Emotion Analytics Global Market Report 2024

The emotion analytics market size has grown rapidly in recent years. It will grow from $3.58 billion in 2023 to $4.15 billion in 2024 at a compound annual growth rate (CAGR) of 16%. The growth witnessed in the historical period can be attributed to the heightened adoption of AI technology, an increasing demand for personalization, a growing emphasis on enhanced customer experience, a rising requirement for socially intelligent artificial objects, and an increased utilization in the healthcare sector.

The emotion analytics market size is expected to see rapid growth in the next few years. It will grow to $7.46 billion in 2028 at a compound annual growth rate (CAGR) of 15.8%. The anticipated growth in the forecast period can be attributed to the increased integration with IoT devices, an expansion in human-robot interaction, a broader adoption in human resources, and the growth in edge computing. Significant trends expected in the forecast period encompass emotionally intelligent chatbots and virtual assistants, the incorporation of emotional AI in remote work and collaboration tools, cross-industry collaboration for standardization, and the emergence of emotionally aware marketing campaigns.

The anticipated increase in the adoption of IoT is poised to drive the growth of the emotion analytics market. The Internet of Things (IoT) denotes a network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, actuators, software, and network connectivity. The integration of emotion analytics with IoT devices holds the potential to enhance experiences across various domains, offering greater personalization, adaptability, and intuitiveness, thereby augmenting the overall value and effectiveness of IoT applications. As indicated by data from the GSM Association, a UK-based non-profit industry organization, in January 2022, there was a projected substantial rise in global IoT connections, from 15.1 billion recorded connections in 2021 to an estimated 23.3 billion by 2025. Consequently, the growing adoption of IoT emerges as a pivotal driver propelling the growth of the emotion analytics market.

Key players in the emotion analytics market are actively engaged in the development of innovative technologies, leveraging emotion AI attention metric technologies to enhance customer service with advanced features. Emotion AI, also known as affective AI or affective computing, constitutes a subset of artificial intelligence that analyzes, reacts to, and simulates human emotions. As an illustration, in September 2023, Affectiva, a US-based software company, introduced its cloud-based Emotion AI offering, featuring a novel attention metric. Utilizing Smart Eye's advanced automotive safety-grade eye tracking technology, this metric represents a significant advancement in evaluating viewer attention for marketers, advertisers, entertainment companies, and their market researchers. The comprehensive assessment, analyzing head position and gaze, delivers unparalleled precision and insights.

In February 2023, Uniphore, a US-based conversational automation technology company, completed the acquisition of Hexagone for an undisclosed amount. Through this strategic acquisition, Uniphore's market-leading X Platform receives substantial enhancements in behavioral science, ensuring that client conversations and inquiries are handled with a high degree of empathy and accuracy. Hexagone, a France-based company, specializes in combining voice, visual, and text-based data to provide AI-derived insights.

Major companies operating in the emotion analytics market report are Apple Inc., Google LLC, Microsoft Corporation, Deloitte Touche Tohmatsu Ltd., IBM Corporation, Hexagon AB, Tobii AB, NVISO, Gorilla Technology Group, Cogito Corporation, Kairos AR Inc., Noldus Information Technology, Humanyze, Sensum Co., ClarifAI Inc., Emotiv Inc., Lexalytics Inc., Affectiva Inc., Beyond Verbal, NuraLogix Corp., iMotions A/S, Empath Inc., Audeering GmbH, Nemesysco Ltd., Adoreboard, Emotion Research Lab, Neuromore, Sentiance NV.

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

The emotion analytics market includes revenues earned by entities by facial expression analysis, voice analysis, biometric sensors, and sentiment analysis. 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 emotion analytics market consists of sales of GSR (galvanic skin response) sensors, ECG (electrocardiogram) sensors, and EMG (electromyography) sensors. 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).

Emotion analytics pertains to software utilizing technology, typically powered by artificial intelligence (AI) and machine learning (ML) algorithms, to identify, interpret, and comprehend human emotions. This interdisciplinary field integrates techniques from computer science, psychology, and data analytics to analyze human emotions based on facial expressions, voice tone, physiological signals, and other behavioral cues.

The principal types of emotion analytics encompass text analytics, facial analytics, speech analytics, and video analytics. Text analytics involves the process of analyzing and extracting insights from unstructured text data, including customer feedback, social media posts, and online reviews. Deployment modes include on-premise and cloud, catering to various enterprise sizes such as large enterprises and SMEs. Applications span customer experience management, sales and marketing management, competitive intelligence, public safety, law enforcement, and workforce management, serving diverse end-users including retail, IT and telecom, BFSI, government, defense and security, among others.

The emotion analytics market research report is one of a series of new reports that provides emotion analytics market statistics, including the emotion analytics industry global market size, regional shares, competitors with an emotion analytics market share, detailed emotion analytics market segments, market trends and opportunities, and any further data you may need to thrive in the emotion analytics industry. This emotion analytics 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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