGY/PRODUCTS (%)
5.17.1 BUYING CRITERIA
TABLE 30 KEY BUYING CRITERIA FOR AUTONOMOUS TRAIN PRODUCTS AND SERVICES
TABLE 31 INSTRUMENTS FOR QUALITY CONTROL FOR AUTONOMOUS TRAIN PRODUCTS AND SERVICES
6 AUTONOMOUS TRAIN MARKET, BY TRAIN TYPE (Page No. - 91)
6.1 INTRODUCTION
FIGURE 27 MARKET, BY TRAIN TYPE, 2022 VS. 2030 (UNITS)
TABLE 32 MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 33 MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
TABLE 34 MARKET, BY TRAIN TYPE, 2018–2021 (USD MILLION)
TABLE 35 MARKET, BY TRAIN TYPE, 2022–2030 (USD MILLION)
6.1.1 OPERATIONAL DATA
TABLE 36 MAJOR RAPID TRANSIT PROJECTS IN ASIA PACIFIC
TABLE 37 PROPOSED LIGHT RAIL PROJECTS IN ASIA PACIFIC
TABLE 38 MAJOR LIGHT RAIL PROJECTS IN ASIA PACIFIC
TABLE 39 PROPOSED HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN EUROPE
TABLE 40 MAJOR RAPID TRANSIT PROJECTS IN EUROPE
6.1.2 ASSUMPTIONS
6.1.3 RESEARCH METHODOLOGY
6.2 METRO/MONORAIL
6.2.1 INCREASING URBANIZATION TO DRIVE SEGMENT
TABLE 41 METRO/MONORAIL: AUTONOMOUS TRAIN MARKET, BY GRADE OF AUTOMATION, 2018–2021 (UNITS)
TABLE 42 METRO/MONORAIL: MARKET, BY GRADE OF AUTOMATION, 2022–2030 (UNITS)
6.3 LIGHT RAIL
6.3.1 CONCERNS OVER ROAD TRAFFIC DUE TO OVERPOPULATION AND MIGRATION TO DRIVE SEGMENT
TABLE 43 LIGHT RAIL: MARKET, BY GRADE OF AUTOMATION, 2018–2021 (UNITS)
TABLE 44 LIGHT RAIL: MARKET, BY GRADE OF AUTOMATION, 2022–2030 (UNITS)
6.4 HIGH-SPEED RAIL/BULLET TRAIN
6.4.1 SEVERAL UPCOMING PROJECTS TO DRIVE SEGMENT
TABLE 45 HIGH-SPEED RAIL/BULLET TRAIN: AUTONOMOUS TRAIN MARKET, BY GRADE OF AUTOMATION, 2018–2021 (UNITS)
TABLE 46 HIGH-SPEED RAIL/BULLET TRAIN: MARKET, BY GRADE OF AUTOMATION, 2022–2030 (UNITS)
6.5 KEY PRIMARY INSIGHTS
FIGURE 28 KEY PRIMARY INSIGHTS
7 AUTONOMOUS TRAIN MARKET, BY APPLICATION (Page No. - 102)
7.1 INTRODUCTION
FIGURE 29 MARKET, BY APPLICATION, 2022 VS 2030 (UNITS)
TABLE 47 MARKET, BY APPLICATION, 2018–2021 (UNITS)
TABLE 48 MARKET, BY APPLICATION, 2022–2030 (UNITS)
7.1.1 OPERATIONAL DATA
TABLE 49 AUTONOMOUS TRAIN OFFERINGS
7.1.2 ASSUMPTIONS
7.1.3 RESEARCH METHODOLOGY
7.2 PASSENGER TRAIN
7.2.1 NEED FOR INCREASED PASSENGER SAFETY AND ADVANCED AUTONOMOUS TRAIN TECHNOLOGIES TO DRIVE SEGMENT
TABLE 50 PASSENGER TRAIN: AUTONOMOUS TRAIN MARKET, BY GRADE OF AUTOMATION, 2018–2021 (UNITS)
TABLE 51 PASSENGER TRAIN: MARKET, BY GRADE OF AUTOMATION, 2022–2030 (UNITS)
7.3 FREIGHT TRAIN
7.3.1 NEED FOR SAFE AND EFFICIENT TRANSPORT OF COMMODITIES TO DRIVE SEGMENT
TABLE 52 FREIGHT TRAIN: MARKET, BY GRADE OF AUTOMATION, 2018–2021 (UNITS)
TABLE 53 FREIGHT TRAIN: MARKET, BY GRADE OF AUTOMATION, 2022–2030 (UNITS)
7.4 KEY PRIMARY INSIGHTS
FIGURE 30 KEY PRIMARY INSIGHTS
8 AUTONOMOUS TRAIN MARKET, BY GRADE OF AUTOMATION (Page No. - 109)
