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Market Research Report

Global Data Center GPU Market Insights, Size, and Forecast By Type (High-Performance Graphics Processing Units, General-Purpose Graphics Processing Units, Application-Specific Graphics Processing Units), By Form Factor (PCIe Form Factor, MXM Form Factor, Chip Form Factor), By End Use (Enterprise Data Centers, Colocation Data Centers, Cloud Service Providers), By Application (Cloud Computing, Artificial Intelligence, Machine Learning, Big Data Analytics, Graphics Rendering), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa), Key Companies, Competitive Analysis, Trends, and Projections for 2026-2035

Report ID:35923
Published Date:Jan 2026
No. of Pages:224
Base Year for Estimate:2025
Format:
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Key Market Insights

Global Data Center GPU Market is projected to grow from USD 105.4 Billion in 2025 to USD 775.8 Billion by 2035, reflecting a compound annual growth rate of 18.7% from 2026 through 2035. This robust expansion is fueled by the escalating demand for high performance computing across various industries, necessitating advanced processing capabilities within data centers. The market encompasses a wide array of GPU solutions designed for server environments, supporting applications from complex simulations to real time data analytics. Key drivers include the exponential growth of artificial intelligence and machine learning, requiring massive parallel processing power. Furthermore, the increasing adoption of cloud computing, edge computing, and big data analytics significantly contributes to market acceleration. Important trends shaping this landscape involve the development of specialized AI accelerators, the rise of heterogeneous computing architectures, and a growing emphasis on energy efficient GPU solutions to manage operational costs and environmental impact. However, market restraints include the high initial investment costs associated with deploying advanced GPU infrastructure and the complexities involved in integrating these powerful systems into existing data center architectures. Opportunities lie in the continued innovation of GPU technologies, expansion into emerging markets, and the development of more accessible and scalable GPU as a Service offerings.

Global Data Center GPU Market Value (USD Billion) Analysis, 2025-2035

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18.7%
CAGR from
2025 - 2035
Source:
www.makdatainsights.com

North America stands as the dominant region in the global data center GPU market, primarily due to the presence of major technology giants, extensive investments in advanced data center infrastructure, and a strong ecosystem for AI and cloud computing research and development. This region benefits from early adoption of cutting edge technologies and a high concentration of hyperscale data centers. Conversely, the Middle East and Africa is identified as the fastest growing region, driven by rapid digital transformation initiatives, increasing investments in regional data center development, and a growing demand for cloud services and AI applications across sectors like finance, telecommunications, and government. Governments in this region are actively promoting digital economies, fostering an environment conducive to technological adoption and infrastructure expansion. The leading segment within the market is Artificial Intelligence, commanding a substantial share as GPUs are fundamental to training complex neural networks and performing inferencing tasks at scale.

Key players in the Global Data Center GPU Market such as IBM, Supermicro, Alibaba, Broadcom, Huawei, Amazon, Intel, Dell, Google, and Oracle are actively pursuing various strategic initiatives to maintain and expand their market presence. These strategies include significant investments in research and development to introduce innovative GPU architectures and specialized AI accelerators, expanding their product portfolios to cater to diverse application requirements, and forging strategic partnerships and collaborations to enhance their technological capabilities and market reach. Furthermore, these companies are focusing on developing comprehensive software ecosystems and developer tools to simplify the deployment and management of GPU powered solutions. Acquisition of smaller, innovative technology firms is another common strategy to gain access to proprietary technologies and skilled talent. Emphasizing vertical integration and offering complete end to end solutions, from hardware to cloud services, is also a critical approach for many of these market leaders.

Quick Stats

  • Market Size (2025):

    USD 105.4 Billion

  • Projected Market Size (2035):

    USD 775.8 Billion

  • Leading Segment:

    Artificial Intelligence (62.5% Share)

  • Dominant Region (2025):

    North America (41.2% Share)

  • CAGR (2026-2035):

    18.7%

What is Data Center GPU?

A Data Center GPU is a specialized processor designed for high performance computing within large server infrastructures. Unlike consumer GPUs for gaming, these are optimized for parallel processing across thousands of cores, accelerating tasks like artificial intelligence training, scientific simulations, and big data analytics. Their robust architecture handles demanding, continuous workloads, offering superior computational power for complex mathematical operations. They are crucial for advancements in machine learning, cloud computing, and real time data processing, enabling modern AI models and scientific discoveries by efficiently processing massive datasets.

