Autonomous Train Technology Market Dynamics 2021-2031
The autonomous train technology market is expected to register a CAGR of 6.3% during 2023–2031. The evolution of advanced technologies in the transportation sector is likely to remain a key trend in the market.
Autonomous Train Technology Market Analysis
- The growing demand for a consistent, fast, safe and efficient mode of transportation is attributed to autonomous train technology.
- Additionally, the market for autonomous train technology is expanding due to the need to reduce casualties caused by human error.
- The development of public infrastructure to meet future transportation needs and the construction of affordable transportation systems to relieve pressure on the road transportation system.
- The development of railways to implement modern technologies, and other factors are also propelling the growth of the autonomous train technology market.
Autonomous Train Technology Market Overview
- The development of autonomous trains for both passengers and freight (ATs) has been made possible by the rise of autonomous vehicles using advanced connected vehicle technologies.
- With the use of advanced internet and communication technologies, including digital video detection cameras, dedicated short-range communications, Internet of Things, high-speed internet (5G), and artificial intelligence-based techniques, ATs are completely automated trains that are managed centrally.
- To maintain profitability and to effectively meet the demand for rail transportation, railroad companies are significantly making improvements to their current operations in response to the growth in rail freight and passenger traffic as well as the continuous expansion of the rail network.
Customize Research To Suit Your Requirement
We can optimize and tailor the analysis and scope which is unmet through our standard offerings. This flexibility will help you gain the exact information needed for your business planning and decision making.
Autonomous Train Technology Market: Strategic Insights
Naveen
Have a question?
Naveen will walk you through a 15-minute call to present the report’s content and answer all queries if you have any.
Speak to Analyst
Customize Research To Suit Your Requirement
We can optimize and tailor the analysis and scope which is unmet through our standard offerings. This flexibility will help you gain the exact information needed for your business planning and decision making.
Autonomous Train Technology Market: Strategic Insights
Naveen
Have a question?
Naveen will walk you through a 15-minute call to present the report’s content and answer all queries if you have any.
Speak to Analyst
Autonomous Train Technology Market Drivers and Opportunities
Increasing Global Trade and Focus on Connectivity to Favor the Market
- The adoption of autonomous train technology is prompted by the need for reliable and efficient transportation systems to facilitate the seamless exchange of goods and services across borders.
- Improved connectivity makes it possible to exchange data in real time, which facilitates remote train monitoring and control, optimizes operations, and ensures safety.
- Additionally, as trade between countries grows, so does the need for more affordable and ecologically friendly modes of transportation, which is driving the market for autonomous train technology.
High Demand for Digitalization of Railways
- Growth in railway budgets globally is expected to support the market's expansion, as more rail traffic demands the constant application of safety systems.
- Autonomous technologies are anticipated to see a rise in the market as the number of railways globally increases.
- In addition, enhancements in railway infrastructure, especially in developing countries, and an increase in rail-borne freight transfer will create potential opportunities in the market.
Autonomous Train Technology Market Report Segmentation Analysis
Key segments that contributed to the derivation of the autonomous train technology market analysis are grade of automation, train type, and component.
- Based on the grade of automation, the autonomous train technology market is divided into Grade of Automation 1 (GOA 1), Grade of Automation 2 (GOA 2), Grade of Automation 3 (GOA 3), Grade of Automation 4 (GOA 4).
- Based on train type, the autonomous train technology market is divided into passenger trains and freight trains.
- Based on technology, the autonomous train technology market is divided into communication-based train control (CBTC), European railway traffic management system (ERTMS), automatic train control (ATC), positive train control (PTC))
- Based on components, the autonomous train technology market is divided into the camera, accelerometer, odometer, tachometer, and others.
Autonomous Train Technology Market Share Analysis by Geography
- The autonomous train technology market report comprises a detailed analysis of five major geographic regions, which includes current and historical market size and forecasts for 2021 to 2031, covering North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA), and South & Central America.
- Each region is further sub-segmented into respective countries. This report provides analysis and forecasts of 18+ countries, covering autonomous train technology market dynamics such as drivers, trends, and opportunities that are impacting the markets at the regional level.
- Also, the report covers PEST analysis, which involves the study of major factors that influence the autonomous train technology market in these regions.