8.1 INTRODUCTION
FIGURE 31 MARKET, BY GRADE OF AUTOMATION, 2022 VS. 2030 (UNITS)
TABLE 54 MARKET, BY GRADE OF AUTOMATION, 2018–2021 (UNITS)
TABLE 55 MARKET, BY GRADE OF AUTOMATION, 2022–2030 (UNITS)
8.1.1 ASSUMPTIONS
8.1.2 RESEARCH METHODOLOGY
8.2 GOA 1
8.2.1 HIGH GLOBAL ADOPTION OF METRO/MONORAIL TO DRIVE SEGMENT
TABLE 56 GOA 1: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 57 GOA 1: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
8.3 GOA 2
8.3.1 NEED FOR IMPROVED OPERATIONAL EFFICIENCY TO DRIVE SEGMENT
TABLE 58 GOA 2: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 59 GOA 2: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
8.4 GOA 3
8.4.1 NEED FOR SAFETY AND SECURITY OF TRAINS TO DRIVE SEGMENT
TABLE 60 GOA 3: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 61 GOA 3: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
8.5 GOA 4
8.5.1 NEED TO MINIMIZE INEFFICIENCIES DUE TO HUMAN INTERVENTION TO DRIVE SEGMENT
TABLE 62 GOA 4: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 63 GOA 4: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
8.6 KEY PRIMARY INSIGHTS
FIGURE 32 KEY PRIMARY INSIGHTS
9 AUTONOMOUS TRAIN MARKET, BY TECHNOLOGY (Page No. - 116)
9.1 INTRODUCTION
FIGURE 33 MARKET, BY TECHNOLOGY, 2022 VS. 2030 (USD MILLION)
TABLE 64 MARKET, BY TECHNOLOGY, 2018–2021 (USD MILLION)
TABLE 65 MARKET, BY TECHNOLOGY, 2022–2030 (USD MILLION)
9.1.1 OPERATIONAL DATA
TABLE 66 SIGNALING SYSTEM TECHNOLOGIES
9.1.2 ASSUMPTIONS
9.1.3 RESEARCH METHODOLOGY
9.2 POSITIVE TRAIN CONTROL (PTC)
9.2.1 IMPROVING RAIL INFRASTRUCTURE TO DRIVE SEGMENT
TABLE 67 POSITIVE TRAIN CONTROL: AUTONOMOUS TRAIN MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 68 POSITIVE TRAIN CONTROL: MARKET, BY REGION, 2022–2030 (USD MILLION)
9.3 COMMUNICATION/COMPUTER-BASED TRAIN CONTROL (CBTC)
9.3.1 NEED FOR SAFE RAIL LINES TO DRIVE SEGMENT
TABLE 69 COMMUNICATION/COMPUTER-BASED TRAIN CONTROL: MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 70 COMMUNICATION/COMPUTER-BASED TRAIN CONTROL: MARKET, BY REGION, 2022–2030 (USD MILLION)
9.4 AUTOMATED TRAIN CONTROL (ATC)
9.4.1 TECHNOLOGICAL DEVELOPMENTS TO DRIVE SEGMENT
TABLE 71 AUTOMATED TRAIN CONTROL: AUTONOMOUS TRAIN MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 72 AUTOMATED TRAIN CONTROL: MARKET, BY REGION, 2022–2030 (USD MILLION)
9.5 EUROPEAN RAILWAY TRAFFIC MANAGEMENT SYSTEM (ERTMS)
9.5.1 BENEFITS LIKE SMOOTH OPERATION OF HIGH-VOLUME TRAFFIC TO DRIVE SEGMENT
TABLE 73 ERTMS: MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 74 ERTMS: MARKET, BY REGION, 2022–2030 (USD MILLION)
9.6 KEY PRIMARY INSIGHTS
FIGURE 34 KEY PRIMARY INSIGHTS
10 AUTONOMOUS TRAIN MARKET, BY WORLDWIDE PROJECTS (Page No. - 126)
10.1 INTRODUCTION
