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    Data Center GPU Market

    ID: MRFR/SEM/27131-HCR
    100 Pages
    Aarti Dhapte
    October 2025

    Data Center GPU Market Research Report By Form Factor (Single-Slot GPUs, Dual-Slot GPUs, Multi-Slot GPUs), By GPU Architecture (Turing, Ampere, Hopper), By Application (Deep Learning Training, High-Performance Computing, Data Analytics), By Cooling Type (Air-Cooled, Liquid-Cooled) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035

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    Data Center GPU Market Infographic
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    Data Center GPU Market Summary

    As per MRFR analysis, the Data Center GPU Market Size was estimated at 13.6 USD Billion in 2024. The Data Center GPU industry is projected to grow from 14.5 USD Billion in 2025 to 27.47 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 6.6 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The Data Center GPU Market is poised for substantial growth driven by technological advancements and increasing demand for high-performance computing.

    • The market experiences increased adoption of AI and machine learning, enhancing computational capabilities.
    • Energy efficiency remains a focal point as organizations seek to optimize operational costs.
    • Cloud services continue to expand, driving demand for robust GPU solutions in data centers.
    • Rising demand for high-performance computing and advancements in GPU technology are key drivers of market growth.

    Market Size & Forecast

    2024 Market Size 13.6 (USD Billion)
    2035 Market Size 27.47 (USD Billion)
    CAGR (2025 - 2035) 6.6%

    Major Players

    NVIDIA (US), AMD (US), Intel (US), Google (US), Amazon (US), Microsoft (US), IBM (US), Oracle (US), Huawei (CN), Alibaba (CN)

    Data Center GPU Market Trends

    The Data Center GPU Market is currently experiencing a transformative phase, driven by the increasing demand for high-performance computing and advanced data processing capabilities. Organizations are increasingly recognizing the value of GPUs in enhancing computational efficiency, particularly in applications such as artificial intelligence, machine learning, and big data analytics. This shift towards GPU utilization is reshaping the landscape of data centers, as businesses seek to optimize their infrastructure to meet the growing needs of digital transformation. Furthermore, the rise of cloud computing services is propelling the adoption of GPUs, as service providers aim to deliver superior performance and scalability to their clients. In addition to performance enhancements, sustainability considerations are becoming more prominent within the Data Center GPU Market. Companies are exploring energy-efficient solutions to reduce their carbon footprint while maintaining high levels of performance. This trend is likely to influence the design and deployment of GPUs, as manufacturers strive to create products that align with environmental goals. Overall, the Data Center GPU Market appears poised for continued growth, with innovations in technology and a focus on sustainability shaping its future trajectory.

    Increased Adoption of AI and Machine Learning

    The Data Center GPU Market is witnessing a surge in the adoption of artificial intelligence and machine learning technologies. Organizations are leveraging GPUs to accelerate data processing and enhance analytical capabilities, which is driving demand for advanced GPU solutions.

    Focus on Energy Efficiency

    Sustainability is becoming a key consideration in the Data Center GPU Market. Companies are prioritizing energy-efficient GPUs to minimize environmental impact while ensuring optimal performance, reflecting a broader trend towards greener technology.

    Expansion of Cloud Services

    The growth of cloud computing is significantly influencing the Data Center GPU Market. As more businesses migrate to cloud platforms, the demand for powerful GPUs to support scalable and efficient cloud services is increasing.

    The increasing demand for high-performance computing in data centers is driving the adoption of GPUs, which are seen as pivotal in enhancing processing capabilities and energy efficiency.

    U.S. Department of Energy

    Data Center GPU Market Drivers

    Growth of Edge Computing

    The rise of edge computing is reshaping the Data Center GPU Market by necessitating the deployment of GPUs closer to data sources. This trend is driven by the need for real-time data processing and analytics, particularly in sectors such as IoT and autonomous vehicles. By 2025, the edge computing market is expected to reach 20 billion USD, with GPUs playing a pivotal role in processing data at the edge. This shift not only reduces latency but also alleviates bandwidth constraints associated with cloud computing. Consequently, data centers are increasingly integrating GPU capabilities to support edge computing initiatives, thereby expanding their service offerings and enhancing operational efficiency.

