Industry OVERVIEW OF Emotion Detection and Recognition MARKET 2020 TO 2026:The market intelligence report on the Global Emotion Detection and Recognition Market offers accurate insights into the industry relating to the leading segments, product types, applications, and the leading geographic regions studied in this report, along with the market value, capacity, production, consumption, gross revenue, market dynamics, and forecast until the year 2026.The Global Emotion Detection and Recognition Market is expected to deliver a steady growth rate in the forecast duration from 2020 to 2026.Additionally, the report also gives a historical analysis of the market to use that data to predict future growth trends.The emotion detection and recognition market is forecasted to grow at a rate of 36.9% during the forecast period and reach USD 148.11 Billion in 2026.This report covers the recent COVID-19 incidence and its impact on 777.This study assesses the current landscape of the ever-evolving business sector and the present and future effects of COVID-19 on the market.Fill in your details to get your hands on an Exclusive Sample of this Report @ https://www.reportsanddata.com/discount-enquiry-form/2162In market segmentation by manufacturers, the report covers the following companies-Crowdemotion Ltd., Affectiva, Beyond Verbal, Kairos Ar, Inc., Emotient, an Apple Company, Eyeris, Realeyes, Noldus, Nviso, and Skybiometry, Sightcorp.Furthermore, the research report projects the changes in the supply-demand dynamics, market value, market competition, leading market players, and market estimations from 2020 to 2026.The report has been created after analyzing its essential information in the overall Global Emotion Detection and Recognition market 2020, the vital market aspects influencing the market growth in the coming years.Our team of expert analysts has scrutinized the Emotion Detection and Recognition market report by referring to the data provided by leading companies.In market segmentation by types of Emotion Detection and Recognition, the report covers-Software Tool Type Outlook (Revenue, USD Billion; 2020-2026)Speech and Voice RecognitionBio-Sensing Software Tools and AppsFacial Expression RecognitionTechnology type Outlook (Revenue, USD Billion; 2020-2026)Bio-Sensors TechnologyFeature Extraction and 3D ModelingNatural Language Processing [NLP]Machine LearningPattern RecognitionOthersIn market segmentation by applications of the Emotion Detection and Recognition, the report covers the following uses-Law Enforcement, Monitoring, and SurveillanceEntertainment and Consumer ElectronicsMarketing and AdvertisingMedical emergency and healthcareOthersDo you have questions about the Report or want to inquire about a Discount?
This report focuses on the global Emotion Detection and Recognition status, future forecast, growth opportunity, key market and key players.The consulting and integration services segment is expected to grow at the highest CAGR during the forecast period; consulting & integration in the service type is projected to witness the highest demand due to the high involvement of end users for managing and aligning the solutions according to the organizations’ business needs.ACCESS THE PDF SAMPLE OF THE REPORT @ HTTPS://WWW.ORBISRESEARCH.COM/CONTACTS/REQUEST-SAMPLE/2312380Several factors such as rising demand for sentiment mapping, especially by the marketing and advertising sector, increasing concerns for security, and growing need for application for support during emergency have bolstered the growth of emotion detection and recognition systems.Verticals such as healthcare, banking, defense, commercial security, and many more have boosted the market.In 2017, the global Emotion Detection and Recognition market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 28.7% during 2018-2025.The key players covered in this studyAffectivaBeyond VerbalCrowdemotion Ltd.EmotientEyerisKairos Ar, Inc.NoldusNvisoRealeyesSentianceSightcorpSkybiometryMarket segment by Type, the product can be split intoFeature Extraction and 3D ModelingBio-Sensors TechnologyPattern RecognitionNatural Language ProcessingMachine LearningOthersMarket segment by Application, split intoEnterprisesDefense and Security AgencyCommercialIndustrialOthersMarket segment by Regions/Countries, this report coversUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South AmericaThe study objectives of this report are:To analyze global Emotion Detection and Recognition status, future forecast, growth opportunity, key market and key players.To present the Emotion Detection and Recognition development in United States, Europe and China.