10.2 ASIA PACIFIC
10.2.1 MAJOR/UPCOMING METRO/MONORAIL PROJECTS IN ASIA PACIFIC
TABLE 75 MAJOR/UPCOMING METRO/MONORAIL PROJECTS IN ASIA PACIFIC
10.2.2 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN ASIA PACIFIC
TABLE 76 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN ASIA PACIFIC
10.2.3 MAJOR/UPCOMING HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN ASIA PACIFIC
TABLE 77 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN ASIA PACIFIC
10.2.4 MAJOR GOA 4 TRAIN SYSTEM PROJECTS IN ASIA PACIFIC
10.2.4.1 China
TABLE 78 CHINA: GOA 4 TRAIN SYSTEMS
10.2.4.2 India
TABLE 79 INDIA: GOA 4 TRAIN SYSTEMS
10.2.4.3 South Korea
TABLE 80 SOUTH KOREA: GOA 4 TRAIN SYSTEMS
10.3 EUROPE
10.3.1 UPCOMING METRO/MONORAIL PROJECTS IN EUROPE
TABLE 81 UPCOMING METRO/MONORAIL PROJECTS IN EUROPE
10.3.2 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN EUROPE
TABLE 82 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN EUROPE
10.3.3 MAJOR/UPCOMING HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN EUROPE
TABLE 83 MAJOR/UPCOMING HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN EUROPE
10.3.4 MAJOR GOA 4 TRAIN SYSTEM PROJECTS IN EUROPE
10.3.4.1 France
TABLE 84 FRANCE: GOA 4 TRAIN SYSTEMS
10.3.4.2 Germany
TABLE 85 GERMANY: GOA 4 TRAIN SYSTEMS
10.3.4.3 Italy
TABLE 86 ITALY: GOA 4 TRAIN SYSTEMS
10.3.4.4 Spain
TABLE 87 SPAIN: GOA 4 TRAIN SYSTEMS
10.4 NORTH AMERICA
10.4.1 MAJOR/UPCOMING METRO/MONORAIL PROJECTS IN NORTH AMERICA
TABLE 88 MAJOR METRO/MONORAIL PROJECTS IN NORTH AMERICA
10.4.2 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN NORTH AMERICA
TABLE 89 MAJOR/UPCOMING LIGHT RAIL PROJECTS IN NORTH AMERICA
10.4.3 UPCOMING HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN NORTH AMERICA
TABLE 90 PROPOSED HIGH-SPEED RAIL/BULLET TRAIN PROJECTS IN NORTH AMERICA
10.4.4 MAJOR GOA 4 TRAIN SYSTEM PROJECTS IN NORTH AMERICA
10.4.4.1 Canada
TABLE 91 CANADA: GOA 4 TRAIN SYSTEMS
10.4.4.2 US
TABLE 92 US: GOA 4 TRAIN SYSTEMS
10.5 MIDDLE EAST & AFRICA & AFRICA (MEA)
10.5.1 UPCOMING METRO/MONORAIL PROJECTS IN MIDDLE EAST & AFRICA & AFRICA
TABLE 93 PROPOSED METRO/MONORAIL PROJECTS IN MIDDLE EAST & AFRICA & AFRICA
10.6 REST OF THE WORLD (ROW)
10.6.1 UPCOMING METRO/MONORAIL PROJECTS IN REST OF THE WORLD
TABLE 94 PROPOSED METRO/MONORAIL PROJECTS IN REST OF THE WORLD
11 AUTONOMOUS TRAIN MARKET, BY COMPONENT (Page No. - 144)
11.1 INTRODUCTION
11.1.1 ASSUMPTIONS
11.1.2 RESEARCH METHODOLOGY
11.2 TACHOMETER
11.2.1 NEED TO MAINTAIN SAFE SPEED BETWEEN TWO TRAINS TO DRIVE SEGMENT
FIGURE 35 TACHOMETER: MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 95 TACHOMETER: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 96 TACHOMETER: MARKET, BY REGION, 2022–2030 (UNITS)
