PREDICTIVE ANALYSIS OF CROSS-SECTOR INNOVATION PROJECTS USING ADDITIVE TECHNOLOGIES IN HIGH-TECH INDUSTRIES

Kozhiev Alexander Yurievich, Teslyuk Vladislav Sergeyevich

The article is devoted to the analysis of inter-industry innovation projects, which focus on additive technologies (hereinafter referred to as “AT”) as a key element of transformation of production processes in high-tech industries. The article considers the essence of inter-industry cooperation as a form of cooperation that provides accelerated implementation of innovations within the framework of the open innovation concept. The paper emphasizes the importance of additive technologies for such industries as aerospace, automotive and medical instrumentation, as well as their role in the formation of new business models. The use of predictive analytical methods has allowed the development of the AT Adoption Potential Index (AAPI), which takes into account industry characteristics such as market size, growth rate, scale of adoption and competitive saturation. Based on the analysis of data from 50 projects, the most promising industries for large-scale AT deployment were identified. The results obtained can be used for strategic planning, prioritization of state support and formation of technological development roadmaps.

Keywords:predictive analysis, additive technologies, cross-industry innovation projects, integrated approach, prospectivity index for the introduction of additive technologies, strategic industry planning