Demand for data center power management in Japan is expected to expand at a CAGR of 9.2% through 2034. A valuation of US$ 955.4 million is anticipated for the data center power management industry in Japan in 2024. It is estimated to generate US$ 2,298.3 million in revenue from data center power systems by 2034.
Data center power management strategies can be influenced by compliance with these regulations. The cooling efficiency of data centers plays a crucial role in their operation. Power management and advanced cooling technologies can significantly reduce energy consumption. The growing need for cybersecurity measures drives the interconnected nature of data center power management systems and their dependence on digital controls.
Key Insights of Factors Boosting Sales of Data Center Power Management in Japan
| Attributes | Details |
|---|---|
| Industry Size of Japan in 2024 | US$ 955.4 million |
| Expected Industry Size of Japan by 2034 | US$ 2,298.3 million |
| Forecasted CAGR between 2024 to 2034 | 9.2% |
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Data centers are gaining popularity, leading to increased demand for data center power management solutions in Kanto. The need for efficient power management grows with the prevalence of cloud computing, online services, and data-intensive applications. Data centers in various cities, including Kanto, are subject to frequent regulation and subsidies aimed at enhancing energy efficiency.
Compliance with government regulations can facilitate the adoption of energy-saving power management solutions. Implementing power management solutions that optimize power usage and reduce carbon emissions can help data center operators minimize their carbon footprint and address environmental concerns. Recent advancements in power management technology, such as smart monitoring systems and AI-driven optimization, are making it increasingly attractive to data center operators.
As part of the government's efforts to stimulate economic growth and create jobs, Tohoku has actively promoted the development of data centers. Support for data center power management solutions has further enhanced these initiatives. Smart cities and IoT technologies are being developed in Tohoku, driving demand for data center power management systems. This initiative heavily relies on data collection, processing, and archiving due to the increased data flow.
With the advent of 5G networks and improved internet connectivity, streaming video, IoT apps, and cloud computing have become increasingly popular. Rapid construction of data centers has resulted in a need for effective power management techniques. Businesses in Tohoku are concerned about data security and regulatory compliance. In addition to ensuring data availability and protecting sensitive information, power management solutions also help comply with regulatory requirements.
Data centers in Chubu have significantly increased in size and number due to the digital economy, cloud computing, and the Internet of Things (IoT). Power management solutions are essential for ensuring the reliable operation of these data centers.
While the power infrastructure in Chubu is relatively robust, grid reliability remains an issue. Data centers can stay operational during grid fluctuations with power management solutions, reducing load and implementing demand response. The growing number of smartphone and tablet users is projected to boost demand during the forecast period.
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Data centers that are modular have grown in popularity and attention for their efficiency and flexibility. Data centers that need to upgrade or expand their infrastructure can benefit from their scalable and adaptable solution.
According to projections, modular data centers are expected to hold a 24.80% revenue share in 2024. Admins can monitor and manage modular data centers remotely to save energy. Real-time cooling adjustments ensure optimal power management and maximum performance.
Unlike traditional data centers, modular data centers can be scaled as needed. As businesses can start with a smaller module and expand gradually, this scalability helps reduce power use and initial load. Energy-efficient technologies are commonly used in data centers built with modular technology and designs.
Using efficient cooling systems, improved power distribution methods, and optimized servers can help reduce power consumption and improve energy efficiency. For organizations that are trying to reduce their energy bills and carbon footprint, this is crucial.
| Japan Data Center Power Management Based on Data Center Type | Modular Data Centers |
|---|---|
| Industry Share in % in 2024 | 24.80% |
Data centers with Tier-4 status are designed to guarantee the highest levels of availability and redundancy to minimize downtime caused by failures in power and cooling systems. A share of 35.50% is expected to be achieved in 2024.
To ensure that power is always available, Tier-4 data centers are equipped with redundant power sources, which include backup generators and uninterrupted power supplies (UPS). The monitoring and control of these redundant systems require advanced power management solutions.
In Tier-4 facilities, power management and load balancing are handled by sophisticated tools that monitor power consumption and infrastructure health in real-time. Maintaining high availability requires this data. To reduce operational costs and environmental impact, Tier-4 data centers also strive to be energy efficient. Reducing waste and optimizing energy use are key benefits of power management solutions.
| Japan Data Center Power Management Based on Data Center Tier | Tier-4 Data Centers |
|---|---|
| Industry Share in % in 2024 | 35.50% |
Several large and medium-sized players operate in the data center power management industry. Leading players use several strategies to expand their customer base, including collaborations, mergers and acquisitions, and partnerships. Government initiatives and the construction of private data centers are creating growth opportunities for new entrants in various cities.
