Big data is revolutionizing the real estate industry by allowing firms to make more informed and precise decisions based on real-time data analysis rather than solely relying on professional experience and historical trends. This technology enables a granular assessment of neighborhoods, identifying key differentiators such as crime rates and future infrastructure projects, which helps real estate investment trusts (REITs) improve returns and dividends for shareholders. Alternative data sources from social media and search engines are increasingly used to predict future trends in buying, living, and investment, enhancing the predictive power of real estate valuations. The application of big data extends to property evaluations, marketing, sales, development, risk mitigation, and digital management processes, offering benefits to investors, retail buyers, sellers, and builders by helping them understand market trends, optimize pricing strategies, and identify investment opportunities. Despite its advantages, the challenge lies in ensuring the availability, quality, and timeliness of data, prompting many firms to automate their data collection processes to maintain competitive advantage. As big data continues to shape the future of real estate, it is expected to influence decisions across various industry segments, from investment choices to architectural design, ultimately driving a more data-informed approach to real estate management and development.