Technology {Functional Magnetic Resonance Imaging (FMRI), Electroencephalography (EEG), Biometrics, Facial Coding, Eye Tracking}
The global neuromarketing solutions market is segmented and analyzed for demand and supply by technology into functional magnetic resonance imaging (FMRI), electroencephalography (EEG), biometrics, facial coding and, eye tracking. Out of this technology of neuromarketing solutions, the eye tracking segment is estimated to gain the largest market revenue in the year 2036. The segment has seen rapid growth in the fields of market research and advertising research, as well as opportunities to conduct online research. Subjects from all over the world can be tested in online research, eliminating the need for them to be physically present at the site. It has been observed that the eye-tracking technology has an accuracy rate of more than 90 percent. Moreover, eye-tracking systems are used in virtual reality and gaming, that is further expected to boost the growth of the segment in the market.
End-user {Banking, Financial Services, Insurance (BFSI), Retail/Consumer Brands, Market Research, Scientific Institutions}
The global neuromarketing solutions market is also segmented and analyzed for demand and supply by end-user into banking, financial services, & insurance (BFSI), retail/consumer brands, market research, scientific institutions, others. Amongst these segments, the retail/consumer brands segment is expected to garner a significant revenue in the year 2036. The factor applicable for the growth of retail/consumer brands segment is that the retail and consumer brands employ neuromarketing techniques to learn why consumers are attracted towards a particular color or particular brand. Electroencephalography, or EEG, is used to record consumers' brainwaves while they move around the surroundings, look at packages, or interact with point-of-sale displays. Therefore, it is projected to surge the segment’s growth in the market.
Our in-depth analysis of the global market includes the following segments:
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Author Credits: Abhishek Verma
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