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市場調查報告書
商品編碼
1732180

全球資料中心加速器市場按處理器類型、類型、應用、最終用戶和地區分類(2026-2032 年)

Data Center Accelerator Market By Processor Type (CPU, GPU), By Type (Cloud Data Center, HPC Data Center), By Application (Deep Learning Training, Public Cloud Interface), By End- User (IT And Telecom, Healthcare), And Region For 2026-2032

出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

資料中心加速器市場評估(2026-2032)

隨著人工智慧、機器學習和巨量資料分析等資料密集型應用的興起,資料中心加速器的需求量也日益成長。這些應用需要大量資料處理能力,而常規CPU無法有效率處理。預計到2024年,其市場規模將超過160.1億美元,到2032年將達到約2,745.7億美元。

配備專用硬體和平行處理能力的資料中心加速器可以顯著加快這些活動的速度,從而更快地獲得洞察並得出更準確的結果。雲端處理的廣泛採用和邊緣運算的興起也推動了對資料中心加速器的需求。資料中心加速器提供即時應用所需的運算能力,同時降低延遲。對經濟高效的資料中心加速器日益成長的需求,推動市場在2026年至2032年期間的複合年成長率達到47.06%。

資料中心加速器市場定義/概述

資料中心加速器是專用硬體元件,可提高資料中心資料處理和運算流程的效能。這些加速器包括圖形處理單元 (GPU)、現場可程式閘陣列 (FPGA) 和專用積體電路 (ASIC),旨在比通用 CPU 更有效率地執行某些運算。這些加速器常用於加速機器學習、巨量資料分析和高效能運算等操作,並透過將這些繁重的操作從 CPU 卸載,從而提高整體系統的效率和效能。資料中心加速器的整合可以實現更快的資料處理速度、更低的延遲以及更強的複雜工作負載處理能力,所有這些對於需要快速、可擴展運算資源的現代化應用程式來說都至關重要。

隨著高效能運算需求的成長,資料中心加速器的前景一片光明。加速器技術的進步預計將推動雲端處理、邊緣運算和人工智慧領域的創新。加速器將在滿足即時分析、自主系統和高級模擬等數據密集型應用日益成長的需求方面發揮關鍵作用。

持續的研發活動可望推動更專業、更有效率的加速器的發展,從而進一步最佳化資料中心的運作。此外,5G的廣泛普及和物聯網(IoT)的擴展預計將推動對能夠高速處理大量資料的加速器的需求。

是什麼推動了資料中心加速器需求的激增?

資料中心加速器市場受雲端處理服務日益普及的驅動。全球終端用戶在公共雲端服務上的支出預計將成長20.7%,從2022年的4,903億美元增加到2024年的5,918億美元,這將增加對強大雲端基礎設施的需求。這種擴張需要部署強大的資料中心加速器,以滿足雲端基礎應用的效能和效率需求,從而推動此類專用硬體組件市場的發展。

數據生成和處理的快速成長推動著資料中心加速器市場的發展。 IDC 預測,到 2025 年,全球資料量將從 2018 年的 33 Zetta位元組成長到 175 Zetta位元組,對高效資料處理解決方案的需求也日益迫切。資料爆炸性成長需要更高的資料處理能力,而資料中心加速器對於處理和最佳化大量產生資訊至關重要,從而增加了對這些專用硬體元件的市場需求。

哪些因素限制了資料中心加速器市場的成長?

高成本正在影響資料中心加速器市場的成長。購置和營運先進加速器所需的高昂成本可能會阻礙一些組織,尤其是資金有限的中小企業採用此類技術。這些高成本限制了最尖端科技的獲取,並影響了推動成長所需的公眾認可度,從而阻礙了市場擴張。

監管方面的擔憂正在阻礙資料中心加速器市場的成長。嚴格的資料安全、隱私和環境標準法規可能會增加合規成本和資料中心營運的複雜性。這些法規阻礙了新技術的採用,增加了營運成本,最終限制了市場的成長。企業將不得不為更安全、更環保的解決方案付費,這可能會阻礙他們使用最新的加速器,從而限制整體市場的擴張。

目錄

第1章 全球資料中心加速器市場簡介

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章:已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 資料中心加速器的全球市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章。按處理器類型分類的世界資料中心加速器市場

  • 概述
  • CPU
  • GPU
  • FPGA
  • ASIC

第6章全球資料中心加速器市場(按應用)

  • 概述
  • 深度學習訓練
  • 公共雲端介面
  • 企業介面

7. 全球資料中心加速器市場(按類型)

  • 概述
  • 雲端資料中心
  • 高效能運算資料中心

第8章全球資料中心加速器市場(按最終用戶)

