世界のハイパフォーマンスデータ分析(HPDA)市場 – 2030年までの予測

出版社 Daedal Research
出版年月 2025年2月

Global High-Performance Data Analytics Market

世界の高性能データ分析市場 : コンポーネント別分析(ハードウェア、ソフトウェアおよびサービス)、展開(オンデマンドおよびオンプレミス)、組織規模 [中小企業(SME)および大企業]、エンドユーザー(BFSI、エネルギーおよび公益事業、小売および電子商取引、政府および防衛およびその他)、地域別分析、市場規模と動向 – 2030年までの予測
Global High-Performance Data Analytics Market: Analysis By Component (Hardware, Software and Services), By Deployment (On-Demand and On-Premise), By Organization Size (Small and Medium Enterprises (SMEs) and Large Enterprises), By End User (BFSI, Energy and Utilities, Retail and E-commerce, Government and Defense and Other), By Region Size and Trends with Impact Analysis of COVID-19 and Forecast up to 2030

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.

世界のハイパフォーマンスデータ分析(HPDA)市場は、2024 年に 1,086 億 6000 万米ドルと評価されています。市場価値は 2030 年までに 3518 億 7000 万米ドルに達すると予想されています。ハイパフォーマンスデータ分析 (HPDA) は、大規模なデータセットを効率的に処理および分析するための、ハイパフォーマンスコンピューティング (HPC) 機能と高度なデータ分析技術の統合として定義できます。高度なコンピューティング技術と堅牢な分析ツールを統合することで、企業はより迅速に洞察を獲得し、意思決定プロセスを強化し、業務全体にわたるイノベーションを推進できます。

世界のハイパフォーマンスデータ分析(HPDA)市場 – 2030年までの予測
Global High-Performance Data Analytics Market

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.

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.