The global Deep Learning market size is projected to reach US$ 11910 million by 2028, from US$ 2671.2 million in 2021, at a CAGR of 23.6% during 2022-2028. Key drivers of the market growth include the increasing adoption of deep learning software solutions in various applications such as smartphone assistants, ATMs that read checks, voice and image recognition, etc. Deep learning is a class of machine learning algorithms based on artificial neural networks with representation learning.
The deep learning market is expected to rise significantly during the forecast period due to rising computing power, declining hardware costs, and the widespread adoption of cloud-based technology. The growth of the market will propel further due to mass usage of deep learning in big data analytics and increasing adoption of AI in customer-centric services in deep learning.
Mass usage of software solutions in various applications such as smartphone assistants, ATMs that read checks, social media voice and image recognition, software providing ads on many websites, etc will drive the growth of the deep learning market globally. Moreover, the latest deep learning approaches have significantly improved the accuracy levels of AI-based models leading to the development of new classes of neural networks for applications like image classification and text translation. These applications will further propel the growth of the global deep learning market.
New development in hardware and computational power
New initiatives and developments are advancing deep learning models. With further growth in hardware and computing power handling of large volumes of data and several layers of machine learning algorithms have now become easy as the complexities involved have now reduced and with swift information storage new technological advancements will further accelerate the growth of the deep learning market globally.
Growing IT industry, Healthcare usage and rising trend for digitalization
Traditional computing systems are increasingly being replaced with deep learning algorithms as they automatically enhance and capture all the available data points accelerating the efficiency and effectiveness of the decision making process. Also machine learning models are now being used in cybersecurity, data management and fraud detection systems. Healthcare sector has also started adoption of data analytics, AI and deep learning to process medical images for disease diagnosis, drug discovery and virtual patient assistance. Such widescale adoption of deep learning technology will further help in the progress of the deep learning market during the forecast period.
Global players such as Amazon web services, IBM, google, intel, Microsoft, Nvidia and Qualcomm are investing heavily in the deep learning market. Larsen and Toubro have recently entered into a strategic collaboration partnership with Amazon Web Services for cloud-based technology, data analytics and Internet of things(IoT). Rising investments and new strategic partnerships will further propel the deep learning market across the globe.
Based on region, Asia-pacific is expected to be the most lucrative region during the forecast period. The demand will grow rapidly due to an exponential rise in chatbots and continuous improvement seen in virtual personal assistants.
Based on type, the software segment is expected to be the most lucrative during the forecast period due to the rising adoption of software deep learning technologies for processing and synthesizing large volumes of data with reduced complexity.
Based on application, the security segment is expected to be the most lucrative during the forecast period due to rising cyberattacks and online threats companies are investing heavily into security solutions in order to protect the privacy of important confidential data and to avoid data loss.
Deep Learning Market Type
In the competitive analysis section of the report, leading as well as prominent players of the global Deep Learning market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2016-2021. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by players for the period 2016-2021.
|
Report Metric |
Details |
|
Report Name |
Deep Learning Market Report |
|
The Market size value in 2021 |
2671.2 Million USD |
|
The Revenue forecast in 2028 |
11910 Million USD |
|
Growth Rate |
CAGR of 23.6% from 2022 to 2028 |
|
Base year considered |
2021 |
|
Forecast period |
2022-2028 |
|
Forecast units |
Value (USD) |
|
Segments covered |
Type, End-User, Offerings, and Region |
|
Report coverage |
Revenue & volume forecast, company share, competitive landscape, growth factors, and trends |
|
Geographic regions covered |
North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
|
Companies covered |
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. |
Ans. Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.
Ans. The global Deep Learning market size is projected to reach US$ 11910 million by 2028 from US$ 2671.2 million in 2021.
Ans. The global Deep Learning market is expected to grow at a compound annual growth rate of 23.6% from 2022 to 2028.
Ans. 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.