  • 概述
  • 資訊科技/通訊
  • 衛生保健
  • 銀行、金融服務和保險(BFSI)
  • 政府
  • 能源
  • 製造業

9. 全球資料中心加速器市場(按地區)

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第10章全球資料中心加速器市場的競爭格局

  • 概述
  • 各公司市場排名
  • 主要發展策略

第11章 公司簡介

  • Intel Corporation
  • NVIDIA Corporation
  • Advanced Micro Devices Inc.
  • Achronix Semiconductor Corporation
  • Xilinx Inc.
  • Oracle Corporation
  • Hewlett Packard Enterprise Company
  • Dell Technologies Inc.
  • IBM Corporation

第12章 重大進展

  • 產品發布/開發
  • 合併與收購
  • 業務擴展
  • 夥伴關係與合作

第13章 附錄

  • 相關調查
簡介目錄
Product Code: 32479

Data Center Accelerator Market Valuation - 2026-2032

Data center accelerators are in high demand due to the rise of data-intensive applications like artificial intelligence, machine learning, and big data analytics. These applications demand large quantities of data processing power, which ordinary CPUs cannot handle efficiently. The market size surpass USD 16.01 Billion valued in 2024 to reach a valuation of around USD 274.57 Billion by 2032.

Data center accelerators, with their specialized hardware and parallel processing capabilities, can considerably speed up these activities, resulting in faster insights and more accurate outcomes. The increased popularity of cloud computing and the rise of edge computing are also driving demand for data center accelerators, which provide the computational capacity required for real-time applications while reducing latency. The rising demand for cost-effective and efficient data center accelerator is enabling the market grow at a CAGR of 47.06% from 2026 to 2032.

Data Center Accelerator Market: Definition/ Overview

Data center accelerators are specialized hardware components that improve the performance of data processing and computing processes within data centers. These accelerators, which include Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), and Application-certain Integrated Circuits (ASICs), are designed to do certain computations more effectively than general-purpose CPUs. They are frequently used to speed up operations like machine learning, big data analytics, and high-performance computing by offloading these demanding processes from the CPU, hence enhancing overall system efficiency and performance. The integration of data center accelerators enables quicker data processing, lower latency, and improved capacity to handle complicated workloads, all of which are essential for modern applications that require rapid and scalable computing resources.

As demand for high-performance computing grows, the prospect of data center accelerators seems optimistic. Advances in accelerator technologies are projected to stimulate innovation in cloud computing, edge computing, and artificial intelligence. Accelerators will play an important role in satisfying the growing demand for data-intensive applications such as real-time analytics, autonomous systems, and advanced simulations.

Continuous research and development activities are likely to result in more specialized and efficient accelerators, which will further optimize data center operations. The proliferation of 5G and the expansion of the Internet of Things (IoT) are also predicted to raise the demand for accelerators capable of handling large volumes of data at high processing rates.

What are the Factors that Surge the Demand for the Data Center Accelerator Market?

The data center accelerator market is being driven by the increased popularity of cloud computing services. As global end-user spending on public cloud services is predicted to rise by 20.7% to USD 591.8 Billion in 2024, up from $490.3 billion in 2022, the need for robust cloud infrastructure grows. This expansion needs the deployment of powerful data center accelerators to match the performance and efficiency demands of growing cloud-based applications, boosting the market for these specialized hardware components.

The exponential expansion of data generation and processing is propelling the data center accelerator market. With IDC forecasting that the global datasphere will grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, the demand for effective data handling solutions becomes increasingly urgent. This data explosion needs enhanced data processing capabilities, making data center accelerators vital to handling and optimizing the massive amounts of information generated, driving market demand for these specialized hardware components.

What Factors Hinder the Growth of the Data Center Accelerator Market?

High costs have an impact on the growth of the data center accelerator market. The large cost necessary to acquire and operate advanced accelerators may discourage some organizations from adopting these technologies, particularly smaller businesses with limited finances. These high costs hinder market expansion by restricting access to cutting-edge technologies and affecting general acceptance, which is required to fuel growth.

Regulatory concerns hinder the growth of the data center accelerator market. Strict rules governing data security, privacy, and environmental standards can increase compliance costs and complexity for data center operations. These laws impede the adoption of new technology and increase operational costs, ultimately limiting market growth. Companies may need to spend on more secure and environmentally friendly solutions, which may discourage some from using modern accelerators and limit overall market expansion.

Category-Wise Acumens

Which Factors Enhance the Use of the Data Center Accelerator Market?

The GPU segment is currently dominating the data center accelerator market. The tremendous efficiency of Graphics Processing Units (GPUs) in handling computationally significant tasks like AI, ML, and DL is propelling the data center accelerator market. GPUs are specifically built to handle parallel processing, making them ideal for large-scale calculations in AI, ML, and deep learning applications. Their capacity to expedite these processes improves data center performance and efficiency, driving up demand for GPUs as essential elements in modern data centers. GPUs' ability to handle complicated tasks efficiently makes them an essential element in the expansion of the data center accelerator market.

The Graphics Processing Unit (GPU) segment is increasingly popular among data center operators and cloud service providers. GPUs are popular owing to their higher performance in parallel processing workloads, which is vital for high-demand applications such as AI, machine learning, and big data analytics. Their ability to expedite computationally intensive processes makes them extremely efficient and cost-effective, resulting in widespread deployment in data centers and cloud environments. The increasing desire for GPUs among operators and providers is considerably contributing to the growth of the data center accelerator market.

Which Factors Boost the Use of the Data Center Accelerator Market?

The deep learning training segment is currently dominating the data center accelerator market. The demand for deep learning model training will propel the deep learning training section of the data center accelerator sector. Deep learning models necessitate significant computational capacity and efficient processing capabilities, which accelerators like GPUs and specialized AI chips deliver. These accelerators are required to handle the complicated and data-intensive operations associated with training deep learning algorithms, resulting in a demand for improved hardware that can meet these requirements.

The fact that data center accelerators are well-suited for deep learning training will fuel the expansion of this area of the data center accelerator market. Accelerators such as GPUs and TPUs are specifically designed to handle the parallel processing and high computational demands required to train deep learning models. Their ability to process massive amounts of data easily and rapidly makes them indispensable for this task, resulting in rising usage in data centers. The demand for these specialized accelerators to assist complicated model training will drive further expansion in the deep learning training market.

Country/Region-wise Acumens

Will the Strong Infrastructure Propel the North American Region for the Data Center Accelerator Market?

The North America region is currently dominating the data center accelerator market. The strong infrastructure in the North American region is propelling the data center accelerator market. The region's well-developed data center network, with the number of data centers in the United States expanding from 2,700 in 2000 to about 3 million in 2020, helps to meet the demand for advanced data center accelerators. The US Bureau of Labor Statistics predicts a 15% increase in employment for computer and information research scientists between 2021 and 2032, highlighting the growing tech workforce that drives the adoption of these accelerators, which are critical for handling complex workloads and maintaining North America's global competitiveness.

North American technological centers, particularly those in the United States, are driving the expansion of the data center accelerator market. These hotspots, such as Silicon Valley, foster innovation and attract significant investment in modern computing technologies. According to the Bureau of Economic Analysis, the digital economy contributed USD 2.05 Trillion, or 9.6% of US GDP, in 2019. With over 2,000 technology enterprises in the San Francisco Bay Area requiring advanced data center capabilities, there is a strong demand for high-performance computing solutions. This need is reflected in the overall market, with the global data center accelerator market predicted to grow from USD 13.7 Billion in 2021 to $65.3 billion in 2026.

Will the Government Investments Expand the Asia Pacific Region for the Data Center Accelerator Market?

The Asia-Pacific region is experiencing the fastest growth in the data center accelerator market. Government investments are propelling the data center accelerator market in Asia-Pacific. Substantial governmental investments in digital infrastructure are expected to reach USD 380 Billion by 2025, greatly improving data center capabilities. These investments are propelling the market forward, with Research and Markets forecasting growth from USD 13.7 Billion in 2021 to USD 32.7 Billion by 2026. This increase is being driven by the growing adoption of AI, machine learning, and big data analytics, all of which require the high-performance computing capabilities afforded by sophisticated data center accelerators.

Rapid economic development in the Asia Pacific region is propelling the data center accelerator market. The region's data center business is growing rapidly, with forecasts ranging from USD 13.7 Billion in 2021 to USD 32.7 Billion in 2026. This surge is being driven by increased investments in cloud services, big data analytics, and AI applications, as evidenced by the Indian government's initiative to increase data centers from 138 in 2022 to over 200 by 2025, and China's expected increase in data center racks from 4.4 million in 2020 to 6.5 million by 2025. The widespread deployment of 5G technology, with an estimated 1.2 billion 5G connections by 2025, increases the demand for powerful data center accelerators to meet these high-performance computing requirements.

Competitive Landscape

The data center accelerator market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the data center accelerator market include: Intel Corporation, NVIDIA Corporation, Advanced Micro Devices Inc., Achronix Semiconductor Corporation, Oracle Corporation, Hewlett Packard Enterprise Company, Dell Technologies Inc., IBM Corporation, Cisco Systems Inc., Xilinx Inc.

Latest Developments

In June 2024, AMD announced new EPYC CPUs to broaden their line.

In March 2024, At GTC 2024, NVIDIA unveiled its Data Center Platform Play. This announcement includes a comprehensive approach for addressing diversified data center requirements, including sophisticated technology and solutions to meet various processing needs.

In October 2024, Meta Inc. designated their latest chip the Meta Training and Inference Accelerator (MTIA). It improves the speed of AI training and inference tasks.

Data Center Accelerator Market, By Category

  • Processor Type:
  • CPU
  • GPU
  • FPGA
  • ASIC
  • Type:
  • Cloud Data Center
  • HPC Data Center
  • Application:
  • Deep learning training
  • Public cloud interface
  • Enterprise interface
  • End-User:
  • IT & Telecom
  • Healthcare
  • Banking, Financial Services and Insurance (BFSI)
  • Government
  • Energy
  • Manufacturing
  • Region:
  • North America
  • Europe
  • Asia-Pacific
  • South Americas
  • Middle East & Africa

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL DATA CENTER ACCELERATOR MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL DATA CENTER ACCELERATOR MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE

  • 5.1 Overview
  • 5.2 CPU
  • 5.3 GPU
  • 5.4 FPGA
  • 5.5 ASIC

6 GLOBAL DATA CENTER ACCELERATOR MARKET, BY APPLICATION

  • 6.1 Overview
  • 6.2 Deep learning training
  • 6.3 Public cloud interface
  • 6.4 Enterprise interface

7 GLOBAL DATA CENTER ACCELERATOR MARKET, BY TYPE

  • 7.1 Overview
  • 7.2 Cloud Data Center
  • 7.3 HPC Data Center

8 GLOBAL DATA CENTER ACCELERATOR MARKET, BY END-USER

  • 8.1 Overview
  • 8.2 IT & Telecom
  • 8.3 Healthcare
  • 8.4 Banking, Financial Services and Insurance (BFSI)
  • 8.5 Government
  • 8.6 Energy
  • 8.7 Manufacturing

9 GLOBAL DATA CENTER ACCELERATOR MARKET, BY GEOGRAPHY

  • 9.1 Overview
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 U.K.
    • 9.3.3 France
    • 9.3.4 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 Japan
    • 9.4.3 India
    • 9.4.4 Rest of Asia Pacific
  • 9.5 Rest of the World
    • 9.5.1 Latin America
    • 9.5.2 Middle East & Africa

10 GLOBAL DATA CENTER ACCELERATOR MARKET COMPETITIVE LANDSCAPE

  • 10.1 Overview
  • 10.2 Company Market Ranking
  • 10.3 Key Development Strategies

11 COMPANY PROFILES

  • 11.1 Intel Corporation
    • 11.1.1 Overview
    • 11.1.2 Financial Performance
    • 11.1.3 Product Outlook
    • 11.1.4 Key Developments
  • 11.2 NVIDIA Corporation
    • 11.2.1 Overview
    • 11.2.2 Financial Performance
    • 11.2.3 Product Outlook
    • 11.2.4 Key Developments
  • 11.3 Advanced Micro Devices Inc.
    • 11.3.1 Overview
    • 11.3.2 Financial Performance
    • 11.3.3 Product Outlook
    • 11.3.4 Key Developments
  • 11.4 Achronix Semiconductor Corporation
    • 11.4.1 Overview
    • 11.4.2 Financial Performance
    • 11.4.3 Product Outlook
    • 11.4.4 Key Developments
  • 11.5 Xilinx Inc.
    • 11.5.1 Overview
    • 11.5.2 Financial Performance
    • 11.5.3 Product Outlook
    • 11.5.4 Key Developments
  • 11.6 Oracle Corporation
    • 11.6.1 Overview
    • 11.6.2 Financial Performance
    • 11.6.3 Product Outlook
    • 11.6.4 Key Developments
  • 11.7 Hewlett Packard Enterprise Company
    • 11.7.1 Overview
    • 11.7.2 Financial Performance
    • 11.7.3 Product Outlook
    • 11.7.4 Key Developments
  • 11.8 Dell Technologies Inc.
    • 11.8.1 Overview
    • 11.8.2 Financial Performance
    • 11.8.3 Product Outlook
    • 11.8.4 Key Developments
  • 11.9 IBM Corporation
    • 11.9.1 Overview
    • 11.9.2 Financial Performance
    • 11.9.3 Product Outlook
    • 11.9.4 Key Developments

12 KEY DEVELOPMENTS

  • 12.1 Product Launches/Developments
  • 12.2 Mergers and Acquisitions
  • 12.3 Business Expansions
  • 12.4 Partnerships and Collaborations

13 Appendix

  • 13.1 Related Research