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GPU for Deep Learning Market: Size, Share, Growth, Analysis, Key Players, Revenue, Growth | Valuates Reports

11-27-2023 08:15 AM CET | Advertising, Media Consulting, Marketing Research

Press release from: Valuates Reports

Global 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.

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The global GPU for Deep Learning market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for GPU for Deep Learning is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for GPU for Deep Learning is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of GPU for Deep Learning include Nvidia, AMD and Intel, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.

Report Scope
This report aims to provide a comprehensive presentation of the global market for GPU for Deep Learning, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding GPU for Deep Learning.

The GPU for Deep Learning market size, estimations, and forecasts are provided in terms of output/shipments (K Units) and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global GPU for Deep Learning market comprehensively. Regional market sizes, concerning products by type, by application and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the GPU for Deep Learning manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.

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https://reports.valuates.com/request/regional/QYRE-Auto-23T8531/Global_GPU_for_Deep_Learning_Market_Insights_and_Forecast_to_2028

Key Segmentations
By Company
• Nvidia
• AMD
• Intel

Segment by Type
• RAM Below 4GB
• RAM 4~8 GB
• RAM 8~12GB
• RAM Above 12GB

Segment by Application
• Personal Computers
• Workstations
• Game Consoles

View full report
https://reports.valuates.com/market-reports/QYRE-Auto-23T8531/global-gpu-for-deep-learning

Get similar reports
1. https://reports.valuates.com/market-reports/QYRE-Auto-24M352/deep-learning
2. https://reports.valuates.com/market-reports/QYRE-Auto-34Y12915/global-deep-learning-for-cognitive-computing
3. https://reports.valuates.com/market-reports/QYRE-Auto-9M13946/global-deep-learning-ai-server

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