Table of Contents

2019-2024 Global Deep Learning Chipset Consumption Market Report

1 Scope of the Report

• 1.1 Market Introduction
• 1.2 Research Objectives
• 1.3 Years Considered
• 1.4 Market Research Methodology
• 1.5 Economic Indicators
• 1.6 Currency Considered

2 Executive Summary

• 2.1 World Market Overview
  • 2.1.1 Global Deep Learning Chipset Consumption 2014-2024
  • 2.1.2 Deep Learning Chipset Consumption CAGR by Region
• 2.2 Deep Learning Chipset Segment by Type
  • 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
• 2.3 Deep Learning Chipset Consumption by Type
  • 2.3.1 Global Deep Learning Chipset Consumption Market Share by Type (2014-2019)
  • 2.3.2 Global Deep Learning Chipset Revenue and Market Share by Type (2014-2019)
  • 2.3.3 Global Deep Learning Chipset Sale Price by Type (2014-2019)
• 2.4 Deep Learning Chipset Segment by Application
  • 2.4.1 Consumer
  • 2.4.2 Aerospace, Military & Defense
  • 2.4.3 Automotive
  • 2.4.4 Industrial
  • 2.4.5 Medical
  • 2.4.6 Others
• 2.5 Deep Learning Chipset Consumption by Application
  • 2.5.1 Global Deep Learning Chipset Consumption Market Share by Application (2014-2019)
  • 2.5.2 Global Deep Learning Chipset Value and Market Share by Application (2014-2019)
  • 2.5.3 Global Deep Learning Chipset Sale Price by Application (2014-2019)

3 Global Deep Learning Chipset by Players

• 3.1 Global Deep Learning Chipset Sales Market Share by Players
  • 3.1.1 Global Deep Learning Chipset Sales by Players (2017-2019)
  • 3.1.2 Global Deep Learning Chipset Sales Market Share by Players (2017-2019)
• 3.2 Global Deep Learning Chipset Revenue Market Share by Players
  • 3.2.1 Global Deep Learning Chipset Revenue by Players (2017-2019)
  • 3.2.2 Global Deep Learning Chipset Revenue Market Share by Players (2017-2019)
• 3.3 Global Deep Learning Chipset Sale Price by Players
• 3.4 Global Deep Learning Chipset Manufacturing Base Distribution, Sales Area, Product Types by Players
  • 3.4.1 Global Deep Learning Chipset Manufacturing Base Distribution and Sales Area by Players
  • 3.4.2 Players Deep Learning Chipset Products Offered
• 3.5 Market Concentration Rate Analysis
  • 3.5.1 Competition Landscape Analysis
  • 3.5.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
• 3.6 New Products and Potential Entrants
• 3.7 Mergers & Acquisitions, Expansion

4 Deep Learning Chipset by Regions

• 4.1 Deep Learning Chipset by Regions
  • 4.1.1 Global Deep Learning Chipset Consumption by Regions
  • 4.1.2 Global Deep Learning Chipset Value by Regions
• 4.2 Americas Deep Learning Chipset Consumption Growth
• 4.3 APAC Deep Learning Chipset Consumption Growth
• 4.4 Europe Deep Learning Chipset Consumption Growth
• 4.5 Middle East & Africa Deep Learning Chipset Consumption Growth

5 Americas

• 5.1 Americas Deep Learning Chipset Consumption by Countries
  • 5.1.1 Americas Deep Learning Chipset Consumption by Countries (2014-2019)
  • 5.1.2 Americas Deep Learning Chipset Value by Countries (2014-2019)
• 5.2 Americas Deep Learning Chipset Consumption by Type
• 5.3 Americas Deep Learning Chipset Consumption by Application
• 5.4 United States
• 5.5 Canada
• 5.6 Mexico
• 5.7 Key Economic Indicators of Few Americas Countries

6 APAC

• 6.1 APAC Deep Learning Chipset Consumption by Countries
  • 6.1.1 APAC Deep Learning Chipset Consumption by Countries (2014-2019)
  • 6.1.2 APAC Deep Learning Chipset Value by Countries (2014-2019)
• 6.2 APAC Deep Learning Chipset Consumption by Type
• 6.3 APAC Deep Learning Chipset Consumption by Application
• 6.4 China
• 6.5 Japan
• 6.6 Korea
• 6.7 Southeast Asia
• 6.8 India
• 6.9 Australia
• 6.10 Key Economic Indicators of Few APAC Countries

7 Europe

• 7.1 Europe Deep Learning Chipset by Countries
  • 7.1.1 Europe Deep Learning Chipset Consumption by Countries (2014-2019)
  • 7.1.2 Europe Deep Learning Chipset Value by Countries (2014-2019)
• 7.2 Europe Deep Learning Chipset Consumption by Type
• 7.3 Europe Deep Learning Chipset Consumption by Application
• 7.4 Germany
• 7.5 France
• 7.6 UK
• 7.7 Italy
• 7.8 Russia
• 7.9 Spain
• 7.10 Key Economic Indicators of Few Europe Countries

8 Middle East & Africa

• 8.1 Middle East & Africa Deep Learning Chipset by Countries
  • 8.1.1 Middle East & Africa Deep Learning Chipset Consumption by Countries (2014-2019)
  • 8.1.2 Middle East & Africa Deep Learning Chipset Value by Countries (2014-2019)
• 8.2 Middle East & Africa Deep Learning Chipset Consumption by Type
• 8.3 Middle East & Africa Deep Learning Chipset Consumption 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 and Impact
  • 9.1.1 Growing Demand from Key Regions
  • 9.1.2 Growing Demand from Key Applications and Potential Industries
• 9.2 Market Challenges and Impact
• 9.3 Market Trends