What are the Trends in Global Data Center GPU Market

  • AI Training Fuels Hyperscale GPU Adoption

  • Edge AI Drives Distributed GPU Deployment

  • Liquid Cooling Becomes Imperative for GPUs

  • Specialized AI Accelerators Reshape GPU Demand

  • Sustainable GPU Solutions Gain Traction

AI Training Fuels Hyperscale GPU Adoption

AI training, demanding immense computational power, is the primary driver behind the rapid expansion of hyperscale data centers. These colossal facilities increasingly require vast quantities of specialized GPUs. Machine learning models, particularly deep learning networks, are growing in complexity and data hungry, necessitating parallel processing capabilities that only GPUs can efficiently provide. This escalating demand for GPU accelerated compute is driving hyperscalers to invest heavily in thousands of these powerful processors per server rack. As AI adoption permeates more industries, the need for larger and more sophisticated models intensifies, directly translating into a continuous surge in hyperscale GPU deployments to power this relentless innovation and growth.

Edge AI Drives Distributed GPU Deployment

Edge AI’s proliferation fuels a shift in GPU deployment strategy. Instead of concentrating high performance GPUs solely in large data centers for traditional AI training, the need to process data closer to its source is paramount. This drives distributed GPU deployment, pushing inferencing and local model training capabilities to the edge. Think of it as a network of smaller, intelligent GPU clusters rather than one massive supercomputing hub. This decentralization reduces latency, conserves bandwidth by processing data locally, and enables real time decision making for applications like autonomous vehicles, smart factories, and augmented reality. These edge deployments still require substantial processing power, making specialized GPUs essential for their efficient operation and driving their wider distribution across various environments beyond centralized cloud facilities.

What are the Key Drivers Shaping the Global Data Center GPU Market

  • Surge in AI/ML Workload Adoption

  • Proliferation of Cloud Computing and Hyperscale Data Centers

  • Escalating Demand for High-Performance Computing (HPC)

  • Advancements in GPU Architecture and Interconnect Technologies

  • Growing Need for Energy-Efficient Data Processing

Surge in AI/ML Workload Adoption

The increasing complexity and scale of artificial intelligence and machine learning applications are a primary driver for the expansion of the global data center GPU market. AI and ML workloads demand immense computational power for tasks like training large language models, processing vast image datasets for computer vision, and executing intricate simulations for scientific discovery. General purpose CPUs struggle to meet these parallel processing requirements efficiently. GPUs, with their highly parallel architectures, are uniquely suited to accelerate these computationally intensive tasks, significantly reducing processing times and enabling the development of more sophisticated AI models. This fundamental need for specialized hardware to power the rapidly evolving AI/ML landscape directly fuels the demand for high performance GPUs within data centers worldwide. Organizations across various sectors are investing heavily in GPU equipped infrastructure to gain a competitive edge in AI driven innovation.

Proliferation of Cloud Computing and Hyperscale Data Centers

The widespread adoption of cloud computing services and the rapid expansion of hyperscale data centers are profoundly influencing the global data center GPU market. As businesses increasingly migrate their operations to the cloud they demand robust computing resources to handle complex workloads. These workloads ranging from artificial intelligence and machine learning to data analytics and scientific simulations are inherently parallelizable and computationally intensive. GPUs with their massive parallel processing capabilities are uniquely suited to accelerate these tasks delivering significant performance improvements over traditional CPUs. Consequently cloud providers and hyperscale operators are continuously investing in high performance GPUs to power their vast data centers and offer superior services. This escalating demand from large scale cloud infrastructure is a primary catalyst for the growth of the data center GPU market.

Escalating Demand for High-Performance Computing (HPC)

The escalating demand for high performance computing is a primary driver in the global data center GPU market. Industries like artificial intelligence machine learning scientific research and financial modeling are increasingly reliant on HPC for complex computations and massive data processing. Traditional CPUs struggle to handle these computationally intensive workloads efficiently. GPUs with their parallel processing capabilities are uniquely suited to accelerate these tasks delivering the necessary computational power and speed. This growing need for faster more powerful computing to process vast datasets and run intricate simulations across various sectors directly fuels the adoption of GPUs in data centers. Enterprises are investing heavily in GPU equipped infrastructure to gain competitive advantages and drive innovation.

Global Data Center GPU Market Restraints

Supply Chain Disruptions & Geopolitical Tensions Limiting GPU Availability

Persistent supply chain disruptions, a significant restraint in the global data center GPU market, have severely impacted the availability of these crucial components. Manufacturers face challenges in securing raw materials, specialized components, and even manufacturing capacity due to ongoing global logistical bottlenecks and labor shortages. Simultaneously, escalating geopolitical tensions, particularly trade disputes and regional conflicts, have further exacerbated this issue. These tensions lead to export restrictions, tariffs, and increased uncertainty in international trade routes, hindering the smooth flow of GPUs from production to end users. This combined pressure from supply chain instability and geopolitical volatility limits the overall supply of GPUs, making it difficult for data centers to acquire the hardware needed to meet growing demand for high performance computing and artificial intelligence workloads.

High Power Consumption & Cooling Requirements Increasing TCO for Data Centers

High power consumption and substantial cooling requirements are significant constraints in the global data center GPU market, driving up the Total Cost of Ownership (TCO). GPUs, especially high-performance models essential for AI and machine learning, demand considerable electricity, leading to higher operational expenses for data centers. Furthermore, the intense heat generated by these powerful processing units necessitates sophisticated and energy-intensive cooling systems. These cooling solutions, such as advanced HVAC and liquid cooling, add to both capital expenditure and ongoing operational costs. This increased TCO can deter some data center operators from large scale GPU deployments, particularly those with limited power infrastructure or budget constraints, slowing market expansion.

Global Data Center GPU Market Opportunities

Accelerating Generative AI and HPC with Advanced Data Center GPU Solutions

The opportunity in the global data center GPU market centers on fulfilling the exponential demand for specialized computing to power Generative AI and High Performance Computing workloads. As AI models like large language models proliferate and scientific simulations grow in complexity, advanced data center GPU solutions become critical infrastructure. This presents a vast market for hardware, software, and integrated platform providers offering scalable, energy efficient, and powerful GPU architectures.

Enterprises, cloud service providers, and research institutions worldwide require unparalleled computational capabilities to accelerate innovation, conduct intricate data analysis, and drive scientific breakthroughs. The focus is on delivering solutions that significantly reduce processing times for AI training, inference, and complex numerical calculations. This opportunity is amplified by a global push towards digital transformation, creating an urgent need for robust, high performance computing foundations to underpin the next generation of artificial intelligence and advanced research, enabling faster development cycles and groundbreaking discoveries across diverse sectors.

Expanding Data Center GPU Deployment in Edge AI and Hybrid Cloud Environments

Expanding data center GPU deployment in edge AI and hybrid cloud environments is a pivotal opportunity. As artificial intelligence workloads become more pervasive, processing requirements extend beyond centralized facilities. Edge AI demands powerful GPU acceleration closer to data sources, enabling real time inference and decision making for applications like autonomous systems and smart manufacturing, where latency is critical. Concurrently, hybrid cloud models necessitate scalable, integrated GPU resources that bridge on premises infrastructure with public cloud services. This allows organizations to strategically deploy AI model training and inference based on data governance, security needs, and computational efficiency. GPUs are essential for delivering high performance computing across these diverse distributed environments, optimizing resource utilization and data flow. This expansion supports innovation, enabling enterprises to harness AI's full potential by placing compute power precisely where it is most impactful and advantageous.

Global Data Center GPU Market Segmentation Analysis

Key Market Segments

By Application

  • •Cloud Computing
  • •Artificial Intelligence
  • •Machine Learning
  • •Big Data Analytics
  • •Graphics Rendering

By Type

  • •High-Performance Graphics Processing Units
  • •General-Purpose Graphics Processing Units
  • •Application-Specific Graphics Processing Units

By Form Factor

  • •PCIe Form Factor
  • •MXM Form Factor
  • •Chip Form Factor

By End Use

  • •Enterprise Data Centers
  • •Colocation Data Centers
  • •Cloud Service Providers

Segment Share By Application

Share, By Application, 2025 (%)

  • Artificial Intelligence
  • Cloud Computing
  • Machine Learning
  • Big Data Analytics
  • Graphics Rendering
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$105.4BGlobal Market Size, 2025
Source:
www.makdatainsights.com

Why is Artificial Intelligence dominating the Global Data Center GPU Market by application?

Artificial Intelligence, encompassing deep learning and machine learning, drives the paramount demand for data center GPUs due to its intensive computational requirements. Training complex AI models necessitates parallel processing on a scale that only specialized GPUs can efficiently deliver, making it the largest application segment. This dominance underscores the critical role GPUs play in advancing AI research and deployment across various industries.

How do High Performance Graphics Processing Units align with the market’s primary needs?

High Performance Graphics Processing Units are essential enablers for the leading application segments like Artificial Intelligence and Machine Learning. These advanced GPUs are engineered to handle the most demanding computational workloads, offering superior processing power, memory bandwidth, and core counts compared to other types. Their capability to accelerate parallel tasks is fundamental for complex data processing and model training within modern data centers.

Which end use segment demonstrates significant growth drivers for data center GPUs?

Cloud Service Providers are a significant growth driver for data center GPUs. These providers equip their vast infrastructure with GPUs to offer scalable compute resources for various applications, including AI as a service, machine learning platforms, and high performance computing. Their business model relies on providing on demand access to cutting edge hardware, making substantial investments in GPU technologies to meet evolving client demands.

