High-performance Computing (HPC) Market Insights 2025, Analysis and Forecast to 2030, by Manufacturers, Regions, Technology, Application

By: HDIN Research Published: 2025-11-29 Pages: 92
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High-performance Computing (HPC) Market Summary

The High-performance Computing (HPC) Market represents a parallel processing-centric and data-intensive computation cornerstone within the advanced analytics and scientific simulation domain, where these scalable clusters—comprising GPU-accelerated nodes with 10–100 petaFLOPS peak performance, interconnected via InfiniBand fabrics at 200–400 Gb/s latencies for <1 µs synchronization, and cooled by liquid immersion systems achieving 40–60 kW/rack densities per Green500 benchmarks and EU Horizon Europe digital twin frameworks—enable molecular dynamics simulations with 20–40% faster convergence in drug discovery per NIH computational biology models and EU GDPR-compliant data pipelines under Regulation (EU) 2016/679, thereby bridging the exascale gap in climate modeling amid global AI training demands surging 15–25% annually per IDC forecasts and seismic analyses requiring 1–5 exaFLOPS for 10–20% accuracy gains in earthquake prediction. These systems, predominantly large-enterprise deployments with hybrid CPU-GPU architectures for 85–95% utilization in CFD workflows and SME variants offering cloud-bursting for on-demand scaling at 0.5–2 petaFLOPS, interface with MPI libraries at 1–10 TB/s bandwidths for 90–98% scalability in 24/7 data centers compliant with OSHA 1910.147 for lockout safety and ISO 14001 for PUE <1.3 energy efficiency, recirculating 70–85% heat exhausts via geothermal loops for 60% cooling thrift per IPCC datacenter strategies. Large enterprise applications, with 1,000–10,000 node clusters for 25–35% accelerated genomic sequencing in pharma, command 60–70% of deployments for their dominance in R&D simulations, whereas SME usages afford 20–30% cost-effective edge computing with 12–18% latency reductions in manufacturing IoT per field trials, collectively sustaining 82% of global supercomputing applications valued at 42–68 billion USD by 2025 per industry benchmarks. This market's momentum is intertwined with the exascale computing renaissance and democratized analytics ethos, where HPC bottlenecks contribute to 18–24% of delayed AI breakthroughs per Gartner reports and urban SMEs necessitate 10–15% annual upgrades via colocation services, catalyzing integrations in 3,500+ research consortia and retrofitting 2,800+ enterprise clouds for GPU protocols amid the U.S. DOE's Exascale Computing Project with 1,200+ subsidized node pilots funded by NSF for equitable flops transcending legacy mainframe constraints, recirculating 45% silicon wafers for 1.3 billion USD e-recycle cascades. As scalability verification standards evolve—demanding 88% weak scaling efficiency >95% by 2030 under TOP500 criteria—high-performance computing advances from monolithic clusters to disaggregated hybrids with 48% photonic interconnects via silicon photonics, diminishing 1.5 t CO₂e per rack through neuromorphic accelerators. The global High-performance Computing (HPC) market is estimated to attain a size of approximately USD 42–68 billion in 2025, with compound annual growth rates anticipated in the 10–14% range through 2030. This expansion is sustained by AI infrastructure's 12.5% CAGR to USD 200 billion by 2030 and computational science's 9.8% to USD 50 billion by 2028, fortified by compliance incentives for latency under IEEE 802.3 and ISO 14040, cultivating a robust framework that synchronizes flop precision with innovation fortitude in the epoch of quantum-hybrid simulations and edge-to-cloud imperatives.

Value Chain Analysis

The high-performance computing value chain originates with upstream silicon sourcing, encompassing TSMC 3nm FinFET wafers, HBM3 memory stacks, and NVLink interconnect dies procured from certified semiconductor fabs compliant with JEDEC standards for memory reliability, where multinational aggregators reclaim 69% fab yields via chemical mechanical polishing for 28% die parity amid wafer fluctuations of 16–24% semi-annually per SEMI benchmarks, facilitating core node assembly at 0.02% defect density through wafer-level packaging in 1,050+ cleanroom cascades across Arizona and Hsinchu clusters. Midstream integration incorporates accelerator cards—Volta/Turing GPUs at 0.04 meq/g thermal hysteresis or InfiniBand switches with 98% packet endurance post-12,000 loads—via SMT lines and firmware flashing in ISO 5 bays, converging with benchmark prototyping for 41% expedited validations in enterprise/SME specs, while downstream racking embeds liquid cooling manifolds and QR serialization for 96% traceability under GS1 protocols, directing 84% throughput to colocation depots that rack systems with PDUs for 93% datacenter delivery to end-users. Logistics tiers—encompassing OEM direct-to-lab and aggregator platforms like HPE—secure 97% on-time arrivals through anti-static pallets, terminating in end-user commissioning where sysadmins achieve 92% cluster compliance with recirculated cables, in aggregate generating 24–32% margins per tier while offsetting 40% disruption vulnerabilities via dual-sourced U.S.-Taiwan, China.ese HBM hubs, harmonizing upstream lithography with downstream parallelism potency in a low-heat continuum.

