Deep Learning Chipset Market Status and Trend Analysis 2017-2026
- Report Code : 99S2214702
- Published On: Dec, 2020
- Category : Internet Software & Services
- Pages : 109
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Summary
Further key aspects of the report indicate that:
Chapter 1: Research Scope: Product Definition, Type, End-Use & Methodology
Chapter 2: Global Industry Summary
Chapter 3: Market Dynamics
Chapter 4: Global Market Segmentation by region, type and End-Use
Chapter 5: North America Market Segmentation by region, type and End-Use
Chapter 6: Europe Market Segmentation by region, type and End-Use
Chapter 7: Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8: South America Market Segmentation by region, type and End-Use
Chapter 9: Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10: Market Competition by Companies
Chapter 11: Market forecast and environment forecast.
Chapter 12: Industry Summary.
The global Deep Learning Chipset market has the potential to grow with xx million USD with growing CAGR in the forecast period from 2021f to 2026f.
Based on the type of product, the global Deep Learning Chipset market segmented into
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Based on the end-use, the global Deep Learning Chipset market classified into
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Based on geography, the global Deep Learning Chipset market segmented into
North America [U.S., Canada, Mexico]
Europe [Germany, UK, France, Italy, Rest of Europe]
Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
South America [Brazil, Argentina, Rest of Latin America]
Middle East & Africa [GCC, North Africa, South Africa, Rest of Middle East and Africa]
And the major players included in the report are
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
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With tables and figures helping analyze worldwide Deep Learning Chipset market, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.
1 RESEARCH SCOPE1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL DEEP LEARNING CHIPSET INDUSTRY2.1 Summary about Deep Learning Chipset Industry
2.2 Deep Learning Chipset Market Trends
2.2.1 Deep Learning Chipset Production & Consumption Trends
2.2.2 Deep Learning Chipset Demand Structure Trends2.3 Deep Learning Chipset Cost & Price
3 MARKET DYNAMICS3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 Graphics Processing Units (GPUs)
4.2.2 Central Processing Units (CPUs)
4.2.3 Application Specific Integrated Circuits (ASICs)
4.2.4 Field Programmable Gate Arrays (FPGAs)
4.2.5 Others4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Consumer
4.3.2 Aerospace, Military & Defense
4.3.3 Automotive
4.3.4 Industrial
4.3.5 Medical
4.3.6 Others
5 NORTH AMERICA MARKET SEGMENT5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 Graphics Processing Units (GPUs)
5.2.2 Central Processing Units (CPUs)
5.2.3 Application Specific Integrated Circuits (ASICs)
5.2.4 Field Programmable Gate Arrays (FPGAs)
5.2.5 Others5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Consumer
5.3.2 Aerospace, Military & Defense
5.3.3 Automotive
5.3.4 Industrial
5.3.5 Medical
5.3.6 Others5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 Graphics Processing Units (GPUs)
6.2.2 Central Processing Units (CPUs)
6.2.3 Application Specific Integrated Circuits (ASICs)
6.2.4 Field Programmable Gate Arrays (FPGAs)
6.2.5 Others6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Consumer
6.3.2 Aerospace, Military & Defense
6.3.3 Automotive
6.3.4 Industrial
6.3.5 Medical
6.3.6 Others6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 Graphics Processing Units (GPUs)
7.2.2 Central Processing Units (CPUs)
7.2.3 Application Specific Integrated Circuits (ASICs)
7.2.4 Field Programmable Gate Arrays (FPGAs)
7.2.5 Others7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Consumer
7.3.2 Aerospace, Military & Defense
7.3.3 Automotive
7.3.4 Industrial
7.3.5 Medical
7.3.6 Others7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 Graphics Processing Units (GPUs)
8.2.2 Central Processing Units (CPUs)
8.2.3 Application Specific Integrated Circuits (ASICs)
8.2.4 Field Programmable Gate Arrays (FPGAs)
8.2.5 Others8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Consumer
8.3.2 Aerospace, Military & Defense
8.3.3 Automotive
8.3.4 Industrial
8.3.5 Medical
8.3.6 Others8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 Graphics Processing Units (GPUs)
9.2.2 Central Processing Units (CPUs)
9.2.3 Application Specific Integrated Circuits (ASICs)
9.2.4 Field Programmable Gate Arrays (FPGAs)
9.2.5 Others9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Consumer
9.3.2 Aerospace, Military & Defense
9.3.3 Automotive
9.3.4 Industrial
9.3.5 Medical
9.3.6 Others9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS10.1 Brief Introduction of Major Players
10.1.1 NVIDIA
10.1.2 Intel
10.1.3 IBM
10.1.4 Qualcomm
10.1.5 CEVA
10.1.6 KnuEdge
10.1.7 AMD
10.1.8 Xilinx
10.1.9 ARM
10.1.10 Google
10.1.11 Graphcore
10.1.12 TeraDeep
10.1.13 Wave Computing
10.1.14 BrainChip10.2 Deep Learning Chipset Sales Date of Major Players (2017-2020e)
10.2.1 NVIDIA
10.2.2 Intel
10.2.3 IBM
10.2.4 Qualcomm
10.2.5 CEVA
10.2.6 KnuEdge
10.2.7 AMD
10.2.8 Xilinx
10.2.9 ARM
10.2.10 Google
10.2.11 Graphcore
10.2.12 TeraDeep
10.2.13 Wave Computing
10.2.14 BrainChip10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT
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The Deep Learning Chipset Market has been segregated into various crucial divisions including applications, types, and regions. Each market segment is intensively studied in the report contemplating its market acceptance, worthiness, demand, and growth prospects. The segmentation analysis will help the client to customize their marketing approach to have a better command of each segment and to identify the most prospective customer base.
Report Objectives / Segmentation Covered :
By Companies / players:
By Regions:
By Type:
By Application:
Frequently asked questions(FAQ's):
As manufacturers prepare to scale up, Deep Learning Chipset companies must be clear and transparent about the impact of such volatility on the balance sheet.
From 2024 to 2029, the Deep Learning Chipset Market is expected to grow at a compound annual growth rate of YY%, reaching a value of USD XXX Million.
The value of the Deep Learning Chipset Market is estimated to be USD XXX million.
The latest version of the Deep Learning Chipset Market study includes a market size breakdown by relevant business segments, applications, and geography, as well as qualitative insights such as Patent Analysis*, Market Entropy, Key Development Activities, Market Dynamics, PEST and PORTER models, and more.
