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South Korea AI Data Center - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025-2030)

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    Report

  • 121 Pages
  • July 2026
  • Region: South Korea
  • Mordor Intelligence
  • ID: 6260775
The south korea artificial intelligence data center market size stands at USD 0.58 billion in 2025 and is projected to reach USD 1.89 billion by 2030, reflecting a 26.61% CAGR. This report is Segmented by Data Center Type (Cloud Service Providers, Colocation Data Centers, and More), Component (Hardware, Software Technology, and Services), Tier Standard (Tier III and Tier IV), End-User Industry (IT and ITES, Internet and Digital Media, and More). The Market Forecasts are Provided in Terms of Value (USD).

South Korea AI Data Center Market Trends and Insights

Rapid Expansion of Cloud Computing and Edge Computing Services

Enterprises are shifting legacy workloads into hyperscale cloud environments even as they deploy micro data centers at factories and retail sites for real-time inference. Average cloud migration rates rose 34% year-over-year, yet 41% of those same firms launched edge nodes in 2024 to keep latency below 10 ms for mission-critical processes. SK Telecom and AWS integrated a 50 MW facility in Ulsan that hosts GPU clusters for training while distributing inference workloads to local edge cabinets, illustrating the hybrid architectures shaping the South Korea artificial intelligence data center market. The Personal Information Protection Act further sustains sovereign-cloud spending, ensuring sensitive datasets remain onshore even when models are globally orchestrated.

Government Incentives Under “Digital New Deal” for AI Infrastructure

The KRW 160 trillion stimulus reserves 23% for AI compute and connectivity, creating tax breaks, low-interest loans, and accelerated permitting for compliant projects. Public sector anchor tenants, such as the National AI Computing Center, pre-book capacity and de-risk greenfield builds in provincial cities. Operators meeting prescribed Power Usage Effectiveness targets qualify for incremental subsidies that can lower lifetime capex by 6-8%. The resulting project pipeline positions the South Korea artificial intelligence data center market for sustained double-digit expansion through 2030.

High Capital and Operating Expenditure Requirements

AI-grade halls cost USD 12 million per MW in Seoul, 50% above conventional facilities, driven by liquid cooling loops, redundant 400 Gbps fabrics, and GPU procurement premiums. Operating costs escalate as dense racks push energy intensity 40% higher than legacy systems while specialist engineers command 30% salary uplifts. Import dependencies on GPU silicon expose operators to exchange-rate swings that inflate bill-of-materials by up to 20% in weak-won periods.

Other drivers and restraints analyzed in the detailed report include:

  • Surge in 5G-Driven Data Consumption and Streaming Traffic
  • Growing Low-Latency Demand from Autonomous Vehicles and Smart Factories
  • Stringent Environmental Regulations on Energy and Water Use

Segment Analysis

Cloud Service Providers continued to dominate, retaining 55.82% revenue in 2024, while the colocation segment is accelerating with a 28.23% CAGR. This mix shows enterprises blending hyperscale training clusters with rentable edge racks to balance sovereignty and scalability. In 2024, 67% of new AI workloads adopted hybrid deployment spanning at least two facility types. Colocation operators now pre-install liquid-ready risers and 400 Gbps leaf-spine fabrics to attract latency-sensitive AI inference contracts. The South Korea artificial intelligence data center market keeps evolving as enterprises prefer seamless workload portability between on-premises GPU pods and cloud VMs.

Managed hosting remains essential for regulated sectors that cannot fully outsource data, sustaining moderate growth in enterprise-class halls. Edge micro-data centers situated inside manufacturing parks underscore the market’s geographic dispersion. The Korea Internet and Security Agency’s zero-trust guidelines also heighten demand for secure inter-facility links, reinforcing the relevance of multi-type strategies in the South Korea artificial intelligence data center industry.

