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高效能资料分析(HPDA) 市场：按组件、部署、组织规模、最终用户和地区进行的全球分析、规模、趋势、COVID-19 影响分析和 2030 年预测

Global High-Performance Data Analytics Market: Analysis By Component, By Deployment, By Organization Size, By End User, By Region Size and Trends with Impact Analysis of COVID-19 and Forecast up to 2030
出版日期: | 出版商: Daedal Research | 英文 157 Pages | 订单完成后即时交付

价格

2024 年全球高效能资料分析(HPDA) 市场规模价值为 1,086.6 亿美元。预计到 2030 年将达到 3,518.7 亿美元。高效能资料分析(HPDA) 可以定义为高效能运算 (HPC) 功能与进阶资料分析技术的集成，以有效地处理和分析大型资料集。透过将先进的运算技术与强大的分析工具相结合，公司可以更快地获得洞察力，增强决策流程并推动整个业务的创新。

未来几年，由于多种趋势的融合，高效能资料分析(HPDA) 市场预计将持续成长。其中一个主要驱动因素是医疗保健、金融和製造业等行业对即时资料处理的需求日益增长。巨量资料、人工智慧和云端运算技术的快速应用使组织能够有效地分析大量资料集。此外，随着组织专注于提高效率和降低成本，各部门对高效能资料分析(HPDA) 解决方案的需求预计将会成长。总而言之，随着各行各业越来越意识到利用资料来获得竞争优势和推动创新的价值，全球高性能资料分析(HPDA) 市场有望实现持续成长。技术进步、不断变化的业务需求以及对永续性的关注可能会在未来几年塑造高效能资料分析(HPDA) 格局。预计 2025-2030 年预测期内市场复合年增长率约为 22%。

本报告对全球高性能资料分析(HPDA) 市场进行了深入分析，并提供了有关市场动态、COVID-19 的影响和竞争格局的资讯。

目录

第一章执行摘要

第 2 章 简介

  • 高效能资料分析(HPDA)：概述
    • 高效能资料分析（HPDA）简介
    • 高效能资料分析（HPDA）的主要优势
  • 高效能资料分析(HPDA) 细分：概述
    • 高效能资料分析(HPDA) 细分

第三章 全球市场分析

  • 全球高效能资料分析(HPDA) 市场：分析
    • 全球高效能资料分析(HPDA) 市场概览
    • 全球高效能资料分析(HPDA) 市场规模
    • 全球高效能资料分析(HPDA) 市场按组件（硬体、软体、服务）划分
    • 全球高效能资料分析(HPDA) 市场按部署（本地、按需）划分
    • 全球高效能资料分析(HPDA) 市场按组织规模划分（大型企业、小型企业和中型企业）
    • 全球高效能资料分析(HPDA) 市场按最终用户划分（BFSI、零售和电子商务、能源和公共事业、政府和国防、其他）
    • 全球高效能资料分析(HPDA) 市场（按区域）
  • 全球高效能资料分析(HPDA) 市场：组件分析
    • 全球高效能资料分析(HPDA) 市场各组成部分概览
    • 全球高效能资料分析(HPDA) 硬体市场规模
    • 全球高效能资料分析(HPDA) 软体市场规模
    • 全球高效能资料分析(HPDA) 服务市场规模
  • 全球高效能资料分析(HPDA) 市场：发展分析
    • 全球高效能资料分析(HPDA) 市场部署概览
    • 全球按需高效能资料分析(HPDA) 市场规模
    • 全球本地高效能资料分析(HPDA) 市场规模
  • 全球高效能资料分析(HPDA) 市场：组织范围的分析
    • 全球高效能资料分析(HPDA) 市场概览（按组织规模）
    • 全球大型公司高性能资料分析(HPDA) 的市场规模
    • 全球中小企业高性能资料分析(HPDA) 市场规模
  • 全球高效能资料分析(HPDA) 市场：最终用途产业分析
    • 全球高效能资料分析(HPDA) 市场概览（按最终用途产业）
    • 全球 BFSI 高效能资料分析(HPDA) 市场规模
    • 全球零售与电子商务高效能资料分析(HPDA) 市场规模
    • 全球能源和公共事业高效能资料分析(HPDA) 市场规模
    • 全球政府与国防高性能资料分析(HPDA) 市场规模
    • 其他全球高效能资料分析(HPDA) 市场规模

