Studying the Potential of Automated People Mover in Korea from 2024 to 2034

The automated people mover industry in Korea is set for significant growth until 2034, with an anticipated CAGR of 4.4% specifically in the South Gyeongsang and North Jeolla regions.The demand for automated people mover in Korea has evolved into a mainstream industry, and this trajectory is set to drive the sector to an estimated valuation of approximately US$ 113.65 million in 2024. With a promising outlook and consumers' growing reliance on online shopping platforms, the projected demand for automated people mover in Korea is expected to reach an impressive US$ 176.29 million by 2034.

Attributes Details
Industry Size (2024) US$ 113.65 million
Forecasted Industry Size (2034) US$ 176.29 million
CAGR Estimation (2024 to 2034) 4.4%

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Key Insights and Highlights to Understand Emerging and Fast-growing Opportunities

  • The increasing applications of automated people mover (APM) at airports, urban transit networks, amusement parks, and commercial centers contribute to industry expansion. Their versatility and adaptability to different environments make them a preferred choice for various sectors in Korea.
  • Automated people mover fulfills this need by offering accessibility, maximum passenger capacity, and reduced headways, making them an integral part of addressing urban transportation challenges.
  • With the transformation of urban transit networks, there is a growing need for quick and comfortable transportation solutions. Automated people mover fulfills these needs by offering accessibility, maximum passenger capacity, and reduced headways, making them integral to addressing urban transportation challenges.

Key Trends Influencing the Demand for Automated People Mover in Korea

  • The increasing preference for automated people mover in Korea can be attributed to their ability to incur fewer maintenance costs than conventional transit systems. With a design focused on reliability and efficiency, automated people mover incurs lower maintenance expenses, contributing to their growing popularity.
  • There is a rising demand for fast, reliable, and cost-effective transportation solutions in Korea, driving the adoption of automated people mover in Korea. These systems offer efficient design solutions and lower lifecycle costs, making them attractive alternatives for urban transit needs.
  • As urbanization continues in Korea, the demand for efficient transportation systems becomes imperative. Automated people mover is well-suited for urban environments, providing quick and dependable transit solutions. The industry is expected to grow significantly as cities evolve and require innovative transportation options.
Nikhil Kaitwade
Nikhil Kaitwade

Principal Consultant

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Country-wise Insights

Korea’s Provinces Embrace Cutting-edge APM Transport for Growing Air Passenger Numbers

South Gyeongsang is experiencing a substantial increase in air passenger numbers, prompting airport planners to prioritize enhancing passenger transit efficiency within and between airline terminals and bolstering airport security measures. To alleviate congestion and streamline the passenger experience, cutting-edge transportation technologies, particularly autonomous people movers, are being implemented.

Manufacturers in North Jeolla are actively exporting these advanced transportation solutions globally. The growth of the North Jeolla transportation industry, fueled by the nationwide expansion of public transportation networks, positions it as a highly opportunistic industry for automated people mover.

Category-wise insights

The table below highlights that duo rail and airports segments are likely to lead the system and application category in 2024.

Category Industrial Share in 2024
Duo Rail 80.3%
Airports 63.4%

The Duo Rail Segment Holds a Dominant Position in the Industry

The duo rail segment is poised for significant growth, with a projected industrial share of 80.3%. Offering advantages in horizontal and vertical space utilization compared to traditional rail systems, duo rail systems feature broader vehicles elevated on slender support pillars, requiring minimal space. These attributes are expected to drive increased sales of duo rail systems in the coming years.

The Adoption of Automated People Mover in Airports to Remain High

Within the airport segment is a substantial absolute dollar opportunity, commanding an industry share of 63.4%. Automated people mover system, integral to airport infrastructure, are crucial for efficiently transporting passengers between terminals, contributing to this segment's industrial share.

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Competitive Landscape

The competitive landscape for automated people mover in Korea is characterized by a strategic focus on innovation and efficiency. Key players employ expansion strategies, investing in research and development to enhance APM technologies. Emphasis is placed on developing eco-friendly and energy-efficient solutions to support sustainability goals. Additionally, collaborations with urban development projects and airport expansions are pursued to capture industry share. The industry prioritizes customer-centric approaches, modifying APM systems to meet diverse urban transit needs.

