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

Cambodia's real estate market in 2025 is moving from cash-and-meetings to connected, data-rich workflows: faster 4G/5G networks, the Bakong payment system and widespread PropTech - 360° virtual tours, drone photography and AI chatbots - are reshaping how properties are marketed, viewed and paid for, according to Realestate.com.kh's coverage of PropTech in Cambodia.

Local reports in Khmer Times note AI tools now answer queries, schedule viewings and reduce administrative bottlenecks, and developers are using smart-building tech to attract investors.

For agents and managers who need practical skills to ride this change, Nucamp's AI Essentials for Work teaches AI tools, prompt writing and workplace applications so teams can pilot small, measurable AI projects across a Cambodian portfolio.

“Technology is no longer optional - it's a necessity. We are living in the era of AI, and if we don't evolve, we risk being left behind.” - Prak Soly, CEO of 24H.rentals

Cambodia's AI potential in real estate is being unlocked by a one-two punch: faster, more pervasive networks and smooth digital payments that make data-driven tools and remote workflows practical across the country.

4G rollout from 2014 and the staged expansion of 5G since 2022 - backed by government plans under the Digital Economy and Society Policy Framework 2021–2035 - mean listings, virtual tours and AI chatbots can reach buyers and managers on mobile devices, while PropTech platforms benefit from lower latency and broader coverage (see the Realestate.com.kh overview of Cambodia's digital infrastructure).

At the same time, fintech has moved transactions beyond cash: mobile banking apps (ABA Mobile, Acleda, Wing, TrueMoney) and the NBC's Bakong system (launched October 2020) integrate bank accounts and e‑wallets, enabling seamless riel and dollar transfers that simplify deposits, rent and cross‑border investment.

Telecom investment is closing the gap - Smart Axiata added 475 BTS in 2024 as part of a rollout now totalling over 4,000 sites, extending service into new towns and boreys and backing network reliability that AI systems need to function in the field; read the Smart Axiata 2024 network update for details.

For real estate teams, the result is straightforward: dependable connectivity plus digital payments lower the technical friction for piloting AI use cases from remote video valuations to automated tenant billing.

“As we transition into a more digital world, access to a reliable internet connection has never been more crucial. Today, virtually all activities, including banking, entertainment, and education, rely on digital connectivity.” - Ziad Shatara, CEO of Smart Axiata

Cambodian real estate teams are focusing AI where it pays off: conversational agents that capture leads, answer FAQs and book viewings around the clock; automated valuations and predictive analytics that sharpen pricing and investment choices; virtual staging and AI-powered 3D tours that make listings more persuasive online; predictive maintenance for AC and elevators that cuts downtime in condos; and end-to-end CRM automation that turns mountains of Facebook, Telegram and website inquiries into prioritized, actionable leads.

24H.rentals' positioning as an AI-powered marketplace shows how listings and agent workflows can be linked, while telecom and platform deployments highlight the practical rise of chatbots in Cambodia - tools proven to give 24/7 response and multilingual support (see BytePlus' coverage of Cambodian chatbot rollouts).

Localized workflow automation is already delivering measurable wins in Phnom Penh: Autonoly's Phnom Penh-focused CRM automation examples demonstrate Khmer-language flows, KYC automation and heavy time savings for agencies.

Picture a midnight renter messaging about a unit and getting an instant Khmer reply that books a viewing and creates a qualified lead in the CRM - small pilots like that are the fastest path from curiosity to closed deal in 2025.

Cambodia's PropTech ecosystem is coalescing around a few practical players and an expanding vendor stack: platforms like 24H.rentals - AI-powered property rental platform in Cambodia lead with verified listings, a free AI chatbot, an automatic commission‑management system for agents and even incentives (new registrations receive a $10 credit), while national portals such as Realestate.com.kh PropTech overview in Cambodia anchor the market with broad reach, 360° virtual tours, drone imagery and ties into digital payments (ABA Mobile, Acleda, Wing, TrueMoney and Bakong) that make online bookings and deposits frictionless.

Vendors now bundle CRM automation, Khmer‑language chat flows and predictive maintenance tools into turnkey offers, so agencies can run a pilot that turns Facebook and Telegram inquiries into scheduled viewings and automated billing.

The result is a vendor ecosystem built for speed: affordable pilots from local startups and international partners that prove value fast, rather than long, expensive integrations - a setup that lets agents capture leads around the clock and keeps commissions transparent across teams.

“If we are not up to date with technology, we will face many problems, especially in the competitive market.”

Khmer-language AI is rapidly shifting from a promise into practical tools that real estate teams can use - thanks to the Cambodia–Singapore SEA‑LION partnership and an open-source push that aims to put Khmer LLMs into government, schools and startups; see the Khmer Times coverage of the MoU and the technical SEA‑LION updates for developers.

Local models will make property search, leasing and tenant support genuinely accessible in Khmer (imagine a farmer in Kampong Thom texting a simple Khmer query and getting an instant, trustworthy reply about rental paperwork or permit steps), while also powering Khmer voice‑to‑text, translation and chatbots that cut friction for elderly users and rural clients.

Building these models requires targeted data work - converting PDFs and subtitles, transcribing speech and cleaning scarce Khmer text - plus investment in local compute and training so models don't “hallucinate” or misread Khmer script.

Open releases like SEA‑LION v3/v3.5 mean agencies and PropTech vendors can experiment with Khmer‑aware LLMs, pilot lightweight Khmer chat flows, and train staff on safe, practical workflows without waiting years for proprietary solutions.

“The future of AI in Cambodia will be written in Khmer, and now, finally, we are building the pen.”