第四章 区域市场分析

  • 北美高效能资料分析(HPDA) 市场：分析
    • 北美高效能资料分析(HPDA) 市场概览
    • 北美高效能资料分析(HPDA) 市场规模
    • 北美高效能资料分析(HPDA) 市场（按地区）
    • 美国高效能资料分析(HPDA) 市场规模
    • 加拿大高效能资料分析(HPDA) 市场规模
    • 墨西哥高效能资料分析(HPDA) 市场规模
  • 欧洲高效能资料分析(HPDA) 市场：分析
    • 欧洲高效能资料分析(HPDA) 市场概览
    • 欧洲高效能资料分析（HPDA）市场规模
    • 欧洲高效能资料分析(HPDA) 市场（按地区）
    • 德国高效能资料分析(HPDA) 市场规模
    • 英国高效能资料分析(HPDA) 市场规模
    • 法国高性能资料分析(HPDA) 市场规模
    • 义大利高效能资料分析(HPDA) 市场规模
    • 其他欧洲高效能资料分析(HPDA) 市场规模
  • 亚太高效能资料分析(HPDA) 市场：分析
    • 亚太地区高效能资料分析(HPDA) 市场概览
    • 亚太高效能资料分析(HPDA) 市场规模
    • 亚太地区高效能资料分析(HPDA) 市场（按区域）
    • 中国的高性能资料分析(HPDA) 市场规模
    • 日本高效能资料分析(HPDA) 市场规模
    • 印度高效能资料分析(HPDA) 市场规模
    • 其他亚太地区高效能资料分析(HPDA) 市场规模
  • 世界其他地区高效能资料分析(HPDA) 市场分析
    • 世界其他地区高效能资料分析(HPDA) 市场概览
    • 世界其他地区高效能资料分析(HPDA) 市场规模

第五章 新冠肺炎疫情的影响

  • COVID-19 对全球高效能资料分析(HPDA) 市场的影响
  • COVID-19 对全球高效能资料分析(HPDA) 市场的影响

第六章 市场动态

  • 成长动力
    • 扩大资料量
    • 云端运算的采用日益广泛
    • OT/IOT 与连网型设备的兴起
    • IT和资料库产业快速成长
    • 更重视资料驱动的决策
  • 任务
    • 对资料隐私的担忧日益加剧
    • 初期投资成本大
  • 市场趋势
    • 边缘运算的兴起
    • 人工智慧等先进技术的兴起
    • 高效能运算活动的进展
    • 监理合规要求日益提高
    • 即时分析的采用激增

第七章 竞争格局

  • 全球高效能资料分析(HPDA) 市场：竞争格局

第八章 公司简介

  • IBM Corporation
  • Microsoft Corporation
  • Alphabet Inc. (Google Cloud Platform)
  • Amazon.Com, Inc. (Amazon Web Services, Inc.)
  • Intel Corporation
  • Atos SE
  • Oracle Corporation
  • Hewlett Packard Enterprise Company
  • Dell Technologies Inc.
  • SAS Institute Inc.
  • Fujitsu Limited
  • Teradata Corporation
  • Juniper Networks, Inc.

The global high-performance data analytics market was valued at US$108.66 billion in 2024. The market value is expected to reach US$351.87 billion by 2030. High-Performance Data Analytics (HPDA) can be defined as the integration of high-performance computing (HPC) capabilities with advanced data analytics techniques to efficiently process and analyze large datasets. By integrating advanced computing techniques with robust analytical tools, businesses can achieve faster insights, enhance decision-making processes, and drive innovation across their operations.

In the forthcoming years, the high-performance data analytics market is expected to continue growing due to several converging trends. One key factor is the increasing demand for real-time data processing across industries such as healthcare, finance, and manufacturing. The rapid adoption of big data, artificial intelligence (AI), and cloud computing technologies is enabling organizations to analyze vast datasets efficiently. Additionally, as organizations focus on improving efficiency and reducing costs, the demand for high-performance data analytics solutions is expected to rise across various sectors. In summary, the global high-performance data analytics market is well-positioned for sustained growth as industries increasingly recognize the value of leveraging data to gain competitive advantages and drive innovation. The combination of technological advancements, evolving business needs, and a focus on sustainability is likely to shape the landscape of high-performance data analytics in the coming years. The market is expected to grow at a CAGR of approx. 22% during the forecasted period of 2025-2030.

