Analytical Study Automated People Mover in Japan from 2024 to 2034
The adoption of automated people mover in Japan is set to exhibit a CAGR of 5.8% through 2034. The demand for automated people mover in Japan is poised to witness significant opportunities, reaching US$ 195.52 million in 2024. Automated people mover is becoming an integral component of transportation systems, providing seamless connectivity between various modes of transit. This trend addresses the growing need for efficient and convenient transportation solutions. By 2034, the sales of automated people mover in Japan is likely to secure a valuation of US$ 346.10 million.
Attributes
Details
Expected Value in 2024
US$ 195.52 million
Projected Value by 2034
US$ 346.10 million
CAGR Estimation from 2024 to 2034
5.8%
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Key Insights and Highlights to Understand Emerging and Fast-growing Opportunities
Japan has a history of investing in modern and efficient infrastructure. Ongoing and future infrastructure projects, including airport expansions and urban redevelopment, are expected to contribute to the demand for APM (automated people mover) systems.
Japan is generally an early adopter of new technologies. With increasing advancements in APM technology, such as improved energy efficiency, smart connectivity, and enhanced safety features, the automated people mover system may experience significant growth.
Government policies and initiatives aimed at improving transportation efficiency, reducing congestion, and promoting environmentally friendly modes of transit could have an impact on automated people mover industry in Japan.
Key Trends Influencing the Demand for Automated People Mover in Japan
A rising emphasis on sustainability has increased interest in green transportation solutions. APMs that incorporate energy-efficient designs and eco-friendly technologies align with this trend.
The growing innovations in automation, sensor technology, and artificial intelligence are influencing the design and functionality of automated people mover.
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Comparative View of Adjacent Automated People Mover Ecosystems
The table compares automated people mover sales and their respective adoption rates in Western Europe, Japan, and Korea.
Deployment of Automated People Moverin Japan:
Attributes
Deployment of Automated People Mover in Japan
CAGR from 2024to 2034
5.8%
Valuation in 2024
US$ 195.52 million
Key Trend
The growing number of airports affecting the industry demand
Key Challenge
APM systems face challenges due to rapid advancements
Uptake of Automated People Moverin Western Europe:
Attributes
Uptake of Automated People Mover in Western Europe
CAGR from 2024 to 2034
6.3%
Valuation in 2024
US$ 648.89 million
Key Trend
Growing emphasis on sustainability is influencing the design of APM systems
Key Challenge
The high installation of cost of systems
Adoption of Automated People Moverin Korea:
Attributes
Adoption of Automated People Mover in Korea
CAGR from 2024 to 2034
4.4%
Valuation in 2024
US$ 113.65 million
Key Trend
Growing focus on improving passenger experience
Key Challenge
New transport must meet strict airport security standards
City-wise Insights
Expanding Airport Projects Drives the Automated People Mover Demand in Kanto Region
Tokyo, situated in the Kanto region, is among the highly populated and densely inhabited urban areas globally. As urbanization continues and population density increases, there is a greater need for efficient and convenient transportation solutions, potentially driving the demand for automated people mover. Several important airports, including Tokyo Haneda International Airport and Narita International Airport, serve the Kanto region. Automated people mover is commonly used in airports to transport passengers between terminals and facilities. Continued airport expansion and modernization projects could contribute to the growth of automated people mover industry.
Tokyo and other cities in the Kanto region are actively involved in smart city initiatives, focusing on incorporating advanced technologies to enhance urban living. Automated people mover is likely to play a role in these initiatives by providing efficient and technology-driven transportation solutions. The Kanto region includes key business districts and commercial areas. Automated people mover can provide convenient connectivity within these districts, linking office complexes, shopping centers, and public transit hubs.
Increasing Demand for Efficient Transport Solution in Various Industry to Boost Industry Growth in Chubu
Chubu is a crucial industrial and economic hub in Japan, housing various manufacturing and technology companies. As industrial activity grows, there may be an increased demand for efficient transportation solutions within industrial complexes and business districts.
Ongoing and planned transportation infrastructure projects in the region, including airport expansions, urban development, and connectivity improvements, may drive the demand for automated people mover. The region's key airport, Chubu Centrair International Airport, could be a key focal point for APM utilization.
As urbanization and population growth occur, the need for efficient and sustainable transportation solutions within urban centers and suburban areas may increase, contributing to the demand for APM systems.
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Category-wise Insights
Duo Rail System is Set to Dominate Japan's Automated People Mover Industry
In 2024, the duo rail segment is likely to account for an industry share of 81%. 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, requiring just a small footprint for support pillars. These factors are expected to fuel sales of duo rail systems in the forthcoming years.
Attribute
Details
System
Duo Rail
Value Share in 2024
81%
The Adoption of Automated People Mover in Japan’s Airports to Remain High
In 2024, the airport segment is projected to hold an industry share of 61.5%. People mover systems are used in many international airports worldwide to convey passengers between terminals or inside a terminal. Airports often have multiple terminals, each serving different airlines or flight operations. APMs provide a quick and efficient means of connecting passengers between terminals, reducing the time and effort required for transit.
Attribute
Details
Application
Airports
Value Share in 2024
61.5%
Competitive Landscape
Acquisitions and mergers are the default expansion strategies for players operating in the automated people mover industry in Japan. Key manufacturers of automated people mover in Japan focus on facility expansions, product innovations, and promotional activities to increase sales and gain a competitive edge. Key players in the automated people mover ecosystem are also investing to enhance their manufacturing capabilities and geographical footprint, aiming to increase their industry share.
Mitsubishi Heavy Industries is a key player in the transportation sector, actively involved in the development of APM systems for various applications, including airports and urban transit.
Hitachi, Ltd. is a diversified company engaged in multiple industries, including transportation. It has been actively participating in the development of railway systems and automated people mover, contributing to the transportation infrastructure in Japan.
Kawasaki Heavy Industries, Ltd. is a well-known manufacturer in the transportation sector, producing trains, aircraft, and other vehicles. The company has experience in developing APM systems for urban and airport applications.
Scope of the Report
Attribute
Details
Estimated Industry Size in 2024
US$ 195.52 million
Projected Industry Size by 2034
US$ 346.10 million
Anticipated CAGR between 2024 to 2034
5.8% CAGR
Historical Analysis of Demand for Automated People Mover in Japan
2019 to 2023
Demand Forecast for Automated People Mover in Japan in Japan
2024 to 2034
Report Coverage
Industry Size, Industry Trends, Analysis of key factors influencing Automated People Mover in Japan, Insights on Global Players and their Industry Strategy in Japan, Ecosystem Analysis of Local Providers in Japan
Key Cities Analyzed while Studying Opportunities in Automated People Mover in Japan
Kanto
Chubu
Kinki (Kansai)
Kyushu and Okinawa
Tohoku
Rest of Japan
Key Companies Profiled
Mitsubishi Heavy Industries (MHI)
Hitachi, Ltd.
Kawasaki Heavy Industries, Ltd.
Mitsui Engineering & Shipbuilding Co., Ltd
Nippon Sharyo, Ltd
Toshiba Infrastructure Systems & Solutions Corporation
Automated People Mover in Japan 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 City:
Kanto
Chubu
Kinki (Kansai)
Kyushu and Okinawa
Tohoku
Rest of Japan
Frequently Asked Questions
The estimated valuation of the automated people mover in Japan is US$ 195.52 million in 2024.
The anticipated CAGR for the automated people mover ecosystem in Japan through 2034 is 5.8%.
Demand for automated people mover in Japan is likely to reach US$ 346.10 million by 2034.
The airport segment is likely to account for high industry share.
