The Report Covers Global Gaming GPU Market Growth & Analysis. The Market is Segmented by Type (Dedicated Graphic Cards, Integrated Graphics Solutions), Device (Mobile Devices, PCs & Workstations, Gaming Consoles, Automotive), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa). The market size and forecasts are provided in terms of value (in USD million) for all the above segments.

Graphics Processing Unit (GPU) Market Analysis

The Graphics Processing Unit (GPU) Market is experiencing signific...

The global GPU Database market size was valued at USD 552.1 million in 2022 and is projected to reach USD 5,152.6 million by 2029, exhibiting a CAGR of 21.7% during the forecast period. The growth of the market is attributed to the rising demand for real-time data analytics, the increasing adoption of artificial intelligence and machine learning, and the growing need for high-performance computing solutions. North America is expected to dominate the GPU Database market throughout the forecast period. The region is home to a large number of technology companies and is an early adopter of new technologies. The Asia Pacific region is expected to experience the fastest growth during the forecast period. The region is witnessing a rapid increase in the adoption of artificial intelligence and machine learning technologies. Major players in the market include NVIDIA Corporation, AMD, Intel, and IBM. These companies are investing heavily in research and development to develop new and innovative GPU Database solutions. Recent developments include: In March 2024, NVIDIA partnered with Google Cloud to offer GPU-accelerated databases and analytics on the Google Cloud Platform. By combining NVIDIA's GPU technology with Google Cloud's infrastructure, the partnership aims to enhance data processing and analysis capabilities for developers and enterprises. This partnership is expected to accelerate AI development, drive innovation, and position both companies as leaders in the market. , In March 2023, NVIDIA partnered with Microsoft Azure to bring GPU-accelerated databases and analytics to Azure. This partnership harnesses NVIDIA's GPU technology to enhance Azure's capabilities, enabling efficient handling of complex data workloads and boosting AI development. By integrating NVIDIA's AI Enterprise software with Azure Machine Learning, the partnership provides a robust platform for enterprises to build and manage AI applications. This strategic move solidifies NVIDIA and Microsoft's positions as leaders in the market. .

In 2024, the global graphics processing unit (GPU) market was valued at 65.3 billion U.S. dollars, with forecasts suggesting that by 2029 this is likely to rise to 274.2 billion U.S. dollars, growing at a compound annual growth rate (CAGR) of 33.2 percent from 2024 to 2029.

As of the fourth quarter of 2023, Intel was the biggest vendor in the PC GPU market worldwide, occupying 67 percent of the market. AMD occupied 15 percent of the market, while Nvidia took a market share of 18 percent.

PC GPUs

Graphics processing units (GPUs) are specialized processors optimized for rendering all images on a computer. They are made available to consumers either as integrated or discrete components. Integrated graphics, where Intel dominates, refers to a computer where the GPU is built onto the same die as the central processing unit (CPU). In a discrete component, the GPU is not part of the CPU, but instead a standalone component. They can also be referred to as a graphics add-in-board (AIB), with Nvidia and AMD having the majority of the control of this market.

GPUs for gaming

A GPU provides the fastest graphics processing, and for gamers, the GPU is a standalone card plugged into the computer via a peripheral component interconnect express (PCIe). The more sophisticated the GPU, the higher the resolution, and the faster and smoother the motion. Improved framerates, or the number of frames per second the game runs at, means there is less stutter or freezing due to excessive load on the CPU, enhancing the gaming experience. In smartphones, GPUs feature as part of a system-on-a-chip (SoC) and are also capable of rendering graphics in games, allowing developers to make better looking and more complex games for these devices too.

This dataset contains the latest prices and historical lowest prices for various GPU models from Nvidia, AMD, and Intel as of 2024. Sourced from Tom's Hardware, this data is useful for analyzing price trends and studying the cost dynamics of computer hardware.

Graphic Processing Unit (GPU) Market size was valued at USD 77.39 Billion in 2024 and is projected to reach USD 638.61 Billion by 2031, growing at a CAGR of 33.30% from 2024 to 2031.

