Report Detail
Global Deep Learning Chipset Market Insights, Forecast to 2025
- RnM2440369 |
- 22 March, 2019 |
- Global |
- 117 Pages |
- QYResearch |
- Electronics & Semiconductor
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.
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.
Deep Learning Chipset technology is not mature now, and new enterprises can not surpass existing famous brands on reputation or design in the short term. So, the study group recommends the new entrants need to be considered carefully before enter into this field.
The Deep Learning Chipset market was valued at 870 Million US$ in 2018 and is projected to reach 10900 Million US$ by 2025, at a CAGR of 37.1% during the forecast period. In this study, 2018 has been considered as the base year and 2019 to 2025 as the forecast period to estimate the market size for Deep Learning Chipset.
This report presents the worldwide Deep Learning Chipset market size (value, production and consumption), splits the breakdown (data status 2014-2019 and forecast to 2025), by manufacturers, region, type and application.
This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.
The following manufacturers are covered in this report:
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Deep Learning Chipset Breakdown Data by Type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Deep Learning Chipset Breakdown Data by Application
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Deep Learning Chipset Production by Region
United States
Europe
China
Japan
South Korea
Other Regions
Deep Learning Chipset Consumption by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
India
Japan
South Korea
Australia
Indonesia
Malaysia
Philippines
Thailand
Vietnam
Europe
Germany
France
UK
Italy
Russia
Rest of Europe
Central & South America
Brazil
Rest of South America
Middle East & Africa
GCC Countries
Turkey
Egypt
South Africa
Rest of Middle East & Africa
The study objectives are:
To analyze and research the global Deep Learning Chipset status and future forecast，involving, production, revenue, consumption, historical and forecast.
To present the key Deep Learning Chipset manufacturers, production, revenue, market share, and recent development.
To split the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
In this study, the years considered to estimate the market size of Deep Learning Chipset :
History Year: 2014 - 2018
Base Year: 2018
Estimated Year: 2019
Forecast Year: 2019 - 2025
This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Deep Learning Chipset market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Table of Contents
1 Study Coverage
- 1.1 Deep Learning Chipset Product
- 1.2 Key Market Segments in This Study
- 1.3 Key Manufacturers Covered
- 1.4 Market by Type
- 1.4.1 Global Deep Learning Chipset Market Size Growth Rate by Type
- 1.4.2 Graphics Processing Units (GPUs)
- 1.4.3 Central Processing Units (CPUs)
- 1.4.4 Application Specific Integrated Circuits (ASICs)
- 1.4.5 Field Programmable Gate Arrays (FPGAs)
- 1.4.6 Others
- 1.5 Market by Application
- 1.5.1 Global Deep Learning Chipset Market Size Growth Rate by Application
- 1.5.2 Consumer
- 1.5.3 Aerospace, Military & Defense
- 1.5.4 Automotive
- 1.5.5 Industrial
- 1.5.6 Medical
- 1.5.7 Others
- 1.6 Study Objectives
- 1.7 Years Considered
2 Executive Summary
- 2.1 Global Deep Learning Chipset Market Size
- 2.1.1 Global Deep Learning Chipset Revenue 2014-2025
- 2.1.2 Global Deep Learning Chipset Production 2014-2025
- 2.2 Deep Learning Chipset Growth Rate (CAGR) 2019-2025
- 2.3 Analysis of Competitive Landscape
- 2.3.1 Manufacturers Market Concentration Ratio (CR5 and HHI)
- 2.3.2 Key Deep Learning Chipset Manufacturers
- 2.3.2.1 Deep Learning Chipset Manufacturing Base Distribution, Headquarters
- 2.3.2.2 Manufacturers Deep Learning Chipset Product Offered
- 2.3.2.3 Date of Manufacturers Enter into Deep Learning Chipset Market
- 2.4 Key Trends for Deep Learning Chipset Markets & Products
3 Market Size by Manufacturers
- 3.1 Deep Learning Chipset Production by Manufacturers
- 3.1.1 Deep Learning Chipset Production by Manufacturers
- 3.1.2 Deep Learning Chipset Production Market Share by Manufacturers
- 3.2 Deep Learning Chipset Revenue by Manufacturers
- 3.2.1 Deep Learning Chipset Revenue by Manufacturers (2014-2019)
- 3.2.2 Deep Learning Chipset Revenue Share by Manufacturers (2014-2019)
