The Market Reports
Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com
Global Deep Learning in Manufacturing Market Research Report 2024
Synopsis
Deep learning provides advanced analytics tools for processing and analysing big manufacturing data. ... Subsequently, computational methods based on deep learning are presented specially aim to improve system performance in manufacturing. Several representative deep learning models are comparably discussed.
The global Deep Learning in Manufacturing market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
Deep Learning is a subfield of machine learning that focuses on training artificial neural networks to mimic human cognitive processes, such as visual, auditory, and linguistic understanding. It has seen significant growth and adoption across various industries, including search technology, data mining, machine translation, natural language processing, multimedia learning, speech recognition, and recommendation systems.
The Deep Learning market is expected to grow at a rapid pace in the coming years, driven by increasing demand for advanced analytics, growing adoption of AI in various industries, and improvements in computational capabilities.
Some trends driving the Deep Learning market include:
1. The increasing availability of large datasets: As the volume, variety, and complexity of data continue to grow, Deep Learning algorithms can leverage these datasets to improve their performance and accuracy.
2. Adoption in industries: Deep Learning is being widely adopted in industries such as healthcare, finance, retail, automotive, and cybersecurity to automate tasks, improve efficiency, and make data-driven decisions.
3. Enhanced automation and robotics: Deep Learning is enabling the development of advanced robots and autonomous systems that can perform tasks requiring human-like intelligence.
4. Integration with other AI technologies: Deep Learning is increasingly being combined with other AI technologies such as machine learning, computer vision, and natural language processing to create more sophisticated applications.
5. Progress in hardware and infrastructure: Advances in hardware and infrastructure, such as GPUs and cloud computing, have made it possible to deploy and scale Deep Learning models more efficiently and cost-effectively.
6. Ongoing research and development: The Deep Learning field is constantly evolving, with researchers and developers working on improving algorithms, models, and applications.
Overall, the Deep Learning market is expected to continue its strong growth trajectory in the coming years, as more and more industries adopt these advanced technologies to drive innovation and improve operations.
This report aims to provide a comprehensive presentation of the global market for Deep Learning in Manufacturing, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning in Manufacturing.
Report Scope
The Deep Learning in Manufacturing market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning in Manufacturing market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deep Learning in Manufacturing companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA (US)
Intel (US)
Xilinx (US)
Samsung Electronics (South Korea)
Micron Technology (US)
Qualcomm (US)
IBM (US)
Google (US)
Microsoft (US)
AWS (US)
Graphcore (UK)
Mythic (US)
Adapteva (US)
Koniku (US)
Segment by Type
Hardware
Software
Service
Segment by Application
Material Movement
Predictive Maintenance and Machinery Inspection
Production Planning
Field Services
Quality Control
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning in Manufacturing companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Deep learning provides advanced analytics tools for processing and analysing big manufacturing data. ... Subsequently, computational methods based on deep learning are presented specially aim to improve system performance in manufacturing. Several representative deep learning models are comparably discussed.
The global Deep Learning in Manufacturing market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
Deep Learning is a subfield of machine learning that focuses on training artificial neural networks to mimic human cognitive processes, such as visual, auditory, and linguistic understanding. It has seen significant growth and adoption across various industries, including search technology, data mining, machine translation, natural language processing, multimedia learning, speech recognition, and recommendation systems.
The Deep Learning market is expected to grow at a rapid pace in the coming years, driven by increasing demand for advanced analytics, growing adoption of AI in various industries, and improvements in computational capabilities.
Some trends driving the Deep Learning market include:
1. The increasing availability of large datasets: As the volume, variety, and complexity of data continue to grow, Deep Learning algorithms can leverage these datasets to improve their performance and accuracy.
2. Adoption in industries: Deep Learning is being widely adopted in industries such as healthcare, finance, retail, automotive, and cybersecurity to automate tasks, improve efficiency, and make data-driven decisions.
3. Enhanced automation and robotics: Deep Learning is enabling the development of advanced robots and autonomous systems that can perform tasks requiring human-like intelligence.
