<p>The development of Self-Compacting Concrete (SCC) significantly impacts the construction industry due to its exceptional flowability and compaction qualities. Consequently, understanding how this type of concrete behaves with formwork structures is crucial. This review article evaluates formwork pressure dynamics in SCC, enhancing existing knowledge through careful research and extensive coverage over the years. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart method, along with innovative analytical visualizations using chord diagrams, this study thoroughly documented and investigated every aspect of the scholarly work, from its initial stages to the current state of research. The study explores the chronological progression and integration of various perspectives on key parameters that influence the behaviour of SCC. These parameters include the rheological properties of SCC, the pouring rate, the qualities of the formwork used, and the environmental conditions affecting lateral pressure. The development of predictive algorithms, particularly machine learning techniques, to forecast formwork pressures is also emphasized in this study. This effort combines data-driven insights with practical construction parameters. In addition, a comprehensive analysis is provided of advancements in real-time monitoring technologies, ranging from basic mechanical models to sophisticated sensor networks. These developments play a crucial role in monitoring and managing formwork pressures. The detailed analysis of the collected data offers valuable insights, highlighting the importance of safety, cost efficiency, and optimization of construction workflow. This discussion underscores the need to address current shortcomings, foster interdisciplinary collaboration, and establish standardized models for prediction, aiming to enhance the practice and implementation of SCC in various formwork systems and pave the way for future research.</p>