
Emotion Analytics (EA) is a program that can read people's emotions, attitudes, and actions by analyzing their verbal and nonverbal communication skills. Organizations can build customer experience initiatives based on the ratio of facts to feelings. This technology facilitates a one-on-one connection between the retailer and customer by way of an emotional and personal assessment. Through better customer relationship management (CRM), the business can reap the benefits of this software application.
As more and more people realize how much of an impact emotions have on people's actions in all sorts of contexts, the emotion analytics industry is undergoing a revolutionary shift on a worldwide scale. This has led to explosive growth in the industry worldwide. Some of the technologies that stand out for their unique role in comprehending human emotions include speech and voice analytics systems, biometric sensors, facial expression recognition algorithms, and natural language processing. Emotion analytics can be used in many different industries to improve customer experiences. For example, in healthcare, it can be used to improve patient welfare. In financial services, it can be used to measure investor sentiment. In human resources, it can be used to integrate emotional intelligence into talent management.
When looking at the worldwide emotion analytics market, North America is the most important and dominant geographical region. Affectiva, Beyond Verbal, IBM Corporation, and Microsoft Corporation are some of the key businesses driving innovation and setting the industry's course in this fast-paced market.
To assess a person's disposition, emotion analytics (EA) software compiles data on both verbal and nonverbal signs. Emotional analytics is a name for the technology that provides insights into how a customer feels about a product, the presentation of a product, or their experience with a customer service representative. The creation of software for emotions analytics necessitates massive quantities of tagged emotion data. For example, video cameras that capture facial expressions and microphones that capture vocal tones both contribute to the accumulation of emotion data.
By utilizing this data as input, machine learning algorithms are trained to differentiate between tones, expressions, and other characteristics linked to specific emotions. Modern technology for detecting emotions often classifies them as follows: wrath, humiliation, confusion, disgust, fear, annoyance, happiness, melancholy, or shock. In order to better understand and cater to customers' emotions, emotion detection software has grown in importance in sales, marketing, and contact centers. Integrating sentiment analysis with pre-existing CRM data allows marketing and sales teams to develop targeted advertising campaigns that provide a more complete picture of consumers. As a result, the emotion analytics industry is likely to continue expanding.
Since COVID-19 has taken a psychological toll, many people have shown signs of distress as a consequence of the situation. Consequently, most people are venting their frustrations on social media because they are unable to participate in face-to-face interactions. This is a great chance for the vendors to display their products. For instance, Sociometrica and Expert System use social media text analytics to monitor people's moods and emotions. Each published material is analyzed and interpreted by Sociometrica after the artificial intelligence system of Expert System gathers the emotions from it.
With an emphasis on worldwide market trends, the "Global Emotion Analytics Market Analysis to 2031" provides a detailed and expert examination of the media, technology, and telecom industries. This research intends to offer a synopsis of the Emotion Analytics industry by breaking it down into specific submarkets according to product type, target audience, and regional location. We anticipate that the worldwide emotion analytics market will expand at a rapid pace over the next few years. The research gives essential data on the current state of the market for emotion analytics, as well as important trends and opportunities in the industry.
Report Coverage
Global Emotion Analytics research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Emotion Analytics report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Emotion Analytics competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Emotion Analytics market players and analyses their core competencies in each global market sub-segments.
REPORT ATTRIBUTES | DETAILS |
---|---|
Study Period | 2017-2031 |
Base Year | 2024 |
Forecast Period | 2024-2031 |
Historical Period | 2017-2021 |
Unit | Value (USD Billion) |
Key Companies Profiled | 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) |
Segments Covered | • By Product |
Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Emotion Analytics Market from 2021 to 2031.
- Market Forecast for Emotion Analytics Market from 2021 to 2031.
- Regional Market Share and Revenue from 2021 to 2031.
- Country Market share within region from 2021 to 2031.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Emotion Analytics competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Emotion Analytics
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Emotion Analytics market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Emotion Analytics market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
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)
Primary Target Market
- Market Players of Emotion Analytics
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2031. INFINITIVE DATA EXPERT has segmented the global Emotion Analytics market based on the below-mentioned segments:
Global Emotion Analytics Market, By Type
Text Analytics
Facial Analytics
Speech Analytics
Video Analytics
Global Emotion Analytics market, By Application
Customer Experience Management
Sales and Marketing Management
Competitive Intelligence
Public Safety and Law Enforcement
Workforce Management
Global Emotion Analytics Market, By End User
Retail
IT and Telecom
BFSI
Government
Defense and Security
Others
Global Emotion Analytics market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
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