4. Integration with other AI technologies: Deep Learning is increasingly being combined with other AI technologies such as machine learning, computer vision, and natural language processing to create more sophisticated applications.
5. Progress in hardware and infrastructure: Advances in hardware and infrastructure, such as GPUs and cloud computing, have made it possible to deploy and scale Deep Learning models more efficiently and cost-effectively.
6. Ongoing research and development: The Deep Learning field is constantly evolving, with researchers and developers working on improving algorithms, models, and applications.
Overall, the Deep Learning market is expected to continue its strong growth trajectory in the coming years, as more and more industries adopt these advanced technologies to drive innovation and improve operations.
This report aims to provide a comprehensive presentation of the global market for Deep Learning in Manufacturing, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning in Manufacturing.
Report Scope
The Deep Learning in Manufacturing market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning in Manufacturing market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deep Learning in Manufacturing companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA (US)
Intel (US)
Xilinx (US)
Samsung Electronics (South Korea)
Micron Technology (US)
Qualcomm (US)
IBM (US)
Google (US)
Microsoft (US)
AWS (US)
Graphcore (UK)
Mythic (US)
Adapteva (US)
Koniku (US)
Segment by Type
Hardware
Software
Service
Segment by Application
Material Movement
Predictive Maintenance and Machinery Inspection
Production Planning
Field Services
Quality Control
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning in Manufacturing companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning in Manufacturing Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 Market by Application
1.3.1 Global Deep Learning in Manufacturing Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Material Movement
1.3.3 Predictive Maintenance and Machinery Inspection
1.3.4 Production Planning
1.3.5 Field Services
1.3.6 Quality Control
1.3.7 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning in Manufacturing Market Perspective (2019-2030)
2.2 Deep Learning in Manufacturing Growth Trends by Region
2.2.1 Global Deep Learning in Manufacturing Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deep Learning in Manufacturing Historic Market Size by Region (2019-2024)
2.2.3 Deep Learning in Manufacturing Forecasted Market Size by Region (2025-2030)
2.3 Deep Learning in Manufacturing Market Dynamics
2.3.1 Deep Learning in Manufacturing Industry Trends
2.3.2 Deep Learning in Manufacturing Market Drivers
2.3.3 Deep Learning in Manufacturing Market Challenges
2.3.4 Deep Learning in Manufacturing Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Deep Learning in Manufacturing Players by Revenue
3.1.1 Global Top Deep Learning in Manufacturing Players by Revenue (2019-2024)
3.1.2 Global Deep Learning in Manufacturing Revenue Market Share by Players (2019-2024)
3.2 Global Deep Learning in Manufacturing Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Deep Learning in Manufacturing Revenue
3.4 Global Deep Learning in Manufacturing Market Concentration Ratio
3.4.1 Global Deep Learning in Manufacturing Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning in Manufacturing Revenue in 2023
3.5 Deep Learning in Manufacturing Key Players Head office and Area Served
3.6 Key Players Deep Learning in Manufacturing Product Solution and Service
3.7 Date of Enter into Deep Learning in Manufacturing Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning in Manufacturing Breakdown Data by Type
4.1 Global Deep Learning in Manufacturing Historic Market Size by Type (2019-2024)
4.2 Global Deep Learning in Manufacturing Forecasted Market Size by Type (2025-2030)
5 Deep Learning in Manufacturing Breakdown Data by Application
5.1 Global Deep Learning in Manufacturing Historic Market Size by Application (2019-2024)
5.2 Global Deep Learning in Manufacturing Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Deep Learning in Manufacturing Market Size (2019-2030)
6.2 North America Deep Learning in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Deep Learning in Manufacturing Market Size by Country (2019-2024)
6.4 North America Deep Learning in Manufacturing Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Deep Learning in Manufacturing Market Size (2019-2030)
