Artificial Intelligence in Emotion Recognition Global Market Report 2024

The artificial intelligence in emotion recognition market size has grown rapidly in recent years. It will grow from $1.04 billion in 2023 to $1.22 billion in 2024 at a compound annual growth rate (CAGR) of 18%. The growth observed during the historical period can be attributed to several factors, including the increased availability of diverse datasets, a rise in the adoption of deep learning methodologies, integration with human-computer interaction processes, a growing demand for enhancing customer experiences, and applications in the domain of mental health.

The artificial intelligence in emotion recognition market size is expected to see rapid growth in the next few years. It will grow to $2.35 billion in 2028 at a compound annual growth rate (CAGR) of 17.8%. The anticipated growth in the forecast period can be linked to various factors, including the integration with wearable devices, an expansion of applications within the automotive industry, improved cross-cultural adaptation capabilities, increased utilization in human resources, and the incorporation into virtual assistants. Prominent trends expected in the forecast period encompass advancements in facial recognition technology, the development of multimodal emotion recognition, real-time emotion analysis, AI-driven personalization, and the integration of emotion recognition within human-computer interaction processes.

The increasing demand for sophisticated marketing tools is poised to drive the growth of artificial intelligence in the emotion recognition market in the foreseeable future. Sophisticated marketing tools encompass a range of technologically advanced solutions designed to elevate various facets of marketing strategies, campaigns, and overall performance. Emotion recognition technology, a key component in this landscape, empowers marketers to craft personalized campaigns by comprehending individual emotional responses. This capability allows for tailored content and advertisements that align with the emotional profiles of specific audience segments, facilitating more effective and resonant communication. As reported in a January 2024 Influencer Marketing Hub publication, over 60% of businesses utilize AI in marketing, with 44% employing AI for content production. The forecast anticipates that by 2030, approximately 70% of companies will likely embrace diverse forms of AI technology. Hence, the growing need for advanced marketing tools is expected to steer the utilization of artificial intelligence in the emotion recognition market.

Prominent companies engaged in the artificial intelligence in emotion recognition market are spearheading technological advancements in AI, exemplified by the development of AI-based audience segmentation. This approach aims to enhance the precision and personalization of emotion recognition, enabling more effective and customized emotion recognition products. AI-based audience segmentation involves utilizing artificial intelligence algorithms to categorize a target audience into distinct and meaningful groups based on various criteria. In September 2023, AB Tasty, a France-based customer experience optimization company, unveiled EmotionsAI, a technology empowering customers to implement AI-driven audience segmentation based on emotional needs. This innovative product marks AB Tasty's inaugural venture into leveraging AI for enhanced digital experiences, providing brands the capability to personalize interactions on an emotional level. EmotionsAI facilitates improved win rates and the formulation of more effective strategies for personalizing customer experiences, proving to be a method conducive to driving revenue. This technology revolutionizes brands' ability to tailor customer experiences by focusing on emotional needs.

In January 2021, Uniphore, a US-based global leader in conversational service automation, successfully acquired Emotion Research Lab for an undisclosed sum. This strategic acquisition positions Uniphore to expand its horizons with new and innovative solutions, leveraging AI and automation across all voice and video applications. Emotion Research Lab, based in Spain, stands as a leading software developer utilizing AI and machine learning to identify emotion and engagement levels in real-time during video-based interactions.

Major companies operating in the artificial intelligence in emotion recognition market report are Apple Inc., Google LLC, Microsoft Corporation, Intel Corporation, International Business Machines Corporation, NEC Corporation, SoftBank Robotics Group Corp., Tobii AB, Entropik Technologies Pvt. Ltd., Kairos Inc., Raydiant Corporation, Neurotechnology, Noldus Information Technology BV, Cognitec Systems GmbH, Affectiva Inc., GestureTek Inc., Ayonix Corporation, iMotions Inc., Sony Depthsense Solutions, Elliptic Labs AS.

North America was the largest region in the artificial intelligence in emotion recognition market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in emotion recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in the emotion recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in the emotion recognition market consists of revenues earned by entities by providing services such as emotion recognition software development, sentiment analysis services, training and consultancy, maintenance, and support. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The artificial intelligence in the emotion recognition market consists of sales of human-computer interaction devices and consumer electronics with emotion recognition features. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Artificial Intelligence (AI) in emotion recognition involves the utilization of advanced technologies, algorithms, and machine learning techniques to analyze and interpret human emotions. The primary objective is to equip machines with the capability to recognize, understand, and respond to human emotions, relying on various cues such as facial expressions, voice tones, gestures, and physiological signals.

The primary components of artificial intelligence in emotion recognition consist of software and services. Emotion recognition or emotion detection software encompasses technology that utilizes AI and machine learning algorithms to analyze and interpret facial expressions and emotions. Various tools within this domain include facial expression recognition, speech and voice recognition, gesture recognition, and posture recognition, integrated with technologies such as machine learning, biosensor technology, natural language processing, feature extraction, and pattern recognition. These tools find applications in diverse fields such as marketing and advertising, surveillance and monitoring, medical emergencies, robotics and eLearning, and other sectors. End-use verticals benefiting from these applications include banking, financial services, and insurance (BFSI), healthcare and life sciences, IT and telecommunication, retail and eCommerce, education, media and entertainment, automotive, among others.

The artificial intelligence in emotion recognition market research report is one of a series of new reports that provides artificial intelligence in emotion recognition market statistics, including artificial intelligence in emotion recognition industry global market size, regional shares, competitors with an artificial intelligence in emotion recognition market share, detailed artificial intelligence in emotion recognition market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in emotion recognition industry. This artificial intelligence in emotion recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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