Graphic processing unit (GPU) is an electric circuit that facilitates rapid generation of computer graphics and image processing on various devices such as mobile phones, personal computers, video cards, and system boards. It serves as an important enabler of advanced technologies such as AI, ML, and blockchain, as GPU minimizes the time required to run several programs by performing rapid mathematical calculations. Thus, the major applications of GPU include video editing, high-performance computing, AI, ML, deep learning, visualization and simulation, content creation, and gaming.
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GPU has its own random access memory, which stores data and code that is altered and accessed by the chip as required. Its random access memory holds massive volumes of data used for computer-intensive tasks like gaming, graphics editing, or AI/ML applications. Graphics Double Data Rate 6 Synchronous Dynamic Random-Access Memory (GDDR6) and GDDR6X are two types of GPU memory. Although around 15% lesser power per transferred bit is consumed by GDDR6X as compared to GDDR6, its overall power consumption is significantly high due to its faster transfer capacity.
Which Types of GPUs are Gaining High Traction?
According to Allied Market Research, the graphic processing unit market is expected to garner $200.85 billion by 2027. The sector accounted for $19.75 billion in 2019 and is projected to exhibit a CAGR of 33.6% from 2020 to 2027. This revenue growth is driven by various factors such as rapid proliferation of AI and ML across various industries and expansion of the gaming sector. Furthermore, increase in adoption of devices like smartphones, tablets, and other mobile devices notably contributes toward the market growth. This is attributed to the fact that these electronics are integrated with GPUs to enhance graphics performance and support applications like mobile gaming and AR. In addition, increase in deployment of GPUs by cloud service providers like Amazon Web Services, Microsoft Azure, and Google Cloud to improve computing capabilities acts as the key driving force of the industry.
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Three major types of GPUs available include discrete GPUs, virtual GPUs, and integrated GPUs. Discrete GPUs are specialized processors that solely handle graphics, working independently from the computer’s main processor. They handle graphics processing independently and are used for demanding tasks like video editing, content creation, and high-end gaming. Discrete GPUs connect to the CPU through an express slot. A popular example is Intel’s Arc GPUs, designed mainly for PC gaming. On the contrary, integrated GPUs are built directly into a computer’s CPU.
First introduced widely by Intel in the 2010s, they combine processing and graphics power on one chip. They are commonly integrated in laptops and are suitable for everyday gaming and running heavy programs without needing a separate graphics card. Alternatively, virtual GPUs work like physical GPUs but exist as software in the cloud. They allow users to perform graphics-heavy tasks remotely without needing actual GPU hardware, making them easier and cheaper to manage. As these high-performance GPUs have the capability to process massive volumes of calculations with large amount of available memory, they are ideal for AI/ML and deep learning applications.
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Key Findings Of The Study
By type, in 2019 the integrated GPUs dominated the Graphic Processing Unit (GPU) market size. However, the hybrid GPUs is expected to exhibit significant growth during the forecast period.
By device, the smartphone segment accounted for the highest revenue in 2019 and the computer segment is expected to witness highest growth rate in the forecasted period.
By industry vertical, the electronics industry generated the highest revenue in 2019. However, the railways segment is expected to witness highest growth rate in the near future.
By region, the Graphic Processing Unit (GPU) market was dominated by North America region. However, other industries are expected to witness significant growth in the upcoming years.
Some of the key Graphic Processing Unit (GPU) industry players profiled in the report include IBM Corporation, Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., Qualcomm Incorporated, Advanced Micro Devices, Inc., Dassault Systems, Inc., Google LLC, Siemens AG, Sony Corporation and others. This study includes graphics processing unit market trends, graphics processing unit market analysis, and future estimations to determine the imminent investment pockets.
Final Remark
GPUs have emerged as the key enablers for AI, ML, and deep learning applications, as these computer chips exhibit the capabilities of rapidly processing mathematical calculations to render images. With rapid penetration of laptops, tablets, mobile phones, and medical wearable equipment, the need for GPUs is expected to increase considerably. Furthermore, virtual GPUs, discrete GPUs, and integrated GPUs are gaining high traction due to rapid proliferation of applications like AI and ML platforms, supercomputers, and augmented and virtual reality systems. As a result, surge in demand for high-performance computing across various sectors is projected to propel the expansion of the GPU industry in the coming future.
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