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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.
This report provides a complete quantitative data and qualitative analysis on the global market for GPU for Deep Learning. Market size is analysed by country, product type, application, and competitors. Expanded coverage includes additional end-user industry breakdowns and in-depth producer profiles.
Prior to COVID-19, the global market for GPU for Deep Learning was anticipated to grow from US$ XX million in 2020 to US$ XX million by 2026; it is expected to grow at a CAGR of xx% during 2021–2026, whereas post-COVID-19 scenario, the market for GPU for Deep Learning is projected to grow from US$ XX million in 2020 (a change by ~XX% compared to market estimated for 2020 before the outbreak of COVID-19) to US$ XX billion by 2026; it is expected to grow at a CAGR of XX% during 2021–2026.
This report covers market size and forecasts of GPU for Deep Learning, including the following market information:
Global GPU for Deep Learning Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million) & (K Units)
Global GPU for Deep Learning Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million) & (K Units)
Global GPU for Deep Learning Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million) & (K Units)
Global GPU for Deep Learning Market Size by Company, 2019- 2020 (quarterly data), (US$ Million) & (K Units)
Key market players
Major competitors identified in this market include Nvidia, AMD, Intel, etc.
Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)
Based on the Type:
RAM Below 4GB
RAM 4~8 GB
RAM 8~12GB
RAM Above 12GB
Based on the Application:
Personal Computers,
Workstations
Game Consoles
This report provides a complete quantitative data and qualitative analysis on the global market for GPU for Deep Learning. Market size is analysed by country, product type, application, and competitors. Expanded coverage includes additional end-user industry breakdowns and in-depth producer profiles.
Prior to COVID-19, the global market for GPU for Deep Learning was anticipated to grow from US$ XX million in 2020 to US$ XX million by 2026; it is expected to grow at a CAGR of xx% during 2021–2026, whereas post-COVID-19 scenario, the market for GPU for Deep Learning is projected to grow from US$ XX million in 2020 (a change by ~XX% compared to market estimated for 2020 before the outbreak of COVID-19) to US$ XX billion by 2026; it is expected to grow at a CAGR of XX% during 2021–2026.
This report covers market size and forecasts of GPU for Deep Learning, including the following market information:
Global GPU for Deep Learning Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million) & (K Units)
Global GPU for Deep Learning Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million) & (K Units)
Global GPU for Deep Learning Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million) & (K Units)
Global GPU for Deep Learning Market Size by Company, 2019- 2020 (quarterly data), (US$ Million) & (K Units)
Key market players
Major competitors identified in this market include Nvidia, AMD, Intel, etc.
Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)
Based on the Type:
RAM Below 4GB
RAM 4~8 GB
RAM 8~12GB
RAM Above 12GB
Based on the Application:
Personal Computers,
Workstations
Game Consoles
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
