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資料中心圖形處理器 (GPU) 市場預測至 2034 年：按部署模式、功能、最終用戶和地區分類的全球分析

Data Center Graphical Processing Unit (GPU) Market Forecasts to 2034 - Global Analysis By Deployment Model (Cloud and On-premises), Function (Inference and Training), End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球資料中心圖形處理器 (GPU) 市場規模將達到 354 億美元，在預測期內將以 33.2% 的複合年成長率成長，到 2034 年將達到 3510 億美元。

資料中心圖形處理器 (GPU) 是專用的處理器，旨在加速資料中心環境中的圖形渲染和平行處理任務。其並行處理能力允許多個任務同時運行，從而提高運算效率。在資料中心，GPU 用於加速人工智慧 (AI)、機器學習 (ML)、高效能運算 (HPC)、資料分析和科學模擬等任務。

企業資料中心GPU應用範圍擴大

企業正擴大利用GPU來增強數據分析、人工智慧和機器學習等任務的運算能力。 GPU憑藉其卓越的平行處理能力，能夠加速複雜的運算，從而更快地獲得洞察並做出決策。隨著企業採用數據驅動型營運模式，對配備GPU的資料中心的需求也日益成長。此外，這些GPU不僅提升了傳統圖形處理的效能，還能幫助企業滿足日益成長的高階運算工作負載需求。因此，這正在推動市場成長。

初始成本高

引進和實施GPU技術的相關成本，包括GPU本身以及冷卻系統等配套基礎設施，對企業而言構成了巨大的財務障礙。這筆初始投資可能會阻礙部分企業，尤其是中小企業採用GPU解決方案，進而影響整體採用率。儘管GPU在運算效能方面具有長期優勢，但高昂的初始成本可能會阻礙GPU在資料中心的廣泛部署，並限制市場成長。

高效能運算的需求

憑藉其平行處理能力，GPU能夠有效管理高效能運算（HPC）特有的平行工作負載，進而顯著提升效能。隨著複雜且資料密集的模擬在各行各業變得日益重要，資料中心對GPU加速解決方案的需求也與日俱增。此外，在數據分析、科學研究和工程等領域，隨著新的需求不斷湧現，GPU對於提升運算能力和加速研究成果的產出至關重要。這有望推動市場擴張。

資料安全問題

由於GPU在資料中心處理高度敏感資料方面發揮至關重要的作用，GPU架構中的安全漏洞和缺陷可能會損害資料的完整性和機密性。資料外洩會導致組織間信任的喪失，並阻礙GPU的普及和應用。隨著網路安全威脅情勢的不斷演變，採取強力的措施來保護GPU處理的資料至關重要，而對安全漏洞的識別可能會影響市場成長。

新冠疫情的影響

數位轉型和遠距辦公的快速普及，推動了對高效能運算和GPU加速應用的需求成長。科學研究、醫療、娛樂等產業對GPU的需求日益成長，以滿足數據分析、內容創作和醫學模擬等任務的需求。疫情凸顯了穩健的資料中心基礎設施的重要性，儘管全球供應​​鏈中斷，某些產業也出現波動，但疫情刺激了對GPU技術的投資，以滿足不斷變化的處理需求。

在預測期內，預計雲端業務部分將佔據最大佔有率。

據估計，雲端運算領域佔據最大的市場佔有率。雲端服務供應商正利用GPU來提升虛擬化環境的效能，從而支援包括圖形渲染、人工智慧和高效能運算在內的各種工作負載。該領域使企業能夠存取可擴展的按需GPU加速資源，從而經濟高效地處理運算密集型任務。此外，這也反映了將複雜運算工作負載卸載到虛擬化GPU資源的趨勢日益成長，為各種應用和產業提供了柔軟性和擴充性。

預計在預測期內，政府部門的複合年成長率將最高。

預計在預測期內，政府部門將迎來顯著成長。政府機構正利用GPU進行研究、國防模擬和數據分析等應用。 GPU使這些機構能夠有效率地處理大量數據，從而支援從國家安全到公共服務等各項工作。此外，這也凸顯了GPU在增強對管治、研究和策略決策至關重要的運算能力方面所扮演的關鍵角色。政府資料中心採用GPU體現了政府致力於利用先進技術提高公共部門營運效率和效能的決心。