Recent Developments Observed in Automated People Mover in Korea

  • Siemens AG is a global conglomerate that operates in various sectors, including transportation. They are known for providing solutions in the field of automated people mover and transportation systems.
  • Bombardier Transportation is a multinational company with aerospace and rail transportation expertise. They have been involved in the development of people-mover systems.

Some of the Key Players Offering Automated People Mover in Korea

  • Siemens AG
  • Bombardier Transportation
  • Mitsubishi Heavy Industries, Ltd. (MHI)
  • Hitachi, Ltd.
  • Thyssenkrupp
  • Doppelmayr Group

Report Scope

Attribute Details
Estimated Industry Size in 2024 US$ 113.65 million
Projected Industry Size by 2034 US$ 176.29 million
Anticipated CAGR between 2024 to 2034 4.4% CAGR
Demand Forecast for Automated People Mover in Korea 2024 to 2034
Report Coverage Industry Size, Industry Trends, Analysis of key factors influencing the Automated People Mover Industry in Korea, Insights on Global Players and their Industry Strategy in Korea, Ecosystem Analysis of Local and Regional Korea Providers
Key Provinces Analyzed while Studying Growth Opportunities for Automated People Mover in Korea
  • South Gyeongsang
  • North Jeolla
  • South Jeolla
  • Jeju
Key Companies Profiled in the Analysis of Automated People Mover in Korea
  • Siemens AG
  • Bombardier Transportation
  • Mitsubishi Heavy Industries, Ltd. (MHI)
  • Hitachi, Ltd.
  • Thyssenkrupp
  • Doppelmayr Group

Key Segments Covered in the Korea Automated People Mover Industry Analysis

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 Province:

  • South Gyeongsang
  • North Jeolla
  • South Jeolla
  • Jeju

Frequently Asked Questions

How Big is the Automated People Mover Industry in Korea?

The estimated valuation of the automated people mover industry in Korea is US$ 113.65 million in 2024.

At What Rate is the Automated People Mover Ecosystem Growing in Korea?

The anticipated CAGR for automated people mover in Korea through 2034 is 4.4%.

How Big will the Automated People Mover Industry be in Korea?

Demand for automated people mover in Korea is likely to reach US$ 176.29 million by 2034.

Which is the Preferred Application of Automated People Mover in Korea?

The airport is estimated to surpass the valuation of the urban transit soon.

Which System Size Contributes Significantly?

Duo rail is projected to remain a key contributor in Korea.

