The Affective Computing Market intelligence report further offers hard to find data derived from attractiveness analysis that narrates a lot about the products, regions and applications expected to generate more revenue. The research study sheds light on the key growth opportunities and market trends along with other vital market dynamics, including the drivers and restraints on the industry growth. With this report, the prospective buyers can be sure to become capable of adapting to the changes in the Affective Computing industry.
Steady market revenue growth can be attributed to growing demand for telemedicine and increasing need to remotely assess patient’s health. Remote monitoring of patients is a primary application of telemedicine. Use of affective competing through smart devices such as smart wearables in telemedicine enables a more cost-effective and rapid means of assessing current state and need for medication for a patient at a distance.
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Top Companies Affective Computing Market and Profiled in the Report are:
Microsoft Corporation, Affectiva, Google LLC, Elliptic Laboratories A/S, Apple Inc., Cognitec Systems GmbH, Sony Depthsensing Solutions, International Business Machine Corporation, Qualcomm Technologies Inc., and Cipia Vision Ltd.
Key Highlights of 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.
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Objectives of the Report:
- Study of the global Affective Computing market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)
- Industrial structure analysis of the Affective Computing market by identification of various sub-segments
- Extensive analysis of key market players along with their SWOT analysis
- Competitive landscape benchmarking
- Analysis of Affective Computing market based on growth trends, futuristic outlook, and contribution to the total growth of the market
- Analysis of drivers, constraints, opportunities, challenges, and risks in the global Affective Computing market
- Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances
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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
On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the RD sector.
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