Table of Contents
1 Report Business Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning Market Size Growth Rate by Type, 2017 VS 2021 VS 2028
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Deep Learning Market Size Growth Rate by Application, 2017 VS 2021 VS 2028
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 (2017-2028)
2.2 Deep Learning Growth Trends by Region
2.2.1 Deep Learning Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 Deep Learning Historic Market Size by Region (2017-2022)
2.2.3 Deep Learning Forecasted Market Size by Region (2023-2028)
2.3 Deep Learning Market Dynamics
2.3.1 Deep Learning Industry 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 (2017-2022)
3.1.2 Global Deep Learning Revenue Market Share by Players (2017-2022)
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 2021
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 (2017-2022)
4.2 Global Deep Learning Forecasted Market Size by Type (2023-2028)
5 Deep Learning Breakdown Data by Application
5.1 Global Deep Learning Historic Market Size by Application (2017-2022)
5.2 Global Deep Learning Forecasted Market Size by Application (2023-2028)
6 North America
6.1 North America Deep Learning Market Size (2017-2028)
6.2 North America Deep Learning Market Size by Type
6.2.1 North America Deep Learning Market Size by Type (2017-2022)
6.2.2 North America Deep Learning Market Size by Type (2023-2028)
6.2.3 North America Deep Learning Market Share by Type (2017-2028)
6.3 North America Deep Learning Market Size by Application
6.3.1 North America Deep Learning Market Size by Application (2017-2022)
6.3.2 North America Deep Learning Market Size by Application (2023-2028)
6.3.3 North America Deep Learning Market Share by Application (2017-2028)
6.4 North America Deep Learning Market Size by Country
6.4.1 North America Deep Learning Market Size by Country (2017-2022)
6.4.2 North America Deep Learning Market Size by Country (2023-2028)
6.4.3 U.S.
6.4.4 Canada
7 Europe
7.1 Europe Deep Learning Market Size (2017-2028)
7.2 Europe Deep Learning Market Size by Type
7.2.1 Europe Deep Learning Market Size by Type (2017-2022)
7.2.2 Europe Deep Learning Market Size by Type (2023-2028)
7.2.3 Europe Deep Learning Market Share by Type (2017-2028)
7.3 Europe Deep Learning Market Size by Application
7.3.1 Europe Deep Learning Market Size by Application (2017-2022)
7.3.2 Europe Deep Learning Market Size by Application (2023-2028)
7.3.3 Europe Deep Learning Market Share by Application (2017-2028)
7.4 Europe Deep Learning Market Size by Country
7.4.1 Europe Deep Learning Market Size by Country (2017-2022)
7.4.2 Europe Deep Learning Market Size by Country (2023-2028)
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 Countries
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning Market Size (2017-2028)
8.2 Asia-Pacific Deep Learning Market Size by Type
8.2.1 Asia-Pacific Deep Learning Market Size by Type (2017-2022)
8.2.2 Asia-Pacific Deep Learning Market Size by Type (2023-2028)
8.2.3 Asia-Pacific Deep Learning Market Share by Type (2017-2028)
8.3 Asia-Pacific Deep Learning Market Size by Application
8.3.1 Asia-Pacific Deep Learning Market Size by Application (2017-2022)
8.3.2 Asia-Pacific Deep Learning Market Size by Application (2023-2028)
8.3.3 Asia-Pacific Deep Learning Market Share by Application (2017-2028)
8.4 Asia-Pacific Deep Learning Market Size by Region
8.4.1 Asia-Pacific Deep Learning Market Size by Region (2017-2022)
8.4.2 Asia-Pacific Deep Learning Market Size by Region (2023-2028)
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 (2017-2028)
9.2 Latin America Deep Learning Market Size by Type
9.2.1 Latin America Deep Learning Market Size by Type (2017-2022)
9.2.2 Latin America Deep Learning Market Size by Type (2023-2028)
9.2.3 Latin America Deep Learning Market Share by Type (2017-2028)
9.3 Latin America Deep Learning Market Size by Application
9.3.1 Latin America Deep Learning Market Size by Application (2017-2022)
9.3.2 Latin America Deep Learning Market Size by Application (2023-2028)
9.3.3 Latin America Deep Learning Market Share by Application (2017-2028)
9.4 Latin America Deep Learning Market Size by Country
9.4.1 Latin America Deep Learning Market Size by Country (2017-2022)
9.4.2 Latin America Deep Learning Market Size by Country (2023-2028)
9.4.3 Mexico
9.4.4 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning Market Size (2017-2028)
10.2 Middle East & Africa Deep Learning Market Size by Type
