The Market Reports

Synopsis

The global market for AI Inference Server was estimated to be worth US$ 16270 million in 2024 and is forecast to a readjusted size of US$ 49628 million by 2031 with a CAGR of 16.5% during the forecast period 2025-2031.

This report provides a comprehensive assessment of recent tariff adjustments and international strategic countermeasures on AI Inference Server cross-border industrial footprints, capital allocation patterns, regional economic interdependencies, and supply chain reconfigurations.

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 aims to provide a comprehensive presentation of the global market for AI Inference Server, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of AI Inference Server by region & country, by Type, and by Application.

The AI Inference Server market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Inference Server.

Market Segmentation
By Company

• 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

Segment by Type

• Liquid Cooling
• Air Cooling

Segment by Application

• IT and Communication
• Intelligent Manufacturing
• Electronic Commerce
• Security
• Finance
• Other

Segment by Region

• North America: United States, Canada, and Mexico
• Europe: United Kingdom, Germany, France, Spain, Italy, and Rest of Europe
• Asia Pacific: China, India, Japan, Australia, South Korea, and Rest of Asia Pacific
• Middle East & Africa: Saudi Arabia, South Africa, and Rest of MEA
• Latin America: Brazil, Argentina, and Rest of Latin America

*If you need a regional or country-specific version, or customized segmentation, we can tailor the report to your requirements.