11.3 DOPPLER
11.3.1 INCREASING DEMAND FOR SAFETY OF TRAINS TO DRIVE SEGMENT
FIGURE 36 DOPPLER: MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 97 DOPPLER: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 98 DOPPLER: MARKET, BY REGION, 2022–2030 (UNITS)
11.4 ACCELEROMETER
11.4.1 GROWING ADOPTION OF AUTOMATED CONTROLS TO DRIVE SEGMENT
FIGURE 37 ACCELEROMETER: MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 99 ACCELEROMETER: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
TABLE 100 ACCELEROMETER: MARKET, BY REGION, 2022–2030 (UNITS)
11.5 CAMERA
11.5.1 NEED FOR MONITORING OTHER RAIL COMPONENTS TO DRIVE SEGMENT
FIGURE 38 CAMERA: MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 101 CAMERA: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 102 CAMERA: MARKET, BY REGION, 2022–2030 (UNITS)
11.6 ANTENNA
11.6.1 NEED FOR TRAIN SIGNALING AND SATELLITE POSITIONING TO DRIVE SEGMENT
FIGURE 39 ANTENNA: AUTONOMOUS TRAIN MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 103 ANTENNA: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 104 ANTENNA: MARKET, BY REGION, 2022–2030 (UNITS)
11.7 RADIO SET
11.7.1 GROWING PROSPECT OF DRIVERLESS TRAINS TO DRIVE SEGMENT
FIGURE 40 RADIO SET: MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 105 RADIO SET: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 106 RADIO SET: MARKET, BY REGION, 2022–2030 (UNITS)
11.8 ODOMETER
11.8.1 NEED FOR ACHIEVING HIGHER LEVEL OF TRAIN AUTONOMY TO DRIVE SEGMENT
FIGURE 41 ODOMETER: AUTONOMOUS TRAIN MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 107 ODOMETER: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 108 ODOMETER: MARKET, BY REGION, 2022–2030 (UNITS)
11.9 RADAR
11.9.1 NEED TO DETECT OBJECTS WITHIN A DEFINED RANGE TO DRIVE SEGMENT
FIGURE 42 RADAR: MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 109 RADAR: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 110 RADAR: MARKET, BY REGION, 2022–2030 (UNITS)
11.10 LIDAR
11.10.1 NEED FOR ADVANCED SAFETY SYSTEMS IN TRAINS TO DRIVE SEGMENT
FIGURE 43 LIDAR: AUTONOMOUS TRAIN MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 111 LIDAR: MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 112 LIDAR: MARKET, BY REGION, 2022–2030 (UNITS)
11.11 KEY PRIMARY INSIGHTS
FIGURE 44 KEY PRIMARY INSIGHTS
12 AUTONOMOUS TRAIN MARKET, BY REGION (Page No. - 159)
12.1 INTRODUCTION
FIGURE 45 MARKET, BY REGION, 2022 VS. 2030 (UNITS)
TABLE 113 MARKET, BY REGION, 2018–2021 (UNITS)
TABLE 114 MARKET, BY REGION, 2022–2030 (UNITS)
12.2 ASIA PACIFIC
12.2.1 CHINA
12.2.1.1 Government investments in railway infrastructure to drive market
12.2.2 INDIA
12.2.2.1 Growing profits in railway sector and smart city initiatives to drive market
12.2.3 JAPAN
12.2.3.1 Higher adoption of railway technologies to drive market
12.2.4 SOUTH KOREA
12.2.4.1 Increasing investments in network extensions to drive segment
FIGURE 46 ASIA PACIFIC: AUTONOMOUS TRAIN MARKET SNAPSHOT
TABLE 115 ASIA PACIFIC: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 116 ASIA PACIFIC: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
12.3 EUROPE
12.3.1 UK
12.3.1.1 Need to improve efficiency of existing railway infrastructure to drive market
12.3.2 GERMANY
12.3.2.1 Growing adoption of IoT to drive market
12.3.3 FRANCE
12.3.3.1 High investments by railway operators to drive market
12.3.4 ITALY
12.3.4.1 Rising government investments to drive market
12.3.5 SPAIN
12.3.5.1 Existence of longest high-speed rail network to drive market
12.3.6 REST OF EUROPE
FIGURE 47 EUROPE: AUTONOMOUS TRAIN MARKET, BY TRAIN TYPE (UNITS)
TABLE 117 EUROPE: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 118 EUROPE: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
12.4 NORTH AMERICA
12.4.1 US
12.4.1.1 Government initiatives to drive market
12.4.2 CANADA
12.4.2.1 Increasing number of passengers and growing freight traffic to drive market
12.4.3 MEXICO
12.4.3.1 Strategic location and development of rail infrastructure to drive market
FIGURE 48 NORTH AMERICA: AUTONOMOUS TRAIN MARKET SNAPSHOT
TABLE 119 NORTH AMERICA: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 120 NORTH AMERICA: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
12.5 MIDDLE EAST & AFRICA (MEA)
12.5.1 UAE
12.5.1.1 Improving rail infrastructure to drive market
12.5.2 SOUTH AFRICA
12.5.2.1 Increased demand for transportation services to match regional trade requirements to drive market
12.5.3 REST OF MIDDLE EAST & AFRICA
TABLE 121 REST OF MIDDLE EAST & AFRICA: AUTONOMOUS TRAIN MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 122 REST OF MIDDLE EAST & AFRICA: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
12.6 REST OF THE WORLD (ROW)
12.6.1 BRAZIL
12.6.1.1 High scope for further development of railway infrastructure to drive market
12.6.2 IRAN
12.6.2.1 Expansions and upcoming projects to drive market
TABLE 123 ROW: MARKET, BY TRAIN TYPE, 2018–2021 (UNITS)
TABLE 124 ROW: MARKET, BY TRAIN TYPE, 2022–2030 (UNITS)
13 COMPETITIVE LANDSCAPE (Page No. - 176)
13.1 OVERVIEW
13.2 MARKET SHARE ANALYSIS FOR AUTONOMOUS TRAIN MARKET
TABLE 125 MARKET SHARE ANALYSIS, 2021
FIGURE 49 MARKET SHARE ANALYSIS, 2021
13.2.1 ALSTOM
13.2.2 SIEMENS
13.2.3 HITACHI
13.2.4 WABTEC CORPORATION
13.2.5 THALES GROUP
13.3 KEY PLAYER STRATEGIES
TABLE 126 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN AUTONOMOUS TRAIN MARKET
13.4 REVENUE ANALYSIS OF TOP LISTED/PUBLIC PLAYERS, 2021
