Deep Learning Chipset Sales Market Report – Research, Industry Analysis Reports and Market Demands

Global Deep Learning Chipset Sales Market(Sales,Revenue and competitors Analysis of Major Market)from 2014-2026

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Table of Content

1 Executive Summary

1.1 Definition and Specification
1.2 Report Overview
- 1.2.1 Manufacturers Overview
- 1.2.2 Regions Overview
- 1.2.3 Type Overview
- 1.2.4 Application Overview
1.3 Industrial Chain
- 1.3.1 Deep Learning Chipset Overall Industrial Chain
- 1.3.2 Upstream
- 1.3.3 Downstream
1.4 Industry Situation
- 1.4.1 Industrial Policy
- 1.4.2 Product Preference
- 1.4.3 Economic/Political Environment
1.5 SWOT Analysis

2 Market Analysis by Types

2.1 Overall Market Performance(Volume)
- 2.1.1 Graphics Processing Units (GPUs)
- 2.1.2 Central Processing Units (CPUs)
- 2.1.3 Application Specific Integrated Circuits (ASICs)
- 2.1.4 Field Programmable Gate Arrays (FPGAs)
- 2.1.5 Others
2.2 Overall Market Performance(Value)
- 2.2.1 Graphics Processing Units (GPUs)
- 2.2.2 Central Processing Units (CPUs)
- 2.2.3 Application Specific Integrated Circuits (ASICs)
- 2.2.4 Field Programmable Gate Arrays (FPGAs)
- 2.2.5 Others

3 Product Application Market

3.1 Overall Market Performance (Volume)
- 3.1.1 Consumer
- 3.1.2 Aerospace, Military & Defense
- 3.1.3 Automotive
- 3.1.4 Industrial
- 3.1.5 Medical
- 3.1.6 Others

4 Manufacturers Profiles/Analysis

4.1 NVIDIA
- 4.1.1 NVIDIA Profiles
- 4.1.2 NVIDIA Product Information
- 4.1.3 NVIDIA Deep Learning Chipset Sales, Sales Value(Million USD), Price and Gross Profit
- 4.1.4 NVIDIA SWOT Analysis
4.2 Intel
- 4.2.1 Intel Profiles
- 4.2.2 Intel Product Information
- 4.2.3 Intel Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.2.4 Intel SWOT Analysis
4.3 IBM
- 4.3.1 IBM Profiles
- 4.3.2 IBM Product Information
- 4.3.3 IBM Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.3.4 IBM SWOT Analysis
4.4 Qualcomm
- 4.4.1 Qualcomm Profiles
- 4.4.2 Qualcomm Product Information
- 4.4.3 Qualcomm Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.4.4 Qualcomm SWOT Analysis
4.5 CEVA
- 4.5.1 CEVA Profiles
- 4.5.2 CEVA Product Information
- 4.5.3 CEVA Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.5.4 CEVA SWOT Analysis
4.6 KnuEdge
- 4.6.1 KnuEdge Profiles
- 4.6.2 KnuEdge Product Information
- 4.6.3 KnuEdge Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.6.4 KnuEdge SWOT Analysis
4.7 AMD
- 4.7.1 AMD Profiles
- 4.7.2 AMD Product Information
- 4.7.3 AMD Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.7.4 AMD SWOT Analysis
4.8 Xilinx
- 4.8.1 Xilinx Profiles
- 4.8.2 Xilinx Product Information
- 4.8.3 Xilinx Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.8.4 Xilinx SWOT Analysis
4.9 ARM
- 4.9.1 ARM Profiles
- 4.9.2 ARM Product Information
- 4.9.3 ARM Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.9.4 ARM SWOT Analysis
4.10 Google
- 4.10.1 Google Profiles
- 4.10.2 Google Product Information
- 4.10.3 Google Deep Learning ChipsetSales, Sales Value (Million USD), Price and Gross Profit
- 4.10.4 Google SWOT Analysis
4.11 Graphcore
4.12 TeraDeep
4.13 Wave Computing
4.14 BrainChip

5 Market Performance for Manufacturers

5.1 Global Deep Learning Chipset Sales (K Units) and Market Share by Manufacturers 2014-2020
5.2 Global Deep Learning Chipset Revenue (M USD) and Market Share by Manufacturers 2014-2020
5.3 Global Deep Learning Chipset Price (USD/Unit) of Manufacturers 2014-2020
5.4 Global Deep Learning Chipset Gross Margin of Manufacturers 2014-2020
5.5 Market Concentration

