Affective Computing Market with COVID-19 Update by Google, Microsoft, IBM, Apple, Qualcomm, Affectiva, Elliptic Labs, Eyesight Technologies, Intel, Pyreos and Others.

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Affective Computing Market with COVID-19 Update by Google,

According to Market Study Report, Affective Computing Market provides a comprehensive analysis of the Affective Computing Market segments, including their dynamics, size, growth, regulatory requirements, competitive landscape, and emerging opportunities of global industry.

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The Global Affective Computing Market size in the post-COVID-19 scenario is projected to grow from USD 28.6 Billion in 2020 to USD 140.0 Billion by 2025, at a CAGR of 37.4% during the forecast period.

Top Companies Profiled in the Affective Computing Market:
• Google (US)
• Microsoft (US)
• IBM (US)
• Apple (US)
• Qualcomm (US)
• Affectiva (US)
• Elliptic Labs (Norway)
• Eyesight Technologies (Israel)
• Sony Depthsensing Solutions (Belgium)
• Intel (US)
• Pyreos (UK)
• Cognitec Systems (Germany)
• Beyond Verbal (Israel)
• GestureTek (Canada)
• SightCorp (Noord-Holland)
• CrowdEmotion (UK)
• Kairos (US)
• nViso (Switzerland)
• PointGrab (US)
• Eyeris (US)
• Numenta (US)

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“By component, the software segment is estimated to hold a larger market size than the hardware segment in 2025.”
The increasing need to capture customer behavior & personality, the demand for software platforms for the provision of efficient learning tools in educational institutes, and the rapidly growing use of supportive tools for medical emergencies are the major drivers that have bolstered the software providers to offer affective computing software platforms

“By software, facial feature extraction is expected to register a higher growth rate than any other software segments during the forecast period in the affective computing market.”
Facial recognition is a type of biometric software that is used to scan, store, and recognize human faces by comparing digital images with those stored in databases. One of the major advantages of facial recognition is that it enables the identification of a person by comparing a person’s image with that stored in the database, resulting in a higher level of security.

Competitive Landscape of Affective Computing Market:
1 Introduction
2 Competitive Leadership Mapping
2.1 Visionary Leaders
2.2 Dynamic Differentiators
2.3 Innovators
2.4 Emerging Companies
3 Competitive Scenario
3.1 New Product Launches And Product Enhancements
3.2 Partnerships And Collaborations
3.3 Mergers And Acquisitions

Reason to access this report:
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall affective computing market and its sub segments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies.

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