Overview of Technological Forecasting and Assessment of the Life Cycle Results of the Technological Innovation Market

This research discusses non-expert infometric principles for evaluating quantitative multimodal indicators of technology readiness based on bibliometric and infometric approaches. The concepts and methodology of these principles are analyzed, and the adequacy from the side of availability and reliability is determined. The author offered a combined version of the optimal set of indicators for the multilateral assessment of technology from the side of technological readiness and market readiness. Emphasis is placed on the cumulative temporal characteristic of the innovation process and the relevant rules of time series research. The author describes models of the life cycle of the technological innovation market (technology life cycle (TLC) model, technology acceptance curve model, market expectations model, and hype cycle model). The author presents the model of the high-tech hype cycle, the structure of the phases, and the properties of the stages. The connection between the dynamics of infometric indicators and technological and market maturity is explained. During the research, the author applied publicly available software tools for patent and search semantic textual analysis of the high-tech market profile. The research presents a model for semantic analysis and ensembling the results of patent and search analysis for assessing the state of maturity of the high-tech market. A description of the experiment based on Patentinspiration, Orbit Intelligence, Google Trend, and Yandex Wordstat is presented. The paper describes the shortcomings of infometric analysis based on patents and patent claims, as well as methods to address them based on the international patent classification.