Report Detail
Global Deep-Learning Computing Unit (DCU) Market Growth 2022-2028
- RnM4481349 |
- 09 August, 2022 |
- Global |
- 92 Pages |
- LPI(LP Information) |
- Electronics & Semiconductor
The global market for Deep-Learning Computing Unit (DCU) is estimated to increase from US$ million in 2021 to reach US$ million by 2028, exhibiting a CAGR of % during 2022-2028. Keeping in mind the uncertainties of COVID-19 and Russia-Ukraine War, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.
The APAC Deep-Learning Computing Unit (DCU) market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The United States Deep-Learning Computing Unit (DCU) market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The Europe Deep-Learning Computing Unit (DCU) market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
The China Deep-Learning Computing Unit (DCU) market is expected at value of US$ million in 2022 and grow at approximately % CAGR during 2022 and 2028.
Global key Deep-Learning Computing Unit (DCU) players cover NVIDIA, AMD, Intel, Google and Xilinx, etc. In terms of revenue, the global largest two companies occupy a share nearly % in 2021.
Report Coverage
This latest report provides a deep insight into the global Deep-Learning Computing Unit (DCU) market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, value chain analysis, etc.
This report aims to provide a comprehensive picture of the global Deep-Learning Computing Unit (DCU) market, with both quantitative and qualitative data, to help readers understand how the Deep-Learning Computing Unit (DCU) market scenario changed across the globe during the pandemic and Russia-Ukraine War.
The base year considered for analyses is 2021, while the market estimates and forecasts are given from 2022 to 2028. The market estimates are provided in terms of revenue in USD millions and volume in K Units.
Market Segmentation:
The study segments the Deep-Learning Computing Unit (DCU) market and forecasts the market size by Type (GPGPU, ASIC and FPGA), by Application (Business Computing and Big Data Analytics, Artificial Intelligence and Others,), and region (APAC, Americas, Europe, and Middle East & Africa).
Segmentation by type
GPGPU
ASIC
FPGA
Others
Segmentation by application
Business Computing and Big Data Analytics
Artificial Intelligence
Others
Segmentation by region
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Major companies covered
NVIDIA
AMD
Intel
Google
Xilinx
Hygon
Hisilicon
Cambricon Technologies
Iluvatar CoreX
Chapter Introduction
Chapter 1: Scope of Deep-Learning Computing Unit (DCU), Research Methodology, etc.
Chapter 2: Executive Summary, global Deep-Learning Computing Unit (DCU) market size (sales and revenue) and CAGR, Deep-Learning Computing Unit (DCU) market size by region, by type, by application, historical data from 2017 to 2022, and forecast to 2028.
Chapter 3: Deep-Learning Computing Unit (DCU) sales, revenue, average price, global market share, and industry ranking by company, 2017-2022
Chapter 4: Global Deep-Learning Computing Unit (DCU) sales and revenue by region and by country. Country specific data and market value analysis for the U.S., Canada, Europe, China, Japan, South Korea, Southeast Asia, India, Latin America and Middle East & Africa.
Chapter 5, 6, 7, 8: Americas, APAC, Europe, Middle East & Africa, sales segment by country, by type, and type.
Chapter 9: Analysis of the current market trends, market forecast, opportunities and economic trends that are affecting the future marketplace
Chapter 10: Manufacturing cost structure analysis
Chapter 11: Sales channel, distributors, and customers
Chapter 12: Global Deep-Learning Computing Unit (DCU) market size forecast by region, by country, by type, and application.
Chapter 13: Comprehensive company profiles of the leading players, including NVIDIA, AMD, Intel, Google, Xilinx, Hygon, Hisilicon, Cambricon Technologies and Iluvatar CoreX. etc.
