Application of Econometric Methods in Processing Statistical Data Based on Cloud Technologies

This paper develops a multifactor econometric model to assess the determinants of costs associated with processing statistical data using cloud technologies. The empirical analysis is based on semiannual data for 2010-2025 obtained from the Statistics Agency of the Republic of Uzbekistan. The dependent variable is the cost of processing statistical data in cloud environments, while the explanatory variables include data volume, internet connection speed, level of automation, and the number of cloud users. The results substantiate the relationships among variables, confirm the statistical significance of the model, and demonstrate its forecasting capability. In addition, projections for 2026–2030 are produced, enabling an evaluation of how the adoption of cloud technologies influences both the scale and the dynamics of data-processing costs.