MarketSight: A Predictive Analytics Platform for Uncovering Hidden Market Opportunities and Driving Business Growth

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.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-01-13
DOI
https://doi.org/10.64388/irev9i7-1713546
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

MarketSight: A Predictive Analytics Platform for Uncovering Hidden Market Opportunities and Driving Business Growth

Adetunji Mobolaji Ajayi
Iconic Research and Engineering Journals
Customer churn and segmentation
article

MarketSight: A Predictive Analytics Platform for Uncovering Hidden Market Opportunities and Driving Business Growth

Adetunji Mobolaji Ajayi
article en

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.

Iconic Research and Engineering JournalsVol. 9(7)
Openalex Percentile: Top 91%
Customer churn and segmentation
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