PUBLISHER: Grand View Research | PRODUCT CODE: 2152727
PUBLISHER: Grand View Research | PRODUCT CODE: 2152727
The global affective computing market size was valued at USD 102.4 billion in 2025 and is projected to grow from USD 133.7 billion in 2026 to USD 866.6 billion by 2033, at a CAGR of 30.6% from 2026 to 2033. The North American dominated the market, accounting for a revenue share of 39.5% in 2025. Rapid advancements in AI, machine learning (ML), and sensor technologies, coupled with an increased emphasis on offering an enhanced user experience, have fueled market growth. In addition, the growing need for sentiment analysis and emotional intelligence in customer service and marketing is driving businesses to invest in affective computing solutions.
Various sectors, such as media and entertainment, advertisement services, healthcare and life sciences, and IT & telecom, have started using affective computing solutions to ensure more personalized user experiences. As innovations in this technology continue, various other industries are expected to leverage affective computing techniques over the forecast period.
According to the International Federation of Robotics (IFR) in its World Robotics 2024 Service Robots Report, the demand for service robots is expected to rise sharply in the near future, particularly in critical areas such as transportation, logistics, healthcare, and agriculture. Service robots are particularly useful in hospitality, medical operations, and other services where direct human contact is frequent. Enhance service operability and improve the user experience by equipping these robots with affective computing solutions. Moreover, rapid technological breakthroughs in audio and visual sensor technologies have enabled more personalized user experiences in these service areas.
The integration of affective computing and AI has led to the emergence of emotional AI. This concept involves sensing human emotions using audiovisual sensors and making operational decisions. Emotional AI can be particularly leveraged in the healthcare sector. For instance, a person with autism can be better understood using this technology, which can aid in their mental well-being. Furthermore, the media and entertainment sector can benefit from affective computing by gaining insights into the effectiveness of their advertising campaigns. For instance, in September 2025, JioStar announced the launch of Moment.AI, a contextual advertising tool powered by advanced AI designed to help brands connect with viewers by making campaigns more effective and engaging.
Global Affective Computing Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global affective computing market report based on technology, component, end use, and region:
Touch-based
Touchless
Hardware
Software
Education
Media and Entertainment
Government and Defense
Healthcare and Life Sciences
IT and Telecom
Retail and E-commerce
Automotive
BFSI
Others
North America
Europe
Asia Pacific
Latin America
Middle East & Africa