    Advancements in GPU Technology

    Technological advancements in GPU architecture are significantly influencing the Data Center GPU Market. Innovations such as increased core counts, improved memory bandwidth, and enhanced parallel processing capabilities are enabling GPUs to deliver superior performance. For instance, the introduction of new architectures has led to a performance increase of up to 30% in certain applications. These advancements not only improve processing speeds but also enhance energy efficiency, which is a critical consideration for data centers. As a result, organizations are more inclined to adopt cutting-edge GPU solutions, thereby propelling market growth and fostering a competitive environment among GPU manufacturers.

    Increased Focus on Data Security

    As cyber threats become more sophisticated, the Data Center GPU Market is witnessing an increased focus on data security. Organizations are investing in advanced security measures, including the use of GPUs for encryption and real-time threat detection. The ability of GPUs to process large volumes of data quickly allows for enhanced security protocols that can identify and mitigate threats in real-time. This trend is particularly relevant in sectors such as finance and healthcare, where data integrity is paramount. As a result, the demand for GPUs that can support these security initiatives is likely to grow, further driving the market.

    Emergence of Virtualization Technologies

    The emergence of virtualization technologies is significantly impacting the Data Center GPU Market. Virtualization allows multiple virtual machines to run on a single physical server, optimizing resource utilization and reducing costs. GPUs are increasingly being integrated into virtualization platforms to enhance graphics performance and computational power. This integration enables organizations to deploy GPU-accelerated applications across various virtual environments, thereby improving efficiency and scalability. As businesses continue to adopt virtualization strategies, the demand for GPUs that can support these technologies is expected to rise, contributing to the overall growth of the market.

    Rising Demand for High-Performance Computing

    The Data Center GPU Market experiences a notable surge in demand for high-performance computing (HPC) solutions. As organizations increasingly rely on data-intensive applications, the need for GPUs that can handle complex computations becomes paramount. In 2025, the market for HPC is projected to reach approximately 50 billion USD, with GPUs playing a critical role in this growth. The ability of GPUs to accelerate workloads in fields such as scientific research, financial modeling, and big data analytics is driving this trend. Consequently, data centers are investing heavily in GPU technology to enhance their computational capabilities, thereby positioning themselves competitively in an evolving digital landscape.

    Market Segment Insights

    By Form Factor: Dual-Slot GPUs (Largest) vs. Multi-Slot GPUs (Fastest-Growing)

    In the Data Center GPU Market, the distribution of market share is noticeably skewed towards Dual-Slot GPUs, which are recognized as the largest segment due to their balance of performance and power consumption. These GPUs are favored for their compatibility with a range of server infrastructures, allowing them to maintain a significant presence in data centers. Meanwhile, Multi-Slot GPUs are emerging rapidly, capitalizing on their ability to deliver superlative performance capabilities for intensive computations and large-scale AI workloads. The growth trends in this segment are being driven by a rising demand for high-performance computing and AI-based applications, which require advanced processing power. Multi-Slot GPUs are gaining traction as organizations seek to maximize performance efficiency, showcasing faster growth rates as they cater to niche markets that demand higher graphical and processing capabilities. The versatility of Multi-Slot solutions, coupled with the increasing need for scalability, positions them favorably for future market developments.

    Dual-Slot GPUs (Dominant) vs. Multi-Slot GPUs (Emerging)

    Dual-Slot GPUs serve as the dominant force within the Data Center GPU Market, providing a robust balance of performance, size, and thermal efficiency that makes them suitable for a wide array of applications. Their design allows for effective cooling and power management while delivering sufficient processing capabilities for general computing tasks. In contrast, Multi-Slot GPUs represent an emerging opportunity in the market, designed for demanding workloads like machine learning and data analytics. These GPUs can accommodate more powerful components and tend to excel in environments that require scalable performance, making them appealing to businesses looking to ensure future-proofing against the growing computational demands.

