GPU for Deep Learning Market Size By Application, Industry Analysis Report, Regional Outlook (North America, Europe, Asia Pacific, Middle East & Africa, And South America), Growth Potential, Price Trends, Competitive Market Share & Forecast 2023 - 2030 (Recession Impact Analysis)
ID : MRU_
2728 | Date :
Jan, 2023 | Pages :
180 | Region : Global |
Publisher : 99 Strategy
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.
The Global GPU for Deep Learning Market had reached xxx million USD with a CAGR xx from 2018-2022. Later on, it will go to xxx million USD in 2023 with a CAGR xx % from 2023-2030.
In the global GPU for Deep Learning Market, This report focuses particularly in North America, South America, Europe and Asia-Pacific, and Middle East and Africa. This report classifies the Market on the basis of application, type, regions, and manufactures.
In Market segmentation by manufacturers, the report covers the following companies-
Nvidia
AMD
Intel
In Market segmentation by geographical regions, the report has analysed the following regions-
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
In Market segmentation by types :
RAM <4GB
RAM 4~8 GB
RAM 8~12GB
RAM >12GB
In Market segmentation by applications :
Personal Computers,
Workstations
Game Consoles
The research provides answers to the following key questions:
• What is the estimated growth rate and Market share and size of the GPU for Deep Learning Market for the forecast period 2023-2030?
• What are the driving forces in the GPU for Deep Learning Market for the forecast period 2023-2030?
• Who are the prominent Market players and how have they gained a competitive edge over other competitors?
• What are the Market trends influencing the progress of the GPU for Deep Learning industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the Market hold for the prominent Market players? Any special requirements about this report, please let us know and we can provide custom report.
Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.
Table of Contents
1 Report Overview
1.1 Research Scope
1.2 Major Manufacturers Covered in This Report
1.3 Market Segment by Type
1.3.1 Global GPU for Deep Learning Market Size Growth Rate by Type (2020-2030)
1.3.2 RAM <4GB
1.3.3 RAM 4~8 GB
1.3.4 RAM 8~12GB
1.3.5 RAM >12GB
1.4 Market Segment by Application
1.4.1 Global GPU for Deep Learning Market Share by Application (2020-2030)
1.4.2 Personal Computers,
1.4.3 Workstations
1.4.4 Game Consoles
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Production and Capacity Analysis
2.1.1 Global GPU for Deep Learning Production Value 2015-2030
2.1.2 Global GPU for Deep Learning Production 2015-2030
2.1.3 Global GPU for Deep Learning Capacity 2015-2030
2.1.4 Global GPU for Deep Learning Marketing Pricing and Trends
2.2 Key Producers Growth Rate (CAGR) 2020-2030
2.2.1 Global GPU for Deep Learning Market Size CAGR of Key Regions
2.2.2 Global GPU for Deep Learning Market Share of Key Regions
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
3 Market Share by Manufacturers
3.1 Capacity and Production by Manufacturers
3.1.1 Global GPU for Deep Learning Capacity by Manufacturers
3.1.2 Global GPU for Deep Learning Production by Manufacturers
3.2 Revenue by Manufacturers
3.2.1 GPU for Deep Learning Revenue by Manufacturers (2018 - 2022)
3.2.2 GPU for Deep Learning Revenue Share by Manufacturers (2018 - 2022)
3.2.3 Global GPU for Deep Learning Market Concentration Ratio (CR5 and HHI)
3.3 GPU for Deep Learning Price by Manufacturers
3.4 Key Manufacturers GPU for Deep Learning Plants/Factories Distribution and Area Served
3.5 Date of Key Manufacturers Enter into GPU for Deep Learning Market
3.6 Key Manufacturers GPU for Deep Learning Product Offered
3.7 Mergers & Acquisitions, Expansion Plans
4 Market Size by Type
4.1 Production and Production Value for Each Type
4.1.1 RAM <4GB Production and Production Value (2018 - 2022)
4.1.2 RAM 4~8 GB Production and Production Value (2018 - 2022)
4.1.3 RAM 8~12GB Production and Production Value (2018 - 2022)
4.1.4 RAM >12GB Production and Production Value (2018 - 2022)
4.2 Global GPU for Deep Learning Production Market Share by Type
