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市場調査レポート
商品コード
1629023

高性能データ分析の市場規模、シェア、成長分析、コンポーネント別、データタイプ別、展開モード別、最終用途別、地域別 - 産業予測、2025~2032年

High Performance Data Analytics Market Size, Share, Growth Analysis, By Component (Hardware, Software), By Data Type (Unstructured, Semi-structured), By Deployment Mode, By End Use, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 331 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
高性能データ分析の市場規模、シェア、成長分析、コンポーネント別、データタイプ別、展開モード別、最終用途別、地域別 - 産業予測、2025~2032年
出版日: 2025年01月08日
発行: SkyQuest
ページ情報: 英文 331 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

高性能データ分析の世界市場規模は2023年に499億米ドルと評価され、2024年の544億4,000万米ドルから2032年には1,092億8,000万米ドルに成長し、予測期間中(2025年~2032年)のCAGRは9.1%で成長する見通しです。

高性能データ分析(HPDA)は、高度な分析と高性能コンピューティング(HPC)を融合させ、膨大なデータセットから実用的な知見を抽出するもので、デジタル化が進む中でデータの増加が加速していることがその要因となっています。クラウド・コンピューティングの進化により、企業は複雑な課題に対処し、業務を最適化するために、堅牢なデータ分析機能を活用できるようになりました。このように急成長する高性能データ分析インフラ市場は、情報に基づいた意思決定のために迅速かつ正確な分析を必要とする政府や企業にとって特に魅力的です。IntelやHPのような業界大手が最前線に立ち、HPCとAIを統合して技術の進歩を促進しています。特にエネルギーのような分野では、HPCを活用してピーク時の需要を予測しており、迅速なデータ分析がイノベーションの推進や気候変動のような重大な問題への対処に極めて重要であることを強調しています。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次データと一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • 規制情勢
  • ケーススタディ
  • 技術の進歩

高性能データ分析市場規模:コンポーネント別

  • 市場概要
  • ハードウェア
    • サーバ
    • ストレージ
  • ソフトウェア
  • サービス
    • マネージドサービス
    • プロフェッショナルサービス
    • コンサルティングサービス
    • 教育と訓練
    • サポートとメンテナンス

高性能データ分析市場規模:データタイプ別

  • 市場概要
  • 非構造化
  • 半構造化
  • 構造化

高性能データ分析市場規模:展開モード別

  • 市場概要
  • オンプレミス
  • オンデマンド/クラウド

高性能データ分析市場規模:最終用途別

  • 市場概要
  • BFSI
  • 政府と防衛
  • 製造業
  • 学術と調査
  • ヘルスケアとライフサイエンス
  • メディアとエンターテイメント
  • エネルギーと公共事業
  • 小売・消費財
  • 運輸・物流
  • ITおよび通信
  • その他

高性能データ分析市場規模

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 市場の最近の動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 会社概要
    • 製品ポートフォリオ分析
    • セグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • SAS Institute Inc.(USA)
  • Hewlett Packard Enterprise Company(USA)
  • Oracle Corporation(USA)
  • ATOS SE(France)
  • Microsoft Corporation(USA)
  • Dell Technologies Inc.(USA)
  • IBM Corporation(USA)
  • Fujitsu Limited(Japan)
  • Intel Corporation(USA)
  • Amazon Web Services Inc.(USA)
  • Google LLC(USA)
  • Juniper Networks Inc.(USA)
  • SAP SE(Germany)
  • Tableau Software(USA)
  • Teradata Corporation(USA)
  • MicroStrategy Incorporated(USA)
  • Cisco Systems Inc.(USA)

結論と推奨事項

目次
Product Code: SQMIG45C2089

Global High Performance Data Analytics Market size was valued at USD 49.9 billion in 2023 and is poised to grow from USD 54.44 billion in 2024 to USD 109.28 billion by 2032, growing at a CAGR of 9.1% during the forecast period (2025-2032).

High-Performance Data Analytics (HPDA) merges advanced analytics with high-performance computing (HPC) to extract actionable insights from vast data sets, fueled by the accelerating growth of data in an increasingly digital landscape. With the evolution of cloud computing, organizations can now harness robust data analysis capabilities to address complex challenges and optimize operations. This burgeoning market for high-performance data analysis infrastructure is particularly appealing to governments and corporations, which require quick, precise analytics for informed decision-making. Industry giants like Intel and HP are at the forefront, integrating HPC with AI to foster technological advancements. Notably, sectors like energy are leveraging HPC to predict peak demands, underscoring how rapid data analysis is pivotal in driving innovation and addressing critical issues such as climate change.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global High Performance Data Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global High Performance Data Analytics Market Segmental Analysis

Global High Performance Data Analytics Market is segmented by Component, Data Type, Deployment Mode, End Use and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Data Type, the market is segmented into Unstructured, Semi-structured and Structured. Based on Deployment Mode, the market is segmented into On-premises and On-demand/On-cloud. Based on End Use, the market is segmented into BFSI, Government and Defense, Manufacturing, Academia and Research, Healthcare and life sciences, Media and Entertainment, Energy and Utilities, Retail and Consumer Goods, Transportation and Logistics, IT and Telecommunications and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global High Performance Data Analytics Market

The global high performance data analytics market is witnessing significant growth primarily driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies. These advanced algorithms have the ability to analyze vast amounts of data at unprecedented speeds, allowing organizations to derive valuable insights and make informed decisions quickly. By leveraging automation and predictive analytics, businesses across various sectors can enhance customer experiences, optimize operations, and create new revenue streams. This trend underscores the crucial role of AI and ML in transforming data analytics into a powerful tool for driving efficiency and competitiveness in the market.

Restraints in the Global High Performance Data Analytics Market

One of the significant challenges confronting the global high-performance data analytics market is the escalating concern over data security and privacy. As organizations collect and analyze vast amounts of sensitive information, they become more vulnerable to data breaches, unauthorized access, and potential violations of regulatory standards. The increasing complexity of data privacy regulations, such as the CCPA and GDPR, presents additional difficulties for businesses striving to leverage their data assets while ensuring compliance. To mitigate these risks and gain the trust of customers and stakeholders, it is essential to implement robust data protection measures, enforce rigorous access controls, and establish transparent data governance frameworks.

Market Trends of the Global High Performance Data Analytics Market

The Global High Performance Data Analytics (HPDA) market is experiencing significant growth driven by the rising adoption of edge computing technologies. As organizations increasingly utilize IoT devices and sensors, the volume of data generated at the edge has surged, necessitating advanced analytic solutions that can process and derive insights in real-time. This shift enables immediate decision-making in critical applications such as smart cities and autonomous vehicles, where latency is a crucial factor. The integration of edge computing into HPDA not only enhances operational efficiency but also expands analytical capabilities, positioning it as a key trend that will shape the future of data analytics.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Regulatory Landscape
  • Case Studies
  • Technological Advancement

Global High Performance Data Analytics Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Hardware
    • Server
    • Storage
  • Software
  • Services
    • Managed services
    • Professional services
    • Consulting Services
    • Education and training
    • Support and maintenance

Global High Performance Data Analytics Market Size by Data Type & CAGR (2025-2032)

  • Market Overview
  • Unstructured
  • Semi-structured
  • Structured

Global High Performance Data Analytics Market Size by Deployment Mode & CAGR (2025-2032)

  • Market Overview
  • On-premises
  • On-demand/On-cloud

Global High Performance Data Analytics Market Size by End Use & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Government and Defense
  • Manufacturing
  • Academia and Research
  • Healthcare and life sciences
  • Media and Entertainment
  • Energy and Utilities
  • Retail and Consumer Goods
  • Transportation and Logistics
  • IT and Telecommunications
  • Others

Global High Performance Data Analytics Market Size & CAGR (2025-2032)

  • North America (Component, Data Type, Deployment Mode, End Use)
    • US
    • Canada
  • Europe (Component, Data Type, Deployment Mode, End Use)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Data Type, Deployment Mode, End Use)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Data Type, Deployment Mode, End Use)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Data Type, Deployment Mode, End Use)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • SAS Institute Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hewlett Packard Enterprise Company (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ATOS SE (France)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dell Technologies Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fujitsu Limited (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Juniper Networks Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tableau Software (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Teradata Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • MicroStrategy Incorporated (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cisco Systems Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations