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市场调查报告书
商品编码
1889220
高效能运算 (HPC) 市场预测至 2032 年:按组件、部署模式、运算类型、组织规模、最终用户和地区分類的全球分析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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根据 Stratistics MRC 的一项研究,预计到 2025 年,全球高效能运算 (HPC) 市场价值将达到 618.5 亿美元,到 2032 年将达到 1,300.4 亿美元,在预测期内的复合年增长率为 11.2%。
高效能运算 (HPC) 是一种利用先进处理器、高速互连和平行运算技术来快速处理大规模、运算密集型任务的技术。透过连接大量高速运算节点,HPC 平台每秒可执行数兆次运算。这项技术有助于加速模拟、分析和复杂建模,因此对于需要强大处理能力的领域至关重要,例如科学研究、工程设计、天气预报、生物医学研究和财务分析。
产业分析师预测,2023年美国将达成209笔资料中心交易,2021年总金额超过480亿美元,比2020年的340亿美元成长40%。 2022年上半年将达成87笔交易,总金额达242亿美元。
对复杂模拟和调查的需求日益增长
随着各行业对先进模拟和建模技术的依赖日益加深,高效能运算 (HPC) 的需求也随之增长。航太、汽车和能源等产业正在利用 HPC 加速创新并缩短研发週期。基因组学、气候建模和粒子物理等领域的研究需要强大的运算能力来处理复杂的资料集。人工智慧和机器学习工作负载也在不断挑战传统运算的极限,使得 HPC 变得至关重要。随着各机构在药物研发和材料科学领域取得突破性进展,HPC 系统能够提供必要的规模和精确度。这种对运算强度的日益增长的需求正在推动 HPC 解决方案在全球范围内的普及应用。
技术纯熟劳工和专业技术人才短缺
部署和管理高效能运算 (HPC) 系统需要平行编程、系统结构和进阶演算法方面的专业知识。许多公司难以找到具备超级运算和资料密集型研究专业知识的人才。这种人才缺口往往导致实施延误,并增加对外部顾问的依赖。 HPC 技术的不断进步需要持续的培训,而许多组织发现维持这种培训十分困难。缺乏内部专业知识仍然是有效扩展 HPC倡议的重大障碍。
云端基础运算的兴起
如今,企业和研究机构无需在本地基础设施上投入大量资金,即可运行复杂的工作负载。云端服务供应商正在扩展其GPU丛集和专用高效能运算执行个体的产品,以支援各种应用。这种柔软性正在推动精准医疗、金融建模和自主系统等领域的创新。新兴经济体也积极采用云端高效能运算来规避传统基础设施的限制。随着云端运算的普及,高效能运算即服务(HPCaaS)的激增正在为各行各业带来巨大的成长潜力。
硬体快速过时
随着新世代产品的出现,尖端处理器、GPU 和互连技术很快就会过时。在高效能运算 (HPC) 基础架构方面投入巨资的企业往往面临高昂的更新换代成本。这种持续不断的升级循环会对预算造成压力,并使长期规划变得复杂。供应商必须在创新和向下相容性之间取得平衡,以减少中断。如果缺乏周密的生命週期管理,企业可能会因硬体过时而失去竞争优势。
疫情凸显了高效能运算(HPC)在支援紧急研究和远端协作方面的重要性。医疗机构依赖HPC加速疫苗研发和基因组分析。供应链中断和封锁措施促使企业采用云端基础的HPC来增强自身韧性。大学和研究机构扩大了HPC的应用范围,用于模拟病毒传播并优化治疗策略。这次危机也暴露了灾害復原计画的脆弱性,促使人们重新投资于HPC的韧性建设。随着混合办公模式的日益普及,对安全、扩充性的HPC平台的依赖已成为一种常态。
预计在预测期内,硬体领域将占据最大的市场份额。
由于伺服器、处理器和加速器在实现高效能工作负载方面发挥着至关重要的作用,预计在预测期内,硬体领域将占据最大的市场份额。企业持续投资GPU、CPU和网路设备,以支援高要求的应用。量子处理器和AI优化晶片等硬体进步正在推动这些技术的应用。供应商正在全球扩展其资料中心规模,以满足对低延迟和高可用性的需求。
预计在预测期内,医疗保健和生命科学领域将实现最高的复合年增长率。
预计在预测期内,医疗保健和生命科学领域将实现最高成长率。基因组分析、药物研发和个人化医疗高度依赖运算密集型处理。高效能运算 (HPC) 使研究人员能够分析大型资料集并加速临床试验。人工智慧 (AI) 与 HPC 的融合正在变革诊断技术和预测建模。医疗服务提供者与科技公司之间的策略合作正在推动相关技术的应用。
预计北美将在预测期内占据最大的市场份额,这得益于其在超级运算基础设施和先进研究设施方面的大力投资。美国和加拿大拥有主要的高效能运算 (HPC) 供应商以及成熟的企业生态系统。政府支持科学创新和国防应用的倡议进一步推动了高效能运算的普及。医疗保健、金融和航太等行业正在利用高效能运算来获得竞争优势。
预计亚太地区在预测期内将实现最高的复合年增长率。中国、印度和日本等国家正大力投资超级运算和人工智慧驱动的研究。政府主导的措施正在推动高效能运算(HPC)在教育、医疗和製造业领域的应用。当地企业正在扩大高效能运算的应用范围,以支援数位转型和智慧城市计划。该地区对云端基础运算日益增长的需求也进一步推动了这一成长。
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.