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市场调查报告书
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云端高效能运算 (HPC) -市场占有率分析、产业趋势与统计、成长预测 (2025-2030)

Cloud High Performance Computing (HPC) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

云端高效能运算市场规模预计到2025年为115.6亿美元，预计到2030年将达到188.6亿美元，预测期内（2025-2030年）复合年增长率为10.29%。

云端高效能运算（HPC）-市场-IMG1

巨量资料和复杂应用在各行业的出现，例如超高清工作流程和自动化电子设计模拟，正在推动市场成长。

主要亮点

  • 人工智慧、机器学习、物联网和 3D影像处理会产生大量资料，而 HPC 对于管理这些资料至关重要。体育赛事直播期间的即时资料处理、分析市场模式、追踪不断增长的风暴、测试新产品等也需要 HPC。
  • 更聪明地部署和管理微型伺服器和 HPC 系统，提供更快的处理能力、更高的效能效率和优质的服务，是推动 HPC 产业成长的关键因素。金融建模和生命科学模拟等各种工业应用中的物理模拟、最佳化和机器学习 (ML) 是 HPC 如何在及时解决复杂问题方面发挥关键作用的例子。随着电动车、自动驾驶汽车和连网汽车继续挑战汽车产业，边缘运算功能必须内建在这些市场领先的解决方案中。
  • 基因组研究正在迅速增加对高效能运算 (HPC) 设备的需求。这些技术帮助研究人员识别和分析与各种疾病和治疗反应相关的遗传变异。基因组定序检查整个基因组中所有形式的遗传变异。 HPC 系统表现出显着的速度、可靠性和准确性，支持基因组研究活动中大量定序资料的实际分析。因此，随着次世代定序（NGS）技术的采用，各种体学技术可用于研究和识别与人类健康相关的多个领域。
  • 最近，多个组织访问了 HPC 系统，引发了对资料骇客攻击的担忧。由于HPC系统脆弱，存在许多潜在的安全漏洞。此外，由于丛集环境和功能多样化，HPC系统的运作需要不同的管理系统。因此，对资料完整性和网路攻击的担忧日益增加，限制了高效能运算市场的成长。
  • 自 COVID-19 爆发以来，资料消耗和云端需求激增。这是因为企业正在推广远距工作并将工作负载转移到云端。生物科学领域对 HPC 的需求尤其强劲，因为它被用来开发疫苗和应对大流行的影响。大流行后，由于数位化和 HPC 在各种最终用户应用中的使用增加，市场正在快速成长。

云端高效能运算 (HPC) 市场趋势

云端驱动器市场中 HPC 的采用率不断提高

  • 云端 HPC 的采用预计将推动成长。传输和分析资料又增加了一层复杂性。平台必须整合组织内的所有现有资料来源，以侦测隐藏的威胁，并保留资料以做出更好的基于风险的选择。理想情况下，这将包括一个整合的搜寻程序，可以扫描所有来源（包括第三方来源）以查找威胁征兆。去年 6 月，Marvell 推出了 OCTEON 10 DPU，专为解决 5G、云端、营运商和企业资料中心应用的安全、网路和储存工作负载而设计。 Marvell 的 OCTEON 10 DPU 结合了硬体加速、资料频宽和 I/O（包括 PCIe 5.0 和 DDR5）。
  • 云端基础的解决方案正在成为各种应用程式最可行的选择之一，因为它们以相对较低的成本提供用户所需的储存和运算，但在这一领域，云端用户的资料仍然需要适当的安全措施来保护应用程式。
  • 此外，今年 2 月，IBM 与通讯咨询服务和解决方案供应商 Sentaca 签约，扩大了其在通讯服务供应商提供者领域的混合云端咨询业务，以开发可扩展、支援云端和边缘的流程自动化和流程安全解决方案。
  • 建构本地系统需要在产品许可证、设备、IT服务等方面进行大量前期投资，且成本相对较高。相较之下，云端基础的技术非常灵活且经济高效，企业无需在硬体、软体和人力资源上花费大量资金来管理这两者。
  • 根据platform9的研究，单一公共云端、混合云端和本地云已成为企业运行工作负载的主要环境。截至今年 8 月，单一公共云端部署占云端采用率的 32.1%。

