Global Affective Computing Market - 2023-2030

Overview

Global Affective Computing Market reached US$ 50.9 Billion in 2022 and is expected to reach US$ 592.9 Billion by 2030, growing with a CAGR of 36.2% during the forecast period 2023-2030.

Technological advancements in AI and ML technologies in deep learning significantly enhanced the capabilities of affective computing systems. Advanced algorithms now analyze and interpret complex emotional cues with greater accuracy. The rising demand for natural and intuitive human-machine interaction is driving the adoption of affective computing. Businesses and industries are leveraging emotional intelligence in machines to enhance user experiences and engagement.

The proliferation of wearable devices and the expansion of the Internet of Things provide opportunities for integrating affective computing. Wearables equipped with sensors for emotion recognition and IoT devices with emotion-aware features contribute to market growth. The widespread use of virtual assistants and chatbots in various applications, from customer service to virtual companions, is fueling the demand for effective computing. Emotionally intelligent virtual assistants enhance user interactions and satisfaction.

North America is a dominating region in the global affective computing market due to the growing use of affective computing in education for personalized learning. The region's emphasis on innovation and research-driven development contributes to the advancement of technologies related to emotion recognition, sentiment analysis and affective computing applications. Industries such as healthcare, retail and entertainment in North America have shown early interest and adoption of affective computing applications.

Dynamics

Growing Demand for Virtual Assistants

Affective computing allows virtual assistants to personalize their responses based on users' emotional expressions. The level of personalization contributes to a more tailored and engaging user experience. Affective computing technologies enable virtual assistants to become emotionally intelligent conversational agents. It recognize and respond to users' emotions, creating a more natural and empathetic interaction. Virtual assistants, powered by affective computing, adapt their interfaces and responses based on users' emotional states. The adaptability contributes to a dynamic and user-centric experience.

In customer service applications, virtual assistants equipped with affective computing capabilities better understand and address customers' emotions and sentiments. The is particularly valuable for resolving issues and providing support. Affective computing facilitates the recognition of emotions in users' voices. Virtual assistants, whether in smartphones, smart speakers or other devices use this capability to tailor responses and interactions based on the detected emotional tone.

Technological Advancement

Ongoing advancements in machine learning and artificial intelligence contribute to the development of more sophisticated algorithms for emotion recognition. Improved algorithms enhance the accuracy and efficiency of affective computing systems. Progress in sensor technologies, including facial recognition cameras, voice recognition microphones and physiological sensors, contributes to better data capture and analysis. Enhanced sensing technologies enable more precise measurement of emotional cues.

The evolution of deep learning and neural networks has led to breakthroughs in pattern recognition, enabling affective computing systems to discern intricate patterns in facial expressions, voice Tons and other emotional signals. Technological advancements enable the integration of multiple modalities for emotion recognition, such as combining facial expressions with voice analysis and physiological signals. The multi-modal approach improves the comprehensiveness of emotional analysis.

Low Accuracy and Reliability

Affective computing systems heavily rely on algorithms designed to recognize and interpret human emotions accurately. Low accuracy in emotion recognition lead to misinterpretation of users' emotional states, affecting the reliability of the technology. The interpretation of emotional cues is subjective and context-dependent. Affective computing algorithms struggle to consistently interpret diverse emotional expressions across different individuals and situations, leading to inconsistencies in results.

Human emotions are complex and manifest in a wide range of expressions, making it challenging to develop algorithms that cover the full spectrum of emotional states accurately. Subtle nuances and variations in expressions add to the complexity. Emotions are expressed differently across cultures and affective computing systems do not always account for these cultural variations. The results in misinterpretations of emotional cues, especially in diverse and global user populations.

Segment Analysis

The global affective computing market is segmented based on technology, component, enterprise size, end-user and region.

Growing Adoption of Touch-based Technology in Affective Computing Market

Based on the technology, the affective computing market is segmented into touch-based and touchless. Touch-based technology is a more natural form of human-computer interaction compared to touchless technology. Touch-based sensors and devices capture subtle nuances in touch interactions, providing a means to recognize and interpret emotional cues. The pressure, duration and patterns of touch convey emotional information, contributing to affective computing applications.

The widespread adoption of smartphones, tablets and wearables has driven the integration of touch-based interfaces. The devices often incorporate touch sensors to facilitate user interactions. The use of affective computing in these devices enhances user experiences, especially in applications related to health and wellness.

Haptic feedback, a component of touch-based technology, allows devices to provide tactile sensations in response to user interactions. The feature enhances emotional engagement by creating a sense of touch, adding an extra dimension to the user experience. Growing product launches in the automotive industry with touch-based affective computing help to boost segment growth over the forecast period.

