Data Center GPU Market by Function (Inference, Training), Deployment (On-Cloud, On-Premise), End-User - Global Forecast 2024-2030
The Data Center GPU Market size was estimated at USD 15.11 billion in 2023 and expected to reach USD 17.70 billion in 2024, at a CAGR 17.83% to reach USD 47.67 billion by 2030.
A data center GPU, or graphics processing unit, is a specialized electronic circuit developed to rapidly influence and alter memory to rev the creation of pictures in a frame buffer intended for output to a display device. GPUs are broadly utilized in modern data centers to effectively execute tasks requiring vast computational power, as an essential computer hardware component. Modern data centers aim to deliver high levels of computational performance while maintaining energy efficiency. Achieving this balance is complex due to the volume and intricacy of contemporary technological workloads. Therefore, the role of GPUs within data centers, particularly those focused on services such as scalable cloud computing, data analytics, and machine learning, has become increasingly important. The escalating demand for data center services across various end-user industries, the increasing trend of GPU virtualizations, and the rising deployment of cloud-based services increase the adoption of data center GPU. However, the high maintenance and acquisition costs make it economically inaccessible for smaller businesses or startups. Nevertheless, Areas including edge computing, quantum computing, and cryptocurrency operations are expected to offer potential market innovation spaces.
Regional InsightsThe Data Center Graphics Processing Unit (GPU) market is evolving in the Americas owing to technological advancements and high-end GPU-based research models. High-tech industries, extensive R&D activities, and increased investment in AI and ML applications heavily influence the stability and growth of the data center GPU market in the Americas. The multiplicity of industries across the EU countries propels the need for efficient data processing, driving the demand for high-performance GPUs. The Middle East and Africa's digital transformation initiatives by governments and private sectors have witnessed an increased demand for efficient data processing units. Asia-Pacific is expected to witness significant growth in the data center GPU market, primarily driven by the rapidly growing IT and Telecommunication sector, the burgeoning eCommerce industry, and an increased emphasis on AI and ML applications. Besides, technological advancements in data center GPUs are anticipated to propel the growth of the Data Center Graphics Processing Unit (GPU) market globally.
Market InsightsMarket DynamicsThe market dynamics represent an ever-changing landscape of the Data Center GPU Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
Market DriversIncreasing digitalization across businesses worldwide
Growing trend of GPU virtualizations and rising deployment of cloud-based services
Surge in high-resolution video content and increasingly complex graphics
Market RestraintsHigh maintenance and acquisition costs
Market OpportunitiesTechnological advancements in data center GPU’s
Expanding use of Edge and quantum computing
Market ChallengesTechnical and operational issues in data center GPUs
Market Segmentation AnalysisFunction: Burgeoning adoption of the graphics processing units (GPUs) for training
Deployment: Evolving On-cloud solutions offering superior scalability owing to the inherent elasticity of cloud infrastructures
End-User: Proliferating utilization of graphics processing units (GPUs) by cloud service Providers
Market Disruption AnalysisPorter’s Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis
FPNV Positioning MatrixThe FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Data Center GPU Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share AnalysisThe market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Data Center GPU Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent DevelopmentsCloudflare to Deploy Nvidia GPUs at the Edge for Generative AI Inference - in up to 300 Data Centers
Cloudflare announced the deployment of Nvidia GPUs at the edge for generative AI inference in up to 300 data centers. With this deployment, Cloudflare aims to improve speed and performance while ensuring the delivery of high-quality services to its customers.
Unveiling Intel Data Center GPU Max 1550: Redefining AI and High-Performance Computing Landscape
Intel introduced its latest Data Center GPU, the Max-1550, specifically designed for AI applications. This GPU offers excellent scalability, power efficiency, and impressive performance, particularly in deep learning and inference tasks. It supports various connectivity options, including PCIe 4.0 and NVLink 2.0, providing flexibility for different system configurations.
NVIDIA's Data Center Platform Play Unveiled At GTC 2023
NVIDIA introduced its data center platform at GTC 2023, highlighting the capabilities of GPUs in data center operations. The platform aimed to enhance performance in AI, data analytics, and other high-performance computing workloads. It offered a range of features, including optimized AI software, new server hardware, and advanced system management technologies.
Strategy Analysis & RecommendationThe strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Data Center GPU Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company ProfilesThe report delves into recent significant developments in the Data Center GPU Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Asetek, Inc., ASUSTeK Computer Inc., Cisco Systems Inc., Dell Inc., Fujitsu Limited, GIGA-BYTE Technology Co., Ltd., Hewlett Packard Enterprise, Huawei Cloud Computing Technologies Co., Ltd., Intel Corporation, Inventec Corporation, Leadtek Research Inc., Lenovo, Matrox Graphics Inc., MiTAC Holdings Corp, NVIDIA Corporation, Quanta Computer Inc., SAPPHIRE Technology Limited., Super Micro Computer, Inc., and Tyan Computer Corporation.
Market Segmentation & CoverageThis research report categorizes the Data Center GPU Market to forecast the revenues and analyze trends in each of the following sub-markets:
Function
Inference
Training
Deployment
On-Cloud
On-Premise
End-User
Cloud Service Providers
Enterprises
Government
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom
Please Note: PDF & Excel + Online Access - 1 Year