{"id":129995,"date":"2018-12-10T14:28:13","date_gmt":"2018-12-10T14:28:13","guid":{"rendered":"http:\/\/www.georgianewsdesk.com\/news\/story\/129995\/emotion-detection-recognition-market-segmented-by-software-services-enduser-vertical-and-geography-growth-trends-and-forecasts-2018-2023.html"},"modified":"2018-12-10T14:28:13","modified_gmt":"2018-12-10T14:28:13","slug":"emotion-detection-recognition-market-segmented-by-software-services-enduser-vertical-and-geography-growth-trends-and-forecasts-2018-2023","status":"publish","type":"post","link":"http:\/\/www.honolulunewsnow.com\/news\/story\/129995\/emotion-detection-recognition-market-segmented-by-software-services-enduser-vertical-and-geography-growth-trends-and-forecasts-2018-2023.html","title":{"rendered":"Emotion Detection &amp; Recognition Market &#8211; Segmented by Software &amp; Services, End-user Vertical, and Geography &#8211; Growth, Trends and Forecasts (2018 &#8211; 2023)"},"content":{"rendered":"<div style=\"float:right;width:250px;padding:8px 10px 10px 10px\"><a rel=\"nofollow\" href=\"http:\/\/www.abnewswire.com\/pressreleases\/wp-content\/uploads\/2018\/12\/1544446103.jpeg\" style=\"border:none !important\" target=\"_blank\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-29\" title=\"image\" src=\"http:\/\/www.abnewswire.com\/pressreleases\/wp-content\/uploads\/2018\/12\/1544446103.jpeg\" alt=\"\" width=\"225\" height=\"127\" \/><\/a><\/div>\n<div style=\"font-style:italic;padding:8px 0px\">Emotion recognition is a technology that provides advanced image processing capabilities and allows programs to &#8220;read&#8221; emotions such as anger, sadness, fear, joy, disgust, surprise, confidence in a human face. Various players have been experimenting with sophisticated algorithms and image processing techniques that have appeared in the past decade. <\/div>\n<p class=\"caps\">Emotion detection and recognition (EDR) is a technique used in software that allows a program to read the emotions on a human face with the help of advanced image processing technologies and machine learning. Initially, the EDR systems were employed by law enforcement and surveillance departments to detect lie and polygraph tests. On the other hand, it is widely applicable in enterprises, defense and security agency, commercial, industrial and others. Moreover, various top players are focusing on combining image processing techniques with sophisticated algorithms to understand more about a person&rsquo;s feeling with the help of facial images or videos.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;Some of the key players profiled in the study are Affectiva (United States) , Beyond Verbal Communication Ltd. (Israel) , Crowd Emotions (United Kingdom) , Emotient (United States) , Emospeech (United States) , Eyeris (United States) , Good Vibrations (The Netherlands) , Kairos AR Inc. (United States) , Noldus (The Netherlands) , nViso (Switzerland) and Tobii (Sweden).<\/p>\n<p>&nbsp;<\/p>\n<p> <strong>Request Sample of Global Emotion Detection and Recognition Market Insights by Application, Product Type, and Competitive Landscape &amp; Regional Forecast 2025 @:&nbsp;<\/strong><a rel=\"nofollow\" href=\"https:\/\/www.htfmarketreport.com\/sample-report\/1492110-global-emotion-detection-and-recognition-market-2\"><strong>https:\/\/www.htfmarketreport.com\/sample-report\/1492110-global-emotion-detection-and-recognition-market-2<\/strong><\/a><\/p>\n<p> This report studies the Global Emotion Detection and Recognition market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Global Emotion Detection and Recognition market by companies, region, type and end-use industry.&nbsp;<\/p>\n<p> Market Dynamics<\/p>\n<p>Market Trend<\/p>\n<p>Adoption of machine learning, natural language processing<\/p>\n<p>&nbsp;<\/p>\n<p>Market Drivers<\/p>\n<p>Increasing demand for wearable devices including smart watch, fitness bands, smart glasses and other<\/p>\n<p>Surging penetration of Internet of Things (IoT) technology<\/p>\n<p>Rise in Usage of Smartphones<\/p>\n<p>&nbsp;<\/p>\n<p>Challenges<\/p>\n<p>Misinterpretation in analysis of emotions<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Opportunities<\/p>\n<p>Adoption of cloud-based technology<\/p>\n<p>Growing need of strong authentication methods and demand for agile data analytics<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>The following are the major objectives of the study<\/p>\n<p>&bull; To define, describe, and forecast the Global Emotion Detection and Recognition market on the basis of product [] , application [Enterprises , Defense and Security Agencies , Commercial , Industrial and Other], key regions and end user<\/p>\n<p>&bull; To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)<\/p>\n<p>&bull; To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market<\/p>\n<p>&bull; Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders<\/p>\n<p>&bull; To provide market size for various segments of the Emotion Detection and Recognition market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America) , Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific) , Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe) , MEA (Middle East, Africa) , North America (United States, Canada, Mexico)<\/p>\n<p>&bull; To strategically profile the key players and analyzing their market shares and core competencies in the Emotion Detection and Recognition industry<\/p>\n<p>&bull; To track key developments such as product launches, expansions, agreements, partnerships, mergers &amp; acquisitions, and R&amp;D activities that are key factors in shaping the market<\/p>\n<p>&nbsp;<\/p>\n<p>While framing the research framework, major and emerging players operating in the Emotion Detection and Recognition market in various regions have been profiled, and their offerings, geographic footprints, and distribution\/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.