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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（2024-2029 年）

Cloud High Performance Computing (HPC) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
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（HPC）市场规模预计到2024年为104.8亿美元，在预测期内（2024-2029年）预计到2029年将达到170.9亿美元，复合年增长率为10.29%。

云端高效能运算 (HPC) - 市场

各行业的巨量资料以及超高清工作流程和电子设计自动模拟等复杂应用的出现正在推动市场成长。

主要亮点

  • 人工智慧、机器学习、物联网和 3D 成像产生大量资料，而 HPC 对于管理这些数据至关重要。体育赛事直播期间的即时资料处理、市场模式分析以及风暴后测试新产品也需要 HPC。
  • 微型伺服器和HPC系统的加速处理能力提高了效能效率，而更智慧的部署和管理以及优质的服务是推动HPC产业成长的关键因素。各种工业应用（例如金融建模和生命科学模拟）中的物理模拟、最佳化和机器学习 (ML) 都是 HPC 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、自动驾驶汽车和联网汽车进入市场，汽车产业持续应对发展挑战，需要将边缘运算功能内建到这些市场领先的解决方案中。
  • 基因组学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基因突变。基因组序列测定检查整个基因组中所有型态的遗传变异。 HPC 系统提供显着的速度、可靠性和准确性，使其可用于基因组研究工作中大量序列测定资料的实际分析。因此，引入次世代定序(NGS) 技术，可以使用各种体学技术来研究和识别人类健康的多个领域。
  • 最近，各种组织一直在存取 HPC 系统，引发了对资料骇客攻击的担忧。由于 HPC 系统脆弱，可能会出现许多安全漏洞。此外，由于丛集环境和特性的不同，HPC系统的运作需要不同的管理系统。因此，对资料和网路攻击的日益担忧正在限制高效能运算市场的成长。
  • 自 COVID-19感染疾病以来，随着企业过渡到远端工作并将工作负载迁移到云端，资料消耗和云端需求激增。对 HPC 的需求显着增加，特别是在生物科学领域，因为 HPC 已被用于疫苗开发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不断增加，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

  • 在云端采用 HPC 将推动成长。传输和分析资料又增加了一层复杂性。平台应整合组织内的所有现有资料来源，以侦测隐藏的威胁并做出更好的基于风险的选择，同时保持资料完整。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 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、资料频宽以及 PCIe 5.0 和 DDR5 等 I/O 产品。
  • 云端基础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满足用户的储存和运算需求，但它们不能保护云端用户的资料和应用程式。适当的安全措施仍然存在需要纳入该领域。
  • 此外，今年2月，IBM扩大了在通讯服务供应商领域的混合云咨询业务，扩大了其通讯咨询服务并收购了解决方案供应商Sentaca。
  • 设置本地系统相对昂贵，并且需要在产品许可证、设备和 IT 服务方面进行大量前期投资。相较之下，云端基础的技术具有高度弹性和成本效益，组织无需在硬体和软体上花费大量资金，也无需花费大量人力资源来管理两者。
  • 根据 platform9 进行的研究，单一公有云、混合云或本地云已成为组织运行其工作负载的主要关键环境。截至今年8月，单一公共云端部署占云端部署的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。在这项策略中，公司透过付费使用制的消费模式订阅硬体和软体，而不是购买或租赁。它也广泛应用于各种行业，从电脑辅助设计和工程到自动驾驶、生产优化、预测性维护、药物发现、精准医疗、诈骗和异常检测、金融和交易分析以及物联网/智慧城市。我是。其他的。
  • 如果没有合适的工具和先进技术，对短产品开发週期 (PLC) 和持续品质的需求迅速增长，几乎不可能即时回应。汽车、离散製造和医疗机器人等各行业越来越多地采用高效能运算 (HPC) 系统和电脑辅助工程 (CAE) 软体进行高保真建模和模拟。亚太地区。
  • 例如，今年 10 月，Subaru公司日本总部将负责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了 Oracle 云端基础架构。使用 OCI 上的高效能运算 (HPC)，Subaru 能够优化其开发週期，显着提高效率，并透过将运算时间减少约 20% 来降低营运成本。
  • 对于许多在营运中使用富士通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。从今年 4 月开始，富士通的 CaaS 产品组合将使消费者能够快速存取解决这一问题的一系列服务。富士通正在引入云端来加速数位转型（DX），并透过提供对一些世界领先和最强大的运算技术的商业访问来为世界各地的客户提供支援。我们宣布推出计算即服务（CaaS）服务组合。

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 等许多重要参与者的存在，云端高效能运算 (HPC) 市场竞争非常激烈。产品发布、高额研发支出、合作伙伴收购等是这些公司保持竞争力的主要成长策略。

2022年5月，慧与为欧洲百亿亿百万兆级超级电脑开发高效能、低功耗微处理器的公司SiPearl建立了策略合作伙伴关係，共同开发HPC解决方案。该合作伙伴关係将透过扩展超级架构的百万兆级运算替代方案并使用欧洲架构来支援和加速欧洲百亿亿次系统的部署。

其他福利

  • 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
  • 行业景点-波特五力
    • 新进入者的威胁
    • 买方议价能力
    • 供应商的议价能力
    • 替代产品的威胁
    • 竞争公司之间的敌意强度
  • 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兴需求
    • 云端 HPC 的采用率提高
  • 市场挑战
    • 资料安全问题

第六章市场区隔

  • 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
    • 航太和国防
    • 能源和公共
    • BFSI
    • 媒体和娱乐
    • 製造业
    • 生命科学与医疗保健
    • 其他工业应用
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争形势

  • 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 10.48 billion in 2024, and is expected to reach USD 17.09 billion by 2029, growing at a CAGR of 10.29% during the forecast period (2024-2029).

Cloud High Performance Computing (HPC) - Market

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