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Global Deep Learning Market Size, Status And Forecast 2021-2027

Published on: Jul 2021 | From USD $3900 | Published By: QY RESEARCH | Number Of Pages: 125

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.

Market Analysis and Insights: Global Deep Learning Market
The global Deep Learning market size is projected to reach US$ 11910 million by 2027, from US$ 2671.2 million in 2020, at a CAGR of 23.6% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Deep Learning market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Deep Learning market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Deep Learning market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Deep Learning market.

Global Deep Learning Scope and Market Size
Deep Learning market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Deep Learning market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Hardware
Software
Services

Segment by Application
Healthcare
Manufacturing
Automotive
Agriculture
Retail
Security
Human Resources
Marketing

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Amazon Web Services (AWS)
Google
IBM
Intel
Micron Technology
Microsoft
Nvidia
Qualcomm
Samsung
Sensory Inc.
Skymind
Xilinx
AMD
General Vision
Graphcore
Mellanox Technologies
Huawei Technologies
Fujitsu
Baidu
Mythic
Adapteva
Koniku

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning Market Size Growth Rate by Type: 2016 VS 2021 VS 2027
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Deep Learning Market Share by Application: 2016 VS 2021 VS 2027
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 Study Objectives
1.5 Years Considered

2 Global Growth Trends
2.1 Global Deep Learning Market Perspective (2016-2027)
2.2 Deep Learning Growth Trends by Regions
2.2.1 Deep Learning Market Size by Regions: 2016 VS 2021 VS 2027
2.2.2 Deep Learning Historic Market Share by Regions (2016-2021)
2.2.3 Deep Learning Forecasted Market Size by Regions (2022-2027)
2.3 Deep Learning Industry Dynamic
2.3.1 Deep Learning Market Trends
2.3.2 Deep Learning Market Drivers
2.3.3 Deep Learning Market Challenges
2.3.4 Deep Learning Market Restraints

3 Competition Landscape by Key Players
3.1 Global Top Deep Learning Players by Revenue
3.1.1 Global Top Deep Learning Players by Revenue (2016-2021)
3.1.2 Global Deep Learning Revenue Market Share by Players (2016-2021)
3.2 Global Deep Learning Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.3 Players Covered: Ranking by Deep Learning Revenue
3.4 Global Deep Learning Market Concentration Ratio
3.4.1 Global Deep Learning Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Revenue in 2020
3.5 Deep Learning Key Players Head office and Area Served
3.6 Key Players Deep Learning Product Solution and Service
3.7 Date of Enter into Deep Learning Market
3.8 Mergers & Acquisitions, Expansion Plans

4 Deep Learning Breakdown Data by Type
4.1 Global Deep Learning Historic Market Size by Type (2016-2021)
4.2 Global Deep Learning Forecasted Market Size by Type (2022-2027)

5 Deep Learning Breakdown Data by Application
5.1 Global Deep Learning Historic Market Size by Application (2016-2021)
5.2 Global Deep Learning Forecasted Market Size by Application (2022-2027)

6 North America
6.1 North America Deep Learning Market Size (2016-2027)
6.2 North America Deep Learning Market Size by Type
6.2.1 North America Deep Learning Market Size by Type (2016-2021)
6.2.2 North America Deep Learning Market Size by Type (2022-2027)
6.2.3 North America Deep Learning Market Size by Type (2016-2027)
6.3 North America Deep Learning Market Size by Application
6.3.1 North America Deep Learning Market Size by Application (2016-2021)
6.3.2 North America Deep Learning Market Size by Application (2022-2027)
6.3.3 North America Deep Learning Market Size by Application (2016-2027)
6.4 North America Deep Learning Market Size by Country
6.4.1 North America Deep Learning Market Size by Country (2016-2021)
6.4.2 North America Deep Learning Market Size by Country (2022-2027)
6.4.3 United States
6.4.4 Canada