What Regulatory and Policy Factors Shape the Global Data Center GPU Market

The global data center GPU market operates within an evolving regulatory landscape shaped by diverse national and international policies. Data sovereignty laws, particularly in Europe and Asia Pacific, mandate in country data processing, influencing data center locations and local GPU demand. Environmental regulations, including energy efficiency standards and carbon emission targets, increasingly pressure data centers to adopt more sustainable GPU technologies and cooling solutions. Trade policies and export controls, especially from the United States regarding high performance computing components, significantly impact global supply chains and market access for advanced GPUs, creating geopolitical complexities. Artificial intelligence specific regulations are emerging, focusing on data privacy, algorithmic transparency, and ethical AI deployment, directly affecting how GPUs are utilized for sensitive workloads. Furthermore, cybersecurity frameworks and data protection laws like GDPR and CCPA necessitate robust security measures in data centers, impacting GPU based processing environments. This intricate web of regulations drives innovation in power efficiency, security, and supply chain resilience.

What New Technologies are Shaping Global Data Center GPU Market?

The Global Data Center GPU Market thrives on relentless innovation driving its substantial expansion. Emerging technologies center on advanced chip architectures like chiplets and 3D stacking for increased density and performance. High Bandwidth Memory HBM advancements are crucial, providing the necessary data throughput for complex AI models. Interconnect breakthroughs such as NVLink and CXL Compute Express Link are redefining how GPUs communicate, minimizing latency and maximizing cluster efficiency.

Software innovation is equally vital, with optimized AI frameworks and orchestration tools accelerating development and deployment across massive GPU farms. Specialized accelerators designed for specific workloads are beginning to complement traditional GPUs, promising further computational gains. Furthermore, sustainable cooling solutions including direct to chip liquid cooling and immersion cooling are becoming indispensable, addressing the escalating power demands of next generation GPUs. Edge AI and hybrid cloud integration are also pivotal, extending GPU processing capabilities closer to data sources and across diverse environments. These innovations collectively fuel the market's robust growth.

Global Data Center GPU Market Regional Analysis

Global Data Center GPU Market

Trends, by Region

Largest Market
Fastest Growing Market
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41.2%

North America Market
Revenue Share, 2025

Source:
www.makdatainsights.com

Dominant Region

North America · 41.2% share

North America dominates the Global Data Center GPU Market with a substantial 41.2% share. This leadership is fueled by several key factors. The region boasts a highly developed digital infrastructure and a concentration of major cloud service providers and tech giants. These companies are heavily investing in artificial intelligence, machine learning, and high performance computing, all of which are significant drivers for data center GPU demand. Furthermore, a robust ecosystem of research institutions and startups continually innovate and adopt cutting edge GPU technologies. Stringent data privacy regulations and a skilled workforce further solidify North America's position as a critical hub for advanced computing and data center expansion, ensuring its continued prominence in the market.

Fastest Growing Region

Middle East and Africa · 28.5% CAGR

The Middle East and Africa region is poised for remarkable expansion in the Global Data Center GPU market, projected to achieve a Compound Annual Growth Rate of 28.5% during the 2026-2035 forecast period. This rapid growth is fueled by increasing investments in data center infrastructure across key economies. The digital transformation initiatives spearheaded by governments and enterprises are driving demand for high-performance computing capabilities, essential for artificial intelligence, machine learning, and advanced analytics. Furthermore, the rising adoption of cloud computing services and the emergence of hyperscale data centers contribute significantly to this accelerated trajectory. Countries are actively modernizing their IT landscapes, fostering an environment ripe for GPU adoption in data centers.

Top Countries Overview

The U.S. leads the global data center GPU market, driven by hyperscalers, AI startups, and cloud providers. Its advanced infrastructure, abundant capital, and skilled talent pool solidify its dominant position. Despite rising competition from Asia and Europe, the U.S. maintains a substantial share due to continuous innovation and heavy investment in cutting-edge GPU technologies and data center expansion.

China's massive domestic demand and government support fuel its growth in the global data center GPU market. Local companies like Huawei and Biren are innovating, while US export restrictions impact their access to advanced chips. Despite this, China remains a key player, driving competition and technological advancements, though facing challenges in high-end chip production and supply chain security.

India emerges as a pivotal hub in the global data center GPU market, driven by rapid digital transformation and increasing AI adoption across sectors. The country's burgeoning digital economy, coupled with supportive government policies and a growing talent pool, positions it as a key market for GPU infrastructure. This growth is attracting significant investments from hyperscalers and domestic players, underscoring India's strategic importance in the global AI compute landscape.

Impact of Geopolitical and Macroeconomic Factors

Geopolitically, the US China tech rivalry is a primary driver. Export controls on advanced GPUs by the US, like those targeting Nvidia and AMD, reshape market dynamics by compelling Chinese cloud providers and AI companies to develop indigenous alternatives or hoard existing stock. This creates a bifurcated market with distinct supply chains and technological standards. Furthermore, geopolitical tensions could disrupt global semiconductor manufacturing, particularly in Taiwan, leading to significant supply chain vulnerabilities and price volatility for data center GPUs worldwide. Regionalization of supply chains is a growing imperative.

