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 |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
| 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