亚太地区预计将成为成长最快的市场

  • 亚太地区越来越多地采用高效能运算 (HPC) 来处理大量资料并高速执行复杂的运算、分析、模拟和人工智慧 (AI)。然而，对于许多公司而言，初始资本投资过高，这为 HPC 即服务铺平了道路。在此策略中，公司不是购买或租赁硬体或软体，而是透过计量收费的消费模式订阅 HPC。 HPC 广泛应用于各个行业，从电脑辅助设计和工程到自动驾驶、生产最佳化、预测性维护、药物发现、精准医疗、诈欺和异常检测、金融和交易分析以及物联网/智慧城市。
  • 如果没有合适的工具和先进技术，对缩短产品开发週期 (PLC) 和持续品质的需求迅速增长，几乎不可能即时满足。用于高保真建模和模拟的高效能运算 (HPC) 系统和电脑辅助工程 (CAE) 软体在亚太地区的汽车、离散製造和医疗机器人等行业中的应用日益增多。
  • 例如，今年 10 月，Subaru公司日本总部将用于提高碰撞安全性和驾驶效能的模拟和 3D 视觉化工作负载迁移到 Oracle 云端基础架构。借助 OCI 上的 HPC（高效能运算），SUBARU 能够优化其开发週期，显着提高效率，并透过减少约 20% 的运算时间来降低营运成本。
  • 对于许多使用富士通有限公司数位退火器和高效能运算 (HPC) 等先进计算技术的公司和组织来说，成本仍然是一个主要障碍。今年 4 月，富士通推出的 CaaS 产品组合让消费者可以快速存取各种服务来解决这个问题。富士通推出“富士通运算即服务”，旨在透过云端（CaaS）服务组合提供对全球领先、最强大的运算技术的商业访问，从而加速数位转型（DX）并为全球客户提供支援。

云端高效能运算 (HPC) 产业概览

由于Advanced Micro Devices Inc.、NEC Corporation、Hewlett Packard Enterprise、Sugon Information Industry和Fujistu Ltd等许多重要参与企业的存在，云端高效能运算市场竞争非常激烈。产品推出、高研发成本、联盟和收购是公司维持激烈竞争的主要成长策略。

2022 年 5百万兆级，慧与与 SiPearl 建立策略伙伴关係关係，超级电脑开发 HPC 解决方案。此次合作将透过扩展超级运算的异质运算选项并使用欧洲架构来支援和加速欧洲百万兆级系统的部署。

其他好处

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场动态

  • 市场概况
  • 工业吸引力－波特五力
    • 新进入者的威胁
    • 买家/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • 产业价值链分析
  • COVID-19 对高效能运算市场的影响

第五章市场动态

  • 市场驱动因素
    • 高效处理大量资料的新需求
    • 云端 HPC 部署的增加
  • 市场问题
    • 资料安全问题

第六章 市场细分

  • 按成分
    • 硬体（伺服器、储存设备、系统、网路设备）
    • 软体和服务
  • 依部署类型
    • 本地
    • 云
  • 按工业用途
    • 航太/国防
    • 能源/公共产业
    • BFSI
    • 媒体娱乐
    • 製造业
    • 生命科学与医学
    • 其他工业应用
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东/非洲

第七章 竞争格局

  • 公司简介
    • Advanced Micro Devices Inc.
    • NEC Corporation
    • Hewlett Packard Enterprise
    • Sugon Information Industry Co. Ltd
    • Fujistu Ltd
    • Intel Corporation
    • International Business Machines Corporation
    • Microsoft Corporation
    • Dell Technologies Inc.
    • Dell EMC（Dell Technologies Inc.）
    • Dassault Systems SE
    • Lenovo Group Limited
    • Amazon Web Services Inc
    • NVIDIA Corporation
    • Atos SE

第八章投资分析

第9章 市场的未来

简介目录
Product Code: 46440

The Cloud High Performance Computing Market size is estimated at USD 11.56 billion in 2025, and is expected to reach USD 18.86 billion by 2030, at a CAGR of 10.29% during the forecast period (2025-2030).