FIGURE 50 TOP PUBLIC/LISTED PLAYERS DOMINATING MARKET DURING THE LAST FIVE YEARS
13.5 COMPETITIVE SCENARIO
13.5.1 NEW PRODUCT LAUNCHES
TABLE 127 NEW PRODUCT LAUNCHES, 2018-2022
13.5.2 DEALS
TABLE 128 DEALS, 2018–2022
13.6 COMPANY EVALUATION QUADRANT
13.6.1 STARS
13.6.2 EMERGING LEADERS
13.6.3 PERVASIVE COMPANIES
13.6.4 PARTICIPANTS
FIGURE 51 AUTONOMOUS TRAIN MARKET: COMPANY EVALUATION QUADRANT, 2021
TABLE 129 MARKET: COMPANY FOOTPRINT, 2021
TABLE 130 MARKET: PRODUCT FOOTPRINT, 2021
TABLE 131 MARKET: REGIONAL FOOTPRINT, 2021
13.7 START-UP/SME EVALUATION QUADRANT
13.7.1 PROGRESSIVE COMPANIES
13.7.2 RESPONSIVE COMPANIES
13.7.3 DYNAMIC COMPANIES
13.7.4 STARTING BLOCKS
FIGURE 52 AUTONOMOUS TRAIN MARKET: START-UP/SME EVALUATION QUADRANT, 2021
TABLE 132 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
TABLE 133 MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS [STARTUPS/SMES]
14 COMPANY PROFILES (Page No. - 188)
14.1 KEY PLAYERS
(Business overview. Recent developments, MnM view, Right to win, Strategic choices made, and Weaknesses and competitive threats)*
14.1.1 ALSTOM
TABLE 134 ALSTOM: BUSINESS OVERVIEW
FIGURE 53 ALSTOM: COMPANY SNAPSHOT
FIGURE 54 ALSTOM: GEOGRAPHIC PRESENCE, 2021
FIGURE 55 ALSTOM: NEW BUSINESS OPPORTUNITY SCOPE
TABLE 135 ALSTOM: PRODUCTS OFFERED
TABLE 136 ALSTOM: NEW PRODUCT DEVELOPMENTS
TABLE 137 ALSTOM: DEALS
TABLE 138 ALSTOM: OTHERS
14.1.2 SIEMENS
TABLE 139 SIEMENS: BUSINESS OVERVIEW
FIGURE 56 SIEMENS: COMPANY SNAPSHOT
TABLE 140 SIEMENS: PRODUCTS OFFERED
TABLE 141 SIEMENS: NEW PRODUCT DEVELOPMENTS
TABLE 142 SIEMENS: DEALS
14.1.3 HITACHI LTD.
TABLE 143 HITACHI LTD.: BUSINESS OVERVIEW
FIGURE 57 HITACHI LTD.: COMPANY SNAPSHOT
TABLE 144 HITACHI LTD: PRODUCTS OFFERED
TABLE 145 HITACHI LTD: DEALS
14.1.4 WABTEC CORPORATION
TABLE 146 WABTEC CORPORATION: BUSINESS OVERVIEW
FIGURE 58 WABTEC CORPORATION: COMPANY SNAPSHOT
TABLE 147 WABTEC CORPORATION: PRODUCTS OFFERED
TABLE 148 WABTEC CORPORATION: NEW PRODUCT DEVELOPMENTS
TABLE 149 WABTEC CORPORATION: DEALS
TABLE 150 WABTEC CORPORATION: OTHERS
14.1.5 THALES GROUP
TABLE 151 THALES GROUP: BUSINESS OVERVIEW
FIGURE 59 THALES GROUP: OVERVIEW
FIGURE 60 THALES GROUP: COMPANY SNAPSHOT
TABLE 152 THALES GROUP: PRODUCTS/SERVICES OFFERED
TABLE 153 THALES GROUP: DEALS
TABLE 154 THALES GROUP: OTHERS
14.1.6 MITSUBISHI HEAVY INDUSTRIES
TABLE 155 MITSUBISHI HEAVY INDUSTRIES: BUSINESS OVERVIEW
FIGURE 61 MITSUBISHI HEAVY INDUSTRIES: COMPANY SNAPSHOT
TABLE 156 MITSUBISHI HEAVY INDUSTRIES: PRODUCTS OFFERED
TABLE 157 MITSUBISHI HEAVY INDUSTRIES: DEALS
14.1.7 CRRC
TABLE 158 CRRC: BUSINESS OVERVIEW
FIGURE 62 CRRC: COMPANY SNAPSHOT
TABLE 159 CRRC: PRODUCTS OFFERED
TABLE 160 CRRC: NEW PRODUCT DEVELOPMENTS
TABLE 161 CRRC: DEALS
