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云端高效能运算市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件（硬体、软体和服务）、部署类型、工业应用、地区和竞争细分

Cloud High Performance Computing Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Component (Hardware, Software, and Services), By Deployment Type, By Industrial Application, By Region and Competition
出版日期: | 出版商: TechSci Research | 英文 175 Pages | 商品交期: 2-3个工作天内

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简介目录

全球云端高效能运算 (HPC) 市场预计在 2024 年至 2028 年预测期内蓬勃发展。预计推动市场成长的因素包括对混合高效能运算 (HPC) 解决方案的日益偏好、IT 产业的持续分化和成长以及对高效运算的需求不断增长。在云端采用 HPC 将加速成长。行动资料进行分析又增加了一层复杂性。该平台应整合组织中所有现有的资料来源，以识别隐藏的威胁并做出更好的基于风险的选择，而无需处理资料。理想情况下，它应该包括一个整合扫描仪，可以扫描所有来源（包括第三方来源）是否有威胁。去年 2022 年 6 月，Marvell 推出了 OCTEON 10 DPU，专为与 5G、云端、营运商和企业伺服器应用相关的安全、网路和储存工作负载而设计。 Marvell 的 OCTEON 10 DPU 结合了硬体加速、资料路径频宽和 I/O 产品（包括 PCIe 5.0 和 DDR5）。

对高效计算不断增长的需求促进了市场成长

市场概况
预测期 2024-2028
2022 年市场规模 95.7亿美元
2028 年市场规模 170.5亿美元
2023-2028 年复合年增长率 10.36%
成长最快的细分市场 製造业
最大的市场 北美洲

近年来，对高效计算（HEC）的需求不断增长已成为一个突出的趋势，这是由多种因素推动的，并对技术、行业和社会产生了重大影响。高效计算意味着能够以更少的能耗执行复杂的计算任务并最大化计算能力。

这一需求背后的根本驱动因素之一是数据密集型应用程式的指数级增长以及高效处理大量资讯的需求。从人工智慧 (AI) 和机器学习 (ML) 到大资料分析和科学模拟，这些功能需要大量的运算资源。高效运算使组织能够满足这些需求，同时降低成本和环境影响。此外，随着环境永续意识的增强，能源效率已成为一个重要的考虑因素。透过采用高效运算系统，企业和资料中心可以减少碳足迹，为更绿色的未来做出贡献。因此，现在各公司都将注意力集中在高效计算 (HEC) 系统上。此外，各国政府和监管机构也意识到节能运算的重要性，并鼓励节能技术的开发和采用。因此，全球高效计算 (HEC) 预计在预测期内将会成长。

对高效计算的追求带来了硬体、软体和系统架构的进步。从节能处理器和加速器到智慧冷却系统和最佳化演算法，研究人员和工程师不断进行现代化改造以提高运算效率。总而言之，对高效率运算的需求不断增长是由于处理大量资料、减少能源消耗和解决环境问题的需要。这一趋势将继续塑造技术格局，推动创新，并在医疗保健、金融、交通和再生能源等各个领域创造新的可能性。

采用云端高效能运算（HPC）技术

高效能运算 (HPC) 越来越多地在政府部门中使用，这正在推动创新并改善治理。这些变化和进步在不同领域带来了改变。世界各地的政府都在使用 HPC 来解决难题并在各个领域做出明智的选择。

云端中 HPC 的采用将推动成长。当资料传输进行分析时，会增加额外的复杂性。为了侦测隐藏的威胁并做出更好的基于风险的决策，平台应整合组织的所有资料来源，同时保留资料。一个可以检查所有来源（包括来自第三方的来源）是否有危险迹象的整合搜寻程序是理想的选择。 Marvell 于去年 6 月推出了 OCTEON 10 DPU，适用于 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。 Marvell 的 OCTEON 10 DPU 结合了硬体加速、资料路径频宽以及 DDR5 和 PCIe 5.0 等 I/O 选项。

儘管基于云端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为用户提供储存和运算要求，但仍必须包括适当的安全措施来保护云端用户的资料和应用程式.此外，2022 年 2 月，IBM 收购了电信咨询服务和解决方案供应商 Sentaca，为通讯服务供应商建置可扩展、支援云端和边缘的流程自动化和安全解决方案，并扩展其混合云咨询业务。由于上述发展，市场将很快成长。