Market Segmentation Analysis:

By Component: According to the report, the global high-performance data analytics market is segmented into three components: Hardware, Software, and Services. Hardware segment acquired majority of share in the market in 2024 due to the increasing demand for advanced computing infrastructure required to handle large-scale data processing and storage needs. High-performance data analytics relies on powerful hardware, such as servers and specialized processors, which are critical for efficiently processing vast amounts of data. On the other hand, the services segment is expected to grow at the fastest CAGR because businesses increasingly seek specialized services like cloud computing, data management, and analytics consulting to optimize their operations. These services help organizations implement and manage complex data analytics solutions without heavy in-house investments in technology and expertise.

By Deployment: Based on the deployment, the global high-performance data analytics market can be divided into two segments: On-Premise and On-Demand. Among the deployments, on-demand high-performance data analytics segment dominated the market in 2024. This market's dominance is attributed to the growing adoption of cloud-based solutions, which offer scalability, flexibility, and cost-effectiveness for businesses. On-demand analytics allow organizations to access powerful data processing capabilities without the need for significant upfront investments in on-premise infrastructure. The ability to scale resources as needed, pay only for what is used, and quickly deploy advanced analytics solutions has made on-demand services increasingly attractive to companies seeking efficient and dynamic data-driven insights.

By Organization Size: Based on organization size, the market can be bifurcated into two segments: Large Enterprises and Small and Medium Enterprises. The large enterprises segment held a significant share of the global high-performance data analytics market due to their ability to invest in advanced analytics solutions for managing vast, complex datasets. These organizations require powerful tools for business intelligence, predictive modeling, and AI-driven decision-making to stay competitive. Their capacity to implement on-premise or hybrid infrastructures tailored to security and compliance needs, along with the growing adoption of AI, machine learning, and cloud technologies, further drives market growth. The increasing need for data-driven decision-making and automation would continue to support this segment's growth in the coming years.

By End User: The report provides the split of global high-performance data analytics market in terms of end-user: BFSI (Banking, Financial Services, and Insurance), Retail and E-Commerce, Energy and Utilities, Government and Defense, and other. The BFSI segment holds a significant share of the global high-performance data analytics market. A key growth driver for this segment is the increasing need for real-time data analysis to enhance decision-making, risk management, fraud detection, and customer personalization. As financial institutions and insurers handle large volumes of sensitive data, they rely on high-performance analytics to improve operational efficiency, ensure compliance with regulatory standards, and gain a competitive edge in delivering tailored services to their clients. The growing adoption of AI and machine learning in financial services further boosts the demand for advanced analytics solutions in this sector.

By Region: The report provides insight into the high-performance data analytics market based on the geographical operations, namely North America (The US, Mexico and Canada), Europe (Germany, UK, France, Italy, and the Rest of Europe), Asia Pacific (China, Japan, India and the Rest of Asia Pacific), and Rest of the World. North America high-performance data analytics market captured the highest market share in 2024, due to the region's strong technological infrastructure, widespread adoption of advanced analytics, and the presence of leading companies investing in AI, machine learning, and cloud technologies. Additionally, industries such as finance, healthcare, and retail in North America are increasingly relying on data-driven insights to enhance operational efficiency and maintain a competitive edge, driving the demand for high-performance data analytics solutions. The US held the majority of share within North America, owing to its advanced technological infrastructure, high levels of investment in research and development, and the presence of major tech companies leading innovations in high-performance data analytics.

In Asia Pacific, the high-performance data analytics market is gaining traction owing to rapid digital transformation across various industries, increasing investments in cloud computing and AI technologies, and the growing volume of data generated by businesses and consumers. The region's expanding tech ecosystem, along with government initiatives to promote smart cities and digital economies, is further driving the adoption of advanced data analytics solutions.

