This paper presents an IT-based comparative assessment of major renewable energy technologies, including solar, wind, hydropower, geothermal, and bioenergy, using digital monitoring tools and data analytics. The study integrates official statistical reports, peer-reviewed publications, and international energy databases for the period 2021–2024, with limited projections for 2025, to evaluate technical performance, economic efficiency, and environmental impact. Particular attention is given to the role of intelligent monitoring, levelized cost of electricity analysis, and data-driven modelling in improving the reliability and scalability of renewable energy systems. The results indicate that solar and wind technologies achieved the most significant progress due to higher conversion efficiency, declining generation costs, and rapid deployment. Hydropower remains one of the most technically efficient renewable sources, while geothermal and bioenergy continue to play important regional roles despite slower expansion. Environmental analysis confirms that broader renewable energy adoption contributes to lower life-cycle carbon emissions than fossil-based generation. The study also shows that hybrid energy systems, storage technologies, and smart-grid integration are essential for improving system flexibility and long-term sustainability. These findings support evidence-based planning and policy development for the transition to low-carbon energy systems.