6 Regions Market Performance for Manufacturers

7 Global Deep Learning Chipset Market Assessment by Regions (2014-2020)

7.1 Global Deep Learning Chipset Sales (K Units) and Market Share by Regions 2014-2020
7.2 Global Deep Learning Chipset Revenue (M USD) and Market Share by Regions 2014-2020
7.3 Global Deep Learning Chipset Price (USD/Unit) by Regions 2014-2020
7.4 Global Deep Learning Chipset Gross Margin by Regions 2014-2020

8 Development Trend for Regions

8.1 Global Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.2 China Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.3 USA Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate2014-2020
8.4 Europe Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.5 Japan Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.6 Korea Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.7 India Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.8 Southeast Asia Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020
8.8 Southeast Asia Deep Learning Chipset Sales and Growth, Sales Value and Growth Rate 2014-2020

9 Upstream Source, Technology and Cost

9.1 Upstream Source
9.2 Technology
9.3 Cost

10 Channel Analysis

10.1 Market Channel
10.2 Manufacturing Plants Distribution

11 Consumer Analysis

11.1 Consumer Industry
11.2 Aerospace, Military & Defense Industry
11.3 Automotive Industry
11.4 Industrial Industry
11.5 Medical Industry
11.6 Others Industry

12 Market Forecast 2021-2026

12.1 Sales (K Units), Revenue (M USD), Market Share and Growth Rate 2021-2026
- 12.1.1 Global Deep Learning Chipset Sales (K Units), Revenue (M USD) and Market Share by Regions 2021-2026
- 12.1.2 Global Deep Learning Chipset Sales (K Units) and Growth Rate 2021-2026
- 12.1.3 China Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.4 USA Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.5 Europe Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.6 Japan Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.7 Korea Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.8 India Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.9 Southeast Asia Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
- 12.1.10 South America Deep Learning Chipset Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.2 Sales (K Units), Revenue (M USD) Forecast by Types 2021-2026
- 12.2.1 Overall Market Performance
- 12.2.2 Graphics Processing Units (GPUs)
- 12.2.3 Central Processing Units (CPUs)
- 12.2.4 Application Specific Integrated Circuits (ASICs)
- 12.2.5 Field Programmable Gate Arrays (FPGAs)
- 12.2.6 Others
12.3 Sales (K Units) Forecast by Application 2021-2026
- 12.3.1 Overall Market Performance
- 12.3.2 Consumer
- 12.3.3 Aerospace, Military & Defense
- 12.3.4 Automotive
- 12.3.5 Industrial
- 12.3.6 Medical
- 12.3.7 Others
12.4 Price (USD/Unit) and Gross Profit
- 12.4.1 Global Deep Learning Chipset Price (USD/Unit) Trend 2021-2026
- 12.4.2 Global Deep Learning Chipset Gross Profit Trend 2021-2026

13 Conclusion

Description

In this report, global Deep Learning Chipset Market will reach 12044.99 Million USD by the end of 2025 with a CAGR of 38.88%

The global Deep Learning Chipset market was valued at 870.56 Million USD in 2017 and will reach 12044.99 Million USD by the end of 2025, growing at a CAGR of 38.88% during 2017-2025.

Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.

Deep Learning Chipset can be divided into five categories: GPUs type, CPUs type, ASICs type, FPGAs type and other types. GPUs type accounted for the highest proportion in production market, with a figure of 79.68% in 2017, followed by CPUs type, account for 11.31% and ASICs type account for 6.56%. The chipset market today is led by graphics processing units (GPUs) and central processing units (CPUs), but during the coming years there will be an expanded role for other chipset types including application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), and other emerging chipsets.

United States has the largest global export quantity and manufacturers in Deep Learning Chipset market, while the EU is the second sales volume market for Deep Learning Chipset in 2016.

In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3. The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.

Geographically, this report split global into several key Regions, with sales (K Units), revenue (M USD), market share and growth rate of Deep Learning Chipset for these regions, from 2014 to 2026 (forecast), covering
China
USA
Europe
Japan
Korea
India
Southeast Asia
South America

Global Deep Learning Chipset market competition by top manufacturers/players, with Deep Learning Chipset sales volume, Price (USD/Unit), revenue (M USD) and market share for each manufacturer/player; the top players including
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate of Deep Learning Chipset for each application, including
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others

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