Automated People Mover Industry Analysis in Western Europe
Demand Forecast for Automated People Mover in Western Europe, by Monorail and Duo Rail System Type, 2024 to 2034
Western Europe's Automated People Mover Industry Gains Sustainable Momentum, Paving the Way for Eco-friendly Urban Mobility Solutions and Creating Exciting Opportunities for Manufacturers
Analytical Study of Automated People Mover in Western Europe from 2024 to 2034
The demand for automated people mover is expected to soar across Western Europe, especially in the countries of Germany and France. By the end of FY 2024, the sales of automated people mover are poised to reach a valuation of US$ 648.89 million. The demand for automated people mover in Western Europe is likely to develop at a 6.3% CAGR from 2024 to 2034, with the industry valuation projected to attain US$ 1,201.45 million by 2034.
In the Western Europe automated people mover industry, innovation steers the course. Urbanization trends and the pursuit of sustainable transit solutions propel demand for automated people mover systems. Integrating smart technologies like IoT and AI enhances operational efficiency and passenger experience.
As cities prioritize eco-friendly mobility, automated people mover emerges as pivotal solutions, offering seamless, automated transportation. Collaborations between technology providers and urban planners further fuel advancements, aligning automated people mover with the evolving needs of modern, connected societies in Western Europe. This convergence of technology and sustainable urban living defines the driving forces behind its burgeoning automated people mover industry.
Attributes
Details
Anticipated Industry Size in 2024
US$ 648.89 million
Expected Industry Size by 2034
US$ 1,201.45 million
Forecasted CAGR between 2024 to 2034
6.3%
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Key Insights on Factors Boosting the Sales of Automated People Mover in Western Europe
Growing demand for eco-friendly transit solutions fuels the adoption of automated people mover in Western Europe.
IoT and AI advancements enhance automated people mover systems, attracting tech savvy cities and boosting sales.
Automated people mover addresses the need for efficient, automated transportation catering to the evolving urban landscape in Western Europe.
Collaborations between technology providers and urban planners drive continuous innovation, positively influencing automated people mover sales.
Focus on improving passenger comfort and experience boosts the appeal and adoption of automated people mover in Western Europe.
Key Trends Influencing the Demand for Automated People Mover in Western Europe
Automated people mover aligns with Western Europe's urban planning strategies, becoming integral to city development initiatives.
Trends favor scalable and modular automated people mover systems, allowing flexibility in adapting to diverse urban infrastructures and needs.
A growing emphasis on solving last-mile connectivity challenges fuels demand for automated people mover in Western Europe's urban centers.
A trend toward adaptive infrastructure planning ensures automated people mover seamlessly integrate with evolving urban landscapes, enhancing overall transit efficiency.
The reliance on data-driven insights for transit planning and optimization influences the adoption of automated people mover in Western Europe.
Automated People Mover Ecosystem in Western Europe:
Attributes
Details
Forecast CAGR between 2024 to 2034
6.3%
Industry Size by 2034
US$ 1,201.45 million
Key trends
Leveraging artificial intelligence for predictive maintenance optimizes automated people mover performance, ensuring uninterrupted and efficient transit services
Key challenges
Integrating automated people mover with existing urban infrastructure poses a significant challenge in Western Europe
Japan Automated People Mover Industry:
Attributes
Details
Forecast CAGR between 2024 to 2034
5.8%
Industry Size by 2034
US$ 346.10 million
Key trends
In a pioneering move, Japan automated people mover industry embraces augmented reality for enhanced passenger experiences and navigation.
Key challenges
Overcoming challenges related to urban congestion poses a key obstacle for Japan automated people mover industry.
Automated People Mover Ecosystem in Korea:
Attributes
Details
Forecast CAGR between 2024 to 2034
4.4%
Industry Size by 2034
US$ 176.29 million
Key trends
Korea automated people mover ecosystem advantages advanced 5G connectivity, revolutionizing real time communication and transit efficiency.
Key challenges
Korea faces challenges in ensuring seamless integration of automated people mover with existing urban infrastructure systems.
Category-wise insights
Duo Rail's Supremacy Shapes the Future of Urban Mobility in Western Europe
Duo rail is the dominant force, projected to claim an impressive 81.5% industry share in the Western Europe automated people mover industry in 2024. The duo rail system excels in urban transit scenarios and is renowned for its unparalleled precision and efficiency.
