PUBLISHER: The Business Research Company | PRODUCT CODE: 1681796
PUBLISHER: The Business Research Company | PRODUCT CODE: 1681796
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 from The Business Research Company 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 artificial intelligence in emotion recognition market size has grown rapidly in recent years. It will grow from $1.22 billion in 2024 to $1.44 billion in 2025 at a compound annual growth rate (CAGR) of 17.9%. The growth in the historic period can be attributed to increased availability of diverse datasets, rise in the adoption of deep learning, integration with human-computer interaction, demand for customer experience enhancement, applications in 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 $2.78 billion in 2029 at a compound annual growth rate (CAGR) of 17.8%. The growth in the forecast period can be attributed to integration with wearable devices, expansion in automotive industry applications, enhanced cross-cultural adaptation, rising use in human resources, incorporation into virtual assistants. Major trends in the forecast period include advancements in facial recognition technology, multimodal emotion recognition, real-time emotion analysis, ai-driven personalization, emotion recognition in human-computer interaction.
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 February 2024, SynSense, a China-based leader in ultra-low-power neuromorphic processing, acquired iniVation AG, a Switzerland-based neuromorphic vision company, for an undisclosed amount. This acquisition aims to advance the development of low-power, high-speed eye-tracking devices, leveraging both companies' expertise to create real-time tracking solutions for augmented and virtual reality (AR and VR) applications. Building on previous innovations, including their work with the Speck platform, SynSense plans to integrate iniVation's neuromorphic vision technology to enhance accuracy and responsiveness in eye-tracking, thus improving user experience and expanding the possibilities for AR and VR interfaces.
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 2024. 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).
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.
Artificial Intelligence In Emotion Recognition Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on artificial intelligence in emotion recognition market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence in emotion recognition ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in emotion recognition market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
4) By Application; Marketing And Advertising; Surveillance And Monitoring; Medical Emergency; Robotics And eLearning; Other Applications