The U.S. AI server market size is anticipated to reach USD 220.40 billion by 2030 and is expected to expand at a CAGR of 37.1% during the forecast period, according to a new report by Grand View Research, Inc. The market is being driven by the surging demand for artificial intelligence in a wide range of industries, including healthcare, finance, automotive, and logistics. 

As organizations increasingly deploy machine learning and deep learning models to enhance decision-making, automate processes, and personalize services, the need for robust server infrastructure capable of handling complex AI workloads has intensified. This has led to significant investments in high-performance computing systems, particularly those powered by GPUs and specialized AI accelerators, which offer the computational power required for training and inference tasks.

The presence of leading technology firms and cloud service providers in the U.S. has further accelerated market growth. These entities continuously innovate in server architecture, offering modular and scalable solutions tailored to specific AI applications. The rise of edge computing and real-time analytics has also influenced server design, prompting the development of compact, energy-efficient systems that support low-latency processing at the network's edge. Moreover, federal initiatives such as the CHIPS and Science Act and the National AI Research Resource (NAIRR) inject substantial funding into domestic AI infrastructure, fostering public-private partnerships and enhancing national competitiveness in AI technologies.

Sustainability has emerged as a critical consideration in server procurement, with enterprises and data centers prioritizing energy-efficient designs to meet environmental, social, and governance (ESG) goals. Innovations in liquid cooling, AI-powered workload optimization, and renewable energy integration are reshaping the landscape of AI server deployment. Additionally, the verticalization of AI adoption—where industries develop domain-specific models—has created demand for customized server configurations that address unique performance and thermal requirements. This trend prompts U.S.-based OEMs and integrators to deliver purpose-built solutions catering to specialized workloads, further fueling market expansion.

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Further key findings from the report suggest:

• By processor type, the GPU-based servers segment led the market with the largest revenue share of 52.19%in 2024.

• By cooling technology, the air cooling segment led the market with the largest revenue share of 65.41% in 2024.

• By form factor, the rack-mounted servers segment led the market with the largest revenue share of 39.61% in 2024.

• By end use, the IT & telecommunication segment led the market with the largest revenue share of 26.60% in 2024, due to enabling intelligent automation, enhancing network performance, and powering next-generation digital services.

List of Key Players in the U.S. AI Server Market 

• Dell Technologies

• Hewlett Packard Enterprise (HPE)

• IBM Corporation

• NVIDIA Corporation

• Super Micro Computer, Inc.

• Intel Corporation

• Lenovo Group Limited

• Cisco Systems, Inc.

• ADLINK Technology Inc.

• Advanced Micro Devices, Inc. (AMD)

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About Grand View Research:

Grand View Research, Inc. is a market research and consulting company that provides off-the-shelf, customized research reports and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and energy. With a deep-seated understanding of varied business environments, Grand View Research provides strategic objective insights.