10.2.1 Middle East & Africa Deep Learning Market Size by Type (2017-2022)
10.2.2 Middle East & Africa Deep Learning Market Size by Type (2023-2028)
10.2.3 Middle East & Africa Deep Learning Market Share by Type (2017-2028)
10.3 Middle East & Africa Deep Learning Market Size by Application
10.3.1 Middle East & Africa Deep Learning Market Size by Application (2017-2022)
10.3.2 Middle East & Africa Deep Learning Market Size by Application (2023-2028)
10.3.3 Middle East & Africa Deep Learning Market Share by Application (2017-2028)
10.4 Middle East & Africa Deep Learning Market Size by Country
10.4.1 Middle East & Africa Deep Learning Market Size by Country (2017-2022)
10.4.2 Middle East & Africa Deep Learning Market Size by Country (2023-2028)
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 (2017-2022)
11.1.5 Amazon Web Services (AWS) Recent Developments
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 (2017-2022)
11.2.5 Google Recent Developments
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 (2017-2022)
11.3.5 IBM Recent Developments
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 (2017-2022)
11.4.5 Intel Recent Developments
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 (2017-2022)
11.5.5 Micron Technology Recent Developments
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 (2017-2022)
11.6.5 Microsoft Recent Developments
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 (2017-2022)
11.7.5 Nvidia Recent Developments
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 (2017-2022)
11.8.5 Qualcomm Recent Developments
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 (2017-2022)
11.9.5 Samsung Recent Developments
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 (2017-2022)
11.10.5 Sensory Inc. Recent Developments
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 (2017-2022)
11.11.5 Skymind Recent Developments
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 (2017-2022)
11.12.5 Xilinx Recent Developments
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 (2017-2022)
11.13.5 AMD Recent Developments
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 (2017-2022)
11.14.5 General Vision Recent Developments
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 (2017-2022)
11.15.5 Graphcore Recent Developments
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 (2017-2022)
11.16.5 Mellanox Technologies Recent Developments
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 (2017-2022)
11.17.5 Huawei Technologies Recent Developments
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 (2017-2022)
11.18.5 Fujitsu Recent Developments
11.19 Baidu
11.19.1 Baidu Company Details
11.19.2 Baidu Business Overview
11.19.3 Baidu Deep Learning Introduction
11.19.4 Baidu Revenue in Deep Learning Business (2017-2022)
11.19.5 Baidu Recent Developments
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 (2017-2022)
11.20.5 Mythic Recent Developments
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 (2017-2022)
11.21.5 Adapteva Recent Developments
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 (2017-2022)
11.22.5 Koniku Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Author Details
13.3 Disclaimer
List of Tables
Table 1. Global Deep Learning Market Size Growth Rate by Type (US$ Million), 2017 VS 2021 VS 2028
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 Rate by Application (US$ Million), 2017 VS 2021 VS 2028
Table 6. Global Deep Learning Market Size by Region (US$ Million): 2017 VS 2021 VS 2028
Table 7. Global Deep Learning Market Size by Region (2017-2022) & (US$ Million)
Table 8. Global Deep Learning Market Share by Region (2017-2022)
Table 9. Global Deep Learning Forecasted Market Size by Region (2023-2028) & (US$ Million)
Table 10. Global Deep Learning Market Share by Region (2023-2028)
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 (2017-2022) & (US$ Million)
Table 16. Global Deep Learning Revenue Share by Players (2017-2022)
Table 17. Global Top Deep Learning by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning as of 2021)
Table 18. Ranking of Global Top Deep Learning Companies by Revenue (US$ Million) in 2021
Table 19. Global 5 Largest Players Market Share by Deep Learning Revenue (CR5 and HHI) & (2017-2022)
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 (2017-2022) & (US$ Million)
Table 25. Global Deep Learning Revenue Market Share by Type (2017-2022)
