Affective Computing Market Estimated to Reach a Value of US$103.377 Billion by 2025

Knowledge Sourcing Intelligence announces the publication of a new report on "Affective Computing Market - Forecasts from 2020 to 2025" to their offering. Also known as emotional artificial intelligence, Affective Computing, is an interaction between human and computer whereby human emotions and other stimuli are detected and consequently responded to.

The affective computing market was valued at US$21.576 billion in 2019 and is expected to grow at a CAGR of 29.84% to reach a market size of US$ 103.377 billion by the year 2025. The rapid innovations and advances in technology around the world coupled with the growing adoption of electronics in our daily lives are projected to stimulate the growth of the affective computing market. The increasing need to capture consumer behavior and personality; the need for software platforms to create a holistic learning management system to be incorporated in educational as well as other training establishments is expected to drive the growth of this market. Moreover, the adoption of cloud computing and the rapid incorporation of virtualization across various industries is expected to drive the demand for affective computing solutions globally.

This market comprises quite a number of players that are engaged in providing various technologies and hardware. Players in the affective computing market are known to engage in various partnerships to widen the scope of the portfolio of products.

In April 2019, Affectiva announced the finalization of $26 million funding round to further its emotion and object detection AI aid the organization to evolve, accelerate and scale its perceptive technology in the automotive industry as well as in other areas like conversational interfaces, social robotics, and market research. The funding round was led by automotive supplier Aptiv PLC (NYSE: APTV).

Shanghai-based artificial intelligence (AI) startup Emotibot has reportedly closed $45 million Series B+, funding with the objective of enhancing emotion-sensing capabilities of robots in human-machine interaction.

The major players covered as part of the report are Affectiva, Beyond Verbal, CrowdEmotion, Emotibot, Gestigon HQ, Intel Corporation, nViso SA, Realeyes and THRIVE Learning System, among others.

This report segmented the Affective Computing Market on the basis following terms
o By Technology
o Touchless
o Touch-Based

o By Product
o Software
o Gesture Recognition
o Speech Recognition
o Enterprise Software
o Facial Expression Recognition
o Neural Analytics
o Others

o By Vertical
o Healthcare
o Media and Entertainment
o Government and Defense
o Education
o Leisure and Hospitality
o Communication and Technology
o Retail
o Others

o By Geography
o North America
o USA
o Canada
o Mexico

o South America
o Brazil
o Argentina
o Others

o Europe
o Germany
o France
o United Kingdom
o Spain
o Others

o Middle East and Africa
o Saudi Arabia
o Israel
o UAE
o Others

o Asia Pacific
o China
o Japan
o South Korea
o India
o Others

View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/global-affective-computing-market

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Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm publishing market research studies spanning across ten industry verticals. KSI has a team of experienced and young professionals with a singular focus on delivering high-quality research services to enterprises, non-government organizations, government agencies, and research institutes and organizations. We publish hundreds of reports per year centering on the niche and latest technologies. We engage with key decision-makers and stakeholders across the value chain to provide clients with a detailed analysis and bird's-eye view of the market with complete market dynamics, statistical forecasts, competitive analysis, key trends, market drivers and challenges and strategic recommendations for making informed decisions. Our success lies in the effort of our analysts who strive to meet client expectations by delivering quality work within the stipulated deadlines.

This release was published on openPR.