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

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Deep learning chip is an artificial intelligence (AI) device that enables a machine to learn the given tasks and perform them without being explicitly programmed. 
These chips facilitate continuous advancement of computing through exposure to new scenarios, testing, and adaptation.
In 2018, the global Deep Learning Chip market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global Deep Learning Chip status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Chip development in United States, Europe and China.

The key players covered in this study
    NVDIA
    Google
    Intel
    IBM
    General Vision
    Microsoft
    Sensory
    Qualcomm
    Hewlett Packard
    Baidu

Market analysis by product type
    Data Mining
    Image Recognition
    Signal Recognition
    Others

Market analysis by market
    Industrial
    Automotive
    Aerospace & Defense
    Medical
    IT & Telecommunication
    Others

Market analysis by Region
    United States
    Europe
    China
    Japan
    Southeast Asia
    India
    Central & South America

The study objectives of this report are:
    To analyze global Deep Learning Chip status, future forecast, growth opportunity, key market and key players.
    To present the Deep Learning Chip 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 Chip are as follows:
    History Year: 2018-2019
    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
  
        1.4.2 Data Mining
        1.4.3 Image Recognition
        1.4.4 Signal Recognition
        1.4.5 Others
    1.5 Market by Application
        1.5.1 Global Deep Learning Chip Market Share by Application (2018-2025)
        1.5.2 Industrial
        1.5.3 Automotive
        1.5.4 Aerospace & Defense
        1.5.5 Medical
        1.5.6 IT & Telecommunication
        1.5.7 Others
    1.6 Study Objectives
    1.7 Years Considered

2 Executive Summary
    2.1 Deep Learning Chip Market Size
    2.2 Deep Learning Chip Growth Trends by Regions
        2.2.1 Deep Learning Chip Market Size by Regions (2018-2025)
        2.2.2 Deep Learning Chip Market Share by Regions (2018-2025)
    2.3 Industry Trends
        2.3.1 Market Top Trends
        2.3.2 Market Use Cases

3 Key Players
    3.1 Deep Learning Chip Revenue by Manufacturers (2018-2019)
    3.2 Deep Learning Chip Key Players Head office and Area Served
    3.3 Key Players Deep Learning Chip Product/Solution/Service
    3.4 Date of Enter into Deep Learning Chip Market
    3.5 Key Players Deep Learning Chip Funding/Investment Analysis
    3.6 Global Key Players Deep Learning Chip Valuation & Market Capitalization
    3.7 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application
    4.1 Global Deep Learning Chip Market Size by Type (2018-2025)
    4.2 Global Deep Learning Chip Market Size by Application (2017-2025)

5 United States
    5.1 United States Deep Learning Chip Market Size (2018-2025)
    5.2 Deep Learning Chip Key Players in United States
    5.3 United States Deep Learning Chip Market Size by Type
    5.4 United States Deep Learning Chip Market Size by Application

6 Europe
    6.1 Europe Deep Learning Chip Market Size (2018-2025)
    6.2 Deep Learning Chip Key Players in Europe
    6.3 Europe Deep Learning Chip Market Size by Type
    6.4 Europe Deep Learning Chip Market Size by Application

7 China
    7.1 China Deep Learning Chip Market Size (2018-2025)
    7.2 Deep Learning Chip Key Players in China
    7.3 China Deep Learning Chip Market Size by Type
    7.4 China Deep Learning Chip Market Size by Application

8 Rest of World
    8.1 Japan
        8.1.1 Japan Deep Learning Chip Market Analysis
        8.1.2 Key Players in 
    8.2 Southeast Asia
        8.2.1 Southeast Asia Deep Learning Chip Market Analysis
        8.2.2 Key Players in Southeast Asia
    8.3 India
        8.3.1 India Deep Learning Chip Market Analysis
        8.3.2 Key Players in India

