The Artificial Intelligence (AI)-Emotion Recognition Market is estimated reach US$ 2301.3 Million in 2027 growing at a CAGR of ~12.6% during the forecast period.
Latest added Artificial Intelligence (AI)-Emotion Recognition Vision Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2027. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study are Apple Inc., Affectiva Inc., Microsoft Corporation, The International Business Machines Corporation, Beyond Verbal, CloudWalk Technology, CrowdEmotion, iFlytek, INTRAface, Kairos, Kairos AR, Inc., Noldus, nViso Sarl, Realeyes OU, Sight Corp., SoftBank Group, and Tobii AB. The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.
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This report studies the Artificial Intelligence (AI)-Emotion Recognition Vision Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Artificial Intelligence (AI)-Emotion Recognition Vision Market by companies, region, type and end-use industry.
Scroll down 100s of data Tables, charts and graphs spread through Pages and in-depth Table of Content on ”Artificial Intelligence (AI)-Emotion Recognition Market, By Type (Facial Emotion Recognition, Speech Emotion Recognition), End-Use (Education, Medical Care, and Wisdom Center), Vertical – Global Forecast to 2027″. Early buyers will get 10% customization on study.
To Avail deep insights of Artificial Intelligence (AI)-Emotion Recognition Vision Market Size, competition landscape is provided i.e. Revenue Analysis (M $US) by Company (2018-2020), Segment Revenue Market Share (%) by Players (2018-2020) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.
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This report would help you answer the following questions:
- What is the market size and forecast of the Global Artificial Intelligence (AI)-Emotion Recognition Market?
- What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence (AI)-Emotion Recognition Market during the forecast period?
- Which region outstands in the Global Artificial Intelligence (AI)-Emotion Recognition Market?
- Which are the segments to invest in over the forecast period in the Global Artificial Intelligence (AI)-Emotion Recognition Market?
- What is the competitive strategic window for opportunities in the Global Artificial Intelligence (AI)-Emotion Recognition Market?
- What are the technology trends and regulatory frameworks in the Global Artificial Intelligence (AI)-Emotion Recognition Market?
- What are the major company in the Global Artificial Intelligence (AI)-Emotion Recognition Market?
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The Global Artificial Intelligence-Emotion Recognition Market report provides a holistic evaluation of the market. The report comprises various segments as well as an analysis of the trends and factors that are playing a substantial role in the market. These factors; the market dynamics, involves the drivers, restraints, opportunities, and challenges through which the impact of these factors in the market is outlined. The drivers and restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market. The Global Artificial Intelligence-Emotion Recognition Market study provides an outlook on the development of the market in terms of revenue throughout the prognosis period.
What is Artificial Intelligence-Emotion Recognition?
Artificial Intelligence is the development of systems that can perform tasks that require human intelligence. It refers to the simulation of human intelligence in machines which allows it to think and act like humans. It is developed to make work and life more productive by understanding humans and their emotions. On the other hand, emotion recognition refers to the process of recognizing human emotions. Therefore, identifying human emotions with the help of AI is termed as artificial intelligence-emotion recognition.
Global Artificial Intelligence-Emotion Recognition Market Outlook
In the report, the market outlook section mainly encompasses fundamental dynamics of the market which include drivers, restraints, opportunities, and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
The rise in the increasing demand for facial and speech-based emotion detection systems due to the analysis of emotional states is the major driver for the growth of the global Artificial Intelligence-Emotion Recognition market. Furthermore, technological advancements across the globe in IoT, AI, MI, Deep learning, etc. and growing need for socially intelligent artificial agents and enhanced productivity are also fueling the growth of this market. In addition to this, an increase in government initiatives to leverage this technology and growing partnerships worldwide is also expected to boost the growth of this market. However, high production costs, complex systems, and technical challenges are some of the factors which may restrain the growth of the market.
MarketDigits narrows down the available data using primary sources to validate the data and use it in compiling a full-fledged market research study. The report contains a quantitative and qualitative estimation of market elements which interests the client. The “Global Artificial Intelligence-Emotion Recognition Market” is mainly bifurcated into sub-segments which can provide a classified data regarding latest trends in the market.
Global Artificial Intelligence-Emotion Recognition Market Competitive Landscape
The “Global Artificial Intelligence-Emotion Recognition Market” study report will provide a valuable insight with an emphasis on global market including some of the major players such as Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, BeyondVerbal, Affectiva, and KairosAR.
Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.
Global Artificial Intelligence-Emotion Recognition Market Segment Analysis
Artificial Intelligence-Emotion Recognition Market is segmented into Type, End-Use, Vertical And Geography.
Global Artificial Intelligence-Emotion Recognition Market, By Type
• Facial Emotion Recognition
• Speech Emotion Recognition
Global Artificial Intelligence-Emotion Recognition Market, By End-Use
• Medical Care
• Wisdom Center
Global Artificial Intelligence-Emotion Recognition Market, By Vertical
Global Artificial Intelligence-Emotion Recognition Market Geographic Scope
• North America
• Asia Pacific
• Rest of the World
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