System Type
Duo Rail
Industry Share in 2024
81.5%
Its dual-track design ensures enhanced stability, reliability, and streamlined operations. Embracing cutting-edge technology and modular adaptability, duo rail provides a versatile solution for varying infrastructural needs, solidifying its supremacy.
As Western Europe seeks advanced transit solutions, the exceptional performance of duo rail cements its status as the system of choice, shaping the future of urban mobility.
Automated People Mover is Set to Rule Airports across Western Europe
With a projected formidable 62.6% industry share in 2024, the airport application segment emerges as the powerhouse in the Western Europe automated people mover industry. Tailored to optimize passenger flow, reduce transit times, and enhance the overall airport experience, these systems are pivotal in large-scale terminals.
Application
Airports
Industry Share in 2024
62.6%
With a focus on efficiency and passenger comfort, automated people mover elevates the air travel journey, positioning airports as the primary adopters. As the Western Europe aviation sector thrives, the dominance of automated people mover within airport infrastructures continues to reshape the landscape of seamless tech-driven travel experiences.
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Country-wise Insights
Regions Profiled
CAGR from 2024 to 2034
France
7.9%
Germany
7.5%
Automated People Mover Seamlessly Integrates into France's Cityscapes
France's automated people mover industry rides a wave of evolution with a robust 7.9% CAGR through 2034, unveiling transformative trends. A surge in urban mobility projects witnesses’ automated people mover seamlessly integrated into France's cityscapes, connecting communities and reducing congestion.
The evolution of smart stations emerges, leveraging advanced technologies to optimize passenger experiences, from intelligent ticketing to real-time information dissemination. Its commitment to sustainability manifests in eco-friendly automated people mover, aligning with its green initiatives and promoting environmentally conscious transit solutions.
The rise of intermodal transit hubs signifies a trend where automated people mover seamlessly connects with various modes of transportation, fostering efficient and interconnected transit networks. A digital revolution unfolds, leveraging data analytics and IoT to enhance operational efficiency, predictive maintenance, and overall service quality, marking a new era in France's automated people mover landscape.
Automated People Mover is Transforming Germany's Iconic Attractions
The Germany automated people mover industry, projecting a 7.5% CAGR through 2034, unveils a landscape ripe with opportunities. Germany's bustling airports present a significant opportunity for automated people mover, especially as airports expand to accommodate growing passenger traffic.
Integration into smart city projects marks a strategic opportunity, with automated people mover becoming integral components of its urban infrastructure. Developing interconnected transportation hubs provides fertile ground for automated people mover, enhancing seamless connectivity within its transit networks.
Opportunities arise to enhance tourist experiences as automated people mover offer efficient and novel ways to explore Germany's iconic attractions, fostering tourism-driven opportunities. With Germany's commitment to technological innovation, there is an opportunity for investment in research and development, pushing the boundaries of automated people mover capabilities and efficiency.
Competitive Landscape
A dynamic competitive landscape unfolds in the Western Europe automated people mover industry. Industry leaders like Siemens spearhead innovation, offering advanced and customizable solutions. Local players, such as Poma and Doppelmayr, contribute region-specific expertise. Collaboration and strategic partnerships thrive, with companies like Hitachi joining forces for seamless integration. As urbanization and transit needs evolve, key players continually invest in research, development, and sustainable practices, ensuring a competitive edge. This amalgamation of global giants and niche specialists shapes a landscape where innovation, efficiency, and adaptability are the cornerstones of success.
Product Portfolio:
Siemens AG pioneers automated people mover, offering cutting-edge solutions for efficiency and sustainability. From urban transit to airport connectivity, Siemens delivers smart, integrated mobility.
Bombardier Transportation is a global leader specializing in automated people mover systems. Their portfolio boasts advanced technologies, ensuring seamless, efficient, and comfortable transit experiences in urban and airport environments.
A French innovator, Poma presents a diverse product portfolio in automated people mover. Poma creates efficient and sustainable mobility experiences worldwide, from urban transit solutions to scenic transport.