Software retained 45.83% of spending in 2024, reflecting license fees for orchestration platforms and AI frameworks, yet Hardware posted the fastest 27.67% CAGR as every new hall pivots to GPU racks drawing 700 W per chip. The South Korea artificial intelligence data center market size for hardware surpassed USD 0.2 billion in 2024 and is projected to triple by 2030 on the back of high-bandwidth memory GPUs and 800 Gbps optical interconnects. Liquid cooling rollouts shift CAPEX allocations toward infrastructure subsystems instead of traditional chiller plants.

Professional services rise as firms seek workload tuning and capacity-planning expertise. Consulting contracts now bundle energy-optimization, model-partitioning, and compliance assessments, underscoring how software and services monetize beyond one-off hardware purchases. Sovereign-cloud mandates drive proprietary accelerator development, a trend likely to diversify the supply chain within the South Korea artificial intelligence data center market.

Complete Report Scope:

  • By Data Center Type
    • Cloud Service Providers
    • Colocation Data Centers
    • Enterprise / On-Premises / Edge
  • By Component
    • Hardware
      • Power Infrastructure
      • Cooling Infrastructure
      • IT Equipment
      • Racks and Other Hardware
    • Software Technology
      • Machine Learning
      • Deep Learning
      • Natural Language Processing
      • Computer Vision
    • Services
      • Managed Services
      • Professional Services
  • By Tier Standard
    • Tier III
    • Tier IV
  • By End-user Industry
    • IT and ITES
    • Internet and Digital Media
    • Telecom Operators
    • BFSI
    • Healthcare and Life Sciences
    • Manufacturing and Industrial IoT
    • Government and Defense

List of Companies Covered in this Report:

