Many of the previous research shows that ups and downs of real estate prices are affected by the foreigners' investments. Some countries such as Australia have implement relevant measures to lower the incentives of foreigners to invest in their housing sector. The objective of this paper is to examine the major determinants of FDI inflow in real estate sector in five countries, i.e. Korea, Japan, Australia, Canada and the UK via Artificial neural networks. It shall investigate the relationship between foreign direct investment inflow in real estate sector, residential property price index, gross domestic product per capita, global house price index growth rate, global housing price index, effective exchange rate, housing price to income index and natural disaster. The results show that there are different determinants in different countries. While global housing price index plays the most important role in foreign direct investment inflow in Korea, Japan and UK, Gross domestic product and house price to income ratio is the most important factor in Canada and Australia respectively.