Emotional AI Market Report 2026

The emotional AI market size has grown strongly in recent years. It will grow from $32.64 billion in 2025 to $35.72 billion in 2026 at a compound annual growth rate (CAGR) of 9.4%. The growth in the historic period can be attributed to growing adoption of AI and ml in enterprise solutions, increasing demand for personalized customer engagement, advancements in facial and speech recognition technologies, rising social media and online communication data, need for emotion-driven marketing strategies.

The emotional AI market size is expected to see strong growth in the next few years. It will grow to $51.25 billion in 2030 at a compound annual growth rate (CAGR) of 9.4%. The growth in the forecast period can be attributed to expansion of ai-powered emotional AI platforms, integration with customer experience management tools, adoption in healthcare and retail sectors, increasing enterprise investment in workforce and performance analytics, advancements in multimodal emotion sensing technologies. Major trends in the forecast period include ai-based emotion recognition, facial and voice emotion analysis, gesture and posture recognition, sentiment analysis from text and speech, real-time emotional response tracking.

The increasing demand for a better customer experience is expected to drive the growth of the emotional AI market in the coming years. Customer experience (CX) refers to the overall interaction and perception customers form about a brand or company throughout their entire journey - from initial awareness and consideration to purchase, usage, and post-purchase support. The rising demand for exceptional customer experiences is driven by businesses aiming to differentiate themselves, strengthen brand loyalty, and meet consumer expectations for personalized and seamless interactions. Emotional AI addresses this need by analyzing and responding to customer emotions, allowing companies to deliver more personalized, empathetic, and emotionally attuned interactions that boost satisfaction and loyalty. For example, in February 2023, Verint Systems Inc., a U.S.-based technology company, reported that 77% of businesses observed rising consumer expectations for seamless digital engagement over the past 12 months, an increase of more than 10 percent compared to the previous year’s survey. Therefore, the increasing demand for enhanced customer experience is contributing to the growth of the emotional AI market.

Prominent entities in the emotional AI market are strategically directing their efforts towards developing solutions that personalize the customer experience by catering to emotional needs. In a notable example, in September 2023, AB Tasty, a France-based software development company, introduced EmotionsAI, an AI tool designed to detect users' emotional needs. This innovative technology enables brands to personalize customer experiences by understanding the emotional needs of their customers. It categorizes visitors into ten segments based on their interactions with a business website. These features collectively empower brands to comprehend and address the emotional needs of their visitors, thereby enhancing customer experiences and potentially increasing conversion rates and revenue.

In February 2023, Uniphore, a US-based automation technology company, completed the acquisition of Hexagone for an undisclosed amount. This strategic move positions Uniphore to potentially offer more comprehensive solutions, integrating emotion recognition and analysis into their conversational service automation platform. Hexagone, a France-based emotional AI company, specializes in leveraging voice, visual, and text-based data to provide AI-derived insights.

Major companies operating in the emotional AI market are Cogito Corporation; Tobii Technology AB; Gorilla Technology Group; Noldus Information Technology; Entropic Technologies; Affectiva Inc.; Realeyes OÜ; Lexalytics Inc.; Beyond Verbal Communication Ltd.; iMotions A/S; Sentiance NV; NuraLogix Corporation; NVISO Inc.; Kairos AR Inc.; Sensum; MetaSoul Inc.; Sightcorp B.V.; Valence AI; Captemo; Smart Eye AB.

North America was the largest region in the emotional AI market in 2025. The regions covered in the emotional AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the emotional AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have impacted the Emotional AI market by affecting the availability and cost of specialized AI software, biometric sensors, and cloud computing resources required for facial, speech, and gesture-based emotion recognition. The segments most affected include Facial Recognition, Speech And Voice Recognition, and Gesture And Posture Recognition, particularly in regions such as North America, Europe, and Asia-Pacific where reliance on imported AI solutions is high. While tariffs have led to increased costs and slowed adoption for some organizations, they have also incentivized local development of AI-driven emotional analytics, encouraged innovation in real-time emotion detection, and promoted the adoption of cloud-based deployment models to reduce dependency on imports.

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

Emotional AI represents a subset of artificial intelligence designed to analyze, respond to, and simulate human emotions. Employing various techniques, it senses, learns about, and interacts with human emotional experiences through methods such as sentiment analysis, voice emotion AI, facial movement analysis, and biometric sensing.

The primary components of emotional AI are software and services. Software comprises a set of instructions or programs enabling a computer system to execute specific tasks, incorporating tools such as facial recognition, speech and voice recognition, and gesture and posture recognition. This is particularly relevant in both large enterprises and small and medium-sized enterprises. Emotional AI finds application across various sectors, including banking, financial services and insurance (BFSI), healthcare, IT and telecommunication, retail and e-commerce, government, media and entertainment, automotive, and other diverse domains.

The emotional AI market includes revenues earned by entities by providing services such as virtual assistants with emotional intelligence, sentiment analysis, emotionally aware content creation, entertainment, and gaming. The market value includes the value of related goods sold by the service provider or included within the service offering. The emotional AI market consists of sales of sentiment analysis tools, emotionally intelligent chatbots, biometric wearables and emotionally responsive robots. 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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