Recent Developments Observed in Japan Data Center Power Management Business
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| Attributes | Details |
|---|---|
| Estimated Industry Size in 2024 | US$ 955.4 million |
| Projected Industry Valuation by 2034 | US$ 2,298.3 million |
| Value-based CAGR 2024 to 2034 | 9.2% |
| Historical Analysis of the Data Center Power Management in Japan | 2019 to 2023 |
| Demand Forecast for Data Center Power Management in Japan | 2024 to 2034 |
| Report Coverage | Industry Size, Industry Trends, Analysis of Key Factors Influencing Data Center Power Management in Japan, Insights on Global Players and their Industry Strategy in Japan, Ecosystem Analysis of Local and Regional Japan Providers |
| Key Cities Analyzed While Studying Opportunities in Data Center Power Management in Japan | Kanto, Chubu, Kinki, Kyushu & Okinawa, Tohoku, Rest of Japan |
| Key Companies Profiled | Mitsubishi Electric Corporation; NEC Corporation; Schneider Electric; Fuji Electric Co., Ltd.; Toshiba Corporation; Delta Electronics; NTT Facilities, Inc; ABB Ltd; Cyber Power Systems (Japan) K.K.; Eaton Corporation |
In 2024, revenues from data center power management in Japan are expected to reach US$ 955.4 million.
The Japan data center power management industry is expected to reach US$ 2,298.3 million by 2034.
A CAGR of 9.2% is expected between 2024 and 2034 for data center power management in Japan.
Modular data centers is likely to drive demand for data center power management in Japan.
1. Executive Summary
1.1. Japan 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. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.7. Regional Parent Market Outlook
4. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Hardware
5.3.1.1. Power Distribution Units (PDUs)
5.3.1.2. Power Generators
5.3.1.3. Uninterruptible Power Supply (UPS) Systems
5.3.1.3.1. Modular UPS
5.3.1.3.2. Conventional UPS
5.3.1.4. Others
5.3.2. DCIM (Data Center Infrastructure Management) Software
5.3.3. Services
5.3.3.1. Consulting Services
5.3.3.2. System Integration & Implementation Services
5.3.3.3. Maintenance and Support Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Data Center Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Data Center Type, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Data Center Type, 2023 to 2033
6.3.1. Modular Data Centers
6.3.2. Colocation Data Centers
6.3.3. Cloud Data Centers
6.3.4. Edge Data Centers
6.3.5. Hyperscale Data Centers
6.3.6. Micro Mobile Data Center
6.4. Y-o-Y Growth Trend Analysis By Data Center Type, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Data Center Type, 2023 to 2033
7. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Data Center Tier
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Data Center Tier, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Data Center Tier, 2023 to 2033
7.3.1. Tier-1 Data Centers
7.3.2. Tier-2 Data Centers
7.3.3. Tier-3 Data Centers
7.3.4. Tier-4 Data Centers
7.4. Y-o-Y Growth Trend Analysis By Data Center Tier, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Data Center Tier, 2023 to 2033
8. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Installation Type
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Installation Type, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Installation Type, 2023 to 2033
8.3.1. New Installation
8.3.2. Retrofit/Upgrade
8.4. Y-o-Y Growth Trend Analysis By Installation Type, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Installation Type, 2023 to 2033
9. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By End User
9.1. Introduction / Key Findings
9.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
9.3.1. Cloud Providers
9.3.2. Colocation Providers
9.3.3. Enterprise Data Centers
9.3.4. Hyperscale Data Centers
9.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
9.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
10. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Industry
10.1. Introduction / Key Findings
10.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022
10.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033
10.3.1. BFSI
10.3.2. Healthcare
10.3.3. Manufacturing
10.3.4. IT & Telecom
10.3.5. Media & Entertainment
10.3.6. Retail
10.3.7. Government
10.3.8. Others
10.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022
10.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033
11. Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
11.1. Introduction
11.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
11.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
11.3.1. Kanto
11.3.2. Chubu
11.3.3. Kinki
11.3.4. Kyushu & Okinawa
11.3.5. Tohoku
11.3.6. Rest of Japan
11.4. Market Attractiveness Analysis By Region
12. Kanto Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Component
12.2.2. By Data Center Type
