Affective Computing Market Share, Size, Growth, Opportunity and Forecast 2021-2026

*As the coronavirus disease (COVID-19) crisis takes over the world, we are continuously tracking the changes in the markets, as well as the purchase behaviours of the consumers globally and our estimates about the latest market trends and forecasts are being done after considering the impact of this pandemic.

Affective Computing Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

Market Overview:

The global affective computing market exhibited strong growth during 2015-2020. 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.

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. Looking forward, IMARC Group expects the global affective computing market to grow at a CAGR of around 31% during the forecast period (2021-2026).

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 for growth at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, 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:

How has the global affective computing market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global affective computing market?
What are the key regional markets?
What is the breakup of the market based on the technology?
What is the breakup of the market based on the components?
What is the breakup of the market based on the end use?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global affective computing market and who are the key players?
What is the degree of competition in the industry?