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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

References

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

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