高效能运算维护的高成本将阻碍预测期内的市场成长

高效能运算 (HPC) 系统以前所未有的速度协助复杂的模拟、资料分析和科学研究，彻底改变了多个产业。然而，除了其卓越的功能之外，其维护成本也很高。 HPC 维护成本高昂可归因于多个因素。收购 HPC 基础设施的初始投资是巨大的。这些系统需要专门的硬体组件，例如强大的处理器、大量记忆体和高速互连。此外，它们通常需要具有强大冷却和供电能力的专用设施。

因此，HPC系统的功耗是另一项重大支出。这些系统在高性能和连续运作过程中会消耗大量电力。电力成本，加上防止过热的冷却要求，大大增加了整体维护费用。最后，HPC 系统的使用寿命有限。随着技术的进步，更新、更有效率的组件出现，使旧系统的维护成本效益降低，升级或更换 HPC 基础设施可能会造成重大的财务负担。

此外，HPC 系统需要定期维护，以确保最佳效能和可靠性。定期软体更新、安全修补程式和系统调整对于保持 HPC 基础设施平稳运行至关重要，但它们需要在人力资源和许可费用方面进行持续投资。

由于HPC维护成本高昂、持续维护条件、功耗以及定期升级的需求，市场可能会面临一些下滑。儘管有这些费用，但 HPC 带来的巨大运算能力和利润使其成为依赖困难资料分析和模拟的组织的宝贵投资。

市场区隔

全球云端高效能运算 (HPC) 市场根据元件、部署类型、产业应用和区域进行细分。根据组件，市场分为硬体（伺服器、储存设备、系统和网路设备）、软体和服务。依部署类型，市场分为本地部署、云端部署。根据产业应用，市场分为航空航太和国防、能源和公用事业、BFSI、媒体和娱乐、製造、生命科学和医疗保健。按地区划分，市场进一步分为北美、亚太地区、欧洲、南美、中东和非洲。

市场参与者

全球云端高效能运算（HPC）市场的主要市场参与者Advanced Micro Devices Inc.、Hewlett Packard Enterprise、Sugon Information Industry Co. Ltd、Fujistu Ltd、Intel Corporation、International Business Machine Corporation、Microsoft Corporation、Dell Technologies Inc.、达梭系统公司和联想集团有限公司。

报告范围：

在本报告中，全球云端高效能运算（HPC）市场除了详细介绍的产业趋势外，还分为以下几类：

云端高效能运算 (HPC) 市场（按组成部分）：

  • 硬体
  • 伺服器
  • 储存装置
  • 系统
  • 网路装置
  • 软体
  • 服务

云端高效能运算 (HPC) 市场（按部署类型）：

  • 本地
  • 云

云端高效能运算 (HPC) 市场，按产业应用划分：

  • 航太和国防
  • 能源和公用事业
  • BFSI
  • 媒体与娱乐
  • 製造业
  • 生命科学
  • 卫生保健

云端高效能运算 (HPC) 市场（按地区）：

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 亚太
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲
  • 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 义大利
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
  • 中东和非洲
  • 沙乌地阿拉伯
  • 南非
  • 阿联酋

竞争格局

  • 公司简介：详细分析全球云端高效能运算 (HPC) 市场中的主要公司。

可用的客製化：

  • 根据给定的市场资料，Tech Sci Research 可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：产品概述

  • 市场定义
  • 市场范围
  • 涵盖的市场
  • 考虑学习的年份
  • 主要市场区隔

第 2 章：研究方法

  • 基线方法
  • 主要产业伙伴
  • 主要协会和二手资料来源
  • 预测方法
  • 数据三角测量与验证
  • 假设和限制

第 3 章：执行摘要

第 4 章：客户之声

第 5 章：全球云端高效能运算 (HPC) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（硬体（伺服器、储存设备、系统和网路设备）、软体和服务）
    • 依部署类型（本机、云端）
    • 按工业应用（航太和国防、能源和公用事业、BFSI、媒体和娱乐、製造、生命科学和医疗保健）
    • 按地区
  • 按公司划分 (2022)
  • 市场地图

第 6 章：北美云端高效能运算 (HPC) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 依部署类型
    • 按工业应用
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 7 章：亚太地区云端高效能运算 (HPC) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 依部署类型
    • 按工业应用
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第 8 章：欧洲云端高效能运算 (HPC) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 依部署类型
    • 按工业应用
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙

第 9 章：南美洲云端高效能运算 (HPC) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 依部署类型
    • 按工业应用
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲云端高效能运算 (HPC) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 依部署类型
    • 按工业应用
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋

第 11 章：市场动态

  • 司机
  • 挑战

第 12 章：市场趋势与发展

第 13 章：公司简介

  • 超微半导体公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 惠普企业
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 曙光资讯产业股份有限公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 富士通有限公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 英特尔公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 国际商业机器公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微软公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴尔科技公司，
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 达梭系统公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 联想集团有限公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services

第 14 章：策略建议

关于我们及免责声明

简介目录
Product Code: 15685

Global cloud high performance computing (HPC) market is expected to thrive during the forecast period, 2024-2028. The factors that are expected to drive the growth of the market are rising preference for hybrid high-performance computing (HPC) solutions, the continued divergence and growth of the IT industry, and the rising demand for high-efficiency computing. Adoption of HPC in the cloud will accelerate growth. Moving data for analysis adds another layer of complexity. The platform should integrate all existing data sources in the organization to identify hidden threats and make better risk-based choices, leaving the data alone. Ideally, it should include an integrated scanner that can scan all sources, including third-party sources, for threats. Last June 2022, Marvell introduced the OCTEON 10 DPU designed for security, networking and storage workloads related to 5G, cloud, carrier, and enterprise server applications. Marvell's OCTEON 10 DPU combines hardware acceleration, datapath bandwidth, and I/O offerings including PCIe 5.0 and DDR5.

The name "high performance computing" (HPC) refers to the attempt to aggregate computing influence in such a way that it provides significantly more horsepower than that provided by conventional servers and computers. Supercomputing, or high-performance computing, is like everyday computing, but more powerful than that.

The Growing Demand for High-Efficiency Computing to Encourage the Market Growth

Market Overview
Forecast Period2024-2028
Market Size 2022USD 9.57 Billion
Market Size 2028USD 17.05 Billion
CAGR 2023-202810.36%
Fastest Growing SegmentManufacturing
Largest MarketNorth America

The growing demand for high-efficiency computing (HEC) has developed a prominent trend in recent years, this is driven by numerous factors and with significant implications for technology, industries, and society. High-efficiency computing indicates for the ability to perform complex computational tasks with less energy consumption and maximizing computational power.

One of the fundamental drivers behind this demand is the exponential growth of data-intensive applications and the need to process vast amounts of information efficiently. From artificial intelligence (AI) and machine learning (ML) to big data analytics and scientific simulations, these functions require immense computational resources. High-efficiency computing enables organizations to meet these demands while reducing costs and environmental impact. Furthermore, energy efficiency has become a crucial consideration, since increasing awareness of environmental sustainability. By adopting high-efficiency computing systems, businesses and data centers can reduce their carbon footprint, contributing to a greener future. Owing to this, now a days companies are focusing towards high-efficiency computing (HEC) systems. In addition, governments and controlling bodies have also appreciated the importance of energy-efficient computing and are encouraging the development and adoption of energy-saving technologies. As a result, the global high-efficiency computing (HEC) is anticipated to grow, during the forecast period.

The pursuit of high-efficiency computing has resulted advancements in hardware, software, and system architecture. From power-efficient processors & accelerators to intelligent cooling systems and optimized algorithms, researchers and engineers are constantly modernizing to improve computational efficiency. In conclusion, the growing demand for high-efficiency computing stems is due to the need to process large volumes of data, reduce energy consumption, and address environmental concerns. This trend will continue to shape the technology landscape, driving innovation and enabling new possibilities in various fields, ranging from healthcare and finance to transportation and renewable energy.

Adoption of Cloud High Performance Computing (HPC) Technology

High-performance computing (HPC) is being used more and more in government sectors, which is driving innovation and improving governance. These changes and advancements have been transformative in different sectors. HPC is being used by governments all over the world to solve difficult problems and make well-informed choices in a variety of areas.

Growth would be fuelled by the adoption of HPC in the cloud. An additional layer of complexity is added when data is transferred for analysis. To detect hidden threats and make better risk-based decisions, the platform should integrate all an organization's data sources while leaving the data alone. An integrated search program that can check all sources, including those from third parties, for signs of danger is ideal. Marvell introduced the OCTEON 10 DPU in June of last year, which is intended for workloads in security, networking, and storage geared toward 5G, cloud, carrier, and enterprise data center applications. The OCTEON 10 DPU from Marvell combines hardware acceleration, data path bandwidth, and I/O options like DDR5 and PCIe 5.0.

