This research aimed to integrate structured and semi-structured data of the real estate market from different sources into one database to gain new insights from previously untapped data sources, thus making the right decisions that achieve the required goals. The proposed real estate system is helping the users to find the correct and intelligent data of the properties in Oman. The methodology of the project was the waterfall model. The outcomes showed that big data analytics abled to enhance the real estate market where implemented a system for the real estate market was helped the user to find the properties easily and make the right decisions. The research built on previous studies enhanced the big data analytics to the real estate market but was limited. So, further research is necessary on the development of the real estate industry by using other technologies This research introduced the reader to big data analytics that can improve the real estate industry which transfers the real estate market to digital real estate to get a marketing strategy tailored as per the client's needs. The project value is to see the benefits of real estate market indicators to give comprehensive insights on Oman real estate.