The data center power management industry in Korea is poised to undergo an average compound annual growth rate of 6.5% through 2034. The industry in Korea is standing at the threshold of significant prospects, starting with a valuation of US$ 465.0 million in 2024.
The integration of artificial intelligence and automation into data center operations is anticipated to enhance efficiency and decrease energy consumption. Power management solutions that utilize AI for predictive analytics and automated control are gaining significance. The adoption of data center power management in Korea is likely to secure US$ 875.2 million by 2034.
Key Insights - Highlights to Understand Emerging and Fast Growing Opportunities
| Attributes | Details |
|---|---|
| Industry Size for Data Center Power Management in Korea in 2024 | US$ 465.0 million |
| Expected Industry Size for Data Center Power Management in Korea by 2034 | US$ 875.2 million |
| Forecasted CAGR from 2024 to 2034 | 6.5% |
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Modular data centers allow organizations to quickly scale their IT infrastructure to meet changing demands. Businesses in Korea, especially those experiencing rapid growth or seasonal variations in data processing needs, can benefit from this scalability.
| Data Center Power Management in Korea based on Data Center Type | Modular Data Centers |
|---|---|
| Share in % in 2024 | 25.1% |
In terms of data center type, the modular segment is expected to account for an industry share of 25.1% in 2024. Modular data centers often offer cost savings through economies of scale, efficient resource usage, and reduced construction and operational costs. Given the competitiveness of the business landscape in Korea, cost efficiency is a significant driver.
Modular data centers can be deployed more quickly than traditional data centers, which is crucial in an environment where time to industry is a key factor. Businesses in Korea can rapidly respond to industry demands by using modular solutions.
Tier 4 data centers are designed to ensure near 100% uptime and are suitable for organizations with mission-critical applications. Businesses in Korea that require uninterrupted operations, such as financial institutions, healthcare providers, and government agencies, are drawn to Tier 4 data centers.
Based on data center tier, the Tier 4 segment is expected to account for an industry share of 34.6% in 2024. Certain industries in Korea, such as finance and healthcare, are subject to strict regulatory requirements regarding data security and availability. Tier 4 data centers are often better equipped to meet these compliance standards, driving their adoption.
The heightened level of reliability and redundancy in Tier 4 data centers ensures data security and robust disaster recovery capabilities. Organizations in Korea prioritize data security and the ability to recover quickly from any service interruptions.
| Data Center Power Management in Korea based on Data Center Tier | Tier 4 |
|---|---|
| Share in % in 2024 | 34.6% |
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South Gyeongsang is renowned for its industrial and economic development, housing a concentration of manufacturing and technology companies. With a growing demand for efficient power management solutions, these industries heavily rely on data centers for their operations.
The region boasts various manufacturing facilities, and many of these industries necessitate data centers for production, quality control, and supply chain management. Power management solutions play a vital role in ensuring the smooth operation of these data centers.
North Jeolla is known for its agricultural and food processing industries. The sectors increasingly rely on data centers for supply chain management, quality control, and data analysis. Efficient power management is vital for supporting these operations.
North Jeolla hosts educational and research institutions that require data centers for research, data storage, and collaborative projects. These organizations contribute to the demand for advanced power management solutions.
The data centers in the region may support data-intensive applications related to meteorological data, environmental monitoring, and tourism analytics. Power management is essential for these data centers to maintain reliable operations.
Organizations in Jeju are aiming to pursue digital transformation initiatives to modernize their operations. Data centers play a crucial role in these efforts and require effective power management to ensure reliability and performance.
The competitive landscape of the data center power management industry in Korea is marked by innovation and a pursuit of sustainable solutions. Power management has become a critical aspect of maintaining operational efficiency and reducing environmental impact as the demand for data center services continues to surge in the digital age. Several key players and emerging companies are actively contributing to this dynamic landscape, shaping the trajectory of the industry in Korea.
