Global Deep Learning Market Size, Trends and Opportunities 2022-2028
- Category: Automation
- Published Date: Aug 2022
- Publisher: DK Report
- Pages: 120
Due to the COVID-19 pandemic, the global Deep Learning market size is estimated to be worth US$ million in 2022 and is forecast to a readjusted size of US$ million by 2028 with a CAGR of % during the forecast period 2022-2028. Fully considering the economic change by this health crisis, Less Than 95% accounting for % of the Deep Learning global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Fruits and Vegetables segment is altered to an % CAGR throughout this forecast period.
North America Deep Learning market is estimated at US$ million in 2021, while Europe is forecast to reach US$ million by 2028. The proportion of the North America is % in 2021, while Europe percentage is %, and it is predicted that Europe share will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. As for the Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
Key segments including type and application have been elaborated in this report. The consultants at Intelligence Market Report have studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows production and revenue data by type and application during the historical period (2017-2022) and forecast period (2023-2028).
Solutions Covered:
• Hardware
• Software
• Services
Architecture Industry’s Covered:
• Recurrent Neural Network (RNN)
• Convolutional Neural Networks (CNN)
• Deep belief network (DBN)
• Deep Stacking Network (DSN)
• Gated Recurrent Unit (GRU).
Hardware Components Covered:
• Application-Specific Integration Circuit (ASIC)
• Central Processing Unit (CPU)
• Field Programmable Gate Array (FPGA)
• Graphics Processing Unit (GPU)
Applications Covered:
• Data Mining
• Image Recognition
• Signal Recognition
• Video Surveillance & Diagnostics
End Users Covered:
• Aerospace & Defense
• Agriculture
• Automotive
• Education
• Finance
• Industrial
• IT & Telecom
• Media & Advertising
• Medical
• Oil, Gas, & Energy
• Retail
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and production data of each region and country for the period 2017-2028. This information derived through comprehensive research will help the reader to get familiar with the potential value of the investment in a particular region.
Production by Region
North America
Europe
China
Japan
Consumption by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Colombia
Competitive Scenario
In this section, the readers will gain an understanding of the key players competing. The experts at Intelligence Market Report have studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and production by manufacturers for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Major market players in the market are Advanced Micro Devices, Inc., Amazon Web Services (AWS), ARM Ltd., Clarifai, Inc., Entilic, Google, IBM, Hewlett Packard Enterprise, HyperVerge, IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc , Samsung Electronics, Johnson Controls, Larsen & Toubro Infotech.
North America Deep Learning market is estimated at US$ million in 2021, while Europe is forecast to reach US$ million by 2028. The proportion of the North America is % in 2021, while Europe percentage is %, and it is predicted that Europe share will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. As for the Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
Key segments including type and application have been elaborated in this report. The consultants at Intelligence Market Report have studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows production and revenue data by type and application during the historical period (2017-2022) and forecast period (2023-2028).
Solutions Covered:
• Hardware
• Software
• Services
Architecture Industry’s Covered:
• Recurrent Neural Network (RNN)
• Convolutional Neural Networks (CNN)
• Deep belief network (DBN)
• Deep Stacking Network (DSN)
• Gated Recurrent Unit (GRU).
Hardware Components Covered:
• Application-Specific Integration Circuit (ASIC)
• Central Processing Unit (CPU)
• Field Programmable Gate Array (FPGA)
• Graphics Processing Unit (GPU)
Applications Covered:
• Data Mining
• Image Recognition
• Signal Recognition
• Video Surveillance & Diagnostics
End Users Covered:
• Aerospace & Defense
• Agriculture
• Automotive
• Education
• Finance
• Industrial
• IT & Telecom
• Media & Advertising
• Medical
• Oil, Gas, & Energy
• Retail
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and production data of each region and country for the period 2017-2028. This information derived through comprehensive research will help the reader to get familiar with the potential value of the investment in a particular region.
Production by Region
North America
Europe
China
Japan
Consumption by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Colombia
Competitive Scenario
In this section, the readers will gain an understanding of the key players competing. The experts at Intelligence Market Report have studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and production by manufacturers for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Major market players in the market are Advanced Micro Devices, Inc., Amazon Web Services (AWS), ARM Ltd., Clarifai, Inc., Entilic, Google, IBM, Hewlett Packard Enterprise, HyperVerge, IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc , Samsung Electronics, Johnson Controls, Larsen & Toubro Infotech.
