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Global Artificial Intelligence-Emotion Recognition Market Growth (Status and Outlook) 2019-2024

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Table of Contents

    2019-2024 Global Artificial Intelligence-Emotion Recognition Market Report (Status and Outlook)

      1 Scope of the Report

      • 1.1 Market Introduction
      • 1.2 Research Objectives
      • 1.3 Years Considered
      • 1.4 Market Research Methodology
      • 1.5 Economic Indicators
      • 1.6 Currency Considered

      2 Executive Summary

      • 2.1 World Market Overview
        • 2.1.1 Global Artificial Intelligence-Emotion Recognition Market Size 2014-2024
        • 2.1.2 Artificial Intelligence-Emotion Recognition Market Size CAGR by Region
      • 2.2 Artificial Intelligence-Emotion Recognition Segment by Type
        • 2.2.1 Facial Emotion Recognition
        • 2.2.2 Speech Emotion Recognition
        • 2.2.3 Others
      • 2.3 Artificial Intelligence-Emotion Recognition Market Size by Type
        • 2.3.1 Global Artificial Intelligence-Emotion Recognition Market Size Market Share by Type (2014-2019)
        • 2.3.2 Global Artificial Intelligence-Emotion Recognition Market Size Growth Rate by Type (2014-2019)
      • 2.4 Artificial Intelligence-Emotion Recognition Segment by Application
        • 2.4.1 Education
        • 2.4.2 Medical Care
        • 2.4.3 Wisdom Center
        • 2.4.4 Others
      • 2.5 Artificial Intelligence-Emotion Recognition Market Size by Application
        • 2.5.1 Global Artificial Intelligence-Emotion Recognition Market Size Market Share by Application (2014-2019)
        • 2.5.2 Global Artificial Intelligence-Emotion Recognition Market Size Growth Rate by Application (2014-2019)

      3 Global Artificial Intelligence-Emotion Recognition by Players

      • 3.1 Global Artificial Intelligence-Emotion Recognition Market Size Market Share by Players
        • 3.1.1 Global Artificial Intelligence-Emotion Recognition Market Size by Players (2017-2019)
        • 3.1.2 Global Artificial Intelligence-Emotion Recognition Market Size Market Share by Players (2017-2019)
      • 3.2 Global Artificial Intelligence-Emotion Recognition Key Players Head office and Products Offered
      • 3.3 Market Concentration Rate Analysis
        • 3.3.1 Competition Landscape Analysis
        • 3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
      • 3.4 New Products and Potential Entrants
      • 3.5 Mergers & Acquisitions, Expansion

      4 Artificial Intelligence-Emotion Recognition by Regions

      • 4.1 Artificial Intelligence-Emotion Recognition Market Size by Regions
      • 4.2 Americas Artificial Intelligence-Emotion Recognition Market Size Growth
      • 4.3 APAC Artificial Intelligence-Emotion Recognition Market Size Growth
      • 4.4 Europe Artificial Intelligence-Emotion Recognition Market Size Growth
      • 4.5 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Size Growth

      5 Americas

      • 5.1 Americas Artificial Intelligence-Emotion Recognition Market Size by Countries
      • 5.2 Americas Artificial Intelligence-Emotion Recognition Market Size by Type
      • 5.3 Americas Artificial Intelligence-Emotion Recognition Market Size by Application
      • 5.4 United States
      • 5.5 Canada
      • 5.6 Mexico
      • 5.7 Key Economic Indicators of Few Americas Countries

      6 APAC

      • 6.1 APAC Artificial Intelligence-Emotion Recognition Market Size by Countries
      • 6.2 APAC Artificial Intelligence-Emotion Recognition Market Size by Type
      • 6.3 APAC Artificial Intelligence-Emotion Recognition Market Size by Application
      • 6.4 China
      • 6.5 Japan
      • 6.6 Korea
      • 6.7 Southeast Asia
      • 6.8 India
      • 6.9 Australia
      • 6.10 Key Economic Indicators of Few APAC Countries

      7 Europe

      • 7.1 Europe Artificial Intelligence-Emotion Recognition by Countries
      • 7.2 Europe Artificial Intelligence-Emotion Recognition Market Size by Type
      • 7.3 Europe Artificial Intelligence-Emotion Recognition Market Size by Application
      • 7.4 Germany
      • 7.5 France
      • 7.6 UK
      • 7.7 Italy
      • 7.8 Russia
      • 7.9 Spain
      • 7.10 Key Economic Indicators of Few Europe Countries

      8 Middle East & Africa

      • 8.1 Middle East & Africa Artificial Intelligence-Emotion Recognition by Countries
      • 8.2 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Size by Type
      • 8.3 Middle East & Africa Artificial Intelligence-Emotion Recognition Market Size by Application
      • 8.4 Egypt
      • 8.5 South Africa
      • 8.6 Israel
      • 8.7 Turkey
      • 8.8 GCC Countries

      9 Market Drivers, Challenges and Trends

      • 9.1 Market Drivers and Impact
        • 9.1.1 Growing Demand from Key Regions
        • 9.1.2 Growing Demand from Key Applications and Potential Industries
      • 9.2 Market Challenges and Impact
      • 9.3 Market Trends