    By GPU Architecture: Ampere (Largest) vs. Hopper (Fastest-Growing)

    In the Data Center GPU Market, the distribution among architectures reveals Ampere as the leading technology, capturing a significant portion of the market. Turing continues to hold importance due to its established capabilities, while Hopper is emerging as the fastest-growing architecture, appealing to businesses seeking advanced processing power and efficiency. The competition among these architectures is intensifying, with each offering distinct advantages for various data center applications. The growth of the GPU architecture segment is driven by a surge in demand for high-performance computing, particularly in AI and machine learning workloads. Ampere's popularity stems from its robust performance and energy efficiency, while Hopper is gaining traction for its innovative features designed for next-gen applications. As data centers evolve, these architectures are expected to play increasingly vital roles in shaping the computational landscape.

    Ampere (Dominant) vs. Hopper (Emerging)

    Ampere architecture is currently the dominant force in the Data Center GPU Market, characterized by its impressive performance metrics and exceptional energy efficiency. It empowers data centers to handle intensive workloads with ease and has earned widespread adoption across various sectors. Conversely, Hopper represents an emerging architecture, focusing on cutting-edge technology tailored for modern applications. Its design emphasizes scalability and optimization for AI and data analytics, capturing the attention of forward-thinking organizations that seek to leverage innovative solutions. The contrast between the well-established Ampere and the rapidly rising Hopper illustrates a dynamic market, where adaptability and technological advancements are key to maintaining competitive advantage.

    By Application: Deep Learning Training (Largest) vs. High-Performance Computing (Fastest-Growing)

    The Data Center GPU Market exhibits diverse applications, with Deep Learning Training capturing the largest market share due to its extensive use in AI model development and training. High-Performance Computing follows closely, leveraging GPU capabilities for complex simulations and calculations. Data Analytics also plays a crucial role but lags behind the other two in terms of share, focusing primarily on business intelligence and data-driven decision-making. The growth trends in this segment are largely driven by advancements in AI and machine learning, particularly in Deep Learning Training, which is essential for developing sophisticated algorithms. Meanwhile, High-Performance Computing is expanding rapidly because of the increasing demand in scientific research and large-scale data processing, marking it as the fastest-growing area within the Data Center GPU applications. Emerging technologies and the need for faster processing capabilities further boost these segments' growth potential.

    Deep Learning Training: Dominant vs. High-Performance Computing: Emerging

    Deep Learning Training remains the dominant application in the Data Center GPU Market, primarily due to its critical role in AI development. Organizations are increasingly adopting GPUs to accelerate deep learning workloads, enabling faster model training and improved accuracy. In contrast, High-Performance Computing is gaining recognition as an emerging segment, rapidly becoming a vital asset for industries requiring intense computational resources. This application harnesses GPUs for executing complex simulations, data modeling, and large-scale calculations. Both segments highlight the increasing reliance on advanced computing technologies, positioning them as crucial drivers of growth within the market.

    By Cooling Type: Air-Cooled (Largest) vs. Liquid-Cooled (Fastest-Growing)

    In the Data Center GPU Market, the cooling type segment is primarily dominated by air-cooled solutions. These systems are widely adopted due to their cost-effectiveness and ease of implementation. Air cooling accounts for a significant portion of the market share, appealing to operators who prioritize traditional methods of cooling technology. Conversely, liquid-cooled solutions are emerging swiftly, garnering attention for their superior cooling efficiency and effectiveness in high-density GPU environments, thus capturing the interest of modern data centers looking for enhanced thermal management.

    Cooling Solutions: Air-Cooled (Dominant) vs. Liquid-Cooled (Emerging)

    Air-cooled systems are revered for their reliability and simplicity. They utilize air as a coolant and are typically less expensive to install and maintain, making them a go-to choice for many data center operators. However, as the demand for greater performance and efficiency increases, liquid-cooled solutions are rapidly gaining traction. These systems utilize liquid coolant to transfer heat away from GPUs more effectively, providing superior thermal management. With advancements in technology and growing concerns over energy efficiency, liquid cooling systems are becoming more prevalent in high-performance data centers, indicating a shift towards innovative cooling solutions.