Cloud High Performance Computing (HPC) - Market - IMG1

The emergence of big data and complex applications, such as ultra-high definition workflows, electronic design automatic simulations, etc., across various industries, is driving growth in the market.

Key Highlights

  • Artificial Intelligence, Machine learning, IoT, and 3D imaging generate large volumes of data, which HPC is essential for managing. HPC is also required for real-time data processing during live broadcasting of a sporting event, as well as for analyzing market patterns, following a growing storm, and testing new products.
  • Faster processing capabilities of microservers or HPC systems increased performance efficiency, and smarter deployment and administration with high-quality service are some key factors driving the growth of the HPC industry. Physical simulation, optimization, and machine learning (ML) in various industrial applications, including financial modeling and life science simulation, are examples where HPC plays a critical role in solving complex problems within time. In the automotive industry, EVs, autonomous vehicles, and connected vehicles are continuously taking development challenges to enter the market and require edge computing capabilities to be incorporated in these solutions driving the market.
  • In genomics research, the demand for high-performance computing (HPC) devices is rapidly growing. These technologies aid researchers identify and analyze genetic variations linked to various disorders and their responses to therapies. Genomic sequencing examines all forms of genetic changes throughout the entire genome. HPC systems provide significant speed, reliability, and precision, which aid in the practical analysis of massive amounts of sequencing data in genomic research activities. As a result, the introduction of Next Generation Sequencing (NGS) technology allows for investigating and identifying several areas of human health using various omics methodologies.
  • Recently, various organizations have accessed HPC systems, raising concerns about data hacking. HPC systems are vulnerable, which has resulted in many possible security vulnerabilities. Furthermore, because of the clustered environment and varied capabilities, HPC systems require various management systems to operate. As a result, the rising concern over data integrity and cyber-attacks are restraining the growth of the High-Performance Computing Market.
  • Data consumption and cloud demand have skyrocketed since the outbreak of COVID-19, owing to enterprises moving toward remote working and shifting their workloads onto the cloud. The demand for HPC saw significant growth, especially in bioscience, as HPC was used to develop a vaccine and tackle the effects of the pandemic. After the pandemic, the market is growing rapidly due to digitization and increased usage of HPC in various end-user applications.

Cloud High Performance Computing (HPC) Market Trends

Increasing Adoption of HPC in the Cloud Driving the Market

  • Adoption of HPC on the cloud would drive growth. Transferring data to analyze it adds another layer of complication. The platform should integrate all existing data sources in an organization to detect hidden threats and make better risk-based choices while leaving the data alone. This should ideally include an integrated search program that can scan all sources, including third-party sources, for threat indications. In June last year, Marvell introduced the OCTEON 10 DPU designed for security, networking, and storage workloads working toward 5G, cloud, carrier, and enterprise data center applications. Marvell's OCTEON 10 DPU combines hardware acceleration, data path bandwidth, and I/O offerings, including PCIe 5.0 and DDR5.
  • Although cloud-based solutions are becoming one of the most viable options for various applications since they provide the storage and computation needs for users at a relatively low cost, the area still needs to include appropriate security measures to protect the data and applications for cloud users.
  • Furthermore, in February this year, IBM purchased Sentaca, a telecommunications consulting services and solutions supplier, to expand its hybrid cloud consulting business in the communications service provider area and develop scalable, cloud- and edge-enabled process automation and process safety solutions.
  • Setting up an on-premise system is comparatively expensive, requiring significant upfront investments in product licenses, equipment, and IT services. Cloud-based technologies are, in comparison, extremely flexible and cost-effective for organizations to avoid spending much on hardware and software and human resources to manage both.
  • According to a survey conducted by platform9, the single public, hybrid, and on-premises clouds were organizations' major significant environments to run their workloads. As of August this year, Single public-cloud deployments presented 32.1 percent of cloud deployment.