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. Kanto
7.3.2. Chubu
7.3.3. Kinki
7.3.4. Kyushu & Okinawa
7.3.5. Tohoku
7.3.6. Rest of Japan
7.4. Market Attractiveness Analysis By Region
8. Kanto 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. Chubu 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. Kinki 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. Kyushu & Okinawa 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. Tohoku 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. 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
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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: Kanto Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 8: Kanto Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 9: Kanto Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 10: Kanto Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 11: Chubu Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 12: Chubu Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 13: Chubu Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 14: Chubu Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 15: Kinki Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 16: Kinki Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 17: Kinki Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 18: Kinki Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 19: Kyushu & Okinawa Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 20: Kyushu & Okinawa Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 21: Kyushu & Okinawa Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 22: Kyushu & Okinawa Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 23: Tohoku Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 24: Tohoku Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 25: Tohoku Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 26: Tohoku Industry Analysis and Outlook Volume (Units) Forecast by Application, 2018 to 2033
Table 27: Rest of Industry Analysis and Outlook Value (US$ Million) Forecast by System Type, 2018 to 2033
Table 28: Rest of Industry Analysis and Outlook Volume (Units) Forecast by System Type, 2018 to 2033
Table 29: Rest of Industry Analysis and Outlook Value (US$ Million) Forecast by Application, 2018 to 2033
Table 30: 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: Kanto Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 20: Kanto Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 21: Kanto Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 22: Kanto Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 23: Kanto Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 24: Kanto Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 25: Kanto Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 26: Kanto Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 27: Kanto Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 28: Kanto Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 29: Kanto Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 30: Kanto Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 31: Chubu Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 32: Chubu Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 33: Chubu Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 34: Chubu Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 35: Chubu Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 36: Chubu Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 37: Chubu Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 38: Chubu Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 39: Chubu Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 40: Chubu Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 41: Chubu Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 42: Chubu Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 43: Kinki Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 44: Kinki Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 45: Kinki Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 46: Kinki Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 47: Kinki Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 48: Kinki Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 49: Kinki Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 50: Kinki Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 51: Kinki Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 52: Kinki Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 53: Kinki Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 54: Kinki Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 55: Kyushu & Okinawa Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 56: Kyushu & Okinawa Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 57: Kyushu & Okinawa Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 58: Kyushu & Okinawa Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 59: Kyushu & Okinawa Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 60: Kyushu & Okinawa Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 61: Kyushu & Okinawa Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 62: Kyushu & Okinawa Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 63: Kyushu & Okinawa Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 64: Kyushu & Okinawa Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 65: Kyushu & Okinawa Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 66: Kyushu & Okinawa Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 67: Tohoku Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 68: Tohoku Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 69: Tohoku Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 70: Tohoku Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 71: Tohoku Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 72: Tohoku Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 73: Tohoku Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 74: Tohoku Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 75: Tohoku Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 76: Tohoku Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 77: Tohoku Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 78: Tohoku Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
Figure 79: Rest of Industry Analysis and Outlook Value (US$ Million) by System Type, 2023 to 2033
Figure 80: Rest of Industry Analysis and Outlook Value (US$ Million) by Application, 2023 to 2033
Figure 81: Rest of Industry Analysis and Outlook Value (US$ Million) Analysis by System Type, 2018 to 2033
Figure 82: Rest of Industry Analysis and Outlook Volume (Units) Analysis by System Type, 2018 to 2033
Figure 83: Rest of Industry Analysis and Outlook Value Share (%) and BPS Analysis by System Type, 2023 to 2033
Figure 84: Rest of Industry Analysis and Outlook Y-o-Y Growth (%) Projections by System Type, 2023 to 2033
Figure 85: Rest of Industry Analysis and Outlook Value (US$ Million) Analysis by Application, 2018 to 2033
Figure 86: Rest of Industry Analysis and Outlook Volume (Units) Analysis by Application, 2018 to 2033
Figure 87: Rest of Industry Analysis and Outlook Value Share (%) and BPS Analysis by Application, 2023 to 2033
Figure 88: Rest of Industry Analysis and Outlook Y-o-Y Growth (%) Projections by Application, 2023 to 2033
Figure 89: Rest of Industry Analysis and Outlook Attractiveness by System Type, 2023 to 2033
Figure 90: Rest of Industry Analysis and Outlook Attractiveness by Application, 2023 to 2033