  • SK Broadband Co., Ltd.
  • KT Corporation (IDC Business Unit)
  • LG CNS Co., Ltd.
  • Naver Cloud Corp.
  • Kakao Enterprise Corp.
  • Samsung SDS Co., Ltd.
  • NHN Cloud Corporation
  • CJ OliveNetworks Co., Ltd. (Dream Mark One)
  • Equinix Korea Ltd.
  • Digital Realty Korea Ltd.
  • ST Telemedia Global Data Centres Korea Co., Ltd.
  • Digital Edge (Republic of Korea) Ltd.
  • AirTrunk Operating Korea Ltd.
  • LG Uplus Corp. (IDC Division)
  • Sejong Telecom Co., Ltd. (IDC Division)
  • Intel Corporation
  • Advanced Micro Devices, Inc.
  • NVIDIA Corporation
  • Arm Ltd.
  • Sunbird Software, Inc.
  • Cisco Systems, Inc.
  • Nlyte Software Ltd.
  • Schneider Electric SE
  • ABB Ltd.
  • Vertiv Group Corp.
  • Alfa Laval AB
  • Green Revolution Cooling, Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET LANDSCAPE
4.1 Market Overview
4.2 Impact of Macroeconomic Factors
4.3 Market Drivers
4.3.1 Rapid expansion of cloud computing and edge computing services
4.3.2 Government incentives under “Digital New Deal” for AI infrastructure
4.3.3 Surge in 5G-driven data consumption and streaming traffic
4.3.4 Growing low-latency demand from autonomous vehicles and smart factories
4.3.5 Repurposing idle industrial sites for modular AI data centres
4.3.6 Corporate green-energy PPAs accelerating AI compute hubs
4.4 Market Restraints
4.4.1 High capital and operating expenditure requirements
4.4.2 Stringent environmental regulations on energy and water use
4.4.3 Power-grid constraints in Seoul metropolitan area
4.4.4 Talent shortage for AI-optimised DC operations engineers
4.5 Impact on Sustainability and Carbon-Neutral Energy Goals
4.5.1 Sustainable Power Source and Management
4.5.1.1 Renewable vs Non-Renewable Sources of Power (Green DCs and AI Innovations)
4.5.1.2 Carbon-Footprint Reduction (Heat Pumps, District Cooling and Heating, others)
4.5.2 Sustainable Cooling Solutions and Management
4.5.2.1 Efficient Cooling Solutions for AI-Optimised DCs
4.5.2.2 PUE Ratio, WUE Ratio - Analysis
4.6 Industry Ecosystem Analysis
4.7 Regulatory or Technological Outlook
4.8 Porter’s Five Forces Analysis
4.8.1 Threat of New Entrants
4.8.2 Bargaining Power of Suppliers
4.8.3 Bargaining Power of Buyers
4.8.4 Threat of Substitutes
4.8.5 Intensity of Competitive Rivalry
5 MARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Data Center Type
5.1.1 Cloud Service Providers
5.1.2 Colocation Data Centers
5.1.3 Enterprise / On-Premises / Edge
5.2 By Component
5.2.1 Hardware
5.2.1.1 Power Infrastructure
5.2.1.2 Cooling Infrastructure
5.2.1.3 IT Equipment
5.2.1.4 Racks and Other Hardware
5.2.2 Software Technology
5.2.2.1 Machine Learning
5.2.2.2 Deep Learning
5.2.2.3 Natural Language Processing
5.2.2.4 Computer Vision
5.2.3 Services
5.2.3.1 Managed Services
5.2.3.2 Professional Services
5.3 By Tier Standard
5.3.1 Tier III
5.3.2 Tier IV
5.4 By End-user Industry
5.4.1 IT and ITES
5.4.2 Internet and Digital Media
5.4.3 Telecom Operators
5.4.4 BFSI
5.4.5 Healthcare and Life Sciences
5.4.6 Manufacturing and Industrial IoT
5.4.7 Government and Defense
6 COMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)}
6.4.1 SK Broadband Co., Ltd.
6.4.2 KT Corporation (IDC Business Unit)
6.4.3 LG CNS Co., Ltd.
6.4.4 Naver Cloud Corp.
6.4.5 Kakao Enterprise Corp.
6.4.6 Samsung SDS Co., Ltd.
6.4.7 NHN Cloud Corporation
6.4.8 CJ OliveNetworks Co., Ltd. (Dream Mark One)
6.4.9 Equinix Korea Ltd.
6.4.10 Digital Realty Korea Ltd.
6.4.11 ST Telemedia Global Data Centres Korea Co., Ltd.
6.4.12 Digital Edge (Republic of Korea) Ltd.
6.4.13 AirTrunk Operating Korea Ltd.
6.4.14 LG Uplus Corp. (IDC Division)
6.4.15 Sejong Telecom Co., Ltd. (IDC Division)
6.4.16 Intel Corporation
6.4.17 Advanced Micro Devices, Inc.
6.4.18 NVIDIA Corporation
6.4.19 Arm Ltd.
6.4.20 Sunbird Software, Inc.
6.4.21 Cisco Systems, Inc.
6.4.22 Nlyte Software Ltd.
6.4.23 Schneider Electric SE
6.4.24 ABB Ltd.
6.4.25 Vertiv Group Corp.
6.4.26 Alfa Laval AB
6.4.27 Green Revolution Cooling, Inc.
7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-space and Unmet-Need Assessment

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • SK Broadband Co., Ltd.
  • KT Corporation (IDC Business Unit)
  • LG CNS Co., Ltd.
  • Naver Cloud Corp.
  • Kakao Enterprise Corp.
  • Samsung SDS Co., Ltd.
  • NHN Cloud Corporation
  • CJ OliveNetworks Co., Ltd. (Dream Mark One)
  • Equinix Korea Ltd.
  • Digital Realty Korea Ltd.
  • ST Telemedia Global Data Centres Korea Co., Ltd.
  • Digital Edge (Republic of Korea) Ltd.
  • AirTrunk Operating Korea Ltd.
  • LG Uplus Corp. (IDC Division)
  • Sejong Telecom Co., Ltd. (IDC Division)
  • Intel Corporation
  • Advanced Micro Devices, Inc.
  • NVIDIA Corporation
  • Arm Ltd.
  • Sunbird Software, Inc.
  • Cisco Systems, Inc.
  • Nlyte Software Ltd.
  • Schneider Electric SE
  • ABB Ltd.
  • Vertiv Group Corp.
  • Alfa Laval AB
  • Green Revolution Cooling, Inc.