This scholarly exploration delves into the pivotal role of geo-data analytics in shaping U.S. energy policy and business investment strategies. Set against the backdrop of an evolving energy landscape, the study aims to elucidate how geo-data, as a critical modern asset, influences and directs the dynamics of energy policy-making and investment decisions. The scope of the paper encompasses a comprehensive analysis of the integration and implications of geo-data in energy sector dynamics, highlighting its significance in policy formulation, resource management, and the transition towards sustainable energy practices. Employing a qualitative methodology, the study synthesizes insights from a range of peer-reviewed literature, case studies, and policy analyses. This approach facilitates a deep understanding of the multifaceted influence of geo-data analytics, from optimizing energy systems and projecting future demands to informing policy decisions and understanding global market trends. The findings reveal that geo-data analytics significantly impacts energy policy formulation and business investment decisions, offering predictive insights, tailoring local goals, and strategizing for sustainable energy practices. However, challenges such as data accuracy, integration complexities, and the need for advanced analytical tools are also highlighted. Conclusively, the study underscores the indispensable role of geo-data in navigating the complex energy sector. Recommendations emphasize enhancing data accuracy, accessibility, and the integration of advanced analytical tools. The study advocates for a participatory approach in policy formulation, ensuring that geo-data-driven policies are inclusive, effective, and aligned with sustainable energy goals. This research serves as a valuable resource for policymakers, industry stakeholders, and academics, underlining the transformative potential of geo-data in steering the energy sector towards efficiency, sustainability, and resilience.