According to a new report, published by KBV research, The Global Emotion Detection and Recognition Market size is expected to reach $132.14 billion by 2031, rising at a market growth of 15.1% CAGR during the forecast period.
The Facial Recognition segment is exhibiting a CAGR of 15.4% during (2024 - 2031). The facial recognition segment is driven by its increasing application in security, surveillance, retail, and customer experience enhancement. Governments and law enforcement agencies are deploying facial emotion recognition systems for public safety, fraud detection, and identity verification, boosting demand. In retail and marketing, facial recognition analyzes consumer sentiment and personalizes shopping experiences, enabling brands to tailor engagement strategies. Moreover, industries such as education and healthcare are utilizing AI-powered facial emotion detection for student engagement analysis and mental health assessments.
The Surveillance & Monitoring segment is generating the maximum revenue in the Global Emotion Detection and Recognition Market by Application in 2023; thereby, achieving a market value of $35.28 billion by 2031. Governments and law enforcement agencies increasingly deploy emotion detection and recognition (EDR) systems in smart surveillance networks, airports, public spaces, and critical infrastructure to detect real-time suspicious behavior, threats, or anomalies. The integration of AI-powered facial recognition and behavioral analytics enhances law enforcement capabilities, border control security, and workplace safety.
The Services segment is experiencing a CAGR of 15.9% during (2024 - 2031). Businesses adopting EDR solutions often require consulting, training, and implementation services to tailor the software to their specific use cases. Service providers offer end-to-end solutions, including installation, maintenance, and upgrades, ensuring seamless deployment and functionality of emotion recognition systems. Moreover, organizations increasingly depend on AI ethics consultants and compliance experts to establish responsible AI frameworks that comply with data protection regulations, including GDPR and CCPA, as privacy concerns and ethical considerations continue to escalate.
The Natural Language Processing segment is leading the Global Emotion Detection and Recognition Market by Technology in 2023; thereby, achieving a market value of $36.31 billion by 2031. Natural language processing (NLP) enables machines to interpret, analyze, and respond to human emotions by processing spoken and written language, making it a crucial technology in chatbots, virtual assistants, call center analytics, and mental health monitoring applications. Businesses across customer service, marketing, and healthcare leverage NLP-powered emotion recognition to understand user sentiment and improve engagement.
The Retail & eCommerces segment obtained a CAGR of 14.8% during (2024 - 2031). Retailers leverage emotion recognition technology to analyze customer sentiment, track engagement levels, and optimize product recommendations based on real-time emotional responses. AI-powered facial recognition in smart stores is helping brands create a more immersive and personalized shopping experience, while eCommerce platforms use sentiment analysis to understand customer preferences, improve ad targeting, and boost conversions. Additionally, emotion-driven advertising and neuromarketing strategies are helping businesses craft highly targeted campaigns that resonate with consumer emotions, increasing brand loyalty and sales performance.
Full Report: https://www.kbvresearch.com/emotion-detection-and-recognition-market/
The Asia Pacific region dominated the Global Emotion Detection and Recognition Market by Region in 2023; thereby, achieving a market value of $48.72 billion by 2031. The North America region is expected to witness a CAGR of 14.4% during (2024 - 2031). Additionally, The Europe region would register a CAGR of 14.7% during (2024 - 2031).
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