Macroeconomically, the insatiable demand for generative AI and large language models is a major catalyst, fueling unprecedented capital expenditure by hyperscalers and enterprises on GPU accelerated infrastructure. Interest rate hikes, however, influence investment decisions and the availability of capital for data center expansion projects. High inflation increases operational costs, including energy and cooling, potentially impacting profit margins for data center operators. Currency fluctuations also affect the cost of importing GPUs and related equipment, especially for regions without domestic manufacturing capabilities.

Recent Developments

  • March 2025

    Intel launched its new 'Falcon Shores' data center GPU series, directly targeting AI training and HPC workloads. This series features significant improvements in interconnect bandwidth and energy efficiency, aiming to capture a larger share of the enterprise AI market currently dominated by rivals.

  • February 2025

    Amazon Web Services (AWS) announced a strategic partnership with Broadcom to co-develop custom AI accelerators for its cloud infrastructure. This collaboration aims to optimize silicon for AWS's specific generative AI and large language model (LLM) services, reducing reliance on third-party GPU vendors for certain workloads.

  • January 2025

    Google Cloud unveiled its next-generation 'Tensor Processing Unit (TPU) v6' designed for advanced machine learning tasks. This iteration focuses on increased scalability and lower latency for training massive AI models, offering enhanced performance competitive with leading GPU solutions in the cloud environment.

  • December 2024

    Supermicro acquired a stake in a specialized liquid cooling technology firm, signaling a strategic initiative to enhance its server offerings for high-density GPU deployments. This move aims to address the increasing thermal management challenges posed by powerful new-generation data center GPUs, offering more efficient and sustainable solutions.

  • November 2024

    Alibaba Cloud announced the successful deployment of its self-developed 'Hanguang 910 AI chip' across all its major data centers. This strategic initiative underscores Alibaba's commitment to vertical integration and reducing dependency on external suppliers for its burgeoning AI services, offering optimized performance for its proprietary algorithms.

Key Players Analysis

Intel and NVIDIA dominate the data center GPU market, providing crucial hardware for AI and HPC. Google, Amazon, and Microsoft (via Azure) are key cloud providers, developing custom AI chips like TPUs and Inferentia to optimize their infrastructure and reduce reliance on external vendors. IBM and Oracle also offer cloud solutions and are investing in their own AI hardware. Dell and HPE provide server solutions, integrating these GPUs for enterprise clients. Strategic initiatives include expanding cloud services, developing specialized AI accelerators, and forming partnerships to drive market growth for AI, machine learning, and high performance computing.

List of Key Companies:

  1. IBM
  2. Supermicro
  3. Alibaba
  4. Broadcom
  5. Huawei
  6. Amazon
  7. Intel
  8. Dell
  9. Google
  10. Oracle
  11. Lenovo
  12. Tencent
  13. NVIDIA
  14. Xilinx
  15. AMD
  16. Microsoft

Report Scope and Segmentation

Report ComponentDescription
Market Size (2025)USD 105.4 Billion
Forecast Value (2035)USD 775.8 Billion
CAGR (2026-2035)18.7%
Base Year2025
Historical Period2020-2025
Forecast Period2026-2035
Segments Covered
  • By Application:
    • •Cloud Computing
    • •Artificial Intelligence
    • •Machine Learning
    • •Big Data Analytics
    • •Graphics Rendering
  • By Type:
    • •High-Performance Graphics Processing Units
    • •General-Purpose Graphics Processing Units
    • •Application-Specific Graphics Processing Units
  • By Form Factor:
    • •PCIe Form Factor
    • •MXM Form Factor
    • •Chip Form Factor
  • By End Use:
    • •Enterprise Data Centers
    • •Colocation Data Centers
    • •Cloud Service Providers
Regional Analysis
  • North America
  • • United States
  • • Canada
  • Europe
  • • Germany
  • • France
  • • United Kingdom
  • • Spain
  • • Italy
  • • Russia
  • • Rest of Europe
  • Asia-Pacific
  • • China
  • • India
  • • Japan
  • • South Korea
  • • New Zealand
  • • Singapore
  • • Vietnam
  • • Indonesia
  • • Rest of Asia-Pacific
  • Latin America
  • • Brazil
  • • Mexico
  • • Rest of Latin America
  • Middle East and Africa
  • • South Africa
  • • Saudi Arabia
  • • UAE
  • • Rest of Middle East and Africa

Table of Contents:

1. Introduction
1.1. Objectives of Research
1.2. Market Definition
1.3. Market Scope
1.4. Research Methodology
2. Executive Summary
3. Market Dynamics
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Market Trends
4. Market Factor Analysis
4.1. Porter's Five Forces Model Analysis
4.1.1. Rivalry among Existing Competitors
4.1.2. Bargaining Power of Buyers
4.1.3. Bargaining Power of Suppliers
4.1.4. Threat of Substitute Products or Services
4.1.5. Threat of New Entrants
4.2. PESTEL Analysis
4.2.1. Political Factors
4.2.2. Economic & Social Factors
4.2.3. Technological Factors
4.2.4. Environmental Factors
4.2.5. Legal Factors
4.3. Supply and Value Chain Assessment
4.4. Regulatory and Policy Environment Review
4.5. Market Investment Attractiveness Index
4.6. Technological Innovation and Advancement Review
4.7. Impact of Geopolitical and Macroeconomic Factors
4.8. Trade Dynamics: Import-Export Assessment (Where Applicable)
5. Global Data Center GPU Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
5.1. Market Analysis, Insights and Forecast, 2020-2035, By Application
5.1.1. Cloud Computing
5.1.2. Artificial Intelligence
5.1.3. Machine Learning
5.1.4. Big Data Analytics
5.1.5. Graphics Rendering
5.2. Market Analysis, Insights and Forecast, 2020-2035, By Type
5.2.1. High-Performance Graphics Processing Units
5.2.2. General-Purpose Graphics Processing Units
5.2.3. Application-Specific Graphics Processing Units
5.3. Market Analysis, Insights and Forecast, 2020-2035, By Form Factor
5.3.1. PCIe Form Factor
5.3.2. MXM Form Factor
5.3.3. Chip Form Factor
5.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
5.4.1. Enterprise Data Centers
5.4.2. Colocation Data Centers
5.4.3. Cloud Service Providers
5.5. Market Analysis, Insights and Forecast, 2020-2035, By Region
5.5.1. North America
5.5.2. Europe
5.5.3. Asia-Pacific
5.5.4. Latin America
5.5.5. Middle East and Africa
6. North America Data Center GPU Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
6.1. Market Analysis, Insights and Forecast, 2020-2035, By Application
6.1.1. Cloud Computing
6.1.2. Artificial Intelligence
6.1.3. Machine Learning
6.1.4. Big Data Analytics
6.1.5. Graphics Rendering
6.2. Market Analysis, Insights and Forecast, 2020-2035, By Type
6.2.1. High-Performance Graphics Processing Units
6.2.2. General-Purpose Graphics Processing Units
6.2.3. Application-Specific Graphics Processing Units
6.3. Market Analysis, Insights and Forecast, 2020-2035, By Form Factor
6.3.1. PCIe Form Factor
6.3.2. MXM Form Factor
6.3.3. Chip Form Factor
6.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
6.4.1. Enterprise Data Centers
6.4.2. Colocation Data Centers
6.4.3. Cloud Service Providers
6.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
6.5.1. United States
6.5.2. Canada
7. Europe Data Center GPU Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
7.1. Market Analysis, Insights and Forecast, 2020-2035, By Application
7.1.1. Cloud Computing
7.1.2. Artificial Intelligence
7.1.3. Machine Learning
7.1.4. Big Data Analytics
7.1.5. Graphics Rendering
7.2. Market Analysis, Insights and Forecast, 2020-2035, By Type
7.2.1. High-Performance Graphics Processing Units
7.2.2. General-Purpose Graphics Processing Units
7.2.3. Application-Specific Graphics Processing Units
7.3. Market Analysis, Insights and Forecast, 2020-2035, By Form Factor
7.3.1. PCIe Form Factor
7.3.2. MXM Form Factor
7.3.3. Chip Form Factor
7.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
7.4.1. Enterprise Data Centers
7.4.2. Colocation Data Centers
7.4.3. Cloud Service Providers
7.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
7.5.1. Germany
7.5.2. France
7.5.3. United Kingdom
7.5.4. Spain
7.5.5. Italy
7.5.6. Russia
7.5.7. Rest of Europe
8. Asia-Pacific Data Center GPU Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
8.1. Market Analysis, Insights and Forecast, 2020-2035, By Application
8.1.1. Cloud Computing
8.1.2. Artificial Intelligence
8.1.3. Machine Learning
8.1.4. Big Data Analytics
8.1.5. Graphics Rendering
8.2. Market Analysis, Insights and Forecast, 2020-2035, By Type
8.2.1. High-Performance Graphics Processing Units
8.2.2. General-Purpose Graphics Processing Units
8.2.3. Application-Specific Graphics Processing Units
8.3. Market Analysis, Insights and Forecast, 2020-2035, By Form Factor
8.3.1. PCIe Form Factor
8.3.2. MXM Form Factor
8.3.3. Chip Form Factor
8.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
8.4.1. Enterprise Data Centers
8.4.2. Colocation Data Centers
8.4.3. Cloud Service Providers
8.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
8.5.1. China
8.5.2. India
8.5.3. Japan
8.5.4. South Korea
8.5.5. New Zealand
8.5.6. Singapore
8.5.7. Vietnam
8.5.8. Indonesia
8.5.9. Rest of Asia-Pacific
9. Latin America Data Center GPU Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
9.1. Market Analysis, Insights and Forecast, 2020-2035, By Application
9.1.1. Cloud Computing
9.1.2. Artificial Intelligence
9.1.3. Machine Learning
9.1.4. Big Data Analytics
9.1.5. Graphics Rendering
9.2. Market Analysis, Insights and Forecast, 2020-2035, By Type
9.2.1. High-Performance Graphics Processing Units
9.2.2. General-Purpose Graphics Processing Units
9.2.3. Application-Specific Graphics Processing Units
9.3. Market Analysis, Insights and Forecast, 2020-2035, By Form Factor
9.3.1. PCIe Form Factor
9.3.2. MXM Form Factor
9.3.3. Chip Form Factor
9.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
9.4.1. Enterprise Data Centers
9.4.2. Colocation Data Centers
9.4.3. Cloud Service Providers
9.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
