The global affective computing market was valued at USD 101.93 billion in 2023. The global market is foreseen to reach USD 140.05 billion in 2024 and USD 1,779 billion by 2032, growing at a CAGR of 37.4% during the forecast period.
Affective computing is the study and development of systems and devices capable of recognizing, interpreting, processing, and simulating human effects. It is an interdisciplinary field that encompasses computer science, psychology, and cognitive science.
Affective computing combines cognitive science, psychology, and computing to predict the emotional state of human beings and provides an adequate response to achieve a favorable outcome. This can help businesses and the e-commerce industry improve the customer shopping experience and effectively sell products. It can also be used in online and kiosk advertising to provide favorable advertising based on the end-user's emotional state. IT includes using the emotion analysis engine, artificial intelligence, big data, and sensors such as a camera and a front screen to collect and analyze customer emotions. It also includes voice and facial recognition software, gesture recognition, and neural analysis.
For people with speech disorders and people with emotional disorders, Gestele, a prototype, has been developed to increase the emotions, gestures, or any other form of communication of the people concerned. Affective computing is the main option for personalization, such as adjusting light or room temperature based on moods, etc. The increasing use of robots provides an additional incentive for the implementation of this technology. Recent advances in robotics are driving a huge increase in demand for robots that are artificially intelligent to behave politely and socially.
With the advent of Industry 4.0, technological advancements such as seamless computing, improved human-machine interfaces, and advanced network technologies are expected to improve the performance of the effective computing system. Affective computing should have important implications for the future of any business, with a widespread impact on its ergonomics, human factors, project management, and organizational change. This factor has driven the adoption of emotional affective computing solutions in various vertical areas of the world.
Healthcare must be one of the main beneficiaries of effective computing technology with various advanced and commercialized applications. Some of the early developments in affective computing aim to help healthcare professionals, primarily with technology that should help them understand patients with mental disabilities. Artificial intelligence (AI) in medicine has increased, and significant efforts are being made to increase contribution to the field. Companies like DeepMind, Babylon Health, etc., have accelerated their efforts to achieve these goals.
Additionally, several companies are working on advanced patient monitoring devices that use facial coding techniques to monitor patients continuously. However, compared to other end users, post-approval procedures in the healthcare industry, products take time to reach the retail market. In the current market scenario, Empatica is one of the few companies offering efficient portable computing devices for healthcare applications. The company's devices are approved by the United States Food and Drug Administration (FDA). The company has geographically limited operations to serve clients in the United States and Europe.
The cost of manufacturing effective computer systems is higher, and the tangible return on investment is low. This factor is a major obstacle to the growth of the affective computing market, as most enabling technologies, such as laptop computing and gesture recognition, carry significant development costs. Therefore, companies that lack financial means do not opt for the platform, even if they are interested in effective computing to increase their productivity.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
37.4% |
Segments Covered |
By Technology, Component, Software, Hardware, Vertical, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
Google (United States), Microsoft (United States), IBM (United States), Apple (United States), Affective (United States), Qualcomm (United States), Elliptic Labs (Norway), Eyesight Technologies (Israel), Sony Depthsensing Solutions (Belgium), Intel (United States), Pyreos (United Kingdom), Cognitec Systems (Germany), Beyond Verbal (Israel), GestureTek (Canada), SightCorp (Noord -Holland), CrowdEmotion (United Kingdom), Kairos (United States), nViso (Switzerland), PointGrab (United States), Eyeris (United States), Numenta (United States) and Others. |
North America has several leading market players that provide advanced solutions to all vertical industrial sectors. In addition, the increasing investments, partnerships, and significant R&D activities by leading companies in the USA are contributing to the extensive adoption of affective computing in North America.
The major Providers covered by the Global Affective Computing Market Report include Google (United States), Microsoft (United States), IBM (United States), Apple (United States), Affective (United States), Qualcomm (United States), Elliptic Labs (Norway), Eyesight Technologies (Israel), Sony Depthsensing Solutions (Belgium), Intel (United States), Pyreos (United Kingdom), Cognitec Systems (Germany), Beyond Verbal (Israel), GestureTek (Canada), SightCorp (Noord -Holland), CrowdEmotion (United Kingdom), Kairos (United States), nViso (Switzerland), PointGrab (United States), Eyeris (United States), Numenta (United States), and others.
In January 2019, Affectiva partnered with Aptiv PLC to enable a next-generation vehicle experience. The partnership will offer innovative and scalable software derived from deep learning architectures to improve the understanding of advanced security solutions and reinvent the future of the cockpit experience.
In September 2018, Affectiva introduced Mobile Lab with automotive AI technology. The characteristics of mobile laboratory cars, part of the world's first multimodal cabin detection solution, called Affectiva Automotive AI, show how AI can make driving safer in semi-autonomous and fully autonomous vehicles.
In May 2018, Microsoft signed an agreement to acquire XOXCO, a company with AI development capabilities and conversational robots.
By Technology
By Component
By Software
By Hardware
By Verticals
By Region
Frequently Asked Questions
Affective computing technology finds applications across various sectors including healthcare (for mental health monitoring and patient care), automotive (for driver monitoring and safety), retail (for personalized shopping experiences), and gaming (for enhanced user engagement), among others.
Affective computing facilitates the development of mental health monitoring systems that can analyze facial expressions, voice tones, and physiological signals to assess an individual's emotional state. This technology enables early detection of mental health issues and personalized interventions, thereby improving mental health services globally.
Artificial intelligence algorithms play a crucial role in affective computing by enabling machines to recognize and interpret human emotions from various data sources such as facial expressions, voice tones, and physiological signals. AI also helps in developing personalized and adaptive systems that can respond to users' emotional states dynamically.
Future prospects include the integration of affective computing with wearable devices and Internet of Things (IoT) technologies, the development of emotion-aware artificial intelligence systems, and the use of affective computing in virtual reality and augmented reality applications. Additionally, advancements in neuroimaging techniques and brain-computer interfaces are expected to further expand the capabilities and applications of affective computing globally.
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