Abstract: This study presents a comprehensive analysis of the A-Z Medicine Dataset, unveiling insights into India's pharmaceutical landscape. We employ data analytics techniques to examine trends, patterns, and correlations within the dataset, providing a detailed understanding of the Indian medicine market. Our findings highlight key characteristics of the market, including dominant therapeutic categories, leading pharmaceutical companies, and emerging trends. This research contributes to the existing body of knowledge by offering a data-driven perspective on India's pharmaceutical sector, informing stakeholders and guiding future research, This study successfully developed a predictive machine learning model that achieved 0.89 r2-score in forecasting medicine prices, highlighting its significant potential for improving pharmaceutical pricing strategies.

Keywords: Pharmaceutical landscape, India, A-Z Medicine Dataset, Data analytics, Market trends, Therapeutic categories, Prediction, R2_score, Accuracy, Pharmaceutical companies, Machine Learning Model.

Downloads: | DOI: 10.17148/IARJSET.2026.13311