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Affective computing is human-computer interaction with the ability to detect and accordingly respond to the emotions and other stimuli of the users. The users? emotional state is detected through sources such as facial expressions, posture, gestures, speech, the force or rhythm of key strokes and the temperature changes of the hand on a mouse. These emotional signals are not only detected but also interpreted by the system. Meaningful insights are identified with the help of a built-in camera which captures images of the users. Speech recognition and gesture recognition are some of the other technologies that are studies for affective computing applications. Based on the type, the Affective Computing market is segmented into Software and Hardware. Software is further segmented into Speech Recognition, Analytics Software, Gesture Recognition, Facial Feature Extraction, and Enterprise Software. Hardware is further segmented into Sensors, Cameras, Storage Devices & Processors, and Others. Based on Technology, the market is segmented into Touch Based and Touch Less. The verticals included in the report are Healthcare & Life Sciences, BFSI, Retail & E Commerce, Automotive, Telecom & IT, Research & Academics, Media & Entertainment, and Others. Based on region, Affective Computing market is segmented into North America (US, Canada, Mexico and Rest of North America), Europe (Germany, UK, France, Russia, Spain, Italy and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Singapore, Malaysia and Rest of Asia-Pacific) and Latin America, and Middle East & Africa. North America remained the dominant region in the global Affective Computing market in 2015. Asia-Pacific would witness promising CAGR during the forecast period (2016-2022). The report covers the analysis of key stake holders of the Affective Computing market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google Inc., Sony Corporation, Apple Inc., Cognitec Systems GmbH., Intel Corporation, and Affectiva.