According to the latest research report, the global emotion analytics market size is predicted to grow at USD 7.61 Billion by the end of the year 2030 at a CAGR of 14.7% during the forecast period. Emotion Analytics (EA) is a software application that collects data on human communication abilities, both verbal and nonverbal, in order to comprehend a person's mood, attitude, and behavior. The ratio of fact to feeling may be used to create corporate customer experience initiatives. By assessing an emotional and intimate level, this technology allows the merchant to establish a direct relationship with the client. The corporate organization can profit from this software application by enhancing customer relationship management (CRM).
Emotional data is utilized to develop tactics that aid in the improvement of a company's customer relationship management (CRM). Emotion analytics software solutions may help any company with data gathering, categorization, analytics, and visualization. In Incall centers, emotion analytics software is frequently utilized. These emotion analytics software may be used as a standalone application or integrated on top of a customer relationship management (CRM) system, matching a caller's utterances with emotions using audio mining algorithms and a correlation engine. Language-agnostic emotion analytics software may also analyze the caller's tone of voice and the frequency with which a certain word is repeated to give further information into the caller's emotional state. Dashboards that display the emotions of both the caller and the contact center worker enable managers to determine which calls are going well and which may require assistance.
The growth in the number of videos, crucial decision making, and understanding human behaviour in a company are a few of the main driving drivers of the emotion analytics market sales, which is pushing numerous businesses to integrate emotion analytics software into their systems. The Internet of Things in emotion analytics aids companies in better understanding human emotions and will usher in a new era of marketing. Many companies are heavily utilizing mobile and cloud-based biometric technology. All of these reasons are propelling the global emotion analytics market forward.
This report contains all the information on the global emotion analytics market research reports and strengths. The report also contains the culmination of dynamics, segmentation, key players, regional analysis, and other important factors. And a detailed analysis of the global emotion analytics market analysis and forecast to 2023 is also included in the report.
Many people have displayed indications of anguish as a result of the COVID-19 scenario since COVID-19 has taken an emotional toll. As a result, because they are unable to engage in social connection, the majority of the people is turning to social media to express their sentiments. This gives the sellers an opportunity to showcase their wares. Expert System and Sociometrica, for example, employ text analytics across social media to track people's emotions and overall mood. Expert System's artificial intelligence system collects emotions from each published text, which Sociometrica then analyses and interprets.
The world's largest providers of emotion analysis solutions include companies such as Microsoft Corporation (U.S.), International Business Machines Corporation (U.S.), Apple, Inc. (U.S.), Retinad Virtual Reality Inc. (Canada) and Neuromore Inc. (U.S.). As part of a Partnership Treaty with Affectiva, Lightspeed LLC, a world leader in digital data gathering, introduced additional emotional analyses across Americas, Europe, and Asia Pacific areas on 2 March 2017. This emotional analysis can measure emotions in real-time from over 5.5 million light speed panelists.
Emotion is quantified using an automatic face coding method, which is based on an emotional identification technique. With the combined technology of face recognition and emotional analysis, the biometrics of the facial market is mostly increasing in emotional analysis. The rising acceptance of face biometrics in several sectors, such as government, the financial, and banks, is used for the purpose of ID cards, passports, driving licenses, health care and social security cards.
According to the reports, the worldwide emotion analytics market is classified by type, technology, solution, end-users, and geography. Facial analytics, speech analytics, video analytics, and more types are available. Artificial intelligence, biometrics and neuroscience, 3D modelling, pattern recognition, records management, and others are sub-segments of the technologies segment. The solution sector is further divided into mobile and web applications, cloud, and other sub-segments. End-users are further classified as businesses, defense and security agencies, commercial, industrial, and others. The market is divided into four regions: North America, Europe, Asia Pacific, and the rest of the world.
The emotion analytics market is segmented on the basis of type, technology, solution, end-users, and geography. The global emotion analytics market is expected to witness decent growth during the forecast period.
Based on the application, the emotion analytics market is segmented into Artificial intelligence, biometrics and neuroscience, 3D modeling, pattern recognition, records management, and others.
Based on the propulsion types, the emotion analytics market is segmented into businesses, defence and security agencies, commercial, industrial, and others.
According to the reports, the regional study of the emotion analytics market includes Asia Pacific (China, Japan, and India), North America (the United States, Mexico, and Canada), Europe (the United Kingdom, and Germany), and the Rest of the World. In terms of market share, North America is one of the world's top regions. The emotion analytics market in this area is seeing high demand as a result of the rising usage of cloud-based face recognition software in organizations, which is driving emotion analytics market share expansion to a great extent. The emotion analytics industry in Europe is projected to expand rapidly in the next years. Whereas Asia Pacific nations such as China, Japan, and India are developing emotion analytics markets in the world, with the greatest CAGR predicted throughout the projection period.
Just because some firms control the majority of the market share, the emotion analytics industry is concentrated. Furthermore, because of increased investment and demand for individualized user experiences, market entrance for new entrants remains difficult. Affectiva Inc, IBM Corporation, RealEyes, and Clarifai are among the market's main participants.
March 2024: According to a recent survey conducted by Scotiabank, an almost half of Canadians express that financial disputes contribute to heightened levels of tension in their lives. Furthermore, 47% of respondents indicate that they have engaged in the same financial dispute with a loved one on multiple occasions. In order to facilitate effective communication among Canadians, Scotiabank is introducing Money Style by Scotia Advice+, an online resource that promotes financial literacy through an emphasis on emotional intelligence and empathy in the context of money. The Money Style instrument identifies, through the analysis of real-world situations, which fundamental universal requirements may be influencing an individual's financial-related attitudes, behaviors, and perspectives.
Affectiva, a Smart Eye company, introduced a novel attention metric in September 2023 as part of its cloud-based Emotion AI solution. This metric, which is supported by Smart Eye's sophisticated automotive safety-grade eye tracking technology, provides advertisers, marketers, and entertainment companies with a substantial improvement in measuring viewer attention. By analyzing gaze and head position, this one-of-a-kind and comprehensive measurement provides insights that are not immediately attainable. Affectiva's pursuit of a calibration-free, attention metric that is centered on advertisements is acquiring rapid traction.
Utilizing its expertise in gaze measurement, the organization implements a comprehensive strategy to estimate user attention on advertisements. The preliminary results underscore the considerable potential of this novel methodology, particularly when integrated with supplementary technologies like in-context advertising exposure techniques. Utilized by more than ninety percent of the world's largest advertisers, Affectiva's Emotion AI technology boasts a notable track record in advertising measurement.
This capability enables these frontrunners in the industry to gain insight into the thoughts and emotions of viewers, forecasting their level of involvement with their advertisements and programs. Through the analysis of viewers' facial expressions, the technology developed by Affectiva reveals whether or not individuals react to the content as intended. Presently, operating as an affiliate of Smart Eye, this amalgamation of Affectiva and Smart Eye's cutting-edge technologies provides unprecedented insights into viewer behavior, addressing critical inquiries within the market research sector, including the extent to which viewers genuinely interact with the advertising campaigns that corporations allocate millions of dollars to create and distribute.
US
Canada
Latin America
Brazil
Mexico
Others
France
Germany
Poland
Russia
Australia and New Zealand (ANZ)
Greater China
India
ASEAN
Rest of Asia Pacific
Japan
GCC Countries
Other Middle East
South Africa
Other Africa
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