Asia Pacific is Expected to be the Fastest Growing Market

  • The adoption of high-performance computing (HPC) has grown in the Asia-Pacific region for processing large volumes of data and executing complicated computations, analytics, simulations, and artificial intelligence (AI) at fast rates. However, the initial capital investment has been too expensive for many businesses, opening the path for HPC as a service. Instead of acquiring or leasing hardware and software, businesses subscribe to it through a pay-as-you-go consumption model in this strategy. And is widely used in various industries for applications ranging from computer-aided design and engineering to autonomous driving, production optimization, predictive maintenance, drug discovery, precision medicine, fraud and anomaly detection, treasury and trading analytics, IoT/smart cities, and many others.
  • The surging demand for short product development cycles (PLCs) and persistent quality becomes nearly impossible to address in real time without using the right tools and advanced technologies. The adoption of high-performance computing (HPC) systems, with computer-aided engineering (CAE) software for high-fidelity modeling simulation, is on the rise among various industries, such as automotive, discrete manufacturing, and healthcare robotics, has increased in the Asia-pacific region.
  • For instance, In October this year, Subaru Corporation headquarters, located in Japan, shifted its simulation and 3D visualization workloads responsible for increasing collision safety performance and driving performance to Oracle Cloud Infrastructure. With High-Performance Computing (HPC) on OCI, Subaru could optimize its development cycle, achieve significant efficiency, and cut operating expenses by lowering computational times by approximately 20%.
  • Cost remains a significant barrier for many businesses and organizations using advanced computing technologies-companies in this region like Fujitsu Limited Digital Annealer and high-performance computing (HPC) in their operations. In April this year, Fujitsu's CaaS portfolio will provide consumers quick access to various services to solve this issue. Fujitsu announced the introduction of its "Fujitsu Computing as a Service (CaaS)" service portfolio to accelerate digital transformation (DX) and empower clients globally by providing commercial access to some of the major global powerful computing technologies through the cloud.

Cloud High Performance Computing (HPC) Industry Overview

The cloud high-performance computing market is very competitive because of many significant players, like Advanced Micro Devices Inc., NEC Corporation, Hewlett Packard Enterprise, Sugon Information Industry Co. Ltd, Fujistu Ltd, etc. Product launches, high expenses on research and development, partnerships and acquisitions, etc., are the prime growth strategies these companies adopt to sustain the intense competition.

In May 2022, Hewlett Packard Enterprise and SiPearl, a company developing a high-performance and low-power microprocessor for European exascale supercomputers, established a strategic partnership to develop HPC solutions. The collaboration will assist and accelerate the deployment of exascale systems in Europe by expanding heterogeneous computing alternatives for supercomputing and using European architectures.

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 DYNAMICS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter Five Forces
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Impact of COVID-19 on the high-performance computing market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 The Emerging need to Process Enormous Amount of Data with Efficiency
    • 5.1.2 Increasing Adoption of HPC in the Cloud
  • 5.2 Market Challenges
    • 5.2.1 Concerns regarding the Security of the Data

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Hardware (Servers, Storage Devices, Systems, and Networking Devices )
    • 6.1.2 Software and Services
  • 6.2 By Deployment Type
    • 6.2.1 On-premise
    • 6.2.2 Cloud
  • 6.3 By Industrial Application
    • 6.3.1 Aerospace and Defence
    • 6.3.2 Energy and Utilities
    • 6.3.3 BFSI
    • 6.3.4 Media and Entertainment
    • 6.3.5 Manufacturing
    • 6.3.6 Life Science and Healthcare
    • 6.3.7 Other Industrial Applications
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Advanced Micro Devices Inc.
    • 7.1.2 NEC Corporation
    • 7.1.3 Hewlett Packard Enterprise
    • 7.1.4 Sugon Information Industry Co. Ltd
    • 7.1.5 Fujistu Ltd
    • 7.1.6 Intel Corporation
    • 7.1.7 International Business Machines Corporation
    • 7.1.8 Microsoft Corporation
    • 7.1.9 Dell Technologies Inc.
    • 7.1.10 Dell EMC (Dell Technologies Inc.)
    • 7.1.11 Dassault Systems SE
    • 7.1.12 Lenovo Group Limited
    • 7.1.13 Amazon Web Services Inc
    • 7.1.14 NVIDIA Corporation
    • 7.1.15 Atos SE

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET