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雲端高效能運算市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件（硬體、軟體和服務）、部署類型、工業應用、地區和競爭細分

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個工作天內

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簡介目錄

全球雲端高效能運算 (HPC) 市場預計在 2024 年至 2028 年預測期內蓬勃發展。預計推動市場成長的因素包括對混合高效能運算 (HPC) 解決方案的日益偏好、IT 產業的持續分化和成長以及對高效運算的需求不斷成長。在雲端採用 HPC 將加速成長。行動資料進行分析又增加了一層複雜性。該平台應整合組織中所有現有的資料來源，以識別隱藏的威脅並做出更好的基於風險的選擇，而無需處理資料。理想情況下，它應該包括一個整合掃描儀，可以掃描所有來源（包括第三方來源）是否有威脅。去年 2022 年 6 月，Marvell 推出了 OCTEON 10 DPU，專為與 5G、雲端、營運商和企業伺服器應用相關的安全、網路和儲存工作負載而設計。 Marvell 的 OCTEON 10 DPU 結合了硬體加速、資料路徑頻寬和 I/O 產品（包括 PCIe 5.0 和 DDR5）。

對高效計算不斷成長的需求促進了市場成長

市場概況
預測期 2024-2028
2022 年市場規模 95.7億美元
2028 年市場規模 170.5億美元
2023-2028 年年複合成長率 10.36%
成長最快的細分市場 製造業
最大的市場 北美洲

近年來，對高效計算（HEC）的需求不斷成長已成為一個突出的趨勢，這是由多種因素推動的，並對技術、行業和社會產生了重大影響。高效計算意味著能夠以更少的能耗執行複雜的計算任務並最大化計算能力。

這一需求背後的根本促進因素之一是數據密集型應用程式的指數級成長以及高效處理大量資訊的需求。從人工智慧 (AI) 和機器學習 (ML) 到大資料分析和科學模擬，這些功能需要大量的運算資源。高效運算使組織能夠滿足這些需求，同時降低成本和環境影響。此外，隨著環境永續意識的增強，能源效率已成為一個重要的考慮因素。透過採用高效運算系統，企業和資料中心可以減少碳足跡，為更綠色的未來做出貢獻。因此，現在各公司都將注意力集中在高效計算 (HEC) 系統上。此外，各國政府和監管機構也意識到節能運算的重要性，並鼓勵節能技術的開發和採用。因此，全球高效計算 (HEC) 預計在預測期內將會成長。

對高效計算的追求帶來了硬體、軟體和系統架構的進步。從節能處理器和加速器到智慧冷卻系統和最佳化演算法，研究人員和工程師不斷進行現代化改造以提高運算效率。總而言之，對高效率運算的需求不斷成長是由於處理大量資料、減少能源消耗和解決環境問題的需要。這一趨勢將繼續塑造技術格局，推動創新，並在醫療保健、金融、交通和再生能源等各個領域創造新的可能性。

採用雲端高效能運算（HPC）技術

高效能運算 (HPC) 擴大在政府部門中使用，這正在推動創新並改善治理。這些變化和進步在不同領域帶來了改變。世界各地的政府都在使用 HPC 來解決難題並在各個領域做出明智的選擇。

雲端中 HPC 的採用將推動成長。當資料傳輸進行分析時，會增加額外的複雜性。為了偵測隱藏的威脅並做出更好的基於風險的決策，平台應整合組織的所有資料來源，同時保留資料。一個可以檢查所有來源（包括來自第三方的來源）是否有危險跡象的整合搜尋程序是理想的選擇。 Marvell 於去年 6 月推出了 OCTEON 10 DPU，適用於 5G、雲端、營運商和企業資料中心應用的安全、網路和儲存工作負載。 Marvell 的 OCTEON 10 DPU 結合了硬體加速、資料路徑頻寬以及 DDR5 和 PCIe 5.0 等 I/O 選項。

儘管基於雲端的解決方案正在成為各種應用程式最可行的選擇之一，因為它們以相對較低的成本為用戶提供儲存和運算要求，但仍必須包括適當的安全措施來保護雲端用戶的資料和應用程式.此外，2022 年 2 月，IBM 收購了電信諮詢服務和解決方案供應商 Sentaca，為通訊服務供應商建置可擴展、支援雲端和邊緣的流程自動化和安全解決方案，並擴展其混合雲端端端端諮詢業務。由於上述發展，市場將很快成長。

高效能運算維護的高成本將阻礙預測期內的市場成長

高效能運算 (HPC) 系統以前所未有的速度協助複雜的模擬、資料分析和科學研究，徹底改變了多個產業。然而，除了其卓越的功能之外，其維護成本也很高。 HPC 維護成本高昂可歸因於多個因素。收購 HPC 基礎設施的初始投資是巨大的。這些系統需要專門的硬體組件，例如強大的處理器、大量記憶體和高速互連。此外，它們通常需要具有強大冷卻和供電能力的專用設施。

因此，HPC系統的功耗是另一項重大支出。這些系統在高性能和連續運作過程中會消耗大量電力。電力成本，加上防止過熱的冷卻要求，大大增加了整體維護費用。最後，HPC 系統的使用壽命有限。隨著技術的進步，更新、更有效率的組件出現，使舊系統的維護成本效益降低，升級或更換 HPC 基礎設施可能會造成重大的財務負擔。

此外，HPC 系統需要定期維護，以確保最佳效能和可靠性。定期軟體更新、安全修補程式和系統調整對於保持 HPC 基礎設施平穩運行至關重要，但它們需要在人力資源和許可費用方面進行持續投資。

由於HPC維護成本高昂、持續維護條件、功耗以及定期升級的需求，市場可能會面臨一些下滑。儘管有這些費用，但 HPC 帶來的巨大運算能力和利潤使其成為依賴困難資料分析和模擬的組織的寶貴投資。

市場區隔

全球雲端高效能運算 (HPC) 市場根據元件、部署類型、產業應用和區域進行細分。根據組件，市場分為硬體（伺服器、儲存設備、系統和網路設備）、軟體和服務。依部署類型，市場分為本地部署、雲端部署。根據產業應用，市場分為航空航太和國防、能源和公用事業、BFSI、媒體和娛樂、製造、生命科學和醫療保健。按地區分類，市場進一步分為北美、亞太地區、歐洲、南美、中東和非洲。

市場參與者

全球雲端高效能運算（HPC）市場的主要市場參與者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.、達梭系統公司和聯想Group Limited。

報告範圍：

在本報告中，全球雲端高效能運算（HPC）市場除了詳細介紹的產業趨勢外，還分為以下幾類：

雲端高效能運算 (HPC) 市場（按組成部分）：

  • 硬體
  • 伺服器
  • 儲存裝置
  • 系統
  • 網路裝置
  • 軟體
  • 服務

雲端高效能運算 (HPC) 市場（按部署類型）：

  • 本地
  • 雲

雲端高效能運算 (HPC) 市場，按產業應用分類：

  • 航太和國防
  • 能源和公用事業
  • BFSI
  • 媒體與娛樂
  • 製造業
  • 生命科學
  • 衛生保健

雲端高效能運算 (HPC) 市場（按地區）：

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 亞太
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 歐洲
  • 德國
  • 英國
  • 法國
  • 西班牙
  • 義大利
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
  • 中東和非洲
  • 沙烏地阿拉伯
  • 南非
  • 阿拉伯聯合大公國

競爭格局

  • 公司簡介：詳細分析全球雲端高效能運算 (HPC) 市場中的主要公司。

可用的客製化：

  • 根據給定的市場資料，Tech Sci Research 可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

  • 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：產品概述

  • 市場定義
  • 市場範圍
  • 涵蓋的市場
  • 研究年份
  • 主要市場區隔

第 2 章：研究方法

  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球雲端高效能運算 (HPC) 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（硬體（伺服器、儲存設備、系統和網路設備）、軟體和服務）
    • 依部署類型（本機、雲端）
    • 按工業應用（航太和國防、能源和公用事業、BFSI、媒體和娛樂、製造、生命科學和醫療保健）
    • 按地區
  • 按公司分類 (2022)
  • 市場地圖

第 6 章：北美雲端高效能運算 (HPC) 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依部署類型
    • 按工業應用
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：亞太地區雲端高效能運算 (HPC) 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依部署類型
    • 按工業應用
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第 8 章：歐洲雲端高效能運算 (HPC) 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依部署類型
    • 按工業應用
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙

第 9 章：南美洲雲端高效能運算 (HPC) 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依部署類型
    • 按工業應用
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲雲端高效能運算 (HPC) 市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依部署類型
    • 按工業應用
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 南非
    • 阿拉伯聯合大公國

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • 超微半導體公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 惠普企業
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 曙光資訊產業股份有限公司
    • 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
  • 英特爾公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 國際商業機器公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微軟公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴爾科技公司，
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 達梭系統公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 聯想Group Limited
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services

第 14 章：策略建議

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簡介目錄
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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