10.  Manufacturers' views on the advantages and disadvantages of predictive maintenance

In 2024, predictive maintenance is emerging as a strategic lever for manufacturers committed to industries 4.0 and 5.0. By combining IoT sensors, artificial intelligence and Big Data, it enables them to anticipate failures and optimize equipment management. However, despite an often positive return on investment, its adoption poses a number of challenges: high investment costs, the complexity of integration on both technical and human levels, the need for data science skills and growing cybersecurity issues. This section explores the advantages and constraints associated with implementing predictive maintenance, depending on the size of the company.