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Original Article
Big Data Analytics in Predicting Real Estate Marketing Trends
Juhi G. Kalambe1
Adarsh V. Sawarkar2
Bhagyashree Kumbhare3
Yamini B. Laxane4
12Students, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 3HOD, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 4Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.
Published Online: May-August 2025
Pages: 167-175
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250402020References
1. Ahmed, Z., & Mujtaba, G. (2020). Predictive analytics in real estate: Applications and trends. Journal of Property Investment & Finance,
38(3), 201–216. https://doi.org/10.1108/JPIF-08-2019-0112
2. Debnath, R., Bardhan, R., & Sunikka-Blank, M. (2021). A data-driven approach to predicting real estate prices using machine learning in India.
Cities, 115, 103222. https://doi.org/10.1016/j.cities.2021.103222
3. Kaur, P., & Singh, M. (2019). Big Data and analytics: Applications in real estate decision making. International Journal of Management
Studies, 6(3), 1–8. https://doi.org/10.29070/ijms/2019/6/3/1
4. National Association of Realtors (NAR). (2022). Real estate in a digital age 2022 report. Retrieved from https://www.nar.realtor/research-
and-statistics
5. IBM. (2021). Big Data analytics for real estate: Solutions for smarter property management. Retrieved from
https://www.ibm.com/analytics/real-estate-analytics
6. McKinsey Global Institute. (2018). Digital solutions for a more livable future. Retrieved from https://www.mckinsey.com/business-
functions/mckinsey-digital/our-insights
7. Glaeser, E. L., Kominers, S. D., Luca, M., & Naik, N. (2018). Big Data and Big Cities: The Promises and Limitations of Improved Measures
of Urban Life. Economic Inquiry, 56(1), 114–137. https://doi.org/10.1111/ecin.12457
8. Deloitte. (2020). 2020 Commercial Real Estate Outlook: Using digital and analytics to reshape the future. Retrieved from
https://www2.deloitte.com
38(3), 201–216. https://doi.org/10.1108/JPIF-08-2019-0112
2. Debnath, R., Bardhan, R., & Sunikka-Blank, M. (2021). A data-driven approach to predicting real estate prices using machine learning in India.
Cities, 115, 103222. https://doi.org/10.1016/j.cities.2021.103222
3. Kaur, P., & Singh, M. (2019). Big Data and analytics: Applications in real estate decision making. International Journal of Management
Studies, 6(3), 1–8. https://doi.org/10.29070/ijms/2019/6/3/1
4. National Association of Realtors (NAR). (2022). Real estate in a digital age 2022 report. Retrieved from https://www.nar.realtor/research-
and-statistics
5. IBM. (2021). Big Data analytics for real estate: Solutions for smarter property management. Retrieved from
https://www.ibm.com/analytics/real-estate-analytics
6. McKinsey Global Institute. (2018). Digital solutions for a more livable future. Retrieved from https://www.mckinsey.com/business-
functions/mckinsey-digital/our-insights
7. Glaeser, E. L., Kominers, S. D., Luca, M., & Naik, N. (2018). Big Data and Big Cities: The Promises and Limitations of Improved Measures
of Urban Life. Economic Inquiry, 56(1), 114–137. https://doi.org/10.1111/ecin.12457
8. Deloitte. (2020). 2020 Commercial Real Estate Outlook: Using digital and analytics to reshape the future. Retrieved from
https://www2.deloitte.com
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