Market Dynamics:

Growth Drivers: The global high-performance data analytics market growth is predicted to be supported by numerous growth drivers such as expanding data volumes, rising adoption of cloud computing, proliferation of OT/IOT and connected devices, rapid growth in number of IT and database industry, and many other factors. The increasing focus on data-driven decision-making is a significant trend driving the growth of the global High-Performance Data Analytics (HPDA) market. Organizations across various industries are realizing the value of data in shaping strategic decisions and gaining a competitive edge. With the expanding volume of data being generated, companies are shifting from traditional decision-making processes to approaches that leverage advanced analytics to extract actionable insights. This change enables businesses to improve operational efficiency, optimize resources, and enhance decision-making capabilities. As a result, there is an increased demand for HPDA solutions that can process, analyze, and interpret large and complex datasets quickly, allowing organizations to make informed decisions in real-time or near real-time.

Challenges: However, the market growth would be negatively impacted by various challenges such as mounting concerns over data privacy, significant initial investment costs, etc.

Trends: The market is projected to grow at a fast pace during the forecast period, due to various latest trends such as escalating edge computing, high emergence of advanced technologies like AI, advancements in high performance computing activities, surging adoption of real-time analytics, etc. Rising regulatory compliance requirements are shaping the global High-Performance Data Analytics (HPDA) market as businesses face increasing pressure to meet stricter rules on data privacy, security, and ethical use. Regulations like GDPR, CCPA, and sector-specific mandates in healthcare and finance are driving organizations to invest in HPDA solutions that ensure data security, governance, and transparency. These solutions help manage large datasets, track data usage, and protect sensitive information, while adhering to data sovereignty laws. As compliance becomes more critical, the demand for secure, compliant HPDA platforms is fueling market growth.

Impact Analysis of COVID-19 and Way Forward:

The COVID-19 pandemic had a positive impact on the global High-Performance Data Analytics (HPDA) market as businesses rapidly shifted to digital and cloud-based operations. This surge in digital transformation increased the volume of data generated and highlighted the need for more advanced analytics to manage and extract insights from vast datasets. The rise of remote work and the growing reliance on cloud infrastructure created new opportunities for HPDA solutions, as companies sought to optimize operations, enhance decision-making, and maintain competitiveness. The pandemic also accelerated the adoption of AI and machine learning in analytics, driving the demand for robust and scalable data analytics platforms.

Competitive Landscape:

The global high-performance data analytics market is highly competitive in nature, with a mix of established industry leaders and emerging players. The key players in the global high-performance data analytics market are:

IBM Corporation

Microsoft Corporation

Alphabet Inc. (Google Cloud Platform)

Amazon.Com, Inc. (Amazon Web Services, Inc.)

Intel Corporation

Atos SE

Oracle Corporation

Hewlett Packard Enterprise Company

Dell Technologies Inc.

SAS Institute Inc.

Fujitsu Limited

Teradata Corporation

Juniper Networks, Inc.

The key players are constantly investing in strategic initiatives, such as new product launch, introducing their products to emerging markets and more, to maintain a competitive edge in this market. For instance, in January 2025, Amazon Web Services (AWS) announced a collaboration with HERE Technologies to enhance the development of Software-Defined Vehicles (SDVs) by combining AWS cloud infrastructure with HERE's mapping solutions. Similarly, in April 2024, SAS unveiled a host of features aimed at helping analytics users more efficiently access and analyze data with AI, including a generative AI assistant and prebuilt AI models.

Table of Contents

1. Executive Summary

2. Introduction

  • 2.1 High Performance Data Analytics: An Overview
    • 2.1.1 Introduction to High Performance Data Analytics
    • 2.1.2 Major Benefits of High-Performance Data Analytics (HPDA)
  • 2.2 High Performance Data Analytics Segmentation: An Overview
    • 2.2.1 High Performance Data Analytics Segmentation

