Abstract
<jats:p>The study focuses on the methodological framework for monitoring and forecasting breakthrough technologies within the rapidly evolving landscape of Industry 4.0. Central to the research is the integration of qualitative and quantitative methods to analyze technological trends, ensuring comprehensive identification and assessment of technological innovations. The purpose of the article is to develop an advanced methodological toolkit aimed at improving the accuracy of breakthrough technology forecasts. The study emphasizes the importance of balancing expert-driven qualitative insights with data-driven quantitative methods to form adaptive models capable of capturing emerging technological shifts. The research methodology employs an interdisciplinary approach, combining a systematic literature review, bibliometric analysis, patent mapping, text mining, and expert interviews. The empirical analysis is conducted through the study of large datasets from leading scientific databases (Scopus, Web of Science), complemented by expert assessments to contextualize key technological changes. The results confirm the effectiveness of integrating qualitative and quantitative methods in identifying technological breakthroughs. Qualitative methods provide a deeper understanding of underlying causes, socio-economic factors, and latent connections within technological developments. In contrast, quantitative methods enhance the scalability, objectivity, and reproducibility of the analysis. Together, these approaches enable the identification of critical technological directions within Industry 4.0, such as cyber-physical systems, the Internet of Things, cloud computing, and artificial intelligence. The novelty of the study lies in proposing an adaptive model for integrated forecasting, which combines qualitative methods to generate hypotheses and quantitative approaches to validate and refine them. This stepwise approach ensures a comprehensive assessment of emerging technological opportunities. The study’s value is reflected in its contribution to the development of a flexible and scalable methodology for monitoring technological trends. By accommodating the specific needs of different industries, the proposed approach offers practical applicability across national innovation policies and corporate strategies. The practical implications of the research are significant. The proposed toolkit can be utilized for early detection of technological breakthroughs, resource optimization in R&D, and enhancing the competitive advantages of businesses and regions. This integrated approach ensures the alignment of strategic decisions with technological developments, thereby supporting sustainable and forward-looking innovation management.</jats:p>