Table 26. Global Deep Learning Forecasted Market Size by Type (2023-2028) & (US$ Million)
Table 27. Global Deep Learning Revenue Market Share by Type (2023-2028)
Table 28. Global Deep Learning Market Size by Application (2017-2022) & (US$ Million)
Table 29. Global Deep Learning Revenue Share by Application (2017-2022)
Table 30. Global Deep Learning Forecasted Market Size by Application (2023-2028) & (US$ Million)
Table 31. Global Deep Learning Revenue Share by Application (2023-2028)
Table 32. North America Deep Learning Market Size by Type (2017-2022) & (US$ Million)
Table 33. North America Deep Learning Market Size by Type (2023-2028) & (US$ Million)
Table 34. North America Deep Learning Market Size by Application (2017-2022) & (US$ Million)
Table 35. North America Deep Learning Market Size by Application (2023-2028) & (US$ Million)
Table 36. North America Deep Learning Market Size by Country (2017-2022) & (US$ Million)
Table 37. North America Deep Learning Market Size by Country (2023-2028) & (US$ Million)
Table 38. Europe Deep Learning Market Size by Type (2017-2022) & (US$ Million)
Table 39. Europe Deep Learning Market Size by Type (2023-2028) & (US$ Million)
Table 40. Europe Deep Learning Market Size by Application (2017-2022) & (US$ Million)
Table 41. Europe Deep Learning Market Size by Application (2023-2028) & (US$ Million)
Table 42. Europe Deep Learning Market Size by Country (2017-2022) & (US$ Million)
Table 43. Europe Deep Learning Market Size by Country (2023-2028) & (US$ Million)
Table 44. Asia Pacific Deep Learning Market Size by Type (2017-2022) & (US$ Million)
Table 45. Asia Pacific Deep Learning Market Size by Type (2023-2028) & (US$ Million)
Table 46. Asia Pacific Deep Learning Market Size by Application (2017-2022) & (US$ Million)
Table 47. Asia Pacific Deep Learning Market Size by Application (2023-2028) & (US$ Million)
Table 48. Asia Pacific Deep Learning Market Size by Region (2017-2022) & (US$ Million)
Table 49. Asia Pacific Deep Learning Market Size by Region (2023-2028) & (US$ Million)
Table 50. Latin America Deep Learning Market Size by Type (2017-2022) & (US$ Million)
Table 51. Latin America Deep Learning Market Size by Type (2023-2028) & (US$ Million)
Table 52. Latin America Deep Learning Market Size by Application (2017-2022) & (US$ Million)
Table 53. Latin America Deep Learning Market Size by Application (2023-2028) & (US$ Million)
Table 54. Latin America Deep Learning Market Size by Country (2017-2022) & (US$ Million)
Table 55. Latin America Deep Learning Market Size by Country (2023-2028) & (US$ Million)
Table 56. Middle East and Africa Deep Learning Market Size by Type (2017-2022) & (US$ Million)
Table 57. Middle East and Africa Deep Learning Market Size by Type (2023-2028) & (US$ Million)
Table 58. Middle East and Africa Deep Learning Market Size by Application (2017-2022) & (US$ Million)
Table 59. Middle East and Africa Deep Learning Market Size by Application (2023-2028) & (US$ Million)
Table 60. Middle East and Africa Deep Learning Market Size by Country (2017-2022) & (US$ Million)
Table 61. Middle East and Africa Deep Learning Market Size by Country (2023-2028) & (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 (2017-2022) & (US$ Million)
Table 66. Amazon Web Services (AWS) Recent Developments
Table 67. Google Company Details
Table 68. Google Business Overview
Table 69. Google Deep Learning Product
Table 70. Google Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 71. Google Recent Developments
Table 72. IBM Company Details
Table 73. IBM Business Overview
Table 74. IBM Deep Learning Product
Table 75. IBM Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 76. IBM Recent Developments
Table 77. Intel Company Details
Table 78. Intel Business Overview
Table 79. Intel Deep Learning Product
Table 80. Intel Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 81. Intel Recent Developments
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 (2017-2022) & (US$ Million)
Table 86. Micron Technology Recent Developments
Table 87. Microsoft Company Details
Table 88. Microsoft Business Overview
Table 89. Microsoft Deep Learning Product
Table 90. Microsoft Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 91. Microsoft Recent Developments
Table 92. Nvidia Company Details
Table 93. Nvidia Business Overview
Table 94. Nvidia Deep Learning Product
Table 95. Nvidia Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 96. Nvidia Recent Developments
