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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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.

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%

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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

How Big is the Automated People Mover Ecosystem in Japan?

The estimated valuation of the automated people mover in Japan is US$ 195.52 million in 2024.

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

The anticipated CAGR for the automated people mover ecosystem in Japan through 2034 is 5.8%.

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

Demand for automated people mover in Japan is likely to reach US$ 346.10 million by 2034.

Which Application Segment Drives the Adoption of Automated People Mover in Japan?

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 Used

17. Research Methodology

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