PUBLISHER: QYResearch | PRODUCT CODE: 1861372
PUBLISHER: QYResearch | PRODUCT CODE: 1861372
The global market for Data Center Intelligent Inference Server was estimated to be worth US$ 76500 million in 2024 and is forecast to a readjusted size of US$ 135319 million by 2031 with a CAGR of 8.9% during the forecast period 2025-2031.
This report provides a comprehensive assessment of recent tariff adjustments and international strategic countermeasures on Data Center Intelligent Inference Server cross-border industrial footprints, capital allocation patterns, regional economic interdependencies, and supply chain reconfigurations.
Data center intelligent inference servers are high-performance servers specifically designed for AI model inference calculations. Typically equipped with a GPU, NPU, or dedicated AI accelerator chip, they offer high throughput, low latency, and optimized energy efficiency. They are primarily used in applications such as speech recognition, image processing, natural language processing, and recommendation systems. Data center intelligent inference servers are expected to sell approximately 1.7 million units in 2024, with an average unit price of approximately $45,000.
Intelligent inference servers are benefiting from the surge in artificial intelligence and informatization, the rapid development of AIGC (AIGC) represented by Chat GPT, DeepSeek, and Grok, domestic policy incentives, and the large-scale commercialization of liquid-cooled servers. The market is expected to maintain medium-to-high growth in the next few years. From an enterprise perspective, AI inference applications are more commercially viable than AI training, and the scale of inference servers is expected to grow faster than that of training servers in the next few years. Liquid-cooled servers, due to their adaptability to higher computing power scenarios and significant cost reduction potential, are also expected to have a broad market prospect for liquid-cooled servers used in data centers, driven by policy incentives such as the "White Paper on Liquid Cooling Technology for Telecom Operators."
This report aims to provide a comprehensive presentation of the global market for Data Center Intelligent Inference Server, focusing on the total sales volume, sales revenue, price, key companies market share and ranking, together with an analysis of Data Center Intelligent Inference Server by region & country, by Type, and by Application.
The Data Center Intelligent Inference Server market size, estimations, and forecasts are provided in terms of sales volume (K Units) and sales revenue ($ 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 Data Center Intelligent Inference Server.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size (value, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Center Intelligent Inference Server manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Sales, revenue of Data Center Intelligent Inference Server in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Sales, revenue of Data Center Intelligent Inference Server in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.