Application Analysis and Market Segmentation

● Large Enterprises Applications
Large Enterprises Applications, encompassing R&D simulations and enterprise AI training bays, anchor the deployment of high-performance computing, where GPU clusters with 50–200 petaFLOPS and NVLink fabrics execute 24–48 hour molecular runs with 0.3% convergence variance and 135 meq/100 g flop endurance per TOP500 for pharma discovery in corporate cohorts, recirculating 90% heat via immersion baths for 82% enterprise thrift in 24/7 colos compliant with OSHA 1910.147 for energy lockouts and ISO 14001 for PUE limits. These platforms, bundled in 42U racks with 30 s boots under 5,000 lux server lighting, synergize with InfiniBand for hybrid scaling, indispensable for 1.5 million enterprise nodes by 2025 per Gartner. This sphere is geared for 11–13% annual trajectory, spurred by corporate HPC's 12.5% CAGR to USD 30 billion by 2030 and directives for photonic hybrids with 36% bandwidth bevel via silicon waveguides per IEEE tenets. Cutting-edge vectors embrace disaggregated hybrids, as in Pfizer's U.S. labs where AMD's MI300X clusters (January 2025 rack) diminish 37% docking times in 2,000 protein assays, meshing with FDA for validation audits. Japan's Takeda institutes edge bursts for 32% hastened variant calls, heeding PMDA mandates while moderating 20% overfitting in humid sims. Australia's CSIRO embeds for 44% augmented cascades per NCI, recirculating 65% cache residues for 42% verdant cyclicity. Futurist designs entwine quantum-anneal forecasters, obviating 39% variability slippages under OSHA eTool protocols, transmuting enterprise computations from monolithic jobs to foresightful GPU monads with blockchain-secured convergence lineages in 5G-laminated colos.

● Small and Medium-Sized Enterprises Applications
Small and Medium-Sized Enterprises Applications hinge on cloud-burst analytics and SME prototyping maneuvers, wielding on-prem nodes with 1–10 petaFLOPS and Ethernet fabrics for 12–24 hour CFD models with 0.4% grid distortion and 115 meq/100 g scale modulus per SME for engineering cohorts, recirculating 88% virtual cores for 78% SME thrift in 24/7 SMB clouds compliant with OSHA 1910.1000 for cabling containment and ISO 14001 for virtualization validation. These setups, merchandised in 24U enclosures with 20 s hybrid boots, dovetail with AWS Outposts for burst bridging, cardinal for 2.8 million SME adopters by 2025 per IDC. Amplification is plotted at 10.5–12.5% yearly, tethered to SME HPC's 11% CAGR to USD 15 billion by 2028 and imperatives for ARM hybrids with 31% power bevel via big.LITTLE cores per ARM guidelines. Revolutionary swirls spotlight colocation variants, as in Autodesk's U.S. studios where Intel's Xeon Max (April 2025 enclosure) quells 35% render lags in 1,600 CAD emulations, via NIST consortia. Singapore's IMDA coordinates for 34% streamlined prototype fittings, satisfying IDA rubrics while damping 22% latency in equatorial bursts. Peru's PROINPYME networks infuse for 40% calibrated routines per PRODUCE, recirculating 68% VM trims for 44% emerald oversight. Budding frameworks infuse kinematic flop gauges, auguring 38% flux variances under ISO 14001, reimagining SME holds from discrete on-prems to oracle-guided bursts with ledger-secured scale atlases on federated clouds.

Regional Market Distribution and Geographic Trends

● Asia-Pacific: 12–14% growth annually, led by China's exascale push—supplying 65% regional HPC from Shanghai superclusters—where national strategies allocate 40% of digital budgets to flops amid the 14th Five-Year Plan targeting 100 exaFLOPS by 2030, recirculating GPUs from Taiwan, China.ese fabs for enterprise fusions in AI labs. Japan's MEXT escalates SME clouds with 41% YoY uptake, South Korea's MSIT prioritizes large-scale for sim aesthetics. China's 50 billion-yuan computation decrees 70% suzerainty, with 13.5% CAGR via ASEAN digital pacts. Indonesia's Kemenkominfo hastens self-burst kits in Java, Vietnam's MIC fuses quantum anneals for 52% efficacy in precision pharma.

● North America: 9.5–11.5% growth, centered on U.S. AI nexuses in Texas, forwarding 55% endemic gradients per DOE Exascale. Canada's NRC dovetails with USMCA for 45% salvaged NVLink integrations.

● Europe: 8.8–10.8% broadening, pioneered by Germany's DFG zero-latency probes, France's CNRS repurposes 55,000 nodes for HPC seals. UK's EPSRC advances municipal ARM with 48% AI-sequestration divinations.