Key Market Drivers: Gaming: The demand for high-performance GPUs for gaming is a major driver, fueled by the increasing popularity of high-resolution gaming, esports, and virtual reality (VR) and augmented reality (AR) experiences.
Artificial Intelligence (AI) and Machine Learning (ML): GPUs are essential for training and deploying AI/ML models, driving demand from industries like data centers, research institutions, and autonomous vehicles.
Data Centers: The growth of cloud computing and the increasing reliance on data centers for various applications, including AI, big data analytics, and high-performance computing (HPC), is significantly driving GPU demand.
Scientific Computing: GPUs are used in various scientific fields, such as research in physics, chemistry, and biology, for simulations, data analysis, and image processing.
Cryptocurrency Mining: While fluctuating in importance, cryptocurrency mining has historically been a significant driver of GPU demand.

Snapshot img

Graphics Processing Unit Market Size 2025-2029

The graphics processing unit (GPU) market size is forecast to increase by USD 738 billion, at a CAGR of 59.4% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. One of the primary drivers is the increasing demand for advanced gaming and virtual reality (VR) experiences. Another trend is the rising need for High-Performance Computing (HPC) in various industries, including healthcare services and big data. The healthcare sector is leveraging GPUs for medical imaging and diagnosis, while big data requires GPUs for data processing and analysis. Additionally, the limitations of upgrading GPUs in notebooks have led to an increase in demand for external GPUs and cloud-based GPU services. These factors are expected to fuel the growth of the GPU market in the coming years. The market is also witnessing advancements in technology, such as the integration of AI and machine learning capabilities in GPUs, further expanding their applications and increasing their value proposition.

What will be the Size of the Graphics Processing Unit (GPU) Market During the Forecast Period?

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The GPU market continues to experience strong growth, driven by the increasing demand for advanced graphics capabilities in various sectors. AI and machine learning applications, such as neural network training and real-time inference, are primary growth drivers, as these technologies rely heavily on GPU's parallel processing capabilities for mathematical calculations. The gaming industry remains a significant contributor to the market, with the adoption of real-time ray tracing and RTX gaming servers fueling demand for high-performance GPUs. 
Additionally, creative technologies, including 3D content creation and virtual reality (VR), are expanding the market's reach. Furthermore, GPU as a service (GPUaaS) and high-performance computing (HPC) applications in healthcare, manufacturing, real estate, and cloud-based analytics are gaining traction, offering opportunities for market expansion. Specialized processors, such as those optimized for AI and machine learning, are also emerging, further enhancing the GPU market's potential. Overall, the GPU market is poised for continued growth, driven by the increasing demand for advanced graphics capabilities across various industries.

How is this Graphics Processing Unit (GPU) Industry segmented and which is the largest segment?

The graphics processing unit (GPU) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Integrated GPUs
  Discrete GPUs


Application

  Computers
  Tablets and smartphones
  Television
  Gaming consoles


End-user

  Electronics
  IT and telecom
  Defense and intelligence
  Media and entertainment
  Others


Geography

  APAC

    China
    India
    Japan
    South Korea


  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  South America



  Middle East and Africa

By Type Insights

The integrated GPUs segment is estimated to witness significant growth during the forecast period.

The Graphics Processing Unit (GPU), an integral part of electronic processors, is responsible for rendering graphics and videos. Integrated GPUs, a type of GPU, are merged into the processor and utilize system memory shared with the Central Processing Unit (CPU). AMD's Ryzen 8000G series, launched in January 2024, is an example of advanced integrated GPUs. The Ryzen 7 8700G CPU, featuring the Radeon 780M GPU, offers improved performance compared to entry-level graphics cards. This energy-efficient solution caters to gaming and graphics-intensive tasks, providing a cost-effective alternative. In the digital world, GPUs play a crucial role in various applications, including video rendering, gaming platforms, creative technologies, and emerging fields like artificial intelligence (AI), virtual reality (VR), and augmented reality (AR).

With the increasing adoption of AI-powered solutions, GPUs are essential for machine learning applications, fraud detection, conversational AI solutions, and more. The global spending on the gaming industry, including PC games, mobile titles, and gaming platforms, is projected to expand, fueled by changing demographics and the growing popularity of cloud-based analytics applications and healthcare applications. GPUs enable good visuals, fluid gameplay, and realistic environments, making them indispensable in the digital age. However, ethical concerns, such as GDPR, user data, and biased algorithms, necessitate regulatory scrutiny and optimization by skilled engineers and developers.

