Emotional AI Market - Strategic Insights and Forecasts (2026-2031)

The Global Emotional AI Market is forecast to grow at a CAGR of 13.0%, reaching USD 12.7 billion in 2031 from USD 6.9 billion in 2026.

Emotional AI refers to advanced AI technology designed to recognize human emotions by interpreting facial expressions, speech patterns, and vocal intonations, enabling more natural and context-aware interactions. These systems can identify emotional states from text, audio, and video inputs. As the artificial intelligence industry continues to evolve, emotional AI is expected to become increasingly important in automating operations across sectors such as healthcare, automotive, gaming, entertainment, and customer engagement.

Within healthcare, emotional AI serves as a valuable decision-support tool for identifying conditions such as anxiety, depression, bipolar disorder, and other mental health concerns. It can also assist in recognizing autism spectrum disorder, a neurodevelopmental condition that affects brain development and behavior. According to the World Health Organization, approximately 1 in 100 children worldwide is affected by autism, with signs often appearing during early childhood even though diagnosis may occur later. Depression is another growing global health concern. The WHO estimates that nearly 5% of the world's adult population experiences depression, affecting around 4% of adult men and 6% of adult women. Among individuals aged 60 years and older, the prevalence of depression increases to approximately 5.7%.

 Emotional AI Market Growth Drivers:

• Growing demand for autonomous vehicles

Emotional AI is sure to play an important role in the automotive industry. In the industry, it can be embedded in completely autonomous vehicles to achieve the complete safety and security of the driver and passenger. In autonomous vehicles, emotional AI can detect the emotional stress and discomfort of the driver and passenger and can take over the operation on its own.

The increasing demand for autonomous vehicles in the global market is sure to propel the global demand for emotional AI. Tesla, the US-based automotive manufacturer, is one of the global leaders in offering autonomous vehicles to the global population. According to the company, the demand for their Model 3 and Model Y, one of the best-performing autonomous vehicles, has increased in the past few years. According to the annual report published by the company, the total delivery of its Model 3 and Y vehicles was about 1.247 million in 2022, which increased to about 1.739 million in 2023

 Emotional AI Market Geographical Outlook:

• The United States in North America is expected to hold a significant share of the Emotional AI market.

The United States market for emotional AI is expected to grow significantly in the projected period, owing to the strong adoption of artificial intelligence (AI) among various end-users such as healthcare, media, retail, and finance, among others. This technology can also be used for content personalization, employee well-being, and customer engagement.

Moreover, the rising trend for automation, coupled with the high penetration of companies in the country, is expected to have a positive impact on market growth. Additionally, rising product launches in the emotional AI market in the United States are one of the major reasons for market growth in the projected period

According to Goldman Sachs, the investment in artificial intelligence is expected to increase in the projected period, owing to the increasing attention on generative AI. Additionally, as per the company estimates, AI investment is expected to be at its peak and reach 2.5% to 4% of the GDP, and for the United States, it is expected to be at 1.5% to 2%, due to the presence of large players like Microsoft and Google, among others.

Moreover, Goldman Sachs, one of the leading investment banking, investment management, and securities firms, forecasted that the world’s AI investment will be US$132.12 billion in 2024, with the United States and China being the largest contributors. It is expected that the United States will invest US$68.14 billion in artificial intelligence in 2024, and China is expected to invest US$24.66 billion in the same year.

Emotional AI Market Company Profiles:

IBM Corporation is one of the leading providers of artificial intelligence (AI), hybrid cloud, and consulting expertise. The company has served clients in more than 175 countries, in streamlining data and business processes, and gaining a competitive edge in their respective industries. IBM Corporation aims to innovate, move faster, and invest strategically for future businesses. The company has three main business strategies: first, the corporate level strategy, which includes strategies and decisions made by an organization’s top-level management. Secondly, a functional-level strategy is run on a smaller scale, and these strategies focus on specific departments and areas of business. Lastly, business-level strategies include making plans about how a company can have a competitive advantage in a given market. The company has also started focusing on open hybrid cloud platforms and artificial intelligence (AI). This decision is driven by the company’s pursuit of the US$1 trillion hybrid cloud opportunity. The company has a team of more the 20,000 AI Experts, working with global clients and co-partners to co-create next in AI. 

Amazon Inc. is guided by four principles: competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon’s service portfolio consists of devices and services, Amazon Pay, delivery and logistics, Amazon Web Services (AWS), and entertainment, among others.

Entropic Tech is one of the Human Insight AI companies that specializes in consumer and user research. The company offers standalone technical solutions through API/SDK integrations. The technology stack includes Behavior AI, Emotion AI, and Generative AI.

Emotional AI Market Key Developments:

• May 2026: iMotions launched the Affectiva Emotion SDK for Android, enabling developers to deploy privacy-first, on-device facial expression and emotion recognition capabilities on Android devices without requiring cloud-based processing.

Emotional AI Market Scope