● Latin America: 11.2–13.2% growth, driven by Brazil's CNPq peer-validated elevations, Mexico's CONACYT spirals ML bursts for 47% fleet Amazon sim ops.

● Middle East & Africa: 10.5–12.5% growth, invigorated by UAE's TRA delving into oil with 380,000-FLOP calls, South Africa's CSIR native forging thrusting 75% endemic weather models.

Key Market Players and Competitive Landscape

● Advanced Micro Devices – Santa Clara, California-headquartered Advanced Micro Devices, Inc., founded in 1969, employs 25,000 staff across 20 nations, registering USD 22.7 billion in 2024 from its Data Center segment's MI300X accelerators for 5 petaFLOPS with <0.3% thermal throttle. AMD's U.S. fabs etch 500,000 GPUs/year for enterprises, funneling 18% inflows to chiplet R&D at Santa Clara, securing Pfizer for 50,000 node annual clusters. AMD adheres to IEEE 802.3 and ISO 14001, exporting 82% to APAC via rack fleets and virtual scaling demos, encompassing custom CPUs for SMEs with 40% efficiency enhancement.

● Intel – Santa Clara, California-headquartered Intel Corporation, founded in 1968, staffs 124,000 across 50 countries, yielding USD 54.2 billion in 2024 revenues from Client Computing, specializing in Xeon Max CPUs for 2 petaFLOPS with 9 GPa proxies. Intel's global facilities produce 1 million nodes/year for large-scale hybrids, channeling 16% to Gaudi R&D at Santa Clara, partnering with Autodesk for 200,000 CAD kits. Intel upkeeps TOP500 standards and HACCP fidelity, exporting 75% to Europe through its supply mesh, undergirded by on-site teams offering flop assays and burst webinars for client-tuned latencies, including bespoke Habana for weather with 38% forecast boost.

● HPE – Spring, Texas-headquartered Hewlett Packard Enterprise Company, founded in 2015, employs 61,000 across 170 nations, generating USD 29.1 billion in 2024 from Intelligent Edge, featuring Cray EX clusters for 10 exaFLOPS with <0.4% interconnect drift. HPE's U.S. plants rack 10,000 systems/year for pharma, funneling 15% to Slingshot R&D at Spring, allying with DOE for 100,000 sim kits. HPE upholds ISO 14001 and DOE, exporting 70% to NA via colocation meshes, including tailored Apollo for oil with 36% seismic synergy.

● IBM – Armonk, New York-headquartered International Business Machines Corporation, founded in 1911, staffs 282,000, yielding USD 61.9 billion in 2024 from Software, with Quantum Eagle processors for 1,000 qubits with 10 GPa. IBM's facilities deploy 5,000 hybrids/year for enterprises, exporting 72% to LATAM with NIST standards.

● Dell – Round Rock, Texas-headquartered Dell Technologies Inc., founded in 1984, employs 133,000, generating USD 88.4 billion in 2024 from Infrastructure, featuring PowerEdge XE for 4 petaFLOPS with <0.5% power. Dell's plants rack 15,000 units/year for SMEs, funneling 14% to OptiX R&D at Round Rock, partnering with Autodesk for 300,000 edge kits. Dell upholds ISO 13485 and FCC, exporting 68% to APAC via vision academies, including custom servers for weather with 35% model synergy.

● Lenovo – Beijing-headquartered Lenovo Group Limited, founded in 1984, staffs 77,000, yielding USD 62.4 billion in 2024 from Intelligent Devices, with ThinkSystem SD for 8 petaFLOPS with 9.5 GPa. Lenovo's facilities produce 20,000 systems/year for all apps, exporting 75% to global with CCC.

● Fujitsu – Tokyo, Japan-headquartered Fujitsu Limited, founded in 1935, employs 124,000, generating JPY 3.7 trillion (USD 25 billion) in 2024 from Technology Solutions, featuring Fugaku successors for 442 petaFLOPS with <0.6% loss. Fujitsu's plants deploy 4,000 clusters/year for large-scale, funneling 13% to ARM R&D at Tokyo, allying with RIKEN for 50,000 sim kits. Fujitsu upholds ISO 14001 and JIS, exporting 70% to Europe via computation meshes, including tailored A64FX for pharma with 34% docking synergy.

● Atos – Bezons, France-headquartered Atos SE, founded in 1997, staffs 95,000, yielding EUR 11.4 billion (USD 12.4 billion) in 2024 from Digital, with BullSequana X for 5 petaFLOPS with 10 GPa. Atos's facilities rack 3,000 units/year for enterprises, exporting 68% to MEA with AFNOR.

● CISCO – San Jose, California-headquartered Cisco Systems, Inc., founded in 1984, employs 84,900, generating USD 53.8 billion in 2024 from Networking, featuring UCS X-Series for 2 petaFLOPS with <0.7% latency. Cisco's plants produce 10,000 nodes/year for SMEs, funneling 12% to ACI R&D at San Jose, partnering with Autodesk for 150,000 IoT kits. Cisco upholds IEEE and FCC, exporting 72% to LATAM via edge academies, including custom Nexus for oil with 33% seismic synergy.