12.2.3. By Data Center Tier
12.2.4. By Installation Type
12.2.5. By End User
12.2.6. By Industry
12.3. Market Attractiveness Analysis
12.3.1. By Component
12.3.2. By Data Center Type
12.3.3. By Data Center Tier
12.3.4. By Installation Type
12.3.5. By End User
12.3.6. By Industry
12.4. Key Takeaways
13. Chubu Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Component
13.2.2. By Data Center Type
13.2.3. By Data Center Tier
13.2.4. By Installation Type
13.2.5. By End User
13.2.6. By Industry
13.3. Market Attractiveness Analysis
13.3.1. By Component
13.3.2. By Data Center Type
13.3.3. By Data Center Tier
13.3.4. By Installation Type
13.3.5. By End User
13.3.6. By Industry
13.4. Key Takeaways
14. Kinki Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Component
14.2.2. By Data Center Type
14.2.3. By Data Center Tier
14.2.4. By Installation Type
14.2.5. By End User
14.2.6. By Industry
14.3. Market Attractiveness Analysis
14.3.1. By Component
14.3.2. By Data Center Type
14.3.3. By Data Center Tier
14.3.4. By Installation Type
14.3.5. By End User
14.3.6. By Industry
14.4. Key Takeaways
15. Kyushu & Okinawa Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Component
15.2.2. By Data Center Type
15.2.3. By Data Center Tier
15.2.4. By Installation Type
15.2.5. By End User
15.2.6. By Industry
15.3. Market Attractiveness Analysis
15.3.1. By Component
15.3.2. By Data Center Type
15.3.3. By Data Center Tier
15.3.4. By Installation Type
15.3.5. By End User
15.3.6. By Industry
15.4. Key Takeaways
16. Tohoku Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Component
16.2.2. By Data Center Type
16.2.3. By Data Center Tier
16.2.4. By Installation Type
16.2.5. By End User
16.2.6. By Industry
16.3. Market Attractiveness Analysis
16.3.1. By Component
16.3.2. By Data Center Type
16.3.3. By Data Center Tier
16.3.4. By Installation Type
16.3.5. By End User
16.3.6. By Industry
16.4. Key Takeaways
17. Rest of Japan Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.2.1. By Component
17.2.2. By Data Center Type
17.2.3. By Data Center Tier
17.2.4. By Installation Type
17.2.5. By End User
17.2.6. By Industry
17.3. Market Attractiveness Analysis
17.3.1. By Component
17.3.2. By Data Center Type
17.3.3. By Data Center Tier
17.3.4. By Installation Type
17.3.5. By End User
17.3.6. By Industry
17.4. Key Takeaways
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Component
18.3.3. By Data Center Type
18.3.4. By Data Center Tier
18.3.5. By Installation Type
18.3.6. By End User
18.3.7. By Industry
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Siemens AG
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. ABB
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. Eaton
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Schneider Electric SE
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. DataSpan
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Hewlett Packard Enterprise
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Enlogic
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Delta Electronics Inc.
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. Raritan Inc.
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Huawei Technologies Co. Ltd.
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
19.1.11. Toshiba Electronic Devices & Storage Corporation
19.1.11.1. Overview
19.1.11.2. Product Portfolio
19.1.11.3. Profitability by Market Segments
19.1.11.4. Sales Footprint
19.1.11.5. Strategy Overview
19.1.11.5.1. Marketing Strategy
19.1.12. Bxterra Power Technology
19.1.12.1. Overview
19.1.12.2. Product Portfolio
19.1.12.3. Profitability by Market Segments
19.1.12.4. Sales Footprint
19.1.12.5. Strategy Overview
19.1.12.5.1. Marketing Strategy
19.1.13. Cyber Power Systems Inc.
19.1.13.1. Overview
19.1.13.2. Product Portfolio
19.1.13.3. Profitability by Market Segments
19.1.13.4. Sales Footprint
19.1.13.5. Strategy Overview
19.1.13.5.1. Marketing Strategy
19.1.14. General Electric
19.1.14.1. Overview
19.1.14.2. Product Portfolio
19.1.14.3. Profitability by Market Segments
19.1.14.4. Sales Footprint
19.1.14.5. Strategy Overview
19.1.14.5.1. Marketing Strategy
19.1.15. ZPE Systems Inc.
19.1.15.1. Overview
19.1.15.2. Product Portfolio
19.1.15.3. Profitability by Market Segments
19.1.15.4. Sales Footprint
19.1.15.5. Strategy Overview
19.1.15.5.1. Marketing Strategy
19.1.16. Aggreko
19.1.16.1. Overview
19.1.16.2. Product Portfolio
19.1.16.3. Profitability by Market Segments
19.1.16.4. Sales Footprint
19.1.16.5. Strategy Overview
19.1.16.5.1. Marketing Strategy
19.1.17. Sunbird Software Inc.
19.1.17.1. Overview
19.1.17.2. Product Portfolio
19.1.17.3. Profitability by Market Segments
19.1.17.4. Sales Footprint
19.1.17.5. Strategy Overview
19.1.17.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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Data Center Power Management Industry Analysis in Japan
