At present, concrete is one of the most used materials in the construction industry. Self-Compacting Concrete (SCC) and Fiber Reinforced Self-Compacting Concrete Concrete (FRSCC) are some of the new concrete types that have been developed to enhance the construction process. However, predicting the properties of such concrete is a challenging task due to the complex mix design and specific site requirements. An accurate computational method for predicting the properties of concrete will bring a significant change to the construction industry, particularly in the case of compressive strength. Conventional methods possess so many drawbacks, which include expensive experimental procedures and time-consuming processes. To overcome this issue, methods of artificial intelligence (AI) have proven to be a boon in bringing out accurate predictions of different properties. In this paper, different methods of AI are reviewed for special types of concrete. Also, a comparative analysis is drawn among the different methods of AI. This paper will provide future researchers with the opportunity to explore possibilities for the advancement of the concrete industry using AI techniques.