Emotion Analytics Market Report 2026

The emotion analytics market size has grown rapidly in recent years. It will grow from $4.77 billion in 2025 to $5.52 billion in 2026 at a compound annual growth rate (CAGR) of 15.6%. The growth in the historic period can be attributed to rising adoption of AI and ml in analytics, growing need for personalized customer experiences, increase in social media data generation, demand for emotion-based marketing insights, development of advanced facial and speech recognition technologies.

The emotion analytics market size is expected to see rapid growth in the next few years. It will grow to $9.86 billion in 2030 at a compound annual growth rate (CAGR) of 15.6%. The growth in the forecast period can be attributed to expansion of cloud-based emotion analytics platforms, integration with crm and marketing automation tools, adoption in public safety and defense sectors, increasing enterprise investment in workforce management analytics, advancements in multimodal emotion detection algorithms. Major trends in the forecast period include ai-driven emotion recognition, real-time facial and voice analysis, behavioral pattern tracking, emotion detection from text and social media, sentiment analytics for customer insights.

The growing adoption of IoT is expected to drive the growth of the emotion analytics market in the coming years. The Internet of Things (IoT) refers to a network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, actuators, software, and connectivity. IoT adoption is increasing due to its ability to enable smarter connectivity, improve operational efficiency, and provide real-time data insights across industries such as healthcare, manufacturing, and transportation. Emotion analytics, which captures and interprets human emotional responses through sensors and connected devices, enhances IoT ecosystems by enabling personalized experiences, optimizing smart environments, improving human-machine interactions, and enabling real-time adaptive responses that reflect user emotions and behaviors. For example, in February 2023, BuildOps Inc., a U.S.-based software-as-a-service (SaaS) company, reported that the number of IoT-connected devices increased by 28% from 2022 to 2023 and was projected to reach 16 billion by the end of 2023. Therefore, the growing adoption of IoT is contributing to the expansion 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 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 2025. 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, South East Asia, 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, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have influenced the Emotion Analytics market by affecting the cost and availability of specialized software tools, AI models, and cloud infrastructure critical for facial, speech, text, and video emotion analysis. The impact is most significant for segments such as Facial Analytics, Speech Analytics, and Video Analytics, particularly in regions like North America, Europe, and Asia-Pacific that rely heavily on imported solutions. While tariffs have raised operational costs and slowed adoption for some enterprises, they have also encouraged local development of AI-driven analytics tools, spurred innovation in real-time emotion detection, and promoted cloud-based deployment models that reduce reliance on imported software.

The emotion analytics market research report is one of a series of new reports that provides emotion analytics market statistics, including emotion analytics industry global market size, regional shares, competitors with a 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.

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 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).

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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