Emotional AI Market is projected to grow at a CAGR of 13.19% to reach US$70.033 billion in 2029

emotional AI market

The emotional AI market is expected to grow at a CAGR of 13.19% with a market valuation of US$29.412 billion in 2022 and is expected to reach a market value of US$70.033 billion by 2029.

Demand for personalized experiences, improved customer engagement, and rise in IoT and wearables are key drivers propelling the growth of the emotional AI market.

As per the report, the emotional AI market is expected to grow significantly.

Affective computing, another name for emotional artificial intelligence, transforms human-computer interaction by allowing computers to perceive, understand, and react to human emotions. Emotional AI improves a range of applications, such as virtual assistants, customer service, healthcare, and entertainment, by leveraging sophisticated algorithms and data analytics. Emotional AI promotes user engagement, makes better decisions, and offers tailored experiences by studying physiological signs, speech tones, and facial expressions. But issues like privacy worries, moral dilemmas, and the requirement for open algorithms continue to exist. Notwithstanding these obstacles, the market for emotionally intelligent technology is still growing quickly as more and more sectors realize how revolutionary these tools may be.

The market for emotional AI is expanding quickly because of developments in machine learning and artificial intelligence. Affective computing, another name for emotional artificial intelligence, is the study of identifying, analyzing, and reacting to human emotions. Applications are used in many different industries, including customer service, retail, healthcare, and automotive. Personalized experiences, better human-computer interactions, and superior decision-making processes are all made possible by emotional AI. The need for mental health monitoring tools, sentiment analysis in customer feedback, and compassionate virtual assistants are some of the major motivators. But issues like data security requirements, ethical dilemmas, and privacy issues continue to be important influences on the emotional AI sector. For instance, The “GENIUS” project, initiated by Antolin in July 2023, sought to create Artificial Intelligence capable of identifying moods and emotional and cognitive states through real-time sensing and correlation with physiological characteristics.

Based on deployment, The emotional AI market is anticipated to grow in both the on-premises and cloud deployment sectors. For businesses in sectors like healthcare and finance that have sensitive data issues or strict regulatory requirements, on-premises deployment gives them more control over their data. As businesses emphasize data security and privacy and use emotional AI for applications like sentiment analysis, customer feedback analysis, and tailored services, this market is expected to rise steadily.On the other hand, cloud deployment appeals to a wider range of sectors due to its scalability, affordability, and accessibility. Real-time analysis, interaction with current cloud-based systems, and simpler deployment across geographically dispersed teams are all made possible by cloud-based emotional AI solutions. The desire for real-time customer insights, personalized experiences, and content recommendations is likely to propel significant growth in this area, particularly in industries like retail, marketing, and entertainment. However, because of the growing demand for scalable AI solutions, the proliferation of IoT devices producing massive volumes of data, and the increasing use of Software-as-a-Service (SaaS) models, the cloud deployment industry is expected to grow at a faster rate. The adoption of cloud-based emotional AI solutions will also be accelerated by developments in cloud infrastructure, particularly in industries that need real-time processing and decision-making. These developments include edge computing capabilities.

Medical emergencies and healthcare environments are finding great use in emotion detection technology. Efficient treatment delivery in emergency scenarios, such cardiac arrests or trauma, may depend on prompt and precise patient emotional assessment. By integrating emotion detection technologies into wearables or monitoring systems, medical professionals can be informed in real time about a patient’s emotional state and can be alerted to indicators of discomfort or worry. Emotion detection technology is transforming patient care in the medical field by improving patient-provider communication. It supports the evaluation of patient satisfaction, comprehension of affective reactions to therapy, and detection of indicators of mental health conditions like anxiety or depression. Through the analysis of physiological reactions, facial expressions, and voice signals, this technology can offer insightful diagnostic data that supports early intervention. Furthermore, emotion detection technology allows medical personnel to assess a patient’s well-being in telemedicine and remote patient monitoring contexts beyond their physical symptoms, even in cases where the patient is not present. This has the potential to improve patient outcomes and general satisfaction with healthcare services by facilitating more effective and sympathetic remote consultations. It is anticipated that as technology develops, its application in healthcare and medical crises will grow, improving patient outcomes and care.

The market for emotional AI is expanding rapidly in the Asia-Pacific area because to reasons like growing internet penetration, fast digitalization, and a growing population of tech-savvy people. Demand for emotional AI solutions is soaring as companies in a wide range of industries realize how important it is to comprehend and address client emotions. The region’s diversified consumer base, which presents a wide range of cultural nuances and linguistic complexity and necessitates customized emotional AI solutions for effective engagement, is one of the main drivers of growth. Emotional AI is being used by the retail, e-commerce, and customer service industries to customize encounters, improve consumer pleasure, and foster loyalty.

Furthermore, emotional AI is being used in the Asia-Pacific healthcare industry for tasks including patient engagement, mental health monitoring, and therapy support Emotional AI solutions provide scalable and easily available mental health support services, particularly in light of the region’s growing mental health issues. Emotional AI is also becoming more widely used in industries like finance, transportation, and education because to government programs that support innovation and digital transformation. This covers both the funding of R&D and the establishment of helpful regulatory frameworks. All things considered, the Asia-Pacific emotional AI market is expected to grow significantly due to a combination of new technology, changing customer demands, and proactive business tactics that target the provision of emotionally intelligent experiences.

The emotional AI market is supported by key players such as Entropik Tech, Google Inc., IBM Corporation, Amazon Inc., Elokence, and more.

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This analytics report segments the emotional AI market on the following basis:

Market 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