The increasing demand for energy efficiency in buildings has driven the need for innovative design approaches that optimize architectural and energy performance. Parametric design offers a flexible and efficient method for generating and evaluating multiple design alternatives, allowing for the integration of energy performance criteria from the early design stages. Current design practices often rely on predefined rules and static models, limiting real-time adjustments based on energy performance analysis. In contrast, parametric modeling provides a dynamic and iterative approach, enabling designers to explore various configurations of geometry, materials, façades, insulation strategies, shading devices, and building orientation to enhance energy efficiency. By linking parametric tools with energy simulation software and incorporating predefined energy-efficiency targets, the impact of design choices on heating, cooling, and daylighting performance is assessed more effectively. This research presents a state-of-the-art review of parametric design applications in energy-efficient buildings, critically analyzing their advantages and limitations. A systematic evaluation of case studies and methodologies identifies the key benefits and challenges of parametric workflows, particularly in the context of low-energy and nearly Zero Energy Buildings. The main advantages include enhanced flexibility, rapid performance evaluation, and multi-objective optimization. However, challenges remain, such as implementation complexity, the need for advanced computational knowledge and skills, and the risk of excessive reliance on automated processes that may overlook real-world constraints. This study contributes to the ongoing discourse on digital design methodologies by offering insights into how parametric tools can be effectively integrated into sustainable building practices.