For instance, on August 15, 2022, Mahindra & Mahindra, India's leading SUV manufacturer launched its new state-of-the-art INGLO EV platform and five e-SUVs under two EV brands showcasing its vision for the future of electric mobility. The brake-by-wire technology is completely decoupled from the hydraulic system; this allows multiple brake modes for pedal feel and recuperation. Its behind the wheel enjoy the Intelligent Drive Modes that govern various aspects including modulation of powertrain response, suspension response, brake feel, electronic stability control intervention and many more features at the touch of a button

Geographical Penetration

North America is a Dominating Affective Computing Market Due To The Rapid Growth In Research

North America accounted for the largest market share in the global affective computing market due to the growing research and innovation in the region. North America is renowned for leading advances in technical innovation. A robust ecosystem of startups, research centers and technology firms exist in the area, all of which actively support the creation and application of efficient computer technologies. Affective computing is an area of study that is heavily researched by renowned research institutions and universities in North America.

Growing technological advancements in the region help to boost the regional market growth. For instance, on August 03, 2022, Gartner identified four emerging technologies expected to have a transformational impact on digital advertising. The four technologies are artificial intelligence (AI) for marketing, emotion AI, influence engineering and generative AI. A technology or application's evolutionary trajectory might be seen through the Gartner Hype Cycle, which offers valuable insights for managing the implementation of a particular business objective.

Competitive Landscape

The major global players in the market include Amazon Web Services Inc., Affectiva Inc., Nuance Communications Inc., Nemesysco Ltd., Eyesight Technologies Ltd., Element Human Ltd., Emotibot Technologies Limited, Kairos AR, Inc., Realeyes Data Services Ltd. and AUDEERING GmbH.

COVID-19 Impact Analysis

The pandemic accelerated the pace of digital transformation across industries as organizations sought to adapt to remote work, virtual communication and changes in consumer behavior. Affective Computing technologies, which focus on understanding and responding to human emotions have found increased relevance in virtual communication tools and customer engagement platforms.

Affective Computing plays a role in healthcare applications, including mental health monitoring and virtual care. With the increased demand for remote healthcare solutions during the pandemic, there could be a growing interest in technologies that facilitate emotional understanding and well-being monitoring.

Remote work and the challenges associated with it, including isolation and stress, prompted organizations to focus on employee well-being. Affective Computing tools that gauge and respond to employee emotions have gained attention in the context of remote workforce management. With changes in consumer behavior and an increased reliance on online services, businesses have looked to affective computing solutions to enhance virtual customer interactions. Understanding customer emotions and preferences becomes crucial in a digital-first environment.

Russia-Ukraine War Impact Analysis

Conflict disrupts supply chains, it impacts the availability of components and materials needed for the production of technology products, including affective computing solutions. Geopolitical tensions contribute to economic uncertainties, affecting business and consumer confidence. The influences investment decisions and purchasing behaviors, potentially impacting the adoption of affective computing technologies.

Governments introduce new regulations or change existing ones in response to geopolitical events. The regulatory changes affect the operations and market conditions for technology companies, including those in the affective computing sector. Geopolitical events influence global market sentiment. Investors respond to uncertainties by adjusting their portfolios, which have broader implications for technology stocks and investments.

The affective computing market, like technology markets, often involves international collaboration and partnerships. Geopolitical tensions affect such collaborations, leading to changes in research and development initiatives. Uncertain geopolitical situations influence consumer behavior. Changes in consumer confidence and spending patterns impact the market demand for affective computing applications, especially in sectors such as retail, entertainment and customer service.

By Technology

• Touch-based
• Touchless

By Component

• Software
  • Speech Recognition
  • Gesture Recognition
  • Facial Feature Extraction
  • Analytics Software
  • Enterprise Software
• Hardware
  • Sensors
  • Cameras
  • Storage Devices and Processors
  • Others

By Enterprise Size

• Small and Medium Enterprises
• Large Enterprises

By End-User

• Academia and Research
• Media and Entertainment
• Government and Defense
• Healthcare and Life Sciences
• IT and Telecom
• Retail and E-Commerce
• Automotive
• BFSI
• Others

By Region

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Rest of Europe
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
• Middle East and Africa

Key Developments

• On May 05, 2021, Affectiva acquired Smart Eye, the global leader in eye tracking and driver monitoring systems. By merging their highly skilled teams and industry-leading technologies they bring to market unmatched AI solutions for the automotive industry and media analytics.
• On February 23, 2021, IBM announced the deployment of "PROPEL-i," a customized end-to-end cloud-native logistics platform created in partnership with IBM Global Business Services, by Safe Xpress, the top supply chain and logistics firm in India.
• On May 25, 2023, to help clients select investments, JPMorgan created a ChatGPT-like software program that uses a cutting-edge kind of artificial intelligence. The corporation applied to trademark a product named IndexGPT, as per a document from the bank located in New York.

Why Purchase the Report?

• To visualize the global affective computing market segmentation based on technology, component, enterprise size, end-user and region, as well as understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel data sheet with numerous data points of affective computing market-level with all segments.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping available as excel consisting of key products of all the major players.

The global affective computing market report would provide approximately 69 tables, 70 figures and 211 Pages.

Target Audience 2023

• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies