The escalating threat of climate change has made it imperative to understand and mitigate the environmental impact of human activities, particularly by reducing carbon footprints. This research ventures on predicting carbon emissions for India using autoregressive integrated moving average (ARIMA) models. The findings may signal appreciable implications for decisions in governmental policies and energy sector. This study highlights a potential situation for India in the coming years due to increased expenditure of carbon-based fuel sources to meet the need for increased manufacturing and demand. The ARIMA models developed in this research can serve as a valuable tool for forecasting carbon emissions and guiding future energy policies.