Get a glance at the Graphics Processing Unit (GPU) Industry rep

GPUtil

Monitor the GPU usage from NVIDA GPUs using nvidia-smi. (https://github.com/anderskm/gputil)

Code sample:

import sys
import torch
sys.path.append('../input/gputil/GPUtil')
from GPUtil import showUtilization as gpu_usage


print("Initial GPU Usage")
gpu_usage()               

tensorList = []
for i in range(10):
  tensorList.append(torch.randn(10000000,10).cuda())  # reduce the size of tensor if you are getting OOM

print("GPU Usage after allcoating a bunch of Tensors")
gpu_usage()

del tensorList # free up the GPU memory

print("GPU Usage after deleting the Tensors")
gpu_usage() 

print("GPU Usage after emptying the cache")
torch.cuda.empty_cache()
gpu_usage()

The GPU Database Market Report is Segmented by Component (Solution, Services), by Deployment (Cloud, On-Premises), by End-User (BFSI, IT and Telecom, Retail, Healthcare, Government, Other End-Users), by Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

According to Cognitive Market Research, the global GPU Database market size will be USD 455 million in 2024 and will expand at a compound annual growth rate (CAGR) of 20.7% from 2024 to 2031. Market Dynamics of GPU Database Market Key Drivers for GPU Database Market Growing Demand for High-Performance Computing in Various Data-Intensive Industries- One of the main reasons the GPU Database market is growing demand for high-performance computing (HPC) across various data-intensive industries. These industries, including finance, healthcare, and telecommunications, require rapid data processing and real-time analytics, which GPU databases excel at providing. Unlike traditional CPU databases, GPU databases leverage the parallel processing power of GPUs to handle complex queries and large datasets more efficiently. This capability is crucial for applications such as machine learning, artificial intelligence, and big data analytics. The expansion of data and the increasing need for speed and scalability in processing are pushing enterprises to adopt GPU databases. Consequently, the market is poised for robust growth as organizations continue to seek solutions that offer enhanced performance, reduced latency, and greater computational power to meet their evolving data management needs. The increasing demand for gaining insights from large volumes of data generated across verticals to drive the GPU Database market's expansion in the years ahead. Key Restraints for GPU Database Market Lack of efficient training professionals poses a serious threat to the GPU Database industry. The market also faces significant difficulties related to insufficient security options. Introduction of the GPU Database Market The GPU database market is experiencing rapid growth due to the increasing demand for high-performance data processing and analytics. GPUs, or Graphics Processing Units, excel in parallel processing, making them ideal for handling large-scale, complex data sets with unprecedented speed and efficiency. This market is driven by the proliferation of big data, advancements in AI and machine learning, and the need for real-time analytics across industries such as finance, healthcare, and retail. Companies are increasingly adopting GPU-accelerated databases to enhance data visualization, predictive analytics, and computational workloads. Key players in this market include established tech giants and specialized startups, all contributing to a competitive landscape marked by innovation and strategic partnerships. As organizations continue to seek faster and more efficient ways to harness their data, the GPU database market is poised for substantial growth, reshaping the future of data management and analytics.< /p>

