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Global AI Inference Server Supply, Demand and Key Producers, 2026-2032

Publisher GlobalInfoResearch
Published Jan 16, 2026
Length 150 Pages
SKU # GFSH20744336

Description

The global AI Inference Server market size is expected to reach $ 57500 million by 2032, rising at a market growth of 16.1% CAGR during the forecast period (2026-2032).

AI inference servers can provide users with powerful real-time inference capabilities and are widely used in central AI inference scenarios to help users cope with heavy computing pressure. It has the characteristics of super strong computing performance, high environmental adaptability, low energy consumption, easy deployment and maintenance, and support for cloud edge collaboration, meeting the computing power requirements in application scenarios such as artificial intelligence, intelligent manufacturing, and intelligent edge.In 2024, global AI Inference Server production reached approximately 657K units , with an average global market price of around US$ 24764 perunit .

The artificial intelligence computing center is based on an artificial intelligence computer cluster built on Al chips, AI servers, etc., covering a complete system of infrastructure (computer room infrastructure), hardware infrastructure, and software infrastructure, providing the full stack capability of artificial intelligence from the release of computing power from the underlying chips to the enabling of top-level applications. At present, more than 30 cities in China are building or proposing to build intelligent computing centers. During the 14th Five Year Plan period, investment in intelligent computing centers can drive the growth of core industry A by about 2.9-3.4 times, and it is expected to trigger a wave of intelligent computing center construction and application nationwide. Analysis of obstacles and challenges faced by the AI inference server industry.Overall, AI inference servers have benefited from the wave of artificial intelligence and informatization, the rapid development of AIGC represented by Chat GPT, domestic policy incentives, and the commercial cycle of large-scale investment in liquid cooled servers. From the perspective of enterprises, AI inference applications are more inclined towards commercial implementation compared to AI training. Among them, liquid cooled servers have significant cost reduction potential due to their suitability for higher computing power scenarios, and from the perspective of domestic manufacturers, due to policy incentives such as the "White Paper on Liquid Cooling Technology for Telecommunications Operators", the market prospects for liquid cooled servers used in data centers are expected to be broad.

This report studies the global AI Inference Server production, demand, key manufacturers, and key regions.

This report is a detailed and comprehensive analysis of the world market for AI Inference Server and provides market size (US$ million) and Year-over-Year (YoY) Growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI Inference Server that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global AI Inference Server total production and demand, 2021-2032, (K Units)

Global AI Inference Server total production value, 2021-2032, (USD Million)

Global AI Inference Server production by region & country, production, value, CAGR, 2021-2032, (USD Million) & (K Units), (based on production site)

Global AI Inference Server consumption by region & country, CAGR, 2021-2032 & (K Units)

U.S. VS China: AI Inference Server domestic production, consumption, key domestic manufacturers and share

Global AI Inference Server production by manufacturer, production, price, value and market share 2021-2026, (USD Million) & (K Units)

Global AI Inference Server production by Type, production, value, CAGR, 2021-2032, (USD Million) & (K Units)

Global AI Inference Server production by Application, production, value, CAGR, 2021-2032, (USD Million) & (K Units)

This report profiles key players in the global AI Inference Server market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, Intel, Inspur Systems, Dell, HPE, Lenovo, Huawei, IBM, Giga Byte, H3C, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI Inference Server market

Detailed Segmentation:

Each section contains quantitative market data including market by value (US$ Millions), volume (production, consumption) & (K Units) and average price (US$/Unit) by manufacturer, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.

Global AI Inference Server Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global AI Inference Server Market, Segmentation by Type:
Liquid Cooling
Air Cooling

Global AI Inference Server Market, Segmentation by Application:
IT and Communication
Intelligent Manufacturing
Electronic Commerce
Security
Finance
Other

Companies Profiled:
NVIDIA
Intel
Inspur Systems
Dell
HPE
Lenovo
Huawei
IBM
Giga Byte
H3C
Super Micro Computer
Fujitsu
Powerleader Computer System
xFusion Digital Technologies
Dawning Information Industry
Nettrix Information Industry (Beijing)
Talkweb
ADLINK Technology

Key Questions Answered:

1. How big is the global AI Inference Server market?

2. What is the demand of the global AI Inference Server market?

3. What is the year over year growth of the global AI Inference Server market?

4. What is the production and production value of the global AI Inference Server market?

5. Who are the key producers in the global AI Inference Server market?

6. What are the growth factors driving the market demand?

Table of Contents

150 Pages
1 Supply Summary
2 Demand Summary
3 World Manufacturers Competitive Analysis
4 United States VS China VS Rest of the World
5 Market Analysis by Type
6 Market Analysis by Application
7 Company Profiles
8 Industry Chain Analysis
9 Research Findings and Conclusion
10 Appendix
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