The creation and forecasting of macroeconomic models are becoming increasingly important in today’s world, where the transport industry plays a key role in the country’s economic development. Like in many other countries, the transport industry of the Kyrgyz Republic faces certain challenges and problems, including inefficient resource use, insufficient infrastructure, limited budget funds, etc. The use of information technologies to create and forecast macroeconomic models in the transport industry is becoming a necessity for effective resource management and development of the industry. One of the main problems faced in the transport industry of the Kyrgyz Republic is the lack of accurate and reliable macroeconomic models that can consider various factors influencing the industry’s development. It is also necessary to forecast the development of transport infrastructure and economic indicators to make informed management decisions. The research aims to develop and apply macroeconomic models using information technologies in the transport industry of the Kyrgyz Republic. The main objectives of this research are (1) to develop new methods and forecasting models considering the transport industry specifics, (2) to use information technologies for collecting, analyzing, and interpreting data, and (3) to analyze the effectiveness of developed models and their applicability for practical use in the transport industry management.