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Global Affective Artificial Intelligence Market Growth (Status and Outlook) 2023-2029

Publisher LP Information, Inc.
Published May 01, 2023
Length 95 Pages
SKU # LPI17899252

Description

Global Affective Artificial Intelligence Market Growth (Status and Outlook) 2023-2029

According to this study, the global Affective Artificial Intelligence market size will reach US$ million by 2029.

Emotion AI refers to artificial intelligence that detects and interprets human emotional signals in text (using natural language processing and sentiment analysis), audio (using voice emotion AI), video (using facial movement analysis, gait analysis and physiological signals) or combinations thereof.

This report presents a comprehensive overview, market shares, and growth opportunities of Affective Artificial Intelligence market by product type, application, key players and key regions and countries.

Segmentation by product type:
Text Emotion AI
Voice Emotion AI
Video Emotion AI

Segmentation by Application:
Marketing Service
Healthcare
Education
Gaming
Others

This report also splits the market by region:
United States
China
Europe
Other regions:
Japan
South Korea
Southeast Asia
Rest of world

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
Neurodata Lab
Emotibot
Affectiva
Beyond Verbal
NVISO
Cynny S.p.a.
Entropik Technologies
Human (wearehuman.io)
CrowdEmotion
Mad Street Den
MusiMap
NuraLogix
Emoshape
BRAIQ
Receptiviti
Personalyze

Please note: the online download version of this report is for a global site license.

Table of Contents

95 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Affective Artificial Intelligence Key Players
4 Affective Artificial Intelligence by Regions
5 United States
6 Europe
7 China
8 Rest of World
9 Market Drivers, Challenges and Trends
10 Key Investors in Affective Artificial Intelligence
11 Key Players Analysis
12 Research Findings and Conclusion

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