7 Europe
7.1 Europe Deep Learning Market Size (2016-2027)
7.2 Europe Deep Learning Market Size by Type
7.2.1 Europe Deep Learning Market Size by Type (2016-2021)
7.2.2 Europe Deep Learning Market Size by Type (2022-2027)
7.2.3 Europe Deep Learning Market Size by Type (2016-2027)
7.3 Europe Deep Learning Market Size by Application
7.3.1 Europe Deep Learning Market Size by Application (2016-2021)
7.3.2 Europe Deep Learning Market Size by Application (2022-2027)
7.3.3 Europe Deep Learning Market Size by Application (2016-2027)
7.4 Europe Deep Learning Market Size by Country
7.4.1 Europe Deep Learning Market Size by Country (2016-2021)
7.4.2 Europe Deep Learning Market Size by Country (2022-2027)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic

8 Asia-Pacific
8.1 Asia-Pacific Deep Learning Market Size (2016-2027)
8.2 Asia-Pacific Deep Learning Market Size by Type
8.2.1 Asia-Pacific Deep Learning Market Size by Type (2016-2021)
8.2.2 Asia-Pacific Deep Learning Market Size by Type (2022-2027)
8.2.3 Asia-Pacific Deep Learning Market Size by Type (2016-2027)
8.3 Asia-Pacific Deep Learning Market Size by Application
8.3.1 Asia-Pacific Deep Learning Market Size by Application (2016-2021)
8.3.2 Asia-Pacific Deep Learning Market Size by Application (2022-2027)
8.3.3 Asia-Pacific Deep Learning Market Size by Application (2016-2027)
8.4 Asia-Pacific Deep Learning Market Size by Region
8.4.1 Asia-Pacific Deep Learning Market Size by Region (2016-2021)
8.4.2 Asia-Pacific Deep Learning Market Size by Region (2022-2027)
8.4.3 China
8.4.4 Japan
8.4.5 South Korea
8.4.6 Southeast Asia
8.4.7 India
8.4.8 Australia

9 Latin America
9.1 Latin America Deep Learning Market Size (2016-2027)
9.2 Latin America Deep Learning Market Size by Type
9.2.1 Latin America Deep Learning Market Size by Type (2016-2021)
9.2.2 Latin America Deep Learning Market Size by Type (2022-2027)
9.2.3 Latin America Deep Learning Market Size by Type (2016-2027)
9.3 Latin America Deep Learning Market Size by Application
9.3.1 Latin America Deep Learning Market Size by Application (2016-2021)
9.3.2 Latin America Deep Learning Market Size by Application (2022-2027)
9.3.3 Latin America Deep Learning Market Size by Application (2016-2027)
9.4 Latin America Deep Learning Market Size by Country
9.4.1 Latin America Deep Learning Market Size by Country (2016-2021)
9.4.2 Latin America Deep Learning Market Size by Country (2022-2027)
9.4.3 Mexico
9.4.4 Brazil

10 Middle East & Africa
10.1 Middle East & Africa Deep Learning Market Size (2016-2027)
10.2 Middle East & Africa Deep Learning Market Size by Type
10.2.1 Middle East & Africa Deep Learning Market Size by Type (2016-2021)
10.2.2 Middle East & Africa Deep Learning Market Size by Type (2022-2027)
10.2.3 Middle East & Africa Deep Learning Market Size by Type (2016-2027)
10.3 Middle East & Africa Deep Learning Market Size by Application
10.3.1 Middle East & Africa Deep Learning Market Size by Application (2016-2021)
10.3.2 Middle East & Africa Deep Learning Market Size by Application (2022-2027)
10.3.3 Middle East & Africa Deep Learning Market Size by Application (2016-2027)
10.4 Middle East & Africa Deep Learning Market Size by Country
10.4.1 Middle East & Africa Deep Learning Market Size by Country (2016-2021)
10.4.2 Middle East & Africa Deep Learning Market Size by Country (2022-2027)
10.4.3 Turkey
10.4.4 Saudi Arabia
10.4.5 UAE