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by product type, market and key regions.In this study, the years considered to estimate the market size of Emotion Detection and Recognition are as follows:History Year: 2013-2017Base Year: 2017Estimated Year: 2018Forecast Year 2018 to 2025For the data information by region, company, type and application, 2017 is considered as the base year.Whenever data information was unavailable for the base year, the prior year has been considered.BROWSE THE FULL REPORT @ HTTPS://WWW.ORBISRESEARCH.COM/REPORTS/INDEX/GLOBAL-EMOTION-DETECTION-AND-RECOGNITION-MARKET-SIZE-STATUS-AND-FORECAST-2018-2025Table of ContentsChapter One: Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered1.4 Market Analysis by Type1.4.1 Global Emotion Detection and Recognition Market Size Growth Rate by Type (2013-2025)1.4.2 Feature Extraction and 3D Modeling1.4.3 Bio-Sensors Technology1.4.4 Pattern Recognition1.4.5 Natural Language Processing1.4.6 Machine Learning1.4.7 Others1.5 Market by Application1.5.1 Global Emotion Detection and Recognition Market Share by Application (2013-2025)1.5.2 Enterprises1.5.3 Defense and Security Agency1.5.4 Commercial1.5.5 Industrial1.5.6 Others1.6 Study Objectives1.7 Years ConsideredChapter Two: Global Growth Trends2.1 Emotion Detection and Recognition Market Size2.2 Emotion Detection and Recognition Growth Trends by Regions2.2.1 Emotion Detection and Recognition Market Size by Regions (2013-2025)2.2.2 Emotion Detection and Recognition Market Share by Regions (2013-2018)2.3 Industry Trends2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market OpportunitiesChapter Three: Market Share by Key Players3.1 Emotion Detection and Recognition Market Size by Manufacturers3.1.1 Global Emotion Detection and Recognition Revenue by Manufacturers (2013-2018)3.1.2 Global Emotion Detection and Recognition Revenue Market Share by Manufacturers (2013-2018)3.1.3 Global Emotion Detection and Recognition Market Concentration Ratio (CRChapter Five: and HHI)3.2 Emotion Detection and Recognition Key Players Head office and Area Served3.3 Key Players Emotion Detection and Recognition Product/Solution/Service3.4 Date of Enter into Emotion Detection and Recognition Market3.5 Mergers & Acquisitions, Expansion PlansChapter Four: Breakdown Data by Type and Application4.1 Global Emotion Detection and Recognition Market Size by Type (2013-2018)4.2 Global Emotion Detection and Recognition Market Size by Application (2013-2018)Chapter Five: United States5.1 United States Emotion Detection and Recognition Market Size (2013-2018)5.2 Emotion Detection and Recognition Key Players in United States5.3 United States Emotion Detection and Recognition Market Size by Type5.4 United States Emotion Detection and Recognition Market Size by ApplicationChapter Six: Europe6.1 Europe Emotion Detection and Recognition Market Size (2013-2018)6.2 Emotion Detection and Recognition Key Players in Europe6.3 Europe Emotion Detection and Recognition Market Size by Type6.4 Europe Emotion Detection and Recognition Market Size by ApplicationChapter Seven: China7.1 China Emotion Detection and Recognition Market Size (2013-2018)7.2 Emotion Detection and Recognition Key Players in China7.3 China Emotion Detection and Recognition Market Size by Type7.4 China Emotion Detection and Recognition Market Size by ApplicationChapter Eight: Japan8.1 Japan Emotion Detection and Recognition Market Size (2013-2018)8.2 Emotion Detection and Recognition Key Players in Japan8.3 Japan Emotion Detection and Recognition Market Size by Type8.4 Japan Emotion Detection and Recognition Market Size by ApplicationChapter Nine: Southeast Asia9.1 Southeast Asia Emotion Detection and Recognition Market Size (2013-2018)9.2 Emotion Detection and Recognition Key Players in Southeast Asia9.3 Southeast Asia Emotion Detection and Recognition Market Size by Type9.4 Southeast