GPU for Deep Learning Market

A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles. Modern GPUs are very efficient at manipulating computer graphics and image processing, and their highly parallel structure makes them more efficient than general-purpose CPUs for algorithms where the processing of large blocks of data is done in parallel. In a personal computer, a GPU can be present on a video card, or it can be embedded on the motherboard or?in certain CPUs?on the CPU die.

GPU for Deep Learning Market contains market size and forecasts of GPU for Deep Learning in global, including the following market information:

Global GPU for Deep Learning Market Revenue, 2017-2022, 2023-2028, ($ millions)

Global GPU for Deep Learning Market Sales, 2017-2022, 2023-2028, (K Units)

Global top five GPU for Deep Learning companies in 2021 (%)

The global GPU for Deep Learning market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.

The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.

RAM Below 4GB Segment to Reach $ Million by 2028, with a % CAGR in next six years.

The global key manufacturers of GPU for Deep Learning include Nvidia, AMD and Intel, etc. In 2021, the global top five players have a share approximately % in terms of revenue.

MARKET MONITOR GLOBAL, INC (MMG) has surveyed the GPU for Deep Learning manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.

Total Market by Segment:

Global GPU for Deep Learning Market, by Type, 2017-2022, 2023-2028 ($ Millions) & (K Units)

Global GPU for Deep Learning Market Segment Percentages, by Type, 2021 (%)

RAM Below 4GB

RAM 4~8 GB

RAM 8~12GB

RAM Above 12GB

Global GPU for Deep Learning Market, by Application, 2017-2022, 2023-2028 ($ Millions) & (K Units)

Global GPU for Deep Learning Market Segment Percentages, by Application, 2021 (%)

Personal Computers

Workstations

Game Consoles

Global GPU for Deep Learning Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions) & (K Units)

Global GPU for Deep Learning Market Segment Percentages, By Region and Country, 2021 (%)

North America

US

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Nordic Countries

Benelux

Rest of Europe

Asia

China

Japan

South Korea

Southeast Asia

India

Rest of Asia

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

Turkey

Israel

Saudi Arabia

UAE

Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies GPU for Deep Learning revenues in global market, 2017-2022 (Estimated), ($ millions)

Key companies GPU for Deep Learning revenues share in global market, 2021 (%)

Key companies GPU for Deep Learning sales in global market, 2017-2022 (Estimated), (K Units)

Key companies GPU for Deep Learning sales share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

Nvidia

AMD

Intel