Nowadays, the recent models in the development of Artificial intelligence focus on the machine learning (ML) models for price prediction that implements a set of new ideas for finding the successful outcomes in data science as agreed by the researchers and that is only the ongoing commitment now. Using that the new ideas must be explored in share market analysis and that predict an excellent boom and gives a set of unpredictable outputs and outcomes. So, it means that, and it is offering investors as a powerful tool for the visualizations of extract insights, and finding and fixing patterns identifications, and bottleneck benchmarks in the business in various. The major goal of these writeups is to explore and explain to analyze the various findings and methodologies in share market analysis, including their various applications, strengths, limitations, and future directions. These exploring explanations give a clear picture for the various ML techniques employed in different aspects of share market analysis, such as price prediction, trend forecasting, sentiment analysis, risk management, and portfolio optimization. Furthermore, the idea is to be extended furthermore on the challenges, opportunities, and emerging trends in the field, highlighting the potential advancements in ML-based approaches for enhancing decision-making and maximizing returns in the dynamic and complex domain of share market investment.