11 Key Players Profiles
11.1 Amazon Web Services (AWS)
11.1.1 Amazon Web Services (AWS) Company Details
11.1.2 Amazon Web Services (AWS) Business Overview
11.1.3 Amazon Web Services (AWS) Deep Learning Introduction
11.1.4 Amazon Web Services (AWS) Revenue in Deep Learning Business (2016-2021)
11.1.5 Amazon Web Services (AWS) Recent Development
11.2 Google
11.2.1 Google Company Details
11.2.2 Google Business Overview
11.2.3 Google Deep Learning Introduction
11.2.4 Google Revenue in Deep Learning Business (2016-2021)
11.2.5 Google Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Deep Learning Introduction
11.3.4 IBM Revenue in Deep Learning Business (2016-2021)
11.3.5 IBM Recent Development
11.4 Intel
11.4.1 Intel Company Details
11.4.2 Intel Business Overview
11.4.3 Intel Deep Learning Introduction
11.4.4 Intel Revenue in Deep Learning Business (2016-2021)
11.4.5 Intel Recent Development
11.5 Micron Technology
11.5.1 Micron Technology Company Details
11.5.2 Micron Technology Business Overview
11.5.3 Micron Technology Deep Learning Introduction
11.5.4 Micron Technology Revenue in Deep Learning Business (2016-2021)
11.5.5 Micron Technology Recent Development
11.6 Microsoft
11.6.1 Microsoft Company Details
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Deep Learning Introduction
11.6.4 Microsoft Revenue in Deep Learning Business (2016-2021)
11.6.5 Microsoft Recent Development
11.7 Nvidia
11.7.1 Nvidia Company Details
11.7.2 Nvidia Business Overview
11.7.3 Nvidia Deep Learning Introduction
11.7.4 Nvidia Revenue in Deep Learning Business (2016-2021)
11.7.5 Nvidia Recent Development
11.8 Qualcomm
11.8.1 Qualcomm Company Details
11.8.2 Qualcomm Business Overview
11.8.3 Qualcomm Deep Learning Introduction
11.8.4 Qualcomm Revenue in Deep Learning Business (2016-2021)
11.8.5 Qualcomm Recent Development
11.9 Samsung
11.9.1 Samsung Company Details
11.9.2 Samsung Business Overview
11.9.3 Samsung Deep Learning Introduction
11.9.4 Samsung Revenue in Deep Learning Business (2016-2021)
11.9.5 Samsung Recent Development
11.10 Sensory Inc.
11.10.1 Sensory Inc. Company Details
11.10.2 Sensory Inc. Business Overview
11.10.3 Sensory Inc. Deep Learning Introduction
11.10.4 Sensory Inc. Revenue in Deep Learning Business (2016-2021)
11.10.5 Sensory Inc. Recent Development
11.11 Skymind
11.11.1 Skymind Company Details
11.11.2 Skymind Business Overview
11.11.3 Skymind Deep Learning Introduction
11.11.4 Skymind Revenue in Deep Learning Business (2016-2021)
11.11.5 Skymind Recent Development
11.12 Xilinx
11.12.1 Xilinx Company Details
11.12.2 Xilinx Business Overview
11.12.3 Xilinx Deep Learning Introduction
11.12.4 Xilinx Revenue in Deep Learning Business (2016-2021)
11.12.5 Xilinx Recent Development
11.13 AMD
11.13.1 AMD Company Details
11.13.2 AMD Business Overview
11.13.3 AMD Deep Learning Introduction
11.13.4 AMD Revenue in Deep Learning Business (2016-2021)
11.13.5 AMD Recent Development
11.14 General Vision
11.14.1 General Vision Company Details
11.14.2 General Vision Business Overview
11.14.3 General Vision Deep Learning Introduction
11.14.4 General Vision Revenue in Deep Learning Business (2016-2021)
11.14.5 General Vision Recent Development
11.15 Graphcore
11.15.1 Graphcore Company Details
11.15.2 Graphcore Business Overview
11.15.3 Graphcore Deep Learning Introduction
11.15.4 Graphcore Revenue in Deep Learning Business (2016-2021)
11.15.5 Graphcore Recent Development
11.16 Mellanox Technologies
11.16.1 Mellanox Technologies Company Details
11.16.2 Mellanox Technologies Business Overview
11.16.3 Mellanox Technologies Deep Learning Introduction
11.16.4 Mellanox Technologies Revenue in Deep Learning Business (2016-2021)
11.16.5 Mellanox Technologies Recent Development
11.17 Huawei Technologies
11.17.1 Huawei Technologies Company Details
11.17.2 Huawei Technologies Business Overview
11.17.3 Huawei Technologies Deep Learning Introduction
11.17.4 Huawei Technologies Revenue in Deep Learning Business (2016-2021)
11.17.5 Huawei Technologies Recent Development
11.18 Fujitsu
11.18.1 Fujitsu Company Details
11.18.2 Fujitsu Business Overview
11.18.3 Fujitsu Deep Learning Introduction
11.18.4 Fujitsu Revenue in Deep Learning Business (2016-2021)
11.18.5 Fujitsu Recent Development
11.18 Baidu
.1 Baidu Company Details
.2 Baidu Business Overview
.3 Baidu Deep Learning Introduction
.4 Baidu Revenue in Deep Learning Business (2016-2021)
.5 Baidu Recent Development
11.20 Mythic
11.20.1 Mythic Company Details
11.20.2 Mythic Business Overview
11.20.3 Mythic Deep Learning Introduction
11.20.4 Mythic Revenue in Deep Learning Business (2016-2021)
11.20.5 Mythic Recent Development
11.21 Adapteva
11.21.1 Adapteva Company Details
11.21.2 Adapteva Business Overview
11.21.3 Adapteva Deep Learning Introduction
11.21.4 Adapteva Revenue in Deep Learning Business (2016-2021)
11.21.5 Adapteva Recent Development
11.22 Koniku
11.22.1 Koniku Company Details
11.22.2 Koniku Business Overview
11.22.3 Koniku Deep Learning Introduction
11.22.4 Koniku Revenue in Deep Learning Business (2016-2021)
11.22.5 Koniku Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

