고성능 컴퓨팅 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the high performance computing market size is projected to expand from USD 55.78 billion in 2025 and USD 60.12 billion in 2026 to USD 87.5 billion by 2031, registering a CAGR of 7.79% between 2026 to 2031.

This report is Segmented by Component (Hardware, Software, and Services), Deployment Mode (On-Premise, Cloud, and Hybrid), Industrial Application (Government and Defense, Academic and Research Institutions, BFSI, Manufacturing and Automotive Engineering, and More), Chip Type (CPU, GPU, FPGA, and ASIC / AI Accelerators) and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global High Performance Computing Market Trends and Insights

The Explosion of AI and ML Training Workloads in U.S. Federal Labs and Tier-1 Cloud Providers

Federal agencies now embed petaflop-scale infrastructure into operational AI pipelines rather than isolated research sandboxes. Oak Ridge National Laboratory's 1.2-exaflop Frontier trains foundation models that compress battery-chemistry discovery cycles from 18 months to 6 weeks, validating the transition from exploratory benchmarks to real-world deliverables. The National Science Foundation's 2025 Genesis Mission earmarks USD 800 million for distributed AI clusters across 20 universities, multiplying regional access to high performance computing market resources. Microsoft Azure's ND H100 v5 instances provide 3.2-terabit-per-second InfiniBand fabrics that let pharmaceutical firms build 100-billion-parameter transformers without cross-region sharding. The combined federal-private stimulus advances GPU refresh cycles, rendering legacy A100 nodes economically obsolete for trillion-parameter workloads and tightening demand for scarce HBM3e-based accelerators.

Surging Demand for GPU-Accelerated Molecular Dynamics in Asian Pharma Outsourcing Hubs

Contract research organizations in China and India deploy thousands of GPUs to compress small-molecule binding simulations from weeks to hours, leveling the playing field against Western pharmaceutical incumbents. WuXi AppTec's 5,000-GPU Shanghai cluster screens 10 million compounds per quarter at 40-times CPU throughput, delivering cost per GPU-hour roughly 60% lower than North American labs thanks to subsidized electricity and tax holidays. India's PARAM Rudra allocates one-third of its 2025 compute budget to Council of Scientific and Industrial Research laboratories, accelerating tuberculosis drug discovery by fusing AlphaFold-generated protein structures with GPU-driven docking engines. This geographic arbitrage shifts pharmaceutical preclinical pipelines eastward, reinforcing Asia Pacific's long-run share of the high performance computing market.

Escalating Datacenter Water-Usage Restrictions in Drought-Prone U.S. States

Water scarcity now dictates site selection. California's 20% industrial-use reduction order forced Tier-3 facilities to retrofit with dry cooling that raises power draw by 15%, adding USD 50 million per site in 2025 retrofit capital. Arizona halted new groundwater permits in Phoenix, compelling builders to incorporate closed-loop liquid cooling or cancel projects. Google postponed a 200-megawatt Nevada HPC site for lack of water rights, substituting a costlier air-cooled design. Capacity shifts north toward Oregon and Washington, but that realignment increases latency for California-based AI startups that previously enjoyed single-region round-trip times below 10 milliseconds.

Other drivers and restraints analyzed in the detailed report include:

1. Mandatory Automotive ADAS Simulation Compliance in EU EURO-NCAP 2030 Roadmap
2. National Exascale Initiatives Driving Indigenous Processor Adoption in China and India
3. Global Shortage of HBM3e Memory Constraining GPU Server Shipments 2024-26

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

Segment Analysis

Services recorded the fastest trajectory, expanding at a 9.42% CAGR from 2026 to 2031 as enterprises transition away from multimillion-dollar capital purchases toward pay-per-core-hour contracts. Hardware still accounted for 51.54% of 2025 revenue, but the high performance computing market size for services is projected to surpass USD 30 billion by 2031, closing the historical gap. Managed HPC and HPC-as-a-Service offerings allow aerospace and banking clients to spin up 100,000-core clusters for two-day burst windows instead of locking funds into five-year depreciation cycles, improving budget agility when demand is episodic. System-integration engagements now bundle application porting, code refactoring and performance tuning, particularly for legacy Fortran or C kernels that require GPU-optimized rewrites to exploit concurrency. Within hardware, however, GPU-accelerated nodes remain supply-constrained, and direct-to-chip liquid cooling becomes mandatory as 700-watt devices push rack densities beyond 120 kilowatts.