<\/p>\n<p> In order to get a deeper view of Market Size, competitive landscape is provided i.e. Revenue (Million USD) by Players (2013-2018), Revenue Market Share (%) by Players (2013-2018) and further a qualitative analysis is made towards market concentration rate, product\/service differences, new entrants and the technological trends in future.&nbsp;<\/p>\n<p> <strong>Enquire for customization in Report @&nbsp;<\/strong><a rel=\"nofollow\" href=\"https:\/\/www.htfmarketreport.com\/enquiry-before-buy\/1492110-global-emotion-detection-and-recognition-market-2\"><strong>https:\/\/www.htfmarketreport.com\/enquiry-before-buy\/1492110-global-emotion-detection-and-recognition-market-2<\/strong><\/a><\/p>\n<p> Have a look at some extracts from Table of Content&nbsp;<\/p>\n<p> Introduction about Global Emotion Detection and Recognition&nbsp;<\/p>\n<p> Global Emotion Detection and Recognition Market Size (Sales) Market Share by Type (Product Category) in 2017&nbsp;<br \/> Emotion Detection and Recognition Market by Application\/End Users&nbsp;<br \/> Global Emotion Detection and Recognition Sales (Volume) and Market Share Comparison by Applications.<\/p>\n<p> Global Emotion Detection and Recognition Sales and Growth Rate (2013-2023)&nbsp;<br \/> Emotion Detection and Recognition Competition by Players\/Suppliers, Region, Type and Application<br \/> Emotion Detection and Recognition (Volume, Value and Sales Price) table defined for each geographic region defined.&nbsp;<br \/> Global Emotion Detection and Recognition Players\/Suppliers Profiles and Sales Data&nbsp;<\/p>\n<p> Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers<br \/> Emotion Detection and Recognition Manufacturing Cost Analysis&nbsp;<br \/> Emotion Detection and Recognition Key Raw Materials Analysis&nbsp;<br \/> Emotion Detection and Recognition Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis&nbsp;<br \/> Market Forecast (2018-2023)&nbsp;<br \/> &#8230;&#8230;..and more in complete table of Contents <\/p>\n<p><strong>Browse for Full Report at:&nbsp;<\/strong><a rel=\"nofollow\" href=\"https:\/\/www.htfmarketreport.com\/reports\/1492110-global-emotion-detection-and-recognition-market-2\"><strong>https:\/\/www.htfmarketreport.com\/reports\/1492110-global-emotion-detection-and-recognition-market-2<\/strong><\/a><\/p>\n<p> Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.&nbsp;<\/p>\n<p><span style='font-size:18px !important'>Media Contact<\/span><br \/><strong>Company Name:<\/strong> <a rel=\"nofollow\" href=\"http:\/\/www.abnewswire.com\/companyname\/htfmarketreport.com_26957.html\">HTF Market Intelligence Consulting Private Limited<\/a><br \/><strong>Contact Person:<\/strong> Craig Francis<br \/><strong>Email:<\/strong> <a rel=\"nofollow\" href=\"http:\/\/www.abnewswire.com\/email_contact_us.php?pr=emotion-detection-recognition-market-segmented-by-software-services-enduser-vertical-and-geography-growth-trends-and-forecasts-2018-2023\">Send Email<\/a><br \/><strong>Phone:<\/strong> 2063171218<br \/><strong>Address:<\/strong>Unit No. 429, Parsonage Road  <br \/><strong>City:<\/strong> Edison<br \/><strong>State:<\/strong> New Jersey<br \/><strong>Country:<\/strong> United States<br \/><strong>Website:<\/strong> <a rel=\"nofollow\" href=\"https:\/\/www.htfmarketreport.com\" target=\"_blank\">https:\/\/www.htfmarketreport.com<\/a><\/p>\n<p><img loading=\"lazy\" src=\"http:\/\/www.abnewswire.com\/press_stat.php?pr=emotion-detection-recognition-market-segmented-by-software-services-enduser-vertical-and-geography-growth-trends-and-forecasts-2018-2023\" alt=\"\" width=\"1px\" height=\"1px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Emotion recognition is a technology that provides advanced image processing capabilities and allows programs to &#8220;read&#8221; emotions such as anger, sadness, fear, joy, disgust, surprise, confidence in a human face.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[],"tags":[],"_links":{"self":[{"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/posts\/129995"}],"collection":[{"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/comments?post=129995"}],"version-history":[{"count":0,"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/posts\/129995\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/media?parent=129995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/categories?post=129995"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.honolulunewsnow.com\/news\/wp-json\/wp\/v2\/tags?post=129995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}