List of Tables
Table 1. Global Deep Learning Market Size Growth Rate by Type (US$ Million):2016 VS 2021 VS 2027
Table 2. Key Players of Hardware
Table 3. Key Players of Software
Table 4. Key Players of Services
Table 5. Global Deep Learning Market Size Growth by Application (US$ Million): 2016 VS 2021 VS 2027
Table 6. Global Deep Learning Market Size by Regions (US$ Million): 2016 VS 2021 VS 2027
Table 7. Global Deep Learning Market Size by Regions (2016-2021) & (US$ Million)
Table 8. Global Deep Learning Market Share by Regions (2016-2021)
Table 9. Global Deep Learning Forecasted Market Size by Regions (2022-2027) & (US$ Million)
Table 10. Global Deep Learning Market Share by Regions (2022-2027)
Table 11. Deep Learning Market Trends
Table 12. Deep Learning Market Drivers
Table 13. Deep Learning Market Challenges
Table 14. Deep Learning Market Restraints
Table 15. Global Deep Learning Revenue by Players (2016-2021) & (US$ Million)
Table 16. Global Deep Learning Market Share by Players (2016-2021)
Table 17. Global Top Deep Learning Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Deep Learning as of 2020)
Table 18. Ranking of Global Top Deep Learning Companies by Revenue (US$ Million) in 2020
Table 19. Global 5 Largest Players Market Share by Deep Learning Revenue (CR5 and HHI) & (2016-2021)
Table 20. Key Players Headquarters and Area Served
Table 21. Key Players Deep Learning Product Solution and Service
Table 22. Date of Enter into Deep Learning Market
Table 23. Mergers & Acquisitions, Expansion Plans
Table 24. Global Deep Learning Market Size by Type (2016-2021) (US$ Million)
Table 25. Global Deep Learning Revenue Market Share by Type (2016-2021)
Table 26. Global Deep Learning Forecasted Market Size by Type (2022-2027) (US$ Million)
Table 27. Global Deep Learning Revenue Market Share by Type (2022-2027) & (US$ Million)
Table 28. Global Deep Learning Market Size Share by Application (2016-2021) & (US$ Million)
Table 29. Global Deep Learning Revenue Market Share by Application (2016-2021)
Table 30. Global Deep Learning Forecasted Market Size by Application (2022-2027) (US$ Million)
Table 31. Global Deep Learning Revenue Market Share by Application (2022-2027) & (US$ Million)
Table 32. North America Deep Learning Market Size by Type (2016-2021) (US$ Million)
Table 33. North America Deep Learning Market Size by Type (2022-2027) & (US$ Million)
Table 34. North America Deep Learning Market Size by Application (2016-2021) (US$ Million)
Table 35. North America Deep Learning Market Size by Application (2022-2027) & (US$ Million)
Table 36. North America Deep Learning Market Size by Country (2016-2021) & (US$ Million)
Table 37. North America Deep Learning Market Size by Country (2022-2027) & (US$ Million)
Table 38. Europe Deep Learning Market Size by Type (2016-2021) (US$ Million)
Table 39. Europe Deep Learning Market Size by Type (2022-2027) & (US$ Million)
Table 40. Europe Deep Learning Market Size by Application (2016-2021) (US$ Million)
Table 41. Europe Deep Learning Market Size by Application (2022-2027) & (US$ Million)
Table 42. Europe Deep Learning Market Size by Country (2016-2021) & (US$ Million)
Table 43. Europe Deep Learning Market Size by Country (2022-2027) & (US$ Million)
Table 44. Asia-Pacific Deep Learning Market Size by Type (2016-2021) (US$ Million)
Table 45. Asia-Pacific Deep Learning Market Size by Type (2022-2027) & (US$ Million)
Table 46. Asia-Pacific Deep Learning Market Size by Application (2016-2021) (US$ Million)
Table 47. Asia-Pacific Deep Learning Market Size by Application (2022-2027) & (US$ Million)
Table 48. Asia-Pacific Deep Learning Market Size by Region (2016-2021) & (US$ Million)
Table 49. Asia-Pacific Deep Learning Market Size by Region (2022-2027) & (US$ Million)
Table 50. Latin America Deep Learning Market Size by Type (2016-2021) (US$ Million)
Table 51. Latin America Deep Learning Market Size by Type (2022-2027) & (US$ Million)
Table 52. Latin America Deep Learning Market Size by Application (2016-2021) (US$ Million)
Table 53. Latin America Deep Learning Market Size by Application (2022-2027) & (US$ Million)
Table 54. Latin America Deep Learning Market Size by Country (2016-2021) & (US$ Million)
Table 55. Latin America Deep Learning Market Size by Country (2022-2027) & (US$ Million)
Table 56. Middle East & Africa Deep Learning Market Size by Type (2016-2021) (US$ Million)
Table 57. Middle East & Africa Deep Learning Market Size by Type (2022-2027) & (US$ Million)
Table 58. Middle East & Africa Deep Learning Market Size by Application (2016-2021) (US$ Million)
Table 59. Middle East & Africa Deep Learning Market Size by Application (2022-2027) & (US$ Million)
Table 60. Middle East & Africa Deep Learning Market Size by Country (2016-2021) & (US$ Million)
Table 61. Middle East & Africa Deep Learning Market Size by Country (2022-2027) & (US$ Million)
Table 62. Amazon Web Services (AWS) Company Details
Table 63. Amazon Web Services (AWS) Business Overview
Table 64. Amazon Web Services (AWS) Deep Learning Product
Table 65. Amazon Web Services (AWS) Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 66. Amazon Web Services (AWS) Recent Development
Table 67. Google Company Details
