The Complete Guide to Using AI in the Real Estate Industry in Viet Nam in 2025

AI matters for real estate in Viet Nam in 2025 because it turns slow, paper-heavy decisions into instant, data-driven insights - buyers now check AI apps at condo launches to vet developers and resale risk, forcing developers to publish clean, standardised project data and reshaping sales and due diligence practices (see reports on Vietnam's AI landscape).

Beyond sales, AI optimises green industrial buildings, energy and tenant comfort while cutting operating costs, and proptech platforms speed valuations, virtual tours and automated property management across Hanoi and HCM City.

With strong government backing and a fast-growing startup scene, real estate professionals who learn practical prompt-writing and workplace AI skills (try Nucamp's AI Essentials for Work bootcamp registration) will be best placed to capture these efficiency and sustainability gains.

AI is anchoring a bullish, if selective, recovery in Viet Nam's 2025 property cycle: proptech and predictive analytics are speeding deals, helping foreign capital target industrial parks and city-edge housing where real demand and infrastructure intersect.

Investors are already circling projects - researchers put the 2025 total real estate market at about US$47.59 billion with Industrial & Logistics alone roughly US$19.07 billion - while M&A shows real estate climbing to 44% of deal value in early‑2025, a sign that buyers are using data-driven screens to pick assets fast (see InvestVietnam's 2025 market analysis and Vietnam Briefing's M&A roundup).

On the ground, Q1 reports note condo prices in HCMC up about 6% and secondary prices near Metro Line 1 rising as much as 20% YoY - price swings that AI-powered valuation engines and tenant‑demand models can now flag in hours rather than quarters - while a national push into data and funding (including a large National Data Development Fund and 300+ AI startups) is feeding smarter site-selection and green design choices for logistics and factories (see Savills on AI for green industrial real estate).

The net effect: faster underwriting, sharper micro‑market signals, and clearer paths for developers who pair sustainability upgrades with AI tools to win premium tenants and institutional capital.

“The market has had a relatively smooth start to the year. The U.S.'s unexpected announcement of 46% reciprocal tax policy on certain Vietnamese exports has triggered short-term concerns. That said, Vietnam still maintains its solid position as an attractive investment destination in the region, thanks to its labor force, affordable production costs, strategic location, and effective FDI incentives. These advantages will continue to underpin the real estate sector's recovery. The Vietnamese Government has set a clear path to the nation's success and with their experiences in negotiation, Vietnam will get the best outcomes from this shift in international trade.” – David Jackson, Principal and CEO, Avison Young Vietnam.

The Vietnam AI Economy Report 2025 should be read as a practical warning and roadmap for property professionals: data and compute are about to become as important as location, so teams that adopt AI for site selection, predictive rents and tenant-demand mapping will outpace slower rivals; investors will follow clearer, AI‑driven signals into logistics and city‑edge housing as Vietnam's AI market scales into the billions (see InvestVietnam's market analysis) and a USD 38.4 billion National Data Development Fund plus 300+ AI startups mobilise new datasets and tooling.

Expect faster valuations, multilingual buyer chatbots for international enquiries, and smarter green industrial design as hyperscale data centres, 5G rollout and “Make in Vietnam” models (including plans for Vietnamese LLMs) lower the technical bar for applied proptech.

The headline for brokers and asset managers is simple and visceral: imagine national data lakes and algorithms turning months of due diligence into hours of insight - those who pair basic prompt skills, targeted AI pilots and public‑private partnerships win better tenants and pricier exits.

For practical next steps, prioritise accessible AI pilots (tenant demand heatmaps, energy optimisation, multilingual lead handling) and watch policy changes under the DTI/NDDF stack that will shape data access and compliance.

“The report represents the first comprehensive overview of Vietnam's AI economy. It draws valuable lessons from international experiences, analyses sector-specific opportunities and outlines strategic pillars essential for developing a vibrant AI ecosystem in Vietnam.” – Vu Quoc Huy, NIC Director

Concrete proof that AI works in Viet Nam's property market is showing up in everyday scenes: at a Di An condominium launch buyers quietly pull out phones and run generative-AI checks that size up developers, planning and resale risk in under a minute, and an investor in Vung Tau skipped the sales pitch to consult ChatGPT on the spot - real-world examples chronicled in recent coverage (see VietnamNet report on homebuyers using AI in Vietnam real estate market and OpenGovAsia analysis of smart tools reshaping Vietnam real estate decisions).

Developers are responding by publishing cleaner, standardised project data so AI outputs are reliable, while market researchers say tasks that once took days - site visits, planning review, transport-link analysis - can now be summarised in minutes.

Beyond sales, AI is powering smarter marketing content, multilingual chatbots for overseas buyers, and even smart-city video analytics for faster incident detection and cost-cutting in operations, together forming a pragmatic, co‑existence model where algorithms speed insight and humans retain judgement.

ChatGPT is not yet a threat to the real estate market as it can handle information quickly and effectively, but it's here to support, not replace, human advisors.

Across Viet Nam's property lifecycle AI is already moving from pilot to everyday toolkit: neural-network AVMs now push valuation accuracy toward 87%, speeding pricing and underwriting that once took weeks (see the neural-network study), while GPT-style tools automate SEO-rich listings and multilingual chatbots handle overseas buyer enquiries round-the-clock; at launches in Di An buyers grab their phones and run instant AI checks on developers, planning and resale risk, forcing cleaner project data and faster due diligence (read the Di An launch coverage).

On the operations side, AI runs tenant-comfort controls, energy optimisation and predictive maintenance in industrial parks and logistics hubs - helping lower operating costs and smooth green-certification workflows that win premium rents (Savills outlines these energy and building-management gains).

Construction and asset teams use sensors and BIM monitoring to detect schedule drift and reduce monsoon delays, and planners combine national data lakes with edge compute and 5G to refine site selection and micro‑market demand maps.

The practical payoff is simple and tangible: fewer surprise costs, faster deal cycles, and buildings that rent for more because they're greener, kinder to tenants, and easier for managers to run.

“For industrial developments, AI can play a crucial role in energy management, building automation, resource management, and design enhancement. AI algorithms can monitor and enhance operational efficiency by controlling lighting, HVAC, and other systems in real time. AI also assists in monitoring resource usage (water, energy) and predicting maintenance needs, leading to reduced waste and costs. Additionally, generative design and AI-powered simulations help architects and developers create buildings that are more energy-efficient and environmentally friendly.” - Thomas Rooney, Associate Director, Industrial Services at Savills Hanoi

AI is rewriting buyer and broker behaviour across Viet Nam - picture a Di An condominium launch where attendees listen to sales pitches while quietly running AI checks on their phones to vet developers, planning and resale risk, a moment that has pushed developers to publish standardised, error‑free project data and made multilingual chatbots and GPT-style assistants essential for servicing overseas Vietnamese and foreign buyers; recent coverage captures these shifts well (see reporting from OpenGovAsia report: AI tools reshaping real estate decisions in Vietnam (June 2025) and VietnamNet article: Homebuyers and sellers using AI in Vietnam real estate).

For brokers the “so what?” is concrete: routine research, pricing comps and legal checks that once took days are now available in minutes via generative AI and local LLMs (ViGPT, PhoGPT), so human intermediaries must pivot toward higher‑value work - relationship-building, negotiation and emotional intelligence - while adopting AI for lead qualification, SEO-rich listings and 24/7 multilingual support to stay competitive (see a practical GPT overview at BytePlus practical overview: GPT and generative AI applications).

The result is healthier transparency and faster decision cycles, but the market still prizes trusted advisors for complex deals and judgment calls.

“In 2024, I used an AI app for the first time to assess a real estate project. It provided me with high-quality advice and after a year, I earned a decent return. Since then, I've preferred AI analysis over broker consultations.”

AI is becoming the backbone of green industrial real estate and logistics in Viet Nam by tying operational efficiency to sustainability: AI-driven energy management, automated tenant comfort controls and resource optimisation cut costs and help properties meet green standards, while platforms that simplify LEED/BREEAM/Lotus compliance shorten the road to certification (see AI-driven energy management and tenant comfort systems for industrial real estate in Vietnam).

Government moves to promote eco-industrial parks and preferential policies are creating fertile ground for these technologies to scale - MPI-backed EIP pilots and incentives are encouraging developers and tenants to combine AI with circular‑economy practices (read more on Vietnam eco-industrial parks and government incentives).

On the ground, rooftop solar is already supplementing park power - projects in Thang Long IPs deployed 5 MWp systems and aim to scale toward 100 MWp by 2030 - so imagine industrial rooftops dotted with panels feeding AI-managed microgrids that trim bills and emissions while predictive maintenance and smart logistics reduce downtime: a tangible, business‑case win for landlords, occupiers and the climate (see the Sumitomo rooftop solar program).

“There are many factors driving site selection, but growing constraints on power in Tier-1 markets mean new entrants are now considering sites in less saturated locations, improving speed to market. We expect significant growth of AI-led green industrial projects in Vietnam, especially in emerging Tier-2 provinces outside the traditional hubs, where acquiring large land parcels for AI-ready facilities is easier.”

