1. Science / Technology

Emotion Analytics Market Growth Regional Analysis, Competitive Landscape and Forecast to 2027 | COVID-19 Effects

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Market Highlights

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.          

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.

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Segmentation:

The MRFR report highlights an inclusive segmental analysis of the global emotion analytics market based on end users, solution, technologies, and type.

By type, the global emotion analytics market is segmented into video analytics, speech analytics, facial analytics, and others.

By technologies, the global emotion analytics market is segmented into record management, pattern recognition, 3D modelling, biometrics and neuroscience, artificial intelligence, and others.

By solution, the global emotion analytics market is segmented into cloud, mobile, and web application, and others.

By end users, the global emotion analytics market is segmented into industrial, commercial, defense and security agencies, enterprises, and others.

Regional Analysis

By region, the Covid 19 emotion analytics (EA) market covers the growth opportunity and recent trends across Europe, North America, the Asia Pacific (APAC), and the Rest of the World (RoW). Of these, North America will lead the market over the forecast period. Heavy investments in R&D in Canada and the US, development of innovative technologies, early adoption of technology, and Canada and the US being the leading countries in banking, financial services, and retail are adding to the global emotion analytics market growth in the region. Besides, wide adoption of AI technology with enterprise existing applications, and growing demand for emotion analytics from cloud, mobile and web application, and API and SDK solutions, are also adding to the global Covid 19 emotional analytics market growth in the region.

The emotion analytics market in Europe is predicted to have the second-largest share over the forecast period. Growing adoption in various end user industries such as government agencies and defense as well as private organizations to understand human behaviour are adding to the global emotion analytics market growth in the region.

The emotion analytics market in the APAC region is predicted to have healthy growth over the forecast period. The rising adoption of cloud-based software is adding to the global emotion analytics market growth in the region.

In the Rest of the World, the emotion analytics market is predicted to have sound growth over the forecast period.

Key Players

Key contenders profiled in the global emotion analytics market report include Lightspeed LLC (U.S.), RealComm Global LLC (U.S), iMotions (U.S), sensation.io (Germany), Adoreboard (U.K.), Eyris (EmoVu) (U.S.), Affectiva (U.S.), Beyond Verbal (Israel), Kairos AR, Inc. (U.S.), Imotions A/S (Denmark), Neuromore Inc. (U.S.), Retinad Virtual Reality Inc. (Canada), Apple, Inc. (U.S,), International Business Machines Corporation (U.S.),and Microsoft Corporation (U.S.), among others.

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Global Emotion Analytics Market Research Report: By Type (Facial Analytics), Technologies (Biometrics), Solution (Cloud), End-Users (Industrial) – Forecast Till 2027

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