Table 68. Google Business Overview
Table 69. Google Deep Learning Product
Table 70. Google Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 71. Google Recent Development
Table 72. IBM Company Details
Table 73. IBM Business Overview
Table 74. IBM Deep Learning Product
Table 75. IBM Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 76. IBM Recent Development
Table 77. Intel Company Details
Table 78. Intel Business Overview
Table 79. Intel Deep Learning Product
Table 80. Intel Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 81. Intel Recent Development
Table 82. Micron Technology Company Details
Table 83. Micron Technology Business Overview
Table 84. Micron Technology Deep Learning Product
Table 85. Micron Technology Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 86. Micron Technology Recent Development
Table 87. Microsoft Company Details
Table 88. Microsoft Business Overview
Table 89. Microsoft Deep Learning Product
Table 90. Microsoft Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 91. Microsoft Recent Development
Table 92. Nvidia Company Details
Table 93. Nvidia Business Overview
Table 94. Nvidia Deep Learning Product
Table 95. Nvidia Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 96. Nvidia Recent Development
Table 97. Qualcomm Company Details
Table 98. Qualcomm Business Overview
Table 99. Qualcomm Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 100. Qualcomm Recent Development
Table 101. Samsung Company Details
Table 102. Samsung Business Overview
Table 103. Samsung Deep Learning Product
Table 104. Samsung Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 105. Samsung Recent Development
Table 106. Sensory Inc. Company Details
Table 107. Sensory Inc. Business Overview
Table 108. Sensory Inc. Deep Learning Product
Table 109. Sensory Inc. Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 110. Sensory Inc. Recent Development
Table 111. Skymind Company Details
Table 112. Skymind Business Overview
Table 113. Skymind Deep Learning Product
Table 114. Skymind Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 115. Skymind Recent Development
Table 116. Xilinx Company Details
Table 117. Xilinx Business Overview
Table 118. Xilinx Deep Learning Product
Table 119. Xilinx Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 120. Xilinx Recent Development
Table 121. AMD Company Details
Table 122. AMD Business Overview
Table 123. AMD Deep Learning Product
Table 124. AMD Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 125. AMD Recent Development
Table 126. General Vision Company Details
Table 127. General Vision Business Overview
Table 128. General Vision Deep Learning Product
Table 129. General Vision Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 130. General Vision Recent Development
Table 131. Graphcore Company Details
Table 132. Graphcore Business Overview
Table 133. Graphcore Deep Learning Product
Table 134. Graphcore Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 135. Graphcore Recent Development
Table 136. Mellanox Technologies Company Details
Table 137. Mellanox Technologies Business Overview
Table 138. Mellanox Technologies Deep Learning Product
Table 139. Mellanox Technologies Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 140. Mellanox Technologies Recent Development
Table 141. Huawei Technologies Company Details
Table 142. Huawei Technologies Business Overview
Table 143. Huawei Technologies Deep Learning Product
Table 144. Huawei Technologies Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 145. Huawei Technologies Recent Development
Table 146. Fujitsu Company Details
Table 147. Fujitsu Business Overview
Table 148. Fujitsu Deep Learning Product
Table 149. Fujitsu Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 150. Fujitsu Recent Development
Table 151. Baidu Company Details
Table 152. Baidu Business Overview
Table 153. Baidu Deep Learning Product
Table 154. Baidu Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 155. Baidu Recent Development
Table 156. Mythic Company Details
Table 157. Mythic Business Overview
Table 158. Mythic Deep Learning Product
Table 159. Mythic Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 160. Mythic Recent Development
Table 161. Adapteva Company Details
Table 162. Adapteva Business Overview
Table 163. Adapteva Deep Learning Product
Table 164. Adapteva Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 165. Adapteva Recent Development
Table 166. Koniku Company Details
Table 167. Koniku Business Overview
Table 168. Koniku Deep Learning Product
Table 169. Koniku Revenue in Deep Learning Business (2016-2021) & (US$ Million)
Table 170. Koniku Recent Development
Table 171. Research Programs/Design for This Report
Table 172. Key Data Information from Secondary Sources
Table 173. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Deep Learning Market Share by Type: 2020 VS 2027
Figure 2. Hardware Features
Figure 3. Software Features
Figure 4. Services Features
Figure 5. Global Deep Learning Market Share by Application: 2020 VS 2027
Figure 6. Healthcare Case Studies
Figure 7. Manufacturing Case Studies
Figure 8. Automotive Case Studies
Figure 9. Agriculture Case Studies
Figure 10. Retail Case Studies
Figure 11. Security Case Studies
Figure 12. Human Resources Case Studies
Figure 13. Marketing Case Studies
Figure 14. Deep Learning Report Years Considered
Figure 15. Global Deep Learning Market Size (US$ Million), Year-over-Year: 2016-2027
Figure 16. Global Deep Learning Market Size (US$ Million), 2016 VS 2021 VS 2027
Figure 17. Global Deep Learning Market Share by Regions: 2020 VS 2027
Figure 18. Global Deep Learning Market Share by Regions (2022-2027)
Figure 19. Global Deep Learning Market Share by Players in 2020
Figure 20. Global Top Deep Learning Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Deep Learning as of 2020
Figure 21. The Top 10 and 5 Players Market Share by Deep Learning Revenue in 2020
Figure 22. Global Deep Learning Revenue Market Share by Type (2016-2021)
Figure 23. Global Deep Learning Revenue Market Share by Type (2022-2027)
Figure 24. North America Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 25. North America Deep Learning Market Share by Type (2016-2027)
Figure 26. North America Deep Learning Market Share by Application (2016-2027)
Figure 27. North America Deep Learning Market Share by Country (2016-2027)
Figure 28. United States Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 29. Canada Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 30. Europe Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 31. Europe Deep Learning Market Share by Type (2016-2027)
Figure 32. Europe Deep Learning Market Share by Application (2016-2027)
Figure 33. Europe Deep Learning Market Share by Country (2016-2027)
Figure 34. Germany Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 35. France Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 36. U.K. Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 37. Italy Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 38. Russia Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 39. Nordic Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 40. Asia-Pacific Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 41. Asia-Pacific Deep Learning Market Share by Type (2016-2027)
Figure 42. Asia-Pacific Deep Learning Market Share by Application (2016-2027)
Figure 43. Asia-Pacific Deep Learning Market Share by Region (2016-2027)
Figure 44. China Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 45. Japan Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 46. South Korea Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 47. Southeast Asia Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 48. India Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 49. Australia Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 50. Latin America Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 51. Latin America Deep Learning Market Share by Type (2016-2027)
Figure 52. Latin America Deep Learning Market Share by Application (2016-2027)
Figure 53. Latin America Deep Learning Market Share by Country (2016-2027)
Figure 54. Mexico Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 55. Brazil Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 56. Middle East & Africa Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 57. Middle East & Africa Deep Learning Market Share by Type (2016-2027)
Figure 58. Middle East & Africa Deep Learning Market Share by Application (2016-2027)
Figure 59. Middle East & Africa Deep Learning Market Share by Country (2016-2027)
Figure 60. Turkey Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 61. Saudi Arabia Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 62. UAE Deep Learning Market Size YoY Growth (2016-2027) & (US$ Million)
Figure 63. Amazon Web Services (AWS) Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 64. Google Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 65. IBM Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 66. Intel Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 67. Micron Technology Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 68. Microsoft Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 69. Nvidia Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 70. Qualcomm Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 71. Samsung Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 72. Sensory Inc. Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 73. Skymind Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 74. Xilinx Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 75. AMD Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 76. General Vision Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 77. Graphcore Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 78. Mellanox Technologies Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 79. Huawei Technologies Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 80. Fujitsu Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 81. Baidu Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 82. Mythic Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 83. Adapteva Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 84. Koniku Revenue Growth Rate in Deep Learning Business (2016-2021)
Figure 85. Bottom-up and Top-down Approaches for This Report
Figure 86. Data Triangulation
Figure 87. Key Executives Interviewed

