The anticipated size of the automated people mover market in 2022 was US$ 486.7 million and is estimated to be US$ 499.8 million in 2023.
The rise in the preference toward automated people movers over conventional transit systems by imposing fewer maintenance costs with the simultaneous rise in the need for fast, reliable, and cost-effective transportation solutions is anticipated to surge the demand for the automated people mover market over the forecast period.
Future Market Insights opines that the automated people mover market is predicted to expand at a CAGR of 6.05% between 2023 and 2033, totaling around US$ 899.3 million by 2033.
The global automated people mover market is estimated to reach by system type, where the duo rail system currently accounts for more than 80% share as it requires minimal space compared to conventional rail systems, both horizontally and vertically.
North America is anticipated to hold a dominant share of the market due to the growing need for technology-driven APM that enhance passenger safety. As per the analysis, North America held 36.5% of the total market share in 2022.
Traditional transportation systems require costly maintenance tasks regularly, therefore, automated people movers with reliable and effective design solutions incur lower maintenance costs. Also, low initial and lifecycle costs of automated people movers are driving the demand in the market.
The automated people mover market accounts for around 2.8% of the global passenger rail transport market. Future Market Insights estimated a comparison analysis for the automated people mover market. Moreover, the market for automated people movers is predicted to develop significantly as urbanization continues at its current rate.
Many people in the world live in cities, which makes the construction of efficient and quick transportation systems necessary. Further, related operational cost is a key factor for both operators and passengers. Automated people movers save money since they have cutting-edge technology and innovative design ideas that guarantee maximum passenger capacity.
One of the key reasons responsible for the increase in growth rate is expanding application of automated people movers at airports, urban transit, amusement parks, and shopping and commercial centers.
Urban transit networks have changed significantly, making it necessary to find quick, dependable, and affordable transportation solutions. The urban population is getting more and more interested in finding ways to travel more quickly without sacrificing comfort. Additionally, an autonomous people mover is a highly accessible mode of transportation that ensures the availability of the most passenger space while reducing headways.
Automated people movers are advantageous in crowded transit because of their small size and short length. Demand for automated people movers is predicted to increase as urban transportation needs become more pressing.
| Attributes | Details |
|---|---|
| Projected Forecast Value (2022) | US$ 486.7 million |
| Projected Forecast Value (2023) | US$ 499.8 million |
| Projected Forecast Value (2033) | US$ 899.3 million |
| Growth rate | 6.05% CAGR |
| Forecast period | 2023 to 2033 |
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The global automated people mover market expanded at a CAGR of 5.28% between 2018 and 2022. Growth forecasts remain optimistic, with the market predicted to exhibit a CAGR of 6.05% between 2023 and 2033.
Demand for automated people movers increased over the forecast period, due to increasing applications of automated people movers at airports, urban transit, amusement parks, and shopping and commercial centers. In addition, the increasing pace of urbanization is expected to have a significant impact on the growth of the automated people mover market. Around 75% of the world's population lives in cities, necessitating the development of convenient and fast transportation systems.
In the age of urbanization, a functional transportation system is a must for achieving long-term human mobility. An automated people mover is a technologically sophisticated transportation system that is efficient compared to a traditional transit system in terms of operation.
For both operators and passengers, the associated operational cost is a key consideration. Also, automated people movers are cost-efficient because they are equipped with smart technology and optimal design solutions that assure maximum passenger capacity.
Governments across various developed and developing countries such as the United States, Canada, Japan, China, and India are making significant investments in the development of airports. Moreover, increasing air traffic and airport capacity are listed as factors driving the need for a long-term transportation solution. The need for automated people movers is predicted to rise amid this trend.
Most international airports are likely to implement APMs to control and maintain airport traffic as airport passenger traffic is increasing by an average rate of 4.5% year-on-year by 2033. This is expected to influence the growth of the market further.
Increase and Development in Urban Population
Urban transit networks have evolved dramatically, necessitating the need for quick, dependable, and cost-effective transportation options. The urban populace is increasingly concerned about reducing travel time while maintaining the highest degree of comfort.
The automated people mover is a highly accessible transport option with an optimal design solution that assures maximum passenger space availability while minimizing headways. Compared to traditional transit systems, an automated people mover is a less noisy mode of transportation.
In the urban transportation system, noise reduction is a critical element. Congestion is common in urban transportation, necessitating a compact solution to reduce increased travel time.
Automated people movers have a compact design and a short length, which offers an advantage in dealing with crowded transit. Further, the rising requirement for efficient urban transit solutions is anticipated to drive demand for automated people movers.
Principal Consultant
Concentrating on both Contracts and Commercial Opportunities to Maintain Project Retention
Automated people mover project is a custom-made project with long-term contracts. Also, market players are devising strategic plans to enter into development contracts for automated people movers by tailoring them to specific needs.
