Global Deep Learning Market 2018 by Manufacturers, Countries, Type and Application, Forecast to 2023-中商产业研究院

内容概括

The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market. Also, the market for services is expected to grow at the highest CAGR from 2018 to 2023. The increasing adoption of deep learning software solutions in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social network, and software that serves up ads on many websites, is driving the growth of machine learning technology in the deep learning market. Most companies that manufacture and develop deep learning systems and related software provide both online and offline support, depending on the application. Several companies provide installation, training, and support pertaining to these systems, along with online assistance and post-maintenance of software and required services.Scope of the Report:
This report studies the Deep Learning 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 market by product type and applications/end industries.
The global Deep Learning 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 40.1% 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.
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%.Market Segment by Companies, this report covers
Amazon Web Services (AWS)
Google
IBM
Intel
Micron Technology
Microsoft
Nvidia
Qualcomm
Samsung Electronics
Sensory Inc.
Skymind
Xilinx
AMD
General Vision
Graphcore
Mellanox Technologies
Huawei Technologies
Fujitsu
Baidu
Mythic
Adapteva, Inc.
KonikuMarket 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
Hardware
Software
ServicesMarket Segment by Applications, can be divided into
Healthcare
Manufacturing
Automotive
Agriculture
Retail
Security
Human Resources
Marketing

报告目录

1 Deep Learning Market Overview

1.1 Product Overview and Scope of Deep Learning

1.2 Classification of Deep Learning by Types

1.2.1 Global Deep Learning Revenue Comparison by Types (2017-2023)

1.2.2 Global Deep Learning Revenue Market Share by Types in 2017

1.2.3 Hardware

1.2.4 Software

1.2.5 Services

1.3 Global Deep Learning Market by Application

1.3.1 Global Deep Learning Market Size and Market Share Comparison by Applications (2013-2023)

1.3.2 Healthcare

1.3.3 Manufacturing

1.3.4 Automotive

1.3.5 Agriculture

1.3.6 Retail

1.3.7 Security

1.3.8 Human Resources

1.3.9 Marketing

1.4 Global Deep Learning Market by Regions

1.4.1 Global Deep Learning Market Size (Million USD) Comparison by Regions (2013-2023)

1.4.1 North America (USA, Canada and Mexico) Deep Learning Status and Prospect (2013-2023)

1.4.2 Europe (Germany, France, UK, Russia and Italy) Deep Learning Status and Prospect (2013-2023)

1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Deep Learning Status and Prospect (2013-2023)

1.4.4 South America (Brazil, Argentina, Colombia) Deep Learning Status and Prospect (2013-2023)

1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Deep Learning Status and Prospect (2013-2023)

