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Affective Computing Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
Report Format: PDF+Excel | Report ID: SR112023A3711
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Affective Computing Market Overview:
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) |
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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