Emotion Analytics Market By Technology (Artificial Intelligence, Biometrics, 3D Modelling), By End User (Media & Entertainment, Retail, Healthcare, Financial Services, Others)- Global Industry Trends & Forecasts Upto 2025

The emotion analytics explicit person's verbal and non-verbal communications to understand the mood and attitude. In the connected world, people are inclined to express emotions, sentiments, and feelings via text/comments, emojis, likes, and dislikes.

With the increase in the adoption of advance machine learning technologies many industry verticals are using & analyzing the human behavior across different industries such as enterprises, defense and aerospace, commercial, industrial among others. Biometrics is one of the technologies that is being vastly implemented by various organizations to secure their business operations.

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The emotion analytics data is used by the companies to create strategies that will improve their business, data collection, data classification, data analytics, and data visualization. Also, to identify customer's perception towards their products & services.

The emotion analytics market is expected to grow at a CAGR of 80% during the forecast period 2017–2023. The emotion analytics market is driven by huge adoption of API & SDK applications due to the growing demand for providing effective options for customers based on emotion based applications.

The major players included in this report are Microsoft, IBM, Retinad Virtual Reality, Neuromore, Imotions, Kairos, Beyond Verbal, Affectiva, Eyris and others.

This report offers major trends, industry trends which is going to play a major role in emotion analytics market during the forecasted year. Moreover, this report can also tailored as per the requirement by the users, and also available with deeper segmentation by regions, countries, and vendor profiling.

Major TOC:

1.  Introduction

1.1.  Goal  &  Objective

1.2.  Report  Coverage

1.3.  Supply  Side  Data  Modelling  &  Methodology

1.4.  Demand  Side  Data  Modelling  &  Methodology

2.  Executive  Summary

3.  Market  Outlook   

3.1.  Introduction

3.2.  Current  &  Future  Outlook

3.3.  DROC

3.3.1.  Drivers

3.3.2.  Restraints

3.3.3.  Opportunities

3.3.4.  Challenges 

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4.  Emotion  Analytics  Market,  By  Technology

4.1.  Introduction

4.2.  Biometrics 

4.3.  Artificial  Intelligence 

4.4.  Pattern  Recognition

4.5.  3D  Modelling

4.6.  Others

5.  Emotion  Analytics  Market,  By  End-User

5.1.  Introduction

5.2.  Media  &  Entertainment

5.3.  Retail

5.4.  Healthcare

5.5.  Financial  Services

5.6.  Others

TOC Continued…!

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