The global affective computing market size reached US$ 51.1 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 298.7 Billion by 2028, exhibiting a growth rate (CAGR) of 34.2% during 2022-2028.

Also known as emotion AI, affective computing is a combination of cognitive science, psychology, and computer science that senses the non-verbal emotional signals of human beings. It analyzes the emotion of a person by using an analytics engine, big data, machine intelligence, and different sensors. It assists businesses in enhancing the overall user experience and selling products effectively. As a result, affective computing finds extensive application in autonomous and e-learning systems across the globe.

Affective Computing Market Trends:
Affecting computing helps establish an interaction between a computer and a human being by detecting the stimuli of the user and responding accordingly. The technology relies on high-speed broadband connections to ensure real-time and effective communication between high-resolution dual cameras and the machine learning (ML) models that interpret human emotions. Therefore, the numerous benefits offered by affective computing represent one of the significant factors positively influencing its application in several end use industries around the world. Besides this, it can be employed for personalization, such as changing room temperature, music, and lighting as per the requirement of the user, which is contributing to the market growth. Furthermore, the rising adoption of AI in logistics, parking aid software, autonomous cars and surgical robots is bolstering the growth in the market. Apart from this, the growing deployment of robots, rising utilization of wearable devices, and increasing collaborations among market players are anticipated to catalyze the demand for affective computing across the world.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global affective computing market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on technology, components and end use.

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

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

Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being 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 and Nuance Communications Inc.

Key Questions Answered in This Report

1. How big is the global affective computing market?
2. What is the expected growth rate of the global affective computing market during 2023-2028?
3. What are the key factors driving the global affective computing market?
4. What has been the impact of COVID-19 on the global affective computing market?
5. What is the breakup of the global affective computing market based on the technology?
6. What is the breakup of the global affective computing market based on the components?
7. What is the breakup of the global affective computing market based on the end use?
8. What are the key regions in the global affective computing market?
9. Who are the key players/companies in the global affective computing market?