Data Center GPU Market by Function, Deployment, End-User

List of Tables

[189 Pages Report] 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.

KEY MARKET STATISTICS
Base Year [2023]	USD 15.11 billion
Estimated Year [2024]	USD 17.70 billion
Forecast Year [2030]	USD 47.67 billion
CAGR (%)	17.83%

Regional Insights

The 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 Insights

Market Dynamics

The 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 Drivers
- Increasing 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 Restraints
- High maintenance and acquisition costs

Market Opportunities
- Technological advancements in data center GPU's
- Expanding use of Edge and quantum computing

Market Challenges
- Technical and operational issues in data center GPUs

Market Segmentation Analysis
- Function: 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 Analysis
Porter's Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The 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 Analysis

The 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 Developments

Cloudflare 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. [Published On: 2023-09-29]

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. [Published On: 2023-06-13]

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. [Published On: 2023-03-22]

Strategy Analysis & Recommendation

The 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 Profiles

The 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 & Coverage

This 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

Product Code: MRR-92249FEC2CC3

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing digitalization across businesses worldwide
  - 5.1.1.2. Growing trend of GPU virtualizations and rising deployment of cloud-based services
  - 5.1.1.3. Surge in high-resolution video content and increasingly complex graphics
- 5.1.2. Restraints
  - 5.1.2.1. High maintenance and acquisition costs
- 5.1.3. Opportunities
  - 5.1.3.1. Technological advancements in data center GPU's
  - 5.1.3.2. Expanding use of Edge and quantum computing
- 5.1.4. Challenges
  - 5.1.4.1. Technical and operational issues in data center GPUs
5.2. Market Segmentation Analysis
- 5.2.1. Function: Burgeoning adoption of the graphics processing units (GPUs) for training
- 5.2.2. Deployment: Evolving On-cloud solutions offering superior scalability owing to the inherent elasticity of cloud infrastructures
- 5.2.3. End-User: Proliferating utilization of graphics processing units (GPUs) by cloud service Providers
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Data Center GPU Market, by Function

6.1. Introduction
6.2. Inference
6.3. Training

7. Data Center GPU Market, by Deployment

7.1. Introduction
7.2. On-Cloud
7.3. On-Premise

8. Data Center GPU Market, by End-User

8.1. Introduction
8.2. Cloud Service Providers
8.3. Enterprises
8.4. Government

9. Americas Data Center GPU Market

9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States

10. Asia-Pacific Data Center GPU Market

10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam

11. Europe, Middle East & Africa Data Center GPU Market

11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom

12. Competitive Landscape

12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
- 12.3.1. Cloudflare to Deploy Nvidia GPUs at the Edge for Generative AI Inference - in up to 300 Data Centers
- 12.3.2. Unveiling Intel Data Center GPU Max 1550: Redefining AI and High-Performance Computing Landscape
- 12.3.3. NVIDIA's Data Center Platform Play Unveiled At GTC 2023
12.4. Strategy Analysis & Recommendation

13. Competitive Portfolio

13.1. Key Company Profiles
13.2. Key Product Portfolio