Global Deep Learning Market Size, Status and Forecast 2019-2025

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The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market. Also, the market for services is expected to grow at the highest CAGR from 2018 to 2023. The increasing adoption of deep learning software solutions in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social network, and software that serves up ads on many websites, is driving the growth of machine learning technology in the deep learning market. Most companies that manufacture and develop deep learning systems and related software provide both online and offline support, depending on the application. Several companies provide installation, training, and support pertaining to these systems, along with online assistance and post-maintenance of software and required services. In 2018, the global Deep Learning market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 31.2% during 2019-2025. This report focuses on the global Deep Learning status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning development in United States, Europe and China. The key players covered in this study Amazon Web Services (AWS) Google IBM Intel Micron Technology Microsoft Nvidia Qualcomm Samsung Electronics Sensory Inc. Skymind Xilinx AMD General Vision Graphcore Mellanox Technologies Huawei Technologies Fujitsu Baidu Mythic Adapteva, Inc. Koniku Market segment by Type, the product can be split into Hardware Software Services Market segment by Application, split into Healthcare Manufacturing Automotive Agriculture Retail Security Human Resources Marketing Market segment by Regions/Countries, this report covers United States Europe China Japan Southeast Asia India Central & South America The study objectives of this report are: To analyze global Deep Learning status, future forecast, growth opportunity, key market and key players. To present the Deep Learning development in United States, Europe and China. To strategically profile the key players and comprehensively analyze their development plan and strategies. To define, describe and forecast the market by product type, market and key regions. In this study, the years considered to estimate the market size of Deep Learning are as follows: History Year: 2014-2018 Base Year: 2018 Estimated Year: 2019 Forecast Year 2019 to 2025 For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

 