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

FAQs

Market research is a defined process to collect information about customers, competitors, and everything that a business needs to understand to sustain and grow. It offers important analysis to distinguish and examine the market needs, size, and trends. Market research is generally divided into, primary research and/or secondary research.

The process usually includes collection and interpretation of market data by using statistical and analytical techniques to support the decision making process.

The report helps in identifying and tracking emerging players in the market and their portfolios, enhances decision making capabilities and helps to create effective counter strategies to gain competitive advantage.

Market research reports provide in-depth analysis about the market conditions and requirements for effective decision making.
The report provides a snapshot of the global market size, segmentation data, marketing growth strategies, market share, export and import information, analysis and forecast of market trends, competition, domestic production, best sales prospects, statistical data, tariffs, regulations, distribution and business practices, end-user analysis, contact points and more.

These research reports include information about competitive strategies, solutions, fact-based research, key takeaways, recommendations, market considerations, emerging business models and market opportunities for multiple segments of an industry.

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Market research studies several features of business environment, such as competitors, market structure, government regulations, economic trends, technological advances and financial analysis of companies, industries, and sectors. This helps person in the decision-making process of planning and implementing strategies for their markets.

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There may be exceptions to this if you place order on a non-working day specifically because our publisher partners are located all over the globe. In case of physical delivery report will be couriered to you within 3 working days from the date of the receipt of payment and delivery time will differ based on your location

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