Forecast Period | 2024-2028 |
Market Size (2022) | USD 42.57 Billion |
CAGR (2023-2028) | 27.54% |
Fastest Growing Segment | Hybrid |
Largest Market | North America |
Global graphics processing unit (GPU) market
The GPU market is driven by the demand for improved graphic computing systems for platforms for artificial intelligence (AI), virtual reality (VR), and augmented reality (AR). The industry is growing as a result of the continually improving visual games, growing popularity of augmented reality (AR), and artificial intelligence (AI), which is in vogue, and virtual reality (VR). GPU for AI platforms will undoubtedly become commonplace in the near future, and it can lessen the current problems with breakdown and information loss.
Additionally, as businesses go through a digital transformation and adopt cutting-edge technologies like big data, the cloud, artificial intelligence (AI), and others, they are concentrating on designing data centres around workloads that are anticipated to support DNNs and AI. Companies prefer data centres that can accommodate GPU servers because they offer a number of advantages, including better performance, higher efficiency, low power consumption for advanced workloads, a need for less floor space, and others that are expected to further fuel the market's expansion. As a result, the constantly expanding global network of data centres offers enormous opportunities for GPU suppliers. For instance, Cisco Systems, Inc. predicts that traffic in cloud data centres worldwide would increase to 20.6 Zettabytes (ZB) annually by 2021 from 6.0 Zettabytes annually in 2016. Additionally, it is anticipated that there will be 628 hyperscale datacenters worldwide in 2021 as opposed to 338 in 2016.
Defination
A computer chip called a graphics processing unit, often referred to as a visual processing unit, is used to create images by quickly performing mathematical computations. In contrast to CPUs, it has hundreds of cores that can manage thousands of threads at once. The CPU has a small number of cores and limited cache capacity, which restricts its ability to manage several threads at once.
Constant Improvements in Games with Graphics
In the last 50 years, millions of games have been developed, and due to developments in GPU technology, they now enable intricate physical simulations, sophisticated AI, and procedural creation. From a fixed function graphics pipeline to a programmable parallel processor with processing capability greater than multicore CPUs, the contemporary GPU has seen significant evolution.
Advancements in graphics technology and associated innovations in smart phones and consumer electronics, achieving full virtual or augmented reality and producing an engaging user experience are now conceivable. Numerous businesses are creating VR solutions with the goal of radically redefining how people interact with computers.
Moreover, deep learning, computer vision, robotics, collaborative systems, machine learning, and the natural learning process are all included in the field of artificial intelligence. Due to its dedication to making computers intelligent and giving them the ability to act correctly with foresight in their environment, AI has made great strides in recent years. Deep Neural Networks (DNNs) must be accelerated by GPUs in order for AI to begin deep learning. Companies are working on a new computing paradigm that accelerates computation with GPUs by using parallel graphics processors. For instance, NVIDIA announced the DRIVE PX 2, a palm-sized, energy-efficient AI computer that runs on the latest system-on-chip GPU from the business, which is based on the NVIDIA Pascal architecture. Thus, it is anticipated that the GPU industry would rise rapidly due to growing AI.
Inability of Integrated GPU to Support Graphic Design Software
The use of integrated GPUs is widespread in wearables and portable electronics, including smartphones, tablets, laptops, handheld gaming consoles, and many more. They are compact, use less electricity, and lengthen the life of the apparatus. For applications like HD image processing and 3D or 2D gaming, these are perfect. However, if intensive graphic computation is required, integrated GPUs are not appropriate for platforms for artificial intelligence, supercomputers, play stations, and VR & AR systems. The inability of integrated GPUs to support intensive graphic designing software is expected to be overcome during the forecast period, despite the fact that key players in the market are conducting research to facilitate the advancement of integrated GPUs and make them compatible for high graphic processing.
Market Segmentation
The graphics processing unit (GPU) market is segmented into type, device, industry vertical, and region . Based on type, the market is segmented into dedicated, integrated, hybrid
Market Player
Recent Developments
- The Arc series of graphics processing units (GPU)for laptops and desktop PCs was introduced by Intel in March 2022. Pre-ordersfor laptops with the Arc 3 GPU, which is intended for improved gaming andcontent creation, are now being taken; laptops with the Arc 5 and Arc 7 GPUs,which are intended for sophisticated and high-performance gaming, will followlater in 2022.
- AMD completes the acquisition of Xilinx inFebruary 2022. With the addition of Xilinx, the industry's leader inhigh-performance and adaptive computing will be created, along with the abilityto provide a wider range of solutions, including AMD CPUs and GPUs. Theseproducts, customers, and markets are all highly complementary to one another.
- In January 2022, Nvidia unveiled the USD249GeForce RTX 3050 GPU, which will be available later this month and is designedto let PCs run the newest games. Additionally, Nvidia unveiled the potentGeForce RTX 3090 Ti GPU, which it said outperforms the previous USD1,499 RTX3090.
- Microsoft made intentions to purchaseActivision Blizzard Inc., a significant leader in game creation and a publisherof interactive entertainment material, public in January 2022. The demand forMicrosoft's Xbox products is anticipated to increase as a result of thispurchase, which might accelerate the expansion of the company's gaming businessacross mobile, PC, console, and cloud platforms.
- Intel releases the Arctic Sound-M GPU FlexSeries for the Intelligent Visual Cloud in August 2022. Flex Series GPU is madeto handle the demands of intelligent visual cloud applications, providing 5xmedia transcode throughput performance and up to 68 concurrent cloud gamingstreams.
Attribute | Details |
Base Year | 2022 |
Historic Data | 2018 – 2021 |
Estimated Year | 2023 |
Forecast Period | 2024 – 2028 |
Quantitative Units | Revenue in USD Million and CAGR for 2018-2022 and 2024-2028 |
Report Coverage | Revenue forecast, company share, growth factors, and trends |
Segments Covered | Type Device Industry Vertical Region |
Regional Scope | North America, Asia-Pacific, Europe, South America, Middle East & Africa |
Country Scope | United States, Canada, Mexico, China, India, Japan, South Korea, Australia, Singapore, Malaysia, Germany, United Kingdom, France, Russia, Spain, Belgium, Italy, Brazil, Colombia, Argentina, Peru, Chile, Saudi Arabia, South Africa, UAE, Israel, Turkey |
Key Companies Profiled | IBM Corporation, Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., Qualcomm Incorporated, Advanced Micro Devices, Inc., Dassault Systems, Inc., Google, Inc., Siemens AG, Sony Corporation |
Customization Scope | 10% free report customization with purchase. Addition or alteration to country, regional & segment scope. |
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