DUBLIN–(BUSINESS WIRE)–The “Global AI Server Market: Analysis By Type, By Processing Unit, By Shipments, By Region, Size, Trends and Forecast to 2029” report has been added to ResearchAndMarkets.com’s offering.

The global AI server market was valued at US$12.34 billion in 2023, and is expected to be worth US$50.65 billion in 2029. The AI server market is expected to grow at a CAGR of 26.54% over the years 2024-2029.

AI servers are specialized computing systems designed for handling artificial intelligence (AI) tasks, including machine learning model training, large dataset processing, and AI algorithm execution. They feature powerful hardware components like GPUs or TPUs to accelerate AI workloads. Equipped with advanced software frameworks, these servers facilitate the development and deployment of AI applications. With the increasing adoption of digital transformation, businesses require scalable and flexible computing resources, making AI servers crucial for meeting the computational demands of AI applications. AI server shipments are anticipated to increase to 6.25 million by 2029.

The AI server market is propelled by various driving factors and is poised to witness noteworthy trends in the upcoming years. One key driving factor is the escalating demand for advanced AI applications across diverse sectors such as healthcare, finance, manufacturing, and autonomous systems. The increasing complexity of these applications necessitates high-performance computing, fostering a robust demand for AI servers equipped with specialized hardware. Another driving force is the continuous evolution of AI models, necessitating powerful training servers that can handle intricate algorithms and vast datasets.

Additionally, the rise of edge computing and the integration of AI into edge devices contribute to the growing demand for efficient inference servers capable of real-time decision-making. Other significant factors include the accelerating investment in machine learning, proliferation of inference applications and higher rate of adoption of AI cloud service.

Market Segmentation Analysis:

By Type: The training segment dominated the market in 2023, due to the increasing demand for sophisticated AI models across various industries, including healthcare, finance, autonomous vehicles, and natural language processing. As organizations strive to deploy more advanced and accurate AI solutions, the need for powerful AI servers equipped with specialized hardware, such as high-performance GPUs and TPUs, has surged. The constant evolution of machine learning models and the exploration of deep learning techniques contribute to the sustained growth of the training segment in the AI server market. However, it is expected that the market size of inference servers would surpass that of training servers for the first time in 2026 and the gap between these two kinds of servers will continue to widen.

By Processing Unit: In 2023, the GPU segment asserts its dominance in the market, propelled by the escalating demand for high-performance computing in AI applications. The robust growth of the GPU segment is primarily attributed to the increasing sophistication of AI models and the expanding size of datasets. GPUs’ parallel processing capabilities play a pivotal role in facilitating quicker training and more efficient inference, thereby contributing to the overall progression of AI technologies. Simultaneously, the non-GPU segment is anticipated to exhibit the fastest CAGR during the forecasted period.

By Region: North America dominates the global AI server market due to its advanced technology landscape, significant investments, and the presence of leading tech companies. The US, particularly Silicon Valley, plays a crucial role in influencing AI server development and adoption. The competitive industries in North America, such as e-commerce, social media, and autonomous vehicles, drive the demand for cutting-edge AI infrastructure. Companies in the region utilize AI servers for diverse applications, including natural language processing in customer service and training complex machine learning models for recommendation systems. The convergence of 5G, IIoT (Industrial Internet of Things), and advanced technologies within the expansive cloud ecosystem highlights not only technological evolution but also emphasizes the central role of cloud services in shaping the future of the AI server market in the country.

The APAC region is poised to lead the global AI server market’s rapid growth, fueled by a surge in cloud adoption. It is predicted that the demand for cloud services in APAC will surpass the rest of the world, driven by businesses seeking increased agility and resilience amid the ongoing impact of COVID-19. There is a noticeable uptick in the percentage of IT spending dedicated to the cloud. China, Japan, and India play key roles in shaping the AI server landscape in APAC. The region benefits from diverse economies, each contributing to AI server adoption based on specific needs. In India, the growing tech industry is integrating AI servers into projects across e-commerce, healthcare, and finance.

In India, a growing tech industry is embracing AI technologies, with AI servers becoming integral to projects in e-commerce, healthcare, and finance. The government’s initiatives to promote digital transformation, such as the Digital India campaign, further stimulate the adoption of AI infrastructure. For instance, in January 2023, the central government of India announced the launch of the Production Linked Incentive (PLI) scheme and additional incentives for server and IT hardware manufacturers. The government also plans to offer additional incentives for manufacturers to incorporate Indian-designed IP into their products. Such initiatives in countries such as India, where digitization is happening rapidly, are expected to boost the availability of servers at a cheaper rate, thereby driving the market’s growth.

Market Dynamics:

Growth Drivers

  • Increasing Adoption of AI and Machine Learning (ML)
  • Favorable Government Regulations
  • Advancements in GPU Technology
  • Increased Research and Development Activities
  • Integration of AI in Autonomous Systems
  • Rise in Big Data Analytics


  • Data Privacy and Security Concerns
  • Complexity of AI Algorithms and Skill Shortages


  • Edge AI Computing
  • Growing Demand for Explainable AI (XAI)
  • AI-as-a-Service (AIaaS)
  • Diversified Applications of Generative AI
  • High Rate of Adoption of AI Cloud Service

Competitive Landscape:

The AI server market is highly competitive, with companies continually innovating to improve performance, energy efficiency, and scalability for AI workloads. Additionally, new entrants and partnerships can influence the market dynamics. The competitive landscape is shaped by ongoing technological advancements, strategic partnerships, and market trends influencing the adoption of AI and ML across various industries. Companies across the globe are actively participating in this competitive environment, aiming to provide solutions that meet the evolving needs of AI-driven applications.

The key players of the global AI server market are:

  • Nvidia
  • IBM
  • Hewlett Packard
  • Dell
  • Huawei
  • Fujitsu
  • Lenovo
  • Adlink Technology
  • Giga-Byte Technology
  • Inventec
  • Quanta Computer
  • PhoenixNAP
  • PSSC Labs

For more information about this report visit https://www.researchandmarkets.com/r/kturod

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.



Laura Wood, Senior Press Manager


For E.S.T Office Hours Call 1-917-300-0470

For U.S./ CAN Toll Free Call 1-800-526-8630

For GMT Office Hours Call +353-1-416-8900