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市場調查報告書
商品編碼
1687361
高效能資料分析：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）High-Performance Data Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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簡介目錄
高效能資料分析市場規模預計在 2025 年為 1,201.6 億美元，預計到 2030 年將達到 3,470.3 億美元，預測期內（2025-2030 年）的複合年成長率為 23.63%。
在快速發展的技術世界中，創新推動著產業向前發展。高性能資料分析（HPDA）是加速這項創新的主要催化劑。隨著數位世界以前所未有的速度擴張，準確、快速地分析和處理大量資料的能力已成為技術進步的關鍵推動因素。
主要亮點
- 高效能資料分析市場的成長受到最終用戶層面資料整合激增的推動。推動高效能資料分析市場大幅成長機會的最重要因素之一是技術創新和可近性。鑑於硬體和軟體市場等各個層面的技術成長，最佳化高階市場分析資料的前景更加光明。非結構化、結構化和結構化程度較低的類別在規模和機會上似乎相似。金融業的技術導向具有巨大的成長空間。
- 我們日益互聯和電腦化的世界產生了越來越多的資料。然而，資料成長是指數的，而不是線性的。依賴高效能運算 (HPC) 的公司正在製定計劃以跟上這一成長勢頭。企業越來越意識到採用 HPC 功能來實現開發分析和 AI 操作的好處。為了讓企業始終處於這場技術革命的前沿，英特爾和惠普等公司正在提供結合 HPC、AI 和其他工作負載的方法。
- 經濟的許多部門依靠天氣和氣候預測來做出重要的商業決策。例如，農業使用這些預測來決定何時種植、灌溉和減輕霜凍損害。能源部門將根據地區估算尖峰時段能源需求並平衡負載。透過這種方式，HPC主導的分析將透過更快、更準確地分析資料來幫助推動氣候研究。
- 高效能資料分析是資料分析與HPC的結合。該技術利用 HPC 的平行處理能力，以超過 teraflops（每秒兆次浮點運算）的速度運行強大的分析軟體。預計 HPC 營運和部署的高投資和資本成本將阻礙市場成長。
高性能資料分析市場趨勢
按需驅動成長
- 高效能資料分析是HPC、資料分析和巨量資料的結合。 HPDA 利用 HPC 的速度和處理能力來快速洞察複雜資料集。
- 按需運算（也稱為雲端處理）近年來取得了顯著成長。它使個人和企業能夠透過網際網路以訂閱方式存取儲存設備、處理能力和應用程式等運算資源。
- 此外，企業希望透過整合新時代的新技術來變得更加敏捷。遷移到雲端環境是實現這一目標最有效的方法。成為雲端的一部分意味著獲得內建的連接和智慧，不僅使智慧操作能夠協同工作，而且還為雲端連接的數位服務奠定了堅實的基礎。
- 除此之外，數位轉型等多種因素正在推動按需部署的快速擴張。越來越多的企業採用雲端服務來簡化IT基礎設施並加速其數位轉型進程。雲端運算具有靈活性、擴充性和成本效益，因此對於各種規模的企業來說都是一個有吸引力的選擇。
- 據 Flexera 稱，72% 的企業受訪者表示，到 2023 年他們將採用混合雲方法。混合雲可協助企業更好地控制資料，將敏感資料儲存在私有雲端中，並在公有雲上執行企業應用程式。
- 整體而言，數位轉型正藉助雲端運算邁向新的維度。雲端運算將數位轉型從簡單地採用新技術轉變為在遠端虛擬環境中對流程、工具和體驗的徹底重新設計。雲端處理增強了安全性，改善了使用者體驗，並保護文件劣化。由此，企業現在將雲端處理納入其生態系統，進而促進市場成長。
北美佔據主要市場佔有率
- 美國是採用高性能資料分析領域的領先創新者和先驅。預計該國將佔據大部分市場佔有率。高效能資料分析供應商的強大立足點也刺激了市場成長。
- 供應商包括 IBM Corporation、SAS Institute Inc.、英特爾公司和惠普企業。新商業洞察力的成長正在幫助擴大美國高性能資料分析市場。資料分析正在幫助該地區的許多企業實現直接轉化為更好業務績效的成果，例如改善客戶體驗和識別詐欺。
- 此外，對能源創新的高效能運算的投資不斷增加，預計將產生大量資料需要先進的資料分析解決方案來獲取洞察力、最佳化業務並推動能源領域的創新，從而創造對該國高性能資料分析解決方案的需求。
- 加拿大專注於醫療保健、人工智慧和可再生能源等領域的研究和創新，支援需要高效能資料分析解決方案來分析複雜資料並獲得研究見解的市場。
- 加拿大政府正在與各省和地區就衛生優先事項進行合作，以改善其人口的綜合醫療，包括擴大家庭衛生服務的機會，以及利用標準化衛生資料和數位工具實現衛生系統的現代化。與醫療保健數位化相關的這些舉措導致該領域的資料量增加，需要先進的資料分析解決方案來處理這些數據並獲得洞察。