1 Deep Learning Market Overview
1.1 Product Overview and Scope of Deep Learning
1.2 Deep Learning Segment by Type
1.2.1 Global Deep Learning Market Size Growth Rate Analysis by Type 2022 VS 2028
1.2.2 Type 1
1.2.3 Type 2
1.3 Deep Learning Segment by Application
1.3.1 Global Deep Learning Consumption Comparison by Application: 2022 VS 2028
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Global Market Growth Prospects
1.4.1 Global Deep Learning Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Deep Learning Production Capacity Estimates and Forecasts (2017-2028)
1.4.3 Global Deep Learning Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Deep Learning Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Deep Learning Estimates and Forecasts (2017-2028)
1.5.3 Europe Deep Learning Estimates and Forecasts (2017-2028)
1.5.4 China Deep Learning Estimates and Forecasts (2017-2028)
1.5.5 Japan Deep Learning Estimates and Forecasts (2017-2028)
2 Market Competition by Manufacturers
2.1 Global Deep Learning Production Capacity Market Share by Manufacturers (2017-2022)
2.2 Global Deep Learning Revenue Market Share by Manufacturers (2017-2022)
2.3 Deep Learning Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Deep Learning Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Deep Learning Production Sites, Area Served, Product Types
2.6 Deep Learning Market Competitive Situation and Trends
2.6.1 Deep Learning Market Concentration Rate
2.6.2 Global 5 and 10 Largest Deep Learning Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production Capacity by Region
3.1 Global Production Capacity of Deep Learning Market Share by Region (2017-2022)
3.2 Global Deep Learning Revenue Market Share by Region (2017-2022)
3.3 Global Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Deep Learning Production
3.4.1 North America Deep Learning Production Growth Rate (2017-2022)
3.4.2 North America Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Deep Learning Production
3.5.1 Europe Deep Learning Production Growth Rate (2017-2022)
3.5.2 Europe Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.6 China Deep Learning Production
3.6.1 China Deep Learning Production Growth Rate (2017-2022)
3.6.2 China Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Deep Learning Production
3.7.1 Japan Deep Learning Production Growth Rate (2017-2022)
3.7.2 Japan Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
4 Global Deep Learning Consumption by Region
4.1 Global Deep Learning Consumption by Region
4.1.1 Global Deep Learning Consumption by Region
4.1.2 Global Deep Learning Consumption Market Share by Region
4.2 North America
4.2.1 North America Deep Learning Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Deep Learning Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Deep Learning Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Deep Learning Consumption by Country
4.5.2 Mexico
4.5.3 Brazil
5 Segment by Type
5.1 Global Deep Learning Production Market Share by Type (2017-2022)
5.2 Global Deep Learning Revenue Market Share by Type (2017-2022)
5.3 Global Deep Learning Price by Type (2017-2022)
6 Segment by Application
6.1 Global Deep Learning Production Market Share by Application (2017-2022)
6.2 Global Deep Learning Revenue Market Share by Application (2017-2022)
6.3 Global Deep Learning Price by Application (2017-2022)
7 Key Companies Profiled
7.1 Company 1
7.1.1 Company 1 Deep Learning Corporation Information
7.1.2 Company 1 Deep Learning Product Portfolio
7.1.3 Company 1 Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company 1 Main Business and Markets Served
7.1.5 Company 1 Recent Developments/Updates
7.2 Company 2
7.3 Company 3
7.4 Company 4
7.5 Company 5
7.6 Others
8 Deep Learning Manufacturing Cost Analysis
8.1 Deep Learning Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Deep Learning
8.4 Deep Learning Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Deep Learning Distributors List
9.3 Deep Learning Customers
10 Market Dynamics
10.1 Deep Learning Industry Trends
10.2 Deep Learning Market Drivers
10.3 Deep Learning Market Challenges
10.4 Deep Learning Market Restraints
11 Production and Supply Forecast
11.1 Global Forecasted Production of Deep Learning by Region (2023-2028)
11.2 North America Deep Learning Production, Revenue Forecast (2023-2028)
11.3 Europe Deep Learning Production, Revenue Forecast (2023-2028)
11.4 China Deep Learning Production, Revenue Forecast (2023-2028)
11.5 Japan Deep Learning Production, Revenue Forecast (2023-2028)
12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Deep Learning
12.2 North America Forecasted Consumption of Deep Learning by Country
12.3 Europe Market Forecasted Consumption of Deep Learning by Country
12.4 Asia Pacific Market Forecasted Consumption of Deep Learning by Region
12.5 Latin America Forecasted Consumption of Deep Learning by Country
13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Deep Learning by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Deep Learning by Type (2023-2028)
13.1.3 Global Forecasted Price of Deep Learning by Type (2023-2028)
13.2 Global Forecasted Consumption of Deep Learning by Application (2023-2028)
13.2.1 Global Forecasted Production of Deep Learning by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Deep Learning by Application (2023-2028)
13.2.3 Global Forecasted Price of Deep Learning by Application (2023-2028)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
1.1 Product Overview and Scope of Deep Learning
1.2 Deep Learning Segment by Type
1.2.1 Global Deep Learning Market Size Growth Rate Analysis by Type 2022 VS 2028
1.2.2 Type 1
1.2.3 Type 2