14.1.8 ABB
TABLE 162 ABB: BUSINESS OVERVIEW
FIGURE 63 ABB: COMPANY SNAPSHOT
TABLE 163 ABB: PRODUCTS OFFERED
TABLE 164 ABB: DEALS
TABLE 165 ABB: OTHERS
14.1.9 CAF
TABLE 166 CAF: BUSINESS OVERVIEW
FIGURE 64 CAF: COMPANY SNAPSHOT
TABLE 167 CAF: PRODUCTS OFFERED
TABLE 168 CAF: DEALS
14.1.10 NOKIA
TABLE 169 NOKIA: BUSINESS OVERVIEW
FIGURE 65 NOKIA: COMPANY SNAPSHOT
TABLE 170 NOKIA: PRODUCTS OFFERED
TABLE 171 NOKIA: DEALS
14.2 OTHER KEY REGIONAL PLAYERS
14.2.1 BEIJING TRAFFIC CONTROL TECHNOLOGY
TABLE 172 BEIJING TRAFFIC CONTROL TECHNOLOGY: BUSINESS OVERVIEW
14.2.2 TECH MAHINDRA LTD.
TABLE 173 TECH MAHINDRA: BUSINESS OVERVIEW
14.2.3 HOLLYSYS
TABLE 174 HOLLYSYS: BUSINESS OVERVIEW
14.2.4 DEUTSCHE BAHN
TABLE 175 DEUTSCHE BAHN: BUSINESS OVERVIEW
14.2.5 DEUTA
TABLE 176 DEUTA: BUSINESS OVERVIEW
14.2.6 BELDEN
TABLE 177 BELDEN: BUSINESS OVERVIEW
14.2.7 AMERICAN EQUIPMENT COMPANY
TABLE 178 AMERICAN EQUIPMENT COMPANY: BUSINESS OVERVIEW
14.2.8 INGETEAM
TABLE 179 INGETEAM: BUSINESS OVERVIEW
14.2.9 TRANSMASHHOLDING
TABLE 180 TRANSMASHHOLDING: BUSINESS OVERVIEW
14.2.10 TVEMA
TABLE 181 TVEMA: BUSINESS OVERVIEW
14.2.11 KAWASAKI HEAVY INDUSTRIES
TABLE 182 KAWASAKI HEAVY INDUSTRIES: BUSINESS OVERVIEW
14.2.12 CALAMP
TABLE 183 CALAMP: BUSINESS OVERVIEW
*Details on Business overview. Recent developments, MnM view, Right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.
15 RECOMMENDATIONS BY MARKETSANDMARKETS (Page No. - 234)
15.1 ASIA PACIFIC TO OPEN OPPORTUNITIES FOR AUTONOMOUS TRAIN MARKET
15.2 ADVANCED RAIL TECHNOLOGIES WILL SUPPORT AUTOMATION OF TRAINS
15.3 CONCLUSION
16 APPENDIX (Page No. - 235)
16.1 KEY INDUSTRY INSIGHTS
16.2 DISCUSSION GUIDE
16.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
16.4 CUSTOMIZATION OPTIONS
16.5 RELATED REPORTS
16.6 AUTHOR DETAILS
The study involved four major activities in estimating the current market size of the autonomous train market. Exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across value chains through primary research. The top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation processes were used to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources such as company annual reports/presentations, press releases, industry association publications such as The European Rail Industry (UNIFE), International Union of Railways, Federal Railroad Administration, Association of American Railroads, International Association of Railway Operation Research etc., railway magazine articles, directories, technical handbooks, world economic outlook, trade websites, technical articles, and databases (Marklines, Factiva etc.) have been used to identify and collect for an extensive commercial study of the global autonomous train market.