Some of the Important Players Dealing with Automated People Mover in Western Europe
Siemens AG
Bombardier Transportation
Poma
Thales Group
Alstom SA
Ansaldo STS
Scope of the Report
Attribute
Details
Estimated Industry Size in 2024
US$ 648.89 million
Projected Industry Size by 2034
US$ 1,201.45 million
Attributed CAGR between 2024 and 2034
6.3%
Historical Analysis of Demand for Automated People Mover in Western Europe Countries
2019 to 2023
Forecast Period
2024 to 2034
Report Coverage
Industry size, industry trends, analysis of key factors influencing Automated People Mover in Western Europe insights on global players and their industry strategy in Western Europe ecosystem analysis of local and regional Western Europe providers.
Key Countries Analyzed while Studying Opportunities for Automated People Mover in Western Europe
Germany
Italy
France
Spain
United Kingdom
BENELUX
Rest of Western Europe
Key Companies Profiled in the Industry Analysis of Automated People Mover in Western Europe
Siemens AG
Bombardier Transportation
Poma
Thales Group
Alstom SA
Ansaldo STS
Key Segments
By System Type:
Monorail
Duo Rail
Automated Guide Way Transit or Maglev
By Application:
Airport
Urban Transit
Amusements Parks
Shopping or Commercial Centers
Others
By Country:
Germany
Italy
France
Spain
United Kingdom
BENELUX
Rest of Western Europe
Frequently Asked Questions
How Huge will be the Demand for Automated People Mover in Western Europe in 2024?
The sales of automated people mover in Western Europe are poised to reach US$ 648.89 million by 2024.
By 2034, What will be the Overall Value Share of Automated People Mover in Western Europe?
By 2034, the total value of the automated people mover ecosystem in Western Europe is likely to reach US$ 1,201.45 million.
What is the Anticipated Growth Rate of the Western Europe Automated People Mover Industry?
From 2024 to 2034, the Western Europe automated people mover industry is likely to register a 6.3% CAGR.
Which System Type of Automated People Mover is likely to Dominate in Western Europe?
The duo rail segment is likely to dominate the industry in Western Europe.
Table of Content
1. Executive Summary
1.1. 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. Industry Analysis and Outlook 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. Industry Analysis and Outlook 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. Industry Analysis and Outlook 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 Centres
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. Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Country