- 此外，高效能運算夥伴關係可望匯集各方的專業知識、技術和資源，以開發更先進、更有效率的資料分析解決方案。這些合作有可能帶來創新並推動加拿大高效能資料分析市場的成長和需求。
高效能資料分析產業概覽
高性能資料分析市場的競爭格局較為分散，參與者眾多。由於該市場具有巨大的潛力，SAS Institute Inc、Hewlett Packard Enterprise Company、Oracle Corporation、ATOS SE 和 Microsoft Corporation 等領先供應商正在不斷創新。公司正在進行併購並投入巨額資金進行研發活動。
2023 年 6 月，Applied Digital 宣布與惠普企業合作，Applied Digital 是一家主要為高效能運算應用設計、建置和營運下一代數位基礎設施的公司。作為合作的一部分，HPE 將透過 Applied Digital 的 AI 雲端服務提供功能強大、節能的超級電腦，這些服務已被證明可以大規模支援 AI。
2023 年 2 月，SAS 將加入 CESMII，進一步推進並加強整個製造業對進階分析的使用。越來越多的領先製造商正在使用 SAS 人工智慧、機器學習和流程分析來轉變其營運方式並更好地服務客戶。
其他福利
- Excel 格式的市場預測 (ME) 表
- 3 個月的分析師支持
目錄
第 1 章 簡介
- 研究假設和市場定義
- 研究範圍
第2章調查方法
第3章執行摘要
第4章 市場洞察
- 市場概況
- 產業價值鏈分析
- 產業吸引力－波特五力分析
- 供應商的議價能力
- 買家的議價能力
- 新進入者的威脅
- 替代品的威脅
- 競爭對手之間的競爭
- 技術簡介
- 網格計算
- 資料庫庫內分析
- 記憶體內分析
第5章 市場動態
- 市場促進因素
- 全球 IT 和資料庫產業的成長
- 資料量不斷增加
- 高效能運算的進步
- 市場限制
- 投資成本高
- 嚴格的政府法規
第6章 市場細分
- 按組件
- 硬體
- 軟體
- 按服務
- 按部署
- 本地
- 一經請求
- 按組織規模
- 中小型企業
- 大型企業
- 按最終用戶產業
- BFSI
- 政府和國防
- 能源與公共產業
- 零售與電子商務
- 其他最終用戶產業
- 按地區
- 北美洲
- 美國
- 加拿大
- 歐洲
- 英國
- 德國
- 法國
- 亞洲
- 中國
- 印度
- 日本
- 拉丁美洲
- 墨西哥
- 巴西
- 中東和非洲
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 北美洲
第7章 競爭格局
- 公司簡介
- SAS Institute Inc.
- Hewlett Packard Enterprise Company
- Oracle Corporation
- ATOS SE
- Microsoft Corporation
- Dell Technologies Inc.
- IBM Corporation（Red Hat Inc.）
- Fujitsu Limited
- Intel Corporation
- Amazon Web Services Inc.（Amazon.com Inc.）
- Google LLC（Alphabet Inc.）
- Juniper Networks Inc.
第8章投資分析
第9章 市場機會與未來趨勢
簡介目錄
Product Code: 61778
The High-Performance Data Analytics Market size is estimated at USD 120.16 billion in 2025, and is expected to reach USD 347.03 billion by 2030, at a CAGR of 23.63% during the forecast period (2025-2030).
In a rapidly growing world of technology, innovation drives the industry forward. High-performance data analytics (HPDA) is a major catalyst for accelerating this innovation. As the digital world is expanding at an unprecedented rate, the capability to analyze and process large amounts of data accurately and quickly has become a key enabler of technological progress.