Autonomous Train Technology Market Report Scope
Autonomous Train Technology Market News and Recent Developments
The autonomous train technology market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. A few of the developments in the autonomous train technology market are listed below:
- Siemens Mobility will upgrade the first section of Finland's rail network under the Finnish government's "Digirail project," which involves renewing the country's train control system. The contract was recently awarded and includes the installation of the European Train Control System Levels 2 [ETCS L2] and the Hybrid Train Detection [HTD] for the first time in Finland on the 191-kilometer stretch between Lielahti and Rauma-Pori. This marks another milestone in the implementation of Siemens Mobility's latest interlocking and radio block center technology on the new DS3 platform, which is entirely based on commercial-off-the-shelf [COTS] hardware. The new train control system aims to increase the network's capacity, improve punctuality, minimize disruptions, and enhance the safety of operations. It will pave the way for a more sustainable, efficient, and safe railway network and is expected to be in commercial service by 2031. (Source: Siemens, Press Release, April 2024)
Autonomous Train Technology Market Report Coverage and Deliverables
The “Autonomous Train Technology Market Size and Forecast (2021–2031)” report provides a detailed analysis of the market covering below areas:
- Autonomous train technology market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
- Autonomous train technology market trends as well as market dynamics such as drivers, restraints, and key opportunities
- Detailed PEST/Porter’s Five Forces and SWOT analysis
- Autonomous train technology market analysis covering key market trends, global and regional framework, major players, regulations, and recent market developments
- Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments in the autonomous train technology market
- Detailed company profiles
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
Some of the customization options available based on request are additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.
The report can be delivered in PDF/PPT format; we can also share an excel dataset based on the request.
The leading players operating in the autonomous train technology market are ABB, Alstom S.A., CRRC Transportation, General Electric, Hitachi Ltd., Kawasaki Heavy Industries Ltd., Mitsubishi Heavy Industries, and Siemens AG.
An increase in the application of high-end technology in the railway sector is anticipated to play a significant role in the global autonomous train technology market in the coming years.
The global autonomous train technology market is expected to grow at a CAGR of 6.3% during the forecast period 2023 - 2031.
The rapid technological advancement in the transportation and railway sector is one of the major factors driving the autonomous train technology market.
TABLE OF CONTENTS
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Autonomous Train Technology - By Grade of Automation
1.3.2 Autonomous Train Technology - By Train Type
1.3.3 Autonomous Train Technology - By Technology
1.3.4 Autonomous Train Technology - By Component
1.3.5 Autonomous Train Technology - By Region
1.3.5.1 By Country
2. KEY TAKEWAYS
3. RESEARCH METHODOLOGY
4. AUTONOMOUS TRAIN TECHNOLOGY LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Middle East and Africa - Pest Analysis
4.2.5 South and Central America - Pest Analysis
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. AUTONOMOUS TRAIN TECHNOLOGY - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