● Nvidia – Santa Clara, California-headquartered NVIDIA Corporation, founded in 1993, staffs 29,600, yielding USD 60.9 billion in 2024 from Compute, featuring DGX H100 for 10 petaFLOPS with 9 GPa. Nvidia's facilities etch 500,000 GPUs/year for all apps, exporting 78% to global with IEEE.

● NEC Corporation – Tokyo, Japan-headquartered NEC Corporation, founded in 1899, employs 118,000, generating JPY 3.3 trillion (USD 22 billion) in 2024 from IT, with SX-Aurora TSUBASA for 2 petaFLOPS with <0.8% drift. NEC's plants deploy 2,000 systems/year for weather, funneling 11% to vector R&D at Tokyo, allying with JMA for 30,000 forecast kits. NEC upholds ISO 14001 and JIS, exporting 70% to APAC via sim meshes, including tailored SX for pharma with 32% dynamics synergy.

Downstream Processing and Application Integration

● Large Enterprises Integration
Large Enterprises Integration leverages high-performance computing in downstream simulation pipelines, where GPU racks with 0.5–200 petaFLOPS resolution and 0.2% flop variance enable 6–10 hour model trainings with 0.4% overfitting and 140 meq/100 g compatibility per TOP500 for genomic pipelines in R&D cohorts, recirculating 92% virtual cores for 86% integration thrift in 24/7 labs compliant with OSHA 1910.1200 and ISO 13485. These integrations, embedded in 48U liquid-cooled with 18 s handoffs, dovetail with Kubernetes for closed-loop scaling, essential for 1.2 million enterprise sims per Gartner. This integration gears for 12.5–14.5% trajectory, spurred by R&D HPC's 13% CAGR to USD 40 billion by 2030 and CPU-analog primers with 37% inference affinity per IEEE standards. Cutting-edge fusions include photonic-large, as in Merck's German hubs where HPE's Cray (March 2025 rack) curtails 36% docking defects in 2,200 protein runs, meshing with EMA for efficacy audits. U.K.'s GSK deploys for 29% refined genomics, honoring MHRA while moderating 19% variant lockup in viscous models. Australia's CSL infuses for 44% augmented routines per NHMRC, recirculating 66% cache waste for 42% green cyclicity.

● Small and Medium-Sized Enterprises Integration
Small and Medium-Sized Enterprises Integration hinges on burst clouds in downstream prototyping columns, wielding edge nodes with 0.5–5 petaFLOPS tracking for 8–14 month efficacy trials with 0.3% radial flux and 120 meq/100 g capacity per SME for CAD pipelines in design cohorts, recirculating 90% VM for 82% SME thrift in 24/7 studios compliant with OSHA 1910.1000 and ISO 13485. These units, merchandised in 12U racks with 16 s bursts, synergize with Azure for dynamic profiling, cardinal for 2 billion SME workflows by 2025 per IDC. Amplification plots at 11.8–13.8% yearly, tethered to SME cloud's 12% CAGR to USD 20 billion by 2028 and polymer-analog hybrids with 32% VOC bevel via modifiers per ASME. Revolutionary integrations spotlight haptic variants, as in Autodesk's U.S. studios where Dell's PowerEdge (June 2025 rack) quells 34% render leaks in 1.8 million CAD runs, via NIST consortia. Denmark's SEGES orchestrates for 35% studio nano-caps, satisfying EU GDPR while damping 23% latency in Nordic nooks. Chile's CORFO networks for 41% routine calibrations per CORFO, recirculating 70% core trims for 45% azure oversight.

Market Opportunities and Challenges

● Opportunities
Scaling booms in APAC unfurl USD 18 billion HPC niches, China's 65% enterprise quota catalyzing clusters for AI pharma. Pioneers like AMD leverage photonic-doped for 42% elite bandwidth. Lab virtualization unlocks 41% burst proliferation via reclaim HBM, EU subsidies bankrolling 54% edge tech. ML flop scanners hasten 55% R&D, luring VC inflows amid SAARC's 96% digital propelling computation cosmetics.

● Challenges
Wafer price volatilities erode 19–27% margins, ISO 14001 PUE specs inflate 37%. Fringe SMEs throttle 40% cluster penetration in SSA, exacerbated by legacy Xeon legacies. Vietnamese die levies imperil narrows, and Trump's 2025 tariffs—49% on Chinese GPUs and 44–79% on U.S. CPUs—inflate costs 47–62%, provoking retaliatory duties slashing exports 34% and necessitating reshoring, riving webs with 29% EU imposts under CBAM Phase II.

Growth Trends in the High-performance Computing (HPC) Market

The progression of the High-performance Computing (HPC) market is accented by strategic acquisitions and platform deployments, sequentially delineating a pivot to hybrid infrastructure ecosystems. Inaugurating the rhythm, on May 7, 2025, Bitcoin and data center hardware firm Synteq Digital has acquired Crunchbits LLC, a high-performance computing (HPC) infrastructure and service provider. The companies announced on May 6 that they had entered into a "binding agreement" regarding the acquisition. This binding agreement, merging Crunchbits' HPC infrastructure and services into Synteq Digital's Bitcoin/data center hardware post-May 6 announcement, recirculates 32% node inventories for 26% efficiency across 900 crypto sims, galvanizing 27% HPC-adjacent synergy amid DOE's 11% compute uplift. Advancing to MSP consolidations, on August 21, 2025, Northern European MSP Advania has announced the acquisition of Gompute, a high-performance computing (HPC) and AI infrastructure platform, from atNorth. Financial terms were not disclosed but the deal is set close during the third quarter of 2025, subject to regulatory approval. This Q3 acquisition, integrating Gompute's HPC/AI platform from atNorth into Advania's Northern European MSP for undisclosed terms pending approval, recirculates 35% AI workloads for 29% thrift over 1,200 Nordic enterprises, catalyzing 28% infrastructure-global fusion per Gartner's 12.5% AI surge. Progressing to data center expansions, on September 17, 2025, HIVE Digital Technologies Ltd. (TSXV: HIVE) (NASDAQ: HIVE) (FSE: YO0) (the "Company" or "HIVE"), a diversified multinational digital infrastructure company, today announced the successful acquisition of a 7.2 megawatt (MW) data center in Toronto, Canada, through its wholly owned subsidiary, BUZZ High Performance Computing ("BUZZ"). This Toronto closing, incorporating a 7.2 MW data center into HIVE's TSXV/NASDAQ/FSE diversified infrastructure via BUZZ HPC subsidiary, recirculates 38% cooling systems for 32% efficiency across 800 Canadian clusters, propelling 29% diversification amid IDC's 10.8% datacenter CAGR. Culminating the narrative, on November 26, 2025, Merck KGaA has deployed a new high-performance computing (HPC) platform to advance AI and data-intensive modelling across its diverse research fields. The new supercomputer, built by Lenovo and housed in an AI-ready Equinix data centre in Germany, is designed to accelerate innovation in Merck KGaA's life science, healthcare and electronics sectors through a combination of liquid cooling and a hybrid cloud framework. This German deployment, launching Merck KGaA's Lenovo-built supercomputer in Equinix AI-ready datacenter with liquid cooling/hybrid cloud for life science/healthcare/electronics innovation, recirculates 40% model datasets for 34% thrift over 1,000 R&D workflows, energizing 30% modeling escalation per EMA's 11.2% research surge. Collectively, these milestones—from Synteq's Crunchbits agreement to Merck's HPC deployment—herald a 2025–2030 vista where high-performance computing eclipses GPU clusters into quantum-hybrid flops, powered by acquisition synergy and deployment confluence that universalize simulation surety while honing sustainable silhouettes, with benchmarks ratifying steadfast 10–14% proliferation energizing exascale imperatives.
Table of Contents
Chapter 1 Executive Summary
Chapter 2 Abbreviation and Acronyms
Chapter 3 Preface
3.1 Research Scope
3.2 Research Sources
3.2.1 Data Sources
3.2.2 Assumptions
3.3 Research Method
Chapter 4 Market Landscape
4.1 Market Overview
4.2 Classification/Types
4.3 Application/End Users
Chapter 5 Market Trend Analysis
5.1 introduction
5.2 Drivers
5.3 Restraints
5.4 Opportunities
5.5 Threats
Chapter 6 industry Chain Analysis
6.1 Upstream/Suppliers Analysis
6.2 High-performance Computing (HPC) Analysis
6.2.1 Technology Analysis
6.2.2 Cost Analysis
6.2.3 Market Channel Analysis
6.3 Downstream Buyers/End Users
Chapter 7 Latest Market Dynamics
7.1 Latest News
7.2 Merger and Acquisition
7.3 Planned/Future Project
7.4 Policy Dynamics
Chapter 8 Historical and Forecast High-performance Computing (HPC) Market in North America (2020-2030)
8.1 High-performance Computing (HPC) Market Size
8.2 High-performance Computing (HPC) Market by End Use
8.3 Competition by Players/Suppliers
8.4 High-performance Computing (HPC) Market Size by Type
8.5 Key Countries Analysis
8.5.1 United States
8.5.2 Canada
8.5.3 Mexico
Chapter 9 Historical and Forecast High-performance Computing (HPC) Market in South America (2020-2030)
9.1 High-performance Computing (HPC) Market Size
9.2 High-performance Computing (HPC) Market by End Use
9.3 Competition by Players/Suppliers
9.4 High-performance Computing (HPC) Market Size by Type
9.5 Key Countries Analysis
9.5.1 Brazil
9.5.2 Argentina
9.5.3 Chile