Regulation, data and governance now sit at the centre of any AI plan for Viet Nam real estate: businesses must navigate a fast-evolving mix of national strategy, data protection rules and targeted incentives that together aim to unlock AI while limiting harms.

The government's National AI Strategy (Decision No.127/2021) frames AI as a pillar of industrial policy, while sectoral moves - from Decree No.13/2023 on personal data protection (detailed consent rules, DPO duties and mandatory impact assessments) to the Draft Law on the Digital Technology Industry with its AI-specific rules, labelling requirements and a two‑year regulatory sandbox - create a compliance landscape that is permissive but procedural.

Practical implications for property teams are immediate: lawful use of tenant and market data will often require clear notice, opt-out paths and six‑monthly impact updates for R&D; sandbox pilots can test multilingual chatbots or valuation models with limited liability if reporting rules are followed; and incentives such as the Investment Support Fund (Decree No.182/2024) can subsidise R&D, training and fixed‑asset costs for AI projects.

For investors and brokers, the “so‑what” is stark: AI pilots that ignore Vietnam's PD and sandbox rules risk heavy sanctions (including fines that can reach a percentage of local revenues and temporary suspensions), whereas projects that align with the national strategy and compliance checkpoints gain preferential support, clearer access to data, and a safer path to scale - see a practical legal update on Vietnam's AI and personal data regime and an investor-focused regulatory overview for more detail.

Beginners should start small and concrete: pick one high‑value use case (automated valuations, a multilingual lead‑qualifying chatbot or an energy/tenant‑comfort pilot), gather the minimum clean datasets, and run a short pilot so that tools prove value before scaling - this is the same playbook experts recommend when moving AI from “nice to have” to everyday work (see the step‑by‑step rollout in the Vietnam AI business guide).

On the tech side, choose pragmatic platforms for LLMs and deployments (BytePlus's ModelArk and related offerings streamline hosting and monitoring) and partner with local app teams if you need mobile or chatbot builds (app development firms in Vietnam can fast‑track MVPs).

Train one cross‑functional squad (sales + ops + legal) on prompt basics and model limits, measure a few sharp KPIs (time saved on due diligence, lead conversion, energy kWh saved) and iterate in fortnightly cycles; if a launch turnout looks like Di An - buyers pulling phones to run AI checks - your pilot should already be answering those questions.

Finally, bake compliance into the plan early: use Vietnam's sandbox routes and align with DTI/PDPL timelines so pilots access public datasets safely and can scale with incentives rather than regulatory risk (see the strategic guide for legal and funding steps for 2025).

“In 2024, I used an AI app for the first time to assess a real estate project. It provided me with high-quality advice and after a year, I earned a decent return. Since then, I've preferred AI analysis over broker consultations.”

Strategic guide to launching an AI business in Vietnam for 2025 - InvestVietnam BytePlus ModelArk platform and deployment tools for LLM hosting OpenGovAsia report on AI checks in Di An real estate

The big picture is clear: AI will be a force-multiplier for Viet Nam's real estate sector if policy momentum, infrastructure and practical skills come together - regulatory momentum in 2024–25 (draft DTI rules, PDPL moves) and big bets like a National Data Development Fund are lowering the barriers for scaled proptech, faster valuations and green industrial upgrades, while everyday scenes (buyers at Di An launches pulling out phones to run instant AI checks) show demand for timely, trustworthy data; for property teams that means pairing compliance-aware pilots with real prompt-writing and tool skills (start with practical courses such as Nucamp's AI Essentials for Work bootcamp) and tracking market signals that point to logistics, city‑edge housing and sustainable industrial parks as the highest-probability winners (see regulatory and investor guidance at Vietnam Briefing on Vietnam's AI sector).

Risks remain - talent shortages, energy constraints in Tier‑1 hubs and data governance headaches - but the roadmap is pragmatic: run tight two‑to‑eight week pilots (AVMs, multilingual lead bots, energy-optimisation), measure conversion and kWh savings, use sandbox routes where available, and scale what clearly cuts time and cost; the payoff is faster underwriting, greener buildings that command premiums, and a market where informed human judgement amplified by AI becomes the competitive edge.

“For industrial developments, AI can play a crucial role in energy management, building automation, resource management, and design enhancement. AI algorithms can monitor and enhance operational efficiency by controlling lighting, HVAC, and other systems in real time. AI also assists in monitoring resource usage (water, energy) and predicting maintenance needs, leading to reduced waste and costs. Additionally, generative design and AI-powered simulations help architects and developers create buildings that are more energy-efficient and environmentally friendly.” - Thomas Rooney, Associate Director, Industrial Services at Savills Hanoi