Emotion Analytics Market 2019–2022 : Global Growth Drivers, Opportunities, Trends, and Forecasts – iCrowdNewswire
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Aug 30, 2019 2:53 PM ET

Emotion Analytics Market 2019–2022 : Global Growth Drivers, Opportunities, Trends, and Forecasts


Emotion Analytics Market 2019–2022 : Global Growth Drivers, Opportunities, Trends, and Forecasts

iCrowd Newswire - Aug 30, 2019

WiseGuyReports.Com Publish a New Market Research Report On –“ Emotion Analytics Market 2019–2022 : Global Growth Drivers, Opportunities, Trends, and Forecasts”.

Emotion Analytics Industry 2019

Description:-

The emotions of humans can be read as well as analyzed with the help of gesture, face, and voice inputs. The universally accepted human emotions include joy, anger, fear, surprise, sadness, disgust, and contempt. The emotion analytics is used to examine the verbal as well as the non-verbal communication of an individual for understanding their attitude and mood. 

The emotion analytics finds its application in the business sector for identifying the perception of customers about the company’s products. The emotion analytics software programs assist the organizations in data collection, classification, analytics, and visualization. The data collected by emotion analytics assist in the formation of strategies that enhance business performances. The software is useful for effective customer relationship management by different business units. Emotion analytics helps in delivering a personalized experience to the customers 

 

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Market Division

The worldwide emotion analytics market is broadly segmented based on type, technology, verticals, solutions, and regions. 

Based on the type, the global market of emotion analytics includes speech analytics, facial analytics, video analytics, and others. The growing interest of the organizations to understand the facial expressions and emotions of the customers is driving the facial analytics market segment. Facial analytics helps let the organization be informed about the consumer perceptions of their products. 

Depending on the technology, the emotion analytics market is subdivided into artificial intelligence (AI), 3D modeling, record management, biometric and neuroscience, pattern recognition, and others. The AI segment holds the largest market share owing to its increasing implementation. The advancements in machine learning technologies to analyze human behaviors are driving the market growth of AI. The biometric segment is expected to grow at a faster pace due to its increasing implementation for securing the operations of different organizations. 

The solution segment of the worldwide emotion analytics market includes mobile and web application, cloud, API and SDK, and other solutions. The API and SDK is the leading market segment with a CAGR of 82.6%. The interaction of web and mobile applications with the cloud APIs offers the customers easy access to the applications. 

The verticals included in the global emotion analytics market are healthcare, financial services, market research, retail, media and entertainment, photography and events, and others. Media and entertainment is the market leader in the emotion analytics market. The implementation of biometric facial recognition technology in important sectors like healthcare, government organizations, and financial services is driving market growth.

Geographical Segmentation and Key Players

The geographical segmentation of the analytic market includes North America, Asia Pacific, Europe, and others. North America is the leading emotion analytics market that is expanding at a rapid pace. The Asia Pacific region is expected to grow by a CAGR of 85.8% over the forecast period.

The top players of the worldwide emotion analytics market are Google, IBM, Neuromore, Microsoft, Affectiva, Imotions A/S, Retinad Virtual Reality, Cogito, and many others. 

Industry News

In March 2019, Tobii launched its latest resources and tools for VR, AR, PC, AND XR development. The development of resources and tools will help in the integration of eye-tracking technologies to deliver better experiences to the customers. 

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