AUSTIN, Dec. 5, 2025 (Globe Newswire) — Global AI server market It was valued at USD 182.06 billion in 2025E and is expected to reach USD 2235.86 billion by 2033, growing at a CAGR of 36.91% between 2026 and 2033.
The market for AI servers is rapidly expanding as the need for high-performance computing to power AI, machine learning, and deep learning applications increases across industries. The demand for robust and scalable server infrastructure is being driven by the increasing use of cloud-based AI applications, big data analytics, and autonomous technologies.
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US AI server market size It was valued at USD 62.16 billion in 2025E and is expected to reach USD 753.53 billion by 2033, growing at a CAGR of 36.69% from 2026 to 2033.
Expansion in the US is being driven by the growing use of AI, machine learning, and big data analytics in business, further propelling the AI server market. Growing demand for cloud-based AI services, high-performance computing, and cutting-edge GPU/CPU technology is driving investment in scalable and efficient server infrastructure.
Segmentation analysis:
By processor type
The GPU-based server segment dominated the AI server market with the highest revenue share of around 72% in 2025 and is expected to grow at the fastest CAGR from 2026 to 2033 due to its superior parallel processing power, high computing power, and efficiency in processing AI workloads such as deep learning, machine learning, and data analytics.
By cooling technology
The air-cooled segment dominated the AI server market with the highest revenue share of approximately 53% in 2025 due to its cost efficiency, simplicity, and widespread adoption in existing data centers to maintain optimal server temperature. The liquid cooling segment is expected to grow at the fastest CAGR from 2026 to 2033 due to its superior heat dissipation, energy efficiency, and suitability for high-performance AI workloads.
By form factor
The rack-mounted server segment dominated the AI server market with the highest revenue share of around 81% in 2025 and is expected to grow at the fastest CAGR from 2026 to 2033 as it offers space optimization, ease of scalability, and centralized management of high-density computing environments.
By end use
The IT and communications sector dominated the AI server market with the highest revenue share of around 34% in 2025 due to high demand for AI-driven network optimization, cloud services, and large-scale data processing. The automotive sector is expected to grow at the fastest CAGR from 2026 to 2033 due to increased adoption of AI for autonomous driving, connected cars, and advanced driver assistance systems (ADAS).
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Regional insights:
North America dominated the AI server market with a 42% share in 2025 due to advanced data center infrastructure, high adoption of AI technology across the enterprise, and strong presence of leading server manufacturers. Asia Pacific is expected to grow at the fastest CAGR of approximately 39.06% from 2026 to 2033, driven by rapid digital transformation, increased adoption of AI across industries, and expansion of cloud infrastructure.
Rapid growth of artificial intelligence applications across industries drives market growth globally
The widespread use of AI technology in industries such as manufacturing, healthcare, finance, and automotive has increased the need for powerful computing infrastructure. These applications require AI servers that can manage complex calculations, real-time analysis, and large amounts of data processing. Businesses are investing in high-performance servers to increase operational efficiency, increase predictive accuracy, and train AI models faster. One of the key factors driving the demand for cutting-edge AI server solutions around the world is the increasing reliance on AI for automation, intelligent insights, and decision-making.
Major players:
- NVIDIA Corporation
- Dell Technologies
- Hewlett Packard Enterprise (HPE)
- IBM Co., Ltd.
- Inspur system
- lenovo group limited
- Super Micro Computer Co., Ltd. (Supermicro)
- Huawei Technologies
- Fujitsu Limited
- Cisco Systems Corporation
- H3C Technology
- ADLINK Technology
- Lambda Institute
- gigabyte technology
- Phoenix NAP
- AIME
- Oracle Corporation
- Amazon Web Services (AWS)
- Microsoft Corporation
- cerebral system
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Recent developments:
- 2025Oracle and NVIDIA have begun to integrate more tightly. NVIDIA AI Enterprise is now available natively on OCI with the GB200 NVL72 system for large-scale AI inference.
- 2025AWS announced a multi-year, $38 billion agreement with OpenAI to provide large-scale GPU infrastructure for training and inference, including EC2 Ultra servers.
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