Emotional AI Market Size, Share, Opportunities, And Trends By Deployment (Cloud, On-premise), By Applications (Automotive, Consumer Electronics, Customer Services, Gaming, Healthcare, Others), And By Geography - Forecasts From 2024 To 2029

The emotional AI market is projected to grow at a CAGR of 13.19% to reach US$70.033 billion in 2029 from US$29.412 billion in 2022.

Emotional AI refers to the use of software applications and human intelligence to analyze and interpret the emotions of the user. It decodes facial movements, analyzes voice modulation, and detects body movements to offer insight into the emotions of the user. The technological advancements in artificial intelligence technology software and features have resulted in the adoption of this feature in the AI market. Emotional AI is very helpful for companies to understand their users and their preferences. The feature of receiving emotional feedback can help companies to work on improving their products to satisfy the requirements of their users. The rising demand for emotional AI across different sectors shall result in the expansion of the emotional AI market.

Market Drivers

• Increasing investments in Chatbots has propelled the market growth.

Major companies across the planet are investing in developing successful AI-assisted conversational chatbots to generate higher revenue and profit margin. For instance, Apple has been adding and enhancing the features of its voice assistance chatbot Siri to offer a better experience to its customers. The growing interest in consumers for innovative chatbots is encouraging companies to invest in and research new chatbot products. The adoption of emotional AI into AI-assisted chatbots can improve the overall functioning and performance of the chatbots by gaining better knowledge about the emotions experienced by their users. Therefore, the utilization of emotional AI in designing chatbots shall be a key factor in enforcing developments in the emotional AI market.

• Adoption of emotional AIs in educational institutions has positively impacted market growth.

The adoption of emotional artificial intelligence in the activities of schools and classrooms provides an opportunity of understanding the class environment and the emotional well-being of the children in the classroom. For instance, Find Solutions AI has collaborated with schools in Hong Kong to interpret the negative and positive changes in the emotions of school children by analyzing their facial muscle movements. This can help the teachers and school check whether the students are able to concentrate in class and understand the content of the teachings. Therefore, considering the key factors driving demand for emotional AI software, it can be anticipated that the emotional AI market will experience market expansion over the forecast period.

North America is expected to grow at a significant rate

North America is projected to hold a considerable share in the emotional AI market and is expected to grow as a significant rate during the forecast period as leading technology companies in North America are actively investing to innovate new developments in artificial intelligence software in all fields including emotional AI. Companies like Google, IBM, Microsoft, and Apple are constantly striving to improve their product portfolio and offer better services to their customers. To enhance the customer experience, they have been expanding artificial intelligence software into conversational chatbots and emotion detection fields. These developments are being applied in customer service, conversational chatbots, and gaming sectors. Therefore, considering the high amount of investment into emotional AI and the demand for AI across a few sectors in North America, it can be anticipated that the North American AI market will demonstrate significant expansion over the forecast period.

Market Challenges

• The complexity and individual variations of some human emotions could restrain the advancement of the emotional AI market.

There is a high risk of biased and inaccurate emotional reading by emotional AI software. Emotional AI software analyses the body language, facial expressions, and words of the user to get an understanding of the emotional state of the user. Apart from this, emotional artificial intelligence applications can only mimic emotions and do not possess the capability of producing emotions on their own. The possession of emotions by humans helps them develop a better understanding of the emotions felt by other humans. As a result of this, the emotional AI might sometimes detect incorrect emotions and are generally not able to interact with its customers using its own emotions. With further research and advancements in AI technology, it might be possible to overcome these limitations to a large extent, but until such developments, the emotional AI market might face resistance and skepticism from a fraction of its customer base.

Key Developments:

• In July 2023: Antolin launched “GENIUS” project which aimed to develop the Artificial Intelligence that would determine emotional and cognitive states and moods by corelating them to biometric parameters via real-time sensing.
• In January 2023, Cogito, a conversational and emotional AI targeting the tutoring field introduced new features to improve its emotional AI functions by including a transcription feature in its emotional AI software.
• In July 2022, Lightbulb Ai, an emotional AI startup in India secured an additional investment of US$1.5 million to expand its datasets and strengthen its machine learning algorithms. This startup has four clients including a Columbian company and is planning on using the investment to expand its operations to cater to the international market.
• In June 2021, Smart Eye, a Swedish AI technology company, purchased Affectiva, an emotional AI company that has programs to detect anger from voice notes in less than 1.3 seconds.

Emotional AI Market Scope:

Segmentation:

• By Deployment
  • Cloud
  • On-premise
• By Applications
  • Automotive
  • Consumer Electronics
  • Customer Services 
  • Gaming
  • Healthcare
  • Others
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Singapore
    • Indonesia
    • Others