Asia Emotion Detection and Recognition Market Size by ApplicationChapter Ten: India10.1 India Emotion Detection and Recognition Market Size (2013-2018)10.2 Emotion Detection and Recognition Key Players in India10.3 India Emotion Detection and Recognition Market Size by Type10.4 India Emotion Detection and Recognition Market Size by ApplicationChapter Eleven: Central & South America11.1 Central & South America Emotion Detection and Recognition Market Size (2013-2018)11.2 Emotion Detection and Recognition Key Players in Central & South America11.3 Central & South America Emotion Detection and Recognition Market Size by Type11.4 Central & South America Emotion Detection and Recognition Market Size by ApplicationChapter Twelve: International Players Profiles12.1 Affectiva12.1.1 Affectiva  Company Details12.1.2 Company Description and Business Overview12.1.3 Emotion Detection and Recognition Introduction12.1.4 Affectiva  Revenue in Emotion Detection and Recognition Business (2013-2018)12.1.5 Affectiva  Recent Development12.2 Beyond Verbal12.2.1 Beyond Verbal  Company Details12.2.2 Company Description and Business Overview12.2.3 Emotion Detection and Recognition Introduction12.2.4 Beyond Verbal  Revenue in Emotion Detection and Recognition Business (2013-2018)12.2.5 Beyond Verbal  Recent Development12.3 Crowdemotion Ltd.12.3.1 Crowdemotion Ltd.  Company Details12.3.2 Company Description and Business Overview12.3.3 Emotion Detection and Recognition Introduction12.3.4 Crowdemotion Ltd.  Revenue in Emotion Detection and Recognition Business (2013-2018)12.3.5 Crowdemotion Ltd.Recent Development12.4 Emotient12.4.1 Emotient Company Details12.4.2 Company Description and Business Overview12.4.3 Emotion Detection and Recognition Introduction12.4.4 Emotient Revenue in Emotion Detection and Recognition Business (2013-2018)12.4.5 Emotient Recent Development12.5 Eyeris12.5.1 Eyeris  Company Details12.5.2 Company Description and Business Overview12.5.3 Emotion Detection and Recognition Introduction12.5.4 Eyeris  Revenue in Emotion Detection and Recognition Business (2013-2018)12.5.5 Eyeris  Recent Development12.6 Kairos Ar, Inc.12.6.1 Kairos Ar, Inc.  Company Details12.6.2 Company Description and Business Overview12.6.3 Emotion Detection and Recognition Introduction12.6.4 Kairos Ar, Inc.  Revenue in Emotion Detection and Recognition Business (2013-2018)12.6.5 Kairos Ar, Inc.Recent Development12.7 Noldus12.7.1 Noldus  Company Details12.7.2 Company Description and Business Overview12.7.3 Emotion Detection and Recognition Introduction12.7.4 Noldus  Revenue in Emotion Detection and Recognition Business (2013-2018)12.7.5 Noldus  Recent Development12.8 Nviso12.8.1 Nviso  Company Details12.8.2 Company Description and Business Overview12.8.3 Emotion Detection and Recognition Introduction12.8.4 Nviso  Revenue in Emotion Detection and Recognition Business (2013-2018)12.8.5 Nviso  Recent Development12.9 Realeyes12.9.1 Realeyes  Company Details12.9.2 Company Description and Business Overview12.9.3 Emotion Detection and Recognition Introduction12.9.4 Realeyes  Revenue in Emotion Detection and Recognition Business (2013-2018)12.9.5 Realeyes  Recent Development12.10 Sentiance12.10.1 Sentiance  Company Details12.10.2 Company Description and Business Overview12.10.3 Emotion Detection and Recognition Introduction12.10.4 Sentiance  Revenue in Emotion Detection and Recognition Business (2013-2018)12.10.5 Sentiance  Recent Development12.11 Sightcorp12.12 SkybiometryChapter Thirteen: Market Forecast 2018-202513.1 Market Size Forecast by Regions13.2 United States13.3 Europe13.4 China13.5 Japan13.6 Southeast Asia13.7 India13.8 Central & South America13.9 Market Size Forecast by Product (2018-2025)13.10 Market Size Forecast by Application (2018-2025)Chapter Fourteen: Analyst’s Viewpoints/ConclusionsChapter Fifteen: Appendix15.1 Research Methodology15.1.1 Methodology/Research Approach15.1.1.1 Research Programs/Design15.1.1.2 Market Size Estimation12.1.1.3 Market Breakdown and Data Triangulation15.1.2 Data Source15.1.2.1 Secondary Sources15.1.2.2 Primary Sources15.2 Disclaimer15.3 Author DetailsDIRECT PURCHASE THE REPORT @ HTTPS://WWW.ORBISRESEARCH.COM/CONTACT/PURCHASE-SINGLE-USER/2312380ABOUT US:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements.
