Assessing the degree of implementation of Industry 4.0 technology in companies in a region is crucial to understand their technological progress and identify areas for improvement. In this paper, the assessment is carried out using indirect methods, such as data analysis through web scraping and the examination of publicly available information.

Web scraping involves collecting data from various online sources, such as company websites, industry platforms and relevant online databases. By extracting information related to technology adoption, utilisation and integration, valuable knowledge can be obtained on the level of implementation of Industry 4.0 technology in companies in the region.

Publicly available information, including industry reports, case studies and white papers, is also analysed to provide additional context and validation for the assessment. This information helps identify trends, best practices and benchmarks in the implementation of Industry 4.0 technology.

Through the analysis of web-based data and publicly available information, a complete picture of the 4.0 technology landscape in the region is obtained. Policy makers can use this information to develop initiatives and policies that promote the widespread adoption of these technologies. Companies can benchmark their technological progress, identify areas for improvement, and make informed decisions regarding technology investments. Researchers can analyze the collected data to understand the impact of Industry 4.0 technologies on regional economies and industries.

In summary, assessing the level of deployment of Industry 4.0 technology in companies in a region through indirect methods, such as web scraping and analysis of publicly available information, provides valuable information on the technological progress and growth potential of Industry 4.0 technology in companies. By leveraging online data sources, it is possible to track the adoption of 4.0 technologies in industries and thus design policies that foster innovation and contribute to regional economic progress.