Microprocessor and GPU Market Report Examines and Key Drivers Supporting Growth

The microprocessor is also known as the control processing unit of a computer system that executes arithmetic and logic operations, including adding, subtracting, moving numbers from one area to another, and comparing two numbers. In comparison, GPU or graphics processed units are referred to as a specialized circuit created to rapidly change and manipulate the memory, which helps obtain the momentum for creating the image. GPU is an essential part of lightweight laptops and for modern computer systems as well. The Microprocessor and GPU Market is anticipated to grow at the rate of 6.2% CAGR by 2027. The advancements in the microprocessor and GPU systems’ architecture for several purpose computing constitute a significant factor accountable for the rapid growth of the microprocessor and GPU market.

GPU accelerated computing has come a long way in a very short time, as line up with the current technological trends. The demand for GPUs has spurred for HPC programming and other uses due to increased generality minimized energy and PGAS memory and fueled the market’s growth. But, the rising attraction towards portable devices over big computing devices is a key factor that is expected to hinder the market’s growth.

As per the product, the x86 is projected to command the global microprocessor and GPU market over the forecast period. Since x86 is one of the most advanced microprocessors, which comprises more than 820 million transistors, it leads to an escalated demand as used in a personal computer. The current developments in the performance capabilities are majorly responsible for the growth of the segment.
The discrete GPUs segment has a significant share based on GPU type in the market. Discrete GPUs are appropriate for visualization, gaming, animation, video rendering, and other graphic-intensive applications.

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These GPUs provide potentially high-performance abilities, a smooth image processing experience, and provide seamless gaming. The demand for discrete GPUs has increased briskly with the deployment of advanced technologies, such as machine learning (ML) and deep learning, since they are widely used in advanced driver assistance systems (ADAS), computing-intensive servers, and the infotainment system in an automobile.

The industrial segment is projected to witness the highest growth in the forecast period based on the application. The factor that can be ascribed to the segment’s growth is related to the rising adoption of industrial PCs, which can process data at a rapid speed. These IPCs are robust to withstand severe industrial conditions such as temperature, weight, vibration, and humidity. Due to the severe environment, GPUS used in these PCs is of high quality, with augmented computational speed to manage fast processing.

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Christophe Rude

Christophe Rude

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