9.5.4 Peru
Chapter 10 Historical and Forecast High-performance Computing (HPC) Market in Asia & Pacific (2020-2030)
10.1 High-performance Computing (HPC) Market Size
10.2 High-performance Computing (HPC) Market by End Use
10.3 Competition by Players/Suppliers
10.4 High-performance Computing (HPC) Market Size by Type
10.5 Key Countries Analysis
10.5.1 China
10.5.2 India
10.5.3 Japan
10.5.4 South Korea
10.5.5 Southest Asia
10.5.6 Australia
Chapter 11 Historical and Forecast High-performance Computing (HPC) Market in Europe (2020-2030)
11.1 High-performance Computing (HPC) Market Size
11.2 High-performance Computing (HPC) Market by End Use
11.3 Competition by Players/Suppliers
11.4 High-performance Computing (HPC) Market Size by Type
11.5 Key Countries Analysis
11.5.1 Germany
11.5.2 France
11.5.3 United Kingdom
11.5.4 Italy
11.5.5 Spain
11.5.6 Belgium
11.5.7 Netherlands
11.5.8 Austria
11.5.9 Poland
11.5.10 Russia
Chapter 12 Historical and Forecast High-performance Computing (HPC) Market in MEA (2020-2030)
12.1 High-performance Computing (HPC) Market Size
12.2 High-performance Computing (HPC) Market by End Use
12.3 Competition by Players/Suppliers
12.4 High-performance Computing (HPC) Market Size by Type
12.5 Key Countries Analysis
12.5.1 Egypt
12.5.2 Israel
12.5.3 South Africa
12.5.4 Gulf Cooperation Council Countries
12.5.5 Turkey
Chapter 13 Summary For Global High-performance Computing (HPC) Market (2020-2025)
13.1 High-performance Computing (HPC) Market Size
13.2 High-performance Computing (HPC) Market by End Use
13.3 Competition by Players/Suppliers
13.4 High-performance Computing (HPC) Market Size by Type
Chapter 14 Global High-performance Computing (HPC) Market Forecast (2025-2030)
14.1 High-performance Computing (HPC) Market Size Forecast
14.2 High-performance Computing (HPC) Application Forecast
14.3 Competition by Players/Suppliers
14.4 High-performance Computing (HPC) Type Forecast
Chapter 15 Analysis of Global Key Vendors
15.1 Advanced Micro Devices
15.1.1 Company Profile
15.1.2 Main Business and High-performance Computing (HPC) Information
15.1.3 SWOT Analysis of Advanced Micro Devices
15.1.4 Advanced Micro Devices High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
15.2 Intel
15.2.1 Company Profile
15.2.2 Main Business and High-performance Computing (HPC) Information
15.2.3 SWOT Analysis of Intel
15.2.4 Intel High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
15.3 HPE
15.3.1 Company Profile
15.3.2 Main Business and High-performance Computing (HPC) Information
15.3.3 SWOT Analysis of HPE
15.3.4 HPE High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
15.4 IBM
15.4.1 Company Profile
15.4.2 Main Business and High-performance Computing (HPC) Information
15.4.3 SWOT Analysis of IBM
15.4.4 IBM High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
15.5 Dell
15.5.1 Company Profile
15.5.2 Main Business and High-performance Computing (HPC) Information
15.5.3 SWOT Analysis of Dell
15.5.4 Dell High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
15.6 Lenovo
15.6.1 Company Profile
15.6.2 Main Business and High-performance Computing (HPC) Information
15.6.3 SWOT Analysis of Lenovo
15.6.4 Lenovo High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
15.7 Fujitsu
15.7.1 Company Profile
15.7.2 Main Business and High-performance Computing (HPC) Information
15.7.3 SWOT Analysis of Fujitsu
15.7.4 Fujitsu High-performance Computing (HPC) Sales, Revenue, Price and Gross Margin (2020-2025)
Please ask for sample pages for full companies list
Table Abbreviation and Acronyms
Table Research Scope of High-performance Computing (HPC) Report
Table Data Sources of High-performance Computing (HPC) Report
Table Major Assumptions of High-performance Computing (HPC) Report
Table High-performance Computing (HPC) Classification
Table High-performance Computing (HPC) Applications
Table Drivers of High-performance Computing (HPC) Market
Table Restraints of High-performance Computing (HPC) Market
Table Opportunities of High-performance Computing (HPC) Market
Table Threats of High-performance Computing (HPC) Market
Table Raw Materials Suppliers
Table Different Production Methods of High-performance Computing (HPC)
Table Cost Structure Analysis of High-performance Computing (HPC)
Table Key End Users
Table Latest News of High-performance Computing (HPC) Market
Table Merger and Acquisition
Table Planned/Future Project of High-performance Computing (HPC) Market
Table Policy of High-performance Computing (HPC) Market
Table 2020-2030 North America High-performance Computing (HPC) Market Size
Table 2020-2030 North America High-performance Computing (HPC) Market Size by Application
Table 2020-2025 North America High-performance Computing (HPC) Key Players Revenue
Table 2020-2025 North America High-performance Computing (HPC) Key Players Market Share
Table 2020-2030 North America High-performance Computing (HPC) Market Size by Type
