PUBLISHER: Grand View Research | PRODUCT CODE: 1790190
PUBLISHER: Grand View Research | PRODUCT CODE: 1790190
Emotion AI Market Summary
The global emotion AI market size was estimated at USD 2,137.5 million in 2024 and is projected to reach USD 13,397.1 million by 2033, growing at a CAGR of 22.9% from 2025 to 2033. The growing need for AI and machine learning model advancements is anticipated to significantly accelerate market growth. The need for personalized customer experiences drives the market through various channels such as websites, social media, and in-store customer interactions.
The market is driven as it allows various companies to detect and interpret customer emotions through multiple mediums, including websites, social media platforms, and physical stores for shopping and other activities. Emotion AI helps diverse businesses deliver personalized insights or recommendations, which provides better and improved customer service through targeted marketing campaigns, resulting in brand loyalty and customer satisfaction. Various sectors, such as the retail and e-commerce sectors, are experiencing the benefits of this technology by using Emotion AI to enhance shopping experiences and better understand consumer sentiment while shopping.
Other market drivers are the increasing need for advancements in AI algorithms and machine learning techniques that have significantly improved the precise and efficient recognition and analysis of human emotions. As the demand for the emergence of multimodal AI rises, which basically integrates facial expressions, voice recognition, and biometric signals, many more have improved accuracy, offering a clearer and smoother understanding of human emotions to AI. This technology of emotion AI is increasingly being integrated into vehicles to detect signs of driver tiredness, distraction, and stress, which improves overall road safety by reducing any accidents and incidents that might happen. These systems can send alerts or take safety measures to prevent accidents that might occur due to the emotional or cognitive impairment of the driver.
Moreover, factors driving the market are the increasing integration with technologies like augmented and virtual reality (AR and VR), enhancing user experiences by experiencing digital environments in real time based on human emotional responses, resulting in more interactive, engaging, and emotionally immersive experiences. Emotion AI contributes to the development of ethical, empathetic AI that can recognize and respect human emotions, reduce bias, and encourage healthier human-AI interactions. Furthermore, the widespread adoption of wearable devices and IoT sensors capable of detecting physiological and behavioral signals is also anticipated to drive the growth of emotion-aware applications. These technologies enable continuous, real-time emotion monitoring, allowing for more personalized and context-sensitive user experiences.
Global Emotion AI Market Report Segmentation
This report forecasts revenue growth on global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global emotion AI market report based on component, technology, application, and region: