Global Artificial Intelligence Server Market (2023 Edition)

Global Artificial Intelligence Server Market (2023 Edition): Analysis By Value and Unit Shipment, Server Type (Data, Training, Inference, Others), AI Server Infrastructure, Hardware Architecture, End-use, By Region, By Country: Market Insights and Forecast (2019-2029)

Executive Summary

Azoth Analytics has released a research report titled “Global Artificial Intelligence Server Market (2023 Edition)” which provides a complete analysis of the Global Artificial Intelligence Server Market industry in terms of market segmentation by Server Type, AI Server Infrastructure, Hardware Architecture Overview, End-use, region and countries. The research study also assesses market growth indicators, restraints, sales growth and demand risk, and other important statistics, as well as a full assessment of current and future market trends that are relevant to the market evolution.

During the forecast period, 2024-2029, the Global Artificial Intelligence Server Market is expected to expand at a CAGR of 25%. The demand for AI servers is driven by the necessity for high computational power to train complex neural networks and execute real-time inferencing tasks. The market for artificial intelligence servers will continue to grow at a rapid pace primarily due to the growing acceptance of AI-driven solutions in various industries, as well as the growing complexity and scale of AI applications.

The Global Artificial Intelligence Server Market is expected to generate USD 72.6 Billion by the end of 2029, up from USD 17.5 Billion in 2022. The growth in AI server demand is driven by advancements in hardware technologies, including specialized accelerators like GPUs, TPUs, and FPGAs, optimizing performance and accelerating AI workloads. The overall shipment of Artificial Intelligence servers worldwide is witnessing significant growth, driven by the increasing integration of AI technologies across various industries. The increasing need for processing power and hardware specifically designed for AI tasks is driving market growth. To address the demand, cloud service providers, technology companies, and businesses worldwide are investing in AI server infrastructure, which contributes to progress in accelerators and hardware designs created especially for AI.

Innovations in GPU technology

The emergence of GPU technology has been a major driver of the AI Server Industry's growth. Initially designed for graphics illustration, GPUs have developed into efficient accelerators for workloads related to AI and machine learning. GPUs are essential components for training complicated neural networks because of their superiority in handling matrix operations, which are essential in deep learning, and their parallel processing capabilities.

Companies like NVIDIA, AMD, and others have been driving the constant advancement of GPU design, which has led to GPUs with increased computing capacity and unique features for AI applications. These developments allow for enhanced model complexity, quicker model training times, and better overall performance. As a result, to take advantage of the efficiency and speed provided by these developments, companies looking to implement AI applications are spending more and more on AI servers equipped with the most advanced GPUs.

Moreover, the need for AI servers with high-performance GPUs has increased due to the growth of AI workloads in a variety of industries, including healthcare, finance, and autonomous cars. As a result, the development of the industry is closely related to the continuous advancement of GPU technology, which is still a major factor.

Scope of the Report

• The report analyses the Global Artificial Intelligence Server Market by Value (USD Billion).
• The report analyses the Global Artificial Intelligence Server Shipment by Volume (Million Units).
• The report presents the analysis of the Global Artificial Intelligence Server Market for the historical period of 2019-2022, the estimated year 2023 and the forecast period of 2024-2029.
• The report analyses the Global Artificial Intelligence Server Market by Server Type (AI Data Server, AI Training Server, AI Inference Server, Other Server Types).
• The report analyses the Artificial Intelligence Server Market by AI Server Infrastructure (Cloud, On-premise, Edge).
• The report analyses the Artificial Intelligence Server Market by Hardware Architecture GPU Servers, ASIC Servers, FPGA Servers, Other Server Architecture).
• The report analyses the Artificial Intelligence Server Market by End-use (IT & Telecommunication, Transportation and Automotive, BFSI, Retail and Ecommerce, Healthcare and Pharmaceutical, Industrial Automation).
• The key insights of the report have been presented through the frameworks of SWOT and Porter’s Five Forces Analysis.
• Also, the major opportunities, trends, drivers and challenges of the industry has been analyzed in the report.
• The report tracks competitive developments, strategies, mergers and acquisitions and new product development. The companies analysed in the report include Nvidia Corporation, Huawei Technologies Co., Ltd., Hewlett Packard Enterprise, IBM Corporation, Dell Technologies Inc., Fujitsu Limited, ZTE Corporation, Super Micro Computer, Inc., Inspur, GUC.