This report contains market size and forecasts of Deep Learning in Manufacturing in Global, including the following market information:
Global Deep Learning in Manufacturing Market Revenue, 2016-2021, 2022-2027, ($ millions)
Global top five companies in 2020 (%)
The global Deep Learning in Manufacturing market was valued at xx million in 2020 and is projected to reach US$ xx million by 2027, at a CAGR of xx% during the forecast period.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Deep Learning in Manufacturing companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Deep Learning in Manufacturing Market, By Type, 2016-2021, 2022-2027 ($ millions)
Global Deep Learning in Manufacturing Market Segment Percentages, By Type, 2020 (%)
Hardware
Software
Service
China Deep Learning in Manufacturing Market, By Application, 2016-2021, 2022-2027 ($ millions)
China Deep Learning in Manufacturing Market Segment Percentages, By Application, 2020 (%)
Material Movement
Predictive Maintenance and Machinery Inspection
Production Planning
Field Services
Quality Control
Other
Global Deep Learning in Manufacturing Market, By Region and Country, 2016-2021, 2022-2027 ($ Millions)
Global Deep Learning in Manufacturing Market Segment Percentages, By Region and Country, 2020 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Total Deep Learning in Manufacturing Market Competitors Revenues in Global, by Players 2016-2021 (Estimated), ($ millions)
Total Deep Learning in Manufacturing Market Competitors Revenues Share in Global, by Players 2020 (%)
Further, the report presents profiles of competitors in the market, including the following:
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)
Table of Contents
1 Introduction to Research & Analysis Reports
1.1 Deep Learning in Manufacturing Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global Deep Learning in Manufacturing Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global Deep Learning in Manufacturing Overall Market Size
2.1 Global Deep Learning in Manufacturing Market Size: 2021 VS 2027
2.2 Global Deep Learning in Manufacturing Market Size, Prospects & Forecasts: 2016-2027
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top Deep Learning in Manufacturing Players in Global Market
3.2 Top Global Deep Learning in Manufacturing Companies Ranked by Revenue
3.3 Global Deep Learning in Manufacturing Revenue by Companies
3.4 Top 3 and Top 5 Deep Learning in Manufacturing Companies in Global Market, by Revenue in 2020
3.5 Global Companies Deep Learning in Manufacturing Product Type
3.6 Tier 1, Tier 2 and Tier 3 Deep Learning in Manufacturing Players in Global Market
3.6.1 List of Global Tier 1 Deep Learning in Manufacturing Companies
3.6.2 List of Global Tier 2 and Tier 3 Deep Learning in Manufacturing Companies
4 Market Sights by Product
4.1 Overview
4.1.1 By Type - Global Deep Learning in Manufacturing Market Size Markets, 2021 & 2027
4.1.2 Hardware
4.1.3 Software
4.1.4 Service
4.2 By Type - Global Deep Learning in Manufacturing Revenue & Forecasts
4.2.1 By Type - Global Deep Learning in Manufacturing Revenue, 2016-2021
4.2.2 By Type - Global Deep Learning in Manufacturing Revenue, 2022-2027
4.2.3 By Type - Global Deep Learning in Manufacturing Revenue Market Share, 2016-2027
5 Sights by Application
5.1 Overview
5.1.1 By Application - Global Deep Learning in Manufacturing Market Size, 2021 & 2027
5.1.2 Material Movement
5.1.3 Predictive Maintenance and Machinery Inspection
5.1.4 Production Planning
5.1.5 Field Services
5.1.6 Quality Control
5.1.7 Other
5.2 By Application - Global Deep Learning in Manufacturing Revenue & Forecasts
5.2.1 By Application - Global Deep Learning in Manufacturing Revenue, 2016-2021
