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2030 年人工智慧 (AI) 伺服器市場預測：按伺服器類型、組件、部署模式、應用、最終用戶和地區進行的全球分析

Artificial Intelligence Server Market Forecasts to 2030 - Global Analysis By Server Type, Component, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧（AI）伺服器市場規模預計在 2024 年達到 345.8 億美元，到 2030 年將達到 4352.6 億美元，預測期內的複合年成長率為 36.2%。

人工智慧 (AI) 伺服器是專門的運算系統，旨在支援和加速 AI 工作負載，包括機器學習、深度學習和資料分析。它們通常具有高效能處理器、大記憶體容量和強大的圖形處理單元 (GPU) 來處理複雜的演算法和大型資料集。這些伺服器可實現快速模型訓練、推理處理並支援即時人工智慧主導的決策，在各行各業中發揮關鍵作用。

根據Science Direct的研究論文，到2023年，AI伺服器將佔整個伺服器市場的約23%。

日益轉向雲端基礎的人工智慧服務

向雲端基礎的AI 服務的轉變是由對擴充性、靈活且經濟高效的 AI 解決方案日益成長的需求所推動的。雲端平台讓企業無需內部基礎設施即可存取強大的 AI 模式和運算資源，從而減少資本支出。透過提供更快的部署、更高的可用性和增強的協作，這項轉變將加速各領域的人工智慧應用。雲端環境正在促進AI技術的快速進步，為AI伺服器市場的擴張創造出充滿活力的生態系統。

資料隱私和安全問題

人工智慧伺服器的資料隱私和安全問題源於人工智慧系統處理的大量敏感資料，包括個人、財務和健康資訊。資料外洩、未授權存取以及人工智慧主導的洞察力的濫用可能性對個人和組織構成風險。這些擔憂可能導致企業和政府面臨監管限制、合規成本以及消費者的不信任，阻礙AI伺服器市場的成長。

5G網路部署

5G 將實現對自動駕駛汽車、智慧城市和物聯網設備等人工智慧系統產生的大型資料集的即時處理。這種加速的連接使 AI 伺服器能夠提供更快的決策、更深入的洞察力和更有效率的營運。 5G 將推動對邊緣運算和高效能 AI 伺服器的需求，因為企業需要強大的基礎設施來支援低延遲 AI 任務，從而推動市場成長並在醫療保健、汽車和製造業等行業中實現新的應用。

初期投資及維護成本高

人工智慧伺服器的初始投資和維護成本很高，因為它們需要先進的硬體組件，例如強大的處理器、GPU 和大型儲存系統，而這些組件的開發和實施成本很高。此外，維護這些伺服器需要熟練的人力、頻繁的軟體更新和基礎設施升級，從而增加持續的成本。這些因素可能會阻礙AI伺服器市場的成長。

COVID-19 的影響

隨著企業尋求加強數位轉型、實現流程自動化和最佳化營運，COVID-19 疫情加速了對人工智慧 (AI) 伺服器的需求。對遠距工作、電子商務和醫療保健應用的依賴增加導致資料處理需求激增，從而推動了人工智慧伺服器的採用。然而，疫情期間出現供應鏈中斷、晶片短缺等現象，導致生產供應暫時受阻，市場成長放緩。儘管存在這些挑戰，但人工智慧主導解決方案的整體趨勢仍然是積極的。

預計預測分析部分將成為預測期內最大的部分。

預計預測分析部分將在整個預測期內佔據最大的市場佔有率。人工智慧伺服器透過處理大量資料資料預測未來趨勢和行為，在預測分析中發揮關鍵作用。透過更快的資料分析和更高的決策準確性，AI伺服器為預測模型提供支持，使企業能夠最佳化業務、降低風險並在競爭激烈的市場中推動成長。

預測期內，通訊產業預計將實現最高複合年成長率

預計預測期內通訊產業將以最高的複合年成長率成長。在通訊領域，人工智慧伺服器用於最佳化網路管理、改善客戶服務和增強預測性維護。這些伺服器處理來自網路營運的大量資料，實現即時監控、異常檢測和自動決策。人工智慧伺服器支援聊天機器人和虛擬助手，透過自動執行日常任務和故障排除來提高客戶參與並降低電信業者營運成本。

比最大的地區

由於人工智慧技術的進步以及醫療保健、汽車和金融等領域的廣泛應用，預計亞太地區將在預測期內佔據最大的市場佔有率。由於製造業、研究和政府措施等行業對人工智慧伺服器的需求很高，中國、日本、韓國和印度等國家對市場做出了重大貢獻。該市場受到該地區不斷擴大的數位基礎設施和對人工智慧研究的強勁投資的推動。

複合年成長率最高的地區：

由於強大的技術進步和對人工智慧研究的大量投資，預計北美將在預測期內實現最高的複合年成長率。美國是該市場的主要推動力，其科技巨頭和雲端服務供應商在人工智慧創新和部署方面處於領先地位。該地區強大的數位基礎設施、對人工智慧解決方案的關注以及政府對人工智慧計劃的支援正在促進市場成長。

提供免費客製化：

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業進行基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章 全球人工智慧（AI）伺服器市場（按伺服器類型）

  • 機架式伺服器
  • 刀鋒伺服器
  • 直立式伺服器
  • 超融合伺服器
  • 其他伺服器類型

6. 全球人工智慧 (AI) 伺服器市場（按組件分類）

  • 硬體
    • 處理器
    • 記憶
    • 網路裝置
    • 電源裝置
  • 軟體
    • 人工智慧框架
    • 作業系統
    • 人工智慧開發工具

第7章 全球人工智慧（AI）伺服器市場按部署模式

  • 本地
  • 雲端基礎

第 8 章 全球人工智慧 (AI) 伺服器市場（按應用）

  • 自然語言處理 (NLP)
  • 機器學習
  • 影像識別
  • 語音辨識
  • 預測分析
  • 機器人
  • 其他用途

第9章 全球人工智慧 (AI) 伺服器市場（按最終用戶）

  • 衛生保健
  • 車
  • 製造業
  • 通訊
  • 金融
  • 其他最終用戶

第 10 章 全球人工智慧 (AI) 伺服器市場（按區域）

  • 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
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • NVIDIA Corporation
  • Intel Corporation
  • IBM Corporation
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services（AWS）
  • Netweb Technologies India Limited
  • Dell Technologies Inc.
  • Cisco Systems Inc.
  • Oracle Corporation
  • Lenovo Group Limited
  • Huawei Technologies Corporation
  • Alibaba Group
  • Baidu Inc.
  • Qualcomm Incorporated
  • Supermicro Computer, Inc.
  • Micron Technology Inc.
  • Fujitsu Limited
  • HP Enterprise（HPE）
  • Inspur Group
Product Code: SMRC28355

According to Stratistics MRC, the Global Artificial Intelligence (AI) Server Market is accounted for $34.58 billion in 2024 and is expected to reach $435.26 billion by 2030 growing at a CAGR of 36.2% during the forecast period. An Artificial Intelligence (AI) server is a specialized computing system designed to support and accelerates AI workloads, such as machine learning, deep learning, and data analysis. It typically features high-performance processors, large memory, and powerful graphics processing units (GPUs) to handle complex algorithms and large datasets. These servers enable rapid model training, inference processing, and support for real-time AI-driven decision-making, making them crucial in various industries.

According to the research paper of Science Direct, AI servers comprised approximately 23% of the total server market in 2023.

Market Dynamics:

Driver:

Rising shift towards cloud-based AI services

The rising shift towards cloud-based AI services is driven by the increasing demand for scalable, flexible, and cost-efficient AI solutions. Cloud platforms enable businesses to access powerful AI models and computing resources without the need for on-premises infrastructure, reducing capital expenditures. This shift accelerates AI adoption across various sectors by offering faster deployment, high availability, and enhanced collaboration. The cloud environment fosters rapid advancements in AI technology, creating a thriving ecosystem for AI server market expansion.

Restraint:

Data privacy and security concerns

Data privacy and security concerns in AI servers arise from the vast amounts of sensitive data processed by AI systems, such as personal, financial, and health information. The potential for data breaches, unauthorized access, or misuse of AI-driven insights poses risks to individuals and organizations. These concerns hinder the growth of the AI server market as businesses and governments may face regulatory restrictions, compliance costs, and consumer mistrust.

Opportunity:

Rollout of 5G networks

5G enables real-time processing of large datasets generated by AI-powered systems, such as autonomous vehicles, smart cities, and IoT devices. This accelerated connectivity empowers AI servers to deliver faster decision-making, deeper insights, and more efficient operations. With 5G, the demand for edge computing and high-performance AI servers grows, as businesses require powerful infrastructure to support low-latency AI tasks, boosting market growth and enabling new applications in industries like healthcare, automotive, and manufacturing.

Threat:

High initial investment & maintenance costs

The high initial investment and maintenance costs of AI servers are driven by the need for advanced hardware components like powerful processors, GPUs, and large storage systems, which are expensive to develop and implement. Additionally, maintaining these servers requires skilled personnel, frequent software updates, and infrastructure upgrades, contributing to ongoing costs. These factors can hamper the growth of the AI server market, as the high costs limit accessibility and adoption.

Covid-19 Impact

The covid-19 pandemic accelerated the demand for artificial intelligence (AI) servers as businesses sought to enhance digital transformation, automate processes, and optimize operations. The increased reliance on remote work, e-commerce, and healthcare applications led to a surge in data processing needs, driving the adoption of AI servers. However, supply chain disruptions and chip shortages during the pandemic temporarily hindered production and delivery, slowing market growth. Despite these challenges, the overall trend towards AI-driven solutions remained positive.

The predictive analytics segment is expected to be the largest during the forecast period

The predictive analytics segment is predicted to secure the largest market share throughout the forecast period. AI servers play a crucial role in predictive analytics by processing vast amounts of historical and real-time data to forecast future trends and behaviours. By providing faster data analysis and improving decision-making accuracy, AI servers enhance predictive models, enabling businesses to optimize operations, reduce risks, and drive growth in a competitive market.

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

The telecommunications segment is anticipated to witness the highest CAGR during the forecast period. In telecommunications, AI servers are used to optimize network management, improve customer service, and enhance predictive maintenance. These servers process large volumes of data from network operations, enabling real-time monitoring, anomaly detection, and automated decision-making. AI servers support chatbots and virtual assistants, improving customer engagement and reducing operational costs for telecom companies by automating routine tasks and troubleshooting.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period driven by advancements in AI technologies and increasing adoption across sectors like healthcare, automotive, and finance. Countries such as China, Japan, South Korea, and India are major contributors to the market, with high demand for AI servers in industries like manufacturing, research, and government initiatives. The region's expanding digital infrastructure, coupled with strong investments in AI research, is propelling the market.

Region with highest CAGR:

North America is expected to witness the highest CAGR over the forecast period fuelled by strong technological advancements and significant investments in AI research. The United States, particularly, is a major market driver, with its tech giants and cloud service providers leading AI innovations and deployment. The region's robust digital infrastructure, emphasis on AI-powered solutions, and government support for AI initiatives contribute to market growth.

Key players in the market

Some of the key players profiled in the Artificial Intelligence (AI) Server Market include NVIDIA Corporation, Intel Corporation, IBM Corporation, Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Netweb Technologies India Limited, Dell Technologies Inc., Cisco Systems Inc., Oracle Corporation, Lenovo Group Limited, Huawei Technologies Corporation, Alibaba Group, Baidu Inc., Qualcomm Incorporated, Supermicro Computer, Inc., Micron Technology Inc., Fujitsu Limited, HP Enterprise (HPE) and Inspur Group.

Key Developments:

In October 2024, Netweb Technologies has expanded its range of AI servers by launching the Tyrone series, which integrates NVIDIA's MGX platform. This series is the first in India to incorporate NVIDIA MGX-based Grace and GH200 Grace Hopper Superchips, marking a significant advancement in the country's AI infrastructure.

In September 2024, Lenovo has announced plans to manufacture AI servers in India and has opened a new AI-centric lab in the country. This strategic move is aimed at expanding its presence in the growing AI market in India, as well as catering to the increasing demand for AI-based solutions in various sectors such as healthcare, finance, education, and government.

Server Types Covered:

  • Rack Servers
  • Blade Servers
  • Tower Servers
  • Hyper-Converged Servers
  • Other Server Types

Components Covered:

  • Hardware
  • Software

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Applications Covered:

  • Natural Language Processing (NLP)
  • Machine Learning
  • Image Recognition
  • Speech Recognition
  • Predictive Analytics
  • Robotics
  • Other Applications

End Users Covered:

  • Healthcare
  • Automotive
  • Manufacturing
  • Telecommunications
  • Finance
  • Other End Users

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 2022, 2023, 2024, 2026, and 2030
  • 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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Artificial Intelligence (AI) Server Market, By Server Type

  • 5.1 Introduction
  • 5.2 Rack Servers
  • 5.3 Blade Servers
  • 5.4 Tower Servers
  • 5.5 Hyper-Converged Servers
  • 5.6 Other Server Types

6 Global Artificial Intelligence (AI) Server Market, By Component

  • 6.1 Introduction
  • 6.2 Hardware
    • 6.2.1 Processors
    • 6.2.2 Memory
    • 6.2.3 Networking Equipment
    • 6.2.4 Power Supply Units
  • 6.3 Software
    • 6.3.1 AI Frameworks
    • 6.3.2 Operating Systems
    • 6.3.3 AI Development Tools

7 Global Artificial Intelligence (AI) Server Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global Artificial Intelligence (AI) Server Market, By Application

  • 8.1 Introduction
  • 8.2 Natural Language Processing (NLP)
  • 8.3 Machine Learning
  • 8.4 Image Recognition
  • 8.5 Speech Recognition
  • 8.6 Predictive Analytics
  • 8.7 Robotics
  • 8.8 Other Applications

9 Global Artificial Intelligence (AI) Server Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare
  • 9.3 Automotive
  • 9.4 Manufacturing
  • 9.5 Telecommunications
  • 9.6 Finance
  • 9.7 Other End Users

10 Global Artificial Intelligence (AI) Server Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 NVIDIA Corporation
  • 12.2 Intel Corporation
  • 12.3 IBM Corporation
  • 12.4 Google LLC
  • 12.5 Microsoft Corporation
  • 12.6 Amazon Web Services (AWS)
  • 12.7 Netweb Technologies India Limited
  • 12.8 Dell Technologies Inc.
  • 12.9 Cisco Systems Inc.
  • 12.10 Oracle Corporation
  • 12.11 Lenovo Group Limited
  • 12.12 Huawei Technologies Corporation
  • 12.13 Alibaba Group
  • 12.14 Baidu Inc.
  • 12.15 Qualcomm Incorporated
  • 12.16 Supermicro Computer, Inc.
  • 12.17 Micron Technology Inc.
  • 12.18 Fujitsu Limited
  • 12.19 HP Enterprise (HPE)
  • 12.20 Inspur Group

List of Tables

  • Table 1 Global Artificial Intelligence (AI) Server Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Artificial Intelligence (AI) Server Market Outlook, By Server Type (2022-2030) ($MN)
  • Table 3 Global Artificial Intelligence (AI) Server Market Outlook, By Rack Servers (2022-2030) ($MN)
  • Table 4 Global Artificial Intelligence (AI) Server Market Outlook, By Blade Servers (2022-2030) ($MN)
  • Table 5 Global Artificial Intelligence (AI) Server Market Outlook, By Tower Servers (2022-2030) ($MN)
  • Table 6 Global Artificial Intelligence (AI) Server Market Outlook, By Hyper-Converged Servers (2022-2030) ($MN)
  • Table 7 Global Artificial Intelligence (AI) Server Market Outlook, By Other Server Types (2022-2030) ($MN)
  • Table 8 Global Artificial Intelligence (AI) Server Market Outlook, By Component (2022-2030) ($MN)
  • Table 9 Global Artificial Intelligence (AI) Server Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 10 Global Artificial Intelligence (AI) Server Market Outlook, By Processors (2022-2030) ($MN)
  • Table 11 Global Artificial Intelligence (AI) Server Market Outlook, By Memory (2022-2030) ($MN)
  • Table 12 Global Artificial Intelligence (AI) Server Market Outlook, By Networking Equipment (2022-2030) ($MN)
  • Table 13 Global Artificial Intelligence (AI) Server Market Outlook, By Power Supply Units (2022-2030) ($MN)
  • Table 14 Global Artificial Intelligence (AI) Server Market Outlook, By Software (2022-2030) ($MN)
  • Table 15 Global Artificial Intelligence (AI) Server Market Outlook, By AI Frameworks (2022-2030) ($MN)
  • Table 16 Global Artificial Intelligence (AI) Server Market Outlook, By Operating Systems (2022-2030) ($MN)
  • Table 17 Global Artificial Intelligence (AI) Server Market Outlook, By AI Development Tools (2022-2030) ($MN)
  • Table 18 Global Artificial Intelligence (AI) Server Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 19 Global Artificial Intelligence (AI) Server Market Outlook, By On-Premise (2022-2030) ($MN)
  • Table 20 Global Artificial Intelligence (AI) Server Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 21 Global Artificial Intelligence (AI) Server Market Outlook, By Application (2022-2030) ($MN)
  • Table 22 Global Artificial Intelligence (AI) Server Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 23 Global Artificial Intelligence (AI) Server Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 24 Global Artificial Intelligence (AI) Server Market Outlook, By Image Recognition (2022-2030) ($MN)
  • Table 25 Global Artificial Intelligence (AI) Server Market Outlook, By Speech Recognition (2022-2030) ($MN)
  • Table 26 Global Artificial Intelligence (AI) Server Market Outlook, By Predictive Analytics (2022-2030) ($MN)
  • Table 27 Global Artificial Intelligence (AI) Server Market Outlook, By Robotics (2022-2030) ($MN)
  • Table 28 Global Artificial Intelligence (AI) Server Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 29 Global Artificial Intelligence (AI) Server Market Outlook, By End User (2022-2030) ($MN)
  • Table 30 Global Artificial Intelligence (AI) Server Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 31 Global Artificial Intelligence (AI) Server Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 32 Global Artificial Intelligence (AI) Server Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 33 Global Artificial Intelligence (AI) Server Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 34 Global Artificial Intelligence (AI) Server Market Outlook, By Finance (2022-2030) ($MN)
  • Table 35 Global Artificial Intelligence (AI) Server Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.