Chapter 14: Research Findings and Conclusion
1 Scope of the Report
- 1.1 Market Introduction
- 1.2 Years Considered
- 1.3 Research Objectives
- 1.4 Market Research Methodology
- 1.5 Research Process and Data Source
- 1.6 Economic Indicators
- 1.7 Currency Considered
2 Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Deep-Learning Computing Unit (DCU) Annual Sales 2017-2028
- 2.1.2 World Current & Future Analysis for Deep-Learning Computing Unit (DCU) by Geographic Region, 2017, 2022 & 2028
- 2.1.3 World Current & Future Analysis for Deep-Learning Computing Unit (DCU) by Country/Region, 2017, 2022 & 2028
- 2.2 Deep-Learning Computing Unit (DCU) Segment by Type
- 2.2.1 GPGPU
- 2.2.2 ASIC
- 2.2.3 FPGA
- 2.2.4 Others
- 2.3 Deep-Learning Computing Unit (DCU) Sales by Type
- 2.3.1 Global Deep-Learning Computing Unit (DCU) Sales Market Share by Type (2017-2022)
- 2.3.2 Global Deep-Learning Computing Unit (DCU) Revenue and Market Share by Type (2017-2022)
- 2.3.3 Global Deep-Learning Computing Unit (DCU) Sale Price by Type (2017-2022)
- 2.4 Deep-Learning Computing Unit (DCU) Segment by Application
- 2.4.1 Business Computing and Big Data Analytics
- 2.4.2 Artificial Intelligence
- 2.4.3 Others
- 2.5 Deep-Learning Computing Unit (DCU) Sales by Application
- 2.5.1 Global Deep-Learning Computing Unit (DCU) Sale Market Share by Application (2017-2022)
- 2.5.2 Global Deep-Learning Computing Unit (DCU) Revenue and Market Share by Application (2017-2022)
- 2.5.3 Global Deep-Learning Computing Unit (DCU) Sale Price by Application (2017-2022)
3 Global Deep-Learning Computing Unit (DCU) by Company
- 3.1 Global Deep-Learning Computing Unit (DCU) Breakdown Data by Company
- 3.1.1 Global Deep-Learning Computing Unit (DCU) Annual Sales by Company (2020-2022)
- 3.1.2 Global Deep-Learning Computing Unit (DCU) Sales Market Share by Company (2020-2022)
- 3.2 Global Deep-Learning Computing Unit (DCU) Annual Revenue by Company (2020-2022)
- 3.2.1 Global Deep-Learning Computing Unit (DCU) Revenue by Company (2020-2022)
- 3.2.2 Global Deep-Learning Computing Unit (DCU) Revenue Market Share by Company (2020-2022)
- 3.3 Global Deep-Learning Computing Unit (DCU) Sale Price by Company
- 3.4 Key Manufacturers Deep-Learning Computing Unit (DCU) Producing Area Distribution, Sales Area, Product Type
- 3.4.1 Key Manufacturers Deep-Learning Computing Unit (DCU) Product Location Distribution
- 3.4.2 Players Deep-Learning Computing Unit (DCU) Products Offered
- 3.5 Market Concentration Rate Analysis
- 3.5.1 Competition Landscape Analysis
- 3.5.2 Concentration Ratio (CR3, CR5 and CR10) & (2020-2022)
- 3.6 New Products and Potential Entrants
- 3.7 Mergers & Acquisitions, Expansion
4 World Historic Review for Deep-Learning Computing Unit (DCU) by Geographic Region
- 4.1 World Historic Deep-Learning Computing Unit (DCU) Market Size by Geographic Region (2017-2022)
- 4.1.1 Global Deep-Learning Computing Unit (DCU) Annual Sales by Geographic Region (2017-2022)
- 4.1.2 Global Deep-Learning Computing Unit (DCU) Annual Revenue by Geographic Region
- 4.2 World Historic Deep-Learning Computing Unit (DCU) Market Size by Country/Region (2017-2022)
- 4.2.1 Global Deep-Learning Computing Unit (DCU) Annual Sales by Country/Region (2017-2022)
- 4.2.2 Global Deep-Learning Computing Unit (DCU) Annual Revenue by Country/Region
- 4.3 Americas Deep-Learning Computing Unit (DCU) Sales Growth
- 4.4 APAC Deep-Learning Computing Unit (DCU) Sales Growth
- 4.5 Europe Deep-Learning Computing Unit (DCU) Sales Growth
- 4.6 Middle East & Africa Deep-Learning Computing Unit (DCU) Sales Growth
5 Americas
- 5.1 Americas Deep-Learning Computing Unit (DCU) Sales by Country
- 5.1.1 Americas Deep-Learning Computing Unit (DCU) Sales by Country (2017-2022)
- 5.1.2 Americas Deep-Learning Computing Unit (DCU) Revenue by Country (2017-2022)
- 5.2 Americas Deep-Learning Computing Unit (DCU) Sales by Type
- 5.3 Americas Deep-Learning Computing Unit (DCU) Sales by Application
- 5.4 United States
- 5.5 Canada
- 5.6 Mexico
- 5.7 Brazil
6 APAC
- 6.1 APAC Deep-Learning Computing Unit (DCU) Sales by Region
- 6.1.1 APAC Deep-Learning Computing Unit (DCU) Sales by Region (2017-2022)
- 6.1.2 APAC Deep-Learning Computing Unit (DCU) Revenue by Region (2017-2022)
- 6.2 APAC Deep-Learning Computing Unit (DCU) Sales by Type
- 6.3 APAC Deep-Learning Computing Unit (DCU) Sales by Application
- 6.4 China
- 6.5 Japan
- 6.6 South Korea
- 6.7 Southeast Asia
- 6.8 India
- 6.9 Australia
- 6.10 China Taiwan
7 Europe
- 7.1 Europe Deep-Learning Computing Unit (DCU) by Country
- 7.1.1 Europe Deep-Learning Computing Unit (DCU) Sales by Country (2017-2022)
- 7.1.2 Europe Deep-Learning Computing Unit (DCU) Revenue by Country (2017-2022)
- 7.2 Europe Deep-Learning Computing Unit (DCU) Sales by Type
- 7.3 Europe Deep-Learning Computing Unit (DCU) Sales by Application
- 7.4 Germany
- 7.5 France
- 7.6 UK
- 7.7 Italy
- 7.8 Russia
8 Middle East & Africa
- 8.1 Middle East & Africa Deep-Learning Computing Unit (DCU) by Country
- 8.1.1 Middle East & Africa Deep-Learning Computing Unit (DCU) Sales by Country (2017-2022)
- 8.1.2 Middle East & Africa Deep-Learning Computing Unit (DCU) Revenue by Country (2017-2022)
- 8.2 Middle East & Africa Deep-Learning Computing Unit (DCU) Sales by Type
- 8.3 Middle East & Africa Deep-Learning Computing Unit (DCU) Sales by Application
- 8.4 Egypt
- 8.5 South Africa
- 8.6 Israel
- 8.7 Turkey
- 8.8 GCC Countries
9 Market Drivers, Challenges and Trends
- 9.1 Market Drivers & Growth Opportunities
- 9.2 Market Challenges & Risks
- 9.3 Industry Trends
10 Manufacturing Cost Structure Analysis
- 10.1 Raw Material and Suppliers
- 10.2 Manufacturing Cost Structure Analysis of Deep-Learning Computing Unit (DCU)
- 10.3 Manufacturing Process Analysis of Deep-Learning Computing Unit (DCU)
- 10.4 Industry Chain Structure of Deep-Learning Computing Unit (DCU)
11 Marketing, Distributors and Customer
- 11.1 Sales Channel
- 11.1.1 Direct Channels
- 11.1.2 Indirect Channels
- 11.2 Deep-Learning Computing Unit (DCU) Distributors
- 11.3 Deep-Learning Computing Unit (DCU) Customer
12 World Forecast Review for Deep-Learning Computing Unit (DCU) by Geographic Region
- 12.1 Global Deep-Learning Computing Unit (DCU) Market Size Forecast by Region
- 12.1.1 Global Deep-Learning Computing Unit (DCU) Forecast by Region (2023-2028)
- 12.1.2 Global Deep-Learning Computing Unit (DCU) Annual Revenue Forecast by Region (2023-2028)
- 12.2 Americas Forecast by Country
