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 34.5% during 2023-2028.
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.
Report Coverage:
Report Features
Details
Base Year of the Analysis
2022
Historical Period
2017-2022
Forecast Period
2023-2028
Units
US$ Billion
Segment Coverage
Technology, Components, End Use, Region
Region Covered
Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered
United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered
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.
Customization Scope
10% Free Customization
Report Price and Purchase Option
Single User License: US$ 2499
Five User License: US$ 3499
Corporate License: US$ 4499
Post-Sale Analyst Support
10-12 Weeks
Delivery Format
PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)
Key Questions Answered in This Report
The global affective computing market was valued at US$ 51.1 Billion in 2022.
We expect the global affective computing market to exhibit a CAGR of 34.5% during 2023-2028.
The rising integration of Machine Learning (ML), Artificial Intelligence (AI), and dual cameras with affective computing solutions to detect human behavior, motion, gestures, and physiology, is primarily driving the global affective computing market.
The sudden outbreak of the COVID-19 pandemic has led to the growing adoption of affective computing for monitoring the coronavirus-infected patient conditions and providing the relevant treatment.
Based on the technology, the global affective computing market can be segmented into touch-based and touchless, where touch-based currently accounts for the majority of the global market share.
Based on the components, the global affective computing market has been divided into hardware and software. Currently, hardware exhibits a clear dominance in the market.
Based on the end use, the global affective computing market can be bifurcated into automotive, BFSI, government, healthcare, IT and telecom, and others. Among these, healthcare holds the largest market share.
On a regional level, the market has been classified into North America, Asia-Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.
Some of the major players in the global affective computing market 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, and Nuance Communications Inc.
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