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

Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions. This is both something that humans do automatically but computational methodologies have also been developed.
In 2017, the global Emotion Recognition 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 2018-2025.

The key players covered in this study
Microsoft
IBM
Qemotion
AYLIEN
MoodPatrol
indiCo
Lexalytics
Datumbox
Optimiser
Google
Apple
Affectiva
Kairos
Eyeris

Market segment by Type, the product can be split into
Detecting Physiological Signals
Detecting Emotional Behavior

Market segment by Application, split into
Artificial Intelligence
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Other

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 Emotion Recognition status, future forecast, growth opportunity, key market and key players.
To present the Emotion Recognition 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 Emotion Recognition are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.