Table of Contents 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered 1.4 Market Analysis by Type 1.4.1 Global Deep Learning Market Size Growth Rate by Type (2014-2025) 1.4.2 Hardware 1.4.3 Software 1.4.4 Services 1.5 Market by Application 1.5.1 Global Deep Learning Market Share by Application (2014-2025) 1.5.2 Healthcare 1.5.3 Manufacturing 1.5.4 Automotive 1.5.5 Agriculture 1.5.6 Retail 1.5.7 Security 1.5.8 Human Resources 1.5.9 Marketing 1.6 Study Objectives 1.7 Years Considered 2 Global Growth Trends 2.1 Deep Learning Market Size 2.2 Deep Learning Growth Trends by Regions 2.2.1 Deep Learning Market Size by Regions (2014-2025) 2.2.2 Deep Learning Market Share by Regions (2014-2019) 2.3 Industry Trends 2.3.1 Market Top Trends 2.3.2 Market Drivers 2.3.3 Market Opportunities 3 Market Share by Key Players 3.1 Deep Learning Market Size by Manufacturers 3.1.1 Global Deep Learning Revenue by Manufacturers (2014-2018) 3.1.2 Global Deep Learning Revenue Market Share by Manufacturers (2014-2018) 3.1.3 Global Deep Learning Market Concentration Ratio (CR5 and HHI) 3.2 Deep Learning Key Players Head office and Area Served 3.3 Key Players Deep Learning Product/Solution/Service 3.4 Date of Enter into Deep Learning Market 3.5 Mergers & Acquisitions, Expansion Plans 4 Breakdown Data by Type and Application 4.1 Global Deep Learning Market Size by Type (2014-2019) 4.2 Global Deep Learning Market Size by Application (2014-2019) 5 United States 5.1 United States Deep Learning Market Size (2014-2019) 5.2 Deep Learning Key Players in United States 5.3 United States Deep Learning Market Size by Type 5.4 United States Deep Learning Market Size by Application 6 Europe 6.1 Europe Deep Learning Market Size (2014-2019) 6.2 Deep Learning Key Players in Europe 6.3 Europe Deep Learning Market Size by Type 6.4 Europe Deep Learning Market Size by Application 7 China 7.1 China Deep Learning Market Size (2014-2019) 7.2 Deep Learning Key Players in China 7.3 China Deep Learning Market Size by Type 7.4 China Deep Learning Market Size by Application 8 Japan 8.1 Japan Deep Learning Market Size (2014-2019) 8.2 Deep Learning Key Players in Japan 8.3 Japan Deep Learning Market Size by Type 8.4 Japan Deep Learning Market Size by Application 9 Southeast Asia 9.1 Southeast Asia Deep Learning Market Size (2014-2019) 9.2 Deep Learning Key Players in Southeast Asia 9.3 Southeast Asia Deep Learning Market Size by Type 9.4 Southeast Asia Deep Learning Market Size by Application 10 India 10.1 India Deep Learning Market Size (2014-2019) 10.2 Deep Learning Key Players in India 10.3 India Deep Learning Market Size by Type 10.4 India Deep Learning Market Size by Application 11 Central & South America 11.1 Central & South America Deep Learning Market Size (2014-2019) 11.2 Deep Learning Key Players in Central & South America 11.3 Central & South America Deep Learning Market Size by Type 11.4 Central & South America Deep Learning Market Size by Application 12 International Players Profiles 12.1 Amazon Web Services (AWS) 12.1.1 Amazon Web Services (AWS) Company Details 12.1.2 Company Description and Business Overview 12.1.3 Deep Learning Introduction 12.1.4 Amazon Web Services (AWS) Revenue in Deep Learning Business (2014-2019) 12.1.5 Amazon Web Services (AWS) Recent Development 12.2 Google 12.2.1 Google Company Details 12.2.2 Company Description and Business Overview 12.2.3 Deep Learning Introduction 12.2.4 Google Revenue in Deep Learning Business (2014-2019) 12.2.5 Google Recent Development 12.3 IBM 12.3.1 IBM Company Details 12.3.2 Company Description and Business Overview 12.3.3 Deep Learning Introduction 12.3.4 IBM Revenue in Deep Learning Business (2014-2019) 12.3.5 IBM Recent Development 12.4 Intel 12.4.1 Intel Company Details 12.4.2 Company Description and Business Overview 12.4.3 Deep Learning Introduction 12.4.4 Intel Revenue in Deep Learning Business (2014-2019) 12.4.5 Intel Recent Development 12.5 Micron Technology 12.5.1 Micron Technology Company Details 12.5.2 Company Description and Business Overview 12.5.3 Deep Learning Introduction 12.5.4 Micron Technology Revenue in Deep Learning Business (2014-2019) 12.5.5 Micron Technology Recent Development 12.6 Microsoft 12.6.1 Microsoft Company Details 12.6.2 Company Description and Business Overview 12.6.3 Deep Learning Introduction 12.6.4 Microsoft Revenue in Deep Learning Business (2014-2019) 12.6.5 Microsoft Recent Development 12.7 Nvidia 12.7.1 Nvidia Company Details 12.7.2 Company Description and Business Overview 12.7.3 Deep Learning Introduction 12.7.4 Nvidia Revenue in Deep Learning Business (2014-2019) 12.7.5 Nvidia Recent Development 12.8 Qualcomm 12.8.1 Qualcomm Company Details 12.8.2 Company Description and Business Overview 12.8.3 Deep Learning Introduction 12.8.4 Qualcomm Revenue in Deep Learning Business (2014-2019) 12.8.5 Qualcomm Recent Development 12.9 Samsung Electronics 12.9.1 Samsung Electronics Company Details 12.9.2 Company Description and Business Overview 12.9.3 Deep Learning Introduction 12.9.4 Samsung Electronics Revenue in Deep Learning Business (2014-2019) 12.9.5 Samsung Electronics Recent Development 12.10 Sensory Inc. 12.10.1 Sensory Inc. Company Details 12.10.2 Company Description and Business Overview 12.10.3 Deep Learning Introduction 12.10.4 Sensory Inc. Revenue in Deep Learning Business (2014-2019) 12.10.5 Sensory Inc. Recent Development 12.11 Skymind 12.12 Xilinx 12.13 AMD 12.14 General Vision 12.15 Graphcore 12.16 Mellanox Technologies 12.17 Huawei Technologies 12.18 Fujitsu 12.19 Baidu 12.20 Mythic 12.21 Adapteva, Inc. 12.22 Koniku 13 Market Forecast 2019-2025 13.1 Market Size Forecast by Regions 13.2 United States 13.3 Europe 13.4 China 13.5 Japan 13.6 Southeast Asia 13.7 India 13.8 Central & South America 13.9 Market Size Forecast by Product (2019-2025) 13.10 Market Size Forecast by Application (2019-2025) 14 Analyst's Viewpoints/Conclusions 15 Appendix 15.1 Research Methodology 15.1.1 Methodology/Research Approach 15.1.1.1 Research Programs/Design 15.1.1.2 Market Size Estimation 12.1.1.3 Market Breakdown and Data Triangulation 15.1.2 Data Source 15.1.2.1 Secondary Sources 15.1.2.2 Primary Sources 15.2 Disclaimer 15.3 Author Details