7.2 Europe Deep Learning in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Deep Learning in Manufacturing Market Size by Country (2019-2024)
7.4 Europe Deep Learning in Manufacturing Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning in Manufacturing Market Size (2019-2030)
8.2 Asia-Pacific Deep Learning in Manufacturing Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Deep Learning in Manufacturing Market Size by Region (2019-2024)
8.4 Asia-Pacific Deep Learning in Manufacturing Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Deep Learning in Manufacturing Market Size (2019-2030)
9.2 Latin America Deep Learning in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Deep Learning in Manufacturing Market Size by Country (2019-2024)
9.4 Latin America Deep Learning in Manufacturing Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning in Manufacturing Market Size (2019-2030)
10.2 Middle East & Africa Deep Learning in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Deep Learning in Manufacturing Market Size by Country (2019-2024)
10.4 Middle East & Africa Deep Learning in Manufacturing Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA (US)
11.1.1 NVIDIA (US) Company Detail
11.1.2 NVIDIA (US) Business Overview
11.1.3 NVIDIA (US) Deep Learning in Manufacturing Introduction
11.1.4 NVIDIA (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.1.5 NVIDIA (US) Recent Development
11.2 Intel (US)
11.2.1 Intel (US) Company Detail
11.2.2 Intel (US) Business Overview
11.2.3 Intel (US) Deep Learning in Manufacturing Introduction
11.2.4 Intel (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.2.5 Intel (US) Recent Development
11.3 Xilinx (US)
11.3.1 Xilinx (US) Company Detail
11.3.2 Xilinx (US) Business Overview
11.3.3 Xilinx (US) Deep Learning in Manufacturing Introduction
11.3.4 Xilinx (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.3.5 Xilinx (US) Recent Development
11.4 Samsung Electronics (South Korea)
11.4.1 Samsung Electronics (South Korea) Company Detail
11.4.2 Samsung Electronics (South Korea) Business Overview
11.4.3 Samsung Electronics (South Korea) Deep Learning in Manufacturing Introduction
11.4.4 Samsung Electronics (South Korea) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.4.5 Samsung Electronics (South Korea) Recent Development
11.5 Micron Technology (US)
11.5.1 Micron Technology (US) Company Detail
11.5.2 Micron Technology (US) Business Overview
11.5.3 Micron Technology (US) Deep Learning in Manufacturing Introduction
11.5.4 Micron Technology (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.5.5 Micron Technology (US) Recent Development
11.6 Qualcomm (US)
11.6.1 Qualcomm (US) Company Detail
11.6.2 Qualcomm (US) Business Overview
11.6.3 Qualcomm (US) Deep Learning in Manufacturing Introduction
11.6.4 Qualcomm (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.6.5 Qualcomm (US) Recent Development
11.7 IBM (US)
11.7.1 IBM (US) Company Detail
11.7.2 IBM (US) Business Overview
11.7.3 IBM (US) Deep Learning in Manufacturing Introduction
11.7.4 IBM (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.7.5 IBM (US) Recent Development
11.8 Google (US)
11.8.1 Google (US) Company Detail
11.8.2 Google (US) Business Overview
11.8.3 Google (US) Deep Learning in Manufacturing Introduction
11.8.4 Google (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.8.5 Google (US) Recent Development
11.9 Microsoft (US)
11.9.1 Microsoft (US) Company Detail
11.9.2 Microsoft (US) Business Overview
11.9.3 Microsoft (US) Deep Learning in Manufacturing Introduction
11.9.4 Microsoft (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.9.5 Microsoft (US) Recent Development
11.10 AWS (US)
11.10.1 AWS (US) Company Detail
11.10.2 AWS (US) Business Overview
11.10.3 AWS (US) Deep Learning in Manufacturing Introduction
11.10.4 AWS (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.10.5 AWS (US) Recent Development
11.11 Graphcore (UK)
11.11.1 Graphcore (UK) Company Detail
11.11.2 Graphcore (UK) Business Overview
11.11.3 Graphcore (UK) Deep Learning in Manufacturing Introduction
11.11.4 Graphcore (UK) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.11.5 Graphcore (UK) Recent Development
11.12 Mythic (US)
11.12.1 Mythic (US) Company Detail
11.12.2 Mythic (US) Business Overview
11.12.3 Mythic (US) Deep Learning in Manufacturing Introduction
11.12.4 Mythic (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.12.5 Mythic (US) Recent Development
11.13 Adapteva (US)
11.13.1 Adapteva (US) Company Detail
