Artificial Emotional Intelligence or Emotion AI is also known as emotion recognition or emotion detection technology. Humans use a lot of non-verbal cues, such as facial expressions, gestures, body language and tone of voice, to communicate their emotions. Emotion AI unobtrusively measures unfiltered and unbiased facial expressions of emotion, using an optical sensor or just a standard webcam. Technology first identifies a human face in real-time or in an image or video. Computer vision algorithms identify key landmarks on the face – for example, the corners of your eyebrows, the tip of your nose, and the corners of your mouth.

The global artificial intelligence-emotional recognition market which projected a CAGR of approximately +35% in the midst of the estimate time span of 2019-2025.

The market has been meticulously and expansively evaluated in a 116-page market research publication added into the repository, titled “Global Artificial Intelligence-Emotional Recognition Market” The analysts have put forth brilliant and in-depth research about the current and future status of the global market. The forecast period considered by the analysts in this publication is from 2019 to 2025 and the review period is 2015–2018. This Global Artificial Intelligence-Emotional Recognition Market report is a systematically organized compilation based on the growth rate, present market trends, and factors that affect consumer’s approach towards products and services available in the market.

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Top Key Players:

Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal, Affectiva, Kairos AR, Cloudwalk, IFlytek, Nviso and CrowdEmotion.

The business sectors in North America and Europe possess a critical piece of the pie. Developing markets of the Asia Pacific and the Middle East are foreseen to witness elevated development prospects attributable to the colossal potential in nations, for example, China, India, Japan, Australia, UAE, and Qatar. Latin America is a major region, which is anticipated to show a growing demand for the Global Artificial Intelligence-Emotional Recognition Market. The growth traits of the market are attributed to the propelling demands in Mexico and Brazil.

This market research report on the Global Artificial Intelligence-Emotional Recognition Market is an all-inclusive study of the business sectors up-to-date frameworks, industry enrichment drivers, and manacles. It provides futuristic market prospects in terms of the upcoming years. The report contains all the necessary veritable of most recent innovations, such as Porter's five force model analysis and advanced profiles of elite industry participants. The Global Artificial Intelligence-Emotional Recognition Market report additionally drafts a survey of minor and full-scale factors charging for the new candidates in the market and the ones as of now in the market along with a systematic value chain exploration.

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Artificial Intelligence-Emotional Recognition Market Segmentation by Types
  • Facial Emotion Recognition
  • Speech Emotion Recognition
  • Others
Artificial Intelligence-Emotional Recognition Market Segmentation by Applications
  • Education
  • Medical Care
  • Home
  • Wisdom Center
  • Others
Segment by Regions/Countries, This Artificial Intelligence-Emotional Recognition Market Report Covers
  • United States
  • Europe
  • China
  • Japan
  • Southeast Asia
  • India
In This Study, The Years Considered To Estimate The Market Size Of Artificial Intelligence-Emotional Recognition Are As Follows:
  • History Year: 2015-2018
  • Base Year: 2018
  • Estimated Year: 2019
  • Forecast Year 2019 to 2025
Table Of Content: The Global Artificial Intelligence-Emotional Recognition Market Report Contains:
  1. Global market overview
  2. Global market competition by manufacturers, type and application
  3. USA/China/Japan/Europe/India and Southeast Asia are the regional analysis of artificial intelligence-emotional recognition (volume, value and sales price)
  4. Analysis of the global market by the manufacturer
  5. Artificial intelligence-emotional recognition manufacturing cost analysis
  6. Industrial chain, sourcing strategy, and downstream buyers
  7. Marketing strategy analysis, distributors/traders
  8. Market effect factors analysis
  9. Global market forecast (2019-2025)
  10. Conclusion of the global artificial intelligence-emotional recognition market
  11. Appendix
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