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

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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 Software Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 Artificial Neural Network Software
      • 1.4.3 Image Recognition Software
      • 1.4.4 Voice Recognition Software
    • 1.5 Market by Application
      • 1.5.1 Global Deep Learning Software Market Share by Application (2019-2025)
      • 1.5.2 Large Enterprises
      • 1.5.3 SMEs
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 Deep Learning Software Market Size
    • 2.2 Deep Learning Software Growth Trends by Regions
      • 2.2.1 Deep Learning Software Market Size by Regions (2019-2025)
      • 2.2.2 Deep Learning Software 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 Challenges
      • 2.3.4 Porter’s Five Forces Analysis

    3 Market Share by Key Players

    • 3.1 Deep Learning Software Market Size by by Players
      • 3.1.1 Global Deep Learning Software Revenue by by Players (2014-2019)
      • 3.1.2 Global Deep Learning Software Revenue Market Share by by Players (2014-2019)
      • 3.1.3 Global Deep Learning Software Market Concentration Ratio (CR5 and HHI)
    • 3.2 Deep Learning Software Key Players Head office and Area Served
    • 3.3 Key Players Deep Learning Software Product/Solution/Service
    • 3.4 Date of Enter into Deep Learning Software Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global Deep Learning Software Market Size by Type (2014-2019)
    • 4.2 Global Deep Learning Software Market Size by Application (2014-2019)

    5 North America

    • 5.1 North America Deep Learning Software Market Size (2014-2019)
    • 5.2 Deep Learning Software Key Players in North America
    • 5.3 North America Deep Learning Software Market Size by Type
    • 5.4 North America Deep Learning Software Market Size by Application

    6 Europe

    • 6.1 Europe Deep Learning Software Market Size (2014-2019)
    • 6.2 Deep Learning Software Key Players in Europe
    • 6.3 Europe Deep Learning Software Market Size by Type
    • 6.4 Europe Deep Learning Software Market Size by Application

    7 China

    • 7.1 China Deep Learning Software Market Size (2014-2019)
    • 7.2 Deep Learning Software Key Players in China
    • 7.3 China Deep Learning Software Market Size by Type
    • 7.4 China Deep Learning Software Market Size by Application

    8 Japan

    • 8.1 Japan Deep Learning Software Market Size (2014-2019)
    • 8.2 Deep Learning Software Key Players in Japan
    • 8.3 Japan Deep Learning Software Market Size by Type
    • 8.4 Japan Deep Learning Software Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia Deep Learning Software Market Size (2014-2019)
    • 9.2 Deep Learning Software Key Players in Southeast Asia
    • 9.3 Southeast Asia Deep Learning Software Market Size by Type
    • 9.4 Southeast Asia Deep Learning Software Market Size by Application

    10 India

    • 10.1 India Deep Learning Software Market Size (2014-2019)
    • 10.2 Deep Learning Software Key Players in India
    • 10.3 India Deep Learning Software Market Size by Type
    • 10.4 India Deep Learning Software Market Size by Application

    11 Central & South America

    • 11.1 Central & South America Deep Learning Software Market Size (2014-2019)
    • 11.2 Deep Learning Software Key Players in Central & South America
    • 11.3 Central & South America Deep Learning Software Market Size by Type
    • 11.4 Central & South America Deep Learning Software Market Size by Application

    12 International Players Profiles

    • 12.1 Microsoft
      • 12.1.1 Microsoft Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Deep Learning Software Introduction
      • 12.1.4 Microsoft Revenue in Deep Learning Software Business (2014-2019))
      • 12.1.5 Microsoft Recent Development
    • 12.2 Express Scribe
      • 12.2.1 Express Scribe Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Deep Learning Software Introduction
      • 12.2.4 Express Scribe Revenue in Deep Learning Software Business (2014-2019)
      • 12.2.5 Express Scribe Recent Development
    • 12.3 Nuance
      • 12.3.1 Nuance Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Deep Learning Software Introduction
      • 12.3.4 Nuance Revenue in Deep Learning Software Business (2014-2019)
      • 12.3.5 Nuance Recent Development
    • 12.4 Google
      • 12.4.1 Google Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Deep Learning Software Introduction
      • 12.4.4 Google Revenue in Deep Learning Software Business (2014-2019)
      • 12.4.5 Google Recent Development
    • 12.5 IBM
      • 12.5.1 IBM Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Deep Learning Software Introduction
      • 12.5.4 IBM Revenue in Deep Learning Software Business (2014-2019)
      • 12.5.5 IBM Recent Development
    • 12.6 AWS
      • 12.6.1 AWS Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Deep Learning Software Introduction
      • 12.6.4 AWS Revenue in Deep Learning Software Business (2014-2019)
      • 12.6.5 AWS Recent Development
    • 12.7 AV Voice
      • 12.7.1 AV Voice Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Deep Learning Software Introduction
      • 12.7.4 AV Voice Revenue in Deep Learning Software Business (2014-2019)
      • 12.7.5 AV Voice Recent Development
    • 12.8 Sayint
      • 12.8.1 Sayint Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Deep Learning Software Introduction
      • 12.8.4 Sayint Revenue in Deep Learning Software Business (2014-2019)
      • 12.8.5 Sayint Recent Development
    • 12.9 OpenCV
      • 12.9.1 OpenCV Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Deep Learning Software Introduction
      • 12.9.4 OpenCV Revenue in Deep Learning Software Business (2014-2019)
      • 12.9.5 OpenCV Recent Development
    • 12.10 SimpleCV
      • 12.10.1 SimpleCV Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Deep Learning Software Introduction
      • 12.10.4 SimpleCV Revenue in Deep Learning Software Business (2014-2019)
      • 12.10.5 SimpleCV Recent Development
    • 12.11 Clarifai
    • 12.12 Keras
    • 12.13 Mocha
    • 12.14 TFLearn
    • 12.15 Torch
    • 12.16 DeepPy

    13 Market Forecast 2019-2025

    • 13.1 Market Size Forecast by Product (2019-2025)
    • 13.2 Market Size Forecast by Application (2019-2025)
    • 13.3 Market Size Forecast by Regions
    • 13.4 North America
    • 13.5 Europe
    • 13.6 China
    • 13.7 Japan
    • 13.8 Southeast Asia
    • 13.9 India
    • 13.10 Central & South America

    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
          • 15.1.1.3 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

      This report focuses on the global Deep Learning Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

      The key players covered in this study
      Microsoft
      Express Scribe
      Nuance
      Google
      IBM
      AWS
      AV Voice
      Sayint
      OpenCV
      SimpleCV
      Clarifai
      Keras
      Mocha
      TFLearn
      Torch
      DeepPy

      Market segment by Type, the product can be split into
      Artificial Neural Network Software
      Image Recognition Software
      Voice Recognition Software

      Market segment by Application, split into
      Large Enterprises
      SMEs

      Market segment by Regions/Countries, this report covers
      North America
      Europe
      China
      Japan
      Southeast Asia
      India
      Central & South America

      The study objectives of this report are:
      To analyze global Deep Learning Software status, future forecast, growth opportunity, key market and key players.
      To present the Deep Learning Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
      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 Software 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.
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