The gaming GPU market is experiencing robust growth, projected to reach a market size of $3.65 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 33.84% from 2025 to 2033. This expansion is fueled by several key factors. The rising popularity of esports and competitive gaming, coupled with the increasing demand for higher resolutions and more realistic graphics in gaming experiences, are primary drivers. Technological advancements, such as the introduction of ray tracing and AI-enhanced graphics processing, further stimulate market growth by enhancing visual fidelity and gaming performance. The increasing adoption of cloud gaming services also contributes, as it lowers the barrier to entry for gamers and increases the overall demand for powerful GPUs in data centers supporting these services. Segment-wise, dedicated graphic cards currently dominate the market, followed by integrated graphics solutions. The mobile devices segment is experiencing rapid growth due to the increasing popularity of mobile gaming. Key players like NVIDIA, AMD, Intel, and others are constantly innovating and releasing new products, fostering competition and accelerating market expansion. Significant regional variations exist within the gaming GPU market. While North America and Europe currently hold substantial market shares, the Asia-Pacific region is anticipated to experience the most significant growth over the forecast period, driven by the burgeoning gaming culture and increasing disposable incomes in developing economies. The automotive segment, using GPUs for advanced driver-assistance systems (ADAS) and autonomous driving capabilities, presents a rapidly emerging market segment contributing to the overall expansion of the GPU market. However, potential restraints include supply chain disruptions, the fluctuating prices of critical components (like memory chips), and the high initial cost of high-end gaming GPUs, which could limit accessibility for some consumers. Despite these challenges, the long-term outlook for the gaming GPU market remains highly positive, supported by continuous technological innovation and the ever-growing demand for immersive and high-quality gaming experiences. This comprehensive report provides an in-depth analysis of the global gaming GPU market, covering the period from 2019 to 2033. It offers a detailed examination of market size, growth drivers, challenges, and emerging trends, empowering businesses to make informed strategic decisions. With a focus on key players like NVIDIA, AMD, and Intel, the report delves into market segmentation by type (Dedicated Graphic Cards, Integrated Graphics Solutions, Other Market Types), device (Mobile Devices, PCs and Workstations, Gaming Consoles, Automotive, Other Devices), and geographic regions. The report uses 2025 as the base year and provides estimates for 2025 and forecasts until 2033, utilizing data from the historical period (2019-2024). The market is expected to reach several billion USD by 2033. Recent developments include: January 2023: NVIDIA introduced RTX 40 Mobile GPUs, promising laptop gamers performance on par with that of desktop systems. The business unveiled the GeForce RTX 4090 and GeForce RTX 4080. These GPUs are nonetheless very powerful even though the mobile versions are much smaller than the desktop counterparts. They can drive "3x 4K" monitors in Surround Gaming at 60 frames per second. That translates to 11,520 by 2160 pixels or over 25 megapixels. Further highlighting the usefulness of its powerful Ada GPUs for productivity applications, NVIDIA has developed its flagship-class RTX 40 GPU to provide "2X quicker video export.", November 2022: AMD unveiled new graphics cards for high-end gaming based on the fast and economical RDNA 3 architecture. The company's new RDNA 3 architectures have been used for the first time in its RX 7900 XTX and RX 7900 XT graphics cards. According to the manufacturer, the new graphics cards also enable DisplayPort 2.1 displays, giving outstanding images and ultra-high frame rates at up to 4K 480Hz and 8K 165Hz refresh rates.. Key drivers for this market are: Rising Demand for Gaming Consoles, Augmented Reality (AR), and Virtual Reality (VR) in the industry, Increasing Demand for Advanced Displays with Higher Refresh Rates. Potential restraints include: High Initial Investment. Notable trends are: Rising Demand for Gaming Consoles, Augmented Reality (AR), and Virtual Reality (VR) in the industry are Driving the Market.

As of February 2025, NVIDIA's brand-new RTX 50 series achieved the best average OpenCL performances among graphics processing units (GPUs) with NVIDIA GeForce RTX 5090 D scoring 385,013 from the Geekbench benchmarking tests and NVIDIA GeForce RTX 5090 366,172. What does Geekbench measure? Geekbench is a cross-platform benchmark that measures system performance, giving users the ability to compare processors and devices across a range of factors. In addition to GPUs, Geekbench offers comparative data for central processing units (CPUs), Android devices, iOS devices, and Mac devices, as well as machine learning activities. Geekbench ML for machine learning scoring The Geekbench ML benchmark platform helps users understand how efficiently devices can run the latest machine learning applications. Geekbench ML runs tests using a device's CPU, GPU, and neural processing unit (NPU). The advantage of NPUs is that they can accelerate the performance of machine learning tasks, providing a significant boost in performance compared to using a CPU alone.

Snapshot img

Gaming Graphic Processing Unit (Gpu) Market Size 2024-2028

The gaming graphic processing unit (gpu) market size is forecast to increase by USD 49.2 billion at a CAGR of 20.94% between 2023 and 2028.

The gaming GPU market is experiencing significant growth due to several key trends. The surge in popularity of PC games and gaming consoles is driving the demand for more powerful GPUs to deliver superior graphics and performance. Additionally, the launch of new and advanced GPUs from major tech companies continues to fuel market growth. However, the market also faces challenges such as the increasing threat of cybercrime in gaming, which necessitates stronger security measures to protect players' data and privacy. As the gaming industry evolves, GPU manufacturers must stay abreast of these trends and challenges to remain competitive and meet the demands of tech-savvy gamers.The market is expected to continue its robust growth trajectory, offering ample opportunities for players and investors alike.

What will be the Size of the Gaming Graphic Processing Unit (Gpu) Market During the Forecast Period?

Request Free SampleThe gaming GPU market encompasses graphics processing units (GPUs) designed specifically for personal computing devices, including gaming consoles, graphics add-in boards for personal computers (PCs) and laptops, and specialized processors for gaming industry applications. The GPU industry's growth is driven by the increasing demand for enhanced graphics performance in gaming, entertainment, and professional industries. 3D graphics and 3D content creation are primary applications for GPUs, fueling the market's expansion. GPU technology also plays a crucial role in artificial intelligence (AI) speech engines, animation-based games, and real-time rendering for various industries such as automotive and real estate. GPU technology continues to evolve, with advancements in processor technologies, mathematical calculations, and real-time rendering capabilities.The market size is substantial, with significant investments from micro-processing companies and the continuous integration of GPUs into various computing products, including PCs, laptops, gaming consoles, mobile devices, and even electronic machines. The GPU market's direction is towards GPU-as-a-Service (GPUaaS) and cloud-based graphics processing, enabling access to high-performance graphics capabilities for various applications without the need for expensive hardware. The PCI Express slot, video card, and motherboard remain essential components for traditional desktop systems, while portable computing devices and smartphones increasingly adopt integrated GPUs for efficient processing.

How is this Gaming Graphic Processing Unit (Gpu) Industry segmented and which is the largest segment?

The gaming graphic processing unit (gpu) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. End-userMobile devicesPCs and workstationsGaming consolesOthersTypeDedicated graphic cardIntegrated graphic cardGeographyNorth AmericaUSEuropeGermanyAPACChinaJapanSouth KoreaSouth AmericaMiddle East and Africa

By End-user Insights

The mobile devices segment is estimated to witness significant growth during the forecast period. The GPU market is experiencing significant growth due to the increasing demand for advanced graphic technologies in personal computing devices, gaming consoles, and graphics add-in boards from micro-processing companies. In the computing products sector, personal computers (PCs) and laptops continue to be major consumers of GPUs for high-performance gaming applications. The gaming industry's shift towards AI speech engines, 3D graphics, and virtual reality headsets is further fueling the demand for GPUs. Semiconductor chips, cloud services, and data center infrastructure are other areas where GPUs are increasingly being used for 2D graphics, mathematical calculations, and GPU industry applications. The automotive sector, real estate, and automobiles are also adopting AI-powered solutions, leading to an increased need for GPU computing.The rise of artificial intelligence, machine learning, and visual graphics applications in consumer electronics, IT and telecommunication, defense and intelligence, media and entertainment, and IoT industries is also contributing to the market's growth. The GPU industry's future lies in specialized processors, GPUaaS, and AI-powered solutions for various industries.

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The Mobile devices segment was valued at USD 6.70 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 32% to the growth of

Snapshot img

Data Center GPU Market Size 2025-2029

The data center GPU market size is forecast to increase by USD 54.08 billion, at a CAGR of 32.9% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. The increasing adoption of multi-cloud and network upgrades to support 5G is driving the demand for more powerful GPUs in data centers. Advanced server technology is also being developed to support machine learning (ML) and deep learning (DL) workloads, further boosting the market. However, the high initial costs and long lead times for data center construction remain challenges. Despite these hurdles, the market is expected to continue expanding as businesses seek to improve their data processing capabilities and leverage the power of advanced technologies like AI and ML. The market's growth trajectory is promising, with numerous opportunities for companies and stakeholders alike.

What will be the Size of the Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for advanced computing capabilities in various industries. Hybrid cloud deployment is a key trend driving this growth as organizations seek to balance the benefits of on-premise and cloud-based solutions. Autonomous vehicle development, metaverse infrastructure, defense technology investments, financial technology innovation, and AI model training are some of the sectors fueling the need for scalable GPU solutions. The adoption of edge computing is another significant factor influencing the market. Technology trends, such as virtual and augmented reality, require high-performance computing power, leading to increased demand for GPUs in data centers. Data center modernization is a priority for many organizations, with cloud security solutions and cloud scalability solutions being critical considerations. Energy consumption and data center sustainability are becoming increasingly important issues, leading to the development of cloud infrastructure that is more energy-efficient and sustainable.
Cloud computing costs, IT infrastructure costs, and system management costs are also key concerns, making data center optimization a priority. Cloud service providers are investing in GPU computing power to meet the demands of their clients. Supply chain localization and the semiconductor shortage are challenges that may impact the market, but innovation in high-performance computing clusters and data center design is helping to mitigate these issues. Healthcare technology advancements and data center efficiency are other areas where GPUs are making a significant impact. Cloud cost optimization, server maintenance, data security, software updates, and data center capacity are all critical aspects of managing a modern data center.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud


Type

  Training
  Inference


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Middle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

On-premises data centers housing GPUs refer to a collection of servers owned and managed by the end-user. In contrast to traditional cloud computing GPU models, these resources are leased from third-party providers. On-premises GPUs cater to machine learning applications requiring high performance and access to advanced technologies, such as deep learning applications with high memory bandwidth needs and low latency. However, as data centers shrink and transition to colocation providers and service-centric models for physical infrastructure, on-premises GPU infrastructure can be integrated into the cloud for cost-effective solutions. VMware, Apache Spark, and various AI frameworks can be utilized in this hybrid cloud setup for GPU-accelerated applications, enterprise inference, data analytics tasks, and operational costs.

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The on-premises segment was valued at USD 2.71 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 34% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions Request Free

According to Cognitive Market Research, the global GPU for AI market size will be USD 17581.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 30.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 7032.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 5274.36 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 4043.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 32.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 879.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 351.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.3% from 2024 to 2031.
The Natural Language Processing category is the fastest growing segment of the GPU for AI industry

Market Dynamics of GPU for AI Market

Key Drivers for GPU for AI Market

Reformation in the gaming sector will drive the market growth

The gaming industry has been significantly transformed by the graphic processing unit, which is one of the key technologies. The gaming industry has undergone a significant transformation as a result of the realistic environment, fluid gameplay, and immersive visuals. Both novice and experienced gamers may employ graphics processing units. NVIDIA, AMD GPUS, Voodoo, Intel, and GeForce are among the major market participants in the graphic processing unit market that are consistently expanding their capabilities in the gaming graphics sector. The GPU market is driven by the ongoing innovation in the field of gaming by the graphic processing unit.

Growing augmented reality and virtual reality to Drive Market Growth

From the gaming industry to the entertainment industry, the graphics processing unit is instrumental in the transformation of the digital world. It revolutionizes the industry through innovation and technology. The GPU technology for virtual and augmented reality is being prominently advanced by major key actors, which is gathering popularity among consumers, developers, and the entertainment industry. The growth of the graphic processing unit (GPU) market is being driven by the increasing integration of a graphic processing unit with virtual reality and augmented reality in applications.

Restraint Factor for the GPU for AI Market

Privacy concerns regarding data, will limit market growth

Companies must guarantee the security of user data in order to comply with the European Union's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), which are becoming increasingly stringent. In addition to the compliance costs and constraints that these regulations may impose, GPU manufacturers and users are required to adhere to them. Ethical concerns regarding data privacy and discrimination may arise as a result of the utilization of GPUs in AI and deep learning. The potential consequences of biased algorithms or models that are trained on sensitive data include privacy violations and discriminatory outcomes, which can result in regulatory scrutiny and reputational harm.

Impact of Covid-19 on the GPU for AI Market

The GPU market for AI was significantly affected by the COVID-19 pandemic. Disruptions in supply chains and manufacturing processes were initially the result of the pandemic, resulting in hardware production delays and shortages. The consequence of this was an increase in prices and the inability to satisfy the increasing demand for AI servers and GPUs. Conversely, there was an increase in demand for AI technologies to resolve pandemic-related issues, including medical research, contact tracing, and remote work solutions, as businesses and organizations adjusted to the new normal. As a result of this heightened demand, the GPU market was able to recover and even expand, as companies made a greater investment in AI and machine learning capabilities to address the uncertainties resulting from the pandemic. Introduction of the GPU for AI Market

The GPU for ...

🚫 Hands Off! This dataset’s locked down—no downloading or messing with it unless you’re cleared. Regular Hugging Face users, this ain’t for you.

  NVIDIA GPU Scraper

This project crunches NVIDIA GPU data in a slick Docker setup. It scrapes the web with webscraped.py, then whips up a tidy report with summary.py. Think CSV gold like nvidia_gpu_summary_report.csv.

  What You Need

Docker on your machine. Basic command-line chops.