Table 97. Qualcomm Company Details
Table 98. Qualcomm Business Overview
Table 99. Qualcomm Deep Learning Product
Table 100. Qualcomm Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 101. Qualcomm Recent Developments
Table 102. Samsung Company Details
Table 103. Samsung Business Overview
Table 104. Samsung Deep Learning Product
Table 105. Samsung Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 106. Samsung Recent Developments
Table 107. Sensory Inc. Company Details
Table 108. Sensory Inc. Business Overview
Table 109. Sensory Inc. Deep Learning Product
Table 110. Sensory Inc. Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 111. Sensory Inc. Recent Developments
Table 112. Skymind Company Details
Table 113. Skymind Business Overview
Table 114. Skymind Deep Learning Product
Table 115. Skymind Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 116. Skymind Recent Developments
Table 117. Xilinx Company Details
Table 118. Xilinx Business Overview
Table 119. Xilinx Deep Learning Product
Table 120. Xilinx Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 121. Xilinx Recent Developments
Table 122. AMD Company Details
Table 123. AMD Business Overview
Table 124. AMD Deep Learning Product
Table 125. AMD Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 126. AMD Recent Developments
Table 127. General Vision Company Details
Table 128. General Vision Business Overview
Table 129. General Vision Deep Learning Product
Table 130. General Vision Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 131. General Vision Recent Developments
Table 132. Graphcore Company Details
Table 133. Graphcore Business Overview
Table 134. Graphcore Deep Learning Product
Table 135. Graphcore Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 136. Graphcore Recent Developments
Table 137. Mellanox Technologies Company Details
Table 138. Mellanox Technologies Business Overview
Table 139. Mellanox Technologies Deep Learning Product
Table 140. Mellanox Technologies Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 141. Mellanox Technologies Recent Developments
Table 142. Huawei Technologies Company Details
Table 143. Huawei Technologies Business Overview
Table 144. Huawei Technologies Deep Learning Product
Table 145. Huawei Technologies Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 146. Huawei Technologies Recent Developments
Table 147. Fujitsu Company Details
Table 148. Fujitsu Business Overview
Table 149. Fujitsu Deep Learning Product
Table 150. Fujitsu Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 151. Fujitsu Recent Developments
Table 152. Baidu Company Details
Table 153. Baidu Business Overview
Table 154. Baidu Deep Learning Product
Table 155. Baidu Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 156. Baidu Recent Developments
Table 157. Mythic Company Details
Table 158. Mythic Business Overview
Table 159. Mythic Deep Learning Product
Table 160. Mythic Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 161. Mythic Recent Developments
Table 162. Adapteva Company Details
Table 163. Adapteva Business Overview
Table 164. Adapteva Deep Learning Product
Table 165. Adapteva Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 166. Adapteva Recent Developments
Table 167. Koniku Company Details
Table 168. Koniku Business Overview
Table 169. Koniku Deep Learning Product
Table 170. Koniku Revenue in Deep Learning Business (2017-2022) & (US$ Million)
Table 171. Koniku Recent Developments
Table 172. Research Programs/Design for This Report
Table 173. Key Data Information from Secondary Sources
Table 174. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Deep Learning Market Share by Type: 2021 VS 2028
Figure 2. Hardware Features
Figure 3. Software Features
Figure 4. Services Features
Figure 5. Global Deep Learning Market Share by Application: 2021 VS 2028
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: 2017-2028
Figure 16. Global Deep Learning Market Size, (US$ Million), 2017 VS 2021 VS 2028
Figure 17. Global Deep Learning Market Share by Region: 2021 VS 2028
Figure 18. Global Deep Learning Market Share by Players in 2021
Figure 19. Global Top Deep Learning Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning as of 2021)
Figure 20. The Top 10 and 5 Players Market Share by Deep Learning Revenue in 2021
Figure 21. North America Deep Learning Market Size YoY (2017-2028) & (US$ Million)
Figure 22. North America Deep Learning Market Size Market Share by Type (2017-2028)
