Market Overview:

The global affective computing market reached a value of US$ 37.0 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 227.6 Billion by 2027, exhibiting a CAGR of 35.7% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor. 

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 for growth at the global and regional level from 2022-2027. 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:

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?