Even though cloud-based solutions are becoming one of the most viable options for a variety of applications because they provide users with storage and computation requirements at a relatively low cost, appropriate security measures must still be included to safeguard cloud users' data and applications. Also, in February 2022, IBM bought telecommunications consulting services and solutions provider Sentaca to build scalable, cloud and edge-enabled process automation and safety solutions for communications service providers and expand its hybrid cloud consulting business. Due to the above-mentioned development the market will grow soon.

The High Cost of High-Performance Computing Maintenance will hinder the Market Growth in forecast period

High-performance computing (HPC) systems have revolutionized several industries by assisting complex simulations, data analysis, and scientific research at unprecedented speeds. However, along with their exceptional capabilities comes a significant cost associated with their maintenance. The high cost of HPC maintenance can be attributed to several factors. The initial investment in acquiring HPC infrastructure is substantial. These systems require specialized hardware components, such as powerful processors, large amounts of memory, and high-speed interconnects. Additionally, they often necessitate dedicated facilities with robust cooling and power supply capabilities.

Therefore, the power consumption of HPC systems is another significant expenditure. These systems expend substantial amounts of electricity in their high-performance nature and continuous operation. The cost of electricity, coupled with the cooling requirements to prevent overheating, contributes significantly to the overall maintenance expenses. Lastly, HPC systems have a limited lifespan. As technology advances, newer and more efficient components become available, rendering older systems less cost-effective to maintain and upgrading or replacing HPC infrastructure can be a significant financial burden.

Additionally, HPC systems demand regular maintenance to ensure optimal performance and reliability. Regular software updates, security patches, and system tuning are essential to keep the HPC infrastructure running smoothly, but they require ongoing investments in human resources and licensing fees.

Due to the high cost of HPC maintenance, ongoing maintenance conditions, power consumption, and the demand for periodic upgrades, the market might face some downfall. Despite these expenses, the immense computational power and profits derived from HPC makes it a valuable investment for organizations that rely on difficult data analysis and simulations.

Market Segmentation

Global cloud high performance computing (HPC) market is segmented based on component, deployment type, industrial application, and region. Based on component, the market is divided into hardware (servers, storage devices, systems, and networking devices), software, and services. Based on deployment type, the market is divided into on-premises, cloud. Based on industrial application, the market is divided into aerospace and defense, energy and utilities, BFSI, media and entertainment, manufacturing, life science, and healthcare. Based on region, the market is further bifurcated into North America, Asia-Pacific, Europe, South America, and Middle East & Africa.

Market player

Major market players in the global cloud high performance computing (HPC) market Advanced Micro Devices Inc., Hewlett Packard Enterprise, Sugon Information Industry Co. Ltd, Fujistu Ltd, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Dell Technologies Inc., Dassault Systems SE, and Lenovo Group Limited.

Report Scope:

In this report, the global cloud high performance computing (HPC) market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Cloud High Performance Computing (HPC) Market, By Component:

  • Hardware
  • Servers
  • Storage Devices
  • Systems
  • Networking Devices
  • Software
  • Services

Cloud High Performance Computing (HPC) Market, By Deployment Type:

  • On-premises
  • Cloud

Cloud High Performance Computing (HPC) Market, By Industrial application:

  • Aerospace and Defense
  • Energy and Utilities
  • BFSI
  • Media and Entertainment
  • Manufacturing
  • Life Science
  • Healthcare

Cloud High Performance Computing (HPC) Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Europe
  • Germany
  • United Kingdom
  • France
  • Spain
  • Italy
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • UAE

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the gobal cloud high performance computing (HPC) market.

Available Customizations:

  • With the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
  • 1.3. Markets Covered
  • 1.4. Years Considered for Study
  • 1.5. Key Market Segmentations

2. Research Methodology

  • 2.1. Baseline Methodology
  • 2.2. Key Industry Partners
  • 2.3. Major Association and Secondary Sources
  • 2.4. Forecasting Methodology
  • 2.5. Data Triangulation & Validation
  • 2.6. Assumptions and Limitations

3. Executive Summary

4. Voice of Customers

5. Global Cloud High Performance Computing (HPC) Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Hardware (Servers, Storage Devices, Systems, and Networking Devices), Software and Services)
    • 5.2.2. By Deployment Type (On-premises, Cloud)
    • 5.2.3. By Industrial Application (Aerospace and Defense, Energy and Utilities, BFSI, Media and Entertainment, Manufacturing, Life Science and Healthcare)
    • 5.2.4. By Region
  • 5.3. By Company (2022)
  • 5.4. Market Map