市佔率最大的地區：

在預測期內，亞太地區佔據了最大的市場佔有率，這主要得益於電子商務的擴張、技術基礎設施的進步以及數據驅動型舉措的興起。中國、日本和印度等國家處於領先地位，對GPU技術進行了大量投資，用於科學研究、遊戲和雲端運算服務。此外，亞太地區的雲端運算服務也取得了顯著成長，主要雲端服務供應商正在擴展其資料中心能力。該地區對工業創新和自動化的重視進一步推動了資料中心對GPU的需求。

複合年成長率最高的地區：

預計北美地區在整個預測期內將保持強勁成長。該地區是人工智慧、機器學習和高效能運算 (HPC) 應用的重要中心，因此資料中心對 GPU 的需求量很大。包括矽谷在內的美國主要科技中心為創新和研發做出了貢獻。遊戲產業的崛起正在推動 GPU 需求，而雲端運算供應商也持續投資於以 GPU 為中心的基礎設施。憑藉其對數位轉型的高度重視，北美地區在塑造全球資料中心 GPU 市場趨勢方面仍然發揮著重要作用。

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目錄

第1章：執行摘要

第2章：引言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進因素
  • 抑制因子
  • 機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章：波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的競爭

第5章 全球資料中心圖形處理器 (GPU) 市場：依部署模式分類

  • 雲
  • 現場

第6章 全球資料中心圖形處理器 (GPU) 市場：依功能分類

  • 推理
  • 訓練

第7章 全球資料中心圖形處理器 (GPU) 市場：依最終使用者分類

  • 公司
  • 雲端服務供應商
  • 政府

第8章 全球資料中心圖形處理器 (GPU) 市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太國家
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 卡達
    • 南非
    • 其他中東和非洲國家

第9章 主要發展

  • 合約、夥伴關係、合作關係、合資企業
  • 收購與併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第10章：公司簡介

  • Advanced Micro Devices, Inc
  • Google Inc.
  • Advantech Co., Ltd.
  • IBM Corporation
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • Imagination Technologies
  • NVIDIA Corporation
  • Samsung Electronics Co., Ltd.
  • Qualcomm Technologies, Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Graphcore
  • Arm Limited
  • Gigabyte Technology Co. Ltd.
  • Apple Inc.
  • Zotac
  • Micro Devices Inc.
Product Code: SMRC25037

According to Stratistics MRC, the Global Data Center Graphical Processing Unit (GPU) Market is accounted for $35.4 billion in 2026 and is expected to reach $351.0 billion by 2034 growing at a CAGR of 33.2% during the forecast period. Data Center Graphical Processing Units (GPUs) are specialized processors designed to accelerate graphics rendering and parallel processing tasks within data center environments. Their parallel processing capabilities enable simultaneous execution of multiple tasks, enhancing computational efficiency. In data centres, GPUs are used to accelerate tasks such as artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), data analytics, and scientific simulations.

Market Dynamics:

Driver:

Rising adoption of data center GPUs in enterprises

Enterprises are increasingly leveraging GPUs to enhance their computational capabilities for tasks like data analytics, artificial intelligence, and machine learning. GPUs, with their parallel processing prowess, accelerate complex computations, enabling quicker insights and decision-making. The need for GPU-equipped data centres is increasing as companies embrace data-driven operations. Furthermore, these GPUs not only improve performance in traditional graphics processing but also empower enterprises to address the growing demands of advanced computing workloads. Thus, it will propel market growth.

Restraint:

High initial costs

The acquisition and implementation expenses associated with GPU technology, including the GPUs themselves and supporting infrastructure like cooling systems, present a considerable financial barrier for organizations. This initial investment can deter some businesses, particularly smaller enterprises, from embracing GPU solutions, impacting the overall adoption rate. Despite the long-term benefits of computational performance, the substantial upfront expenditures may hinder widespread integration of GPUs in data centres, limiting the market's growth.

