- call +1-201-465-4211
- email sales@mrinsights.biz
Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.
Scope of the Report:
The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.
The global Deep Learning Chipsets market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Deep Learning Chipsets.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
This report studies the Deep Learning Chipsets market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Deep Learning Chipsets market by product type and applications/end industries.
Market Segment by Companies, this report covers
Intel
Xilinx
AMD
NVIDIA
ARM
Qualcomm
IBM
Graphcore
BrainChip
Mobileye
Wave Computing
CEVA
Movidius
Nervana Systems
Amazon
Cerebras Systems
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
CPUs
GPUs
FPGAs
ASICs
SoC Accelerators
Others
Market Segment by Applications, can be divided into
Automotive
Smart Cameras
Robots
Drones
Mobile Phones
Others
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
1 Deep Learning Chipsets Market Overview
1.1 Product Overview and Scope of Deep Learning Chipsets
1.2 Classification of Deep Learning Chipsets by Types
1.2.1 Global Deep Learning Chipsets Revenue Comparison by Types (2017-2023)
1.2.2 Global Deep Learning Chipsets Revenue Market Share by Types in 2017
1.2.3 CPUs
1.2.4 GPUs
1.2.5 FPGAs
1.2.6 ASICs
1.2.7 SoC Accelerators
1.2.8 Others
1.3 Global Deep Learning Chipsets Market by Application
1.3.1 Global Deep Learning Chipsets Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 Automotive
1.3.3 Smart Cameras
1.3.4 Robots
1.3.5 Drones
1.3.6 Mobile Phones
1.3.7 Others
1.4 Global Deep Learning Chipsets Market by Regions
1.4.1 Global Deep Learning Chipsets Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Deep Learning Chipsets Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Deep Learning Chipsets Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Deep Learning Chipsets Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Deep Learning Chipsets Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Deep Learning Chipsets Status and Prospect (2013-2023)
1.5 Global Market Size of Deep Learning Chipsets (2013-2023)
2 Manufacturers Profiles
2.1 Google
2.1.1 Business Overview
2.1.2 Deep Learning Chipsets Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 Google Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.2 Intel
2.2.1 Business Overview
2.2.2 Deep Learning Chipsets Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Intel Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.3 Xilinx
2.3.1 Business Overview
2.3.2 Deep Learning Chipsets Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Xilinx Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.4 AMD
2.4.1 Business Overview
2.4.2 Deep Learning Chipsets Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 AMD Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.5 NVIDIA
2.5.1 Business Overview
2.5.2 Deep Learning Chipsets Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 NVIDIA Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.6 ARM
2.6.1 Business Overview
2.6.2 Deep Learning Chipsets Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 ARM Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.7 Qualcomm
2.7.1 Business Overview
2.7.2 Deep Learning Chipsets Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Qualcomm Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.8 IBM
2.8.1 Business Overview
2.8.2 Deep Learning Chipsets Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 IBM Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.9 Graphcore
2.9.1 Business Overview
2.9.2 Deep Learning Chipsets Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 Graphcore Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.10 BrainChip
2.10.1 Business Overview
2.10.2 Deep Learning Chipsets Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 BrainChip Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.11 Mobileye
2.11.1 Business Overview
2.11.2 Deep Learning Chipsets Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 Mobileye Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.12 Wave Computing
2.12.1 Business Overview
2.12.2 Deep Learning Chipsets Type and Applications
2.12.2.1 Product A
2.12.2.2 Product B
2.12.3 Wave Computing Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.13 CEVA
2.13.1 Business Overview
2.13.2 Deep Learning Chipsets Type and Applications
2.13.2.1 Product A
2.13.2.2 Product B
2.13.3 CEVA Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.14 Movidius
2.14.1 Business Overview
2.14.2 Deep Learning Chipsets Type and Applications
2.14.2.1 Product A
2.14.2.2 Product B
2.14.3 Movidius Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.15 Nervana Systems
2.15.1 Business Overview
2.15.2 Deep Learning Chipsets Type and Applications
2.15.2.1 Product A
2.15.2.2 Product B
2.15.3 Nervana Systems Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.16 Amazon
2.16.1 Business Overview
2.16.2 Deep Learning Chipsets Type and Applications
2.16.2.1 Product A
2.16.2.2 Product B
2.16.3 Amazon Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.17 Cerebras Systems