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
    3.10. 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 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. South Gyeongsang
        7.3.2. North Jeolla
        7.3.3. South Jeolla
        7.3.4. Jeju
        7.3.5. Rest of Korea
    7.4. Market Attractiveness Analysis By Region
8. South Gyeongsang Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
    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 System Type
        8.2.2. By Application
    8.3. Market Attractiveness Analysis
        8.3.1. By System Type
        8.3.2. By Application
    8.4. Key Takeaways
9. North Jeolla Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
    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 System Type
        9.2.2. By Application
    9.3. Market Attractiveness Analysis
        9.3.1. By System Type
        9.3.2. By Application
    9.4. Key Takeaways
10. South Jeolla Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
    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 System Type
        10.2.2. By Application
    10.3. Market Attractiveness Analysis
        10.3.1. By System Type
        10.3.2. By Application
    10.4. Key Takeaways
11. Jeju Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
    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 System Type
        11.2.2. By Application
    11.3. Market Attractiveness Analysis
        11.3.1. By System Type
        11.3.2. By Application
    11.4. Key Takeaways
12. Rest of Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
    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 System Type
        12.2.2. By Application
    12.3. Market Attractiveness Analysis
        12.3.1. By System Type
        12.3.2. By Application
    12.4. Key Takeaways
13. Market Structure Analysis
    13.1. Competition Dashboard
    13.2. Competition Benchmarking
    13.3. Market Share Analysis of Top Players
        13.3.1. By Regional
        13.3.2. By System Type
        13.3.3. By Application
14. Competition Analysis
    14.1. Competition Deep Dive
        14.1.1. Siemens
            14.1.1.1. Overview
            14.1.1.2. Product Portfolio
            14.1.1.3. Profitability by Market Segments
            14.1.1.4. Sales Footprint
            14.1.1.5. Strategy Overview
                14.1.1.5.1. Marketing Strategy
                14.1.1.5.2. Product Strategy
                14.1.1.5.3. Channel Strategy
        14.1.2. MITSUBISHI HEAVY INDUSTRIES, LTD.
            14.1.2.1. Overview
            14.1.2.2. Product Portfolio
            14.1.2.3. Profitability by Market Segments
            14.1.2.4. Sales Footprint
            14.1.2.5. Strategy Overview
                14.1.2.5.1. Marketing Strategy
                14.1.2.5.2. Product Strategy
                14.1.2.5.3. Channel Strategy
        14.1.3. Doppelmayr Seilbahnen GmbH
            14.1.3.1. Overview
            14.1.3.2. Product Portfolio
            14.1.3.3. Profitability by Market Segments
            14.1.3.4. Sales Footprint
            14.1.3.5. Strategy Overview
                14.1.3.5.1. Marketing Strategy
                14.1.3.5.2. Product Strategy
                14.1.3.5.3. Channel Strategy
        14.1.4. PT Len Industri (Persero)
            14.1.4.1. Overview
            14.1.4.2. Product Portfolio
            14.1.4.3. Profitability by Market Segments
            14.1.4.4. Sales Footprint
            14.1.4.5. Strategy Overview
                14.1.4.5.1. Marketing Strategy
                14.1.4.5.2. Product Strategy
                14.1.4.5.3. Channel Strategy
        14.1.5. LEITNER AG
            14.1.5.1. Overview
            14.1.5.2. Product Portfolio
            14.1.5.3. Profitability by Market Segments
            14.1.5.4. Sales Footprint
            14.1.5.5. Strategy Overview
                14.1.5.5.1. Marketing Strategy
                14.1.5.5.2. Product Strategy
                14.1.5.5.3. Channel Strategy
        14.1.6. Coester Group
            14.1.6.1. Overview
            14.1.6.2. Product Portfolio
            14.1.6.3. Profitability by Market Segments
            14.1.6.4. Sales Footprint
            14.1.6.5. Strategy Overview
                14.1.6.5.1. Marketing Strategy
                14.1.6.5.2. Product Strategy
                14.1.6.5.3. Channel Strategy
        14.1.7. HYUNDAI ROTEM COMPANY
            14.1.7.1. Overview
            14.1.7.2. Product Portfolio
            14.1.7.3. Profitability by Market Segments
            14.1.7.4. Sales Footprint
            14.1.7.5. Strategy Overview
                14.1.7.5.1. Marketing Strategy
                14.1.7.5.2. Product Strategy
                14.1.7.5.3. Channel Strategy
        14.1.8. IHI Corporation
            14.1.8.1. Overview
            14.1.8.2. Product Portfolio
            14.1.8.3. Profitability by Market Segments
            14.1.8.4. Sales Footprint
            14.1.8.5. Strategy Overview
                14.1.8.5.1. Marketing Strategy
                14.1.8.5.2. Product Strategy
                14.1.8.5.3. Channel Strategy
        14.1.9. Alstom
            14.1.9.1. Overview
            14.1.9.2. Product Portfolio
            14.1.9.3. Profitability by Market Segments
            14.1.9.4. Sales Footprint
            14.1.9.5. Strategy Overview
                14.1.9.5.1. Marketing Strategy
                14.1.9.5.2. Product Strategy
                14.1.9.5.3. Channel Strategy
        14.1.10. Bombardier
            14.1.10.1. Overview
            14.1.10.2. Product Portfolio
            14.1.10.3. Profitability by Market Segments
            14.1.10.4. Sales Footprint
            14.1.10.5. Strategy Overview
                14.1.10.5.1. Marketing Strategy
                14.1.10.5.2. Product Strategy
                14.1.10.5.3. Channel Strategy
15. Assumptions & Acronyms Used
16. Research Methodology
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