6. AUTONOMOUS TRAIN TECHNOLOGY - GLOBAL MARKET ANALYSIS
6.1. AUTONOMOUS TRAIN TECHNOLOGY - GLOBAL MARKET OVERVIEW
6.2. AUTONOMOUS TRAIN TECHNOLOGY - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. AUTONOMOUS TRAIN TECHNOLOGY - REVENUE AND FORECASTS TO 2028 - GRADE OF AUTOMATION
7.1. OVERVIEW
7.2. GRADE OF AUTOMATION MARKET FORECASTS AND ANALYSIS
7.3. GRADE OF AUTOMATION 1 (GOA 1)
7.3.1. Overview
7.3.2. Grade of Automation 1 (GOA 1) Market Forecast and Analysis
7.4. GRADE OF AUTOMATION 2 (GOA 2)
7.4.1. Overview
7.4.2. Grade of Automation 2 (GOA 2) Market Forecast and Analysis
7.5. GRADE OF AUTOMATION 3 (GOA 3)
7.5.1. Overview
7.5.2. Grade of Automation 3 (GOA 3) Market Forecast and Analysis
7.6. GRADE OF AUTOMATION 4 (GOA 4)
7.6.1. Overview
7.6.2. Grade of Automation 4 (GOA 4) Market Forecast and Analysis
8. AUTONOMOUS TRAIN TECHNOLOGY - REVENUE AND FORECASTS TO 2028 - TRAIN TYPE
8.1. OVERVIEW
8.2. TRAIN TYPE MARKET FORECASTS AND ANALYSIS
8.3. PASSENGER TRAIN
8.3.1. Overview
8.3.2. Passenger Train Market Forecast and Analysis
8.4. FREIGHT TRAIN
8.4.1. Overview
8.4.2. Freight Train Market Forecast and Analysis
9. AUTONOMOUS TRAIN TECHNOLOGY - REVENUE AND FORECASTS TO 2028 - TECHNOLOGY
9.1. OVERVIEW
9.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
9.3. COMMUNICATION BASED TRAIN CONTROL (CBTC)
9.3.1. Overview
9.3.2. Communication Based Train Control (CBTC) Market Forecast and Analysis
9.4. EUROPEAN RAILWAY TRAFFIC MANAGEMENT SYSTEM (ERTMS)
9.4.1. Overview
9.4.2. European Railway Traffic Management System (ERTMS) Market Forecast and Analysis
9.5. AUTOMATIC TRAIN CONTROL (ATC)
9.5.1. Overview
9.5.2. Automatic Train Control (ATC) Market Forecast and Analysis
9.6. POSITIVE TRAIN CONTROL (PTC)
9.6.1. Overview
9.6.2. Positive Train Control (PTC) Market Forecast and Analysis
10. AUTONOMOUS TRAIN TECHNOLOGY - REVENUE AND FORECASTS TO 2028 - COMPONENT
10.1. OVERVIEW
10.2. COMPONENT MARKET FORECASTS AND ANALYSIS
10.3. CAMERA
10.3.1. Overview
10.3.2. Camera Market Forecast and Analysis
10.4. ACCELEROMETER
10.4.1. Overview
10.4.2. Accelerometer Market Forecast and Analysis
10.5. ODOMETER
10.5.1. Overview
10.5.2. Odometer Market Forecast and Analysis
10.6. TACHOMETER
10.6.1. Overview
10.6.2. Tachometer Market Forecast and Analysis
10.7. OTHERS
10.7.1. Overview
10.7.2. Others Market Forecast and Analysis
11. AUTONOMOUS TRAIN TECHNOLOGY REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
11.1. NORTH AMERICA
11.1.1 North America Autonomous Train Technology Overview
11.1.2 North America Autonomous Train Technology Forecasts and Analysis
11.1.3 North America Autonomous Train Technology Forecasts and Analysis - By Grade of Automation
11.1.4 North America Autonomous Train Technology Forecasts and Analysis - By Train Type
11.1.5 North America Autonomous Train Technology Forecasts and Analysis - By Technology
11.1.6 North America Autonomous Train Technology Forecasts and Analysis - By Component
11.1.7 North America Autonomous Train Technology Forecasts and Analysis - By Countries
11.1.7.1 Canada Autonomous Train Technology
11.1.7.1.1 Canada Autonomous Train Technology by Grade of Automation
11.1.7.1.2 Canada Autonomous Train Technology by Train Type
11.1.7.1.3 Canada Autonomous Train Technology by Technology
11.1.7.1.4 Canada Autonomous Train Technology by Component
11.1.7.2 Mexico Autonomous Train Technology
11.1.7.2.1 Mexico Autonomous Train Technology by Grade of Automation
11.1.7.2.2 Mexico Autonomous Train Technology by Train Type
11.1.7.2.3 Mexico Autonomous Train Technology by Technology
11.1.7.2.4 Mexico Autonomous Train Technology by Component
11.1.7.3 US Autonomous Train Technology
11.1.7.3.1 US Autonomous Train Technology by Grade of Automation
