According to our (Global Info Research) latest study, the global AI Inference Server market size was valued at US$ 20390 million in 2025 and is forecast to a readjusted size of US$ 57500 million by 2032 with a CAGR of 16.1% during review period.
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 is a detailed and comprehensive analysis for global AI Inference Server market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Inference Server market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2021-2032
Global AI Inference Server market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2021-2032
Global AI Inference Server market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2021-2032
Global AI Inference Server market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Inference Server
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Inference Server market based on the following parameters - company overview, sales quantity, revenue, 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.
Market Segmentation
AI Inference Server market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Liquid Cooling
Air Cooling
Market segment by Application
IT and Communication
Intelligent Manufacturing
Electronic Commerce
Security
Finance
Other
Major players covered
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
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe AI Inference Server product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of AI Inference Server, with price, sales quantity, revenue, and global market share of AI Inference Server from 2021 to 2026.
Chapter 3, the AI Inference Server competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the AI Inference Server breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2021 to 2032.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2021 to 2026.and AI Inference Server market forecast, by regions, by Type, and by Application, with sales and revenue, from 2027 to 2032.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of AI Inference Server.
Chapter 14 and 15, to describe AI Inference Server sales channel, distributors, customers, research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Inference Server. Industry analysis & Market Report on AI Inference Server is a syndicated market report, published as Global AI Inference Server Market 2026 by Manufacturers, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Inference Server market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.