Recent Developments Observed in Data Center Power Management in Korea
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| Attribute | Details |
|---|---|
| Estimated Industry Size in 2024 | US$ 465.0 million |
| Projected Industry Size by 2034 | US$ 875.2 million |
| Anticipated CAGR from 2024 to 2034 | 6.5% CAGR |
| Historical Analysis of Demand for Data Center Power Management in Korea | 2019 to 2023 |
| Demand Forecast for Data Center Power Management in Korea | 2024 to 2034 |
| Report Coverage | Industry Size, Industry Trends, Analysis of key factors influencing the adoption of Data Center Power Management in Korea, Insights on Global Players and their Industry Strategy in Korea, Ecosystem Analysis of Providers in Korea |
| Key Provinces Analyzed while Studying Opportunities in Data Center Power Management in Korea | South Gyeongsang, North Jeolla, South Jeolla, Jeju |
| Key Companies Profiled | LG CNS; Samsung C&T; KT Corporation; SK Telecom; Korea Electric Power Corporation; NHN Corporation; Naver Corporation; Kakao Corporation; Celltrion Corporation; Schneider Electric; Eaton Corporation; Emerson Electric |
The industry in Korea is set to be valued at US$ 465.0 million in 2024.
The anticipated CAGR for the Korea data center power management landscape through 2034 is 6.5%.
Demand for data center power management in Korea is expected to reach US$ 875.2 million by 2034.
Modular segment is expected to dominate the demand for data center power management in Korea
Tier 4 segment to remain a key contributor in the data center power management ecosystem in Korea.
1. Executive Summary
1.1. Korea 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. Korea 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. Korea 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
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. Korea 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. Korea 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. Korea 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. Korea 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. Korea 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. Korea 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. South Gyeongsang
11.3.2. North Jeolla
11.3.3. South Jeolla
11.3.4. Jeju
11.3.5. Rest of Korea
11.4. Market Attractiveness Analysis By Region
12. South Gyeongsang 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. North Jeolla 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. South Jeolla 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. Jeju 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. Rest of Korea 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. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Component
17.3.3. By Data Center Type
17.3.4. By Data Center Tier
17.3.5. By Installation Type
17.3.6. By End User
17.3.7. By Industry
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Cyber Power Systems Inc.
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. General Electric
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. ZPE Systems Inc.
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Aggreko
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Sunbird Software Inc.
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Elco Solutions
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Socomec
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Siemens AG
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. ABB
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Eaton
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
18.1.11. Schneider Electric SE
18.1.11.1. Overview
18.1.11.2. Product Portfolio
18.1.11.3. Profitability by Market Segments
18.1.11.4. Sales Footprint
18.1.11.5. Strategy Overview
18.1.11.5.1. Marketing Strategy
18.1.12. DataSpan
18.1.12.1. Overview
18.1.12.2. Product Portfolio
18.1.12.3. Profitability by Market Segments
18.1.12.4. Sales Footprint
18.1.12.5. Strategy Overview
18.1.12.5.1. Marketing Strategy
18.1.13. Hewlett Packard Enterprise
18.1.13.1. Overview
18.1.13.2. Product Portfolio
18.1.13.3. Profitability by Market Segments
18.1.13.4. Sales Footprint
18.1.13.5. Strategy Overview
18.1.13.5.1. Marketing Strategy
18.1.14. Enlogic
18.1.14.1. Overview
18.1.14.2. Product Portfolio
18.1.14.3. Profitability by Market Segments
18.1.14.4. Sales Footprint
18.1.14.5. Strategy Overview
18.1.14.5.1. Marketing Strategy
18.1.15. Delta Electronics Inc.
18.1.15.1. Overview
18.1.15.2. Product Portfolio
18.1.15.3. Profitability by Market Segments
18.1.15.4. Sales Footprint
18.1.15.5. Strategy Overview
18.1.15.5.1. Marketing Strategy
18.1.16. Raritan Inc.
18.1.16.1. Overview
18.1.16.2. Product Portfolio
18.1.16.3. Profitability by Market Segments
18.1.16.4. Sales Footprint
18.1.16.5. Strategy Overview
18.1.16.5.1. Marketing Strategy
18.1.17. Huawei Technologies Co. Ltd.
18.1.17.1. Overview
18.1.17.2. Product Portfolio
18.1.17.3. Profitability by Market Segments
18.1.17.4. Sales Footprint
18.1.17.5. Strategy Overview
18.1.17.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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Data Center Power Management Industry Analysis in Korea