List of Tables and Figures Table Deep Learning Key Market Segments Table Key Players Deep Learning Covered Table Global Deep Learning Market Size Growth Rate by Type 2014-2025 (Million US$) Figure Global Deep Learning Market Size Market Share by Type 2014-2025 Figure Hardware Figures Table Key Players of Hardware Figure Software Figures Table Key Players of Software Figure Services Figures Table Key Players of Services Table Global Deep Learning Market Size Growth by Application 2014-2025 (Million US$) Figure Healthcare Case Studies Figure Manufacturing Case Studies Figure Automotive Case Studies Figure Agriculture Case Studies Figure Retail Case Studies Figure Security Case Studies Figure Human Resources Case Studies Figure Marketing Case Studies Figure Deep Learning Report Years Considered Table Global Deep Learning Market Size 2014-2025 (Million US$) Figure Global Deep Learning Market Size and Growth Rate 2014-2025 (Million US$) Table Global Deep Learning Market Size by Regions 2014-2025 (Million US$) Table Global Deep Learning Market Size by Regions 2014-2019 (Million US$) Table Global Deep Learning Market Share by Regions 2014-2019 Figure Global Deep Learning Market Share by Regions 2014-2019 Figure Global Deep Learning Market Share by Regions 2019 Table Market Top Trends Table Global Deep Learning Revenue by Manufacturers (2014-2019) (Million US$) Table Global Deep Learning Market Share by Manufacturers (2014-2019) Figure Global Deep Learning Market Share by Manufacturers in 2018 Table Global Deep Learning Manufacturers Market Concentration Ratio (CR5 and HHI) Table Key Players Head office and Area Served Table Key Players Deep Learning Product/Solution/Service Table Date of Enter into Deep Learning Market Table Mergers & Acquisitions, Expansion Plans Table Global Deep Learning Market Size by Type (2014-2019) (Million US$) Table Global Deep Learning Market Size Share by Type (2014-2019) Figure Global Deep Learning Market Size Market Share by Type (2014-2019) Table Global Deep Learning Market Size by Application (2014-2019) (Million US$) Table Global Deep Learning Market Size Share by Application (2014-2019) Figure Global Deep Learning Market Size Market Share by Application (2014-2019) Figure Global Deep Learning Revenue Market Share by Application in 2018 Figure United States Deep Learning Market Size 2014-2019 (Million US$) Table United States Key Players Deep Learning Revenue (2018-2019) (Million US$) Table United States Key Players Deep Learning Market Share (2018-2019) Table United States Deep Learning Market Size by Type (2014-2019) (Million US$) Table United States Deep Learning Market Share by Type (2014-2019) Table United States Deep Learning Market Size by Application (2014-2019) (Million US$) Table United States Deep Learning Market Share by Application (2014-2019) Figure Europe Deep Learning Market Size 2014-2019 (Million US$) Table Europe Key Players Deep Learning Revenue (2018-2019) (Million US$) Table Europe Key Players Deep Learning Market Share (2018-2019) Table Europe Deep Learning Market Size by Type (2014-2019) (Million US$) Table Europe Deep Learning Market Share by Type (2014-2019) Table Europe Deep Learning Market Size by Application (2014-2019) (Million US$) Table Europe Deep Learning Market Share by Application (2014-2019) Figure China Deep Learning Market Size 2014-2019 (Million US$) Table China Key Players Deep Learning Revenue (2018-2019) (Million US$) Table China Key Players Deep Learning Market Share (2018-2019) Table China Deep Learning Market Size by Type (2014-20189) (Million US$) Table China Deep Learning Market Share by Type (2014-2019) Table China Deep Learning Market Size by Application (2014-2019) (Million US$) Table China Deep Learning Market Share by Application (2014-2019) Figure Japan Deep Learning Market Size 2014-2019 (Million US$) Table Japan Key Players Deep Learning Revenue (2018-2019) (Million US$) Table Japan Key Players Deep Learning Market Share (2018-2019) Table Japan Deep Learning Market Size by Type (2014-2019) (Million US$) Table Japan Deep Learning Market Share by Type (2014-2019) Table Japan Deep Learning Market Size by Application (2014-2019) (Million US$) Table Japan Deep Learning Market Share by Application (2014-2019) Figure Southeast Asia Deep Learning Market Size 2014-2019 (Million US$) Table Southeast Asia Key Players Deep Learning Revenue (2018-2019) (Million US$) Table Southeast Asia Key Players Deep Learning Market Share (2018-2019) Table Southeast Asia Deep Learning Market Size by Type (2014-2019) (Million US$) Table Southeast Asia Deep Learning Market Share by Type (2014-2019) Table Southeast Asia Deep Learning Market Size by Application (2014-2019) (Million US$) Table Southeast Asia Deep Learning Market Share by Application (2014-2019) Figure India Deep Learning Market Size 2014-2019 (Million US$) Table India Key Players Deep Learning Revenue (2018-2019) (Million US$) Table India Key Players Deep Learning Market Share (2018-2019) Table India Deep Learning Market Size by Type (2014-2019) (Million US$) Table India Deep Learning Market Share by Type (2014-2019) Table India Deep Learning Market Size by Application (2014-2019) (Million US$) Table India Deep Learning Market Share by Application (2014-2019) Figure Central & South America Deep Learning Market Size 2014-2019 (Million US$) Table Central & South America Key Players Deep Learning Revenue (2018-2019) (Million US$) Table Central & South