9.5.1. Brazil
9.5.2. Mexico
9.5.3. Rest of Latin America
10. Middle East and Africa Data Center GPU Market Analysis, Insights 2020 to 2025 and Forecast 2026-2035
10.1. Market Analysis, Insights and Forecast, 2020-2035, By Application
10.1.1. Cloud Computing
10.1.2. Artificial Intelligence
10.1.3. Machine Learning
10.1.4. Big Data Analytics
10.1.5. Graphics Rendering
10.2. Market Analysis, Insights and Forecast, 2020-2035, By Type
10.2.1. High-Performance Graphics Processing Units
10.2.2. General-Purpose Graphics Processing Units
10.2.3. Application-Specific Graphics Processing Units
10.3. Market Analysis, Insights and Forecast, 2020-2035, By Form Factor
10.3.1. PCIe Form Factor
10.3.2. MXM Form Factor
10.3.3. Chip Form Factor
10.4. Market Analysis, Insights and Forecast, 2020-2035, By End Use
10.4.1. Enterprise Data Centers
10.4.2. Colocation Data Centers
10.4.3. Cloud Service Providers
10.5. Market Analysis, Insights and Forecast, 2020-2035, By Country
10.5.1. South Africa
10.5.2. Saudi Arabia
10.5.3. UAE
10.5.4. Rest of Middle East and Africa
11. Competitive Analysis and Company Profiles
11.1. Market Share of Key Players
11.1.1. Global Company Market Share
11.1.2. Regional/Sub-Regional Company Market Share
11.2. Company Profiles
11.2.1. IBM
11.2.1.1. Business Overview
11.2.1.2. Products Offering
11.2.1.3. Financial Insights (Based on Availability)
11.2.1.4. Company Market Share Analysis
11.2.1.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.1.6. Strategy
11.2.1.7. SWOT Analysis
11.2.2. Supermicro
11.2.2.1. Business Overview
11.2.2.2. Products Offering
11.2.2.3. Financial Insights (Based on Availability)
11.2.2.4. Company Market Share Analysis
11.2.2.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.2.6. Strategy
11.2.2.7. SWOT Analysis
11.2.3. Alibaba
11.2.3.1. Business Overview
11.2.3.2. Products Offering
11.2.3.3. Financial Insights (Based on Availability)
11.2.3.4. Company Market Share Analysis
11.2.3.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.3.6. Strategy
11.2.3.7. SWOT Analysis
11.2.4. Broadcom
11.2.4.1. Business Overview
11.2.4.2. Products Offering
11.2.4.3. Financial Insights (Based on Availability)
11.2.4.4. Company Market Share Analysis
11.2.4.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.4.6. Strategy
11.2.4.7. SWOT Analysis
11.2.5. Huawei
11.2.5.1. Business Overview
11.2.5.2. Products Offering
11.2.5.3. Financial Insights (Based on Availability)
11.2.5.4. Company Market Share Analysis
11.2.5.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.5.6. Strategy
11.2.5.7. SWOT Analysis
11.2.6. Amazon
11.2.6.1. Business Overview
11.2.6.2. Products Offering
11.2.6.3. Financial Insights (Based on Availability)
11.2.6.4. Company Market Share Analysis
11.2.6.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.6.6. Strategy
11.2.6.7. SWOT Analysis
11.2.7. Intel
11.2.7.1. Business Overview
11.2.7.2. Products Offering
11.2.7.3. Financial Insights (Based on Availability)
11.2.7.4. Company Market Share Analysis
11.2.7.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.7.6. Strategy
11.2.7.7. SWOT Analysis
11.2.8. Dell
11.2.8.1. Business Overview
11.2.8.2. Products Offering
11.2.8.3. Financial Insights (Based on Availability)
11.2.8.4. Company Market Share Analysis
11.2.8.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.8.6. Strategy
11.2.8.7. SWOT Analysis
11.2.9. Google
11.2.9.1. Business Overview
11.2.9.2. Products Offering
11.2.9.3. Financial Insights (Based on Availability)
11.2.9.4. Company Market Share Analysis
11.2.9.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.9.6. Strategy
11.2.9.7. SWOT Analysis
11.2.10. Oracle
11.2.10.1. Business Overview
11.2.10.2. Products Offering
11.2.10.3. Financial Insights (Based on Availability)
11.2.10.4. Company Market Share Analysis
11.2.10.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.10.6. Strategy
11.2.10.7. SWOT Analysis
11.2.11. Lenovo
11.2.11.1. Business Overview
11.2.11.2. Products Offering
11.2.11.3. Financial Insights (Based on Availability)
11.2.11.4. Company Market Share Analysis
11.2.11.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.11.6. Strategy
11.2.11.7. SWOT Analysis
11.2.12. Tencent
11.2.12.1. Business Overview
11.2.12.2. Products Offering
11.2.12.3. Financial Insights (Based on Availability)
11.2.12.4. Company Market Share Analysis
11.2.12.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.12.6. Strategy
11.2.12.7. SWOT Analysis
11.2.13. NVIDIA
11.2.13.1. Business Overview
11.2.13.2. Products Offering
11.2.13.3. Financial Insights (Based on Availability)
11.2.13.4. Company Market Share Analysis
11.2.13.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.13.6. Strategy
11.2.13.7. SWOT Analysis
11.2.14. Xilinx
11.2.14.1. Business Overview
11.2.14.2. Products Offering
11.2.14.3. Financial Insights (Based on Availability)
11.2.14.4. Company Market Share Analysis
11.2.14.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.14.6. Strategy
11.2.14.7. SWOT Analysis
11.2.15. AMD
11.2.15.1. Business Overview
11.2.15.2. Products Offering
11.2.15.3. Financial Insights (Based on Availability)
11.2.15.4. Company Market Share Analysis
11.2.15.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.15.6. Strategy
11.2.15.7. SWOT Analysis
11.2.16. Microsoft
11.2.16.1. Business Overview
11.2.16.2. Products Offering
11.2.16.3. Financial Insights (Based on Availability)
11.2.16.4. Company Market Share Analysis
11.2.16.5. Recent Developments (Product Launch, Mergers and Acquisition, etc.)
11.2.16.6. Strategy
11.2.16.7. SWOT Analysis