10 Marketing, Distributors and Customer

• 10.1 Sales Channel
  • 10.1.1 Direct Channels
  • 10.1.2 Indirect Channels
• 10.2 Deep Learning Chipset Distributors
• 10.3 Deep Learning Chipset Customer

11 Global Deep Learning Chipset Market Forecast

• 11.1 Global Deep Learning Chipset Consumption Forecast (2019-2024)
• 11.2 Global Deep Learning Chipset Forecast by Regions
  • 11.2.1 Global Deep Learning Chipset Forecast by Regions (2019-2024)
  • 11.2.2 Global Deep Learning Chipset Value Forecast by Regions (2019-2024)
  • 11.2.3 Americas Consumption Forecast
  • 11.2.4 APAC Consumption Forecast
  • 11.2.5 Europe Consumption Forecast
  • 11.2.6 Middle East & Africa Consumption Forecast
• 11.3 Americas Forecast by Countries
  • 11.3.1 United States Market Forecast
  • 11.3.2 Canada Market Forecast
  • 11.3.3 Mexico Market Forecast
  • 11.3.4 Brazil Market Forecast
• 11.4 APAC Forecast by Countries
  • 11.4.1 China Market Forecast
  • 11.4.2 Japan Market Forecast
  • 11.4.3 Korea Market Forecast
  • 11.4.4 Southeast Asia Market Forecast
  • 11.4.5 India Market Forecast
  • 11.4.6 Australia Market Forecast
• 11.5 Europe Forecast by Countries
  • 11.5.1 Germany Market Forecast
  • 11.5.2 France Market Forecast
  • 11.5.3 UK Market Forecast
  • 11.5.4 Italy Market Forecast
  • 11.5.5 Russia Market Forecast
  • 11.5.6 Spain Market Forecast
• 11.6 Middle East & Africa Forecast by Countries
  • 11.6.1 Egypt Market Forecast
  • 11.6.2 South Africa Market Forecast
  • 11.6.3 Israel Market Forecast
  • 11.6.4 Turkey Market Forecast
  • 11.6.5 GCC Countries Market Forecast
• 11.7 Global Deep Learning Chipset Forecast by Type
• 11.8 Global Deep Learning Chipset Forecast by Application

12 Key Players Analysis

• 12.1 NVIDIA
  • 12.1.1 Company Details
  • 12.1.2 Deep Learning Chipset Product Offered
  • 12.1.3 NVIDIA Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.1.4 Main Business Overview
  • 12.1.5 NVIDIA News
• 12.2 Intel
  • 12.2.1 Company Details
  • 12.2.2 Deep Learning Chipset Product Offered
  • 12.2.3 Intel Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.2.4 Main Business Overview
  • 12.2.5 Intel News
• 12.3 IBM
  • 12.3.1 Company Details
  • 12.3.2 Deep Learning Chipset Product Offered
  • 12.3.3 IBM Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.3.4 Main Business Overview
  • 12.3.5 IBM News
• 12.4 Qualcomm
  • 12.4.1 Company Details
  • 12.4.2 Deep Learning Chipset Product Offered
  • 12.4.3 Qualcomm Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.4.4 Main Business Overview
  • 12.4.5 Qualcomm News
• 12.5 CEVA
  • 12.5.1 Company Details
  • 12.5.2 Deep Learning Chipset Product Offered
  • 12.5.3 CEVA Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.5.4 Main Business Overview
  • 12.5.5 CEVA News
• 12.6 KnuEdge
  • 12.6.1 Company Details
  • 12.6.2 Deep Learning Chipset Product Offered
  • 12.6.3 KnuEdge Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.6.4 Main Business Overview
  • 12.6.5 KnuEdge News
• 12.7 AMD
  • 12.7.1 Company Details
  • 12.7.2 Deep Learning Chipset Product Offered
  • 12.7.3 AMD Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.7.4 Main Business Overview
  • 12.7.5 AMD News
• 12.8 Xilinx
  • 12.8.1 Company Details
  • 12.8.2 Deep Learning Chipset Product Offered
  • 12.8.3 Xilinx Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.8.4 Main Business Overview
  • 12.8.5 Xilinx News
• 12.9 ARM
  • 12.9.1 Company Details
  • 12.9.2 Deep Learning Chipset Product Offered
  • 12.9.3 ARM Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.9.4 Main Business Overview
  • 12.9.5 ARM News
• 12.10 Google
  • 12.10.1 Company Details
  • 12.10.2 Deep Learning Chipset Product Offered
  • 12.10.3 Google Deep Learning Chipset Sales, Revenue, Price and Gross Margin (2017-2019)
  • 12.10.4 Main Business Overview
  • 12.10.5 Google News
• 12.11 Graphcore
• 12.12 TeraDeep
• 12.13 Wave Computing
• 12.14 BrainChip

13 Research Findings and Conclusion

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.

According to this study, over the next five years the Deep Learning Chipset market will register a 39.1% CAGR in terms of revenue, the global market size will reach US$ 6310 million by 2024, from US$ 870 million in 2019. In particular, this report presents the global market share (sales and revenue) of key companies in Deep Learning Chipset business, shared in Chapter 3.

This report presents a comprehensive overview, market shares, and growth opportunities of Deep Learning Chipset market by product type, application, key manufacturers and key regions and countries.

This study considers the Deep Learning Chipset value and volume generated from the sales of the following segments:

Segmentation by product type: breakdown data from 2014 to 2019, in Section 2.3; and forecast to 2024 in section 11.7.
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 11.8.
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others

This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global Deep Learning Chipset consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Deep Learning Chipset market by identifying its various subsegments.
Focuses on the key global Deep Learning Chipset manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Deep Learning Chipset with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Deep Learning Chipset submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.