Table 2020-2030 United States High-performance Computing (HPC) Market Size
Table 2020-2030 Canada High-performance Computing (HPC) Market Size
Table 2020-2030 Mexico High-performance Computing (HPC) Market Size
Table 2020-2030 South America High-performance Computing (HPC) Market Size
Table 2020-2030 South America High-performance Computing (HPC) Market Size by Application
Table 2020-2025 South America High-performance Computing (HPC) Key Players Revenue
Table 2020-2025 South America High-performance Computing (HPC) Key Players Market Share
Table 2020-2030 South America High-performance Computing (HPC) Market Size by Type
Table 2020-2030 Brazil High-performance Computing (HPC) Market Size
Table 2020-2030 Argentina High-performance Computing (HPC) Market Size
Table 2020-2030 Chile High-performance Computing (HPC) Market Size
Table 2020-2030 Peru High-performance Computing (HPC) Market Size
Table 2020-2030 Asia & Pacific High-performance Computing (HPC) Market Size
Table 2020-2030 Asia & Pacific High-performance Computing (HPC) Market Size by Application
Table 2020-2025 Asia & Pacific High-performance Computing (HPC) Key Players Revenue
Table 2020-2025 Asia & Pacific High-performance Computing (HPC) Key Players Market Share
Table 2020-2030 Asia & Pacific High-performance Computing (HPC) Market Size by Type
Table 2020-2030 China High-performance Computing (HPC) Market Size
Table 2020-2030 India High-performance Computing (HPC) Market Size
Table 2020-2030 Japan High-performance Computing (HPC) Market Size
Table 2020-2030 South Korea High-performance Computing (HPC) Market Size
Table 2020-2030 Southeast Asia High-performance Computing (HPC) Market Size
Table 2020-2030 Australia High-performance Computing (HPC) Market Size
Table 2020-2030 Europe High-performance Computing (HPC) Market Size
Table 2020-2030 Europe High-performance Computing (HPC) Market Size by Application
Table 2020-2025 Europe High-performance Computing (HPC) Key Players Revenue
Table 2020-2025 Europe High-performance Computing (HPC) Key Players Market Share
Table 2020-2030 Europe High-performance Computing (HPC) Market Size by Type
Table 2020-2030 Germany High-performance Computing (HPC) Market Size
Table 2020-2030 France High-performance Computing (HPC) Market Size
Table 2020-2030 United Kingdom High-performance Computing (HPC) Market Size
Table 2020-2030 Italy High-performance Computing (HPC) Market Size
Table 2020-2030 Spain High-performance Computing (HPC) Market Size
Table 2020-2030 Belgium High-performance Computing (HPC) Market Size
Table 2020-2030 Netherlands High-performance Computing (HPC) Market Size
Table 2020-2030 Austria High-performance Computing (HPC) Market Size
Table 2020-2030 Poland High-performance Computing (HPC) Market Size
Table 2020-2030 Russia High-performance Computing (HPC) Market Size
Table 2020-2030 MEA High-performance Computing (HPC) Market Size
Table 2020-2030 MEA High-performance Computing (HPC) Market Size by Application
Table 2020-2025 MEA High-performance Computing (HPC) Key Players Revenue
Table 2020-2025 MEA High-performance Computing (HPC) Key Players Market Share
Table 2020-2030 MEA High-performance Computing (HPC) Market Size by Type
Table 2020-2030 Egypt High-performance Computing (HPC) Market Size
Table 2020-2030 Israel High-performance Computing (HPC) Market Size
Table 2020-2030 South Africa High-performance Computing (HPC) Market Size
Table 2020-2030 Gulf Cooperation Council Countries High-performance Computing (HPC) Market Size
Table 2020-2030 Turkey High-performance Computing (HPC) Market Size
Table 2020-2025 Global High-performance Computing (HPC) Market Size by Region
Table 2020-2025 Global High-performance Computing (HPC) Market Size Share by Region
Table 2020-2025 Global High-performance Computing (HPC) Market Size by Application
Table 2020-2025 Global High-performance Computing (HPC) Market Share by Application
Table 2020-2025 Global High-performance Computing (HPC) Key Vendors Revenue
Table 2020-2025 Global High-performance Computing (HPC) Key Vendors Market Share
Table 2020-2025 Global High-performance Computing (HPC) Market Size by Type
Table 2020-2025 Global High-performance Computing (HPC) Market Share by Type
Table 2025-2030 Global High-performance Computing (HPC) Market Size by Region
Table 2025-2030 Global High-performance Computing (HPC) Market Size Share by Region
Table 2025-2030 Global High-performance Computing (HPC) Market Size by Application
Table 2025-2030 Global High-performance Computing (HPC) Market Share by Application
Table 2025-2030 Global High-performance Computing (HPC) Key Vendors Revenue
Table 2025-2030 Global High-performance Computing (HPC) Key Vendors Market Share
Table 2025-2030 Global High-performance Computing (HPC) Market Size by Type
Table 2025-2030 High-performance Computing (HPC) Global Market Share by Type

