AI Server Market Size, Share, Trends, Industry Analysis, and Forecast (2025 – 2031)

AI Server Market Size

The global AI server market size was valued at $186.87 billion in 2025 and is projected to reach $970.69 billion by 2031, growing at a CAGR of 31.6% during the forecast period.

AI Server Market Overview

AI servers are specialized computing systems designed to handle the unique demands of artificial intelligence workloads, which often require immense processing power and high-speed data access. These servers are equipped with advanced hardware components, such as powerful GPUs and high-speed memory, enabling them to efficiently process large datasets essential for AI applications like machine learning and deep learning.

Companies can benefit from AI servers by leveraging their capabilities to enhance data analysis, improve decision-making processes, and optimize operational efficiency. For instance, NVIDIA's DGX-2 server, launched in 2018, integrates 16 NVIDIA V100 Tensor Core GPUs, providing a powerful solution for large-scale AI projects. Additionally, ASUS has developed AI servers that support applications in sectors like seismic research and cloud computing, exemplified by their partnership with Yotta Data Services in India to launch Shakti Cloud, an AI-centric cloud platform. Furthermore, the ongoing advancements in AI server technology, such as the integration of AI-powered management tools and energy-efficient designs, are enabling businesses to scale their AI initiatives effectively while reducing operational costs. As AI continues to evolve, the demand for these high-performance servers is expected to grow, driving innovation and transformation across various industries.

AI Server Market Dynamics

The AI server market is expected to witness significant growth in the future due to the increasing adoption of AI and machine learning technologies across various industries, growing volumes of data generated by digital activities, and advancements in GPU technology. However, the high initial costs associated with AI server infrastructure, lack of skilled workforce with expertise in AI and machine learning technologies, and compatibility issues between AI servers and existing IT infrastructure are restraining the growth of the market.

Furthermore, expansion of AI server production capacity by major manufacturers to meet the rising demand, growing popularity of cloud services and the need for AI capabilities as a service, and advancements in AI chip design and the development of specialized processors for AI workloads are the key trends propelling the AI server market.

Increasing adoption of AI and machine learning technologies across various industries is Driving the AI Server Market

The increasing adoption of AI and machine learning technologies across various industries is significantly impacting the AI server market, increasing demand for AI in sectors such as healthcare, finance, and automotive, where organizations are leveraging AI for data analytics, operational efficiency, and innovation.

• For example, in November 2023, KX launched the KDB.AI Server Edition, a high-performance vector database designed to enhance the scalability of AI applications, addressing challenges faced by enterprises in deploying AI solutions.

Additionally, major tech companies are significantly increasing their capital expenditures to support AI infrastructure;

• Microsoft reported a 66% year-over-year increase to $11 billion in 2023.
• Alphabet's capital expenditures nearly doubled to $12 billion.

This investment trend underscores the critical role of AI servers in processing large datasets and executing complex AI algorithms. Furthermore, the integration of AI in cloud services is driving the demand for AI servers that deliver AI capabilities as a service, facilitating broader access to advanced AI technologies.

• According to a recent report, AI server penetration is expected to grow from 8.8% of all servers in 2023 to 30% by 2029, reflecting the increasing reliance on AI across various applications.

As organizations continue to prioritize AI for competitive advantage, the AI server market is set to expand rapidly, driven by innovations and investments in high-performance computing solutions.

By Hardware, the GPU Segment is projected to be the Largest Segment in the AI Server Market

GPU (Graphics Processing Unit) is the largest segment in the AI server market, driven by its powerful processing capabilities that are ideal for tasks like deep learning and neural network training. With thousands of cores, GPUs speed up complex computations, allowing for quick model iterations and better performance. As AI and machine learning technologies continue to advance and become more widely adopted across various industries, the demand for powerful GPUs to accelerate these workloads is rising significantly.

• In 2023, the GPU segment held a dominant position in the AI server market, capturing more than a 56% share, underscoring its importance in the AI ecosystem.

Manufacturers like NVIDIA and AMD are at the forefront of developing faster and more energy-efficient GPUs capable of handling increasingly complex AI algorithms and larger data volumes. These advancements are vital as AI applications become more intricate and widespread.

• In November 2023, NVIDIA launched its new line of AI servers equipped with the latest A100 Tensor Core GPUs, designed to support a wide range of AI applications. The company further showcased its advanced AI server solutions and deep learning research for autonomous driving at GTC 2024 in March 2024, highlighting the GB6181 AI accelerator capable of supporting high-performance AI workloads with up to eight NVIDIA H100 Tensor Core GPUs.

The ecosystem supporting GPU development is robust, featuring extensive software libraries and frameworks that facilitate easier integration into AI systems, reducing development times and enhancing the versatility of GPUs. The combination of increasing AI adoption, advancements in GPU technology, supportive ecosystem, and the launch of new GPU-powered AI server solutions is driving the high growth rate of the GPU segment in the AI Server market.

By Geography, North AmericaHolds the Largest Share in the Market Revenue

North America holds the largest share of the AI server market, driven by the rapid adoption of artificial intelligence across various industries, significant investments in technology, and a robust ecosystem of tech companies and research institutions.

