Global Deep Learning Chipset Market Research Report 2021
Global Deep Learning Chipset Market Research Report 2021
Get latest Market Research Reports on Deep Learning Chipset. Industry analysis and Market Report on Deep Learning Chipset is a syndicated market report, published as Global Deep Learning Chipset Market Research Report . It is complete Research Study and Industry Analysis of Deep Learning Chipset market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market
Exclusive deal : 20% Instant discount on Direct purchases! Don't wait—claim your discount today!
Research Predicts that Deep Learning Chipset Market was valued USD xxxx unit in 2020 and is expected to reach USD xxxx Unit by the year 2025, growing at a CAGR of xx% globally.
Global Deep Learning Chipset Market Overview:
Global Deep Learning Chipset Market Report 2020 comes with the extensive industry analysis of development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2020-2025.This research study of Deep Learning Chipset involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Impact of COVID-19 on Deep Learning Chipset Market
Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affected the Deep Learning Chipset market in 2020.
Global Deep Learning Chipset Market Segmentation
By Type, Deep Learning Chipset market has been segmented into:
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
By Application, Deep Learning Chipset market has been segmented into:
Consumer
Aerospace
Military & Defense
Automotive
Industrial
Medical
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain etc.)
Asia-Pacific (China, India, Japan, Southeast Asia etc.)
South America (Brazil, Argentina etc.)
Middle East & Africa (Saudi Arabia, South Africa etc.)
Top Key Players Covered in Deep Learning Chipset market are:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
1. Market Overview of Deep Learning Chipset
1.1 Deep Learning Chipset Market Overview
1.1.1 Deep Learning Chipset Product Scope
1.1.2 Market Status and Outlook
1.2 Deep Learning Chipset Market Size by Regions: 2015 VS 2021 VS 2026
1.3 Deep Learning Chipset Historic Market Size by Regions (2015-2020)
1.4 Deep Learning Chipset Forecasted Market Size by Regions (2021-2026)
1.5 Covid-19 Impact on Key Regions, Keyword Market Size YoY Growth (2015-2026)
1.5.1 North America
1.5.2 East Asia
1.5.3 Europe
1.5.4 South Asia
1.5.5 Southeast Asia
1.5.6 Middle East
1.5.7 Africa
1.5.8 Oceania
1.5.9 South America
1.5.10 Rest of the World
1.6 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth
1.6.1 Covid-19 Impact: Global GDP Growth, 2019, 2020 and 2021 Projections
1.6.2 Covid-19 Impact: Commodity Prices Indices
1.6.3 Covid-19 Impact: Global Major Government Policy
2. Covid-19 Impact Deep Learning Chipset Sales Market by Type (2015-2026)
2.1 Global Deep Learning Chipset Historic Market Size by Type (2015-2020)
2.2 Global Deep Learning Chipset Forecasted Market Size by Type (2021-2026)
2.3 Graphics Processing Units (GPUs)
2.4 Central Processing Units (CPUs)
2.5 Application Specific Integrated Circuits (ASICs)
2.6 Field Programmable Gate Arrays (FPGAs)
2.7 Others
3. Covid-19 Impact Deep Learning Chipset Sales Market by Application (2015-2026)
3.1 Global Deep Learning Chipset Historic Market Size by Application (2015-2020)
3.2 Global Deep Learning Chipset Forecasted Market Size by Application (2021-2026)
3.3 Consumer
3.4 Aerospace
3.5 Military & Defense
3.6 Automotive
3.7 Industrial
3.8 Medical
3.9 Others
4. Covid-19 Impact Market Competition by Manufacturers
4.1 Global Deep Learning Chipset Production Capacity Market Share by Manufacturers (2015-2020)
4.2 Global Deep Learning Chipset Revenue Market Share by Manufacturers (2015-2020)
4.3 Global Deep Learning Chipset Average Price by Manufacturers (2015-2020)
5. Company Profiles and Key Figures in Deep Learning Chipset Business
5.1 NVIDIA
5.1.1 NVIDIA Company Profile
5.1.2 NVIDIA Deep Learning Chipset Product Specification
5.1.3 NVIDIA Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.2 Intel
5.2.1 Intel Company Profile
5.2.2 Intel Deep Learning Chipset Product Specification
5.2.3 Intel Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.3 IBM
5.3.1 IBM Company Profile
5.3.2 IBM Deep Learning Chipset Product Specification
5.3.3 IBM Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.4 Qualcomm
5.4.1 Qualcomm Company Profile
5.4.2 Qualcomm Deep Learning Chipset Product Specification
5.4.3 Qualcomm Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.5 CEVA
5.5.1 CEVA Company Profile
5.5.2 CEVA Deep Learning Chipset Product Specification
5.5.3 CEVA Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.6 KnuEdge
5.6.1 KnuEdge Company Profile
5.6.2 KnuEdge Deep Learning Chipset Product Specification
5.6.3 KnuEdge Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.7 AMD
5.7.1 AMD Company Profile
5.7.2 AMD Deep Learning Chipset Product Specification
5.7.3 AMD Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.8 Xilinx