11.13.2 Adapteva (US) Business Overview
11.13.3 Adapteva (US) Deep Learning in Manufacturing Introduction
11.13.4 Adapteva (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.13.5 Adapteva (US) Recent Development
11.14 Koniku (US)
11.14.1 Koniku (US) Company Detail
11.14.2 Koniku (US) Business Overview
11.14.3 Koniku (US) Deep Learning in Manufacturing Introduction
11.14.4 Koniku (US) Revenue in Deep Learning in Manufacturing Business (2019-2024)
11.14.5 Koniku (US) 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 TablesList of Tables
Table 1. Global Deep Learning in Manufacturing Market Size Growth Rate by Type (US$ Million): 2019 VS 2023 VS 2030
Table 2. Key Players of Hardware
Table 3. Key Players of Software
Table 4. Key Players of Service
Table 5. Global Deep Learning in Manufacturing Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030
Table 6. Global Deep Learning in Manufacturing Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
Table 7. Global Deep Learning in Manufacturing Market Size by Region (2019-2024) & (US$ Million)
Table 8. Global Deep Learning in Manufacturing Market Share by Region (2019-2024)
Table 9. Global Deep Learning in Manufacturing Forecasted Market Size by Region (2025-2030) & (US$ Million)
Table 10. Global Deep Learning in Manufacturing Market Share by Region (2025-2030)
Table 11. Deep Learning in Manufacturing Market Trends
Table 12. Deep Learning in Manufacturing Market Drivers
Table 13. Deep Learning in Manufacturing Market Challenges
Table 14. Deep Learning in Manufacturing Market Restraints
Table 15. Global Deep Learning in Manufacturing Revenue by Players (2019-2024) & (US$ Million)
Table 16. Global Deep Learning in Manufacturing Market Share by Players (2019-2024)
Table 17. Global Top Deep Learning in Manufacturing Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning in Manufacturing as of 2023)
Table 18. Ranking of Global Top Deep Learning in Manufacturing Companies by Revenue (US$ Million) in 2023
Table 19. Global 5 Largest Players Market Share by Deep Learning in Manufacturing Revenue (CR5 and HHI) & (2019-2024)
Table 20. Key Players Headquarters and Area Served
Table 21. Key Players Deep Learning in Manufacturing Product Solution and Service
Table 22. Date of Enter into Deep Learning in Manufacturing Market
Table 23. Mergers & Acquisitions, Expansion Plans
Table 24. Global Deep Learning in Manufacturing Market Size by Type (2019-2024) & (US$ Million)
Table 25. Global Deep Learning in Manufacturing Revenue Market Share by Type (2019-2024)
Table 26. Global Deep Learning in Manufacturing Forecasted Market Size by Type (2025-2030) & (US$ Million)
Table 27. Global Deep Learning in Manufacturing Revenue Market Share by Type (2025-2030)
Table 28. Global Deep Learning in Manufacturing Market Size by Application (2019-2024) & (US$ Million)
Table 29. Global Deep Learning in Manufacturing Revenue Market Share by Application (2019-2024)
Table 30. Global Deep Learning in Manufacturing Forecasted Market Size by Application (2025-2030) & (US$ Million)
Table 31. Global Deep Learning in Manufacturing Revenue Market Share by Application (2025-2030)
Table 32. North America Deep Learning in Manufacturing Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 33. North America Deep Learning in Manufacturing Market Size by Country (2019-2024) & (US$ Million)
Table 34. North America Deep Learning in Manufacturing Market Size by Country (2025-2030) & (US$ Million)
Table 35. Europe Deep Learning in Manufacturing Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 36. Europe Deep Learning in Manufacturing Market Size by Country (2019-2024) & (US$ Million)
Table 37. Europe Deep Learning in Manufacturing Market Size by Country (2025-2030) & (US$ Million)
Table 38. Asia-Pacific Deep Learning in Manufacturing Market Size Growth Rate by Region (US$ Million): 2019 VS 2023 VS 2030
Table 39. Asia-Pacific Deep Learning in Manufacturing Market Size by Region (2019-2024) & (US$ Million)
Table 40. Asia-Pacific Deep Learning in Manufacturing Market Size by Region (2025-2030) & (US$ Million)
Table 41. Latin America Deep Learning in Manufacturing Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 42. Latin America Deep Learning in Manufacturing Market Size by Country (2019-2024) & (US$ Million)
Table 43. Latin America Deep Learning in Manufacturing Market Size by Country (2025-2030) & (US$ Million)
Table 44. Middle East & Africa Deep Learning in Manufacturing Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 45. Middle East & Africa Deep Learning in Manufacturing Market Size by Country (2019-2024) & (US$ Million)