5.2.2 By Application - Global Deep Learning in Manufacturing Revenue, 2022-2027
5.2.3 By Application - Global Deep Learning in Manufacturing Revenue Market Share, 2016-2027
6 Sights by Region
6.1 By Region - Global Deep Learning in Manufacturing Market Size, 2021 & 2027
6.2 By Region - Global Deep Learning in Manufacturing Revenue & Forecasts
6.2.1 By Region - Global Deep Learning in Manufacturing Revenue, 2016-2021
6.2.2 By Region - Global Deep Learning in Manufacturing Revenue, 2022-2027
6.2.3 By Region - Global Deep Learning in Manufacturing Revenue Market Share, 2016-2027
6.3 North America
6.3.1 By Country - North America Deep Learning in Manufacturing Revenue, 2016-2027
6.3.2 US Deep Learning in Manufacturing Market Size, 2016-2027
6.3.3 Canada Deep Learning in Manufacturing Market Size, 2016-2027
6.3.4 Mexico Deep Learning in Manufacturing Market Size, 2016-2027
6.4 Europe
6.4.1 By Country - Europe Deep Learning in Manufacturing Revenue, 2016-2027
6.4.2 Germany Deep Learning in Manufacturing Market Size, 2016-2027
6.4.3 France Deep Learning in Manufacturing Market Size, 2016-2027
6.4.4 U.K. Deep Learning in Manufacturing Market Size, 2016-2027
6.4.5 Italy Deep Learning in Manufacturing Market Size, 2016-2027
6.4.6 Russia Deep Learning in Manufacturing Market Size, 2016-2027
6.4.7 Nordic Countries Deep Learning in Manufacturing Market Size, 2016-2027
6.4.8 Benelux Deep Learning in Manufacturing Market Size, 2016-2027
6.5 Asia
6.5.1 By Region - Asia Deep Learning in Manufacturing Revenue, 2016-2027
6.5.2 China Deep Learning in Manufacturing Market Size, 2016-2027
6.5.3 Japan Deep Learning in Manufacturing Market Size, 2016-2027
6.5.4 South Korea Deep Learning in Manufacturing Market Size, 2016-2027
6.5.5 Southeast Asia Deep Learning in Manufacturing Market Size, 2016-2027
6.5.6 India Deep Learning in Manufacturing Market Size, 2016-2027
6.6 South America
6.6.1 By Country - South America Deep Learning in Manufacturing Revenue, 2016-2027
6.6.2 Brazil Deep Learning in Manufacturing Market Size, 2016-2027
6.6.3 Argentina Deep Learning in Manufacturing Market Size, 2016-2027
6.7 Middle East & Africa
6.7.1 By Country - Middle East & Africa Deep Learning in Manufacturing Revenue, 2016-2027
6.7.2 Turkey Deep Learning in Manufacturing Market Size, 2016-2027
6.7.3 Israel Deep Learning in Manufacturing Market Size, 2016-2027
6.7.4 Saudi Arabia Deep Learning in Manufacturing Market Size, 2016-2027
6.7.5 UAE Deep Learning in Manufacturing Market Size, 2016-2027
7 Players Profiles
7.1 NVIDIA (US)
7.1.1 NVIDIA (US) Corporate Summary
7.1.2 NVIDIA (US) Business Overview
7.1.3 NVIDIA (US) Deep Learning in Manufacturing Major Product Offerings
7.1.4 NVIDIA (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.1.5 NVIDIA (US) Key News
7.2 Intel (US)
7.2.1 Intel (US) Corporate Summary
7.2.2 Intel (US) Business Overview
7.2.3 Intel (US) Deep Learning in Manufacturing Major Product Offerings
7.2.4 Intel (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.2.5 Intel (US) Key News
7.3 Xilinx (US)
7.3.1 Xilinx (US) Corporate Summary
7.3.2 Xilinx (US) Business Overview
7.3.3 Xilinx (US) Deep Learning in Manufacturing Major Product Offerings
7.3.4 Xilinx (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.3.5 Xilinx (US) Key News
7.4 Samsung Electronics (South Korea)
7.4.1 Samsung Electronics (South Korea) Corporate Summary
7.4.2 Samsung Electronics (South Korea) Business Overview
7.4.3 Samsung Electronics (South Korea) Deep Learning in Manufacturing Major Product Offerings
7.4.4 Samsung Electronics (South Korea) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.4.5 Samsung Electronics (South Korea) Key News
7.5 Micron Technology (US)