5.8.1 Xilinx Company Profile
5.8.2 Xilinx Deep Learning Chipset Product Specification
5.8.3 Xilinx Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.9 ARM
5.9.1 ARM Company Profile
5.9.2 ARM Deep Learning Chipset Product Specification
5.9.3 ARM Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.10 Google
5.10.1 Google Company Profile
5.10.2 Google Deep Learning Chipset Product Specification
5.10.3 Google Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.11 Graphcore
5.11.1 Graphcore Company Profile
5.11.2 Graphcore Deep Learning Chipset Product Specification
5.11.3 Graphcore Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.12 TeraDeep
5.12.1 TeraDeep Company Profile
5.12.2 TeraDeep Deep Learning Chipset Product Specification
5.12.3 TeraDeep Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.13 Wave Computing
5.13.1 Wave Computing Company Profile
5.13.2 Wave Computing Deep Learning Chipset Product Specification
5.13.3 Wave Computing Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
5.14 BrainChip
5.14.1 BrainChip Company Profile
5.14.2 BrainChip Deep Learning Chipset Product Specification
5.14.3 BrainChip Deep Learning Chipset Production Capacity, Revenue, Price and Gross Margin (2015-2020)
6. North America
6.1 North America Deep Learning Chipset Market Size (2015-2026)
6.2 North America Deep Learning Chipset Key Players in North America (2015-2020)
6.3 North America Deep Learning Chipset Market Size by Type (2015-2020)
6.4 North America Deep Learning Chipset Market Size by Application (2015-2020)
7. East Asia
7.1 East Asia Deep Learning Chipset Market Size (2015-2026)
7.2 East Asia Deep Learning Chipset Key Players in North America (2015-2020)
7.3 East Asia Deep Learning Chipset Market Size by Type (2015-2020)
7.4 East Asia Deep Learning Chipset Market Size by Application (2015-2020)
8. Europe
8.1 Europe Deep Learning Chipset Market Size (2015-2026)
8.2 Europe Deep Learning Chipset Key Players in North America (2015-2020)
8.3 Europe Deep Learning Chipset Market Size by Type (2015-2020)
8.4 Europe Deep Learning Chipset Market Size by Application (2015-2020)
9. South Asia
9.1 South Asia Deep Learning Chipset Market Size (2015-2026)
9.2 South Asia Deep Learning Chipset Key Players in North America (2015-2020)
9.3 South Asia Deep Learning Chipset Market Size by Type (2015-2020)
9.4 South Asia Deep Learning Chipset Market Size by Application (2015-2020)
10. Southeast Asia
10.1 Southeast Asia Deep Learning Chipset Market Size (2015-2026)
10.2 Southeast Asia Deep Learning Chipset Key Players in North America (2015-2020)
10.3 Southeast Asia Deep Learning Chipset Market Size by Type (2015-2020)
10.4 Southeast Asia Deep Learning Chipset Market Size by Application (2015-2020)
11. Middle East
11.1 Middle East Deep Learning Chipset Market Size (2015-2026)
11.2 Middle East Deep Learning Chipset Key Players in North America (2015-2020)
11.3 Middle East Deep Learning Chipset Market Size by Type (2015-2020)
11.4 Middle East Deep Learning Chipset Market Size by Application (2015-2020)
12. Africa
12.1 Africa Deep Learning Chipset Market Size (2015-2026)
12.2 Africa Deep Learning Chipset Key Players in North America (2015-2020)
12.3 Africa Deep Learning Chipset Market Size by Type (2015-2020)
12.4 Africa Deep Learning Chipset Market Size by Application (2015-2020)
13. Oceania
13.1 Oceania Deep Learning Chipset Market Size (2015-2026)
13.2 Oceania Deep Learning Chipset Key Players in North America (2015-2020)
13.3 Oceania Deep Learning Chipset Market Size by Type (2015-2020)
13.4 Oceania Deep Learning Chipset Market Size by Application (2015-2020)
14. South America
14.1 South America Deep Learning Chipset Market Size (2015-2026)
14.2 South America Deep Learning Chipset Key Players in North America (2015-2020)
14.3 South America Deep Learning Chipset Market Size by Type (2015-2020)
14.4 South America Deep Learning Chipset Market Size by Application (2015-2020)
15. Rest of the World
15.1 Rest of the World Deep Learning Chipset Market Size (2015-2026)
15.2 Rest of the World Deep Learning Chipset Key Players in North America (2015-2020)
15.3 Rest of the World Deep Learning Chipset Market Size by Type (2015-2020)
15.4 Rest of the World Deep Learning Chipset Market Size by Application (2015-2020)
16 Deep Learning Chipset Market Dynamics
16.1 Covid-19 Impact Market Top Trends
16.2 Covid-19 Impact Market Drivers
16.3 Covid-19 Impact Market Challenges
16.4 Porter’s Five Forces Analysis
18 Regulatory Information
17 Analyst's Viewpoints/Conclusions
18 Appendix
18.1 Research Methodology
18.1.1 Methodology/Research Approach
18.1.2 Data Source
18.2 Disclaimer
Research Methodology:
Deep Learning Chipset Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
| Market Size |
|
|
| Market Position of Top Company |
|
|
| Qualitative Analysis |
|
|
Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
| Primary Sources | Parameters | Key Data |
| Market Segments(by Application, by Type) |
|
|
| Total Market |
|
|