AI Inference Server Research: with a compound annual growth rate (CAGR) of 19.3% in the next few years QY

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AI Inference Server Research: with a compound annual growth rate (CAGR) of 19.3% in the next few years

QY Research Inc. (Global Market Report Research Publisher) announces the release of 2025 latest report “AI Inference Server- Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031”. Based on current situation and impact historical analysis (2020-2024) and forecast calculations (2025-2031), this report provides a comprehensive analysis of the global Wire Drawing Dies market, including market size, share, demand, industry development status, and forecasts for the next few years.

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.

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https://www.qyresearch.com/reports/4817552/ai-inference-server

AI Inference Server Market Summary

The AI inference server provides users with powerful real-time inference capabilities and is widely used in central AI inference scenarios, helping users cope with heavy computing pressures. It features superior computing performance, high environmental adaptability, low energy consumption, easy deployment and maintenance, and support for cloud-edge collaboration, meeting the computing power requirements of application scenarios such as artificial intelligence, smart manufacturing, and intelligent edge computing.

According to the latest report "Global AI Inference Server Market Report 2024-2030" by the QYResearch research team, the global AI inference server market size is expected to reach US$39.35 billion in 2031, with a compound annual growth rate (CAGR) of 19.3% in the next few years.

Figure00001. Global AI Inference Server Market Size (US$ Million), 2019-2030

Above data is based on report from QYResearch: Global AI Inference Server Market Report 2024-2030 (published in 2024). If you need the latest data, plaese contact QYResearch.

Figure00002. Global AI Inference Server Top 18 Players Ranking and Market Share (Ranking is based on the revenue of 2023, continually updated)

AI Inference Server

Above data is based on report from QYResearch: Global AI Inference Server Market Report 2024-2030 (published in 2024). If you need the latest data, plaese contact QYResearch.

According to QYResearch Top Players Research Center, the global key manufacturers of AI Inference Server include Dell, Inspur Systems, HPE, Huawei, Super Micro, H3C（Unisplendour Corporation）, ADLINK Technology, Dawning Information Industry, Lenovo, Nettrix Information Industry (Beijing), etc.

In 2024, the global top 10 players had a share approximately 66.0% in terms of revenue.

Figure00003. AI Inference Server, Global Market Size, Split by Product Segment

Based on or includes research from QYResearch: Global AI Inference Server Market Report 2024-2030.

In terms of product type, liquid cooling is currently the most important product segment, accounting for approximately 63.0% of the share.

In terms of product applications, enterprise IT and communications are currently the main sources of demand, accounting for approximately 31.9% of the share.

Key Drivers for AI Inference Servers: With the rapid adoption of large models and edge intelligence, enterprises are seeing a significant increase in demand for real-time inference and low-latency computing. Inference servers can operate efficiently in scenarios such as intelligent driving, medical image recognition, financial risk control, and recommendation systems. Furthermore, the iterative upgrades of specialized inference chips such as GPUs, ASICs, and FPGAs have significantly improved cost-effectiveness. Furthermore, the convergence of cloud computing and edge computing is driving more enterprises and institutions to deploy AI inference servers to meet large-scale applications.

Main Obstacles: AI inference server hardware is expensive and energy-intensive, with stringent requirements for heat dissipation and power supply. Furthermore, the training and inference software ecosystems remain fragmented and lack compatibility. Data privacy, compliance, and security requirements further complicate enterprise deployment. Furthermore, some industry clients lack experience in AI engineering implementation, which also hinders the rapid adoption of inference servers.

Industry development opportunities: With the rise of emerging applications such as generative AI, intelligent manufacturing, autonomous driving, and smart healthcare, the demand for inference computing will grow exponentially. New technologies such as green, low-power AI chips and liquid cooling/immersion cooling will create optimization space for inference servers. At the same time, the investment of various countries in digital transformation and AI industry policies will create broad opportunities for the large-scale application and cross-industry penetration of AI inference servers.

The report provides a detailed analysis of the market size, growth potential, and key trends for each segment. Through detailed analysis, industry players can identify profit opportunities, develop strategies for specific customer segments, and allocate resources effectively.

The AI Inference Server market is segmented as below:
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

Each chapter of the report provides detailed information for readers to further understand the AI Inference Server market:

Chapter 1: Introduces the report scope of the AI Inference Server report, global total market size (valve, 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. (2020-2031)
Chapter 2: Detailed analysis of AI Inference Server manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc. (2020-2025)
Chapter 3: Provides the analysis of various AI Inference Server 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. (2020-2031)
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.(2020-2031)
Chapter 5: Sales, revenue of AI 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..(2020-2031)
Chapter 6: Sales, revenue of AI Inference Server in country level. It provides sigmate data by Type, and by Application for each country/region.(2020-2031)
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. (2020-2025)
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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