Exploring Untapped Market Niches With Deep Learning Models

Abstract

The paper looks at how deep learning models work, analyse emerging and hidden markets, and apply the information to discuss how to develop business development strategies. Applying deep learning in market research involves demonstrating methodologies such as Systematic Literature Review (SLR) and PRISMA. By going over how neural networks compute, determining which business sectors to target, and illustrating how deep learning can help in market analysis, this paper shows businesses how these will be able to discover and thus dominate specific niches. Therefore, the summative integration of artificial intelligence and comprehensive data analysis methods offers an initial prototype design of the reference architecture to be used by organisations to improve strategic market designs and optimise incremental modifications necessary to build markets. The optimistic trend regarding DL in the market analysis is connected to the new prospects and potentialities that can offer new opportunities for deepening the learning process to cover the market and create enhanced models.