    Get more detailed insights about Data Center GPU Market

    Regional Insights

    North America : Innovation and Leadership Hub

    North America leads the Data Center GPU market, holding approximately 45% of the global share, driven by rapid technological advancements and increasing demand for AI and machine learning applications. The region benefits from a robust infrastructure, significant investments in data centers, and favorable regulatory frameworks that encourage innovation and competition. The U.S. government’s initiatives to enhance digital infrastructure further catalyze market growth. The United States is the largest market, with key players like NVIDIA, AMD, and Intel dominating the landscape. The competitive environment is characterized by continuous innovation and strategic partnerships among tech giants. Companies such as Google, Amazon, and Microsoft are also significant contributors, leveraging GPUs for cloud computing and AI services, thereby enhancing their market positions.

    Europe : Emerging Market with Potential

    Europe is witnessing a surge in the Data Center GPU market, accounting for around 30% of the global share. This growth is fueled by increasing digital transformation initiatives, the rise of cloud services, and stringent regulations promoting energy efficiency and sustainability. The European Union's Green Deal and Digital Strategy are pivotal in shaping the market landscape, encouraging investments in advanced data center technologies and infrastructure. Leading countries such as Germany, the UK, and France are at the forefront of this growth, with a competitive landscape featuring both established players and emerging startups. Companies like IBM and Oracle are enhancing their offerings, while local firms are innovating to meet regional demands. The presence of major tech hubs in cities like Berlin and London further stimulates competition and collaboration in the market.

    Asia-Pacific : Rapid Growth and Adoption

    Asia-Pacific is rapidly emerging as a significant player in the Data Center GPU market, holding approximately 20% of the global share. The region's growth is driven by increasing internet penetration, the rise of e-commerce, and substantial investments in cloud infrastructure. Countries like China and India are leading this trend, supported by government initiatives aimed at enhancing digital capabilities and fostering innovation in technology sectors. China, with major players like Huawei and Alibaba, is at the forefront of this expansion, focusing on AI and big data applications. India is also witnessing a boom in data center investments, with companies like Intel and AMD establishing a strong presence. The competitive landscape is characterized by a mix of local and international firms, all vying for market share in this dynamic environment.

    Middle East and Africa : Emerging Power with Challenges

    The Middle East and Africa region is gradually developing its Data Center GPU market, currently holding about 5% of the global share. The growth is primarily driven by increasing demand for cloud services and digital transformation across various sectors. However, challenges such as inadequate infrastructure and regulatory hurdles hinder faster adoption. Governments are recognizing the need for improved digital infrastructure, leading to initiatives aimed at enhancing connectivity and data center capabilities. Countries like the UAE and South Africa are leading the charge, with significant investments in data center projects. The competitive landscape is evolving, with both local and international players entering the market. Companies are focusing on building robust data center facilities to cater to the growing demand for cloud and AI services, positioning themselves for future growth in this emerging market.

    Key Players and Competitive Insights

    The Data Center GPU Market is currently characterized by intense competition and rapid technological advancements, driven by the increasing demand for high-performance computing and AI applications. Major players such as NVIDIA (US), AMD (US), and Intel (US) are at the forefront, each adopting distinct strategies to enhance their market positioning. NVIDIA (US) continues to lead in innovation, focusing on AI and machine learning capabilities, while AMD (US) emphasizes cost-effective solutions and performance optimization. Intel (US), on the other hand, is investing heavily in research and development to regain its competitive edge in the GPU segment. Collectively, these strategies contribute to a dynamic competitive environment, where innovation and performance are paramount.

    Key business tactics within the Data Center GPU Market include localizing manufacturing and optimizing supply chains to enhance efficiency and reduce costs. The market structure appears moderately fragmented, with several key players exerting substantial influence. This fragmentation allows for a variety of offerings, catering to diverse customer needs, while also fostering competition that drives technological advancements and price adjustments.

