Affective Computing – also called as emotion AI – is the study and development of devices and systems that can easily recognize, interpret, process, and stimulate human affects. It is a continuously accelerating multidisciplinary field that is assessing how technology can understand human affect, how human and technology interactions can be impacted by affects, and how systems can be designed to leverage affect to boost capabilities.
For instance, by using physiological measures such as heart rate variations, skin conductance, and face recognition, a computer can effectively recognize key emotional states and associated changes in the user. Affective computing mainly aims to provide effective and natural interaction between human and computers, wherein the main objective is to enable computers to understand the emotional states of the users to deliver personalized responses.
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With a shift of human-computer interaction and interaction design from designed work-related systems to dealing with applications that are leisure-oriented such as games, art, and creativity, affective computing has gained massive importance to understand what is included in an experience and how to deal with emotions of users. Increasing need to understand prospective or target customers and growing incorporation of affective computing to enhance safety features in vehicles has resulted in growing demand for affective computing. According to the latest analysis by Emergen Research, the global affective computing market size is expected to reach USD 284.73 billion and register a robust revenue CAGR of 32.5% during the forecast period.
The competitive landscape of the report has been formulated by considering all the vital parameters such as company profiling, market share, recent developments and advancements, gross margins, product portfolio, revenue generation, financial standing, market position, and expansion plans. The report also discusses in detail the recent mergers and acquisitions, joint ventures, collaborations, product launches and brand promotions, agreements, corporate and government deals, and partnerships, among others. The report also sheds light on the recent technological developments and product advancements in the Affective Computing market.
Furthermore, the report provides details about the new players entering the market, and entry-level barriers and offers strategic recommendations to overcome those barriers to gain a substantial industry presence.
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World’s Largest Companies in the Affective Computing Market: by Revenue
Apple, Inc.
Microsoft Corporation
IBM
Qualcomm
Atos
Palantir Technologies
Affectiva
CrowdEmotion
Beyond Verbal
Kairos AR
Key Highlights from the Report
In January 2021, Uniphore made an announcement about the acquisition of Emotion Research Lab, which is a firm engaged in video Artificial Intelligence and affective computing. Emotion Research Lab deploys Artificial Intelligence and Machine Learning to detect real-time engagement and emotion levels through video interactions.
Speech recognition software helps in analyzing speech features like intonation, vocal pitch, and tone, along with the words that denote a particular sentiment or emotional state. Speech recognition software is particularly beneficial in call centers to detect a caller’s angry voice tone, and transfer such calls to a human operator instead of making the caller interact with an automated system, which might increase their frustration level.
Contactless affective computing technology deploys radio waves to identify a person’s feelings and recognize one emotional states, including sadness, pleasure, anger, and joy. Contactless affective computing technology uses rebounding radio waves to measure an individuals’ heart rate and breathing pattern without even establishing any contact with their body.
Regional Analysis:
The report further examines the market in the key regions of the world with regard to production and consumption patterns, import/export, supply and demand ratio, revenue generation, market share and size, and presence of prominent players in the regions. The report also covers the expansion plans undertaken by companies in the regions under the regional analysis section.
Key regions in the market include:
North America
U.S.
Canada
Europe
U.K.
Italy
Germany
France
Rest of EU
Asia Pacific
India
Japan
China
South Korea
Australia
Rest of APAC
Latin America
Chile
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Saudi Arabia
U.A.E.
South Africa
Rest of MEA
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Emergen Research has segmented the global affective computing market on the basis of offering, technology, industry vertical, and region:
Offering Outlook (Revenue, USD Billion; 2018–2028)
Hardware
Cameras
Sensors
Storage Devices
Others
Software
Speech Recognition
Facial Feature Extraction
Gesture Recognition
Others
Technology Outlook (Revenue, USD Billion; 2018–2028)
Contactless
Contact-based
Industry Vertical Outlook (Revenue, USD Billion; 2018–2028)
Healthcare
Retail
Automotive
Media & Entertainment
BFSI
IT & Telecommunication
Government
Others
Highlights of Table of Contents (TOC):
Overview of Global Affective Computing Market
Competitive analysis of the Affective Computing market
Regional analysis of Global Affective Computing market production and revenue
Regional analysis of Global Affective Computing market supply, consumption, and export & import
Type-based market analysis of global Affective Computing production, revenue, and price trends
Application-based analysis of the global Affective Computing market
Manufacturer profiles, manufacturing cost, and upstream and downstream analysis of global Affective Computing market
Global Affective Computing market forecast (2021-2028)
Conclusion of the research report
Appendix
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