South Korea Data Center GPU - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)

The south korea data center gPU market size is expected to grow from USD 0.72 billion in 2025 to USD 0.83 billion in 2026 and is forecast to reach USD 1.46 billion by 2031 at 11.93% CAGR over 2026-2031. This report is Segmented by Deployment Type (Cloud Data Centers, Enterprise/Private Data Centers, and More), GPU Type (Training GPUs, and Inference GPUs), Interconnect (PCIe-Based GPUs, and High-Bandwidth Interconnect GPUs), Workload Type (AI and ML, HPC, and More), and End-User (Hyperscalers/CSPs, Government and Research Institutions). The Market Forecasts are Provided in Terms of Value (USD).

South Korea Data Center GPU Market Trends and Insights

Surging Adoption of Generative AI Workloads

Korean hyperscalers are scaling multimodal language models that serve tens of millions of domestic users, which keeps utilization rates above 80% and locks in predictable demand. Naver’s KRW 400 billion (USD 307.7 million) debt facility earmarked for HyperCLOVA X OMNI adds thousands of GPUs, and SK Group alone targets 50,000 units by 2027.Multi-year contracts coupled with vendor rebates lower per-GPU acquisition cost and lift the South Korea data center GPU market profitability.

Rapid Expansion of 5G and Edge Computing Infrastructure

Standalone 5G coverage exceeding 97% of households reduces round-trip latency requirements and sparks micro-modular edge builds around Seoul’s manufacturing corridors. KT’s Gasan AI Data Center reaches 1.15 PUE using direct-to-chip liquid cooling, delivering 35% energy savings.Edge operators prioritize inference-tuned L4 and MI210 cards that fit 28 kW racks, broadening the South Korea data center GPU market footprint outside legacy hyperscale campuses.

Supply Chain Volatility in Advanced GPU Packaging

Yield dips for early HBM4 runs and calibration delays at new package lines restrict near-term volumes, forcing domestic buyers to extend order lead times and maintain 90-day inventories.Import licenses on H200 and MI325X units add further uncertainty, shaving 1.8 percentage points off the baseline CAGR forecast for the South Korea data center GPU market.

Other drivers and restraints analyzed in the detailed report include:

• Government Incentives for Semiconductor Self-Reliance
• Increasing Demand for Biomedical High-Performance Computing
• Rising Energy Prices and Grid Constraints

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Cloud facilities captured 52.95% of South Korea data center GPU market revenue in 2025, anchored by multi-tenant halls in Seoul’s Pangyo and Gasan districts. Higher rack utilization, bulk power procurement, and interconnect-rich fiber links keep per-GPU opex 30% below enterprise norms. Demand nevertheless tilts toward edge nodes that shorten latency to sub-10 milliseconds for autonomous mobility and augmented reality applications. KT’s liquid-cooled Gasan site runs 120 kW racks, marrying cloud-grade density with metro-edge proximity.

Enterprises such as Hyundai Motor Group deploy private clusters exceeding 50,000 accelerators to safeguard proprietary simulation data, demonstrating how conglomerates now fragment GPU demand across self-owned halls. Regulatory mandates that public services keep personal data onshore further lift edge uptake, fostering hundreds of micro-sites connected via 5G backhaul. This pivot diversifies revenue streams and cements the South Korea data center GPU market as a highly distributed ecosystem.

AI and ML pipelines accounted for 62.17% of 2025 spending, underpinned by recommendation engines, search ranking, and conversational agents. These always-on inference flows optimize tokens-per-watt economics, sustaining 24-hour utilization cycles. GPU-accelerated SQL engines tripled fraud-detection query speeds at a Seoul National University pilot, signaling a fresh wave of database offloads.

High-performance computing retains a niche yet lucrative share due to double-precision needs in genomics, CFD, and weather modeling. Graphics virtualization for digital twins attracts automotive and electronics OEMs keen on shrinking prototype cycles, further diversifying the South Korean data center GPU market workload mix.

Complete Report Scope:

• By Deployment Type
  • Cloud Data Centers
  • Enterprise / Private Data Centers
  • Edge Data Centers
• By GPU Type
  • Training GPUs
  • Inference GPUs
• By Interconnect
  • PCIe-Based GPUs
  • High-Bandwidth Interconnect GPUs
• By Workload Type
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • High-Performance Computing (HPC) (non-AI scientific computing)
  • Data Analytics (database acceleration, query processing)
  • Graphics and Visualization (VDI, rendering, digital twins)
• By End-User
  • Hyperscalers / Cloud Service Providers
  • Enterprises
  • Government and Research Institutions

List of Companies Covered in this Report:

• NVIDIA Corporation
• Advanced Micro Devices Inc.
• Intel Corporation
• Samsung Electronics Co. Ltd.
• SK hynix Inc.
• Amazon Web Services Inc.
• Google LLC
• Microsoft Corporation
• Alibaba Cloud Computing Co. Ltd.
• Oracle Corporation
• International Business Machines Corporation
• Baidu Inc.
• Tencent Cloud Computing (Beijing) Co. Ltd.
• Digital Realty Trust Inc.
• Equinix Inc.
• Naver Corporation
• Kakao Corp.
• KT Corporation
• LG CNS Co. Ltd.
• NHN Cloud Corp.

Additional Benefits:

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