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市場調查報告書
商品編碼
1889220
高效能運算 (HPC) 市場預測至 2032 年:按組件、部署模式、運算類型、組織規模、最終用戶和地區分類的全球分析High-Performance Computing (HPC) Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Deployment Mode, Computation Type, Organization Size, End User and By Geography |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球高效能運算 (HPC) 市場價值將達到 618.5 億美元,到 2032 年將達到 1,300.4 億美元,在預測期內的複合年成長率為 11.2%。
高效能運算 (HPC) 是一種利用先進處理器、高速互連和平行運算技術來快速處理大規模、運算密集型任務的技術。透過連接大量高速運算節點,HPC 平台每秒可執行數兆次運算。這項技術有助於加速模擬、分析和複雜建模,因此對於需要強大處理能力的領域至關重要,例如科學研究、工程設計、天氣預報、生物醫學研究和財務分析。
產業分析師預測,2023年美國將達成209筆資料中心交易,2021年總金額超過480億美元,比2020年的340億美元成長40%。 2022年上半年將達成87筆交易,總金額達242億美元。
對複雜模擬和調查的需求日益成長
隨著各行業對先進模擬和建模技術的依賴日益加深,高效能運算 (HPC) 的需求也隨之成長。航太、汽車和能源等產業正在利用 HPC 加速創新並縮短研發週期。基因組學、氣候建模和粒子物理等領域的研究需要強大的運算能力來處理複雜的資料集。人工智慧和機器學習工作負載也在不斷挑戰傳統運算的極限,使得 HPC 變得至關重要。隨著各機構在藥物研發和材料科學領域取得突破性進展,HPC 系統能夠提供必要的規模和精確度。這種對運算強度的日益成長的需求正在推動 HPC 解決方案在全球範圍內的普及應用。
技術純熟勞工和專業技術人才短缺
部署和管理高效能運算 (HPC) 系統需要平行編程、系統結構和進階演算法方面的專業知識。許多公司難以找到具備超級運算和資料密集型研究專業知識的人才。這種人才缺口往往導致實施延誤,並增加對外部顧問的依賴。 HPC 技術的不斷進步需要持續的培訓,而許多組織發現維持這種培訓十分困難。缺乏內部專業知識仍然是有效擴展 HPC舉措的重大障礙。
雲端基礎運算的興起
如今,企業和研究機構無需在本地基礎設施上投入大量資金,即可運行複雜的工作負載。雲端服務供應商正在擴展其GPU叢集和專用高效能運算執行個體的產品,以支援各種應用。這種柔軟性正在推動精準醫療、金融建模和自主系統等領域的創新。新興經濟體也積極採用雲端高效能運算來規避傳統基礎設施的限制。隨著雲端運算的普及,高效能運算即服務(HPCaaS)的激增正在為各行各業帶來巨大的成長潛力。
硬體快速過時
隨著新世代產品的出現,尖端處理器、GPU 和互連技術很快就會過時。在高效能運算 (HPC) 基礎架構方面投入巨資的企業往往面臨高昂的更新換代成本。這種持續不斷的升級循環會對預算造成壓力,並使長期規劃變得複雜。供應商必須在創新和向下相容性之間取得平衡,以減少中斷。如果缺乏周密的生命週期管理,企業可能會因硬體過時而失去競爭優勢。
疫情凸顯了高效能運算(HPC)在支援緊急研究和遠端協作方面的重要性。醫療機構依賴HPC加速疫苗研發和基因組分析。供應鏈中斷和封鎖措施促使企業採用雲端基礎的HPC來增強自身韌性。大學和研究機構擴大了HPC的應用範圍,用於模擬病毒傳播並最佳化治療策略。這次危機也暴露了災害復原計畫的脆弱性,促使人們重新投資於HPC的韌性建設。隨著混合辦公模式的日益普及,對安全、擴充性的HPC平台的依賴已成為一種常態。
預計在預測期內,硬體領域將佔據最大的市場佔有率。
由於伺服器、處理器和加速器在實現高效能工作負載方面發揮著至關重要的作用,預計在預測期內,硬體領域將佔據最大的市場佔有率。企業持續投資GPU、CPU和網路設備,以支援高要求的應用。量子處理器和AI最佳化晶片等硬體進步正在推動這些技術的應用。供應商正在全球擴展其資料中心規模,以滿足對低延遲和高可用性的需求。
預計在預測期內,醫療保健和生命科學領域將實現最高的複合年成長率。
預計在預測期內,醫療保健和生命科學領域將實現最高成長率。基因組分析、藥物研發和個人化醫療高度依賴運算密集型處理。高效能運算 (HPC) 使研究人員能夠分析大型資料集並加速臨床試驗。人工智慧 (AI) 與 HPC 的融合正在變革診斷技術和預測建模。醫療服務提供者與科技公司之間的策略合作正在推動相關技術的應用。
預計北美將在預測期內佔據最大的市場佔有率,這得益於其在超級運算基礎設施和先進研究設施方面的大力投資。美國和加拿大擁有主要的高效能運算 (HPC) 供應商以及成熟的企業生態系統。政府支持科學創新和國防應用的舉措進一步推動了高效能運算的普及。醫療保健、金融和航太等行業正在利用高效能運算來獲得競爭優勢。
預計亞太地區在預測期內將實現最高的複合年成長率。中國、印度和日本等國家正大力投資超級運算和人工智慧驅動的研究。政府主導的措施正在推動高效能運算(HPC)在教育、醫療和製造業領域的應用。當地企業正在擴大高效能運算的應用範圍,以支援數位轉型和智慧城市計劃。該地區對雲端基礎運算日益成長的需求也進一步推動了這一成長。
According to Stratistics MRC, the Global High-Performance Computing (HPC) Market is accounted for $61.85 billion in 2025 and is expected to reach $130.04 billion by 2032 growing at a CAGR of 11.2% during the forecast period. High-Performance Computing (HPC) involves deploying highly advanced processors, fast interconnects, and parallel computing methods to tackle large-scale, computation-heavy tasks quickly. By linking numerous high-speed computing nodes, HPC platforms execute trillions of operations each second. This technology supports accelerated simulations, analytics, and complex modeling, making it indispensable for sectors such as scientific studies, engineering design, weather prediction, biomedical research, and financial analysis that demand exceptional processing power.
