Affective computing, or emotional AI, enables computers to interpret, simulate, recognize, and process human emotions and feelings. It applies knowledge from psychology, computer science and cognitive science. Affective computing analyzes emotions by employing big data, different sensors, machine intelligence and an analytics engine. Businesses leverage the insights gained from this system to improve decision-making in consumer-centric processes, such as marketing, sales and customer services. Consequently, affective computing finds widespread applications in e-learning and autonomous systems.

Market Trends:

The increasing penetration of the internet and the escalating demand for wearable devices are primary factors propelling the global affective computing market. It is further being supported by the rising need for understanding consumer behavior by businesses across the globe. Other than this, rapid technological development has inflated the demand for advanced electronic devices, such as voice-activated biometrics, which is propelling the market growth. Moreover, the increasing deployment of software tools in educational institutes and support mechanisms in medical services is creating a positive outlook for the market.

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We are regularly tracking the direct effect of COVID-19 on the market, along with the indirect influence of associated industries. These observations will be integrated into the report.

Global Affective Computing Market Coverage and Segmentation 2021-2026:

Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

Some of these key players include:

Affectiva Inc.
Cipia Vision Ltd.
Cognitec Systems GmbH
Elliptic Laboratories A/S
Google LLC (Alphabet Inc.)
Intel Corporation
International Business Machines Corporation
Kairos AR Inc.
Microsoft Corporation
Nuance Communications Inc.

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The report has segmented the market on the basis of Product Type, End-User and Region.

Breakup by Technology:

Touch-based
Touchless

Breakup by Components:

Hardware
Sensors
Cameras
Storage Devices and Processors
Others
Software
Analytics Software
Enterprise Software
Facial Recognition
Gesture Recognition
Speech Recognition

Breakup by End Use:

Automotive
BFSI
Government
Healthcare
IT and Telecom
Others

Market Breakup by Region:

North America (United States, Canada)
Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
Latin America (Brazil, Mexico, Others)
Middle East and Africa

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