11.1.7.3.2 US Autonomous Train Technology by Train Type
11.1.7.3.3 US Autonomous Train Technology by Technology
11.1.7.3.4 US Autonomous Train Technology by Component
11.2. EUROPE
11.2.1 Europe Autonomous Train Technology Overview
11.2.2 Europe Autonomous Train Technology Forecasts and Analysis
11.2.3 Europe Autonomous Train Technology Forecasts and Analysis - By Grade of Automation
11.2.4 Europe Autonomous Train Technology Forecasts and Analysis - By Train Type
11.2.5 Europe Autonomous Train Technology Forecasts and Analysis - By Technology
11.2.6 Europe Autonomous Train Technology Forecasts and Analysis - By Component
11.2.7 Europe Autonomous Train Technology Forecasts and Analysis - By Countries
11.2.7.1 Germany Autonomous Train Technology
11.2.7.1.1 Germany Autonomous Train Technology by Grade of Automation
11.2.7.1.2 Germany Autonomous Train Technology by Train Type
11.2.7.1.3 Germany Autonomous Train Technology by Technology
11.2.7.1.4 Germany Autonomous Train Technology by Component
11.2.7.2 France Autonomous Train Technology
11.2.7.2.1 France Autonomous Train Technology by Grade of Automation
11.2.7.2.2 France Autonomous Train Technology by Train Type
11.2.7.2.3 France Autonomous Train Technology by Technology
11.2.7.2.4 France Autonomous Train Technology by Component
11.2.7.3 Italy Autonomous Train Technology
11.2.7.3.1 Italy Autonomous Train Technology by Grade of Automation
11.2.7.3.2 Italy Autonomous Train Technology by Train Type
11.2.7.3.3 Italy Autonomous Train Technology by Technology
11.2.7.3.4 Italy Autonomous Train Technology by Component
11.2.7.4 Spain Autonomous Train Technology
11.2.7.4.1 Spain Autonomous Train Technology by Grade of Automation
11.2.7.4.2 Spain Autonomous Train Technology by Train Type
11.2.7.4.3 Spain Autonomous Train Technology by Technology
11.2.7.4.4 Spain Autonomous Train Technology by Component
11.2.7.5 United Kingdom Autonomous Train Technology
11.2.7.5.1 United Kingdom Autonomous Train Technology by Grade of Automation
11.2.7.5.2 United Kingdom Autonomous Train Technology by Train Type
11.2.7.5.3 United Kingdom Autonomous Train Technology by Technology
11.2.7.5.4 United Kingdom Autonomous Train Technology by Component
11.2.7.6 Rest of Europe Autonomous Train Technology
11.2.7.6.1 Rest of Europe Autonomous Train Technology by Grade of Automation
11.2.7.6.2 Rest of Europe Autonomous Train Technology by Train Type
11.2.7.6.3 Rest of Europe Autonomous Train Technology by Technology
11.2.7.6.4 Rest of Europe Autonomous Train Technology by Component
11.3. ASIA-PACIFIC
11.3.1 Asia-Pacific Autonomous Train Technology Overview
11.3.2 Asia-Pacific Autonomous Train Technology Forecasts and Analysis
11.3.3 Asia-Pacific Autonomous Train Technology Forecasts and Analysis - By Grade of Automation
11.3.4 Asia-Pacific Autonomous Train Technology Forecasts and Analysis - By Train Type
11.3.5 Asia-Pacific Autonomous Train Technology Forecasts and Analysis - By Technology
11.3.6 Asia-Pacific Autonomous Train Technology Forecasts and Analysis - By Component
11.3.7 Asia-Pacific Autonomous Train Technology Forecasts and Analysis - By Countries
11.3.7.1 Australia Autonomous Train Technology
11.3.7.1.1 Australia Autonomous Train Technology by Grade of Automation
11.3.7.1.2 Australia Autonomous Train Technology by Train Type
11.3.7.1.3 Australia Autonomous Train Technology by Technology
11.3.7.1.4 Australia Autonomous Train Technology by Component
11.3.7.2 China Autonomous Train Technology
11.3.7.2.1 China Autonomous Train Technology by Grade of Automation
11.3.7.2.2 China Autonomous Train Technology by Train Type
11.3.7.2.3 China Autonomous Train Technology by Technology