    In September 2025, NVIDIA (US) announced the launch of its latest GPU architecture, designed specifically for data centers, which promises to deliver unprecedented performance for AI workloads. This strategic move not only reinforces NVIDIA's leadership in the market but also highlights its commitment to addressing the growing demands of AI-driven applications. The introduction of this architecture is likely to set new benchmarks for performance and efficiency, further solidifying NVIDIA's competitive advantage.

    In August 2025, AMD (US) unveiled its new line of GPUs aimed at enhancing cloud gaming and virtual reality experiences. This initiative reflects AMD's strategic focus on expanding its footprint in the gaming and entertainment sectors, which are increasingly reliant on robust GPU capabilities. By targeting these high-growth areas, AMD positions itself to capture a larger share of the market, potentially challenging NVIDIA's dominance in specific segments.

    In July 2025, Intel (US) revealed its partnership with a leading cloud service provider to integrate its latest GPU technology into their data centers. This collaboration is indicative of Intel's strategy to leverage partnerships to enhance its market presence and drive adoption of its GPU solutions. By aligning with established cloud providers, Intel aims to accelerate the deployment of its technologies, thereby increasing its competitiveness in the rapidly evolving data center landscape.

    As of October 2025, current trends in the Data Center GPU Market are heavily influenced by digitalization, sustainability initiatives, and the integration of AI technologies. Strategic alliances among key players are shaping the competitive landscape, fostering innovation and collaboration. Looking ahead, it appears that competitive differentiation will increasingly hinge on technological advancements and supply chain reliability, rather than solely on price. This shift suggests a future where companies that prioritize innovation and sustainable practices will likely emerge as leaders in the Data Center GPU Market.

    Key Companies in the Data Center GPU Market market include

    Industry Developments

    • Q2 2024: NVIDIA launches Blackwell GPU architecture for data centers NVIDIA unveiled its new Blackwell GPU architecture, designed specifically for AI and data center workloads, marking a significant leap in performance and efficiency for hyperscale and enterprise data centers.
    • Q2 2024: NVIDIA Announces Major Data Center GPU Supply Agreement with Microsoft Azure NVIDIA secured a multi-year supply agreement with Microsoft Azure to provide its latest data center GPUs, supporting Azure's expansion of AI and cloud computing services.
    • Q2 2024: AMD Launches MI300 Series Data Center GPUs AMD officially launched its MI300 series GPUs, targeting high-performance computing and AI workloads in data centers, and announced initial shipments to major cloud providers.
    • Q3 2024: Meta signs multi-billion dollar deal for NVIDIA and AMD data center GPUs Meta Platforms entered into a multi-year, multi-billion dollar agreement to purchase data center GPUs from both NVIDIA and AMD to power its AI infrastructure and LLM training clusters.
    • Q3 2024: Oracle opens new AI-focused data center in Texas with NVIDIA GPU clusters Oracle inaugurated a new data center facility in Texas, equipped with thousands of NVIDIA GPUs, to expand its AI cloud services and meet growing enterprise demand.
    • Q4 2024: Amazon Web Services expands Graviton and GPU-based EC2 instances AWS announced the expansion of its EC2 instance portfolio with new GPU-powered options, leveraging the latest NVIDIA and AMD data center GPUs for AI and machine learning workloads.
    • Q4 2024: Tencent Cloud partners with AMD for next-generation data center GPU deployment Tencent Cloud announced a strategic partnership with AMD to deploy the latest MI350 data center GPUs across its cloud infrastructure, aiming to boost AI and HPC capabilities.
    • Q1 2025: NVIDIA secures $1.2 billion data center GPU contract with Saudi Aramco NVIDIA signed a $1.2 billion contract to supply data center GPUs to Saudi Aramco, supporting the energy giant's AI-driven digital transformation initiatives.
    • Q1 2025: AI chip startup Tenstorrent raises $300M to scale data center GPU production Tenstorrent, a startup developing data center GPUs for AI workloads, closed a $300 million funding round led by Fidelity and Samsung Catalyst Fund to expand manufacturing and R&D.
    • Q2 2025: Google Cloud unveils new AI supercomputer powered by custom data center GPUs Google Cloud launched a new AI supercomputer featuring custom-designed data center GPUs, aiming to accelerate generative AI and large language model training for enterprise clients.
    • Q2 2025: Microsoft opens European data center with advanced GPU clusters for AI Microsoft opened a new European data center equipped with advanced GPU clusters from NVIDIA and AMD, expanding its AI and cloud computing capacity in the region.
    • Q2 2025: Samsung Foundry wins major contract to manufacture next-gen data center GPUs Samsung Foundry secured a significant contract to manufacture next-generation data center GPUs for a leading U.S. chipmaker, marking a strategic expansion in the AI hardware supply chain.

