Emotion Artificial Intelligence Market 2019 Business Scenario – IBM, Microsoft, Eyesight Technologies - OnYourDesks

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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.


Facial recognition : 7 trends to watch (2019 review)

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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 .


Artificial Intelligence- Emotional Recognition Market Global Potential Growth, Share, Demand and Analysis of Key Players- Research Forecasts to 2022

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Artificial Intelligence- Emotional Recognition Market research report provides Emerging Market trends, Raw Materials Analysis, Manufacturing Process, regional outlook and comprehensive analysis on different market segments. The Artificial Intelligence- Emotional Recognition Market provides detailed analysis of Market Overview, Market Drivers, Opportunities, Potential Application. Top Key Players of Artificial Intelligence- Emotional Recognition Market covered as: Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Pixar, Synced Review, Affectiva, Cloudwalk, IFlytek, Soifan Artificial Intelligence- Emotional Recognition industry drives A strong trend of R&D investments in food industries. Other growth drivers include the need to curtail costs, growth and increased use of shifting commodity prices, strength of private label brands and increased competition from players in Artificial Intelligence- Emotional Recognition market. The Artificial Intelligence- Emotional Recognition market research report gives an overview of Artificial Intelligence- Emotional Recognition industries on by analysing various key segments of this market based on the product types, application, end-to-end industries and its scenario.


Video Analytics Market worth 8.55 Billion USD by 2023

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The report "Video Analytics Market by Type (Software and Services), Application (Intrusion Management, Incident Detection, People/Crowd Counting, Traffic Monitoring), Deployment (On-Premises and Cloud), Vertical, and Region - Global Forecast to 2023", The global video analytics market size is expected to grow from USD 3.23 Billion in 2018 to USD 8.55 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 21.5% during the forecast period. The growth of the video analytics market is driven by many factors, such as disadvantages of manual video analysis, enterprises' demand for actionable insights from video data, government investments in emerging technologies to enhance public safety infrastructure, and falling prices of video surveillance equipment. With an increasing adoption rate of Internet of Things (IoT) and big data among enterprises, the video analytics market is expected to gain major traction during the forecast period. Early buyers will receive 10% customization on reports. The demand for video analytics software is being driven by its ability to be integrated with the originally deployed analog, IP, or megapixel cameras within establishments, thereby eliminating the need for the deployment of additional hardware.