1.3 Deep Learning Segment by Application
1.3.1 Global Deep Learning Consumption Comparison by Application: 2022 VS 2028
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Global Market Growth Prospects
1.4.1 Global Deep Learning Revenue Estimates and Forecasts (2017-2028)
1.4.2 Global Deep Learning Production Capacity Estimates and Forecasts (2017-2028)
1.4.3 Global Deep Learning Production Estimates and Forecasts (2017-2028)
1.5 Global Market Size by Region
1.5.1 Global Deep Learning Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028
1.5.2 North America Deep Learning Estimates and Forecasts (2017-2028)
1.5.3 Europe Deep Learning Estimates and Forecasts (2017-2028)
1.5.4 China Deep Learning Estimates and Forecasts (2017-2028)
1.5.5 Japan Deep Learning Estimates and Forecasts (2017-2028)
2 Market Competition by Manufacturers
2.1 Global Deep Learning Production Capacity Market Share by Manufacturers (2017-2022)
2.2 Global Deep Learning Revenue Market Share by Manufacturers (2017-2022)
2.3 Deep Learning Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Deep Learning Average Price by Manufacturers (2017-2022)
2.5 Manufacturers Deep Learning Production Sites, Area Served, Product Types
2.6 Deep Learning Market Competitive Situation and Trends
2.6.1 Deep Learning Market Concentration Rate
2.6.2 Global 5 and 10 Largest Deep Learning Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production Capacity by Region
3.1 Global Production Capacity of Deep Learning Market Share by Region (2017-2022)
3.2 Global Deep Learning Revenue Market Share by Region (2017-2022)
3.3 Global Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.4 North America Deep Learning Production
3.4.1 North America Deep Learning Production Growth Rate (2017-2022)
3.4.2 North America Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.5 Europe Deep Learning Production
3.5.1 Europe Deep Learning Production Growth Rate (2017-2022)
3.5.2 Europe Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.6 China Deep Learning Production
3.6.1 China Deep Learning Production Growth Rate (2017-2022)
3.6.2 China Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
3.7 Japan Deep Learning Production
3.7.1 Japan Deep Learning Production Growth Rate (2017-2022)
3.7.2 Japan Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
4 Global Deep Learning Consumption by Region
4.1 Global Deep Learning Consumption by Region
4.1.1 Global Deep Learning Consumption by Region
4.1.2 Global Deep Learning Consumption Market Share by Region
4.2 North America
4.2.1 North America Deep Learning Consumption by Country
4.2.2 United States
4.2.3 Canada
4.3 Europe
4.3.1 Europe Deep Learning Consumption by Country
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Deep Learning Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 China Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Deep Learning Consumption by Country
4.5.2 Mexico
4.5.3 Brazil
5 Segment by Type
5.1 Global Deep Learning Production Market Share by Type (2017-2022)
5.2 Global Deep Learning Revenue Market Share by Type (2017-2022)
5.3 Global Deep Learning Price by Type (2017-2022)
6 Segment by Application
6.1 Global Deep Learning Production Market Share by Application (2017-2022)
6.2 Global Deep Learning Revenue Market Share by Application (2017-2022)
6.3 Global Deep Learning Price by Application (2017-2022)
7 Key Companies Profiled
7.1 Company 1
7.1.1 Company 1 Deep Learning Corporation Information
7.1.2 Company 1 Deep Learning Product Portfolio
7.1.3 Company 1 Deep Learning Production Capacity, Revenue, Price and Gross Margin (2017-2022)
7.1.4 Company 1 Main Business and Markets Served
7.1.5 Company 1 Recent Developments/Updates
7.2 Company 2
7.3 Company 3
7.4 Company 4
7.5 Company 5
7.6 Others
8 Deep Learning Manufacturing Cost Analysis
8.1 Deep Learning Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Deep Learning
8.4 Deep Learning Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Deep Learning Distributors List
9.3 Deep Learning Customers
10 Market Dynamics
10.1 Deep Learning Industry Trends
10.2 Deep Learning Market Drivers
10.3 Deep Learning Market Challenges
10.4 Deep Learning Market Restraints
11 Production and Supply Forecast
11.1 Global Forecasted Production of Deep Learning by Region (2023-2028)
11.2 North America Deep Learning Production, Revenue Forecast (2023-2028)
11.3 Europe Deep Learning Production, Revenue Forecast (2023-2028)
11.4 China Deep Learning Production, Revenue Forecast (2023-2028)
11.5 Japan Deep Learning Production, Revenue Forecast (2023-2028)
12 Consumption and Demand Forecast
12.1 Global Forecasted Demand Analysis of Deep Learning
12.2 North America Forecasted Consumption of Deep Learning by Country
12.3 Europe Market Forecasted Consumption of Deep Learning by Country
12.4 Asia Pacific Market Forecasted Consumption of Deep Learning by Region
12.5 Latin America Forecasted Consumption of Deep Learning by Country
13 Forecast by Type and by Application (2023-2028)
13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)
13.1.1 Global Forecasted Production of Deep Learning by Type (2023-2028)
13.1.2 Global Forecasted Revenue of Deep Learning by Type (2023-2028)
13.1.3 Global Forecasted Price of Deep Learning by Type (2023-2028)
13.2 Global Forecasted Consumption of Deep Learning by Application (2023-2028)
13.2.1 Global Forecasted Production of Deep Learning by Application (2023-2028)
13.2.2 Global Forecasted Revenue of Deep Learning by Application (2023-2028)
13.2.3 Global Forecasted Price of Deep Learning by Application (2023-2028)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
no record found