9 International Players Profiles
    9.1 NVDIA
        9.1.1 NVDIA Company Details
        9.1.2 Company Description and Business Overview
        9.1.3 Deep Learning Chip Introduction
        9.1.4 NVDIA Revenue in Deep Learning Chip Business (2018-2019)
        9.1.5 NVDIA Recent Development
    9.2 Google
        9.2.1 Google Company Details
        9.2.2 Company Description and Business Overview
        9.2.3 Deep Learning Chip Introduction
        9.2.4 Google Revenue in Deep Learning Chip Business (2018-2019)
        9.2.5 Google Recent Development
    9.3 Intel
        9.3.1 Intel Company Details
        9.3.2 Company Description and Business Overview
        9.3.3 Deep Learning Chip Introduction
        9.3.4 Intel Revenue in Deep Learning Chip Business (2018-2019)
        9.3.5 Intel Recent Development
    9.4 IBM
        9.4.1 IBM Company Details
        9.4.2 Company Description and Business Overview
        9.4.3 Deep Learning Chip Introduction
        9.4.4 IBM Revenue in Deep Learning Chip Business (2018-2019)
        9.4.5 IBM Recent Development
    9.5 General Vision
        9.5.1 General Vision Company Details
        9.5.2 Company Description and Business Overview
        9.5.3 Deep Learning Chip Introduction
        9.5.4 General Vision Revenue in Deep Learning Chip Business (2017-2018)
        9.5.5 General Vision Recent Development
    9.6 Microsoft
        9.6.1 Microsoft Company Details
        9.6.2 Company Description and Business Overview
        9.6.3 Deep Learning Chip Introduction
        9.6.4 Microsoft Revenue in Deep Learning Chip Business (2017-2018)
        9.6.5 Microsoft Recent Development
    9.7 Sensory
        9.7.1 Sensory Company Details
        9.7.2 Company Description and Business Overview
        9.7.3 Deep Learning Chip Introduction
        9.7.4 Sensory Revenue in Deep Learning Chip Business (2018-2019)
        9.7.5 Sensory Recent Development
    9.8 Qualcomm
        9.8.1 Qualcomm Company Details
        9.8.2 Company Description and Business Overview
        9.8.3 Deep Learning Chip Introduction
        9.8.4 Qualcomm Revenue in Deep Learning Chip Business (2018-2019)
        9.8.5 Qualcomm Recent Development
    9.9 Hewlett Packard
        9.9.1 Hewlett Packard Company Details
        9.9.2 Company Description and Business Overview
        9.9.3 Deep Learning Chip Introduction
        9.9.4 Hewlett Packard Revenue in Deep Learning Chip Business (2018-2019)
        9.9.5 Hewlett Packard Recent Development
    9.10 Baidu
        9.10.1 Baidu Company Details
        9.10.2 Company Description and Business Overview
        9.10.3 Deep Learning Chip Introduction
        9.10.4 Baidu Revenue in Deep Learning Chip Business (2018-2019)
        9.10.5 Baidu Recent Development

10 Market Dynamics
    10.1 Drivers
    10.2 Opportunities
    10.3 Challenges
    10.4 Market Ecosystem
    10.5 Market Value Chain Analysis

11 Key Findings in This Report

12 Appendix
    12.1 Research Methodology
        12.1.1 Methodology/Research Approach
            12.1.1.1 Research Programs/Design
            12.1.1.2 Market Size Estimation
            12.1.1.3 Market Breakdown and Data Triangulation
        12.1.2 Data Source
            12.1.2.1 Secondary Sources
            12.1.2.2 Primary Sources
    12.2 Disclaimer
    12.3 Author Details

List of Tables and Figures Table Deep Learning Chip Key Market Segments Table Key Players Deep Learning Chip Covered Table Global Deep Learning Chip Market Size Growth Rate by Type 2019-2025 (Million US$) Figure Global Deep Learning Chip Market Size Market Share by Type 2019-2025 Figure Data Mining Figures Table Key Players of Data Mining Figure Image Recognition Figures Table Key Players of Image Recognition Figure Signal Recognition Figures Table Key Players of Signal Recognition Figure Others Figures Table Key Players of Others Table Global Deep Learning Chip Market Size Growth by Application 2019-2025 (Million US$) Figure Industrial Case Studies Figure Automotive Case Studies Figure Aerospace & Defense Case Studies Figure Medical Case Studies Figure IT & Telecommunication Case Studies Figure Others Case Studies Figure Deep Learning Chip Report Years Considered Table Global Deep Learning Chip Market Size 2018-2025 (Million US$) Figure Global Deep Learning Chip Market Size and Growth Rate 2018-2025 (Million US$) Table Global Deep Learning Chip Market Size by Regions 2019-2025 (Million US$) Table Global Deep Learning Chip Market Size by Regions 2018-2025 (Million US$) Table Global Deep Learning Chip Market Share by Regions 2014-2019 Figure Global Deep Learning Chip Market Share by Regions 2018-2025 Figure Global Deep Learning Chip Market Share by Regions 2019-2025 Table Market Top Trends Table Global Deep Learning Chip Revenue by Manufacturers (2018-2019) (Million US$) Table Global Deep Learning Chip Market Share by Manufacturers (2018-2019) Figure Global Deep Learning Chip Market Share by Manufacturers in 2019 Table Global Key Players Deep Learning Chip Funding/Investment Analysis (Million US$) Table Global Key Players Deep Learning Chip Valuation & Market Capitalization (Million US$) Table Mergers & Acquisitions, Expansion Plans Table Global Deep Learning Chip Market Size by Type (2018-2025) (Million US$) Table Global Deep Learning Chip Market Share by Type (2018-2025) Figure Global Deep Learning Chip Market Size Share by Type (2018-2025) Table Global Deep Learning Chip Market Size by Application (2018-2025) (Million US$) Table Global Deep Learning Chip Market Size Share by Application (2018-2025) Figure Global Deep Learning Chip Market Size Market Share by Application (2018-2025) Figure Global Deep Learning Chip Revenue Market Share by Application in 2018 Figure United States Deep Learning Chip Market Size 2018-2025 (Million US$) Table United States Key Players Deep Learning Chip Revenue (2018-2019) (Million US$) Table United States Key Players Deep Learning Chip Market Share (2018-2019) Table United States Deep Learning Chip Market Size by Type (2018-2025) (Million US$) Table United States Deep Learning Chip Market Share by Type (2018-2025) Table United States Deep Learning Chip Market Size by Application (2018-2025) (Million US$) Table United States Deep Learning Chip Market Share by Application (2018-2025) Figure Europe Deep Learning Chip Market Size 2018-2025 (Million US$) Table Europe Key Players Deep Learning Chip Revenue (2018-2019) (Million US$) Table Europe Key Players Deep Learning Chip Market Share (2018-2019) Table Europe Deep Learning Chip Market Size by Type (2018-2025) (Million US$) Table Europe Deep Learning Chip Market Share by Type (2018-2025) Table Europe Deep Learning Chip Market Size by Application (2018-2025) (Million US$) Table Europe Deep Learning Chip Market Share by Application (2018-2025) Figure China Deep Learning Chip Market Size 2018-2025 (Million US$) Table China Key Players Deep Learning Chip Revenue (2018-2019) (Million US$) Table China Key Players Deep Learning Chip Market Share (2018-2019) Table China Deep Learning Chip Market Size by Type (2018-2025) (Million US$) Table China Deep Learning Chip Market Share by Type (2018-2025) Table China Deep Learning Chip Market Size by Application (2018-2025) (Million US$) Table China Deep Learning Chip Market Share by Application (2018-2025) Figure Market Size in Japan Deep Learning Chip 2018-2025 (Million US$) Figure Market Size in Southeast Asia Deep Learning Chip 2018-2025 (Million US$) Figure Market Size in India Deep Learning Chip 2018-2025 (Million US$) Table NVDIA Company Details Table NVDIA Revenue in Deep Learning Chip Business in 2018 and 2019 Table NVDIA Recent Development Table Google Company Details Table Google Revenue in Deep Learning Chip Business in 2018 and 2019 Table Google Recent Development Table Intel Company Details Table Intel Revenue in Deep Learning Chip Business in 2018 and 2019 Table Intel Recent Development Table IBM Company Details Table IBM Revenue in Deep Learning Chip Business in 2018 and 2019 Table IBM Recent Development Table General Vision Company Details Table General Vision Revenue in Deep Learning Chip Business in 2018 and 2019 Table General Vision Recent Development Table Microsoft Company Details Table Microsoft Revenue in Deep Learning Chip Business in 2018 and 2019 Table Microsoft Recent Development Table Sensory Company Details Table Sensory Revenue in Deep Learning Chip Business in 2018 and 2019 Table Sensory Recent Development Table Qualcomm Company Details Table Qualcomm Revenue in Deep Learning Chip Business in 2018 and 2019 Table Qualcomm Recent Development Table Hewlett Packard Company Details Table Hewlett Packard Revenue in Deep Learning Chip Business in 2018 and 2019 Table Hewlett Packard Recent Development Table Baidu Company Details Table Baidu Revenue in Deep Learning Chip Business in 2018 and 2019 Table Baidu Recent Development 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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