2.17.1 Business Overview
2.17.2 Deep Learning Chipsets Type and Applications
2.17.2.1 Product A
2.17.2.2 Product B
2.17.3 Cerebras Systems Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
2.18 Facebook
2.18.1 Business Overview
2.18.2 Deep Learning Chipsets Type and Applications
2.18.2.1 Product A
2.18.2.2 Product B
2.18.3 Facebook Deep Learning Chipsets Revenue, Gross Margin and Market Share (2016-2017)
3 Global Deep Learning Chipsets Market Competition, by Players
3.1 Global Deep Learning Chipsets Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 Deep Learning Chipsets Players Market Share
3.2.2 Top 10 Deep Learning Chipsets Players Market Share
3.3 Market Competition Trend
4 Global Deep Learning Chipsets Market Size by Regions
4.1 Global Deep Learning Chipsets Revenue and Market Share by Regions
4.2 North America Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
4.3 Europe Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
4.5 South America Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
5 North America Deep Learning Chipsets Revenue by Countries
5.1 North America Deep Learning Chipsets Revenue by Countries (2013-2018)
5.2 USA Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
5.3 Canada Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
5.4 Mexico Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
6 Europe Deep Learning Chipsets Revenue by Countries
6.1 Europe Deep Learning Chipsets Revenue by Countries (2013-2018)
6.2 Germany Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
6.3 UK Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
6.4 France Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
6.5 Russia Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
6.6 Italy Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Deep Learning Chipsets Revenue by Countries
7.1 Asia-Pacific Deep Learning Chipsets Revenue by Countries (2013-2018)
7.2 China Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
7.3 Japan Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
7.4 Korea Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
7.5 India Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
8 South America Deep Learning Chipsets Revenue by Countries
8.1 South America Deep Learning Chipsets Revenue by Countries (2013-2018)
8.2 Brazil Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
8.3 Argentina Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
8.4 Colombia Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Deep Learning Chipsets by Countries
9.1 Middle East and Africa Deep Learning Chipsets Revenue by Countries (2013-2018)
9.2 Saudi Arabia Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
9.3 UAE Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
9.4 Egypt Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
9.5 Nigeria Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
9.6 South Africa Deep Learning Chipsets Revenue and Growth Rate (2013-2018)
10 Global Deep Learning Chipsets Market Segment by Type
10.1 Global Deep Learning Chipsets Revenue and Market Share by Type (2013-2018)
10.2 Global Deep Learning Chipsets Market Forecast by Type (2018-2023)
10.3 CPUs Revenue Growth Rate (2013-2023)
10.4 GPUs Revenue Growth Rate (2013-2023)
10.5 FPGAs Revenue Growth Rate (2013-2023)
10.6 ASICs Revenue Growth Rate (2013-2023)
10.7 SoC Accelerators Revenue Growth Rate (2013-2023)
10.8 Others Revenue Growth Rate (2013-2023)
11 Global Deep Learning Chipsets Market Segment by Application
11.1 Global Deep Learning Chipsets Revenue Market Share by Application (2013-2018)
11.2 Deep Learning Chipsets Market Forecast by Application (2018-2023)
11.3 Automotive Revenue Growth (2013-2018)
11.4 Smart Cameras Revenue Growth (2013-2018)
11.5 Robots Revenue Growth (2013-2018)
11.6 Drones Revenue Growth (2013-2018)
11.7 Mobile Phones Revenue Growth (2013-2018)
11.8 Others Revenue Growth (2013-2018)
12 Global Deep Learning Chipsets Market Size Forecast (2018-2023)
12.1 Global Deep Learning Chipsets Market Size Forecast (2018-2023)
12.2 Global Deep Learning Chipsets Market Forecast by Regions (2018-2023)
12.3 North America Deep Learning Chipsets Revenue Market Forecast (2018-2023)
12.4 Europe Deep Learning Chipsets Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Deep Learning Chipsets Revenue Market Forecast (2018-2023)
12.6 South America Deep Learning Chipsets Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Deep Learning Chipsets Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Deep Learning Chipsets Picture
Table Product Specifications of Deep Learning Chipsets
Table Global Deep Learning Chipsets and Revenue (Million USD) Market Split by P
ProactiveWe manage our resources 24/7 to identify issues and address them before they become problems
Quality & ReliabilityWe are committed to providing reliable and highly accurate data with an excellent quality control system
Global Outreach6 Major regions and 40+ countries level analysis accomplished
Competitive PricingOur pricing strategy is highly competitive in the market, without compensating on the quality and the timeline of project delivery