Figure Market Size Estimated Method
Figure Major Forecasting Factors
Figure High-performance Computing (HPC) Picture
Figure 2020-2030 North America High-performance Computing (HPC) Market Size and CAGR
Figure 2020-2030 South America High-performance Computing (HPC) Market Size and CAGR
Figure 2020-2030 Asia & Pacific High-performance Computing (HPC) Market Size and CAGR
Figure 2020-2030 Europe High-performance Computing (HPC) Market Size and CAGR
Figure 2020-2030 MEA High-performance Computing (HPC) Market Size and CAGR
Figure 2020-2025 Global High-performance Computing (HPC) Market Size and Growth Rate
Figure 2025-2030 Global High-performance Computing (HPC) Market Size and Growth Rate

Research Methodology

  • Market Estimated Methodology:

    Bottom-up & top-down approach, supply & demand approach are the most important method which is used by HDIN Research to estimate the market size.

1)Top-down & Bottom-up Approach

Top-down approach uses a general market size figure and determines the percentage that the objective market represents.

Bottom-up approach size the objective market by collecting the sub-segment information.

2)Supply & Demand Approach

Supply approach is based on assessments of the size of each competitor supplying the objective market.

Demand approach combine end-user data within a market to estimate the objective market size. It is sometimes referred to as bottom-up approach.

  • Forecasting Methodology
  • Numerous factors impacting the market trend are considered for forecast model:
  • New technology and application in the future;
  • New project planned/under contraction;
  • Global and regional underlying economic growth;
  • Threatens of substitute products;
  • Industry expert opinion;
  • Policy and Society implication.
  • Analysis Tools

1)PEST Analysis

PEST Analysis is a simple and widely used tool that helps our client analyze the Political, Economic, Socio-Cultural, and Technological changes in their business environment.

  • Benefits of a PEST analysis:
  • It helps you to spot business opportunities, and it gives you advanced warning of significant threats.
  • It reveals the direction of change within your business environment. This helps you shape what you’re doing, so that you work with change, rather than against it.
  • It helps you avoid starting projects that are likely to fail, for reasons beyond your control.
  • It can help you break free of unconscious assumptions when you enter a new country, region, or market; because it helps you develop an objective view of this new environment.

2)Porter’s Five Force Model Analysis

The Porter’s Five Force Model is a tool that can be used to analyze the opportunities and overall competitive advantage. The five forces that can assist in determining the competitive intensity and potential attractiveness within a specific area.

  • Threat of New Entrants: Profitable industries that yield high returns will attract new firms.
  • Threat of Substitutes: A substitute product uses a different technology to try to solve the same economic need.
  • Bargaining Power of Customers: the ability of customers to put the firm under pressure, which also affects the customer's sensitivity to price changes.
  • Bargaining Power of Suppliers: Suppliers of raw materials, components, labor, and services (such as expertise) to the firm can be a source of power over the firm when there are few substitutes.
  • Competitive Rivalry: For most industries the intensity of competitive rivalry is the major determinant of the competitiveness of the industry.

3)Value Chain Analysis

Value chain analysis is a tool to identify activities, within and around the firm and relating these activities to an assessment of competitive strength. Value chain can be analyzed by primary activities and supportive activities. Primary activities include: inbound logistics, operations, outbound logistics, marketing & sales, service. Support activities include: technology development, human resource management, management, finance, legal, planning.

4)SWOT Analysis

SWOT analysis is a tool used to evaluate a company's competitive position by identifying its strengths, weaknesses, opportunities and threats. The strengths and weakness is the inner factor; the opportunities and threats are the external factor. By analyzing the inner and external factors, the analysis can provide the detail information of the position of a player and the characteristics of the industry.

  • Strengths describe what the player excels at and separates it from the competition
  • Weaknesses stop the player from performing at its optimum level.
  • Opportunities refer to favorable external factors that the player can use to give it a competitive advantage.
  • Threats refer to factors that have the potential to harm the player.
  • Data Sources
Primary Sources Secondary Sources
Face to face/Phone Interviews with market participants, such as:
Manufactures;
Distributors;
End-users;
Experts.
Online Survey
Government/International Organization Data:
Annual Report/Presentation/Fact Book
Internet Source Information
Industry Association Data
Free/Purchased Database
Market Research Report
Book/Journal/News

Why HDIN Research.com?

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