Table 46. Middle East & Africa Deep Learning in Manufacturing Market Size by Country (2025-2030) & (US$ Million)
Table 47. NVIDIA (US) Company Detail
Table 48. NVIDIA (US) Business Overview
Table 49. NVIDIA (US) Deep Learning in Manufacturing Product
Table 50. NVIDIA (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 51. NVIDIA (US) Recent Development
Table 52. Intel (US) Company Detail
Table 53. Intel (US) Business Overview
Table 54. Intel (US) Deep Learning in Manufacturing Product
Table 55. Intel (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 56. Intel (US) Recent Development
Table 57. Xilinx (US) Company Detail
Table 58. Xilinx (US) Business Overview
Table 59. Xilinx (US) Deep Learning in Manufacturing Product
Table 60. Xilinx (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 61. Xilinx (US) Recent Development
Table 62. Samsung Electronics (South Korea) Company Detail
Table 63. Samsung Electronics (South Korea) Business Overview
Table 64. Samsung Electronics (South Korea) Deep Learning in Manufacturing Product
Table 65. Samsung Electronics (South Korea) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 66. Samsung Electronics (South Korea) Recent Development
Table 67. Micron Technology (US) Company Detail
Table 68. Micron Technology (US) Business Overview
Table 69. Micron Technology (US) Deep Learning in Manufacturing Product
Table 70. Micron Technology (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 71. Micron Technology (US) Recent Development
Table 72. Qualcomm (US) Company Detail
Table 73. Qualcomm (US) Business Overview
Table 74. Qualcomm (US) Deep Learning in Manufacturing Product
Table 75. Qualcomm (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 76. Qualcomm (US) Recent Development
Table 77. IBM (US) Company Detail
Table 78. IBM (US) Business Overview
Table 79. IBM (US) Deep Learning in Manufacturing Product
Table 80. IBM (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 81. IBM (US) Recent Development
Table 82. Google (US) Company Detail
Table 83. Google (US) Business Overview
Table 84. Google (US) Deep Learning in Manufacturing Product
Table 85. Google (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 86. Google (US) Recent Development
Table 87. Microsoft (US) Company Detail
Table 88. Microsoft (US) Business Overview
Table 89. Microsoft (US) Deep Learning in Manufacturing Product
Table 90. Microsoft (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 91. Microsoft (US) Recent Development
Table 92. AWS (US) Company Detail
Table 93. AWS (US) Business Overview
Table 94. AWS (US) Deep Learning in Manufacturing Product
Table 95. AWS (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 96. AWS (US) Recent Development
Table 97. Graphcore (UK) Company Detail
Table 98. Graphcore (UK) Business Overview
Table 99. Graphcore (UK) Deep Learning in Manufacturing Product
Table 100. Graphcore (UK) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 101. Graphcore (UK) Recent Development
Table 102. Mythic (US) Company Detail
Table 103. Mythic (US) Business Overview
Table 104. Mythic (US) Deep Learning in Manufacturing Product
Table 105. Mythic (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 106. Mythic (US) Recent Development
Table 107. Adapteva (US) Company Detail
Table 108. Adapteva (US) Business Overview
Table 109. Adapteva (US) Deep Learning in Manufacturing Product
Table 110. Adapteva (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 111. Adapteva (US) Recent Development
Table 112. Koniku (US) Company Detail
Table 113. Koniku (US) Business Overview
Table 114. Koniku (US) Deep Learning in Manufacturing Product
Table 115. Koniku (US) Revenue in Deep Learning in Manufacturing Business (2019-2024) & (US$ Million)
Table 116. Koniku (US) Recent Development
Table 117. Research Programs/Design for This Report
Table 118. Key Data Information from Secondary Sources
Table 119. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Deep Learning in Manufacturing Market Size Comparison by Type (2024-2030) & (US$ Million)
Figure 2. Global Deep Learning in Manufacturing Market Share by Type: 2023 VS 2030
Figure 3. Hardware Features
Figure 4. Software Features
Figure 5. Service Features
Figure 6. Global Deep Learning in Manufacturing Market Size Comparison by Application (2024-2030) & (US$ Million)
Figure 7. Global Deep Learning in Manufacturing Market Share by Application: 2023 VS 2030
Figure 8. Material Movement Case Studies