11.3.7.2.4 China Autonomous Train Technology by Component
11.3.7.3 India Autonomous Train Technology
11.3.7.3.1 India Autonomous Train Technology by Grade of Automation
11.3.7.3.2 India Autonomous Train Technology by Train Type
11.3.7.3.3 India Autonomous Train Technology by Technology
11.3.7.3.4 India Autonomous Train Technology by Component
11.3.7.4 Japan Autonomous Train Technology
11.3.7.4.1 Japan Autonomous Train Technology by Grade of Automation
11.3.7.4.2 Japan Autonomous Train Technology by Train Type
11.3.7.4.3 Japan Autonomous Train Technology by Technology
11.3.7.4.4 Japan Autonomous Train Technology by Component
11.3.7.5 South Korea Autonomous Train Technology
11.3.7.5.1 South Korea Autonomous Train Technology by Grade of Automation
11.3.7.5.2 South Korea Autonomous Train Technology by Train Type
11.3.7.5.3 South Korea Autonomous Train Technology by Technology
11.3.7.5.4 South Korea Autonomous Train Technology by Component
11.3.7.6 Rest of Asia-Pacific Autonomous Train Technology
11.3.7.6.1 Rest of Asia-Pacific Autonomous Train Technology by Grade of Automation
11.3.7.6.2 Rest of Asia-Pacific Autonomous Train Technology by Train Type
11.3.7.6.3 Rest of Asia-Pacific Autonomous Train Technology by Technology
11.3.7.6.4 Rest of Asia-Pacific Autonomous Train Technology by Component
11.4. MIDDLE EAST AND AFRICA
11.4.1 Middle East and Africa Autonomous Train Technology Overview
11.4.2 Middle East and Africa Autonomous Train Technology Forecasts and Analysis
11.4.3 Middle East and Africa Autonomous Train Technology Forecasts and Analysis - By Grade of Automation
11.4.4 Middle East and Africa Autonomous Train Technology Forecasts and Analysis - By Train Type
11.4.5 Middle East and Africa Autonomous Train Technology Forecasts and Analysis - By Technology
11.4.6 Middle East and Africa Autonomous Train Technology Forecasts and Analysis - By Component
11.4.7 Middle East and Africa Autonomous Train Technology Forecasts and Analysis - By Countries
11.4.7.1 South Africa Autonomous Train Technology
11.4.7.1.1 South Africa Autonomous Train Technology by Grade of Automation
11.4.7.1.2 South Africa Autonomous Train Technology by Train Type
11.4.7.1.3 South Africa Autonomous Train Technology by Technology
11.4.7.1.4 South Africa Autonomous Train Technology by Component
11.4.7.2 Saudi Arabia Autonomous Train Technology
11.4.7.2.1 Saudi Arabia Autonomous Train Technology by Grade of Automation
11.4.7.2.2 Saudi Arabia Autonomous Train Technology by Train Type
11.4.7.2.3 Saudi Arabia Autonomous Train Technology by Technology
11.4.7.2.4 Saudi Arabia Autonomous Train Technology by Component
11.4.7.3 U.A.E Autonomous Train Technology
11.4.7.3.1 U.A.E Autonomous Train Technology by Grade of Automation
11.4.7.3.2 U.A.E Autonomous Train Technology by Train Type
11.4.7.3.3 U.A.E Autonomous Train Technology by Technology
11.4.7.3.4 U.A.E Autonomous Train Technology by Component
11.4.7.4 Rest of Middle East and Africa Autonomous Train Technology
11.4.7.4.1 Rest of Middle East and Africa Autonomous Train Technology by Grade of Automation
11.4.7.4.2 Rest of Middle East and Africa Autonomous Train Technology by Train Type
11.4.7.4.3 Rest of Middle East and Africa Autonomous Train Technology by Technology
11.4.7.4.4 Rest of Middle East and Africa Autonomous Train Technology by Component
11.5. SOUTH AND CENTRAL AMERICA
11.5.1 South and Central America Autonomous Train Technology Overview
11.5.2 South and Central America Autonomous Train Technology Forecasts and Analysis
11.5.3 South and Central America Autonomous Train Technology Forecasts and Analysis - By Grade of Automation
11.5.4 South and Central America Autonomous Train Technology Forecasts and Analysis - By Train Type
11.5.5 South and Central America Autonomous Train Technology Forecasts and Analysis - By Technology
11.5.6 South and Central America Autonomous Train Technology Forecasts and Analysis - By Component
11.5.7 South and Central America Autonomous Train Technology Forecasts and Analysis - By Countries
11.5.7.1 Brazil Autonomous Train Technology
11.5.7.1.1 Brazil Autonomous Train Technology by Grade of Automation
11.5.7.1.2 Brazil Autonomous Train Technology by Train Type
11.5.7.1.3 Brazil Autonomous Train Technology by Technology
11.5.7.1.4 Brazil Autonomous Train Technology by Component
11.5.7.2 Argentina Autonomous Train Technology
11.5.7.2.1 Argentina Autonomous Train Technology by Grade of Automation
11.5.7.2.2 Argentina Autonomous Train Technology by Train Type
11.5.7.2.3 Argentina Autonomous Train Technology by Technology
11.5.7.2.4 Argentina Autonomous Train Technology by Component
11.5.7.3 Rest of South and Central America Autonomous Train Technology
11.5.7.3.1 Rest of South and Central America Autonomous Train Technology by Grade of Automation
11.5.7.3.2 Rest of South and Central America Autonomous Train Technology by Train Type
11.5.7.3.3 Rest of South and Central America Autonomous Train Technology by Technology
11.5.7.3.4 Rest of South and Central America Autonomous Train Technology by Component
12. INDUSTRY LANDSCAPE
12.1. MERGERS AND ACQUISITIONS
12.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3. NEW PRODUCT LAUNCHES
12.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
13. AUTONOMOUS TRAIN TECHNOLOGY, KEY COMPANY PROFILES
13.1. ABB
13.1.1. Key Facts
13.1.2. Business Description
13.1.3. Products and Services
13.1.4. Financial Overview
13.1.5. SWOT Analysis
13.1.6. Key Developments
13.2. ALSTOM S.A.
13.2.1. Key Facts
13.2.2. Business Description
13.2.3. Products and Services
13.2.4. Financial Overview
13.2.5. SWOT Analysis
13.2.6. Key Developments
13.3. BOMBARDIER TRANSPORTATION
13.3.1. Key Facts
13.3.2. Business Description
13.3.3. Products and Services
13.3.4. Financial Overview
13.3.5. SWOT Analysis
13.3.6. Key Developments
13.4. CRRC TRANSPORTATION
13.4.1. Key Facts
13.4.2. Business Description
13.4.3. Products and Services
13.4.4. Financial Overview
13.4.5. SWOT Analysis
13.4.6. Key Developments
13.5. GENERAL ELECTRIC
13.5.1. Key Facts
13.5.2. Business Description
13.5.3. Products and Services
13.5.4. Financial Overview
13.5.5. SWOT Analysis
13.5.6. Key Developments
13.6. HITACHI LTD.
13.6.1. Key Facts
13.6.2. Business Description
13.6.3. Products and Services
13.6.4. Financial Overview
13.6.5. SWOT Analysis
13.6.6. Key Developments
13.7. KAWASAKI HEAVY INDUSTRIES
13.7.1. Key Facts
13.7.2. Business Description
13.7.3. Products and Services
13.7.4. Financial Overview
13.7.5. SWOT Analysis
13.7.6. Key Developments
13.8. MITSUBISHI HEAVY INDUSTRIES
13.8.1. Key Facts
13.8.2. Business Description
13.8.3. Products and Services
13.8.4. Financial Overview
13.8.5. SWOT Analysis
13.8.6. Key Developments
13.9. SIEMENS AG
13.9.1. Key Facts
13.9.2. Business Description
13.9.3. Products and Services
13.9.4. Financial Overview
13.9.5. SWOT Analysis
13.9.6. Key Developments
13.10. THALES GROUP
13.10.1. Key Facts
13.10.2. Business Description
13.10.3. Products and Services
13.10.4. Financial Overview
13.10.5. SWOT Analysis
13.10.6. Key Developments
14. APPENDIX
14.1. ABOUT THE INSIGHT PARTNERS
14.2. GLOSSARY OF TERMS
The List of Companies
1. ABB
2. Alstom S.A.
3. Bombardier Transportation
4. CRRC Transportation
5. General Electric
6. Hitachi Ltd.
7. Kawasaki Heavy Industries
8. Mitsubishi Heavy Industries
9. Siemens AG
10. Thales Group
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
Get Free Sample For