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市場調查報告書
商品編碼
1376129

英國高效能運算市場規模、佔有率和趨勢分析報告：2023-2030 年按組件、部署、最終用途和細分市場分類的趨勢

U.K. High Performance Computing Market Size, Share & Trends Analysis Report By Component (Servers, Storage, Networking Devices), By Deployment, By End-use, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

英國高效能運算市場的成長與趨勢：

根據 Grand View Research, Inc. 的最新報告，預計到 2030 年，英國高效能運算市場規模將達到 30.9 億美元，2023 年至 2030 年年複合成長率為 5.4%。

機器學習和巨量資料分析應用程式的普及正在推動對英國高效能運算資源處理和分析龐大資料集的需求。高效能運算用於金融和醫療保健等行業的複雜資料處理。英國擁有不斷發展的科技公司生態系統，利用高效能運算系統來推動創新。政府措施和私人對 IT 創新者的投資正在推動市場成長。

配合措施讓更廣泛的客戶，特別是中小企業 (SME) 更容易獲得高效能運算 (HPC)，方便用戶使用的 HPC 平台和雲端服務推動了採用，從而促進了市場成長。Masu。雲端公司提供 HPC 即服務，使企業能夠利用 HPC 功能，而無需簽署巨額的前期承諾。這種可近性正在推動市場成長。

HPC 系統需要大量能源，導致高昂的營運成本和環境問題。持續的挑戰包括開發更節能的高效能運算技術和最佳化資料中心冷卻。建置和維護 HPC 基礎設施（例如超級電腦和資料中心）非常昂貴。對於小型企業、研究人員和教育機構來說，取得高效能運算資產的成本可能很高。這項挑戰已透過雲端基礎的高效能運算服務等配合措施得到解決，這些服務可提高便利性並降低成本。

人工智慧 (AI)、神經網路和高效能運算 (HPC) 的融合可能會繼續擴大。 HPC 系統用於訓練和運行日益複雜的人工智慧模型，從而推動自然語言處理、機器視覺、強化學習等領域的未來進步。 HPC與邊緣運算之間的協作將加速。

HPC 技術正在部署在更靠近資料來源的位置，從而能夠在自動駕駛汽車、物聯網和工業自動化等應用中進行即時決策和分析。隨著高效能運算的發展，它將繼續成為突破人類知識邊界、提高各行業效率並為社會進步做出貢獻的重要工具。高效能運算市場面臨的挑戰，如節能、價格和資料管理，將透過英國高效能運算參與者的持續創造力和協作來解決。

英國高效能運算市場報告亮點：

  • 從組成部分來看，預計2023年至2030年儲存領域的年複合成長率將達到6.7%。儲存系統不斷發展以提供更高的容量和更快的效能。這是至關重要的，因為 HPC 應用程式會建立和請求大量資料。 HPC 儲存解決方案現在將包括資料管理和分析功能，幫助用戶從儲存的資訊中提取價值。
  • 雲端公司提供與 HPC負載有效整合的機器學習服務和人工智慧。雲端服務公司正在投資 HPC負載所需的高速、低延遲網路。這允許設備之間快速資料傳輸和有效通訊。
  • 根據最終用途，預計 2023 年至 2030 年製造領域的年複合成長率為 6.3%。 HPC 驅動的模擬有助於最佳化製造流程、減少廢棄物、能源使用和製造成本。基於 HPC 的模擬有助於最佳化製造流程、減少廢棄物、能源使用和製造成本。製造商可以透過由機器學習和高效能運算支援的人工智慧 (AI) 提供支援的監控資料和分析來做出即時決策。

目錄

第1章 調查方法和範圍

第2章 執行摘要

第3章 英國高效能運算市場變數、趨勢與範圍

  • 市場體系展望
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素/挑戰分析
    • 市場機會分析
  • 商業環境分析工具
    • 波特五力分析
    • PEST分析
  • COVID-19感染疾病的影響分析

第4章 英國高效能運算市場：組件展望

  • 2022 年和 2030 年英國高效能運算市場佔有率（按組成部分）
  • 伺服器
  • 貯存
  • 網路裝置
  • 軟體
  • 服務
  • 雲
  • 其他

第5章 英國高效能運算市場：發展展望

  • 2022 年及 2030 年英國高效能運算市場佔有率（按部署）
  • 本地
  • 雲

第6章 英國高效能運算市場：最終用途展望

  • 2022 年和 2030 年英國高效能運算市場佔有率（按最終用途）
  • BFSI
  • 遊戲
  • 媒體與娛樂
  • 零售
  • 交通設施
  • 政府和國防
  • 教育和研究
  • 製造業
  • 醫療保健和生物科學
  • 其他

