Where do ai and machine learning occupiers lease office space in Phnom Penh?

Most cluster in Boeung Keng Kang. Rent runs ~264 USD/sqft ($25 USD) for trophy and prime stock.

What fit-out spec do ai and machine learning occupiers run in Phnom Penh?

Typically high-end at $110–165/sqft.

How much office space per seat should a ai and machine learning occupier plan in Phnom Penh?

Plan ~150 sqft per seat blended. A 100-person team typically takes 15,000 sqft.

What NAICS codes describe the ai and machine learning vertical?

Representative NAICS 2022 codes: 541715, 541511, 518210.

What is the talent index in Phnom Penh?

60/100. Use the city profile for full detail.

AI and machine learning occupiers in Phnom Penh typically cluster in Boeung Keng Kang, plan ~150 sqft per seat at high-end fit-out ($110–165/sqft), and pay around 264 USD/sqft ($25 USD) on Class A.

Preferred submarket: Boeung Keng Kang.
Typical fit-out spec: High-end ($110–165/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 264 USD/sqft ($25 USD).
Typical lease: 3 years with 6 months rent-free.
Talent depth in Phnom Penh: 60/100.

AI and machine learning office space in Phnom Penh

AI and machine learning occupiers in Phnom Penh typically cluster in Boeung Keng Kang, plan ~150 sqft per seat at high-end fit-out">fit-out ($110–165/sqft), and pay around 264 USD/sqft ($25 USD) on Class A.

TL;DR

Preferred submarket: Boeung Keng Kang.
Typical fit-out spec: High-end ($110–165/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 264 USD/sqft ($25 USD).
Typical lease: 3 years with 6 months rent-free.
Talent depth in Phnom Penh: 60/100.

Where they cluster

AI and machine learning occupiers in Phnom Penh typically anchor in Boeung Keng Kang. Embassies, NGOs, expat services, professional services.

What they pay

Class A rent in Phnom Penh runs 264 USD/sqft ($25 USD) on a 3-year lease with 6 months free. Prime submarkets sit at or modestly above the city index.

Spec and fit-out

Typical ai and machine learning fit-out targets high-end specification at $110–165/sqft. Branded reception, full client-facing programming, premium furniture, and specialist AV are standard.

Headcount sizing

Plan around 150 sqft per seat blended (workstation + circulation + amenity). A 100-headcount ai office in Phnom Penh typically targets 15,000 sqft of leasable area.

Talent angle

Frontier research talent clusters near top-tier ML programs and adjacent compute / GPU supply; loft-style trophy stock is the normal fit. Emerging finance, BPO, garment, and services talent. Royal University of Phnom Penh, Institute of Technology of Cambodia, and ACLEDA Institute anchor the local pipeline. Multilingual (Khmer, English, Chinese, French) talent supports FDI tenancy.

Tax and lease context

Headline corporate tax: 20%. Cambodian gross structure (rent inclusive of management fees). Rents typically quoted in USD/sqm/month. 3-5 year terms standard. Rent-free of 4-8 months on 3-year terms plus USD 100-300/sqm TI typical.

Key facts

city	Phnom Penh
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	Boeung Keng Kang
preferredFitoutSpec	High-end
fitoutBand	$110–165/sqft
sqftPerSeat	150
classARentLocal	264 USD/sqft/yr
classARentUsd	$25/sqft/yr
vacancyPct	22.4%
typicalLeaseYears	3
typicalRentFreeMonths	6
talentIndex	60
corporateTaxPct	20%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Phnom Penh?: Most cluster in Boeung Keng Kang. Rent runs ~264 USD/sqft ($25 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Phnom Penh?: Typically high-end at $110–165/sqft.
How much office space per seat should a ai and machine learning occupier plan in Phnom Penh?: Plan ~150 sqft per seat blended. A 100-person team typically takes 15,000 sqft.
What NAICS codes describe the ai and machine learning vertical?: Representative NAICS 2022 codes: 541715, 541511, 518210.
What is the talent index in Phnom Penh?: 60/100. Use the city profile for full detail.

Editorial provenance

Reviewed by Class A Atlas Editorial Desk — House byline · global editorial team. Last updated 2026-04-15. See our methodology and editorial standards.

Primary sources for this page

CBRE Marketview reports — CBRE
JLL Office Insight — JLL
Cushman & Wakefield Marketbeat — Cushman & Wakefield
Savills World Research — Savills
Colliers Global Office Outlook — Colliers

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