Data Center Graphical Processing Unit Gpu Market
Data Center Graphical Processing Unit (GPU) Market Forecasts to 2030 - Global Analysis By Deployment Model (Cloud and On-premises), Function (Inference and Training), End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $14.99 BN |
|
Projected Year Value (2030) |
US $111.64 BN |
|
CAGR (2023 - 2030) |
33.2% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
According to Stratistics MRC, the Global Data Center Graphical Processing Unit (GPU) Market is accounted for $14.99 billion in 2023 and is expected to reach $111.64 billion by 2030 growing at a CAGR of 33.2% during the forecast period. Data Center Graphical Processing Units (GPUs) are specialized processors designed to accelerate graphics rendering and parallel processing tasks within data center environments. Their parallel processing capabilities enable simultaneous execution of multiple tasks, enhancing computational efficiency. In data centres, GPUs are used to accelerate tasks such as artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), data analytics, and scientific simulations.
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Market Dynamics:
Driver:
Rising adoption of data center GPUs in enterprises
Enterprises are increasingly leveraging GPUs to enhance their computational capabilities for tasks like data analytics, artificial intelligence, and machine learning. GPUs, with their parallel processing prowess, accelerate complex computations, enabling quicker insights and decision-making. The need for GPU-equipped data centres is increasing as companies embrace data-driven operations. Furthermore, these GPUs not only improve performance in traditional graphics processing but also empower enterprises to address the growing demands of advanced computing workloads. Thus, it will propel market growth.
Restraint:
High initial costs
The acquisition and implementation expenses associated with GPU technology, including the GPUs themselves and supporting infrastructure like cooling systems, present a considerable financial barrier for organizations. This initial investment can deter some businesses, particularly smaller enterprises, from embracing GPU solutions, impacting the overall adoption rate. Despite the long-term benefits of computational performance, the substantial upfront expenditures may hinder widespread integration of GPUs in data centres, limiting the market's growth.
Opportunity:
Demand for high-performance computing
GPUs provide improved performance by effectively managing the parallel workloads that are characteristic of HPC operations due to their parallel processing capabilities. The need for GPU-accelerated solutions in data centres is rising as various sectors rely on intricate and data-intensive simulations. Moreover, GPUs are essential for increasing computational power and accelerating research outcomes in data analysis, scientific research, and engineering, where there is a growing need to meet emerging needs. Thereby, it will enhance market expansion.
Threat:
Data security concerns
As GPUs play a pivotal role in processing sensitive and confidential data in data centres, any security breach or vulnerability in GPU architectures could compromise data integrity and confidentiality. Instances of data breaches could lead to a loss of trust among organisations, deterring them from adopting or expanding GPU usage. The evolving landscape of cybersecurity threats necessitates robust measures to safeguard data processed by GPUs, and any perceived weaknesses in security may impact the market's growth.
Covid-19 Impact
High-performance computing and GPU-accelerated apps were in more demand due to the rapid uptake of digital transformation and remote work practices. GPU demands have increased for jobs like data analytics, content creation, and medical simulations in industries like research, healthcare, and entertainment. The pandemic brought attention to the crucial significance of strong data centre infrastructure and encouraged investments in GPU technology to meet changing processing demands, even though there were some supply chain disruptions worldwide and fluctuations in particular industries.
The cloud segment is expected to be the largest during the forecast period
The cloud segment is estimated to hold the largest share. Cloud providers leverage GPUs to enhance the performance of virtualized environments, catering to diverse workloads such as graphics rendering, artificial intelligence, and high-performance computing. This segment allows businesses to access GPU-accelerated resources on a scalable and on-demand basis, facilitating cost-effective and efficient processing of computationally intensive tasks. Moreover, it reflects the growing trend of offloading complex computational workloads to virtualized GPU resources, offering flexibility and scalability for a wide range of applications and industries.
The government segment is expected to have the highest CAGR during the forecast period
The government segment is anticipated to have lucrative growth during the forecast period. Governments leverage GPUs for applications such as scientific research, defence simulations, and data analytics. GPUs enable these entities to process vast amounts of data efficiently, supporting initiatives ranging from national security to public services. Furthermore, it underscores the critical role of GPUs in enhancing computational capabilities for tasks essential to governance, research, and strategic decision-making. The adoption of GPUs in government data centres reflects a commitment to leveraging advanced technologies for improved efficiency and performance in public sector operations.
Region with largest share:
Asia Pacific commanded the largest market share during the extrapolated period owing to a rise in e-commerce, technological infrastructure advancements, and growing data-driven initiatives. Countries like China, Japan, and India are at the forefront, investing heavily in GPU technology for scientific research, gaming, and cloud services. Furthermore, the rise of cloud computing services is significant in the Asia Pacific, with major cloud providers expanding their data center capabilities. The region's focus on industrial innovation and automation further drives the demand for GPUs in data centres.
Region with highest CAGR:
North America is expected to witness profitable growth over the projection period. The region is a key player in AI, machine learning, and high-performance computing applications, leading to a high demand for GPUs in data centres. Major tech hubs in the United States, including Silicon Valley, contribute to innovation, research, and development. The gaming industry's prominence fuels the demand for GPUs, while cloud computing providers continue to invest in GPU-centric infrastructure. With a strong focus on digital transformation, North America remains a significant influencer in shaping the global landscape of the data centre GPU market.
Key players in the market
Some of the key players in the Data Center Graphical Processing Unit (GPU) Market include Advanced Micro Devices Inc, Google Inc., Advantech Co. Ltd., IBM Corporation, Huawei Technologies Co. Ltd., Intel Corporation, Imagination Technologies, NVIDIA Corporation, Samsung Electronics Co.Ltd., Qualcomm Technologies, Inc., Micron Technology, Inc., Microsoft Corporation, Graphcore, Arm Limited, Gigabyte Technology Co. Ltd., Apple Inc., Zotac and Micro Devices Inc.
Key Developments:
In October 2023, Nvidia and Foxconn joined forces to create data center modules designed for AI-driven factories, utilizing Nvidia's Grace Hopper chips. Through the collaboration, Hon Hai Technology Group (Foxconn) aims to integrate Nvidia's technology to establish innovative data centres.
In October 2023, IBM introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today's data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio
In May 2023, IBM Announces Launch of IBM Hybrid Cloud Mesh to Help Enterprises Regain Control of their Multicloud Infrastructure. Driven by “Application-Centric Connectivity”, IBM Hybrid Cloud Mesh is engineered to automate the process, management and observability of application connectivity in and between public and private clouds to help modern enterprises operate their infrastructure across hybrid multicloud and heterogeneous environments.
Deployment Models Covered:
• Cloud
• On-premises
Functions Covered:
• Inference
• Training
End Users Covered:
• Enterprises
• Cloud Service Providers
• Government
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Data Center Graphical Processing Unit (GPU) Market, By Deployment Model