4.3 Global GPU for Deep Learning Production Value Market Share by Type
4.4 GPU for Deep Learning Ex-factory Price by Type
5 Market Size by Application
5.1 Overview
5.2 Global GPU for Deep Learning Consumption by Application
6 Production by Regions
6.1 Global GPU for Deep Learning Production (History Data) by Regions 2018 - 2022
6.2 Global GPU for Deep Learning Production Value (History Data) by Regions
6.3 United States
6.3.1 United States GPU for Deep Learning Production Growth Rate 2018 - 2022
6.3.2 United States GPU for Deep Learning Production Value Growth Rate 2018 - 2022
6.3.3 Key Players in United States
6.3.4 United States GPU for Deep Learning Import & Export
6.4 European Union
6.4.1 European Union GPU for Deep Learning Production Growth Rate 2018 - 2022
6.4.2 European Union GPU for Deep Learning Production Value Growth Rate 2018 - 2022
6.4.3 Key Players in European Union
6.4.4 European Union GPU for Deep Learning Import & Export
6.5 China
6.5.1 China GPU for Deep Learning Production Growth Rate 2018 - 2022
6.5.2 China GPU for Deep Learning Production Value Growth Rate 2018 - 2022
6.5.3 Key Players in China
6.5.4 China GPU for Deep Learning Import & Export
6.6 Rest of World
6.6.1 Japan
6.6.2 Korea
6.6.3 India
6.6.4 Southeast Asia
7 GPU for Deep Learning Consumption by Regions
7.1 Global GPU for Deep Learning Consumption (History Data) by Regions
7.2 United States
7.2.1 United States GPU for Deep Learning Consumption by Type
7.2.2 United States GPU for Deep Learning Consumption by Application
7.3 European Union
7.3.1 European Union GPU for Deep Learning Consumption by Type
7.3.2 European Union GPU for Deep Learning Consumption by Application
7.4 China
7.4.1 China GPU for Deep Learning Consumption by Type
7.4.2 China GPU for Deep Learning Consumption by Application
7.5 Rest of World
7.5.1 Rest of World GPU for Deep Learning Consumption by Type
7.5.2 Rest of World GPU for Deep Learning Consumption by Application
7.5.1 Japan
7.5.2 Korea
7.5.3 India
7.5.4 Southeast Asia
8 Company Profiles
8.1 Nvidia
8.1.1 Nvidia Company Details
8.1.2 Company Description and Business Overview
8.1.3 Production and Revenue of GPU for Deep Learning
8.1.4 GPU for Deep Learning Product Introduction
8.1.5 Nvidia Recent Development
8.2 AMD
8.2.1 AMD Company Details
8.2.2 Company Description and Business Overview
8.2.3 Production and Revenue of GPU for Deep Learning
8.2.4 GPU for Deep Learning Product Introduction
8.2.5 AMD Recent Development
8.3 Intel
8.3.1 Intel Company Details
8.3.2 Company Description and Business Overview
8.3.3 Production and Revenue of GPU for Deep Learning
8.3.4 GPU for Deep Learning Product Introduction
8.3.5 Intel Recent Development
9 Market Forecast
9.1 Global Market Size Forecast
9.1.1 Global GPU for Deep Learning Capacity, Production Forecast 2020-2030
9.1.2 Global GPU for Deep Learning Production Value Forecast 2020-2030
9.2 Market Forecast by Regions
9.2.1 Global GPU for Deep Learning Production and Value Forecast by Regions 2020-2030
9.2.2 Global GPU for Deep Learning Consumption Forecast by Regions 2020-2030
9.3 United States
9.3.1 Production and Value Forecast in United States
9.3.2 Consumption Forecast in United States
9.4 European Union
9.4.1 Production and Value Forecast in European Union
9.4.2 Consumption Forecast in European Union
9.5 China
9.5.1 Production and Value Forecast in China
9.5.2 Consumption Forecast in China
9.6 Rest of World
9.6.1 Japan
9.6.2 Korea
9.6.3 India
9.6.4 Southeast Asia
9.7 Forecast by Type
9.7.1 Global GPU for Deep Learning Production Forecast by Type
9.7.2 Global GPU for Deep Learning Production Value Forecast by Type
9.8 Consumption Forecast by Application
10 Value Chain and Sales Channels Analysis
10.1 Value Chain Analysis
10.2 Sales Channels Analysis
10.2.1 GPU for Deep Learning Sales Channels
10.2.2 GPU for Deep Learning Distributors
10.3 GPU for Deep Learning Customers
11 Opportunities & Challenges, Threat and Affecting Factors
11.1 Market Opportunities
11.2 Market Challenges
11.3 Porters Five Forces Analysis
12 Key Findings
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
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