    Future Outlook

    Data Center GPU Market Future Outlook

    The Data Center GPU Market is projected to grow at a 6.6% CAGR from 2024 to 2035, driven by increasing demand for AI, cloud computing, and data analytics.

    New opportunities lie in:

    • Development of energy-efficient GPU architectures for sustainability initiatives.
    • Expansion into edge computing solutions to enhance processing capabilities.
    • Partnerships with cloud service providers for integrated GPU offerings.

    By 2035, the market is expected to solidify its position as a cornerstone of advanced computing solutions.

    Market Segmentation

    Data Center GPU Market Application Outlook

    • Deep Learning Training
    • High-Performance Computing
    • Data Analytics

    Data Center GPU Market Form Factor Outlook

    • Single-Slot GPUs
    • Dual-Slot GPUs
    • Multi-Slot GPUs

    Data Center GPU Market Cooling Type Outlook

    • Air-Cooled
    • Liquid-Cooled

    Data Center GPU Market GPU Architecture Outlook

    • Turing
    • Ampere
    • Hopper

    Report Scope

    MARKET SIZE 202413.6(USD Billion)
    MARKET SIZE 202514.5(USD Billion)
    MARKET SIZE 203527.47(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)6.6% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMarket analysis in progress
    Segments CoveredMarket segmentation analysis in progress
    Key Market OpportunitiesIntegration of artificial intelligence and machine learning in Data Center GPU Market applications.
    Key Market DynamicsRising demand for artificial intelligence applications drives competition and innovation in the Data Center GPU Market.
    Countries CoveredNorth America, Europe, APAC, South America, MEA

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    FAQs

    What is the current valuation of the Data Center GPU Market as of 2024?

    The Data Center GPU Market was valued at 13.6 USD Billion in 2024.

    What is the projected market valuation for the Data Center GPU Market in 2035?

    The market is projected to reach a valuation of 27.47 USD Billion by 2035.

    What is the expected CAGR for the Data Center GPU Market during the forecast period 2025 - 2035?

    The expected CAGR for the Data Center GPU Market during 2025 - 2035 is 6.6%.

    Which companies are considered key players in the Data Center GPU Market?

    Key players in the market include NVIDIA, AMD, Intel, Google, Amazon, Microsoft, IBM, Oracle, Huawei, and Alibaba.

    What are the different form factors available in the Data Center GPU Market?

    The market includes Single-Slot GPUs, Dual-Slot GPUs, and Multi-Slot GPUs, with valuations ranging from 3.5 to 10.47 USD Billion.

    How does the GPU architecture segment perform in the Data Center GPU Market?

    The GPU architecture segment includes Turing, Ampere, and Hopper, with valuations between 4.08 and 10.5 USD Billion.

    What applications drive demand in the Data Center GPU Market?

    Key applications include Deep Learning Training, High-Performance Computing, and Data Analytics, with valuations from 4.1 to 10.5 USD Billion.

    What cooling types are utilized in the Data Center GPU Market?

    The market features Air-Cooled and Liquid-Cooled systems, with valuations ranging from 5.44 to 16.5 USD Billion.

    How does the performance of Dual-Slot GPUs compare to other form factors?

    Dual-Slot GPUs are valued at 10.0 USD Billion, indicating strong performance compared to Single-Slot and Multi-Slot GPUs.

    What trends are anticipated in the Data Center GPU Market leading up to 2035?

    Trends suggest continued growth in GPU architecture and application segments, potentially driving the market towards its projected valuation.

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