Economic Analysis of the Real Estate Market Using Artificial Intelligence

This article examines the transformative role of artificial intelligence (AI) in the economic analysis of the real estate market, spanning valuation, financing, development, tenant management, and beyond. Leveraging machine learning, predictive analytics, and big data, AI enhances precision in pricing, risk assessment, and market forecasting, yielding economic benefits such as reduced transaction costs, increased rental yields, and improved investment returns. The study highlights efficiency gains—e.g., ۱۸% cost reductions in operations and ۱۵% higher mortgage originations—while addressing challenges like data quality, implementation costs, and ethical risks including algorithmic bias. Across ۲۰ distinct applications, AI fosters market stability, liquidity, and sustainability, yet its scalability hinges on standardized frameworks and equitable accessThis article examines the transformative role of artificial intelligence (AI) in the economic analysis of the real estate market, spanning valuation, financing, development, tenant management, and beyond. Leveraging machine learning, predictive analytics, and big data, AI enhances precision in pricing, risk assessment, and market forecasting, yielding economic benefits such as reduced transaction costs, increased rental yields, and improved investment returns. The study highlights efficiency gains—e.g., ۱۸% cost reductions in operations and ۱۵% higher mortgage originations—while addressing challenges like data quality, implementation costs, and ethical risks including algorithmic bias. Across ۲۰ distinct applications, AI fosters market stability, liquidity, and sustainability, yet its scalability hinges on standardized frameworks and equitable access

کلیدواژه ها:

Artificial Intelligence ، Real Estate Economics ، Predictive Analytics ، Machine Learning ، Property Valuation