Artificial emotional intelligence, or “emotion AI,” is emerging as a key component of the broader AI movement.The general idea is this: It’s all very well having machines that can understand and respond to natural-language questions, and even beat humans at games, but until they can decipher non-verbal cues such as vocal intonations, body language, and facial expressions, humans will always have the upper hand in understanding other humans.And it’s against that backdrop that countless companies are working toward improving computer vision and voice analysis techniques, to help machines detect the intricate and finely balanced emotions of a flesh-and-bones homo sapiens.One of those companies is Realeyes, a company that helps big brands such as AT, Mars, Hershey’s, and Coca-Cola gauge human emotions through desktop computers’ and mobile devices’ cameras.The London-based startup, which was founded in 2007, today announced a fresh $12.4 million round of funding from Draper Esprit, the VC arm of Japanese telecom giant NTT Docomo, Japanese VC fund Global Brain, Karma Ventures, and The Entrepreneurs Fund.Realeyes targets its technology at marketing campaigns, including videos and other creative assets such as photos or GIFs, as part of focus groups.
Whenever someone mentions the term “branded content,” my mind still drifts back to the original inspiration for my love of the technique: BMW’s The Hire.In fact, with the technique’s influence growing over the years, we may have reached the point where branded content is the best vehicle marketers have for bridging the gap between initial awareness and ongoing affinity.In fact, a recent study by Turner Ignite and Realeyes found they make viewers more likely to consider the featured brand when it comes time to make a purchase (compared to traditional 30-second ads).For instance, as CMI founder Joe Pulizzi pointed out years ago, the LEGO Movie entertained mass audiences and earned millions in revenue as a traditional feature film; but it also performed strongly as a marketing vehicle by winning the hearts and minds of a new generation of prospective LEGO consumers.And when brands don’t have the right strategy, protocols, or expectations to achieve success, the results can turn out to be more harmful than helpful (as was the case in 2013 for The Atlantic).Content that’s outstanding in its field
The study ensures a 360° view, bringing out the complete key insights of the industry.Emotion Analytics (EA) is a new field that analysis of a person's verbal and non-verbal communication in order to understand the person's mood or attitude, then can be used in CRM (Customer Relationship Management) area, such as to identify how a customer perceives a product, the presentation of a product or an interaction with a company representative.This report describes the development of the industry by upstream & downstream, industry overall and development, key companies, as well as type segment & market application and so on, and makes a scientific prediction for the development industry prospects on the basis of analysis, finally, analyzes opportunities for investment in the industry at the end of the report.Access Full Report of Emotion Analytics Market @ http://www.arcognizance.com/report/global-emotion-analytics-market-survey-and-trend-research-2018The global Emotion Analytics Market report by wide-ranging study of the Emotion Analytics industry which covers comprehensively all aspects of the different industry verticals.Furthermore, the future projection for the forecast period is also covered within the global Emotion Analytics industry report.Industry ChainRaw MaterialsCostTechnologyConsumer PreferenceIndustry Overall:HistoryDevelopment & TrendMarket CompetitionTrade OverviewPolicyRequest a sample of this report @ http://www.arcognizance.com/enquiry-sample/109734The Emotion Analytics market segmentation provides the customer a comprehensive overview of the overall Emotion Analytics industry, assisting them in making informed decisions through key insights into the Emotion Analytics market.The segmentation is done on the basis of product, region, and application.Region (North America, Europe, Asia-Pacific, South America, Middle East, Africa):Regional MarketProduction DevelopmentSalesRegional TradeRegional ForecastCompany (Microsoft, IBM, IMotions, Kairos, Affectiva, Affectiva, Eyeris (EmoVu), NViso, Realeyes, Yuyidata, Adoreboard, Heartbeat AI, Deloitte, SAS Institute, Clarabridge, Crimson Hexagon, Berkshire Media, Dentsu etc.):Company ProfileProduct & ServiceBusiness Operation DataMarket ShareInvestment Analysis:Market FeaturesInvestment OpportunityInvestment CalculationEach company covered in the Emotion Analytics market report includes a detailed company profile as well as their latest updates such as new product development, expansions, and acquisitions and mergers.For more information on the Emotion Analytics report, get in touch with arcognizance.Purchase copy of this Report @ http://www.arcognizance.com/purchase/109734Some Points from TOC:Chapter One: Industry Overview 1.1 Emotion Analytics Industry 1.1.1 Definition 1.1.2 Industry Trend 1.2 Industry Chain 1.2.1 Upstream 1.2.2 Technology 1.2.3 Cost Structure 1.2.4 Consumer Preference 1.2.2 DownstreamChapter Two: Industry Overall 2.1 Industry History 2.2 Development Prospect 2.3 Competition Structure 2.4 Relevant Policy 2.5 Trade OverviewChapter Three: Emotion Analytics Market by Product 3.1 Products List of Major Companies 3.2 Market Size 3.3 Market ForecastChapter Four: Key Companies List 4.1 Microsoft (Company Overview, Sales Data etc.)4.6.1 Company Overview 4.6.2 Products and Services 4.6.3 Business Analysis 4.7 Eyeris (EmoVu) (Company Overview, Sales Data etc.)
Reporte.us is online market intelligence firm has recently published a new report "Emotion Detection And Recognition System Market: Global Industry Analysis 2013 - 2017 and Forecast 2018-2023" covers a comprehensive study of global emotion detection and recognition system market.The report offers concise and complete information about emerging market segments in emotion detection and recognition system and market driving factors will boost the decision-making process.Moreover, market statistic information from 2013 - 2013, top market players in emotion detection and recognition system, their company profile, market share, segmentation, and geographical overview of the emotion detection and recognition system industry will help the readers in planning their business strategies.At the initial level, the report offers the fundamental overview of the emotion detection and recognition system market on basis of definition, market concentration, classification, emotion detection and recognition system market revenue statistics from 2013 to 2017.Furthermore, the report enlists several important factors such as emotion detection and recognition system market drivers, restraints, industry policies, technological innovation, and M activities in the future, vendor landscape and supply/demand pattern of emotion detection and recognition system industry has been provided.The report provides geographical analysis for emotion detection and recognition system across more than 5 regions worldwide.The major geographies that are cited in the report such as emotion detection and recognition system market in North America, Europe, Asia-Pacific, Middle East and Africa and Rest of World.Free Sample of Global Emotion Detection And Recognition System Market report from http://reporte.us/global-emotion-detection-and-recognition-system-market/#request-sampleCompetitive Scenario of Global Emotion Detection And Recognition System MarketIn this section, global competitive landscape and supply/demand pattern of the emotion detection and recognition system market has been studied rigorously.
Karma has 10 companies in their portfolio – 2 in Sweden, 2 in Finland, 3 in Estonia, 1 in Latvia, 1 in Lithuania and 1 in the UK.Their recent investment portfolio company, London-based Realeyes works on emotion recognition technology that uses machine learning to measure how people feel as they watch videos online through their webcam.Here are 5 principles from Tommi:Karma is not a b*tch.It has nothing to do with spiritual gurus, sunsets in Goa and enlightenment.We are humble and focus on supporting entrepreneurs, helping them to grow.