Key Highlights
- High-performance data analytics market growth is at boom due to the surge in data integration at the end-user level. One of the most crucial factors that have given rise to dramatic growth opportunities in the High-Performance Data Analytics market is technological innovation and accessibility. The prospect of advanced market analytics data optimization is even more promising given the growing state of technology at all levels, including hardware and software markets. Unstructured, structured, and less structured categories seem the same in size and opportunity. An impressive range of growth in the financial industry's technological orientation is visible.
- More data are being generated in an increasingly linked and computerized world. However, the growth of data is not linear; it is exponential. High-performance computing (HPC)-reliant businesses are creating plans for this upsurge. Organizations are gradually aware of the advantages of employing HPC capabilities to enable development analytics and AI operations. For businesses to be at the forefront of this technological revolution, companies such as Intel, HP, and others offer a way to combine HPC, AI, and other workloads.
- Many economic sectors use weather and climate predictions to make crucial business decisions. For instance, the agricultural sector uses these forecasts to determine when to plant, irrigate, and mitigate frost damage. The energy sector estimated that peak energy demands based on geography would balance the load. Thus, HPC (high-performance computing)-driven analytics helps fuel progress in climate research by analyzing data even more quickly and accurately.
- High-performance data analytics combines data analytics and HPC. This technology leverages the parallel processing abilities of HPC to run robust analytics software at speeds in excess of teraflops, or one trillion floating point operations per second. High investment and capital costs for operating and installing HPC are expected to hinder market growth.
High Performance Data Analytics Market Trends
On-Demand to Witness the Growth
- High-performance data analytics combine HPC, Data Analytics, and Big Data. In order to provide quick insight into complex data sets, HPDA uses the speed and processing power of HPC.
- In recent years, there has been strong growth in on-demand computing, also known as cloud computing. This will allow individuals and businesses to make use of computing resources on a subscription basis via the Internet, e.g., storage devices, processing power, or applications.
- Moreover, companies are aiming to become agile with the integration of new technologies in this new era. Moving to a cloud environment is the most effective way of doing this. Being a part of the cloud means obtaining an embedded connection and intelligence, enabling intelligent operations to work in cooperation with each other, as well as building solid foundations for digital services linked to the cloud.
- In addition to this, on-demand deployment has been growing rapidly owing to several factors like digital transformation. Organizations are progressively adopting cloud services to streamline their IT infrastructure and speed up digital transformation initiatives. Cloud computing offers agility, scalability, and cost-efficiency, making it an attractive option for businesses of all sizes.
- According to Flexera, as of 2023, 72% of the enterprise respondents indicated that they had deployed a hybrid cloud in their organization since it can provide businesses more control over their data, help store sensitive data in a private cloud and run enterprise applications on a public cloud.
- Overall, digital transformation has been given an extra dimension by cloud computing, which transforms it from simply adopting new technology to a complete rebuilding of processes, tools, and experiences in a remote, virtual environment. Cloud computing boosts security, enhances user experience, and protects documents from deterioration. Because of this, businesses are now incorporating cloud computing into their ecosystem, fueling the growth of the market.
North America to Hold Major Market Share
- The United States is among the leading innovators and pioneers in adopting high-performance data analytics. The country is expected to hold a prominent share of the market. It has a strong foothold in terms of high-performance data analytics vendors, which adds to the market's growth.
- Some vendors include IBM Corporation, SAS Institute Inc., Intel Corporation, and Hewlett Packard Enterprise, among others. The growth of new business insights contributes to expanding the high-performance data analytics market in the United States. Data analytics is helping many companies in the region to improve customer experience, identify fraud, and achieve other results that directly strengthen business performance.
- Furthermore, increasing investment in high-performance computing for energy innovation is expected to generate a large amount of data that needs sophisticated data analytics solutions to get insights, optimize operations, drive innovation in the energy sector, and create demand for high-performance data analytics solutions in the country.
- The strong focus on research and innovation in Canada in sectors like healthcare, artificial intelligence, and renewable energy is leading to support the market requiring high-performance data analytics solutions to analyze complex data sets and gain research insights.
- The government of Canada is working collaboratively with provinces and territories on health priorities to improve integrated health care for residents, such as expanding access to family health services and modernizing the health care system with standardized health data and digital tools. Such initiatives related to digitalization in healthcare would result in the growth in data volumes in the sector, which needs advanced data analytics solutions for processing to get insights creating the need for high-performance data analytics solutions for better healthcare service offerings in the country.
- Moreover, partnerships related to high-performance computing are expected to bring together their expertise, technology, and resources to develop more advanced and efficient data analytics solutions. These collaborations could lead to innovations, driving growth and demand in the high-performance data analytics market in Canada.
High Performance Data Analytics Industry Overview
The competitive landscape of the high-performance data analytics market is fragmented due to the presence of many players. Key vendors such as SAS Institute Inc, Hewlett Packard Enterprise Company, Oracle Corporation, ATOS SE, and Microsoft Corporation are continuously innovating in the technology due to the vast array of prospects the market projects. The companies are undergoing mergers and acquisitions, spending vast sums of money on R&D activities, etc.
In June 2023, Applied Digital Corporation, a builder, designer, and operator of next-generation digital infrastructure primarily designed for High-Performance Computing applications, declared a collaboration with Hewlett Packard Enterprise. As a part of the collaboration, HPE would provide its powerful, energy-efficient supercomputers that are proven to support large-scale AI through Applied Digital's AI cloud service.
In February 2023, SAS joined CESMII to promote further and enhance the utilization of advanced analytics across the manufacturing sector. More and more top manufacturers utilize artificial intelligence, machine learning, and streaming analytics from SAS, especially to transform operations and better serve its customers.
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 INSIGHTS
- 4.1 Market Overview
- 4.2 Industry Value Chain Analysis
- 4.3 Industry Attractiveness - Porter's Five Forces Analysis
- 4.3.1 Bargaining Power of Suppliers
- 4.3.2 Bargaining Power of Buyers
- 4.3.3 Threat of New Entrants
- 4.3.4 Threat of Substitutes
- 4.3.5 Intensity of Competitive Rivalry
- 4.4 Technology Snapshot
- 4.4.1 Grid Computing
- 4.4.2 In-Database Analytics
- 4.4.3 In-Memory Analytics
5 MARKET DYNAMICS
- 5.1 Market Drivers
- 5.1.1 Growing Number of IT & Database Industry Across the Globe
- 5.1.2 Growing Data Volumes
- 5.1.3 Advancements in High-Performance Computing Activities
- 5.2 Market Restraints
- 5.2.1 High Investment Cost
- 5.2.2 Stringent Government Regulations
6 MARKET SEGMENTATION
- 6.1 By Component
- 6.1.1 Hardware
- 6.1.2 Software
- 6.1.3 Services
- 6.2 By Deployment
- 6.2.1 On-Premise
- 6.2.2 On-Demand
- 6.3 By Organization Size
- 6.3.1 Small and Medium Enterprises
- 6.3.2 Large Enterprises
- 6.4 By End-user Industry
- 6.4.1 BFSI
- 6.4.2 Government & Defense
- 6.4.3 Energy & Utilities
- 6.4.4 Retail & E-Commerce
- 6.4.5 Other End-User Industry
- 6.5 By Geography
- 6.5.1 North America
- 6.5.1.1 United States
- 6.5.1.2 Canada
- 6.5.2 Europe
- 6.5.2.1 United Kingdom
- 6.5.2.2 Germany
- 6.5.2.3 France
- 6.5.3 Asia
- 6.5.3.1 China
- 6.5.3.2 India
- 6.5.3.3 Japan
- 6.5.4 Latin America
- 6.5.4.1 Mexico
- 6.5.4.2 Brazil
- 6.5.5 Middle East and Africa
- 6.5.5.1 United Arab Emirates
- 6.5.5.2 Saudi Arabia
- 6.5.1 North America
7 COMPETITIVE LANDSCAPE
- 7.1 Company Profiles
- 7.1.1 SAS Institute Inc.
- 7.1.2 Hewlett Packard Enterprise Company
- 7.1.3 Oracle Corporation
- 7.1.4 ATOS SE
- 7.1.5 Microsoft Corporation
- 7.1.6 Dell Technologies Inc.
- 7.1.7 IBM Corporation (Red Hat Inc.)
- 7.1.8 Fujitsu Limited
- 7.1.9 Intel Corporation
- 7.1.10 Amazon Web Services Inc. (Amazon.com Inc.)
- 7.1.11 Google LLC (Alphabet Inc.)
- 7.1.12 Juniper Networks Inc.