- 3.3 Deep Learning Chipset Price by Manufacturers
- 3.4 Mergers & Acquisitions, Expansion Plans
4 Deep Learning Chipset Production by Regions
- 4.1 Global Deep Learning Chipset Production by Regions
- 4.1.1 Global Deep Learning Chipset Production Market Share by Regions
- 4.1.2 Global Deep Learning Chipset Revenue Market Share by Regions
- 4.2 United States
- 4.2.1 United States Deep Learning Chipset Production
- 4.2.2 United States Deep Learning Chipset Revenue
- 4.2.3 Key Players in United States
- 4.2.4 United States Deep Learning Chipset Import & Export
- 4.3 Europe
- 4.3.1 Europe Deep Learning Chipset Production
- 4.3.2 Europe Deep Learning Chipset Revenue
- 4.3.3 Key Players in Europe
- 4.3.4 Europe Deep Learning Chipset Import & Export
- 4.4 China
- 4.4.1 China Deep Learning Chipset Production
- 4.4.2 China Deep Learning Chipset Revenue
- 4.4.3 Key Players in China
- 4.4.4 China Deep Learning Chipset Import & Export
- 4.5 Japan
- 4.5.1 Japan Deep Learning Chipset Production
- 4.5.2 Japan Deep Learning Chipset Revenue
- 4.5.3 Key Players in Japan
- 4.5.4 Japan Deep Learning Chipset Import & Export
- 4.6 South Korea
- 4.6.1 South Korea Deep Learning Chipset Production
- 4.6.2 South Korea Deep Learning Chipset Revenue
- 4.6.3 Key Players in South Korea
- 4.6.4 South Korea Deep Learning Chipset Import & Export
- 4.7 Other Regions
- 4.7.1 Taiwan
- 4.7.2 India
- 4.7.3 Southeast Asia
5 Deep Learning Chipset Consumption by Regions
- 5.1 Global Deep Learning Chipset Consumption by Regions
- 5.1.1 Global Deep Learning Chipset Consumption by Regions
- 5.1.2 Global Deep Learning Chipset Consumption Market Share by Regions
- 5.2 North America
- 5.2.1 North America Deep Learning Chipset Consumption by Application
- 5.2.2 North America Deep Learning Chipset Consumption by Countries
- 5.2.3 United States
- 5.2.4 Canada
- 5.2.5 Mexico
- 5.3 Europe
- 5.3.1 Europe Deep Learning Chipset Consumption by Application
- 5.3.2 Europe Deep Learning Chipset Consumption by Countries
- 5.3.3 Germany
- 5.3.4 France
- 5.3.5 UK
- 5.3.6 Italy
- 5.3.7 Russia
- 5.4 Asia Pacific
- 5.4.1 Asia Pacific Deep Learning Chipset Consumption by Application
- 5.4.2 Asia Pacific Deep Learning Chipset Consumption by Countries
- 5.4.3 China
- 5.4.4 Japan
- 5.4.5 South Korea
- 5.4.6 India
- 5.4.7 Australia
- 5.4.8 Indonesia
- 5.4.9 Thailand
- 5.4.10 Malaysia
- 5.4.11 Philippines
- 5.4.12 Vietnam
- 5.5 Central & South America
- 5.5.1 Central & South America Deep Learning Chipset Consumption by Application
- 5.5.2 Central & South America Deep Learning Chipset Consumption by Country
- 5.5.3 Brazil
- 5.6 Middle East and Africa
- 5.6.1 Middle East and Africa Deep Learning Chipset Consumption by Application
- 5.6.2 Middle East and Africa Deep Learning Chipset Consumption by Countries
- 5.6.3 GCC Countries
- 5.6.4 Egypt
- 5.6.5 South Africa
6 Market Size by Type
- 6.1 Global Deep Learning Chipset Production by Type
- 6.2 Global Deep Learning Chipset Revenue by Type
- 6.3 Deep Learning Chipset Price by Type
7 Market Size by Application
- 7.1 Overview
- 7.2 Global Deep Learning Chipset Breakdown Dada by Application
- 7.2.1 Global Deep Learning Chipset Consumption by Application
- 7.2.2 Global Deep Learning Chipset Consumption Market Share by Application (2014-2019)
8 Manufacturers Profiles
- 8.1 NVIDIA
- 8.1.1 NVIDIA Company Details
- 8.1.2 Company Overview
- 8.1.3 NVIDIA Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.1.4 NVIDIA Deep Learning Chipset Product Description
- 8.1.5 NVIDIA Recent Development
- 8.2 Intel
- 8.2.1 Intel Company Details
- 8.2.2 Company Overview
- 8.2.3 Intel Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.2.4 Intel Deep Learning Chipset Product Description
- 8.2.5 Intel Recent Development
- 8.3 IBM
- 8.3.1 IBM Company Details
- 8.3.2 Company Overview
- 8.3.3 IBM Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.3.4 IBM Deep Learning Chipset Product Description
- 8.3.5 IBM Recent Development
- 8.4 Qualcomm
- 8.4.1 Qualcomm Company Details
- 8.4.2 Company Overview
- 8.4.3 Qualcomm Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.4.4 Qualcomm Deep Learning Chipset Product Description
- 8.4.5 Qualcomm Recent Development
- 8.5 CEVA
- 8.5.1 CEVA Company Details
- 8.5.2 Company Overview
- 8.5.3 CEVA Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.5.4 CEVA Deep Learning Chipset Product Description