A Gartner report published in January said that within four years, your devices will “know more about your emotional state than your own family.”Deep learning has advanced emotion detection from basic emotions such as happiness, surprise, anger, sadness, fear and disgust to more than 20 more subtle emotions that include awe, happy surprise and hate.The University of Ohio developed a program that recognizes 21 emotions based on facial expressions in photographs.Cogito’s AI software, which is based extensively on behavioral science research from MIT’s Human Dynamics Lab, analyzes the emotional state of customers and gives instant feedback to human call center agents, enabling them to empathize more easily with customers.Companies such as Affectiva and Realeyes offer cloud-based solutions that use webcams to track facial expressions and heart rate (by detecting the pulse in the skin of the face).The companies are looking to expand into other fields, such as healthcare, where automated call centers might detect depression or pain in the voice of the caller, even if the caller doesn’t express it verbally.
Now, a company providing the technology to do that has raised a round both to expand its business in adtech as well as to tackle new applications in healthcare and education.Realeyes, a London-based startup that uses computer vision to read a person’s emotional responses when they are watching a video as short as six seconds long, and then using predictive analytics to help map that reading to the video to provide feedback on its effectiveness, has raised $16.2 million in funding, money that it plans to use to expand in engineering and business development.The rise of “smart” and connected hardware that picks up data as much as produces it is the opportunity that Realeyes is tapping.“We are surrounded by devices with cameras and microphones in them,” CEO and founder Mihkel Jäätma said in an interview.It says that revenues have shot up 932 percent in the last four years, and it has added customers like Coca Cola, Mars, Publicis, Turner and Oath (which also owns TechCrunch) to its books.Realeyes is not wasting time in bringing on extra talent to support the expansion.
He just wanted to help that little boy sleep, and instead he’s become a Christmas damp squib.The consensus is that John Lewis floundered this year with its festive advertising - of the retailer’s past five yuletide campaigns, this is the first to have garnered anything less than unanimous praise.It’s a result that has had critics decrying John Lewis’ ‘formula’, saying it’s more tired than the boy in the ad.And looking at the recent Realeyes study conducted via face-reading AI, you might be inclined to agree: John Lewis ranks number 17, with Coca Cola’s Gogglebox spot assuming top rank.And there’s the clue when it comes to Moz’s woes.Christmas ads are now considered cultural events – milestones, even – rather than just 30 second selling spots.
A film showing the cast of Channel 4's Gogglebox reacting to Coca-Cola's much-anticipated and annually reoccurring 'Holidays are Coming' ad was found to be the UK’s most engaging spot of the season, according to facial recognition data from Realeyes.The agency tested 55 of the top Christmas ads to see which ones evoked the most attention – and more importantly – emotion from viewers.The twist on Coke's classic film, which showed families on their sofas chatting about the ad, trumped Vodafone, John Lewis and McDonald's to claim the crown.The top ten spots were populated by the following brands.Vodafone: 'A Christmas Love Story'M: 'Paddington and the Christmas Visitor'
That’s the basic takeaway from a new study by emotion tracking firm Realeyes and candy/food maker Mars, released this week.Webcams in the computers of 22,334 consenting consumers in six countries tracked emotional reactions to 149 video ads for chocolate candy (such as Mars, Twix and Snickers), pet food (Pedigree and Whiskas), chewing gum (e.g., Orbit) and food (including Uncle Ben’s rice and Dolmio pasta sauces).Each ad was seen by several hundred viewers.The idea was to see if emotional responses could be used to predict sales lifts.With the widespread availability of webcams on computers, marketers are increasingly using emotional tracking as regular tool.[Read the full article on MarTech Today.]
Mars has teamed up with emotion measurement technology specialists Realeyes to help identify the creative aspects in its advertising which can trigger the kind of emotional response in consumers that leads to sales.The study measured how people felt while they watched ads by using artificial intelligence to analyse their facial expressions through their webcams.It consisted of 149 ads across 35 brands involved 22,334 people in six countries.Realeyes technology measures the micro-movements of the face and uses computer vision and machine learning to analyse them, focusing on expressions of happiness, surprise, confusion, disgust, engagement, and behaviours such as how and when people move their head.By cross-referencing Realeyes' emotion data with the known sales lift data for each ad, Mars was able to investigate the relationship between emotions and sales performance.The result found that the emotions data could be used to correctly identify whether the ads had an impact of sales 75% of the time.
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