Professional-services vendors increasingly guarantee performance targets measured in wall-clock hours, not utilization percentages, aligning incentives with customer outcomes. Flash arrays dominate latency-sensitive workloads, while object repositories store exabyte-scale genomics archives. Interconnect sales migrate to 400-gigabit Ethernet for cost-conscious buyers and to InfiniBand NDR for top-end deployments that must train 100-billion-parameter models within 10 days. Software revenue, though smaller, underpins job-scheduling, data-orchestration and hybrid-burst automation, enabling policy-driven placement that factors cloud spot pricing and data-residency rules in the HPC market. Altogether these shifts re-rank vendor margin structures and tilt long-term value capture toward recurring services.

Cloud held 48.88% of 2025 revenue, but the high performance computing market size for hybrid deployments is projected to expand fastest, growing at an 8.22% CAGR through 2031 as security and cost considerations dictate a blended approach. Enterprises discover that sustained workloads exceeding 18 months achieve lower total cost of ownership on owned infrastructure, whereas seasonal or exploratory computations still favor cloud burst. Defense agencies and high-frequency traders, constrained by sub-millisecond latency and air-gapped security mandates, keep control planes on-premise yet outsource parameter sweeps to public clouds during off-hours. Schlumberger's 2025 migration to a Houston-plus-OCI model underscores the savings potential of hybrid, trimming USD 120 million from projected three-year capital spend.

Operational complexity rises with workload portability, egress fees at USD 0.12 per gigabyte make petabyte shuffling uneconomical, so firms prioritize compute-to-data ratios when selecting execution venues. Kubernetes-native schedulers such as IBM Spectrum LSF and HPE Slingshot automate placement, but compliance officers still vet cross-border data flows to meet GDPR and sector-specific mandates. Cloud providers counter by promising region-locked HPC zones with residency guarantees, but such offerings carry premium pricing. The hybrid surge ultimately reframes the high performance computing market for networking gear, storage gateways and observability stacks tuned for multi-site topologies.

Complete Report Scope:

• By Component
  • Hardware
    • Servers
      • General-Purpose CPU Servers
      • GPU-Accelerated Servers
      • ARM-Based Servers
    • Storage Systems
      • HDD Arrays
      • Flash-Based Arrays
      • Object Storage
    • Interconnect and Networking
      • InfiniBand
      • Ethernet (25/40/100/400 GbE)
      • Custom or Optical Interconnects
  • Software
    • System Software (OS, Cluster Management)
    • Middleware and RAS Tools
    • Parallel File Systems
  • Services
    • Professional Services
    • Managed and HPC-as-a-Service (HPCaaS)
• By Deployment Mode
  • On-premise
  • Cloud
  • Hybrid
• By Chip Type (Cross-Cut with Component)
  • CPU
  • GPU
  • FPGA
  • ASIC or AI Accelerators
• By Industrial Application
  • Government and Defense
  • Academic and Research Institutions
  • BFSI
  • Manufacturing and Automotive Engineering
  • Life Sciences and Healthcare
  • Energy, Oil and Gas
  • Other Industry Applications
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Nordics (Sweden, Norway, Finland)
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East
    • Israel
    • United Arab Emirates
    • Saudi Arabia
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Rest of Africa

Geography Analysis

North America accounted for 40.48% of 2025 revenue, anchored by USD 3.5 billion in U.S. federal exascale funding and hyperscale cloud operators that annually invest more than USD 200 billion in AI-optimized datacenters. The high performance computing market size in Canada rises as quantum-annealing vendor D-Wave ships 10,000-qubit systems for portfolio optimization, bridging classical-quantum workflows for financial institutions. Mexico's entrance remains modest, serving nearshored automotive crash simulation through a 5-petaflop General Motors cluster installed in Toluca. Geographically, water-usage curbs in California and datacenter moratoriums in Virginia divert new builds to Oregon, Washington and Texas, subtly re-mapping intra-region latency profiles that historically favored Silicon Valley.

Asia Pacific is projected to grow fastest at 7.98% CAGR, powered by indigenous exascale deployments and sovereign silicon programs. China's Sunway Oceanlight and follow-on systems circumvent foreign export regimes and enable climate modeling and aerospace design without dependency on Western chips. India's USD 1.2 billion National Supercomputing Mission 2.0 will install 25 petaflops across academic campuses by 2027, democratizing access for biotech and weather-forecast startups. Japan's ARM-based Fugaku remains the energy-efficiency benchmark, influencing global CPU roadmaps, while South Korea aligns semiconductor-process simulation clusters with Samsung R&D to accelerate HBM packaging. Singapore's 15-petaflop expansion positions its national supercomputing center as an ASEAN hub for pharmaceutical and finance workloads. Data residency and cyber-sovereignty laws force multinational enterprises to maintain in-country clusters, giving rise to a fragmented yet fast-growing regional supply chain.

Europe captured 22% of 2025 global revenue. The EuroHPC Joint Undertaking funds exascale-class systems such as Finland's 309-petaflop LUMI and Italy's 304-petaflop Leonardo for materials science and climate research. Germany's JUPITER exascale machine leverages NVIDIA H100 GPUs and eviden BullSequana cabinets to support Volkswagen crash simulations and BASF catalyst design. The EURO-NCAP 2030 mandate remains a structural demand driver for GPU clusters across Germany, France and Italy, while Nordic nations attract private cloud builds thanks to abundant hydroelectric power and free ambient cooling. GDPR-induced residency obligations sustain on-premise and hybrid growth, particularly in healthcare and finance where sensitive records cannot leave national borders.

South America, the Middle East and Africa remain nascent but opportunity-rich. Brazil's Petrobras operates 10 petaflops for offshore reservoir models, and Saudi Arabia's KAUST added 15 petaflops in 2024 for renewable-energy and desalination research. The United Arab Emirates commissioned an 8-petaflop cluster for Arabic large-language-model training and smart-city twins. Israel's Technion expanded to 5 petaflops for cybersecurity analytics, whereas South Africa's CHPC maintains 4 petaflops for mining and epidemiology. Infrastructure gaps such as intermittent power in Nigeria and severe water scarcity in Gulf states elevate deployment cost, encouraging containerized or modular designs optimized for energy efficiency.

1. Advanced Micro Devices
2. NEC Corporation
3. Fujitsu Limited
4. Qualcomm Incorporated
5. Hewlett Packard Enterprise
6. Dell Technologies
7. Lenovo Group
8. IBM Corporation
9. Eviden (Atos SE)
10. NVIDIA Corporation
11. Intel Corporation
12. Penguin Computing (SMART Global)
13. Inspur Group
14. Huawei Technologies
15. Amazon Web Services
16. Microsoft Azure
17. Google Cloud Platform
18. Oracle Cloud Infrastructure
19. Alibaba Cloud

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 METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 The Explosion of AI and ML Training Workloads in U.S. Federal Labs and Tier-1 Cloud Providers
  • 4.2.2 Surging Demand for GPU-Accelerated Molecular Dynamics in Asian Pharma Outsourcing Hubs
  • 4.2.3 Mandatory Automotive ADAS Simulation Compliance in EU EURO-NCAP 2030 Roadmap
  • 4.2.4 National Exascale Initiatives Driving Indigenous Processor Adoption in China and India
  • 4.2.5 Rapid Adoption of Digital Twins for Grid-Scale Battery Storage Optimization
  • 4.2.6 Emergence of Quantum-Inspired Annealing Accelerators for Portfolio Optimization
• 4.3 Market Restraints
  • 4.3.1 Escalating Datacenter Water-Usage Restrictions in Drought-Prone U.S. States
  • 4.3.2 Ultra-Low-Latency Edge Requirements Undermining Centralized Cloud Economics
  • 4.3.3 Global Shortage of HBM3e Memory Constraining GPU Server Shipments 2024-26
  • 4.3.4 Cyber-Sovereignty Regulations Limiting Cross-Border HPCaaS Workloads
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Outlook
• 4.6 Technological Outlook (Chiplets, Optical Interconnects)
• 4.7 Impact of Macroeconomic Factors on the Market
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE )

• 5.1 By Component
  • 5.1.1 Hardware
    • 5.1.1.1 Servers
      • 5.1.1.1.1 General-Purpose CPU Servers
      • 5.1.1.1.2 GPU-Accelerated Servers
      • 5.1.1.1.3 ARM-Based Servers
    • 5.1.1.2 Storage Systems
      • 5.1.1.2.1 HDD Arrays
      • 5.1.1.2.2 Flash-Based Arrays
      • 5.1.1.2.3 Object Storage
    • 5.1.1.3 Interconnect and Networking
      • 5.1.1.3.1 InfiniBand
      • 5.1.1.3.2 Ethernet (25/40/100/400 GbE)
      • 5.1.1.3.3 Custom or Optical Interconnects
  • 5.1.2 Software
    • 5.1.2.1 System Software (OS, Cluster Management)
    • 5.1.2.2 Middleware and RAS Tools
    • 5.1.2.3 Parallel File Systems
  • 5.1.3 Services
    • 5.1.3.1 Professional Services
    • 5.1.3.2 Managed and HPC-as-a-Service (HPCaaS)
• 5.2 By Deployment Mode
  • 5.2.1 On-premise
  • 5.2.2 Cloud
  • 5.2.3 Hybrid
• 5.3 By Chip Type (Cross-Cut with Component)
  • 5.3.1 CPU
  • 5.3.2 GPU
  • 5.3.3 FPGA
  • 5.3.4 ASIC or AI Accelerators
• 5.4 By Industrial Application
  • 5.4.1 Government and Defense
  • 5.4.2 Academic and Research Institutions
  • 5.4.3 BFSI
  • 5.4.4 Manufacturing and Automotive Engineering
  • 5.4.5 Life Sciences and Healthcare
  • 5.4.6 Energy, Oil and Gas
  • 5.4.7 Other Industry Applications
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Nordics (Sweden, Norway, Finland)
    • 5.5.2.6 Rest of Europe
  • 5.5.3 Asia Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 South Korea
    • 5.5.3.5 Singapore
    • 5.5.3.6 Rest of Asia Pacific
  • 5.5.4 South America
    • 5.5.4.1 Brazil
    • 5.5.4.2 Argentina
    • 5.5.4.3 Rest of South America
  • 5.5.5 Middle East
    • 5.5.5.1 Israel
    • 5.5.5.2 United Arab Emirates
    • 5.5.5.3 Saudi Arabia
    • 5.5.5.4 Turkey
    • 5.5.5.5 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Nigeria
    • 5.5.6.3 Rest of Africa

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 or Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Advanced Micro Devices
  • 6.4.2 NEC Corporation
  • 6.4.3 Fujitsu Limited
  • 6.4.4 Qualcomm Incorporated
  • 6.4.5 Hewlett Packard Enterprise
  • 6.4.6 Dell Technologies
  • 6.4.7 Lenovo Group
  • 6.4.8 IBM Corporation
  • 6.4.9 Eviden (Atos SE)
  • 6.4.10 NVIDIA Corporation
  • 6.4.11 Intel Corporation
  • 6.4.12 Penguin Computing (SMART Global)
  • 6.4.13 Inspur Group
  • 6.4.14 Huawei Technologies
  • 6.4.15 Amazon Web Services
  • 6.4.16 Microsoft Azure
  • 6.4.17 Google Cloud Platform
  • 6.4.18 Oracle Cloud Infrastructure
  • 6.4.19 Alibaba Cloud

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment