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市场调查报告书

商品编码

1577089

AI伺服器市场、机会、成长动力、产业趋势分析与预测，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个工作天内

价格

简介目录

全球人工智慧伺服器市场在 2023 年价值 383 亿美元，预计 2024 年至 2032 年复合年增长率将超过 18%。这种增长是由人工智慧在各行业的广泛采用推动的，因为组织寻求优化运营，增强顾客体验，开发创新产品。对人工智慧应用日益增长的需求催生了对强大伺服器基础设施的需求，从而培养了竞争和创新的市场格局。

企业、政府和学术机构对人工智慧研究的投资正在进一步推动市场向前发展。这些投资正在推动演算法、模型和应用程式的进步，从而增加了对复杂人工智慧伺服器基础设施的需求。

市场分为各种伺服器类型，包括人工智慧资料伺服器、人工智慧训练伺服器和人工智慧推理伺服器。人工智慧训练伺服器在 2023 年占据超过 36% 的市场份额，预计到 2032 年将达到 550 亿美元。。

在硬体方面，GPU将在2023年以51%的份额占据市场主导地位。 GPU 处理大型资料集和提供高速效能的能力使其成为进阶人工智慧开发和部署的首选。 AI 伺服器产业也见证了 PCB 设计和製造方面的进步，以支援 AI 工作负载所需的复杂 GPU 布局和高速讯号的整合。

从地理上看，北美在 2023 年以 32% 的份额领先市场。人工智慧伺服器製造商、软体开发人员和解决方案供应商之间的合作为客户提供了整合的人工智慧解决方案。人们对与人工智慧资料处理相关的安全和隐私问题的认识不断增强，也促进了区域市场的成长。

在欧洲，由于人工智慧技术在各个行业的采用，市场正在不断扩大，特别是在汽车、製造和医疗保健领域。对增强自动化、优化生产流程和提高效率的关注正在推动该地区对人工智慧解决方案的需求。

随着人工智慧伺服器市场的不断发展，它为各个行业和地区的创新和成长提供了巨大的机会。人工智慧技术的不断进步以及研发投资的不断增加预计将在未来几年推动市场向前发展。

产业生态系统分析
供应商格局
- 硬体提供者
- 技术提供者
- 服务提供者
- 系统整合商
- 最终用户
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
- 伙伴关係/协作
- 併购
- 投资
- 产品发布和创新
监管环境
衝击力
- 成长动力
  - 人工智慧应用需求不断增加
  - 人工智慧专用硬体的不断进步
  - 人工智慧研究投资不断增加
  - 基于云端的人工智慧服务的日益采用
- 产业陷阱与挑战
  - 高性能硬体的成本
  - 能源消耗和效率
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按伺服器划分，2018-2032 年

主要趋势
人工智慧资料伺服器
人工智慧训练伺服器
人工智慧推理伺服器
其他的

第 6 章：市场估计与预测：按硬体划分，2018-2032 年

主要趋势
图形处理器
专用积体电路
FPGA
中央处理器
其他的

第 7 章：市场估计与预测：按最终用户划分，2018-2032 年

主要趋势
资讯科技和电信
交通运输和汽车
BFSI
零售与电子商务
医疗保健和製药
工业自动化
其他的

第 8 章：市场估计与预测：按地区，2018-2032 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳洲
- 新加坡
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 南非
- 沙乌地阿拉伯
- 阿联酋
- MEA 的其余部分

第 9 章：公司简介

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

简介目录

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