List of Figures

List of Tables

Table 1: Global Data Center GPU Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 2: Global Data Center GPU Market Revenue (USD billion) Forecast, by Type, 2020-2035

Table 3: Global Data Center GPU Market Revenue (USD billion) Forecast, by Form Factor, 2020-2035

Table 4: Global Data Center GPU Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 5: Global Data Center GPU Market Revenue (USD billion) Forecast, by Region, 2020-2035

Table 6: North America Data Center GPU Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 7: North America Data Center GPU Market Revenue (USD billion) Forecast, by Type, 2020-2035

Table 8: North America Data Center GPU Market Revenue (USD billion) Forecast, by Form Factor, 2020-2035

Table 9: North America Data Center GPU Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 10: North America Data Center GPU Market Revenue (USD billion) Forecast, by Country, 2020-2035

Table 11: Europe Data Center GPU Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 12: Europe Data Center GPU Market Revenue (USD billion) Forecast, by Type, 2020-2035

Table 13: Europe Data Center GPU Market Revenue (USD billion) Forecast, by Form Factor, 2020-2035

Table 14: Europe Data Center GPU Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 15: Europe Data Center GPU Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 16: Asia Pacific Data Center GPU Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 17: Asia Pacific Data Center GPU Market Revenue (USD billion) Forecast, by Type, 2020-2035

Table 18: Asia Pacific Data Center GPU Market Revenue (USD billion) Forecast, by Form Factor, 2020-2035

Table 19: Asia Pacific Data Center GPU Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 20: Asia Pacific Data Center GPU Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 21: Latin America Data Center GPU Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 22: Latin America Data Center GPU Market Revenue (USD billion) Forecast, by Type, 2020-2035

Table 23: Latin America Data Center GPU Market Revenue (USD billion) Forecast, by Form Factor, 2020-2035

Table 24: Latin America Data Center GPU Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 25: Latin America Data Center GPU Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

Table 26: Middle East & Africa Data Center GPU Market Revenue (USD billion) Forecast, by Application, 2020-2035

Table 27: Middle East & Africa Data Center GPU Market Revenue (USD billion) Forecast, by Type, 2020-2035

Table 28: Middle East & Africa Data Center GPU Market Revenue (USD billion) Forecast, by Form Factor, 2020-2035

Table 29: Middle East & Africa Data Center GPU Market Revenue (USD billion) Forecast, by End Use, 2020-2035

Table 30: Middle East & Africa Data Center GPU Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035

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