6. North America Cloud High Performance Computing (HPC) Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Type
    • 6.2.3. By Industrial Application
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Cloud High Performance Computing (HPC) Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Deployment Type
        • 6.3.1.2.3. By Industrial Application
    • 6.3.2. Canada Cloud High Performance Computing (HPC) Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Deployment Type
        • 6.3.2.2.3. By Industrial Application
    • 6.3.3. Mexico Cloud High Performance Computing (HPC) Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Deployment Type
        • 6.3.3.2.3. By Industrial Application

7. Asia-Pacific Cloud High Performance Computing (HPC) Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Type
    • 7.2.3. By Industrial Application
    • 7.2.4. By Country
  • 7.3. Asia-Pacific: Country Analysis
    • 7.3.1. China Cloud High Performance Computing (HPC) Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment Type
        • 7.3.1.2.3. By Industrial Application
    • 7.3.2. India Cloud High Performance Computing (HPC) Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Size & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment Type
        • 7.3.2.2.3. By Industrial Application
    • 7.3.3. Japan Cloud High Performance Computing (HPC) Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Size & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment Type
        • 7.3.3.2.3. By Industrial Application
    • 7.3.4. South Korea Cloud High Performance Computing (HPC) Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Size & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Deployment Type
        • 7.3.4.2.3. By Industrial Application
    • 7.3.5. Australia Cloud High Performance Computing (HPC) Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Deployment Type
        • 7.3.5.2.3. By Industrial Application

8. Europe Cloud High Performance Computing (HPC) Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Type
    • 8.2.3. By Industrial Application
    • 8.2.4. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Cloud High Performance Computing (HPC) Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment Type
        • 8.3.1.2.3. By Industrial Application
    • 8.3.2. United Kingdom Cloud High Performance Computing (HPC) Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment Type
        • 8.3.2.2.3. By Industrial Application
    • 8.3.3. France Cloud High Performance Computing (HPC) Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment Type
        • 8.3.3.2.3. By Industrial Application
    • 8.3.4. Italy Cloud High Performance Computing (HPC) Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment Type
        • 8.3.4.2.3. By Industrial Application
    • 8.3.5. Spain Cloud High Performance Computing (HPC) Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment Type
        • 8.3.5.2.3. By Industrial Application

9. South America Cloud High Performance Computing (HPC) Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Type
    • 9.2.3. By Industrial Application
    • 9.2.4. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Cloud High Performance Computing (HPC) Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment Type
        • 9.3.1.2.3. By Industrial Application
    • 9.3.2. Argentina Cloud High Performance Computing (HPC) Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment Type
        • 9.3.2.2.3. By Industrial Application
    • 9.3.3. Colombia Cloud High Performance Computing (HPC) Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment Type
        • 9.3.3.2.3. By Industrial Application

10. Middle East & Africa Cloud High Performance Computing (HPC) Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Type
    • 10.2.3. By Industrial Application
    • 10.2.4. By Country
  • 10.3. Middle East & Africa: Country Analysis
    • 10.3.1. Saudi Arabia Cloud High Performance Computing (HPC) Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment Type
        • 10.3.1.2.3. By Industrial Application
    • 10.3.2. South Africa Cloud High Performance Computing (HPC) Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment Type
        • 10.3.2.2.3. By Industrial Application
    • 10.3.3. UAE Cloud High Performance Computing (HPC) Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment Type
        • 10.3.3.2.3. By Industrial Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. Advanced Micro Devices Inc.
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Services
  • 13.2. Hewlett Packard Enterprise
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue and Financials
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Product/Services
  • 13.3. Sugon Information Industry Co. Ltd
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue and Financials
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Product/Services
  • 13.4. Fujistu Ltd
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue and Financials
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Product/Services
  • 13.5. Intel Corporation
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue and Financials
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Product/Services
  • 13.6. International Business Machines Corporation
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue and Financials
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Product/Services
  • 13.7. Microsoft Corporation
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue and Financials
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Product/Services
  • 13.8. Dell Technologies Inc.,
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue and Financials
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Product/Services
  • 13.9. Dassault Systems SE
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue and Financials
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Product/Services
  • 13.10. Lenovo Group Limited
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue and Financials
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Product/Services

14. Strategic Recommendations

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