Opportunity:

Demand for high-performance computing

GPUs provide improved performance by effectively managing the parallel workloads that are characteristic of HPC operations due to their parallel processing capabilities. The need for GPU-accelerated solutions in data centres is rising as various sectors rely on intricate and data-intensive simulations. Moreover, GPUs are essential for increasing computational power and accelerating research outcomes in data analysis, scientific research, and engineering, where there is a growing need to meet emerging needs. Thereby, it will enhance market expansion.

Threat:

Data security concerns

As GPUs play a pivotal role in processing sensitive and confidential data in data centres, any security breach or vulnerability in GPU architectures could compromise data integrity and confidentiality. Instances of data breaches could lead to a loss of trust among organisations, deterring them from adopting or expanding GPU usage. The evolving landscape of cybersecurity threats necessitates robust measures to safeguard data processed by GPUs, and any perceived weaknesses in security may impact the market's growth.

Covid-19 Impact

High-performance computing and GPU-accelerated apps were in more demand due to the rapid uptake of digital transformation and remote work practices. GPU demands have increased for jobs like data analytics, content creation, and medical simulations in industries like research, healthcare, and entertainment. The pandemic brought attention to the crucial significance of strong data centre infrastructure and encouraged investments in GPU technology to meet changing processing demands, even though there were some supply chain disruptions worldwide and fluctuations in particular industries.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is estimated to hold the largest share. Cloud providers leverage GPUs to enhance the performance of virtualized environments, catering to diverse workloads such as graphics rendering, artificial intelligence, and high-performance computing. This segment allows businesses to access GPU-accelerated resources on a scalable and on-demand basis, facilitating cost-effective and efficient processing of computationally intensive tasks. Moreover, it reflects the growing trend of offloading complex computational workloads to virtualized GPU resources, offering flexibility and scalability for a wide range of applications and industries.

The government segment is expected to have the highest CAGR during the forecast period

The government segment is anticipated to have lucrative growth during the forecast period. Governments leverage GPUs for applications such as scientific research, defence simulations, and data analytics. GPUs enable these entities to process vast amounts of data efficiently, supporting initiatives ranging from national security to public services. Furthermore, it underscores the critical role of GPUs in enhancing computational capabilities for tasks essential to governance, research, and strategic decision-making. The adoption of GPUs in government data centres reflects a commitment to leveraging advanced technologies for improved efficiency and performance in public sector operations.

Region with largest share:

Asia Pacific commanded the largest market share during the extrapolated period owing to a rise in e-commerce, technological infrastructure advancements, and growing data-driven initiatives. Countries like China, Japan, and India are at the forefront, investing heavily in GPU technology for scientific research, gaming, and cloud services. Furthermore, the rise of cloud computing services is significant in the Asia Pacific, with major cloud providers expanding their data center capabilities. The region's focus on industrial innovation and automation further drives the demand for GPUs in data centres.

Region with highest CAGR:

North America is expected to witness profitable growth over the projection period. The region is a key player in AI, machine learning, and high-performance computing applications, leading to a high demand for GPUs in data centres. Major tech hubs in the United States, including Silicon Valley, contribute to innovation, research, and development. The gaming industry's prominence fuels the demand for GPUs, while cloud computing providers continue to invest in GPU-centric infrastructure. With a strong focus on digital transformation, North America remains a significant influencer in shaping the global landscape of the data centre GPU market.

Key players in the market

Some of the key players in the Data Center Graphical Processing Unit (GPU) Market include Advanced Micro Devices Inc, Google Inc., Advantech Co. Ltd., IBM Corporation, Huawei Technologies Co. Ltd., Intel Corporation, Imagination Technologies, NVIDIA Corporation, Samsung Electronics Co.Ltd., Qualcomm Technologies, Inc., Micron Technology, Inc., Microsoft Corporation, Graphcore, Arm Limited, Gigabyte Technology Co. Ltd., Apple Inc., Zotac and Micro Devices Inc.

Key Developments:

In October 2023, Nvidia and Foxconn joined forces to create data center modules designed for AI-driven factories, utilizing Nvidia's Grace Hopper chips. Through the collaboration, Hon Hai Technology Group (Foxconn) aims to integrate Nvidia's technology to establish innovative data centres.