- 12.3 APAC Forecast by Region
- 12.4 Europe Forecast by Country
- 12.5 Middle East & Africa Forecast by Country
- 12.6 Global Deep-Learning Computing Unit (DCU) Forecast by Type
- 12.7 Global Deep-Learning Computing Unit (DCU) Forecast by Application
13 Key Players Analysis
- 13.1 NVIDIA
- 13.1.1 NVIDIA Company Information
- 13.1.2 NVIDIA Deep-Learning Computing Unit (DCU) Product Offered
- 13.1.3 NVIDIA Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.1.4 NVIDIA Main Business Overview
- 13.1.5 NVIDIA Latest Developments
- 13.2 AMD
- 13.2.1 AMD Company Information
- 13.2.2 AMD Deep-Learning Computing Unit (DCU) Product Offered
- 13.2.3 AMD Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.2.4 AMD Main Business Overview
- 13.2.5 AMD Latest Developments
- 13.3 Intel
- 13.3.1 Intel Company Information
- 13.3.2 Intel Deep-Learning Computing Unit (DCU) Product Offered
- 13.3.3 Intel Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.3.4 Intel Main Business Overview
- 13.3.5 Intel Latest Developments
- 13.4 Google
- 13.4.1 Google Company Information
- 13.4.2 Google Deep-Learning Computing Unit (DCU) Product Offered
- 13.4.3 Google Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.4.4 Google Main Business Overview
- 13.4.5 Google Latest Developments
- 13.5 Xilinx
- 13.5.1 Xilinx Company Information
- 13.5.2 Xilinx Deep-Learning Computing Unit (DCU) Product Offered
- 13.5.3 Xilinx Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.5.4 Xilinx Main Business Overview
- 13.5.5 Xilinx Latest Developments
- 13.6 Hygon
- 13.6.1 Hygon Company Information
- 13.6.2 Hygon Deep-Learning Computing Unit (DCU) Product Offered
- 13.6.3 Hygon Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.6.4 Hygon Main Business Overview
- 13.6.5 Hygon Latest Developments
- 13.7 Hisilicon
- 13.7.1 Hisilicon Company Information
- 13.7.2 Hisilicon Deep-Learning Computing Unit (DCU) Product Offered
- 13.7.3 Hisilicon Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.7.4 Hisilicon Main Business Overview
- 13.7.5 Hisilicon Latest Developments
- 13.8 Cambricon Technologies
- 13.8.1 Cambricon Technologies Company Information
- 13.8.2 Cambricon Technologies Deep-Learning Computing Unit (DCU) Product Offered
- 13.8.3 Cambricon Technologies Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.8.4 Cambricon Technologies Main Business Overview
- 13.8.5 Cambricon Technologies Latest Developments
- 13.9 Iluvatar CoreX
- 13.9.1 Iluvatar CoreX Company Information
- 13.9.2 Iluvatar CoreX Deep-Learning Computing Unit (DCU) Product Offered
- 13.9.3 Iluvatar CoreX Deep-Learning Computing Unit (DCU) Sales, Revenue, Price and Gross Margin (2020-2022)
- 13.9.4 Iluvatar CoreX Main Business Overview
- 13.9.5 Iluvatar CoreX Latest Developments
14 Research Findings and Conclusion
Summary:
Get latest Market Research Reports on Deep-Learning Computing Unit (DCU). Industry analysis & Market Report on Deep-Learning Computing Unit (DCU) is a syndicated market report, published as Global Deep-Learning Computing Unit (DCU) Market Growth 2022-2028. It is complete Research Study and Industry Analysis of Deep-Learning Computing Unit (DCU) market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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