• In 2023, North America accounted for approximately 33% of the global AI server market, driven by the increasing need for advanced computing power to support AI applications in sectors such as healthcare, finance, and automotive.
• For example, in May 2023, Oracle and Microsoft announced a collaboration to share server resources to meet the growing demands of large-scale AI cloud customers, highlighting the competitive landscape in the region.

Additionally, the U.S. government has been actively promoting AI research and development, with initiatives aimed at fostering innovation and enhancing the country's technological capabilities.

• In November 2023, KX launched the KDB.AI Server Edition, a high-performance vector database designed for generative AI applications, which reflects the increasing focus on AI-driven solutions.

Furthermore, the integration of cutting-edge technologies like 5G and IoT within a cloud ecosystem is enhancing the capabilities of AI servers, making them essential for businesses looking to leverage AI for operational efficiency and innovation. As organizations continue to invest in AI technologies, the North American market is poised for significant growth, driven by a combination of technological advancements, strategic partnerships, and government support.

Key Target Audience:

• AI Server Manufacturers
• Cloud Service Providers
• Enterprises across Various Industries
• Research Institutions and Universities Conducting AI Research
• Data Center Operators and Owners

List of the Key Players Profiled in the Report Includes:

• Foxconn
• Hewlett Packard Enterprise Company
• Intel Corporation
• Inventec Corporation
• MiTAC International Corporation
• Nvidia Corporation
• Quanta Computer Inc.
• Super Micro Computer, Inc.
• Wistron Corporation
• Wiwynn Corporation

Recent Developments:

• In June 2024, Foxconn announced plans to establish an advanced computing center in Kaohsiung, Taiwan, utilizing the NVIDIA Blackwell platform. This center will feature 4,608 GPUs and is expected to be completed by 2026, further solidifying Foxconn's commitment to AI technology and its applications in smart factories and cities.
• In February 2024, HPE introduced its new line of AI-optimized servers designed to accelerate machine learning and data analytics workloads. These servers leverage HPE's advanced computing architecture to deliver enhanced performance for AI applications, catering to enterprises looking to harness AI for competitive advantage.
• In March 2024, Intel announced the launch of its latest AI server solutions featuring the new Xeon Scalable processors, which are optimized for AI workloads. This release aims to provide businesses with the necessary infrastructure to deploy AI applications effectively and efficiently.
• In April 2024, Quanta Computer announced the launch of its new AI server solutions aimed at enhancing cloud computing capabilities. These servers are designed to support large-scale AI workloads, catering to the increasing demand for AI infrastructure in various industries.
• In February 2024, Supermicro unveiled its latest AI server line, featuring optimized configurations for deep learning and AI training. The new servers are designed to deliver high performance and efficiency, addressing the needs of enterprises adopting AI technologies.
• In March 2024, Wistron announced its plans to increase production capacity for AI servers to meet the rising demand from global tech companies. This expansion aligns with the growing trend of AI adoption across various sectors..

Market Segmentation:

The research report includes in-depth coverage of the industry analysis with size, share, and forecast for the below segments:

Market by, Servers:

• AI data server
• AI training server
• AI inference server
• Other Servers

Market by, Hardware:

• GPU (Graphics Processing Unit)
• ASIC (Application-Specific Integrated Circuit)
• FPGA (Field-Programmable Gate Array)
• CPU (Central Processing Unit)
• Other Hard wares

Market by, Memory Capacity:

• Up to 512GB
• Up to 1TB
• Up to 2TB
• Over 2TB

Market by, End User:

• IT & telecommunication
• Transportation and automotive
• BFSI
• Retail and ecommerce
• Healthcare and pharmaceutical
• Industrial automation
• Other End Users

Market by, Geography:

The AI server market report also analyzes the major geographic regions and countries of the market. The regions and countries covered in the study include:

• North America (The United States, Canada, Mexico), Market Estimates, Forecast & Opportunity Analysis
• Europe (Germany, France, UK, Italy, Spain, Rest of Europe), Market Estimates, Forecast & Opportunity Analysis
• Asia Pacific (China, Japan, India, South Korea, Australia, New Zealand, Rest of Asia Pacific), Market Estimates, Forecast & Opportunity Analysis
• South America (Brazil, Argentina, Chile, Rest of South America), Market Estimates, Forecast & Opportunity Analysis
• Middle East & Africa (UAE, Saudi Arabia, Qatar, Iran, South Africa, Rest of Middle East & Africa), Market Estimates, Forecast & Opportunity Analysis

The report offers insights into the following aspects:

• Analysis of major market trends, factors driving, restraining, threatening, and providing opportunities for the market.
• Analysis of the market structure by identifying various segments and sub-segments of the market.
• Understand the revenue forecast of the market for North America, Europe, Asia-Pacific, South America, and Middle East & Africa.
• Analysis of opportunities by identification of high-growth segments/revenue pockets in the market.
• Understand major player profiles in the market and analyze their business strategies.
• Understand competitive developments such as joint ventures, alliances, mergers and acquisitions, and new product launches in the market.