7.5.1 Micron Technology (US) Corporate Summary
7.5.2 Micron Technology (US) Business Overview
7.5.3 Micron Technology (US) Deep Learning in Manufacturing Major Product Offerings
7.5.4 Micron Technology (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.5.5 Micron Technology (US) Key News
7.6 Qualcomm (US)
7.6.1 Qualcomm (US) Corporate Summary
7.6.2 Qualcomm (US) Business Overview
7.6.3 Qualcomm (US) Deep Learning in Manufacturing Major Product Offerings
7.6.4 Qualcomm (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.6.5 Qualcomm (US) Key News
7.7 IBM (US)
7.7.1 IBM (US) Corporate Summary
7.7.2 IBM (US) Business Overview
7.7.3 IBM (US) Deep Learning in Manufacturing Major Product Offerings
7.4.4 IBM (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.7.5 IBM (US) Key News
7.8 Google (US)
7.8.1 Google (US) Corporate Summary
7.8.2 Google (US) Business Overview
7.8.3 Google (US) Deep Learning in Manufacturing Major Product Offerings
7.8.4 Google (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.8.5 Google (US) Key News
7.9 Microsoft (US)
7.9.1 Microsoft (US) Corporate Summary
7.9.2 Microsoft (US) Business Overview
7.9.3 Microsoft (US) Deep Learning in Manufacturing Major Product Offerings
7.9.4 Microsoft (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.9.5 Microsoft (US) Key News
7.10 AWS (US)
7.10.1 AWS (US) Corporate Summary
7.10.2 AWS (US) Business Overview
7.10.3 AWS (US) Deep Learning in Manufacturing Major Product Offerings
7.10.4 AWS (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.10.5 AWS (US) Key News
7.11 Graphcore (UK)
7.11.1 Graphcore (UK) Corporate Summary
7.11.2 Graphcore (UK) Business Overview
7.11.3 Graphcore (UK) Deep Learning in Manufacturing Major Product Offerings
7.11.4 Graphcore (UK) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.11.5 Graphcore (UK) Key News
7.12 Mythic (US)
7.12.1 Mythic (US) Corporate Summary
7.12.2 Mythic (US) Business Overview
7.12.3 Mythic (US) Deep Learning in Manufacturing Major Product Offerings
7.12.4 Mythic (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.12.5 Mythic (US) Key News
7.13 Adapteva (US)
7.13.1 Adapteva (US) Corporate Summary
7.13.2 Adapteva (US) Business Overview
7.13.3 Adapteva (US) Deep Learning in Manufacturing Major Product Offerings
7.13.4 Adapteva (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.13.5 Adapteva (US) Key News
7.14 Koniku (US)
7.14.1 Koniku (US) Corporate Summary
7.14.2 Koniku (US) Business Overview
7.14.3 Koniku (US) Deep Learning in Manufacturing Major Product Offerings
7.14.4 Koniku (US) Deep Learning in Manufacturing Revenue in Global (2016-2021)
7.14.5 Koniku (US) Key News
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer
List of Tables
Table 1. Deep Learning in Manufacturing Market Opportunities & Trends in Global Market
Table 2. Deep Learning in Manufacturing Market Drivers in Global Market
Table 3. Deep Learning in Manufacturing Market Restraints in Global Market
Table 4. Key Players of Deep Learning in Manufacturing in Global Market
Table 5. Top Deep Learning in Manufacturing Players in Global Market, Ranking by Revenue (2019)
Table 6. Global Deep Learning in Manufacturing Revenue by Companies, (US$, Mn), 2016-2021
Table 7. Global Deep Learning in Manufacturing Revenue Share by Companies, 2016-2021
Table 8. Global Companies Deep Learning in Manufacturing Product Type
Table 9. List of Global Tier 1 Deep Learning in Manufacturing Companies, Revenue (US$, Mn) in 2020 and Market Share
Table 10. List of Global Tier 2 and Tier 3 Deep Learning in Manufacturing Companies, Revenue (US$, Mn) in 2020 and Market Share
Table 11. By Type
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)
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