第7章 競爭形勢

  • 公司分類（成熟公司、新興企業）
  • Company Share Analysis, 2022
  • 熱圖分析
  • 策略規劃
    • 擴張
    • 併購
    • 夥伴關係與協作
    • 產品/服務發布
    • 投資
  • 公司簡介（公司概況、績效、產品概況、策略配合措施）
    • Atos SE
    • Amazon Web Services, Inc.
    • Advanced Micro Devices, Inc
    • Cisco Systems, Inc.
    • Dell Inc.
    • Fujitsu
    • Hewlett Packard Enterprise Development LP
    • Huawei Technologies Co., Ltd.
    • Intel Corporation
    • IBM
    • Microsoft
    • Numerical Algorithms Group Ltd
    • Oracle
    • Red Hat, Inc.
    • Teradata Corporation
Product Code: GVR-4-68040-139-9

U.K. High Performance Computing Market Growth & Trends:

The U.K. high performance computing market size is estimated to reach USD 3.09 billion by 2030, growing at a CAGR of 5.4% from 2023 to 2030, according to the recent reports of Grand View Research, Inc.. The proliferation of machine learning and big data analytics applications has increased the demand for U.K. high-performance computing resources for handling and analyzing massive datasets. High-performance computing is used for complex data processing in industries such as finance and healthcare. The U.K. has an increasing ecosystem of technology firms that use high-performance computing systems to drive innovation. Government initiatives and private-sector investment in IT innovators help to grow the market.

Efforts to make high performance computing (HPC) more accessible to a broader variety of customers, particularly small and medium-sized businesses (SMEs), contribute to market growth, and user-friendly HPC platforms and cloud services aid adoption. Cloud companies provide HPC-as-a-Service, allowing organizations to use HPC capabilities without making huge initial agreements. This ease of access helps to foster the growth of the market.

HPC systems demand an immense amount of energy, which leads to significant operating costs and environmental issues. Continuous issues involve creating more energy-efficient high performance computing technology and optimizing data center cooling. Building and maintaining HPC infrastructure, such as supercomputers and data centers, is expensive. Access to high-performance computing assets could turn out excessively costly for smaller enterprises, researchers, and educational organizations. This challenge has been addressed by efforts to lower costs while boosting convenience, such as cloud-based high-performance computing services.

Incorporating artificial intelligence (AI) and neural networks with high-performance computing (HPC) will continue to expand. HPC systems will be utilized to train and run increasingly complex AI models, enabling future advances in processing natural languages, machine vision, and learning by reinforcement. The link between HPC and edge computing will accelerate.

HPC technologies will be deployed closer to data sources, allowing for actual-time decision-making and analysis in applications such as autonomous vehicles, the Internet of Things, and industry automation. As HPC evolves, it will continue to be a key tool for pushing the boundaries of human knowledge, boosting efficiency across industries, and contributing to societal improvement. The high-performance computing market's issues, including energy conservation, price, and data management, will be met by continual creativity and cooperation among the U.K. high-performance computing players.

U.K. High Performance Computing Market Report Highlights:

  • Based on component, the storage segment is expected to register a CAGR of 6.7% from 2023 to 2030. Storage systems will keep evolving to provide greater capacity and faster performance. This is essential because HPC applications create and demand massive amounts of data. HPC storage solutions will include data management and analytics features to assist users in deriving value from their stored information
  • Based on deployment, the cloud segment is expected to register a CAGR of 6.4% from 2023 to 2030.Cloud firms deliver machine learning services and artificial intelligence, which integrate effectively with HPC workloads. Cloud service companies invest in high-speed, low-latency networks, which are needed for HPC workloads. This allows for rapid data transfer and effective communication among devices
  • Based on end-use, the manufacturing segment is expected to register a CAGR of 6.3% from 2023 to 2030.HPC-powered simulations assist manufacturers in optimizing manufacturing processes and lowering waste, energy usage, and manufacturing costs. It allows for the creation of simpler and more efficient production operations. Manufacturers can make immediate decisions via monitoring data and analytics using machine learning and artificial intelligence (AI) with high-performance computing

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Methodology Segmentation & Scope
  • 1.2. Information procurement
    • 1.2.1. Purchased database
    • 1.2.2. GVR's internal database
    • 1.2.3. Secondary sources & third-party perspectives
    • 1.2.4. Primary research
  • 1.3. Information analysis
    • 1.3.1. Data analysis models
  • 1.4. Market formulation & data visualization
  • 1.5. Data validation & publishing

Chapter 2. Executive Summary

  • 2.1. U.K. High-Performance Computing Market - Component Snapshot, 2018 - 2030
  • 2.2. U.K. High-Performance Computing Market - Deployment Snapshot, 2018 - 2030
  • 2.3. U.K. High-Performance Computing Market - End-use Snapshot, 2018 - 2030

Chapter 3. U.K. High-Performance Computing Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint/Challenge Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Business Environment Analysis Tools
    • 3.4.1. Porter's Five Forces Analysis
    • 3.4.2. PEST Analysis
  • 3.5. COVID-19 Impact Analysis

Chapter 4. U.K. High-Performance Computing Market Component Outlook

  • 4.1. U.K. High-Performance Computing Market Share by Component 2022 & 2030 (USD Million)
  • 4.2. Servers
    • 4.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 4.3. Storage
    • 4.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.4. Networking Devices
    • 4.4.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.5. Software
    • 4.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.6. Services
    • 4.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.7. Cloud
    • 4.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 4.8. Others
    • 4.8.1. Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 5. U.K. High-Performance Computing Market Deployment Outlook

  • 5.1. U.K. High-Performance Computing Market Share by Deployment 2022 & 2030 (USD Million)
  • 5.2. On-premise
    • 5.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 5.3. Cloud
    • 5.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 6. U.K. High-Performance Computing Market End-use Outlook

  • 6.1. U.K. High-Performance Computing Market Share by Deployment 2022 & 2030 (USD Million)
  • 6.2. BFSI
    • 6.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
  • 6.3. Gaming
    • 6.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.4. Media & entertainment
    • 6.4.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.5. Retail
    • 6.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.6. Transportation
    • 6.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.7. Government & Defense
    • 6.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.8. Education & research
    • 6.8.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.9. Manufacturing
    • 6.9.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.10. Healthcare & bioscience
    • 6.10.1. Market estimates and forecast, 2018 - 2030 (USD Million)
  • 6.11. Others
    • 6.11.1. Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 7. Competitive Landscape

  • 7.1. Company Categorization (Mature Players, Emerging Players)
  • 7.2. Company Share Analysis, 2022
  • 7.3. Heat Map Analysis
  • 7.4. Strategy Mapping
    • 7.4.1. Expansion
    • 7.4.2. Merger & Acquisition
    • 7.4.3. Partnerships & Collaborations
    • 7.4.4. Product/Service Launch
    • 7.4.5. Investment
  • 7.5. Company Profiles (Overview, Financial Performance, Product Overview, Strategic Initiatives)
    • 7.5.1. Atos SE
    • 7.5.2. Amazon Web Services, Inc.
    • 7.5.3. Advanced Micro Devices, Inc
    • 7.5.4. Cisco Systems, Inc.
    • 7.5.5. Dell Inc.
    • 7.5.6. Fujitsu
    • 7.5.7. Hewlett Packard Enterprise Development LP
    • 7.5.8. Huawei Technologies Co., Ltd.
    • 7.5.9. Intel Corporation
    • 7.5.10. IBM
    • 7.5.11. Microsoft
    • 7.5.12. Numerical Algorithms Group Ltd
    • 7.5.13. Oracle
    • 7.5.14. Red Hat, Inc.
    • 7.5.15. Teradata Corporation

List of Tables

  • Table 1 List of Abbreviation
  • Table 2 U.K. High-Performance Computing market, 2018 - 2030 (USD Million)
  • Table 3 U.K. High-Performance Computing market, by component, 2018 - 2030 (USD Million)
  • Table 4 U.K. High-Performance Computing market, by deployment, 2018 - 2030 (USD Million)
  • Table 5 U.K. High-Performance Computing market, by end-use, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 U.K. High-Performance Computing market segmentation
  • Fig. 2 Methodology
  • Fig. 3 Primary Research Pattern
  • Fig. 4 Information analysis
  • Fig. 5 Data Analysis Model
  • Fig. 6 Data Validation & Publishing
  • Fig. 7 U.K. High-Performance Computing: Market Snapshot
  • Fig. 8 U.K. High-Performance Computing: Segment Snapshot
  • Fig. 9 U.K. High Performance Computing: Competitive Landscape Snapshot
  • Fig. 10 U.K. High-Performance Computing Market Lineage Outlook
  • Fig. 11 U.K. High-Performance Computing market: Value chain analysis
  • Fig. 12 Market driver analysis
  • Fig. 13 Market restraint analysis
  • Fig. 14 Market opportunity analysis
  • Fig. 15 U.K. High-Performance Computing market: Porter's five forces analysis
  • Fig. 16 U.K. High-Performance Computing market: PEST analysis
  • Fig. 17 U.K. High-Performance Computing market analysis: Component segment analysis
  • Fig. 18 U.K. High-Performance Computing market analysis: Deployment segment analysis
  • Fig. 19 U.K. High-Performance Computing market analysis: End-use segment analysis