Emotion Analytics Market 2020: Key Vendors Analysis, Import & Export, Revenue by Forecast to 2023
Overview:
The global emotion analytics market is growing rapidly. The emotion analytics is widely used for among various end users such as enterprises, defense and security agencies, commercial, industrial among other, are propelling the emotion analytics market growth. The companies are investing in the artificial intelligence and machine learning which are boosting the growth of the emotion analytics market. For instance, the multimodal emotion artificial intelligence is the combination of facial analytics and speech analytics that offer an insight into the human expression of emotion.
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The technological advancement in technologies including API and SDK, mobile and web application, and others are propelling the growth of the emotion analytics market. On October 17, 2016, Affectiva, a global leader of Emotion AI, released their emotion recognition SDK integrated with Unity that can adapt to users’ emotional states in real-time across multiple platforms. The companies are implementing emotion analytics software due to increasing volume of videos, critical decision making, and understanding human behavior.
Segmentation:
The global emotion analytics market is segmented on the basis of type, technologies, solution, and end-users.
By type, the market is segmented into facial analytics, speech analytics, video analytics, and others. Speech analytics segment is highly popular due to the need for higher customer satisfaction, rising significance for real-time analytics, and increasing need for speech analytics solutions to the growing BPO sector. This segment is experiencing massive transformation with increasing investments for data analysis; it helps many companies to focus on customer acquisition, enhance customer retention ration, and also improve business loyalty. On the other hand, facial analytics is witnessing robust growth owing to its increasing usage in both law enforcement and non-law enforcement applications.
The technologies segment is fragmented into artificial intelligence, biometrics and neuroscience, 3D modeling, pattern recognition, records management, and others. Major drivers for artificial intelligence segment are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants.
The solution segment is further segmented into mobile and web application, cloud, and many more. By end-users, the emotion analytics market is segmented into enterprises, defense and security agencies, commercial, industrial, and more. Law enforcement and security agencies are enabling a computer software which can analyze nonverbal expressions on video which will help to make legal judgments.
Regional Analysis:
By region, the global emotion analytics market is analyzed across key geographies namely North America, Europe, and the Asia Pacific among others. In the North American region, the emotion analytics market is gaining demand from a various solution including API & SDK, mobile & web application, cloud, and others. For instance, the SDK allows creating interactive and emotion-based applications in the companies.
The global emotion analytics market is segmented into type, technologies, solution, end-users, and region. The type is segmented into facial analytics, speech analytics, video analytics, and others. The technologies segment is sub-segmented into artificial intelligence, biometrics and neuroscience, 3D modeling, pattern recognition, records management, and others. The solution segment is sub-segmented into mobile and web application, cloud, and others. The end-users segment is sub-segmented into enterprises, defense and security agencies, commercial, industrial, and others. The market is spanned across regions including North America, Europe, Asia Pacific, and rest of the world.
Key Players:
Market Research Future (MRFR) recognizes the following companies as the key players in the global emotion analytics market: Microsoft Corporation (U.S.), International Business Machines Corporation (U.S.), Apple, Inc. (U.S,), Retinad Virtual Reality Inc. (Canada), Neuromore Inc. (U.S.), Imotions A/S (Denmark), Kairos AR, Inc. (U.S.), Beyond Verbal (Israel), Affectiva (U.S.), Eyris (EmoVu) (U.S.), Adoreboard (U.K.), sensation.io (Germany), iMotions (U.S), RealComm Global LLC (U.S), Lightspeed LLC (U.S.) among others.
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