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AI and Semiconductor - a Server GPU Market

AI and Semiconductor - a Server GPU Market Size, Share & Trends Analysis Report By Facility Type (Data Center, HPC Clusters, Blockchain Mining Facility), By Configuration Type (Single GPU, Dual to Quad GPU, High-Density GPU), By Form Factor (Blade Server, Rackmount Server), By End-Use (Cloud Computing, HPC Application), By Region, And By Segment Forecasts, 2024-2031

Report ID : 2412 | Published : 2024-03-25 | Pages: 179 | Format: PDF/EXCEL

AI and Semiconductor - a Server GPU Market Size is valued at USD 16.6 Bn in 2023 and is predicted to reach USD 134.9 Bn by the year 2031 at a 30.2% CAGR during the forecast period for 2024-2031.

AI and Semiconductor - a Server GPU Market info

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.

Competitive Landscape

Some Major Key Players In The AI and Semiconductor - a Server GPU Market:

  • Nvidia Corporation
  • Advanced Micro Devices, Inc
  • Intel Corporation
  • Qualcomm
  • Imagination Technologies Limited
  • ASUSTeK Computer
  • INSPUR Co., Ltd.
  • Huawei Technologies
  • GIGA-BYTE
  • Penguin Computing
  • Advantech Co., Ltd.
  • Dell Inc
  • Fujitsu
  • Exxact Corporation
  • Samsung Electronics Co. Ltd
  • Alibaba Cloud (China)
  • Vultr
  • Linode LLC.
  • Amazon Web Services, Inc.
  • Google
  • IBM Corporation
  • Other Prominent Players

Market Segmentation:

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.

Based On The End-Use, The Cloud Computing Segment Is Accounted As A Major Contributor To The AI And Semiconductor - A Server GPU Market. 

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.

Dual To Quad GPU Segment To Witness Growth At A Rapid Rate.

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.

In The Region, The North American AI And Semiconductor - A Server GPU Market Holds A Significant Revenue Share.

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.

Recent Developments:

  • In February 2024, ServiceNow, the industry-leading digital workflow provider, and NVIDIA, the market leader in artificial intelligence solutions for telecommunications companies, announced a new relationship that will see the development of generative AI solutions tailored to the needs of telecommunications companies to improve customer service.
  • In February 2024, Qualcomm Technologies unveiled its seventh-generation 5G modem-to-antenna solution, the Snapdragon® X80 5G Modem-RF System, demonstrating its commitment to innovation. Snapdragon X80 achieves several world firsts with its integrated 5G AI Processor and 5G-Advanced architecture. These include the first 5G modem with fully integrated NB-NTN satellite communications support, a 6-antenna smartphone architecture, 6X carrier aggregation, and an extension of the mm Wave range for fixed wireless access customer premise equipment (CPE) based on artificial intelligence.

AI and Semiconductor - a Server GPU Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 16.6 Bn

Revenue Forecast In 2031

USD 134.9 Bn

Growth Rate CAGR

CAGR of 30.2 % from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Facility Type, By Configuration Type, By Form Factor, By End-Use

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

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

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

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, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2023-2031

9.1.2. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2023-2031

9.1.3. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2023-2031

9.1.4. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2023-2031

9.1.5. North America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

9.2. Europe

9.2.1. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Facility Type, 2023-2031

9.2.2. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2023-2031

9.2.3. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2023-2031

9.2.4. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2023-2031

9.2.5. Europe AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

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, 2023-2031

9.3.2. Asia Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2023-2031

9.3.3. Asia-Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2023-2031

9.3.4. Asia-Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2023-2031

9.3.5. Asia Pacific AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

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, 2023-2031

9.4.2. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2023-2031

9.4.3. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2023-2031

9.4.4. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2023-2031

9.4.5. Latin America AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

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, 2023-2031

9.5.2. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Configuration Type, 2023-2031

9.5.3. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by Form Factor, 2023-2031

9.5.4. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by End-Use, 2023-2031

9.5.5. Middle East & Africa AI and Semiconductor - a Server GPU Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

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

Segmentation of AI and Semiconductor - a Server GPU Market-

AI and Semiconductor - a Server GPU Market By Facility Type-

  • Data Center
  • HPC Clusters
  • Blockchain Mining Facility

AI and Semiconductor - a Server GPU Market seg

AI and Semiconductor - a Server GPU Market By Configuration Type-

  • Single GPU
  • Dual to Quad GPU
  • High-Density GPU

AI and Semiconductor - a Server GPU Market By Form Factor

  • Blade Server
  • Rackmount Server

AI and Semiconductor - a Server GPU Market By End-Use-

  • Cloud Computing
  • HPC Application

AI and Semiconductor - a Server GPU Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and 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:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

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: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

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.

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Frequently Asked Questions

How big is the AI and Semiconductor - a Server GPU Market Size?

AI and Semiconductor - a Server GPU Market is expected to grow at a 30.2% CAGR during the forecast period for 2024-2031.

ASUSTeK Computer, INSPUR Co., Ltd., Huawei Technologies, GIGA-BYTE, Penguin Computing, Advantech Co., Ltd., Dell Inc, Fujitsu, Exxact Corporation And

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