3. Global Market Analysis

  • 3.1 Global High-Performance Data Analytics Market: An Analysis
    • 3.1.1 Global High-Performance Data Analytics Market: An Overview
    • 3.1.2 Global High-Performance Data Analytics Market by Value
    • 3.1.3 Global High-Performance Data Analytics Market by Component (Hardware, Software, and Services)
    • 3.1.4 Global High-Performance Data Analytics Market by Deployment (On-Premise and On-Demand)
    • 3.1.5 Global High-Performance Data Analytics Market by Organization Size (Large Enterprises and Small and Medium Enterprises)
    • 3.1.6 Global High-Performance Data Analytics Market by End-User (BFSI, Retail and E-commerce, Energy and Utilities, Government and Defense, and Other)
    • 3.1.7 Global High-Performance Data Analytics Market by Region
  • 3.2 Global High-Performance Data Analytics Market: Component Analysis
    • 3.2.1 Global High-Performance Data Analytics Market Component: An Overview
    • 3.2.2 Global Hardware High-Performance Data Analytics Market by Value
    • 3.2.3 Global Software High-Performance Data Analytics Market by Value
    • 3.2.4 Global Services High-Performance Data Analytics Market by Value
  • 3.3 Global High-Performance Data Analytics Market: Deployment Analysis
    • 3.3.1 Global High-Performance Data Analytics Market by Deployment: An Overview
    • 3.3.2 Global On-Demand High-Performance Data Analytics Market by Value
    • 3.3.3 Global On-Premise High-Performance Data Analytics Market by Value
  • 3.4 Global High-Performance Data Analytics Market: Organization Size Analysis
    • 3.4.1 Global High-Performance Data Analytics Market by Organization Size: An Overview
    • 3.4.2 Global Large Enterprises High-Performance Data Analytics Market by Value
    • 3.4.3 Global Small and Medium Enterprises High-Performance Data Analytics Market by Value
  • 3.5 Global High-Performance Data Analytics Market: End-User Industry Analysis
    • 3.5.1 Global High-Performance Data Analytics Market by End-User Industry: An Overview
    • 3.5.2 Global BFSI High-Performance Data Analytics Market by Value
    • 3.5.3 Global Retail and E-Commerce High-Performance Data Analytics Market by Value
    • 3.5.4 Global Energy and Utilities High-Performance Data Analytics Market by Value
    • 3.5.5 Global Government and Defense High-Performance Data Analytics Market by Value
    • 3.5.6 Global Other High-Performance Data Analytics Market by Value

4. Regional Market Analysis

  • 4.1 North America High-Performance Data Analytics Market: An Analysis
    • 4.1.1 North America High-Performance Data Analytics Market: An Overview
    • 4.1.2 North America High-Performance Data Analytics Market by Value
    • 4.1.3 North America High-Performance Data Analytics Market by Region
    • 4.1.4 The US High-Performance Data Analytics Market by Value
    • 4.1.5 Canada High-Performance Data Analytics Market by Value
    • 4.1.6 Mexico High-Performance Data Analytics Market by Value
  • 4.2 Europe High-Performance Data Analytics Market: An Analysis
    • 4.2.1 Europe High-Performance Data Analytics Market: An Overview
    • 4.2.2 Europe High-Performance Data Analytics Market by Value
    • 4.2.3 Europe High-Performance Data Analytics Market by Region
    • 4.2.4 Germany High-Performance Data Analytics Market by Value
    • 4.2.5 UK High-Performance Data Analytics Market by Value
    • 4.2.6 France High-Performance Data Analytics Market by Value
    • 4.2.7 Italy High-Performance Data Analytics Market by Value
    • 4.2.8 Rest of Europe High-Performance Data Analytics Market by Value
  • 4.3 Asia Pacific High-Performance Data Analytics Market: An Analysis
    • 4.3.1 Asia Pacific High-Performance Data Analytics Market: An Overview
    • 4.3.2 Asia Pacific High-Performance Data Analytics Market by Value
    • 4.3.3 Asia Pacific High-Performance Data Analytics Market by Region
    • 4.3.4 China High-Performance Data Analytics Market by Value
    • 4.3.5 Japan High-Performance Data Analytics Market by Value
    • 4.3.6 India High-Performance Data Analytics Market by Value
    • 4.3.7 Rest of Asia Pacific High-Performance Data Analytics Market by Value
  • 4.4 Rest of the World High-Performance Data Analytics Market: An Analysis
    • 4.4.1 Rest of the World High-Performance Data Analytics Market: An Overview
    • 4.4.2 Rest of the World High-Performance Data Analytics Market by Value

5. Impact of COVID-19

  • 5.1 Impact of COVID-19 on Global High-Performance Data Analytics Market
  • 5.2 Post COVID-19 Impact on Global High-Performance Data Analytics Market

6. Market Dynamics

  • 6.1 Growth Drivers
    • 6.1.1 Expanding Data Volumes
    • 6.1.2 Rising Adoption of Cloud Computing
    • 6.1.3 Proliferation of OT/IOT and Connected Devices
    • 6.1.4 Rapid Growth in Number of IT and Database Industry
    • 6.1.5 Increasing Emphasis on Data-Driven Decision-Making
  • 6.2 Challenges
    • 6.2.1 Mounting Concerns Over Data Privacy
    • 6.2.2 Significant Initial Investment Costs
  • 6.3 Market Trends
    • 6.3.1 Escalating Edge Computing
    • 6.3.2 High Emergence of Advanced Technologies like AI
    • 6.3.3 Advancements in High Performance Computing Activities
    • 6.3.4 Rising Regulatory Compliance Requirements
    • 6.3.5 Surging Adoption of Real-Time Analytics

7. Competitive Landscape

  • 7.1 Global High Performance Data Analytics Market: Competitive Landscape

8. Company Profiles

  • 8.1 IBM Corporation
    • 8.1.1 Business Overview
    • 8.1.2 Operating Segments
    • 8.1.3 Business Strategies
  • 8.2 Microsoft Corporation
    • 8.2.1 Business Overview
    • 8.2.2 Operating Segments
    • 8.2.3 Business Strategies
  • 8.3 Alphabet Inc. (Google Cloud Platform)
    • 8.3.1 Business Overview
    • 8.3.2 Operating Segments
    • 8.3.3 Business Strategies
  • 8.4 Amazon.Com, Inc. (Amazon Web Services, Inc.)
    • 8.4.1 Business Overview
    • 8.4.2 Operating Segments
    • 8.4.3 Business Strategies
  • 8.5 Intel Corporation
    • 8.5.1 Business Overview
    • 8.5.2 Operating Regions
    • 8.5.3 Business Strategies
  • 8.6 Atos SE
    • 8.6.1 Business Overview
    • 8.6.2 Operating Regions
    • 8.6.3 Business Strategies
  • 8.7 Oracle Corporation
    • 8.7.1 Business Overview
    • 8.7.2 Operating Segments
    • 8.7.3 Business Strategies
  • 8.8 Hewlett Packard Enterprise Company
    • 8.8.1 Business Overview
    • 8.8.2 Operating Segments
    • 8.8.3 Business Strategies
  • 8.9 Dell Technologies Inc.
    • 8.9.1 Business Overview
    • 8.9.2 Operating Segments
    • 8.9.3 Business Strategies
  • 8.10 SAS Institute Inc.
    • 8.10.1 Business Overview
    • 8.10.2 Operating Regions
    • 8.10.3 Business Strategies
  • 8.11 Fujitsu Limited
    • 8.11.1 Business Overview
    • 8.11.2 Operating Segments
    • 8.11.3 Business Strategies
  • 8.12 Teradata Corporation
    • 8.12.1 Business Overview
    • 8.12.2 Operating Segments
    • 8.12.3 Business Strategies
  • 8.13 Juniper Networks, Inc.
    • 8.13.1 Business Overview
    • 8.13.2 Operating Regions
    • 8.13.3 Business Strategy

List of Tables

  • Table 1: Global High Performance Data Analytics Market: Recent Developments & Product Offerings

List of Figures

  • Figure 1: Major Benefits of High-Performance Data Analytics (HPDA)
  • Figure 2: High Performance Data Analytics Segmentation
  • Figure 3: Global High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 4: Global High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 5: Global High-Performance Data Analytics Market by Component; 2024 (Percentage, %)
  • Figure 6: Global High-Performance Data Analytics Market by Deployment; 2024 (Percentage, %)
  • Figure 7: Global High-Performance Data Analytics Market by Organization Size; 2024 (Percentage, %)
  • Figure 8: Global High-Performance Data Analytics Market by End-User; 2024 (Percentage, %)
  • Figure 9: Global High-Performance Data Analytics Market by Region; 2024 (Percentage, %)
  • Figure 10: Global Hardware High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 11: Global Hardware High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 12: Global Software High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 13: Global Software High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 14: Global Services High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 15: Global Services High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 16: Global On-Demand High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 17: Global On-Demand High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 18: Global On-Premise High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 19: Global On-Premise High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 20: Global Large Enterprises High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 21: Global Large Enterprises High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 22: Global Small and Medium Enterprises High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 23: Global Small and Medium Enterprises High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 24: Global BFSI High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 25: Global BFSI High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 26: Global Retail and E-Commerce High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 27: Global Retail and E-Commerce High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 28: Global Energy and Utilities High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 29: Global Energy and Utilities High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 30: Global Government and Defense High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 31: Global Government and Defense High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 32: Global Other High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 33: Global Other High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 34: North America High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 35: North America High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 36: North America High-Performance Data Analytics Market by Region; 2024 (Percentage, %)
  • Figure 37: The US High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 38: The US High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 39: Canada High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 40: Canada High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 41: Mexico High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 42: Mexico High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 43: Europe High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 44: Europe High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 45: Europe High-Performance Data Analytics Market by Region; 2024 (Percentage, %)
  • Figure 46: Germany High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 47: Germany High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 48: UK High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 49: UK High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 50: France High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 51: France High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 52: Italy High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 53: Italy High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 54: Rest of Europe High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 55: Rest of Europe High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 56: Asia Pacific High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 57: Asia Pacific High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 58: Asia Pacific High-Performance Data Analytics Market by Region; 2024 (Percentage, %)
  • Figure 59: China High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 60: China High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 61: Japan High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 62: Japan High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 63: India High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 64: India High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 65: Rest of Asia Pacific High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 66: Rest of Asia Pacific High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 67: Rest of the World High-Performance Data Analytics Market by Value; 2020-2024 (US$ Billion)
  • Figure 68: Rest of the World High-Performance Data Analytics Market by Value; 2025-2030 (US$ Billion)
  • Figure 69: Global Volume of Data/Information Created, Captured, Copied, and Consumed; 2019-2024 (Zettabytes)
  • Figure 70: Global End Users Spending Of Public Cloud Management and Security Services; 2019-2024 (US$ Billion)
  • Figure 71: Global Active IOT Connections (Installed Base); 2022-2029 (Billion)
  • Figure 72: Global Big Data Market Revenue Forecast; 2021-2026 (US$ Billion)
  • Figure 73: Global Spending on Edge Computing; 2022-2026 (US$ Billion)
  • Figure 74: Global Artificial Intelligence Market; 2021-2030 (US$ Billion)
  • Figure 75: International Business Machines Corporation (IBM) Revenue by Segment; 2023 (Percentage, %)
  • Figure 76: Microsoft Corp. Revenue by Segment; 2023 (Percentage, %)
  • Figure 77: Alphabet Inc. Revenues by Type; 2023 (Percentage, %)
  • Figure 78: Amazon.Com, Inc. Net Sales by Segment; 2023 (Percentage, %)
  • Figure 79: Amazon.Com, Inc. Net Sales by Segment; 2023 (Percentage, %)
  • Figure 80: Atos SE Revenue by Regions; 2023 (Percentage, %)
  • Figure 81: Oracle Corporation Revenue by Segment; 2023 (Percentage, %)
  • Figure 82: Hewlett Packard Enterprise Company Net Revenue by Segments; 2023 (Percentage, %)
  • Figure 83: Dell Technologies Inc. Net Revenue by Segments; 2023 (Percentage, %)
  • Figure 84: SAS Institute Inc. Sales by Regions; 2023 (Percentage, %)
  • Figure 85: Fujitsu Limited Revenue by Segment; 2023 (Percentage, %)
  • Figure 86: Teradata Corporation Revenue by Operating Segment; 2023 (Percentage, %)
  • Figure 87: Juniper Networks, Inc. Revenue by Regions; 2023 (Percentage, %)