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市场调查报告书
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1687361

高效能资料分析：市场占有率分析、产业趋势与统计、成长预测（2025-2030）

High-Performance Data Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
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

高效能资料分析市场规模预计在 2025 年为 1,201.6 亿美元，预计到 2030 年将达到 3,470.3 亿美元，预测期内（2025-2030 年）的复合年增长率为 23.63%。

高效能资料分析-市场-IMG1

在快速发展的技术世界中，创新推动着产业向前发展。高性能资料分析（HPDA）是加速这项创新的主要催化剂。随着数位世界以前所未有的速度扩张，准确、快速地分析和处理大量资料的能力已成为技术进步的关键推动因素。

主要亮点

  • 高效能资料分析市场的成长受到最终用户层面资料整合激增的推动。推动高效能资料分析市场大幅成长机会的最重要因素之一是技术创新和可近性。鑑于硬体和软体市场等各个层面的技术成长，优化高阶市场分析资料的前景更加光明。非结构化、结构化和结构化程度较低的类别在规模和机会上似乎相似。金融业的技术导向具有巨大的成长空间。
  • 我们日益互联和电脑化的世界产生了越来越多的资料。然而，资料成长是指数的，而不是线性的。依赖高效能运算 (HPC) 的公司正在製定计划以跟上这一成长势头。企业越来越意识到采用 HPC 功能来实现开发分析和 AI 操作的好处。为了让企业始终处于这场技术革命的前沿，英特尔和惠普等公司正在提供结合 HPC、AI 和其他工作负载的方法。
  • 经济的许多部门依靠天气和气候预测来做出重要的商业决策。例如，农业使用这些预测来决定何时种植、灌溉和减轻霜冻损害。能源部门将根据地区估算尖峰时段能源需求并平衡负载。透过这种方式，HPC主导的分析将透过更快、更准确地分析资料来帮助推动气候研究。
  • 高效能资料分析是资料分析与HPC的结合。该技术利用 HPC 的平行处理能力，以超过 teraflops（每秒兆次浮点运算）的速度运行强大的分析软体。预计 HPC 营运和部署的高投资和资本成本将阻碍市场成长。

高性能资料分析市场趋势

按需驱动成长

  • 高效能资料分析是HPC、资料分析和巨量资料的结合。 HPDA 利用 HPC 的速度和处理能力来快速洞察复杂资料集。
  • 按需运算（也称为云端处理）近年来取得了显着成长。它使个人和企业能够透过互联网以订阅方式存取储存设备、处理能力和应用程式等运算资源。
  • 此外，企业希望透过整合新时代的新技术来变得更加敏捷。迁移到云端环境是实现这一目标最有效的方法。成为云端的一部分意味着获得内建的连接和智能，不仅使智能操作能够协同工作，而且还为云端连接的数位服务奠定了坚实的基础。
  • 除此之外，数位转型等多种因素正在推动按需部署的快速扩张。越来越多的企业采用云端服务来简化IT基础设施并加速其数位转型进程。云端运算具有灵活性、扩充性和成本效益，因此对于各种规模的企业来说都是一个有吸引力的选择。
  • 据 Flexera 称，72% 的企业受访者表示，到 2023 年他们将采用混合云方法。混合云可协助企业更好地控制资料，将敏感资料储存在私有云端中，并在公有云上执行企业应用程式。
  • 整体而言，数位转型正藉助云端运算迈向新的维度。云端运算将数位转型从简单地采用新技术转变为在远端虚拟环境中对流程、工具和体验的彻底重新设计。云端处理增强了安全性，改善了使用者体验，并保护文件劣化。由此，企业现在将云端处理纳入其生态系统，进而促进市场成长。

北美占据主要市场占有率

  • 美国是采用高性能资料分析领域的领先创新者和先驱。预计该国将占据大部分市场份额。高效能资料分析供应商的强大立足点也刺激了市场成长。
  • 供应商包括 IBM Corporation、SAS Institute Inc.、英特尔公司和惠普企业。新商业洞察力的成长正在帮助扩大美国高性能资料分析市场。资料分析正在帮助该地区的许多企业实现直接转化为更好业务绩效的成果，例如改善客户体验和识别诈欺。
  • 此外，对能源创新的高效能运算的投资不断增加，预计将产生大量资料需要先进的资料分析解决方案来获取洞察力、优化业务并推动能源领域的创新，从而创造对该国高性能资料分析解决方案的需求。
  • 加拿大专注于医疗保健、人工智慧和可再生能源等领域的研究和创新，支援需要高效能资料分析解决方案来分析复杂资料并获得研究见解的市场。
  • 加拿大政府正在与各省和地区就卫生优先事项进行合作，以改善其人口的综合医疗，包括扩大家庭卫生服务的机会，以及利用标准化卫生资料和数位工具实现卫生系统的现代化。与医疗保健数位化相关的这些倡议导致该领域的资料量增加，需要先进的资料分析解决方案来处理这些数据并获得洞察。
  • 此外，高效能运算伙伴关係可望汇集各方的专业知识、技术和资源，以开发更先进、更有效率的资料分析解决方案。这些合作有可能带来创新并推动加拿大高效能资料分析市场的成长和需求。

高效能资料分析产业概览

高性能资料分析市场的竞争格局较为分散，参与者众多。由于该市场具有巨大的潜力，SAS Institute Inc、Hewlett Packard Enterprise Company、Oracle Corporation、ATOS SE 和 Microsoft Corporation 等领先供应商正在不断创新。公司正在进行併购并投入巨额资金进行研发活动。

2023 年 6 月，Applied Digital 宣布与惠普企业合作，Applied Digital 是一家主要为高效能运算应用设计、建置和营运下一代数位基础设施的公司。作为合作的一部分，HPE 将透过 Applied Digital 的 AI 云端服务提供功能强大、节能的超级电脑，这些服务已被证明可以大规模支援 AI。

2023 年 2 月，SAS 将加入 CESMII，进一步推进并加强整个製造业对进阶分析的使用。越来越多的领先製造商正在使用 SAS 人工智慧、机器学习和流程分析来转变其营运方式并更好地服务客户。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业价值链分析
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 技术简介
    • 网格计算
    • 资料库库内分析
    • 记忆体内分析

第五章 市场动态

  • 市场驱动因素
    • 全球 IT 和资料库产业的成长
    • 资料量不断增加
    • 高效能运算的进步
  • 市场限制
    • 投资成本高
    • 严格的政府法规

第六章 市场细分

  • 按组件
    • 硬体
    • 软体
    • 按服务
  • 按部署
    • 本地
    • 一经请求
  • 按组织规模
    • 中小型企业
    • 大型企业
  • 按最终用户产业
    • BFSI
    • 政府和国防
    • 能源与公共产业
    • 零售与电子商务
    • 其他最终用户产业
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
    • 亚洲
      • 中国
      • 印度
      • 日本
    • 拉丁美洲
      • 墨西哥
      • 巴西
    • 中东和非洲
      • 阿拉伯聯合大公国
      • 沙乌地阿拉伯

第七章 竞争格局

  • 公司简介
    • 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.

第八章投资分析

第九章 市场机会与未来趋势

简介目录
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).

High-Performance Data Analytics - Market - IMG1

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

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.

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS