首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1577089

AI伺服器市場、機會、成長動力、產業趨勢分析與預測，2024-2032

AI Server Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年08月09日 | 出版商:

Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

全球人工智慧伺服器市場在 2023 年價值 383 億美元，預計 2024 年至 2032 年複合年成長率將超過 18%。這種成長是由人工智慧在各行業的廣泛採用推動的，因為組織尋求最佳化營運，增強顧客體驗，開發創新產品。對人工智慧應用日益成長的需求催生了對強大伺服器基礎設施的需求，從而培養了競爭和創新的市場格局。

企業、政府和學術機構對人工智慧研究的投資正在進一步推動市場向前發展。這些投資正在推動演算法、模型和應用程式的進步，從而增加了對複雜人工智慧伺服器基礎設施的需求。

市場分為各種伺服器類型，包括人工智慧資料伺服器、人工智慧訓練伺服器和人工智慧推理伺服器。人工智慧訓練伺服器在 2023 年佔據超過 36% 的市場佔有率，預計到 2032 年將達到 550 億美元。。

在硬體方面，GPU將在2023年以51%的佔有率佔據市場主導地位。 GPU 處理大型資料集和提供高速效能的能力使其成為進階人工智慧開發和部署的首選。 AI 伺服器產業也見證了 PCB 設計和製造方面的進步，以支援 AI 工作負載所需的複雜 GPU 佈局和高速訊號的整合。

從地理上看，北美在 2023 年以 32% 的佔有率領先市場。人工智慧伺服器製造商、軟體開發人員和解決方案供應商之間的合作為客戶提供了整合的人工智慧解決方案。人們對與人工智慧資料處理相關的安全和隱私問題的認知不斷增強，也促進了區域市場的成長。

在歐洲，由於人工智慧技術在各個行業的採用，市場正在不斷擴大，特別是在汽車、製造和醫療保健領域。對增強自動化、最佳化生產流程和提高效率的關注正在推動該地區對人工智慧解決方案的需求。

隨著人工智慧伺服器市場的不斷發展，它為各個行業和地區的創新和成長提供了巨大的機會。人工智慧技術的不斷進步以及研發投資的不斷增加預計將在未來幾年推動市場向前發展。

產業生態系統分析
供應商格局
- 硬體提供者
- 技術提供者
- 服務提供者
- 系統整合商
- 最終用戶
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
- 夥伴關係/協作
- 併購
- 投資
- 產品發布和創新
監管環境
衝擊力
- 成長動力
  - 人工智慧應用需求不斷增加
  - 人工智慧專用硬體的不斷進步
  - 人工智慧研究投資不斷增加
  - 基於雲端的人工智慧服務的日益採用
- 產業陷阱與挑戰
  - 高性能硬體的成本
  - 能源消耗和效率
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按伺服器分類，2018-2032 年

主要趨勢
人工智慧資料伺服器
人工智慧訓練伺服器
人工智慧推理伺服器
其他

第 6 章：市場估計與預測：按硬體分類，2018-2032 年

主要趨勢
圖形處理器
專用積體電路
FPGA
中央處理器
其他

第 7 章：市場估計與預測：按最終用戶分類，2018-2032 年

主要趨勢
資訊科技和電信
交通運輸和汽車
BFSI
零售與電子商務
醫療保健和製藥
工業自動化
其他

第 8 章：市場估計與預測：按地區，2018-2032 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳洲
- 新加坡
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- MEA 的其餘部分

第 9 章：公司簡介

ADLINK Technology Inc.
AIME
Advanced Micro Devices, Inc.
Dataknox Solutions, Inc.
Dell Technologies Inc.
Dihuni
Foxconn
Fujitsu Limited
GIGA-BYTE Technology Co., Ltd.
Global Unichip Corporation
Hewlett Packard Enterprise Company
Huawei Technologies Co., Ltd.
IBM Corporation
Inspur
Intel Corporation
Inventec Corporation
Lambda Labs
Lenovo Group Limited
MiTAC International Corporation
Nvidia Corporation
PhoenixNAP
PSSC Lab
Quanta Computer Inc.
Super Micro Computer, Inc.
Wistron Corporation
Wiwynn Corporation
ZTE Corporation

簡介目錄

Product Code: 8081

The Global AI Server Market, valued at USD 38.3 billion in 2023, is projected to grow at a CAGR of over 18% from 2024 to 2032. This growth is driven by the widespread adoption of AI across industries, as organizations seek to optimize operations, enhance customer experiences, and develop innovative products. The increasing demand for AI applications has created a need for robust server infrastructure, fostering a competitive and innovative market landscape.

Investments in AI research from businesses, governments, and academic institutions are further propelling the market forward. These investments are driving advancements in algorithms, models, and applications, consequently increasing the demand for sophisticated AI server infrastructure.

The market is segmented into various server types, including AI data servers, AI training servers, and AI inference servers. AI training servers, which accounted for over 36% of the market share in 2023, are expected to reach USD 55 billion by 2032. These servers are crucial for handling the intensive computational requirements of training complex machine learning models, enabling organizations to accelerate model development and innovation.

In terms of hardware, GPUs dominate the market with a 51% share in 2023. Their popularity stems from their powerful processing capabilities, particularly suited for deep learning and neural network training. The ability of GPUs to handle large datasets and deliver high-speed performance makes them the preferred choice for advanced AI development and deployment. The AI server industry is also witnessing advancements in PCB design and manufacturing to support the integration of complicated GPU layouts and high-speed signaling required for AI workloads.

Geographically, North America leads the market with a 32% share in 2023. The region's growth is driven by the increasing use of AI in technology, finance, and healthcare sectors. Collaborations between AI server manufacturers, software developers, and solution providers result in integrated AI solutions for customers. The growing awareness of security and privacy issues related to AI data processing is also contributing to the regional market growth.

In Europe, the market is expanding due to the adoption of AI technologies across various industries, particularly in the automotive, manufacturing, and healthcare sectors. The focus on enhancing automation, optimizing production processes, and driving efficiency is fueling the demand for AI-enabled solutions in the region.

As the AI server market continues to evolve, it presents significant opportunities for innovation and growth across various industries and regions. The ongoing advancements in AI technology and increasing investments in research and development are expected to drive the market forward in the coming years.

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Market 360° synopsis, 2018 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Hardware providers
- 3.2.2 Technology providers
- 3.2.3 Service providers
- 3.2.4 System integrators
- 3.2.5 End users
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
- 3.6.1 Partnership/Collaboration
- 3.6.2 Merger/Acquisition
- 3.6.3 Investment
- 3.6.4 Product launch and innovation
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing demand for AI applications
  - 3.8.1.2 Continuous advancements in AI-specific hardware
  - 3.8.1.3 Growing investments in AI research
  - 3.8.1.4 The increasing adoption of cloud-based AI services
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Cost of high-performance hardware
  - 3.8.2.2 Energy consumption and efficiency
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Servers, 2018-2032 ($Bn, Units)

5.1 Key trends
5.2 AI data server
5.3 AI training server
5.4 AI inference server
5.5 Others

Chapter 6 Market Estimates and Forecast, By Hardware, 2018-2032 ($Bn, Units)

6.1 Key trends
6.2 GPU
6.3 ASIC
6.4 FPGA
6.5 CPU
6.6 Others

Chapter 7 Market Estimates and Forecast, By End User, 2018-2032 ($Bn, Units)

7.1 Key trends
7.2 IT and telecommunication
7.3 Transportation and automotive
7.4 BFSI
7.5 Retail and ecommerce
7.6 Healthcare and pharmaceutical
7.7 Industrial automation
7.8 Others

Chapter 8 Market Estimates and Forecast, By Region, 2018-2032 ($Bn, Units)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Russia
- 8.3.7 Nordics
- 8.3.8 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 Australia
- 8.4.6 Singapore
- 8.4.7 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
8.6 MEA
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Rest of MEA