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Country, 2018 to 2022
7.3. Current Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Country, 2023 to 2033
7.3.1. UK
7.3.2. Germany
7.3.3. Italy
7.3.4. France
7.3.5. Spain
7.3.6. Rest of Western Europe
7.4. Market Attractiveness Analysis By Country
8. UK Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
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 Region
8.2.1.1. England
8.2.1.2. Scotland
8.2.1.3. Wales
8.2.1.4. Northern Ireland
8.2.2. By System Type
8.2.3. By Application
8.3. Market Attractiveness Analysis
8.3.1. By Region
8.3.2. By System Type
8.3.3. By Application
8.4. Key Takeaways
9. Germany Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
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 Region
9.2.1.1. North-east (Germany)
9.2.1.2. North-west (Germany)
9.2.1.3. Central (Germany)
9.2.1.4. South (Germany)
9.2.1.5. Other(Germany)
9.2.2. By System Type
9.2.3. By Application
9.3. Market Attractiveness Analysis
9.3.1. By Region
9.3.2. By System Type
9.3.3. By Application
9.4. Key Takeaways
10. Italy Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
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 Region
10.2.1.1. North (Italy)
10.2.1.2. Central (Italy)
10.2.1.3. South (Italy)
10.2.1.4. Islands (Italy)
10.2.2. By System Type
10.2.3. By Application
10.3. Market Attractiveness Analysis
10.3.1. By Region
10.3.2. By System Type
10.3.3. By Application
10.4. Key Takeaways
11. France Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
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 Region
11.2.1.1. Northern (France)
11.2.1.2. Central (France)
11.2.1.3. Southern (France)
11.2.1.4. Eastern (France)
11.2.2. By System Type
11.2.3. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Region
11.3.2. By System Type
11.3.3. By Application
11.4. Key Takeaways
12. Spain Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
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 Region
12.2.1.1. Basque Country
12.2.1.2. Andalusia
12.2.1.3. Extremadura
12.2.1.4. Catalonia
12.2.1.5. Valencia
12.2.1.6. Rest of Spain
12.2.2. By System Type
12.2.3. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Region
12.3.2. By System Type
12.3.3. By Application
12.4. Key Takeaways
13. Rest of Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
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 System Type
13.2.2. By Application
13.3. Market Attractiveness Analysis
13.3.1. By System Type
13.3.2. By Application
13.4. Key Takeaways
14. Market Structure Analysis
14.1. Competition Dashboard
14.2. Competition Benchmarking
14.3. Market Share Analysis of Top Players
14.3.1. By Regional
14.3.2. By System Type
14.3.3. By Application
15. Competition Analysis
15.1. Competition Deep Dive
15.1.1. Siemens
15.1.1.1. Overview
15.1.1.2. Product Portfolio
15.1.1.3. Profitability by Market Segments
15.1.1.4. Sales Footprint
15.1.1.5. Strategy Overview
15.1.1.5.1. Marketing Strategy
15.1.1.5.2. Product Strategy
15.1.1.5.3. Channel Strategy
15.1.2. MITSUBISHI HEAVY INDUSTRIES, LTD.
15.1.2.1. Overview
15.1.2.2. Product Portfolio
15.1.2.3. Profitability by Market Segments
15.1.2.4. Sales Footprint
15.1.2.5. Strategy Overview
15.1.2.5.1. Marketing Strategy
15.1.2.5.2. Product Strategy
15.1.2.5.3. Channel Strategy
15.1.3. Doppelmayr Seilbahnen GmbH
15.1.3.1. Overview
15.1.3.2. Product Portfolio
15.1.3.3. Profitability by Market Segments
15.1.3.4. Sales Footprint
15.1.3.5. Strategy Overview
15.1.3.5.1. Marketing Strategy
15.1.3.5.2. Product Strategy
15.1.3.5.3. Channel Strategy
15.1.4. PT Len Industri (Persero)
15.1.4.1. Overview
15.1.4.2. Product Portfolio
15.1.4.3. Profitability by Market Segments
15.1.4.4. Sales Footprint
15.1.4.5. Strategy Overview
15.1.4.5.1. Marketing Strategy
15.1.4.5.2. Product Strategy
15.1.4.5.3. Channel Strategy
15.1.5. LEITNER AG
15.1.5.1. Overview
15.1.5.2. Product Portfolio
15.1.5.3. Profitability by Market Segments
15.1.5.4. Sales Footprint
15.1.5.5. Strategy Overview
15.1.5.5.1. Marketing Strategy
15.1.5.5.2. Product Strategy
15.1.5.5.3. Channel Strategy
15.1.6. Coester Group
15.1.6.1. Overview
15.1.6.2. Product Portfolio
15.1.6.3. Profitability by Market Segments
15.1.6.4. Sales Footprint
15.1.6.5. Strategy Overview
15.1.6.5.1. Marketing Strategy
15.1.6.5.2. Product Strategy
15.1.6.5.3. Channel Strategy
15.1.7. HYUNDAI ROTEM COMPANY
15.1.7.1. Overview
15.1.7.2. Product Portfolio
15.1.7.3. Profitability by Market Segments
15.1.7.4. Sales Footprint
15.1.7.5. Strategy Overview
15.1.7.5.1. Marketing Strategy
15.1.7.5.2. Product Strategy
15.1.7.5.3. Channel Strategy
15.1.8. IHI Corporation
15.1.8.1. Overview
15.1.8.2. Product Portfolio
15.1.8.3. Profitability by Market Segments
15.1.8.4. Sales Footprint
15.1.8.5. Strategy Overview
15.1.8.5.1. Marketing Strategy
15.1.8.5.2. Product Strategy
15.1.8.5.3. Channel Strategy
15.1.9. Alstom
15.1.9.1. Overview
15.1.9.2. Product Portfolio
15.1.9.3. Profitability by Market Segments
15.1.9.4. Sales Footprint
15.1.9.5. Strategy Overview
15.1.9.5.1. Marketing Strategy
15.1.9.5.2. Product Strategy
15.1.9.5.3. Channel Strategy
15.1.10. Bombardier
15.1.10.1. Overview
15.1.10.2. Product Portfolio
15.1.10.3. Profitability by Market Segments
15.1.10.4. Sales Footprint
15.1.10.5. Strategy Overview
15.1.10.5.1. Marketing Strategy
15.1.10.5.2. Product Strategy
15.1.10.5.3. Channel Strategy
16. Assumptions & Acronyms Used17. Research Methodology