Figure 9. Predictive Maintenance and Machinery Inspection Case Studies
Figure 10. Production Planning Case Studies
Figure 11. Field Services Case Studies
Figure 12. Quality Control Case Studies
Figure 13. Other Case Studies
Figure 14. Deep Learning in Manufacturing Report Years Considered
Figure 15. Global Deep Learning in Manufacturing Market Size (US$ Million), Year-over-Year: 2019-2030
Figure 16. Global Deep Learning in Manufacturing Market Size, (US$ Million), 2019 VS 2023 VS 2030
Figure 17. Global Deep Learning in Manufacturing Market Share by Region: 2023 VS 2030
Figure 18. Global Deep Learning in Manufacturing Market Share by Players in 2023
Figure 19. Global Top Deep Learning in Manufacturing Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Deep Learning in Manufacturing as of 2023)
Figure 20. The Top 10 and 5 Players Market Share by Deep Learning in Manufacturing Revenue in 2023
Figure 21. North America Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 22. North America Deep Learning in Manufacturing Market Share by Country (2019-2030)
Figure 23. United States Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 24. Canada Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 25. Europe Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 26. Europe Deep Learning in Manufacturing Market Share by Country (2019-2030)
Figure 27. Germany Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 28. France Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 29. U.K. Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 30. Italy Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 31. Russia Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 32. Nordic Countries Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 33. Asia-Pacific Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 34. Asia-Pacific Deep Learning in Manufacturing Market Share by Region (2019-2030)
Figure 35. China Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 36. Japan Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 37. South Korea Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 38. Southeast Asia Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 39. India Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 40. Australia Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 41. Latin America Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 42. Latin America Deep Learning in Manufacturing Market Share by Country (2019-2030)
Figure 43. Mexico Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 44. Brazil Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 45. Middle East & Africa Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 46. Middle East & Africa Deep Learning in Manufacturing Market Share by Country (2019-2030)
Figure 47. Turkey Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 48. Saudi Arabia Deep Learning in Manufacturing Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 49. NVIDIA (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 50. Intel (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 51. Xilinx (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 52. Samsung Electronics (South Korea) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 53. Micron Technology (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 54. Qualcomm (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 55. IBM (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 56. Google (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 57. Microsoft (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 58. AWS (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 59. Graphcore (UK) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 60. Mythic (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 61. Adapteva (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 62. Koniku (US) Revenue Growth Rate in Deep Learning in Manufacturing Business (2019-2024)
Figure 63. Bottom-up and Top-down Approaches for This Report
Figure 64. Data Triangulation
Figure 65. Key Executives Interviewed
Published By : QY Research
Why ‘The Market Reports’
In Business:
Pre Sales Support:
Post Sales Support:
Turn Around Time:
Clients Served:
Clients Assisted:
Client Types:
Payment:
- Accept global payments [Credit Card / PayPal / Wire Transfer]
- Accept local payments in South Korea, Germany, China and India [Can pay in local currency]
Latest IT & Electronics Market Reports
Payments Accepted From
Connect with us at
Complete Secure Website
