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MarketSight: A Predictive Analytics Platform for Uncovering Hidden Market Opportunities and Driving Business Growth
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I7-1713546
Abstract
In a rapidly changing and data-driven business world, the traditional market analysis tools have a hard time detecting the latent opportunities, as they are descriptive and reactive. This paper proposed a predictive analytics platform, MarketSight which combined artificial intelligence, data mining, and business intelligence methods to identify latent market opportunities. Based on the literature in AI-based market analysis and predictive analytics, the paper introduced a conceptual framework and system architecture that uses machine learning, real-time data combination, and decision-support dashboards to improve market sensing and strategic foresight. The findings of this study presented a platform-based predictive market intelligence and provided actionable insights to managers who are interested in using analytics to achieve sustainable growth.
Keywords
Predictive Analytics; Market Intelligence; AI-Driven Analytics; Business Growth; Decision Support Systems; Market Opportunity Discovery
References
[1] Aslam, S. (2023). AI-driven market analysis: Harnessing data mining for competitive business consulting. https://doi.org/10.13140/RG.2.2.25247.06569
[2] Pattanayak, S. K. (2021). Navigating ethical challenges in business consulting with generative AI: Balancing innovation and responsibility. International Journal of Enhanced Research in Management & Computer Applications, 10, 24–32.
[3] Selvarajan, G. (2021). Harnessing AI-driven data mining for predictive insights: A framework for enhancing decision-making in dynamic data environments. International Journal of Creative Research Thoughts, 9, Article 5476.
[4] Zhou, X., Chai, C., Li, G., & Sun, J. (2022). Database meets artificial intelligence: A survey. IEEE Transactions on Knowledge and Data Engineering, 34(3), 1096–1116. https://doi.org/10.1109/TKDE.2020.2994641
How to cite this paper
@article{1713546,
author = {Adetunji Mobolaji Ajayi},
title = {MarketSight: A Predictive Analytics Platform for Uncovering Hidden Market Opportunities and Driving Business Growth},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {7},
pages = {1014-1019},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713546.pdf},
abstract = {In a rapidly changing and data-driven business world, the traditional market analysis tools have a hard time detecting the latent opportunities, as they are descriptive and reactive. This paper proposed a predictive analytics platform, MarketSight which combined artificial intelligence, data mining, and business intelligence methods to identify latent market opportunities. Based on the literature in AI-based market analysis and predictive analytics, the paper introduced a conceptual framework and system architecture that uses machine learning, real-time data combination, and decision-support dashboards to improve market sensing and strategic foresight. The findings of this study presented a platform-based predictive market intelligence and provided actionable insights to managers who are interested in using analytics to achieve sustainable growth.},
keywords = {Predictive Analytics; Market Intelligence; AI-Driven Analytics; Business Growth; Decision Support Systems; Market Opportunity Discovery},
month = {January},
doi = {https://doi.org/10.64388/IREV9I7-1713546}
}