The global market for AI applications in real estate is projected to grow from $301.58 billion in 2025 to $975.24 billion in 2029, growing at a compound annual rate of 35.5% . For foreign investors buying property in Vietnam remotely, what does AI real estate Vietnam actually change in how they search for and evaluate assets, or is it still just a marketing tool for brokers?
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The growth rate of AI in real estate is not a random estimate. From $301.58B in 2025, this market is projected to reach $975.24B by 2029, representing a compound annual growth rate of 35.5%.
Regarding valuation, AI-integrated Automated Valuation Models (AVM) show 5-7% higher accuracy compared to traditional manual valuation methods, according to research by HouseCanary. In operations, GenAI can help reduce processing time in sales workflows and property management by 20-30%.
In Vietnam, despite a later implementation than the rest of the world, platforms such as Batdongsan.com.vn, Mogi.vn, and Cafeland.vn have begun applying AI to analyze customer behavior, forecast prices, and optimize operations. This shows that AI real estate in Vietnam is not a temporary technology trend. It is a data-backed shift that is reshaping how the entire real estate industry operates.
Batdongsan.com.vn currently records over 100 million page views and 1 million listings every month. After integrating AI in 2024, the platform’s operational efficiency increased by about 20%. This improvement comes from automating listing creation processes and upgrading search tools, allowing users to access project information faster and more accurately.
Ms. Pham Thi Mien, Deputy Director of VARS IRE, noted that applying technology helps customers access information on multiple projects at the same time, helping increase deal closing rates during physical viewings. This improvement comes from automating listing creation processes and upgrading search tools, allowing users to access project information faster and more accurately.
However, the biggest challenge today lies in data quality. Mr. Tran Dat Khanh, CEO of Biggee, a real estate technology platform, stated that AI only works best when run on a large and accurate data foundation, while the real estate industry still lacks high-quality data on actual customer behavior and needs. “Technology is narrowing the gap between Vietnam and global trends, but to avoid being short-lived, the industry needs to invest properly in data and people, not just tools.”
For investors who are not in Vietnam, platforms adopting KYC (Know Your Customer) are helping increase transaction transparency, an especially important factor when most communication happens remotely.
More importantly, AI is only truly reliable when built on accurate data. This is why HCMC’s electronic property identification system under Decree 357 serves as a foundation, creating a structured data source for AI tools to operate reliably in the Vietnamese market.
In practice, buyers can increasingly connect with brokers, view project information, and schedule consultations using just their phone without being present in person. A typical example: a customer in Binh Duong booked a project viewing in Thu Duc City right after randomly watching a weekend livestream, without needing to travel before deciding to look deeper into it.
For foreign investors, now is the time to proactively leverage platforms with integrated AI and transparent data to shorten remote due diligence time, rather than relying solely on one-sided advice from a single source. (Digital Property ID).
AI does not replace the role of brokers or advisors in real estate transactions, but it is helping foreign investors significantly bridge the geographic gap when searching for and evaluating assets in HCMC. As technology and data transparency become increasingly synchronized, now is the time for investors to proactively leverage these new tools, rather than waiting for the market to change on its own.
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Mr. DONNIE KIM (Korean & English)
Associate Director
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Ms. TRẦN HOÀNG OANH (Vietnamese & English)
Director of Residential and Investment Team
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