      10 Global Artificial Intelligence-Emotion Recognition Market Forecast

      • 10.1 Global Artificial Intelligence-Emotion Recognition Market Size Forecast (2019-2024)
      • 10.2 Global Artificial Intelligence-Emotion Recognition Forecast by Regions
        • 10.2.1 Global Artificial Intelligence-Emotion Recognition Forecast by Regions (2019-2024)
        • 10.2.2 Americas Market Forecast
        • 10.2.3 APAC Market Forecast
        • 10.2.4 Europe Market Forecast
        • 10.2.5 Middle East & Africa Market Forecast
      • 10.3 Americas Forecast by Countries
        • 10.3.1 United States Market Forecast
        • 10.3.2 Canada Market Forecast
        • 10.3.3 Mexico Market Forecast
        • 10.3.4 Brazil Market Forecast
      • 10.4 APAC Forecast by Countries
        • 10.4.1 China Market Forecast
        • 10.4.2 Japan Market Forecast
        • 10.4.3 Korea Market Forecast
        • 10.4.4 Southeast Asia Market Forecast
        • 10.4.5 India Market Forecast
        • 10.4.6 Australia Market Forecast
      • 10.5 Europe Forecast by Countries
        • 10.5.1 Germany Market Forecast
        • 10.5.2 France Market Forecast
        • 10.5.3 UK Market Forecast
        • 10.5.4 Italy Market Forecast
        • 10.5.5 Russia Market Forecast
        • 10.5.6 Spain Market Forecast
      • 10.6 Middle East & Africa Forecast by Countries
        • 10.6.1 Egypt Market Forecast
        • 10.6.2 South Africa Market Forecast
        • 10.6.3 Israel Market Forecast
        • 10.6.4 Turkey Market Forecast
        • 10.6.5 GCC Countries Market Forecast
      • 10.7 Global Artificial Intelligence-Emotion Recognition Forecast by Type
      • 10.8 Global Artificial Intelligence-Emotion Recognition Forecast by Application

      11 Key Players Analysis

      • 11.1 Microsoft
        • 11.1.1 Company Details
        • 11.1.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.1.3 Microsoft Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.1.4 Main Business Overview
        • 11.1.5 Microsoft News
      • 11.2 Softbank
        • 11.2.1 Company Details
        • 11.2.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.2.3 Softbank Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.2.4 Main Business Overview
        • 11.2.5 Softbank News
      • 11.3 Realeyes
        • 11.3.1 Company Details
        • 11.3.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.3.3 Realeyes Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.3.4 Main Business Overview
        • 11.3.5 Realeyes News
      • 11.4 INTRAface
        • 11.4.1 Company Details
        • 11.4.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.4.3 INTRAface Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.4.4 Main Business Overview
        • 11.4.5 INTRAface News
      • 11.5 Apple
        • 11.5.1 Company Details
        • 11.5.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.5.3 Apple Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.5.4 Main Business Overview
        • 11.5.5 Apple News
      • 11.6 IBM
        • 11.6.1 Company Details
        • 11.6.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.6.3 IBM Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.6.4 Main Business Overview
        • 11.6.5 IBM News
      • 11.7 Eyeris
        • 11.7.1 Company Details
        • 11.7.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.7.3 Eyeris Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.7.4 Main Business Overview
        • 11.7.5 Eyeris News
      • 11.8 Beyond Verbal
        • 11.8.1 Company Details
        • 11.8.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.8.3 Beyond Verbal Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.8.4 Main Business Overview
        • 11.8.5 Beyond Verbal News
      • 11.9 Affectiva
        • 11.9.1 Company Details
        • 11.9.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.9.3 Affectiva Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.9.4 Main Business Overview
        • 11.9.5 Affectiva News
      • 11.10 Kairos AR
        • 11.10.1 Company Details
        • 11.10.2 Artificial Intelligence-Emotion Recognition Product Offered
        • 11.10.3 Kairos AR Artificial Intelligence-Emotion Recognition Revenue, Gross Margin and Market Share (2017-2019)
        • 11.10.4 Main Business Overview
        • 11.10.5 Kairos AR News
      • 11.11 Cloudwalk
      • 11.12 IFlytek
      • 11.13 Nviso
      • 11.14 CrowdEmotion

      12 Research Findings and Conclusion

      According to this study, over the next five years the Artificial Intelligence-Emotion Recognition market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Artificial Intelligence-Emotion Recognition business, shared in Chapter 3.

      This report presents a comprehensive overview, market shares and growth opportunities of Artificial Intelligence-Emotion Recognition market by product type, application, key companies and key regions.

      This study considers the Artificial Intelligence-Emotion Recognition value generated from the sales of the following segments:

      Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
      Facial Emotion Recognition
      Speech Emotion Recognition
      Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
      Education
      Medical Care
      Wisdom Center
      Others

      This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
      Americas
      United States
      Canada
      Mexico
      Brazil
      APAC
      China
      Japan
      Korea
      Southeast Asia
      India
      Australia
      Europe
      Germany
      France
      UK
      Italy
      Russia
      Spain
      Middle East & Africa
      Egypt
      South Africa
      Israel
      Turkey
      GCC Countries

      The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
      Microsoft
      Softbank
      Realeyes
      INTRAface
      Apple
      IBM
      Eyeris
      Beyond Verbal
      Affectiva
      Kairos AR
      Cloudwalk
      IFlytek
      Nviso
      CrowdEmotion

      In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

      Research objectives
      To study and analyze the global Artificial Intelligence-Emotion Recognition market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
      To understand the structure of Artificial Intelligence-Emotion Recognition market by identifying its various subsegments.
      Focuses on the key global Artificial Intelligence-Emotion Recognition players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
      To analyze the Artificial Intelligence-Emotion Recognition with respect to individual growth trends, future prospects, and their contribution to the total market.
      To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
      To project the size of Artificial Intelligence-Emotion Recognition submarkets, with respect to key regions (along with their respective key countries).
      To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
      To strategically profile the key players and comprehensively analyze their growth strategies.

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