- 8.5.5 CEVA Recent Development
- 8.6 KnuEdge
- 8.6.1 KnuEdge Company Details
- 8.6.2 Company Overview
- 8.6.3 KnuEdge Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.6.4 KnuEdge Deep Learning Chipset Product Description
- 8.6.5 KnuEdge Recent Development
- 8.7 AMD
- 8.7.1 AMD Company Details
- 8.7.2 Company Overview
- 8.7.3 AMD Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.7.4 AMD Deep Learning Chipset Product Description
- 8.7.5 AMD Recent Development
- 8.8 Xilinx
- 8.8.1 Xilinx Company Details
- 8.8.2 Company Overview
- 8.8.3 Xilinx Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.8.4 Xilinx Deep Learning Chipset Product Description
- 8.8.5 Xilinx Recent Development
- 8.9 ARM
- 8.9.1 ARM Company Details
- 8.9.2 Company Overview
- 8.9.3 ARM Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.9.4 ARM Deep Learning Chipset Product Description
- 8.9.5 ARM Recent Development
- 8.10 Google
- 8.10.1 Google Company Details
- 8.10.2 Company Overview
- 8.10.3 Google Deep Learning Chipset Production Revenue and Gross Margin (2014-2019)
- 8.10.4 Google Deep Learning Chipset Product Description
- 8.10.5 Google Recent Development
- 8.11 Graphcore
- 8.12 TeraDeep
- 8.13 Wave Computing
- 8.14 BrainChip
9 Production Forecasts
- 9.1 Deep Learning Chipset Production and Revenue Forecast
- 9.1.1 Global Deep Learning Chipset Production Forecast 2019-2025
- 9.1.2 Global Deep Learning Chipset Revenue Forecast 2019-2025
- 9.2 Deep Learning Chipset Production and Revenue Forecast by Regions
- 9.2.1 Global Deep Learning Chipset Revenue Forecast by Regions
- 9.2.2 Global Deep Learning Chipset Production Forecast by Regions
- 9.3 Deep Learning Chipset Key Producers Forecast
- 9.3.1 United States
- 9.3.2 Europe
- 9.3.3 China
- 9.3.4 Japan
- 9.3.5 South Korea
- 9.4 Forecast by Type
- 9.4.1 Global Deep Learning Chipset Production Forecast by Type
- 9.4.2 Global Deep Learning Chipset Revenue Forecast by Type
10 Consumption Forecast
- 10.1 Deep Learning Chipset Consumption Forecast by Application
- 10.2 Deep Learning Chipset Consumption Forecast by Regions
- 10.3 North America Market Consumption Forecast
- 10.3.1 North America Deep Learning Chipset Consumption Forecast by Regions 2019-2025
- 10.3.2 United States
- 10.3.3 Canada
- 10.3.4 Mexico
- 10.4 Europe Market Consumption Forecast
- 10.4.1 Europe Deep Learning Chipset Consumption Forecast by Regions 2019-2025
- 10.4.2 Germany
- 10.4.3 France
- 10.4.4 UK
- 10.4.5 Italy
- 10.4.6 Russia
- 10.5 Asia Pacific Market Consumption Forecast
- 10.5.1 Asia Pacific Deep Learning Chipset Consumption Forecast by Regions 2019-2025
- 10.5.2 China
- 10.5.3 Japan
- 10.5.4 South Korea
- 10.5.5 India
- 10.5.6 Australia
- 10.5.7 Indonesia
- 10.5.8 Thailand
- 10.5.9 Malaysia
- 10.5.10 Philippines
- 10.5.11 Vietnam
- 10.6 Central & South America Market Consumption Forecast
- 10.6.1 Central & South America Deep Learning Chipset Consumption Forecast by Regions 2019-2025
- 10.6.2 Brazil
- 10.7 Middle East and Africa Market Consumption Forecast
- 10.7.1 Middle East and Africa Deep Learning Chipset Consumption Forecast by Regions 2019-2025
- 10.7.2 GCC Countries
- 10.7.3 Egypt
- 10.7.4 South Africa
11 Value Chain and Sales Channels Analysis
- 11.1 Value Chain Analysis
- 11.2 Sales Channels Analysis
- 11.2.1 Deep Learning Chipset Sales Channels
- 11.2.2 Deep Learning Chipset Distributors
- 11.3 Deep Learning Chipset Customers
12 Market Opportunities & Challenges, Risks and Influences Factors Analysis
- 12.1 Market Opportunities and Drivers
- 12.2 Market Challenges
- 12.3 Market Risks/Restraints
13 Key Findings in the Global Deep Learning Chipset Study
14 Appendix
- 14.1 Research Methodology
- 14.1.1 Methodology/Research Approach
- 14.1.1.1 Research Programs/Design
- 14.1.1.2 Market Size Estimation
- 14.1.1.3 Market Breakdown and Data Triangulation
- 14.1.2 Data Source
- 14.1.2.1 Secondary Sources
- 14.1.2.2 Primary Sources
- 14.1.1 Methodology/Research Approach
- 14.2 Author Details
Summary:
Get latest Market Research Reports on Deep Learning Chipset . Industry analysis & Market Report on Deep Learning Chipset is a syndicated market report, published as Global Deep Learning Chipset Market Insights, Forecast to 2025. It is complete Research Study and Industry Analysis of Deep Learning Chipset market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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