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
