Outsourcing is currently common in Russian business practice. The use of outsourcing changes the system of management in a company and affects its performance indicators. The aim of this study is to identify patterns in the development of outsourcing in regions of the Far Eastern Federal District and Eastern Siberia on the basis of empirical data. Despite the widespread introduction of outsourcing in the activities of enterprises, the patterns of development of this phenomenon at the regional level, its relationship with economic indicators and investment attractiveness of the regions are not studied sufficiently. The relevance of the study is determined by the strategy of improving the business environment in the regions with the aim of attracting investment and implementation of innovative technology. Our research is built on the information methods of data structuring and correlation and regression analysis. We selected activities that are transferred to outsourcing and developed a structure of a multidimensional data array that helps apply various methods of analytical data processing. We revealed patterns in the development of outsourcing in the regions. The patterns are formulated on the basis of the analysis of the structural composition of enterprises, the results of correlation analysis and estimates of logistic regression models. The obtained results have both theoretical and practical significance; they are interesting for the business environment and for researchers in economics and entrepreneurship. Of theoretical importance are the regularities of development of outsourcing in the Far Eastern Federal District and East Siberia. We point out that the development of outsourcing in these regions has common patterns that do not depend on the level of economic development and investment rating. Our research reveals that the use of outsourcing in production activities has no effect on the level of gross regional product. At the same time, it is shown that the number of companies operating in the outsourcing indicates the investment attractiveness of the region. As for real business, the results that we present can be useful in studying the structure of the outsourcing market and in assessing the possibility of transferring the functions and processes to external execution. The data structure that we have developed is the basis for organizing the monitoring of the outsourcing market in the regions. The organization of such a system for storing the data of statistical observations makes it possible to record dynamic changes in the outsourcing market, to study its influence on the formation of a comfortable business environment, and to predict the level of self-employment