This article analyzes modern approaches to forecasting regional socio-economic development, including the use of economic-mathematical models, artificial intelligence, and geoinformation technologies. The study highlights the significance of integrating targeted and empirical approaches with composite indicators to ensure sustainable development. Reducing interregional disparities, stimulating investment activity, and preparing reliable forecasts for policymaking are considered important scientific and practical tasks. Thus, the role of forecasting and planning processes as a scientific foundation for strategic governance is substantiated.