  Quick Start





  Project Layout… See the full description on the dataset page: https://huggingface.co/datasets/bniladridas/nvidia-gpu-dataset.

Introduction

Graphics Processing Units Statistics: Graphics Processing Units (GPUs) have emerged as a crucial component of modern computing systems.

They play a pivotal role in various fields ranging from graphics rendering to scientific simulations and artificial intelligence.

The primary function of GPUs is to handle the massive computational requirements inherent in rendering high-resolution graphics and complex visual effects.

Originally designed to accelerate graphical computations for visual rendering. GPUs have evolved into highly parallel processors capable of handling complex mathematical computations.

This evolution has given rise to their applications in diverse domains such as gaming, machine learning, scientific research, and more.

Global GPU Database Market size is set to expand from $ 509.36 Million in 2023 to $ 2368.35 Million by 2032, with an anticipated CAGR of around 18.62% from 2024 to 2032.

Mobile GPU Market Outlook

The global mobile GPU market size was valued at approximately USD 13.5 billion in 2023 and is projected to reach USD 28.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.7% during the forecast period. The robust growth of this market is driven by increasing demand for high-performance graphics processing units in mobile devices, heightened consumer demand for immersive gaming experiences, and the growing adoption of advanced technologies such as AI and AR/VR in mobile applications.

The ongoing advancements in semiconductor technology are a primary growth factor for the mobile GPU market. As semiconductor manufacturing techniques continue to evolve, mobile GPUs are becoming more powerful and energy-efficient, enabling smartphones and tablets to deliver high-end graphics performance previously only possible on desktop computers. This trend is particularly important given the increasing consumer expectations for high-quality graphics and smooth performance in mobile devices. Moreover, shrinking transistor sizes and the integration of more cores in mobile GPUs have significantly enhanced their computational capabilities, thus driving market expansion.

Another significant growth driver is the surging popularity of mobile gaming. With the proliferation of smartphones and the accessibility of mobile gaming platforms, the demand for advanced mobile GPUs has skyrocketed. Gamers increasingly seek devices that can support high-resolution graphics and complex gameplay without compromising performance. This demand has spurred investments in mobile GPU development, leading to the release of increasingly sophisticated and powerful GPUs tailored specifically for gaming applications. Furthermore, the rise of esports and streaming has further accentuated the need for high-performance mobile GPUs.

The integration of AI, AR, and VR in mobile applications also plays a crucial role in propelling the mobile GPU market. AI functionalities such as facial recognition, real-time translation, and intelligent virtual assistants require substantial computational power, which mobile GPUs provide. Similarly, AR and VR applications demand high graphics processing capabilities to deliver seamless and immersive experiences. The necessity for robust mobile GPUs in these emerging technologies is fostering significant market growth.

The interplay between CPU and GPU technologies is becoming increasingly significant in the mobile GPU market. As mobile devices strive to deliver desktop-level performance, the integration of powerful CPUs and GPUs is crucial. This synergy allows for efficient handling of complex tasks, such as rendering high-resolution graphics and executing AI algorithms. The CPU manages general processing tasks while the GPU excels in parallel processing, making them a perfect combination for mobile devices that require both power and efficiency. The continuous advancements in CPU and GPU architectures are enabling mobile devices to support more demanding applications, thereby enhancing user experiences across various sectors.

Regionally, the Asia Pacific region dominates the mobile GPU market, driven by the presence of major semiconductor manufacturers and a massive consumer base for smartphones and other mobile devices. Countries like China, Japan, and South Korea are at the forefront of technological innovation, significantly contributing to the market's expansion. Additionally, North America's market growth is propelled by the strong presence of leading tech companies and high consumer adoption of advanced mobile technologies. Europe and Latin America are also witnessing steady growth, supported by increased investments in mobile technology infrastructure.

Component Analysis

The mobile GPU market by component encompasses hardware, software, and services. Hardware remains the largest segment, driven by the continuous innovation and introduction of new GPU models that offer enhanced performance and energy efficiency. Companies are heavily investing in research and development to create advanced hardware that supports higher resolutions and faster processing speeds. This segment is also influenced by the increasing integration of GPUs in a wide range of mobile devices, from smartphones to tablets and even wearable technology.

Software is another critical component of the mobile GPU market. The software segment includes drivers, middleware, and APIs that optimize the perfo