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

Description

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.

Product Code: 8081

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

Chapter 9 Company Profiles

9.1 ADLINK Technology Inc.
9.2 AIME
9.3 Advanced Micro Devices, Inc.
9.4 Dataknox Solutions, Inc.
9.5 Dell Technologies Inc.
9.6 Dihuni
9.7 Foxconn
9.8 Fujitsu Limited
9.9 GIGA-BYTE Technology Co., Ltd.
9.10 Global Unichip Corporation
9.11 Hewlett Packard Enterprise Company
9.12 Huawei Technologies Co., Ltd.
9.13 IBM Corporation
9.14 Inspur
9.15 Intel Corporation
9.16 Inventec Corporation
9.17 Lambda Labs
9.18 Lenovo Group Limited
9.19 MiTAC International Corporation
9.20 Nvidia Corporation
9.21 PhoenixNAP
9.22 PSSC Lab
9.23 Quanta Computer Inc.
9.24 Super Micro Computer, Inc.
9.25 Wistron Corporation
9.26 Wiwynn Corporation
9.27 ZTE Corporation