Primary Research
Extensive primary research has been conducted after acquiring an understanding of this market scenario through secondary research. Several primary interviews have been conducted with market experts from the demand- and supply-side OEMs (in terms of component supply, country-level government associations, and trade associations) and component manufacturers across major regions, namely, Asia Pacific, Europe, North America, Middle East & Africa and Rest of the World. Approximately 30% and 70% of primary interviews have been conducted from the demand and supply side, respectively. Primary data has been collected through questionnaires, emails, LinkedIn, and telephonic interviews. In the canvassing of primaries, we have strived to cover various departments within organizations, such as sales, operations, and administration, to provide a holistic viewpoint in our report.
After interacting with industry experts, we conducted brief sessions with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report. Following is the breakdown of primary respondents.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
The top-down approach was used to estimate and validate the total market size. This method was also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- Key players in the autonomous train market were identified through secondary research, and their market shares were determined through primary and secondary research
- The research methodology included the study of the annual and quarterly financial reports & regulatory filings of major market players, as well as interviews with industry experts for detailed market insights
- All major penetration rates, percentage shares, splits, and breakdowns for the autonomous train market were determined using secondary sources and verified through primary sources
- All key macro indicators affecting the revenue growth of the market segments and subsegments were accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the validated and verified quantitative & qualitative data
- The gathered market data was consolidated and added with detailed inputs, analyzed, and presented in this report
Data Triangulation
After arriving at the overall market size—using the market size estimation processes as explained above—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Report Objectives
- To analyze and forecast the size of the autonomous train market, in terms of volume (units/thousand units), from 2022 to 2030
- To analyze and forecast the size of the autonomous train market, in terms of volume (units), based on the grade of automation (grade of automation 1, grade of automation 2, grade of automation 3, and grade of automation 4) from 2022 to 2030
- To analyze and forecast the size of the autonomous train market, in terms of value
(USD billion/million), based on technology (Automatic Train Control (ATC), Communication-based Train Control (CBTC), Positive Train Control (PTC), and European Railway Traffic Management System (ERTMS) from 2022 to 2030 - To analyze and forecast the size of the autonomous train market, in terms of volume (units) and USD billion, based on train type (metro/monorail, light rail, and high-speed rail/bullet train) from 2022 to 2030
- To analyze and forecast the size of the autonomous train market, in terms of volume (units), based on component (tachometer, doppler, accelerometer, sensor, camera, antenna, odometer, radar, lidar) from 2022 to 2030
- To analyze and forecast the size of the autonomous train market, in terms of volume (units), based on application (passenger and freight) from 2022 to 2030
- To qualitatively analyze autonomous train market, in terms of GOA 4 systems for different regions.
- To analyze and forecast the size of the autonomous train market, in terms of track length, for different regions
- To identify the market dynamics, including drivers, restraints, opportunities, and challenges, and analyze their impact on the autonomous train market
- To define, describe, and project the size of the autonomous train market, in terms of volume (units), based on region (Asia Pacific, Europe, North America, the Middle East & Africa, and Rest of the World (RoW)) from 2022 to 2030
- To analyze the competitive leadership map for the key players operating in the autonomous train market based on their business strategies from 2018-2022.
- To track and analyze competitive developments such as, new product developments, deals and other industry-related activities carried out by the key players to strengthen their position in the autonomous train market.
- To analyze the opportunities offered by various segments of the market to its stakeholders
- To analyze and forecast the trends and orientation for autonomous train in the global rail industry
- To track and analyze competitive developments such as new product development, deals, and other industry activities carried out by key industry participants
- To analyze opportunities for stakeholders and the competitive landscape for market leaders
- To strategically profile key players and comprehensively analyze their respective market share and core competencies
- To provide detailed information regarding the major factors influencing the market growth (drivers, challenges, restraints, and opportunities)
- To strategically analyze the market with respect to individual growth trends, prospects, and contributions to the total market
Available Customizations
MarketsandMarkets offers the following customizations for this market:
- Autonomous train market, additional components
- Profiling of additional market players (Up to 3)
Generating Response ...
Growth opportunities and latent adjacency in Autonomous Train Market