The global emotional analytics market is expected to expand at a CAGR of 15.6% during the forecast period from 2019 to 2027.
During the forecast period from 2019 to 2027, the global emotional analytics market is expected to grow at a CAGR of 15.6%.
The increasing adoption of Big Data Analytics and Artificial Intelligence (AI) are few of the major factors that drive emotional analytics market growth. In industries including call centers, sales and marketing among others, Emotional Analytics has grown in importance. It is often used as a stand-alone application in call centers or as a customer relationship management system, using audio mining techniques and correlation engines to track the word and emotions of callers.
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Based on technology, the category of biometrics and neuroscience leads the emotional analytics market as it enhances the security of business operations. As biometric technology becoming more popular, businesses and governments are adopting the technology to create a secure and rapid employee experience while signing into networks and applications in the workplace. It is expected that the rapid adoption and application of emotional analytics would drive market growth.
Based on geography, North America leads the emotional analytics market due to its dominance due to the rapid adoption of artificial intelligence technology and big data analytics. Europe follows North America as various vertical end-user industries such as defense and security agencies and government, among others, are increasingly adopting technology for emotional analytics. The growing use of facial biometrics in various industries, including banking, finance, sales and marketing, is embarking on growth to a large extent.
Widespread use of Big Data and artificial intelligence is creating wider possibilities for developers of emotional analytics. Technology companies involved in the development of emotional analytics software focus aggressively on, among others, the development of advanced emotion recognition APIs, facial biometric tools and camera-based analytics platforms. For example, Beyond Verbal an Israeli start-up has developed a engine that measures the emotional state of a person based on their vocal intonations. This engine is being used in different call centers and after deployment of the software they have seen tremendous growth in their sales.
Some of the leading manufacturers/developers profiled in the study include Google, Inc., Apple, Inc., Facebook, Inc., Microsoft Corporation, IBM Corporation, Kairos AR, Inc., Affectiva Inc., Beyond Verbal, Eyris (Emovu), iMotions A/S, sensation.io, RealComm Global LLC, Neuromore Inc., Lightspeed LLC, Retinad Virtual Reality Inc. among others.
Report Scope by Segments
By Technology Segment (2017–2027; US$ Mn)
• Artificial Intelligence
• Biometrics and Neuroscience
• 3D Modelling
• Pattern Recognition
• Records management
• Others (Facial recognition)
By Application Segment (2017–2027; US$ Mn)
• Customer Experience Management
• Competitive Intelligence
• Sales and Marketing Management
By Type Segment (2017–2027; US$ Mn)
• Text
• Facial
• Speech
• Video Analytics
By Solution Segment (2017–2027; US$ Mn)
• API & SDK
• Mobile and Web Application
• Cloud
By End User Segment (2017–2027; US$ Mn)
• Enterprises
• Defense and Security agencies
• Commercial
• Industrial
• Others (personal users)
How this report is useful?
The study “Emotion Analytics” will facilitate strategic decision-making with credible and genuine business information. It also maps important rivals and their strategies and positioning on the “Emotion Analytics” industry. The research also covers innovative and upcoming technological developments that are basically aimed at giving you an advantage over rivals. Various industry models industry dynamics and information contained in the study provide clarity across the value chain on different industries. The study also offers decisive approaches with a goal to support market entry and exit decision-making. The research also shows the market’s revenue pockets and investment possibilities.
Key research study highlights comprise:
a. Exhaustive research and analysis of the global emotional analytics industry
b. The key market segments along have been explained in the report thoroughly along with their existing and estimated market size
c. Major elements of market dynamics such as drivers, challenges and opportunities and their effect on emotional analytics market is also covered in the report
d. Key players operating in the market are profiled and accompanied with the competitive landscape evaluated on the basis of product offering & business strength
e. Cross sectional analysis of each region covering individual segments for the forecast period 2019 – 2027 in terms of value (US$ Mn)
The participants tracked for primary interviews include:
• Marketing/product managers
• Vice President/ CEOs
• National sales managers
• Market intelligence managers
• Distributors
• Purchasing managers
• Other stakeholders
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