Emotion AI Market Size to Reach USD 12,473.1 Million in 2032
The global Emotion AI market size reached USD 2,548.7 Million in 2024 and is expected to register a revenue CAGR of 22.3% during the forecast period.
January 23, 2025 – Rising adoption of emotion AI in Healthcare is the key factor driving market revenue growth. Emotion AI provides advanced technologies like facial recognition, voice analysis, and machine learning, by which healthcare providers monitor patient emotions, improve mental health diagnostics, and personalize treatment plans. Emotion AI is increasingly used in applications such as stress management, therapy sessions, and patient engagement tools. It is enhancing overall patient care and satisfaction. In addition, its ability to detect early signs of emotional distress or mental health issues has made it indispensable in telemedicine and remote healthcare solutions. For example, U.S. based mental health care company Twill Inc. provides emotion AI in mental healthcare. Its intelligent healing platform employs AI to understand an individual’s health requirements and provide tailored recommendations for action.
In June 2024, researchers at Huazhong University of Science and Technology made an advancement in emotion recognition technology by developing an innovative system with the potential to revolutionize human-machine interaction and mental health monitoring. This cutting-edge technology is called Domain Generalization and Residual Network-Based Emotion Recognition from Physiological Signals (DGR-ERPS). It utilizes intricate physiological signals to precisely identify human emotions.
However, lack of transparency in AI decision-making processes is a significant factor restraining revenue growth in the emotion AI market. Emotion AI systems rely on complex algorithms and data models, which making it challenging for users to understand how decisions or insights are generated. This opacity raises concerns about biases, inaccuracies, and ethical implications, particularly in sensitive areas like healthcare, recruitment, and customer service. This lack of trust and understanding is limiting the full potential of Emotion AI, and restraining its market revenue growth.
Key Highlights:
- Customer Experience Management (CXM) segment is expected to register a significant revenue growth rate over the forecast period due to the rising need of CXM in retail, e-commerce, and banking sectors. Emotion AI enhances CXM by analyzing customer emotions through facial expressions, voice tones, and text sentiment, enabling businesses to personalize interactions and improve satisfaction levels. This technology is widely adopted across industries such as retail, e-commerce, and banking, where understanding customer sentiment is crucial for retention and loyalty.
- Media and Entertainment segment accounted for a significant revenue share in 2024. Emotion AI is increasingly used to analyze emotional responses to movies, advertisements, and TV shows among viewers. It provides content creators and marketers with valuable insights to optimize their offerings. Additionally, the rise of streaming platforms and on-demand content has fueled the demand for Emotion AI and driving the revenue growth of this segment.
- North America accounted for largest revenue share in 2024 in the Emotion AI market due to the region’s advanced technological infrastructure and widespread adoption of AI across industries especially in U.S. and Canada. Emotion AI is widely adopted across various industries, such as call centers, finance, banking, and healthcare. Over 50% of U.S. employers from large enterprises now utilize emotion AI to assess internal states of the employees.
- Some major companies in the global market report include Affectiva (Smart Eye), Realeyes, IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services (AWS), Apple Inc., Kairos AR, Inc., Cognitec Systems GmbH, Synthesia, Sighthound, Inc., Sentiance NV, Emotibot Technologies Limited, and Qemotion.
- On 03 October 2024, Affectiva, a Smart Eye company and a global leader in Emotion AI, has announced a three-year extension of its partnership with Kantar, a leading global marketing data and analytics company. This collaboration, which has been ongoing for over a decade, highlights Kantar’s trust in Affectiva’s technology to deliver precise and comprehensive attention and emotional insights. The renewed partnership allows both companies to meet the growing demand for facial coding in advertising, media, and market research.
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Navistrat Analytics has segmented global Emotion AI market on the basis of component, deployment, technology, application, end-use, and region:
- Component Outlook (Revenue, USD Million; 2022-2032)
- Hardware
- Software
- Service
- Deployment Outlook (Revenue, USD Million; 2022-2032)
- On-Premises
- Cloud-Based
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Technology (Revenue, USD Million; 2022-2032)
- Facial Expression Recognition
- Speech/Voice Recognition
- Natural Language Processing (NLP)
- Physiological Signal Sensing
- Others
- Application (Revenue, USD Million; 2022-2032)
- Customer Experience Management (CXM)
- Sentiment Analysis
- Engagement Analysis
- Human-Robot Interaction Optimization
- Consumer Behavior Analysis
- Audience Emotion Tracking
- Others
- End-Use Outlook (Revenue, USD Million; 2022-2032)
- Retail & E-Commerce
- BFSI (Banking, Financial Services, and Insurance)
- IT & Telecom
- Automotive
- Healthcare
- Education
- Media and Entertainment
- Others
- Regional Outlook (Revenue, USD Million; 2022-2032)
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Benelux
- Nordic Countries
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Oceania
- ASEAN Countries
- Rest of APAC
- Latin America
- Brazil
- Rest of LATAM
- Middle East & Africa
- GCC Countries
- South Africa
- Israel
- Turkey
- Rest of MEA
- North America