Global AI and Semiconductor - a Server GPU Market Size is valued at USD 21.4 Bn in 2024 and is predicted to reach USD 301.2 Bn by the year 2034 at a 30.4% CAGR during the forecast period for 2025-2034.
AI and semiconductor – a server GPU market is defined as manufacturing graphics processing units (GPUs) tailored to data centres and servers. The integration of artificial intelligence (AI) with semiconductors, namely in the realm of server GPUs (Graphics Processing Units), signifies a pivotal advancement in the progression of computer technology. Server GPUs are dedicated hardware specifically designed to enhance the speed of intricate calculations, such as those utilized in artificial intelligence (AI) and machine learning (ML) algorithms, within data centers and cloud environments.
Artificial intelligence, machine learning, data analytics, and scientific computing are some of the activities that these GPUs excel at performing in parallel. The market has grown substantially due to advancements in semiconductor technology driven by the increasing demand for AI capabilities across many sectors. These developments satisfy the needs of AI-powered apps and services. The proliferation of edge computing, which shifts data processing away from reliance on common cloud servers and into the location of data production, is driving up demand for artificial intelligence and semiconductor-a-server GPUs. Several factors, including the exponential expansion of AI and ML applications and the increasing prevalence of virtualization in corporate and data centre environments, drive the GPU server market.
However, the market growth is hindered by the high price of GPU systems, and smaller firms may be unable to participate in the AI and semiconductor server GPU industry. Another difficulty is the technical complexity and the quick rate of technological improvements, which necessitates specialist knowledge and regular upgrades. The global market has been hit hard by the COVID-19 pandemic, and there has been a domino effect on supply chains, consumer demand, and economic activity worldwide due to the COVID-19 epidemic. It created problems in several areas because it slowed product development, altered consumer behaviour, and interrupted manufacturing.
The AI and semiconductor - a server GPU market is segmented based on Facility Type, Configuration Type, Form Factor, End-Use By Facility Type, By Configuration Type, By Form Factor, By End-Use. By Facility Type, the market is divided into Data Centers, HPC Clusters, and Blockchain Mining Facilities. As per the Configuration Type, this market is categorised into Single GPU, Dual to Quad GPU, and High-Density GPU. According to Form Factor, the market is segmented into Blade Server and Rackmount Server. At last, the End-Use market comprises Cloud Computing and HPC Applications.
The cloud computing AI and semiconductor - a server GPU market is expected to hold a major global market share. Reasons for this expansion include the rising need for efficient data processing, the proliferation of cloud services, and the rising demand for high-performance computing in artificial intelligence applications. Furthermore, cloud computing offers dependable data backup and disaster recovery solutions, enhancing the continuity of business operations.
The dual to quad GPU industry markets are expected to witness a meteoric rise in sales of GPUs because more powerful computing is required to meet the growing demand. Data centres, cloud computing, and sophisticated research projects can all benefit from these GPUs, which enable more complicated AI and machine learning applications. The trend toward more graphics processing units (GPUs) per server improves parallel processing, which is perfect for jobs that demand intensive data processing and is fueling the segment's expansion.
The North American AI and semiconductor - a server GPU market is expected to record the highest market revenue share in the near future. It can be attributed to the area's established technological landscape, the abundance of top tech companies, rising investments in artificial intelligence, and a strong technological infrastructure in the region. The market expansion is also aided by strong infrastructure and substantial investments in research and development. In addition, Asia Pacific is anticipated to expand in the global AI and semiconductor - a server GPU market because of its booming tech sector, more spending on artificial intelligence and data centres, and more people using cloud services. The existence of rapidly expanding economies and the region's emphasis on innovation are also factors in this expansion.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 21.4 Bn |
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Revenue Forecast In 2034 |
USD 301.2 Bn |
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Growth Rate CAGR |
CAGR of 30.4% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Facility Type, By Configuration Type, By Form Factor, By End-Use |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
Nvidia Corporation, Advanced Micro, Intel Corporation, Qualcomm, Imagination, ASUSTeK Computer, INSPUR Co., Ltd., Huawei Technologies, GIGA-BYTE, Penguin Computing, Advantech Co., Ltd., Dell Inc, Fujitsu, Exxact Corporation And other market players |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI and Semiconductor - a Server GPU Market Snapshot
Chapter 4. Global AI and Semiconductor - a Server GPU Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Facility Type Estimates & Trend Analysis
5.1. by Facility Type & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Facility Type:
5.2.1. Data Center
5.2.2. HPC Clusters
5.2.3. Blockchain Mining Facility
Chapter 6. Market Segmentation 2: by Configuration Type Estimates & Trend Analysis
6.1. by Configuration Type & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Configuration Type:
6.2.1. Single GPU
6.2.2. Dual to Quad GPU
6.2.3. High-Density GPU
Chapter 7. Market Segmentation 3: by Form Factor Estimates & Trend Analysis
7.1. by Form Factor & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Form Factor:
7.2.1. Blade Server
7.2.2. Rackmount Server
Chapter 8. Market Segmentation 4: by End-Use Estimates & Trend Analysis
8.1. by End-Use & Market Share, 2024 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-Use:
8.2.1. Cloud Computing
8.2.2. HPC Application
Chapter 9. AI and Semiconductor - a Server GPU Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Facility Type, 2021-2034
9.1.2. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2021-2034
9.1.3. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2021-2034
9.1.4. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2021-2034
9.1.5. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.2. Europe
9.2.1. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Facility Type, 2021-2034
9.2.2. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2021-2034
9.2.3. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2021-2034
9.2.4. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2021-2034
9.2.5. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.3. Asia Pacific
9.3.1. Asia Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Facility Type, 2021-2034
9.3.2. Asia Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2021-2034
9.3.3. Asia-Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2021-2034
9.3.4. Asia-Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2021-2034
9.3.5. Asia Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.4. Latin America
9.4.1. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Facility Type, 2021-2034
9.4.2. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2021-2034
9.4.3. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2021-2034
9.4.4. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2021-2034
9.4.5. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.5. Middle East & Africa
9.5.1. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Facility Type, 2021-2034
9.5.2. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2021-2034
9.5.3. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2021-2034
9.5.4. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2021-2034
9.5.5. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Nvidia Corporation
10.2.2. Advanced Micro Devices, Inc
10.2.3. Intel Corporation
10.2.4. Qualcomm
10.2.5. Imagination Technologies Limited
10.2.6. ASUSTeK Computer
10.2.7. INSPUR Co., Ltd.
10.2.8. Huawei Technologies
10.2.9. GIGA-BYTE
10.2.10. Penguin Computing
10.2.11. Advantech Co., Ltd.
10.2.12. Dell Inc
10.2.13. Fujitsu
10.2.14. Exxact Corporation
10.2.15. Samsung Electronics Co. Ltd
10.2.16. Alibaba Cloud (China)
10.2.17. Vultr
10.2.18. Linode LLC.
10.2.19. Amazon Web Services, Inc.
10.2.20. Google
10.2.21. IBM Corporation
10.2.22. Other Prominent Players
10.2.23. Other Prominent Players
AI and Semiconductor - a Server GPU Market By Facility Type-
AI and Semiconductor - a Server GPU Market By Configuration Type-
AI and Semiconductor - a Server GPU Market By Form Factor
AI and Semiconductor - a Server GPU Market By End-Use-
AI and Semiconductor - a Server GPU Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
