Applications of AI techniques in the 6 key real estate domains
| AI techniques | Property development | Investment strategies | Property management | Pricing strategies | Property transactions | Real estate business |
|---|---|---|---|---|---|---|
| Random forest (RF) | Site selection and risk assessment (Abdul-Rahman et al., 2021) | Portfolio optimisation and investment risks (Hjort et al., 2022) | Automated land valuation (Li et al., 2021) | Rental price prediction (Abdul-Rahman et al., 2021) | Transaction price prediction (Chiasson et al., 2023) | Market trend forecasting (Verma et al., 2023) |
| Support vector machines (SVM) | Profitability modelling (Singh et al., 2025) | Undervalued asset detection (Hong et al., 2020) | Land use classification (Lee et al., 2024) | Rental market trend prediction (Alshammari, 2023) | Estimating transaction prices in varying market conditions (Borodulin et al., 2024) | Demand forecasting (Sun and Peng, 2022) |
| Gradient boosting (GBM) | Project valuation (Hanuma Reddy and Sriramya, 2022) | Risk-adjusted investment strategies (Hong and Kim, 2022) | Land parcel classification (Lahmiri et al., 2023) | Dynamic rental pricing (Phan, 2019) | Real-time price prediction (Rodriguez-Serrano, 2025) | Advance business valuation (Gampala et al., 2022) |
| Decision tree (DT) | Feasibility analysis (Ho et al., 2021) | Investment decision support (Jáuregui-Velarde et al., 2023) | Land registration assessment (Kmen et al., 2024) | Rental property classification (Chiasson et al., 2023) | Property transaction decision trees for quick assessments (Matey et al., 2022) | Business valuation models (Przekop, 2022) |
| XGBoost | Risk modelling and forecasting (Matey et al., 2022) | Portfolio risk management (Tran et al., 2025) | AI-driven large-scale valuation (Vargas-Calderón and Camargo, 2022) | Rental yield prediction (Numan and Yusoff, 2024) | Rapid and dynamic estimation (Chiasson et al., 2023) | Business analytics (Chou et al., 2022) |
| Regression analysis | Cost estimation and revenue forecasting (Przekop, 2022) | Market trends and ROI analysis (Singh et al., 2025) | Land valuation for taxation (Verma et al., 2023) | Rental price forecasting (Zulkifley et al., 2020) | Transaction price estimation based on past sales (Danona et al., 2023) | Business financial forecasting (Yakub et al., 2021) |
| Artificial neural networks (ANN) | Pattern identification in development (Tanamal et al., 2023) | Deep learning-based investment predictions (Rodriguez-Serrano, 2025) | Smart urban planning (Yang et al., 2023) | Non-linear rental price forecasting (Vestly et al., 2024) | High precision property transaction predictions (Abut et al., 2023) | Demand segmentation and forecasting (Hjort et al., 2022) |
| Convolutional neural networks (CNN) | Image-based feasibility analysis (Singh et al., 2022) | Visual property valuations (Sun and Peng, 2022) | Land boundary detection (Hoxha, 2024) | Property condition assessment (Yakub et al., 2021) | Transaction risk assessment using image-based property features (Abidoye et al., 2019) | Market intelligence identification (Singh et al., 2025) |
| Property development | Investment strategies | Property management | Pricing strategies | Property transactions | Real estate business | |
|---|---|---|---|---|---|---|
| Random forest ( | Site selection and risk assessment ( | Portfolio optimisation and investment risks ( | Automated land valuation ( | Rental price prediction ( | Transaction price prediction ( | Market trend forecasting ( |
| Support vector machines ( | Profitability modelling ( | Undervalued asset detection ( | Land use classification ( | Rental market trend prediction ( | Estimating transaction prices in varying market conditions ( | Demand forecasting ( |
| Gradient boosting ( | Project valuation (Hanuma Reddy and | Risk-adjusted investment strategies ( | Land parcel classification ( | Dynamic rental pricing ( | Real-time price prediction ( | Advance business valuation ( |
| Decision tree ( | Feasibility analysis ( | Investment decision support ( | Land registration assessment ( | Rental property classification ( | Property transaction decision trees for quick assessments ( | Business valuation models ( |
| XGBoost | Risk modelling and forecasting ( | Portfolio risk management ( | AI-driven large-scale valuation ( | Rental yield prediction ( | Rapid and dynamic estimation ( | Business analytics ( |
| Regression analysis | Cost estimation and revenue forecasting ( | Market trends and | Land valuation for taxation ( | Rental price forecasting ( | Transaction price estimation based on past sales ( | Business financial forecasting ( |
| Artificial neural networks ( | Pattern identification in development ( | Deep learning-based investment predictions ( | Smart urban planning ( | Non-linear rental price forecasting ( | High precision property transaction predictions ( | Demand segmentation and forecasting ( |
| Convolutional neural networks ( | Image-based feasibility analysis ( | Visual property valuations ( | Land boundary detection ( | Property condition assessment ( | Transaction risk assessment using image-based property features ( | Market intelligence identification ( |
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