Global Emotion Detection and Recognition Market

Emotion Detection and Recognition Market Size, Share, Growth Analysis, By Component (Software and Services), By Tools (Gesture & Posture Recognition, Speech and Voice Recognition), By Technology (Bio Sensors Technology, Machine Learning), By Application (Surveillance and Monitoring, Marketing and Advertising), By End-use (BFSI, Healthcare & Life Sciences), By Region -Industry Forecast 2025-2032


Report ID: SQMIG45F2173 | Region: Global | Published Date: February, 2025
Pages: 197 | Tables: 147 | Figures: 78

Emotion Detection and Recognition Market News

  • In June 2024, Tobii introduced Glasses Explore, a cloud-based software that simplifies the analysis of human awareness and behavior. Combined with Tobii Pro Glasses 3, this software allows users to easily understand the areas where human beings pay attention and their reasoning for this behavior. The solution has been designed for quick insights into training, performance, and user experience, offering a way to capture perspectives in first-person in a real-world environment.
  • In January 2024, Paravision launched Paravision Liveness, a new technology that can passively detect if a face image is real or fake. This technology, combined with Paravision's existing face recognition capabilities, significantly improves remote identity verification. It enhances security, reduces user inconvenience, and ensures equal access for all demographic groups. Along with the product launch, the company announced its multi-level iBeta certification.
  • In July 2022, Microsoft Corporation announced its new digital contact center platform, a comprehensive, flexible customer care solution. This digital contact center platform is powered with Nuance AI, Teams, and Dynamics 365.
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Global Emotion Detection and Recognition Market size was valued at USD 47.28 Billion in 2023 and is poised to grow from USD 54.84 Billion in 2024 to USD 179.80 Billion by 2032, at a CAGR of 16.0% during the forecast period (2025-2032).

The global emotion detection and recognition industry is highly competitive, driven by advancements in AI, machine learning, and facial recognition technologies. Leading players such as Affectiva (acquired by Smart Eye), Microsoft, and IBM leverage deep learning and computer vision to analyze emotions from facial expressions, voice patterns, and physiological signals. Companies like NVISO, Realeyes, and Kairos focus on emotion AI applications in marketing, healthcare, and automotive sectors 'IBM Corporation', 'Affectiva', 'Microsoft Corporation', 'iMotions', 'Ginger.io', 'Apple Incorporated', 'KeenCorp', 'Amazon Web Services', 'Cogito Corporation', 'Kairos', 'NeuroSky', 'SAS Institute', 'NICE Ltd.', 'Lexalytics', 'Realeyes', 'Noldus Information Technology BV.', 'Visage Technologies', 'TAWNY', 'Deepgram', 'Stork Tech, Inc.'

One of the major driving factors behind the emotion detection and recognition market is increased focus on improving customer experience. Emotions play a pivotal role in shaping customer preference and loyalty, which is accepted by businesses of all industries. Emotion analytics technologies like facial expression recognition and speech analytics allow for organizations to understand perceive respond to the customer’s emotions helping them to personalize interactions, which in turn helps increase satisfaction leading relation with customers over prolonged time.

Integration of Emotion Analytics in Human Resources: One significant trend in the global emotion detection and recognition market is the growing use of such technologies within HR practices. Companies are realizing the importance of monitoring and responding to their employees’ emotional health. Emotion analytics tools are used for the purpose of employee engagement, sentiment analysis and talent management. This is because a positive working environment encourages productivity and further enhances employees’ job satisfaction.

Asia Pacific dominated the market with a revenue share of 30.5% in 2023. This is owing to the region's rapid technological advancements, strong adoption of AI and ML technologies, and increasing demand for emotional intelligence solutions. The regional dominance in the EDR market can be attributed to fast-growing countries such as China, Japan, and South Korea, which have incorporated EDR technology across various industries, including healthcare, automotive, and consumer electronics. The region's vast population, increasing disposable income, and growing demand for personalized experiences have fueled the adoption of emotion detection and recognition (EDR) solutions.

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Global Emotion Detection and Recognition Market

Report ID: SQMIG45F2173

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