5.1 Introduction
5.2 Cloud
5.3 On-premises
6 Global Data Center Graphical Processing Unit (GPU) Market, By Function
6.1 Introduction
6.2 Inference
6.3 Training
7 Global Data Center Graphical Processing Unit (GPU) Market, By End User
7.1 Introduction
7.2 Enterprises
7.3 Cloud Service Providers
7.4 Government
8 Global Data Center Graphical Processing Unit (GPU) Market, By Geography
8.1 Introduction
8.2 North America
8.2.1 US
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 UK
8.3.3 Italy
8.3.4 France
8.3.5 Spain
8.3.6 Rest of Europe
8.4 Asia Pacific
8.4.1 Japan
8.4.2 China
8.4.3 India
8.4.4 Australia
8.4.5 New Zealand
8.4.6 South Korea
8.4.7 Rest of Asia Pacific
8.5 South America
8.5.1 Argentina
8.5.2 Brazil
8.5.3 Chile
8.5.4 Rest of South America
8.6 Middle East & Africa
8.6.1 Saudi Arabia
8.6.2 UAE
8.6.3 Qatar
8.6.4 South Africa
8.6.5 Rest of Middle East & Africa
9 Key Developments
9.1 Agreements, Partnerships, Collaborations and Joint Ventures
9.2 Acquisitions & Mergers
9.3 New Product Launch
9.4 Expansions
9.5 Other Key Strategies
10 Company Profiling
10.1 Advanced Micro Devices, Inc
10.2 Google Inc.
10.3 Advantech Co., Ltd.
10.4 IBM Corporation
10.5 Huawei Technologies Co., Ltd.
10.6 Intel Corporation
10.7 Imagination Technologies
10.8 NVIDIA Corporation
10.9 Samsung Electronics Co., Ltd.
10.10 Qualcomm Technologies, Inc.
10.11 Micron Technology, Inc.
10.12 Microsoft Corporation
10.13 Graphcore
10.14 Arm Limited
10.15 Gigabyte Technology Co. Ltd.
10.16 Apple Inc.
10.17 Zotac
10.18 Micro Devices Inc.
List of Tables
1 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Region (2021-2030) ($MN)
2 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2021-2030) ($MN)
3 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2021-2030) ($MN)
4 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2021-2030) ($MN)
5 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2021-2030) ($MN)
6 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2021-2030) ($MN)
7 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2021-2030) ($MN)
8 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2021-2030) ($MN)
9 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2021-2030) ($MN)
10 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2021-2030) ($MN)
11 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
12 Global Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2021-2030) ($MN)
13 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2021-2030) ($MN)
14 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2021-2030) ($MN)
15 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2021-2030) ($MN)
16 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2021-2030) ($MN)
17 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2021-2030) ($MN)
18 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2021-2030) ($MN)
19 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2021-2030) ($MN)
20 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2021-2030) ($MN)
21 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2021-2030) ($MN)
22 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2021-2030) ($MN)
23 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
24 North America Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2021-2030) ($MN)
25 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2021-2030) ($MN)
26 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2021-2030) ($MN)
27 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2021-2030) ($MN)
28 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2021-2030) ($MN)
29 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2021-2030) ($MN)
30 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2021-2030) ($MN)
31 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2021-2030) ($MN)
32 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2021-2030) ($MN)
33 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2021-2030) ($MN)
34 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2021-2030) ($MN)
35 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
36 Europe Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2021-2030) ($MN)
37 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2021-2030) ($MN)
38 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2021-2030) ($MN)
39 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2021-2030) ($MN)
40 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2021-2030) ($MN)
41 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2021-2030) ($MN)
42 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2021-2030) ($MN)
43 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2021-2030) ($MN)
44 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2021-2030) ($MN)
45 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2021-2030) ($MN)
46 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2021-2030) ($MN)
47 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
48 Asia Pacific Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2021-2030) ($MN)
49 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2021-2030) ($MN)
50 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2021-2030) ($MN)
51 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2021-2030) ($MN)
52 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2021-2030) ($MN)
53 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2021-2030) ($MN)
54 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2021-2030) ($MN)
55 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2021-2030) ($MN)
56 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2021-2030) ($MN)
57 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2021-2030) ($MN)
58 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2021-2030) ($MN)
59 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
60 South America Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2021-2030) ($MN)
61 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Country (2021-2030) ($MN)
62 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Deployment Model (2021-2030) ($MN)
63 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud (2021-2030) ($MN)
64 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By On-premises (2021-2030) ($MN)
65 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Function (2021-2030) ($MN)
66 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Introduction (2021-2030) ($MN)
67 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Inference (2021-2030) ($MN)
68 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Training (2021-2030) ($MN)
69 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By End User (2021-2030) ($MN)
70 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Enterprises (2021-2030) ($MN)
71 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Cloud Service Providers (2021-2030) ($MN)
72 Middle East & Africa Data Center Graphical Processing Unit (GPU) Market Outlook, By Government (2021-2030) ($MN)
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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