According to an industry analyst, in 2023 there were 209 data center transactions in the U.S. with a combined value of over USD 48.0 billion in 2021, up by 40% from 2020, when it was worth USD 34.0 billion. There were 87 transactions with an overall value of USD 24.2 billion in the first half of 2022.
Increasing need for complex simulations & research
The demand for high-performance computing is rising as industries increasingly rely on advanced simulations and modeling. Sectors such as aerospace, automotive, and energy are using HPC to accelerate innovation and reduce development cycles. Scientific research in genomics, climate modeling, and particle physics requires massive computational power to process complex datasets. AI and machine learning workloads are also pushing the boundaries of traditional computing, making HPC indispensable. As organizations pursue breakthroughs in drug discovery and materials science, HPC systems provide the scale and precision needed. This growing reliance on computational intensity is fueling global adoption of HPC solutions.
Shortage of skilled labor/expertise
Deploying and managing HPC systems requires expertise in parallel programming, system architecture, and advanced algorithms. Many enterprises struggle to recruit talent with specialized knowledge in supercomputing and data-intensive research. This gap often leads to delays in implementation and increased dependence on external consultants. Continuous advancements in HPC technologies demand ongoing training, which many organizations find difficult to sustain. The lack of in-house expertise remains a significant barrier to scaling HPC initiatives effectively.
Proliferation of cloud-based HPC
Enterprises and research institutions can now run complex workloads without investing heavily in on-premise infrastructure. Cloud providers are expanding GPU clusters and specialized HPC instances to support diverse applications. This flexibility is enabling innovation in areas such as precision medicine, financial modeling, and autonomous systems. Emerging economies are also leveraging cloud HPC to bypass traditional infrastructure limitations. As cloud adoption accelerates, the proliferation of HPC-as-a-service is opening vast growth potential across industries.
Rapid hardware obsolescence
Cutting-edge processors, GPUs, and interconnects quickly become outdated as new generations emerge. Organizations investing heavily in HPC infrastructure often struggle with high replacement costs. This cycle of constant upgrades can strain budgets and complicate long-term planning. Vendors must balance innovation with backward compatibility to reduce disruption. Without careful lifecycle management, enterprises risk losing competitiveness due to obsolete hardware.
The pandemic highlighted the importance of HPC in supporting urgent research and remote collaboration. Healthcare organizations relied on HPC to accelerate vaccine development and genomic sequencing. Supply chain disruptions and lockdowns drove enterprises to adopt cloud-based HPC for resilience. Universities and research labs expanded HPC use to model virus spread and optimize treatment strategies. The crisis also exposed weaknesses in disaster recovery planning, prompting renewed investment in HPC resilience. As hybrid work models persist, reliance on secure and scalable HPC platforms has become a permanent fixture.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period, due to the foundational role of servers, processors, and accelerators in enabling high-performance workloads. Enterprises continue to invest in GPUs, CPUs, and networking equipment to support demanding applications. Hardware advancements such as quantum processors and AI-optimized chips are driving adoption. Vendors are expanding global data center footprints to meet low-latency and high-availability needs.
The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate. Genomic sequencing, drug discovery, and personalized medicine rely heavily on computational intensity. HPC enables researchers to analyze massive datasets and accelerate clinical trials. The integration of AI with HPC is transforming diagnostics and predictive modeling. Strategic collaborations between healthcare providers and technology firms are boosting adoption.
During the forecast period, the North America region is expected to hold the largest market share, due to the region benefits from strong investments in supercomputing infrastructure and advanced research facilities. The U.S. and Canada are home to leading HPC vendors and a mature enterprise ecosystem. Government initiatives supporting scientific innovation and defense applications further drive adoption. Industries such as healthcare, finance, and aerospace are leveraging HPC for competitive advantage.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Countries like China, India, and Japan are investing heavily in supercomputing and AI-driven research. Government-backed initiatives are fostering HPC adoption across education, healthcare, and manufacturing. Local enterprises are scaling HPC use to support digital transformation and smart city projects. The region's growing demand for cloud-based HPC is further accelerating growth.
Key players in the market
Some of the key players in High-Performance Computing (HPC) Market include Hewlett P., NEC Corp., Dell Technologies, Oracle Corp., Intel Corp., Cisco Systems, NVIDIA Corp., Atos SE, Advanced, Fujitsu Limited, International, Lenovo Group, Amazon Web, Google Cloud, and Microsoft.
In November 2025, Intel in collaboration with Cisco, has announced a first-of-its-kind integrated platform for distributed AI workloads. Powered by Intel(R) Xeon(R) 6 system-on-chip (SoC), the solution brings compute, networking, storage and security closer to data generated at the edge for real-time AI inferencing and agentic workloads.
In October 2025, Oracle announced collaboration with Microsoft to develop an integration blueprint to help manufacturers improve supply chain efficiency and responsiveness. The blueprint will enable organizations using Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to improve data-driven decision making and automate key supply chain processes by capturing live insights from factory equipment and sensors through Azure IoT Operations and Microsoft Fabric.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.