The global affective computing market is envisioned to create high growth prospects on the back of the rising deployment of machine and human interaction technologies. With enabling technologies already making a mark with their adoption in a range of industry verticals, it could be said that the market has started to evolve. Facial feature extraction software collecting a handsome demand in the recent years is expected to augur well for the growth of the deployment of cameras in affective computing systems. Detection of psychological disorders, facial expression recognition for dyslexia, autism, and other disorders in specially-abled children, and various other applications could increase the use of affective computing technology. Life sciences and healthcare are prognosticated to showcase a promising rise in the demand for affective computing.
The report presents an in-depth assessment of the Artificial Intelligence-Emotion Recognition including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Artificial Intelligence-Emotion Recognition investments from 2019 till 2025. The Global Artificial Intelligence-Emotion Recognition Market is expected to grow from USD 813.56 Million in 2018 to USD 1,890.67 The positioning of the Global Artificial Intelligence-Emotion Recognition Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital). The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market.
Do you remember watching crime shows where investigating teams used to hire sketch artists to draw the image/face of criminal described by witnesses? And they would then hunt for the person to lock him up. But one might wonder today, are these tactics still common in detecting crime or criminals? With the rise in Artificial Intelligence enabled Face and Image Recognition technologies, the days of sketching criminal are long gone. The process of identifying or verifying the identity of a person using their face has made investigations a lot easier today.
A New Research on the Global Emotion Artificial Intelligence Market was conducted across a variety of industries in various regions to produce more than 150 page reports. This study is a perfect blend of qualitative and quantifiable information highlighting key market developments, industry and competitors' challenges in gap analysis and new opportunities and may be trending in the Emotion Artificial Intelligence market. Some are part of the coverage and are the core and emerging players being profiled IBM, Microsoft, Eyesight Technologies, Affectiva, NuraLogix, gestigon GmbH, Crowd Emotion, Beyond Verbal, nViso, Cogito Corporation, Kairos. Import and export policies that can have an immediate impact on the global Emotion Artificial Intelligence market. This study includes EXIM * related chapters for all relevant companies dealing with the Emotion Artificial Intelligence market and related profiles and provides valuable data in terms of finances, product portfolio, investment planning and marketing and business strategy.
Few biometric technologies are sparking the imagination quite like facial recognition. Equally, its arrival has prompted profound concerns and reactions. With artificial intelligence and the blockchain, face recognition certainly represents a significant digital challenge for all companies and organizations - and especially governments. In this dossier, you'll discover the 7 face recognition facts and trends that are set to shape the landscape in 2019. Let's jump right in .