Figure 23. North America Deep Learning Market Size Market Share by Application (2017-2028)
Figure 24. North America Deep Learning Market Size Share by Country (2017-2028)
Figure 25. United States Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 26. Canada Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 27. Europe Deep Learning Market Size YoY (2017-2028) & (US$ Million)
Figure 28. Europe Deep Learning Market Size Market Share by Type (2017-2028)
Figure 29. Europe Deep Learning Market Size Market Share by Application (2017-2028)
Figure 30. Europe Deep Learning Market Size Share by Country (2017-2028)
Figure 31. Germany Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 32. France Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 33. U.K. Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 34. Italy Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 35. Russia Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 36. Nordic Countries Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 37. Asia-Pacific Deep Learning Market Size YoY (2017-2028) & (US$ Million)
Figure 38. Asia Pacific Deep Learning Market Size Market Share by Type (2017-2028)
Figure 39. Asia Pacific Deep Learning Market Size Market Share by Application (2017-2028)
Figure 40. Asia Pacific Deep Learning Market Size Share by Region (2017-2028)
Figure 41. China Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 42. Japan Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 43. South Korea Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 44. Southeast Asia Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 45. India Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 46. Australia Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
List of Figures
Figure 47. Latin America Deep Learning Market Size YoY (2017-2028) & (US$ Million)
Figure 48. Latin America Deep Learning Market Size Market Share by Type (2017-2028)
Figure 49. Latin America Deep Learning Market Size Market Share by Application (2017-2028)
Figure 50. Latin America Deep Learning Market Size Share by Country (2017-2028)
Figure 51. Mexico Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 52. Brazil Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 53. Middle East & Africa Deep Learning Market Size YoY (2017-2028) & (US$ Million)
Figure 54. Middle East and Africa Deep Learning Market Size Market Share by Type (2017-2028)
Figure 55. Middle East and Africa Deep Learning Market Size Market Share by Application (2017-2028)
Figure 56. Middle East and Africa Deep Learning Market Size Share by Country (2017-2028)
Figure 57. Turkey Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 58. Saudi Arabia Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 59. UAE Deep Learning Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 60. Amazon Web Services (AWS) Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 61. Google Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 62. IBM Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 63. Intel Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 64. Micron Technology Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 65. Microsoft Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 66. Nvidia Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 67. Qualcomm Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 68. Samsung Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 69. Sensory Inc. Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 70. Skymind Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 71. Xilinx Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 72. AMD Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 73. General Vision Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 74. Graphcore Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 75. Mellanox Technologies Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 76. Huawei Technologies Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 77. Fujitsu Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 78. Baidu Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 79. Mythic Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 80. Adapteva Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 81. Koniku Revenue Growth Rate in Deep Learning Business (2017-2022)
Figure 82. Bottom-up and Top-down Approaches for This Report
Figure 83. Data Triangulation
Figure 84. Key Executives Interviewed
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