The success parameters for any projects are jeopardized by risk factors. The main barriers to effective risk management are related to the process by itself (identifying, analyzing, responding and monitoring), and with the parameters related to project risk. This paper intends to determine factors for identifying and analyzing risks in project management in automaker digital manufacturing projects. The main objective of the research is to provide a study of risk identification and classification with a list of authors that studied that subject, where the project manager can efficiently use during the project planning, regarding the next step of project risk management. The research design is desktop study, based on the process of a critical literature review with a focus on information systems and business research papers, books, case study from a manufacturer and theoretical articles, etc. Data analysis use the mechanism of triangulation for producing an assessment exercise of the digital manufacturing practices adopted by the company. The manufacturing engineering team could insert the new model into their day by day work reaching opportunities and mitigating threats/risks. The findings bring the risk structure (risk ontology) where the risks are classified in the following aspects: technical risks, people risks, organizational risks and vendors risks. Risks need to be managed from the beginning by identifying them, assessing their likelihood and possible impact, and preparing an overall action plan to deal with them.