For operational efficiency, most transit operations and maintenance activities are performed by other companies after the development. Moreover, contracts for operations and maintenance often range from five to thirty years, offering strong commercial prospects and project retention.
Manufacturers of automated people movers are concentrating on obtaining both contracts and commercial opportunities to maintain project retention. Additionally, several urban transit and airport requirements are gaining momentum in developing economies such as the Middle East and Southeast Asia.
Air passenger density is growing in countries such as the United Arab Emirates(UAE), Singapore, and Indonesia. Furthermore, rapid urbanization in Indonesia, Malaysia, Singapore, Thailand, and other Southeast Asian countries is likely to necessitate the development of dependable urban transportation systems. As a result, these factors are projected to propel sales of automated people movers.
Increasing Air Passenger Traffic at Airports is Likely to Boost Demand for APM
The United States accounted for around 71.5% of North America’s automated people mover market, where North America holds a market share of 76.7%. As the number of air passengers is increasing at a significant rate, airport planners in the country are investing in improving the efficiency of passenger transit between and inside airline terminals, as well as airport security.
To reduce passenger traffic congestion and create a smooth passenger experience, airport planners are focusing on the implementation of cutting-edge transportation technology such as autonomous people movers. Further, the study projects that the United States market is estimated to surpass revenues worth US$ 1,042.2 million by the end.
Increasing the Establishment of Airports across Countries in Europe might Augment Sales of Automated People Movers
During the projection period, demand in countries in Europe is predicted to increase at a 26.9% CAGR. At airports, automated people movers are commonly used to connect different gates and terminals. The United Kingdom expands at a CAGR of 6.97%. Over the projected period, rising air passenger density is expected to propel sales of automated people movers.
Rising Demand for Public Transportation in China is Likely to Augment Growth
China is expected to emerge as the leading market for automated people movers in East Asia expanding at a CAGR of 6.66%. Manufacturers in China are exporting several automated people movers globally.
After the United States and Germany, China’s transportation industry is projected to be the most opportunistic market due to the increase in public transportation across the country. China’s market is estimated to surpass a valuation of US$ 305.7 million.
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Duo Rail System to Hold a Lion’s Share in the Market
Sales in the duo rail segment are projected to increase at a CAGR of 6.0% in terms of value. Duo rail takes up less area horizontally and vertically than traditional rail systems. Duo rail vehicles are broader than the beam and are frequently elevated, needing just a small footprint for support pillars. These factors are expected to fuel sales of duo rail systems in the forthcoming years.
The Adoption of Automated People Movers in Airports to Remain High
The airport segment is projected to create an absolute dollar opportunity of US$ 1,100 million holding a market share of 66%. People mover systems are used in many international airports throughout the world to convey passengers between terminals or inside a terminal.
Some of the prominent players working in the global market are-
Latest Developments in the Automated People Movers Market
Included are optimized life-cycle costs of rail infrastructure and transport, 100% system availability, maximized network capacity and optimal customer experiences and processes. These four technological areas – integrated into Siemens Xcelerator as an interoperable, open, and interconnected ecosystem – will help customers provide sustainable, comfortable, and cost-efficient rail transportation.
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 6.05% from 2023 to 2033 |
| Market value in 2023 | US$ 499.8 million |
| Market value in 2033 | US$ 899.3 million |
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | US$ million for Value and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| Customization Scope | Available on Request |
The expected value of the global automated people mover market in 2023 can be US$ 499.8 million.
Demand for automated people movers rise during the forecast period from 2023 to 2033 at a CAGR of 6.05%.
Market outlook for automated people mover in China expands at a CAGR of 6.66%.
The adoption of automated people movers in airports is considered to be leading.
