Affective Computing
Top 10+ Emotional AI Examples & Use Cases in 2025
The emotion detection and recognition (EDR) market is estimated to reach at ~$50 Bn in 2024, and is expected to reach ~$173 Bn by 2031. Emotion detection and recognition rely on emotion AI to identify, process, and simulate human feelings and emotions.
Top 30 Affective Computing Applications: Emotion AI Use Cases
Thanks to affective computing, also known as emotion AI, computers start to recognize human emotions based on facial expressions, body language, or voice tone. Technology’s applications in different industries are expanded by significant investment in technology where some managers lack knowledge.
Affective Computing: In-Depth Guide to Emotion AI in 2025
Affective computing systems automatically identify emotions. These tools are used in several business cases, such as marketing, customer service, and human resources, to increase customer satisfaction and ensure safety.