In October 2023, IBM introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today's data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio

In May 2023, IBM Announces Launch of IBM Hybrid Cloud Mesh to Help Enterprises Regain Control of their Multicloud Infrastructure. Driven by "Application-Centric Connectivity", IBM Hybrid Cloud Mesh is engineered to automate the process, management and observability of application connectivity in and between public and private clouds to help modern enterprises operate their infrastructure across hybrid multicloud and heterogeneous environments.

Deployment Models Covered:

  • Cloud
  • On-premises

Functions Covered:

  • Inference
  • Training

End Users Covered:

  • Enterprises
  • Cloud Service Providers
  • Government

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Center Graphical Processing Unit (GPU) Market, By Deployment Model

  • 5.1 Introduction
  • 5.2 Cloud
  • 5.3 On-premises

6 Global Data Center Graphical Processing Unit (GPU) Market, By Function

  • 6.1 Introduction
  • 6.2 Inference
  • 6.3 Training

7 Global Data Center Graphical Processing Unit (GPU) Market, By End User

  • 7.1 Introduction
  • 7.2 Enterprises
  • 7.3 Cloud Service Providers
  • 7.4 Government

8 Global Data Center Graphical Processing Unit (GPU) Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Advanced Micro Devices, Inc
  • 10.2 Google Inc.
  • 10.3 Advantech Co., Ltd.
  • 10.4 IBM Corporation
  • 10.5 Huawei Technologies Co., Ltd.
  • 10.6 Intel Corporation
  • 10.7 Imagination Technologies
  • 10.8 NVIDIA Corporation
  • 10.9 Samsung Electronics Co., Ltd.
  • 10.10 Qualcomm Technologies, Inc.
  • 10.11 Micron Technology, Inc.
  • 10.12 Microsoft Corporation
  • 10.13 Graphcore
  • 10.14 Arm Limited
  • 10.15 Gigabyte Technology Co. Ltd.
  • 10.16 Apple Inc.
  • 10.17 Zotac
  • 10.18 Micro Devices Inc.

List of Tables

  • Table 1 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 3 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 4 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 5 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2023-2034) ($MN)
  • Table 6 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2023-2034) ($MN)
  • Table 7 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2023-2034) ($MN)
  • Table 8 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2023-2034) ($MN)
  • Table 9 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2023-2034) ($MN)
  • Table 10 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 11 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 12 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2023-2034) ($MN)
  • Table 13 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2023-2034) ($MN)
  • Table 14 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 15 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 16 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 17 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2023-2034) ($MN)
  • Table 18 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2023-2034) ($MN)
  • Table 19 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2023-2034) ($MN)
  • Table 20 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2023-2034) ($MN)
  • Table 21 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2023-2034) ($MN)
  • Table 22 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 23 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 24 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2023-2034) ($MN)
  • Table 25 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2023-2034) ($MN)
  • Table 26 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 27 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 28 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 29 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2023-2034) ($MN)
  • Table 30 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2023-2034) ($MN)
  • Table 31 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2023-2034) ($MN)
  • Table 32 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2023-2034) ($MN)
  • Table 33 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2023-2034) ($MN)
  • Table 34 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 35 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 36 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2023-2034) ($MN)
  • Table 37 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2023-2034) ($MN)
  • Table 38 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 39 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 40 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 41 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2023-2034) ($MN)
  • Table 42 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2023-2034) ($MN)
  • Table 43 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2023-2034) ($MN)
  • Table 44 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2023-2034) ($MN)
  • Table 45 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2023-2034) ($MN)
  • Table 46 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 47 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 48 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2023-2034) ($MN)
  • Table 49 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2023-2034) ($MN)
  • Table 50 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 51 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 52 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 53 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2023-2034) ($MN)
  • Table 54 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2023-2034) ($MN)
  • Table 55 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2023-2034) ($MN)
  • Table 56 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2023-2034) ($MN)
  • Table 57 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2023-2034) ($MN)
  • Table 58 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 59 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 60 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2023-2034) ($MN)
  • Table 61 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2023-2034) ($MN)
  • Table 62 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 63 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 64 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 65 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2023-2034) ($MN)
  • Table 66 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2023-2034) ($MN)
  • Table 67 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2023-2034) ($MN)
  • Table 68 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2023-2034) ($MN)
  • Table 69 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2023-2034) ($MN)
  • Table 70 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 71 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 72 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2023-2034) ($MN)