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The Emotion Analytics market has been experiencing a significant surge in recent years, reflecting the growing recognition of the importance of understanding human emotions in various industries. This burgeoning sector revolves around the use of advanced technologies to analyze and interpret human emotions, offering valuable insights for businesses and organizations. One notable trend in the Emotion Analytics market is the increasing integration of artificial intelligence (AI) and machine learning (ML) algorithms to enhance the accuracy and depth of emotion analysis. These technologies enable the development of sophisticated tools capable of discerning subtle nuances in facial expressions, speech patterns, and other non-verbal cues, providing a more comprehensive understanding of human emotions.
Furthermore, the Emotion Analytics market has witnessed a rise in demand across diverse sectors, including retail, healthcare, finance, and customer service. Businesses are leveraging emotion analytics to gain a deeper understanding of customer sentiments and preferences, enabling them to tailor their products and services to meet specific emotional needs. In the retail sector, for instance, emotion analytics is utilized to analyze customer reactions to products, store layouts, and advertising campaigns, allowing retailers to optimize their strategies for enhanced customer engagement and satisfaction.
Another noteworthy market trend is the increasing emphasis on real-time emotion analytics. As technology continues to advance, there is a growing demand for solutions that can provide instant insights into emotional states. Real-time emotion analytics finds applications in various scenarios, such as call centers, where sentiment analysis can be employed to assess customer satisfaction during interactions. This trend reflects the evolving need for prompt decision-making and adaptive strategies based on immediate emotional feedback.
Moreover, the Emotion Analytics market is witnessing a shift towards multimodal emotion analysis. Rather than relying on a single source of data, such as facial expressions or voice tone, businesses are adopting approaches that combine multiple modalities for a more holistic understanding of emotions. This includes integrating data from facial recognition, voice analysis, physiological signals, and even text analysis to paint a comprehensive picture of an individual's emotional state. This multifaceted approach enhances the accuracy and reliability of emotion analytics solutions, catering to the nuanced nature of human emotions.
Ethical considerations and privacy concerns also play a crucial role in shaping market trends within the Emotion Analytics sector. As the use of emotion analytics becomes more prevalent, there is a growing awareness of the need to establish ethical guidelines and privacy frameworks. Businesses and technology developers are increasingly focusing on ensuring that the collection and analysis of emotional data are conducted in a responsible and transparent manner. This includes obtaining informed consent from individuals, anonymizing data to protect identities, and implementing robust security measures to safeguard sensitive information.
Furthermore, the Emotion Analytics market is witnessing increased collaboration and partnerships among industry players. As the demand for comprehensive emotion analytics solutions grows, companies are recognizing the benefits of combining expertise and resources. Collaborative efforts facilitate the development of more sophisticated and integrated solutions, combining the strengths of different technologies and approaches to deliver more accurate and actionable insights.
Emotion Analytics Market Highlights:
Emotion Analytics Market Overview
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.
Industry News of Emotion Analytics Market
- On Feb.08, 2023, Entropik, a leading provider of an AI-powered integrated market research platform, announced receiving US$25 million from Bessemer, SIG, to build its emotion AI tech suite further. The funding was raised in Series B, led by Bessemer Venture Partners and SIG Venture Capital.
- The funding will be used to build its emotion AI technology suite, further enabling senior business leaders to understand customers' emotions while sharing feedback. Entropik's AI solutions democratize research and insights data across the organization, enabling research, marketing, and product teams to capture user feedback efficiently.
- On Feb.08, 2023, Uniphore, a leading conversational AI provider, announced the acquisition of France-based Hexagone for behavioral analytics. Hexagone combines voice, video, and text-based data to provide AI-based insights to help companies understand human behavior and sentiment. The acquisition enables Uniphore to significantly improve its ability to understand customer sentiment and behavior, across the channels, in its X Platform by adding to its emotion detection capabilities.
Covid 19 Analysis
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.
Market Dynamic
Drivers
- The rising need for improved sales performance and the rise in the adoption of generating more personalized user experiences are the key factors driving the emotion analytics market growth. Furthermore, technological progress, an increase in demand for artificial intelligence, and big data analytics are some of the other aspects imposing favorable influences on the market. Furthermore, the increased flexibility of electronic wearable gadgets has fueled market expansion.
Opportunities
- The emotion analytics market's high demand for artificial intelligence and big data analytics is opening up new growth opportunities in the future years. Furthermore, the growing volume of web material is pushing end-users to employ emotion analytics tools to assess individual behavior. Leading businesses all over the globe are rapidly embracing cloud-based biometric and mobile technologies, which will drive emotion analytics market demand.
Restraints
- However, the high cost associated with the adoption and use of emotion analytics is a key issue impeding market growth over the next six years.
Challenges
- The accuracy of emotion analytics, challenges with facial recognition, and privacy and security concerns may stymie the expansion of the emotion analytics sector throughout the projection period.
Cumulative Growth Analysis
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.
Value Chain Analysis
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.
Segmentation Overview
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.
By Application
Based on the application, the emotion analytics market is segmented into Artificial intelligence, biometrics and neuroscience, 3D modeling, pattern recognition, records management, and others.
By end-users
Based on the propulsion types, the emotion analytics market is segmented into businesses, defence and security agencies, commercial, industrial, and others.
Regional Insights
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.
Competitive landscape
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.
Emotion Analytics Market Top Leaders
- Microsoft Corporation (U.S.)
- International Business Machines Corporation (U.S.)
- Apple, Inc. (U.S,)
- Retinad Virtual Reality Inc. (Canada)
- Neuromore Inc. (U.S.)
- Imotions A/S (Denmark)
- Kairos AR, Inc. (U.S.)
- Beyond Verbal (Israel)
- Affectiva (U.S.)
- Eyris (EmoVu) (U.S.)
- Adoreboard (U.K.)
- sensation.io (Germany)
- iMotions (U.S)
- RealComm Global LLC (U.S)
- Lightspeed LLC (U.S.)
Report Overview
- The following report comprises of
- Market overview
- Covid 19 Analysis
- Market Dynamic
- Drivers
- Opportunities
- Restraints
- Challenges
- Cumulative Growth Analysis
- Value Chain Analysis
- Segmentation Overview
- By Application
- By End-Users
- Regional Analysis
- Competitive landscape
Emotion Analytics Industry Developments
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.
Emotion Analytics Market Segments
Emotion Analytics Market By Type
- Text Analytics
- Facial Analytics
- Speech Analytics
- Video Analytics
Emotion Analytics Market By Application
- Sales and Marketing Management
- Customer Experience Management
- Competitive Intelligence
- Public Safety and Law Enforcement
- Workforce Management
By Organization Size
- Large Enterprises
- Small and Medium-Sized Businesses (SMBs)
By Vertical
- Retail
- BFSI
- IT and Telecommunication
- Retail
- Healthcare
- Media and Entertainment
- Government
- Others (Travel and Hospitality, and Energy and Utilities)
By region
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North America
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US
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Canada
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Latin America
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Brazil
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Mexico
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Others
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Europe
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France
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Germany
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Poland
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Russia
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Asia Pacific
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Australia and New Zealand (ANZ)
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Greater China
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India
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ASEAN
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Rest of Asia Pacific
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Japan
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The Middle East and Africa
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GCC Countries
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Other Middle East
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North Africa
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South Africa
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Other Africa
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