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市场调查报告书
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1732180

全球资料中心加速器市场按处理器类型、类型、应用、最终用户和地区划分（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个工作天内

价格
简介目录

资料中心加速器市场评估（2026-2032）

随着人工智慧、机器学习和巨量资料分析等资料密集型应用的兴起，资料中心加速器的需求量也日益增长。这些应用需要大量资料处理能力，而常规CPU无法有效率处理。预计到2024年，其市场规模将超过160.1亿美元，到2032年将达到约2,745.7亿美元。

配备专用硬体和平行处理能力的资料中心加速器可以显着加快这些活动的速度，从而更快地获得洞察并得出更准确的结果。云端处理的广泛采用和边缘运算的兴起也推动了对资料中心加速器的需求。资料中心加速器提供即时应用所需的运算能力，同时降低延迟。对经济高效的资料中心加速器日益增长的需求，推动市场在2026年至2032年期间的复合年增长率达到47.06%。

资料中心加速器市场定义/概述

资料中心加速器是专用硬体元件，可提高资料中心资料处理和运算流程的效能。这些加速器包括图形处理单元 (GPU)、现场可程式闸阵列 (FPGA) 和专用积体电路 (ASIC)，旨在比通用 CPU 更有效率地执行某些运算。这些加速器常用于加速机器学习、巨量资料分析和高效能运算等操作，并透过将这些繁重的操作从 CPU 卸载，从而提高整体系统的效率和效能。资料中心加速器的整合可以实现更快的资料处理速度、更低的延迟以及更强的复杂工作负载处理能力，所有这些对于需要快速、可扩展运算资源的现代化应用程式来说都至关重要。

随着高效能运算需求的成长，资料中心加速器的前景一片光明。加速器技术的进步预计将推动云端处理、边缘运算和人工智慧领域的创新。加速器将在满足即时分析、自主系统和高级模拟等数据密集型应用日益增长的需求方面发挥关键作用。

持续的研发活动可望推动更专业、更有效率的加速器的发展，从而进一步优化资料中心的运作。此外，5G的广泛普及和物联网（IoT）的扩展预计将推动对能够高速处理大量资料的加速器的需求。

是什么推动了资料中心加速器需求的激增？

资料中心加速器市场受云端处理服务日益普及的驱动。全球终端用户在公共云端服务上的支出预计将成长20.7%，从2022年的4,903亿美元增加到2024年的5,918亿美元，这将增加对强大云端基础设施的需求。这种扩张需要部署强大的资料中心加速器，以满足云端基础应用的效能和效率需求，从而推动此类专用硬体组件市场的发展。

数据生成和处理的快速成长推动着数据中心加速器市场的发展。 IDC 预测，到 2025 年，全球资料量将从 2018 年的 33 Zetta位元组成长到 175 Zetta位元组，对高效资料处理解决方案的需求也日益迫切。资料爆炸性成长需要更高的资料处理能力，而资料中心加速器对于处理和最佳化大量产生资讯至关重要，从而增加了对这些专用硬体元件的市场需求。

哪些因素限制了资料中心加速器市场的成长？

高成本正在影响资料中心加速器市场的成长。购置和营运先进加速器所需的高昂成本可能会阻碍一些组织，尤其是资金有限的中小企业采用此类技术。这些高成本限制了最尖端科技的获取，并影响了推动成长所需的公众认可度，从而阻碍了市场扩张。

监管方面的担忧正在阻碍资料中心加速器市场的成长。严格的资料安全、隐私和环境标准法规可能会增加合规成本和资料中心营运的复杂性。这些法规阻碍了新技术的采用，增加了营运成本，最终限制了市场的成长。企业将不得不为更安全、更环保的解决方案付费，这可能会阻碍他们使用最新的加速器，从而限制整体市场的扩张。

目录

第一章 全球资料中心加速器市场简介

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 资料中心加速器的全球市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章。按处理器类型分類的世界资料中心加速器市场

  • 概述
  • CPU
  • GPU
  • FPGA
  • ASIC

第六章全球资料中心加速器市场（按应用）

  • 概述
  • 深度学习训练
  • 公共云端介面
  • 企业介面

7. 全球资料中心加速器市场（按类型）

  • 概述
  • 云端资料中心
  • 高效能运算资料中心

第八章全球资料中心加速器市场（按最终用户）

  • 概述
  • 资讯科技/通讯
  • 卫生保健
  • 银行、金融服务和保险（BFSI）
  • 政府
  • 活力
  • 製造业

9. 全球资料中心加速器市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第十章全球资料中心加速器市场的竞争格局

  • 概述
  • 各公司市场排名
  • 主要发展策略

第十一章 公司简介

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

第十二章 重大进展

  • 产品发布/开发
  • 合併与收购
  • 业务扩展
  • 伙伴关係与合作

第十三章 附录

  • 相关调查
简介目录
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