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.
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Comparative View of Adjacent Automated People Mover in Key Industries
The provided table offers a comparative overview of automated people mover sales and their respective adoption rates in three key countries in: Korea, Western Europe, and Japan.
Demand for Automated People Mover in Korea:
Attributes
Demand for Automated People Mover in Korea
CAGR (2024 to 2034)
4.4%
Valuation (2024)
US$ 113.65 million
Key Trend
Integrating smart technologies, including artificial intelligence (AI) and the Internet of Things (IoT)
Key Challenge
Protecting systems from potential cyber-attacks and ensuring data privacy are ongoing challenges
Demand for Automated People Mover Western Europe:
Attributes
Demand for Automated People Mover Western Europe
CAGR (2024 to 2034)
6.3%
Valuation (2024)
US$ 648.89 million
Key Trend
A trend in APM manufacturing is the customization and modular design of systems
Key Challenge
Introducing new modes of transportation may face resistance or skepticism from the public
Demand for Automated People Mover in Japan:
Attributes
Demand for Automated People Mover in Japan
CAGR (2024 to 2034)
5.8%
Valuation (2024)
US$ 195.52 million
Key Trend
APM systems play a crucial role in connecting various modes of transportation, providing convenient and efficient last-mile connectivity
Key Challenge
Meeting regulatory standards and ensuring the safety of passengers are paramount in the APM industry.
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.
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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.
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
The estimated valuation of the automated people mover industry in Korea is US$ 113.65 million in 2024.
The anticipated CAGR for automated people mover in Korea through 2034 is 4.4%.
Demand for automated people mover in Korea is likely to reach US$ 176.29 million by 2034.
The airport is estimated to surpass the valuation of the urban transit soon.
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 Used16. Research Methodology
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List of Tables
Table 1: Industry Analysis and Outlook Value (US$ Million) Forecast by Region, 2018 to 2033
Table 2: Industry Analysis and Outlook Volume (Units) Forecast by Region, 2018 to 2033
Table 3: Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 4: Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 5: Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 6: Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 7: South Gyeongsang Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 8: South Gyeongsang Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 9: South Gyeongsang Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 10: South Gyeongsang Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 11: North Jeolla Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 12: North Jeolla Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 13: North Jeolla Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 14: North Jeolla Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 15: South Jeolla Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 16: South Jeolla Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 17: South Jeolla Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 18: South Jeolla Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 19: Jeju Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 20: Jeju Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 21: Jeju Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 22: Jeju Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 23: Rest of Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 24: Rest of Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 25: Rest of Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 26: Rest of Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
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List of Charts
Figure 1: Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 2: Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 3: Industry Analysis and Outlook Value (US$ Million) by Region, 2023 to 2033
Figure 4: Industry Analysis and Outlook Value (US$ Million) Analysis by Region, 2018 to 2033
Figure 5: Industry Analysis and Outlook Volume (Units) Analysis by Region, 2018 to 2033
Figure 6: Industry Analysis and Outlook Value Share (%) and BPS Analysis by Region, 2023 to 2033
Figure 7: Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Region, 2023 to 2033
Figure 8: Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 9: Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 10: Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 11: Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 12: Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 13: Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 14: Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 15: Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 16: Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 17: Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 18: Industry Analysis and Outlook Attractiveness by Region, 2023 to 2033
Figure 19: South Gyeongsang Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 20: South Gyeongsang Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 21: South Gyeongsang Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 22: South Gyeongsang Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 23: South Gyeongsang Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 24: South Gyeongsang Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 25: South Gyeongsang Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 26: South Gyeongsang Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 27: South Gyeongsang Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 28: South Gyeongsang Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 29: South Gyeongsang Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 30: South Gyeongsang Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 31: North Jeolla Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 32: North Jeolla Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 33: North Jeolla Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 34: North Jeolla Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 35: North Jeolla Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 36: North Jeolla Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 37: North Jeolla Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 38: North Jeolla Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 39: North Jeolla Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 40: North Jeolla Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 41: North Jeolla Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 42: North Jeolla Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 43: South Jeolla Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 44: South Jeolla Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 45: South Jeolla Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 46: South Jeolla Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 47: South Jeolla Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 48: South Jeolla Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 49: South Jeolla Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 50: South Jeolla Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 51: South Jeolla Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 52: South Jeolla Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 53: South Jeolla Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 54: South Jeolla Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 55: Jeju Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 56: Jeju Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 57: Jeju Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 58: Jeju Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 59: Jeju Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 60: Jeju Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 61: Jeju Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 62: Jeju Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 63: Jeju Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 64: Jeju Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 65: Jeju Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 66: Jeju Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 67: Rest of Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 68: Rest of Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 69: Rest of Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 70: Rest of Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 71: Rest of Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 72: Rest of Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 73: Rest of Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 74: Rest of Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 75: Rest of Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 76: Rest of Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 77: Rest of Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 78: Rest of Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
