The thesis is devoted to the development of theoretical, methodical and applied principles of improving the methodological provision of forecasting the development of knowledge intensive industries in Ukraine. The methodological approach to forecasting the development of knowledge intensive industries in Ukraine, which involves the use of an exponential method for forecasting the introduction of indicators into the production of new technological processes, the number of new types of products and the share of the volume of science and scientific work performed in GDP, is developed in the work. This made it possible to determine the state of knowledge-intensive production in the perspective period form complex of measures of state support of this sphere, taking into account the current state of the national economy. The matrix of the diagnostics of the state of knowledge intensive industries is developed, which is located in the "pace of introduction of new technologies - the level of development of production". The use of the matrix made it possible to compile the characteristics of critical, precautionary, unstable and balanced states of science-intensive production and to identify effective instruments of their state support. In the course of the study, the classification of science-intensive production was supplemented, which includes a sign of "integrative role", which in its content corresponds to the ability to generate economic activity around itself and to promote the development of other sectors of the country's economy. The study complemented the classification of signs of science-intensive production, which includes the sign "integrative role", which in content corresponds to the ability to generate around economic activity and promote the development of other sectors of the economy. The classification of factors that have a systemic impact on the development of science-intensive industries is complemented by the feature of "belonging to the sectors of the economy," which formed the basis for drawing up forecasts of their promising state on the basis of models of system dynamics. The methodical approach to the formation of the investment policy of the state in the field of knowledge intensive industries is improved, which includes the stage of forecasting the state of production and determining its conformity with a certain characteristic.
The classification of factors that have a systemic impact on the development of science-intensive industries is complemented by a feature of "belonging to the sectors of the economy", which gave the opportunity to create the basis for making forecasts of their promising state on the basis of models of system dynamics. An improved methodological approach to the formation of the investment policy of the state in the field of knowledge intensive industries, which includes the stage of forecasting the state of production and determining its compliance with a certain characteristic: critical, precautionary, unstable, balanced, which created the basis for a reasonable choice of regulatory instruments. Measures of state support for innovation development of industry for 1 quadrant: adoption of amendments and additions to the current legislation in order to stimulate the innovative development of industry; creation of favorable conditions for business to introduce innovative technologies into production; attracting additional financial resources for the purchase or production of patents and licenses for new innovative products; Increasing the interaction of production and educational institutions in creating new innovative attractive projects; creation of conditions for the attraction and support of young people in the field of knowledge intensive productions. For other quadrants, measures are substantiated during the study. The established measures of state support for innovation development of industry create prerequisites for increasing the efficiency of innovations, provide a transition to sustainable economic growth of the national economy on an innovative basis.
Key words: regulatory influence, science-intensive production, structure of the national economy, investment policy, forecasting of the development of knowledge intensive industries.
