Abstract:

AI technologies are helping businesses shift from an information-centered model towards one which relies on deep insights and timely analysis. Such technologies help modern leaders in market monitoring, process control, and competition provisioning. However, decision-making approaches heavily reliant on experience often inadequately capture the predicted phenomena within the time resources available, thus delaying response measures prone to high prediction inefficiency. This paper presents a framework entitled AI-Driven Market Trend Forecasting for Executive Strategy with Predictive Analytics and Machine Learning  (PA-ML) aimed at resolving these issues. Integrating real-time data examination, prediction, and insight automation under the PA-ML framework equips organizational leaders with preemptive strategy formulation and rapid decision-making tools. PA-ML allows businesses to adopt new emerging trends, reduce associated risks, and comply faster with changing market realities. The findings suggest that the novel PA-ML framework provides substantial value for optimizing organizational agility while improving dynamically evolving environment adaptability, accelerating strategic planning, and enhancing decision-making efficiency.