The duo rail system is the most preferred automated people mover system.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyer’s 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) & Volume (Units) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) & Volume (Units) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By System Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By System Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By System Type, 2023 to 2033 5.3.1. Monorail 5.3.2. Duo Rail 5.3.3. Automated Guide Way Transit or Maglev 5.4. Y-o-Y Growth Trend Analysis By System Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By System Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Application, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Application, 2023 to 2033 6.3.1. Airport 6.3.2. Urban Transit 6.3.3. Amusements Parks 6.3.4. Shopping or Commercial Centers 6.3.5. Others 6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Region, 2018 to 2022 7.3. Current Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Western Europe 7.3.4. Eastern Europe 7.3.5. South Asia and Pacific 7.3.6. East Asia 7.3.7. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 8.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 8.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 8.2.1. By Country 8.2.1.1. USA 8.2.1.2. Canada 8.2.2. By System Type 8.2.3. By Application 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By System Type 8.3.3. By Application 8.4. Key Takeaways 9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By System Type 9.2.3. By Application 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By System Type 9.3.3. By Application 9.4. Key Takeaways 10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. UK 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Western Europe 10.2.2. By System Type 10.2.3. By Application 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By System Type 10.3.3. By Application 10.4. Key Takeaways 11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Poland 11.2.1.2. Russia 11.2.1.3. Czech Republic 11.2.1.4. Romania 11.2.1.5. Rest of Eastern Europe 11.2.2. By System Type 11.2.3. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By System Type 11.3.3. By Application 11.4. Key Takeaways 12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Bangladesh 12.2.1.3. Australia 12.2.1.4. New Zealand 12.2.1.5. Rest of South Asia and Pacific 12.2.2. By System Type 12.2.3. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By System Type 12.3.3. By Application 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By System Type 13.2.3. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By System Type 13.3.3. By Application 13.4. Key Takeaways 14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of MEA 14.2.2. By System Type 14.2.3. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By System Type 14.3.3. By Application 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. USA 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2022 15.1.2.1. By System Type 15.1.2.2. By Application 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2022 15.2.2.1. By System Type 15.2.2.2. By Application 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2022 15.3.2.1. By System Type 15.3.2.2. By Application 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2022 15.4.2.1. By System Type 15.4.2.2. By Application 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2022 15.5.2.1. By System Type 15.5.2.2. By Application 15.6. UK 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2022 15.6.2.1. By System Type 15.6.2.2. By Application 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2022 15.7.2.1. By System Type 15.7.2.2. By Application 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2022 15.8.2.1. By System Type 15.8.2.2. By Application 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2022 15.9.2.1. By System Type 15.9.2.2. By Application 15.10. Poland 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2022 15.10.2.1. By System Type 15.10.2.2. By Application 15.11. Russia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2022 15.11.2.1. By System Type 15.11.2.2. By Application 15.12. Czech Republic 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2022 15.12.2.1. By System Type 15.12.2.2. By Application 15.13. Romania 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2022 15.13.2.1. By System Type 15.13.2.2. By Application 15.14. India 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2022 15.14.2.1. By System Type 15.14.2.2. By Application 15.15. Bangladesh 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2022 15.15.2.1. By System Type 15.15.2.2. By Application 15.16. Australia 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2022 15.16.2.1. By System Type 15.16.2.2. By Application 15.17. New Zealand 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2022 15.17.2.1. By System Type 15.17.2.2. By Application 15.18. China 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2022 15.18.2.1. By System Type 15.18.2.2. By Application 15.19. Japan 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2022 15.19.2.1. By System Type 15.19.2.2. By Application 15.20. South Korea 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2022 15.20.2.1. By System Type 15.20.2.2. By Application 15.21. GCC Countries 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2022 15.21.2.1. By System Type 15.21.2.2. By Application 15.22. South Africa 15.22.1. Pricing Analysis 15.22.2. Market Share Analysis, 2022 15.22.2.1. By System Type 15.22.2.2. By Application 15.23. Israel 15.23.1. Pricing Analysis 15.23.2. Market Share Analysis, 2022 15.23.2.1. By System Type 15.23.2.2. By Application 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By System Type 16.3.3. By Application 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Siemens 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.1.5.2. Product Strategy 17.1.1.5.3. Channel Strategy 17.1.2. MITSUBISHI HEAVY INDUSTRIES, LTD. 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.2.5.2. Product Strategy 17.1.2.5.3. Channel Strategy 17.1.3. Doppelmayr Seilbahnen GmbH 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.3.5.2. Product Strategy 17.1.3.5.3. Channel Strategy 17.1.4. PT Len Industri (Persero) 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.4.5.2. Product Strategy 17.1.4.5.3. Channel Strategy 17.1.5. LEITNER AG 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.5.5.2. Product Strategy 17.1.5.5.3. Channel Strategy 17.1.6. Coester Group 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.6.5.2. Product Strategy 17.1.6.5.3. Channel Strategy 17.1.7. HYUNDAI ROTEM COMPANY 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.7.5.2. Product Strategy 17.1.7.5.3. Channel Strategy 17.1.8. IHI Corporation 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.8.5.2. Product Strategy 17.1.8.5.3. Channel Strategy 17.1.9. Alstom 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.9.5.2. Product Strategy 17.1.9.5.3. Channel Strategy 17.1.10. Bombardier 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 17.1.10.5.2. Product Strategy 17.1.10.5.3. Channel Strategy 17.1.11. Verdict Media Limited 17.1.11.1. Overview 17.1.11.2. Product Portfolio 17.1.11.3. Profitability by Market Segments 17.1.11.4. Sales Footprint 17.1.11.5. Strategy Overview 17.1.11.5.1. Marketing Strategy 17.1.11.5.2. Product Strategy 17.1.11.5.3. Channel Strategy 17.1.12. TPI Composites 17.1.12.1. Overview 17.1.12.2. Product Portfolio 17.1.12.3. Profitability by Market Segments 17.1.12.4. Sales Footprint 17.1.12.5. Strategy Overview 17.1.12.5.1. Marketing Strategy 17.1.12.5.2. Product Strategy 17.1.12.5.3. Channel Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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Automated People Mover Market