Real-world pilots in Phnom Penh and Siem Reap show AI moving from promise to profit: Autonoly's Phnom Penh CRM automation has impacted 150+ local firms and routinely turns a typical 48‑hour lead response into about 2 hours, saving roughly 8 staff hours a day and ~$2,500 monthly per company while boosting CRM efficiency by 94% - so a midnight inquiry can now become a booked viewing before sunrise; read the complete Autonoly Phnom Penh guide for templates and ROI examples.

Agency-level wins mirror those numbers: BytePlus's case notes for Cambodia highlight “Phnom Penh Realty” improving lead conversion ~30% and halving response times, while Siem Reap Properties cut administrative load by ~40% and raised tenant retention ~25% by deploying AI property‑management tools and predictive workflows.

Together these case studies show two clear lessons for Cambodian teams: start with targeted pilots (lead capture, automated follow‑ups, maintenance ticketing) and measure simple KPIs - response time, closed deals and maintenance turnaround - to prove value quickly and scale across portfolios.

“Autonoly's machine learning adapts to our unique business patterns remarkably well.” - Isabella Rodriguez, Data Science Manager, PatternAI

A practical, Cambodia‑fit roadmap starts with focus: pick 1–3 high‑impact use cases (lead capture/chatbots, automated valuations, predictive maintenance) and validate them with short, measurable pilots rather than big upfront projects - a “pilot‑first” digital strategy is essential for tight budgets and fast learning (see APPWRK's step‑by‑step guide and the Nucamp AI Essentials for Work pilot-first recommendation).

Next, build the minimum data plumbing: unify CRM, listings, and transaction data so models have clean inputs, then choose buy vs.

build and a hosting model that matches your security needs (BytePlus ModelArk and vendor options are practical starting points). Run controlled pilots, track simple KPIs (response time, lead conversion, maintenance turnaround), and iterate: test in one city or portfolio segment, refine prompts and integrations, then expand.

Parallel to pilots, invest in governance and responsible‑AI checklists - privacy, explainability and compliance - so tools scale without surprise (EY's gen‑AI playbook outlines governance and talent steps).

Finally, train frontline staff on new workflows so automation augments agents, not replaces them; the payoff is tangible and vivid - a midnight renter gets an instant Khmer reply that books a viewing before sunrise, turning overnight inquiries into real, measurable deals.

Regulation and data governance are now the backbone of safe AI adoption in Cambodia's real estate sector: the government's Digital Economy and Society Policy Framework (2021–2035) lays out the building blocks - connectivity, payment systems and building trust and confidence through responsive legal frameworks and cybersecurity - so agencies can scale chatbots, valuation models and tenant‑data workflows without exposing clients to unnecessary risk.

Practical governance means three things for Cambodian firms: enforceable data‑handling rules (who stores tenant IDs and how long), clear cybersecurity standards for cloud and on‑premise systems, and explainability controls so automated decisions - like price suggestions or tenant screening - can be audited.

Those safeguards matter because trust is fragile: survey data shows 52.9% of Cambodians express strong concern about personal data security and over half report data‑breach experience, a vivid reminder that handing tenant records to an unvetted chatbot can feel like leaving the front door unlocked overnight.

Policymakers, platform vendors and agencies should follow the Framework's risk‑management and monitoring guidance, embed privacy-by-design in pilots, and partner with trusted public bodies to build literacy and compliance - steps that turn regulation from a hurdle into a competitive advantage for firms that protect clients first.

Adopting AI in Cambodia's real estate sector brings real upside but also clear, local hurdles: upfront cost is the single biggest blocker - 45% of organisations cite budget as a primary barrier - and practical implementations can range from modest SaaS subscriptions to custom projects that often start in the tens of thousands of dollars, so small agencies must plan carefully (see the Knight Frank analysis and cost ranges reported by industry guides).

Other common challenges in Cambodia include messy, fragmented listing and lease data that frustrates AVMs and analytics; skills and change‑management gaps that slow adoption; and legitimate privacy concerns in a market still wary after data incidents - handing tenant records to an unvetted chatbot can feel like leaving the front door unlocked overnight.

Mitigations are straightforward and proven: run pilot‑first, low‑cost trials using cloud or token‑based platforms, prioritise API‑first vendors and Khmer‑aware tools, and invest in short, targeted upskilling so staff can supervise models instead of being replaced.

Practical playbooks from local and regional sources recommend phased pilots, vendor due diligence, and privacy‑by‑design governance (see Realestate.com.kh and the MindInventory implementation checklist) so firms convert pilot wins into portfolio scale without overpaying or exposing client data.

Conclusion: Cambodia's real estate sector is poised to move from early experiments to broad, measured adoption of AI - driven by Khmer‑aware models, stronger networks, and clearer rules that turn pilots into profits.

2025's picture is pragmatic: expect more Khmer‑language chatbots and local LLMs to make listings and tenancy services accessible from Phnom Penh high‑rises to rural communes (as researchers note in the

AI landscape in Cambodia

analysis), while pilots that prioritize lead capture, predictive maintenance and automated valuations will scale fastest when paired with tidy data plumbing and payment links like Bakong.

Regulation and financial oversight are catching up - AmCham coverage shows banks and regulators are working toward AI governance that balances innovation with customer protection - so firms that bake privacy‑by‑design into pilots will win trust as well as market share.

Technology stacks such as ModelArk‑style deployment options and tokenized billing lower operating friction, and practical upskilling matters: short, workplace‑focused training (for example, the Nucamp AI Essentials for Work bootcamp) equips agents and managers to write prompts, supervise models and run pilot‑first projects that measure response time, conversions and maintenance uptime.

The net effect is a new operating rhythm for Cambodian agencies - small, measurable pilots that protect clients, upskill teams and turn midnight Khmer messages into scheduled viewings before sunrise; the future is local, regulated and relentlessly practical.