America Key Players Deep Learning Market Share (2018-2019) Table Central & South America Deep Learning Market Size by Type (2014-2019) (Million US$) Table Central & South America Deep Learning Market Share by Type (2014-2019) Table Central & South America Deep Learning Market Size by Application (2014-2019) (Million US$) Table Central & South America Deep Learning Market Share by Application (2014-2019) Table Amazon Web Services (AWS) Company Details Table Amazon Web Services (AWS) Revenue in Deep Learning Business (2014-2019) (Million US$) Figure Amazon Web Services (AWS) Revenue Growth Rate in Deep Learning Business (2014-2019) Table Amazon Web Services (AWS) Recent Development Table Google Company Details Table Google Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Google Revenue Growth Rate in Deep Learning Business (2014-2019) Table Google Recent Development Table IBM Company Details Table IBM Revenue in Deep Learning Business (2014-2019)(Million US$) Figure IBM Revenue Growth Rate in Deep Learning Business (2014-2019) Table IBM Recent Development Table Intel Company Details Table Intel Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Intel Revenue Growth Rate in Deep Learning Business (2014-2019) Table Intel Recent Development Table Micron Technology Company Details Table Micron Technology Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Micron Technology Revenue Growth Rate in Deep Learning Business (2014-2019) Table Micron Technology Recent Development Table Microsoft Company Details Table Microsoft Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Microsoft Revenue Growth Rate in Deep Learning Business (2014-2019) Table Microsoft Recent Development Table Nvidia Company Details Table Nvidia Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Nvidia Revenue Growth Rate in Deep Learning Business (2014-2019) Table Nvidia Recent Development Table Qualcomm Company Details Table Qualcomm Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Qualcomm Revenue Growth Rate in Deep Learning Business (2014-2019) Table Qualcomm Recent Development Table Samsung Electronics Company Details Table Samsung Electronics Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Samsung Electronics Revenue Growth Rate in Deep Learning Business (2014-2019) Table Samsung Electronics Recent Development Table Sensory Inc. Company Details Table Sensory Inc. Revenue in Deep Learning Business (2014-2019)(Million US$) Figure Sensory Inc. Revenue Growth Rate in Deep Learning Business (2014-2019) Table Sensory Inc. Recent Development Table Skymind Company Details Table Xilinx Company Details Table AMD Company Details Table General Vision Company Details Table Graphcore Company Details Table Mellanox Technologies Company Details Table Huawei Technologies Company Details Table Fujitsu Company Details Table Baidu Company Details Table Mythic Company Details Table Adapteva, Inc. Company Details Table Koniku Company Details Table Global Deep Learning Market Size by Regions (Million US$) 2019-2025 Figure Global Deep Learning Market Size Share by Regions (2019-2025) Figure Global Deep Learning Market Size Share by Regions in 2025 Figure United States Deep Learning Market Size Forecast (2019-2025)(Million USD) Figure Europe Deep Learning Market Size Forecast (2019-2025)(Million USD) Figure China Deep Learning Market Size Forecast (2019-2025)(Million USD) Figure Japan Deep Learning Market Size Forecast (2019-2025)(Million USD) Figure Southeast Asia Deep Learning Market Size Forecast (2019-2025)(Million USD) Figure India Deep Learning Market Size Forecast (2019-2025)(Million USD) Figure Central & South America Deep Learning Market Size Forecast (2019-2025)(Million USD) Table Global Deep Learning Market Size by Product (2019-2025) (Million US$) Figure Global Deep Learning Market Size by Product (2019-2025) Figure Global Deep Learning Market Size by Product in 2025 Table Global Deep Learning Market Size by Application (2019-2025) (Million US$) Figure Global Deep Learning Market Size by Application (2019-2025) Figure Global Deep Learning Market Size by Application in 2025 Table Research Programs/Design for This Report Figure Bottom-up and Top-down Approaches for This Report Figure Data Triangulation Table Key Data Information from Secondary Sources Table Key Data Information from Primary Sources

This research study involved the extensive usage of both primary and secondary data sources.  The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for manufacturers, regions segments, product segments and applications (end users). All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from QYResearch and presented in this report.
 

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
 

Secondary Sources occupies Approximately 25% of Sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on; This research study involved the usage of widespread secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; BIS Statistics; ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the Light Aircraft market. It was also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
 

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers etc.
 

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
 

Primary research was conducted to identify segmentation types, product price range, product applications, key players, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
 

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