1.5 Global Market Size of Deep Learning (2013-2023)

2 Manufacturers Profiles

2.1 Amazon Web Services (AWS)

2.1.1 Business Overview

2.1.2 Deep Learning Type and Applications

2.1.3 Amazon Web Services (AWS) Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.2 Google

2.2.1 Business Overview

2.2.2 Deep Learning Type and Applications

2.2.3 Google Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.3 IBM

2.3.1 Business Overview

2.3.2 Deep Learning Type and Applications

2.3.3 IBM Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.4 Intel

2.4.1 Business Overview

2.4.2 Deep Learning Type and Applications

2.4.3 Intel Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.5 Micron Technology

2.5.1 Business Overview

2.5.2 Deep Learning Type and Applications

2.5.3 Micron Technology Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.6 Microsoft

2.6.1 Business Overview

2.6.2 Deep Learning Type and Applications

2.6.3 Microsoft Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.7 Nvidia

2.7.1 Business Overview

2.7.2 Deep Learning Type and Applications

2.7.3 Nvidia Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.8 Qualcomm

2.8.1 Business Overview

2.8.2 Deep Learning Type and Applications

2.8.3 Qualcomm Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.9 Samsung Electronics

2.9.1 Business Overview

2.9.2 Deep Learning Type and Applications

2.9.3 Samsung Electronics Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.10 Sensory Inc.

2.10.1 Business Overview

2.10.2 Deep Learning Type and Applications

2.10.3 Sensory Inc. Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.11 Skymind

2.11.1 Business Overview

2.11.2 Deep Learning Type and Applications

2.11.3 Skymind Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.12 Xilinx

2.12.1 Business Overview

2.12.2 Deep Learning Type and Applications

2.12.3 Xilinx Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.13 AMD

2.13.1 Business Overview

2.13.2 Deep Learning Type and Applications

2.13.3 AMD Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.14 General Vision

2.14.1 Business Overview

2.14.2 Deep Learning Type and Applications

2.14.3 General Vision Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.15 Graphcore

2.15.1 Business Overview

2.15.2 Deep Learning Type and Applications

2.15.3 Graphcore Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.16 Mellanox Technologies

2.16.1 Business Overview

2.16.2 Deep Learning Type and Applications

2.16.3 Mellanox Technologies Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.17 Huawei Technologies

2.17.1 Business Overview

2.17.2 Deep Learning Type and Applications

2.17.3 Huawei Technologies Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.18 Fujitsu

2.18.1 Business Overview

2.18.2 Deep Learning Type and Applications

2.18.3 Fujitsu Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.19 Baidu

2.19.1 Business Overview

2.19.2 Deep Learning Type and Applications

2.19.3 Baidu Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.20 Mythic

2.20.1 Business Overview

2.20.2 Deep Learning Type and Applications

2.20.3 Mythic Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.21 Adapteva, Inc.

2.21.1 Business Overview

2.2.2 Deep Learning Type and Applications

2.21.3 Adapteva, Inc. Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

2.22 Koniku

2.22.1 Business Overview

2.22.2 Deep Learning Type and Applications

2.22.3 Koniku Deep Learning Revenue, Gross Margin and Market Share (2016-2017)

3 Global Deep Learning Market Competition, by Players

3.1 Global Deep Learning Revenue and Share by Players (2013-2018)

3.2 Market Concentration Rate

3.2.1 Top 5 Deep Learning Players Market Share

3.2.2 Top 10 Deep Learning Players Market Share

3.3 Market Competition Trend

4 Global Deep Learning Market Size by Regions

4.1 Global Deep Learning Revenue and Market Share by Regions

4.2 North America Deep Learning Revenue and Growth Rate (2013-2018)

4.3 Europe Deep Learning Revenue and Growth Rate (2013-2018)

4.4 Asia-Pacific Deep Learning Revenue and Growth Rate (2013-2018)

4.5 South America Deep Learning Revenue and Growth Rate (2013-2018)

4.6 Middle East and Africa Deep Learning Revenue and Growth Rate (2013-2018)

5 North America Deep Learning Revenue by Countries

5.1 North America Deep Learning Revenue by Countries (2013-2018)

5.2 USA Deep Learning Revenue and Growth Rate (2013-2018)

5.3 Canada Deep Learning Revenue and Growth Rate (2013-2018)

5.4 Mexico Deep Learning Revenue and Growth Rate (2013-2018)

6 Europe Deep Learning Revenue by Countries

6.1 Europe Deep Learning Revenue by Countries (2013-2018)

6.2 Germany Deep Learning Revenue and Growth Rate (2013-2018)

6.3 UK Deep Learning Revenue and Growth Rate (2013-2018)

6.4 France Deep Learning Revenue and Growth Rate (2013-2018)

6.5 Russia Deep Learning Revenue and Growth Rate (2013-2018)

6.6 Italy Deep Learning Revenue and Growth Rate (2013-2018)

7 Asia-Pacific Deep Learning Revenue by Countries

7.1 Asia-Pacific Deep Learning Revenue by Countries (2013-2018)

7.2 China Deep Learning Revenue and Growth Rate (2013-2018)

7.3 Japan Deep Learning Revenue and Growth Rate (2013-2018)

7.4 Korea Deep Learning Revenue and Growth Rate (2013-2018)

7.5 India Deep Learning Revenue and Growth Rate (2013-2018)

7.6 Southeast Asia Deep Learning Revenue and Growth Rate (2013-2018)

8 South America Deep Learning Revenue by Countries

8.1 South America Deep Learning Revenue by Countries (2013-2018)

8.2 Brazil Deep Learning Revenue and Growth Rate (2013-2018)

8.3 Argentina Deep Learning Revenue and Growth Rate (2013-2018)

8.4 Colombia Deep Learning Revenue and Growth Rate (2013-2018)

9 Middle East and Africa Revenue Deep Learning by Countries

9.1 Middle East and Africa Deep Learning Revenue by Countries (2013-2018)

9.2 Saudi Arabia Deep Learning Revenue and Growth Rate (2013-2018)

9.3 UAE Deep Learning Revenue and Growth Rate (2013-2018)

9.4 Egypt Deep Learning Revenue and Growth Rate (2013-2018)

9.5 Nigeria Deep Learning Revenue and Growth Rate (2013-2018)

9.6 South Africa Deep Learning Revenue and Growth Rate (2013-2018)

10 Global Deep Learning Market Segment by Type

10.1 Global Deep Learning Revenue and Market Share by Type (2013-2018)

10.2 Global Deep Learning Market Forecast by Type (2018-2023)

10.3 Hardware Revenue Growth Rate (2013-2023)

10.4 Software Revenue Growth Rate (2013-2023)

10.5 Services Revenue Growth Rate (2013-2023)

11 Global Deep Learning Market Segment by Application

11.1 Global Deep Learning Revenue Market Share by Application (2013-2018)

11.2 Deep Learning Market Forecast by Application (2018-2023)

11.3 Healthcare Revenue Growth (2013-2018)

11.4 Manufacturing Revenue Growth (2013-2018)

11.5 Automotive Revenue Growth (2013-2018)

11.6 Agriculture Revenue Growth (2013-2018)

11.7 Retail Revenue Growth (2013-2018)

11.8 Security Revenue Growth (2013-2018)

11.9 Human Resources Revenue Growth (2013-2018)

11.10 Marketing Revenue Growth (2013-2018)

12 Global Deep Learning Market Size Forecast (2018-2023)

12.1 Global Deep Learning Market Size Forecast (2018-2023)

12.2 Global Deep Learning Market Forecast by Regions (2018-2023)

12.3 North America Deep Learning Revenue Market Forecast (2018-2023)

12.4 Europe Deep Learning Revenue Market Forecast (2018-2023)

12.5 Asia-Pacific Deep Learning Revenue Market Forecast (2018-2023)

12.6 South America Deep Learning Revenue Market Forecast (2018-2023)

12.7 Middle East and Africa Deep Learning Revenue Market Forecast (2018-2023)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

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