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Affective Computing Market Size Worth USD 284.73 Billion in 2028

  • Опубликовал(а) Shabaz Sayyed Sayyed
  • 27 июня 2021 г., 20:02:36 MSK
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In January 2021, Uniphore made an announcement about the acquisition of Emotion Research Lab, which is a firm engaged in video Artificial Intelligence and affective computing. Emotion Research Lab deploys Artificial Intelligence and Machine Learning to detect real-time engagement and emotion levels through video interactions

Growing demand for telemedicine and increasing need to remotely assess patient’s health is a significant factor driving global affective computing market revenue growth

The global affective computing market size is expected to reach USD 284.73 Billion at a steady CAGR of 32.5% in 2028, according to latest analysis by Emergen Research. Steady market revenue growth can be attributed to growing demand for telemedicine and increasing need to remotely assess patient’s health. Remote monitoring of patients is a primary application of telemedicine. Use of affective competing through smart devices such as smart wearables in telemedicine enables a more cost-effective and rapid means of assessing current state and need for medication for a patient at a distance. In addition, telemedicine providers focusing on specialized areas, including telepsychiatry, can particularly gain from affective computing, which enables psychiatrists/psychologists to comprehend feelings and emotional states of their patients even though the patient is physically not present or are unable  to describe their emotions to a psychologist.

Key players in the market include Microsoft Corporation, Affectiva, Google LLC, Elliptic Laboratories A/S, Apple Inc., Cognitec Systems GmbH, Sony Depthsensing Solutions, International Business Machine Corporation, Qualcomm Technologies Inc., and Cipia Vision Ltd.

To get leading market solutions, visit the link below: https://www.emergenresearch.com/industry-report/affective-computing-market

Affective computing technology is garnering considerable traction in the gaming industry, especially, in developing games that feature emotionally-rich interactive storytelling content or conversational agents. Affective computing can help games interact more naturally with the player by using computer vison to recognize their emotions through facial expressions and adapt accordingly.

 

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