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NextGen Data Center (DAMAC Digital) Navanakorn

Navanakorn Industrial Estate, Khlong Luang, Pathum Thani, Thailand · Bangkok metro market · location approximate to district level

NextGen Data Center (DAMAC Digital) Navanakorn is a data center project in Navanakorn Industrial Estate, Khlong Luang, Thailand, operated by NextGen Data Center and Cloud Services. It is at the land and permitting stage. It is planned for 84 MW of IT load.

Latest change on record: entered the record as land and permitting on 10 November 2025. Record last checked against its sources on 21 October 2026.

Open on the mapSuggest a correction
Stage
Land and permitting
Planned IT load
84 MW
Running now
Not disclosed
Operators rarely publish this
Operator
NextGen Data Center and Cloud Services
Colocation
AI workloads
Confirmed
Evidence grade
Corroborated
Will it get built?Open question2 of 7 gates passed
✓ Land secured○ Power arranged○ Approvals granted✓ Money committed○ Tenant or own use○ Builder appointed○ Construction started

Next gate to watch: Power arranged.

Your call. Will it be built?

Build odds is ArusGrid's reading of the public record, not a forecast, a rating or advice. It counts the gates this project has passed in public sources. Private progress does not show, a passed gate can be undone, and projects that pass every gate still stop. The method has not yet been tested against outcomes. How it works.

How Thailand approves, powers and taxes data centers is on Data center rules in Thailand.

Thailand, 2026-09-24. Thailand asked developers on 4 September 2026 to pause 49 data centres under construction and froze 117 pending approvals while it writes new rules, due by mid October. The government has said it cannot legally enforce the pause. No list of affected projects has been published, so no Thai project has changed stage on this basis. A separate data centre electricity tariff has been created with no rate set.

Where it sits

Bangkok metro holds 23 active projects with 893 MW of planned IT load between them, and NextGen Data Center (DAMAC Digital) Navanakorn ranks 4th by planned capacity. Of those, 6 are operational, 3 are operational and expanding, 5 are under construction, 2 are being commissioned, 3 are at the land and permitting stage and 4 are announced only. Published colocation vacancy in Bangkok metro was 22.1% as of June 2026, on 113 MW of operational colocation capacity as counted by Cushman & Wakefield. Vacancy excludes hyperscaler self-build.

DAMAC Digital (EDGNEX) has 2 others in Thailand and 4 projects elsewhere in the dataset tracked by ArusGrid, including Skyline Data Center (DAMAC/EDGNEX) Chachoengsao and DAMAC Digital BKK01 (EDGNEX / Proen JV), Rama 9. Named funding comes from DAMAC Group on the equity side. No user of the capacity is on the public record as of 2026-10-01, after a check of operator, landlord, contractor, regulator and lender documents. Most colocation leases are confidential, so this says nothing about occupancy.

The stage was recorded as at the land and permitting stage on 10 November 2025. The money on record is THB 26.7bn (about US$826m) as of November 2025, a government approval ceiling.

Grid power for a large industrial user in Thailand costs about US$0.10 per kWh as of July 2026, the country figure ArusGrid applies where a site has no published rate. The US export control position for advanced AI chips in Thailand, as of 27 September 2026, is recorded as “No US destination-based licence requirement as enforced”. ArusGrid holds 3 public sources for this project, and last checked the record on 21 October 2026.

How well evidenced is it

Construction or financing is evidenced, or several independent signals agree. The rules are fixed and published on the Methodology page.

Named funderYes
Disclosed clientNo
Committed or approved capitalYes
Dated, sized phaseNo
Three or more sourcesYes
Dated source in the last 24 monthsNo

AI workloads

StatusConfirmed

BOI filing specifies a maximum 140kW per server cabinet - far above the 40kW/rack AI threshold; explicitly framed as supporting AI development.

Access to AI chips

GradeNo US licence required

This country carries no US destination-based licence requirement for advanced AI chips as the rules are enforced today. Access is a commercial matter between the project and its vendors. Criteria are published on the Methodology page.

US licence required for this destination as enforcedNo
A party headquartered in China or Macau on the projectNo
Country-level export frameworkNo
A party named in a government authorisationNo
US approved operator or confirmed client on the projectNo
Named chip-vendor partnershipNo

No US destination-based licence requirement as enforced · No US destination-based licence requirement as enforced (2026-09-27) source

Stage history

2025-11-10Land and permitting · technode.global

Who is behind it

OperatorNextGen Data Center and Cloud Services · Colocation
Funder, EquityDAMAC Group

Who uses the compute

Checked on 2026-10-01. No user of this capacity is on the public record. ArusGrid read the operator's releases, the landlord's and contractors' exchange filings, regulator and lender documents and interconnection records. Most colocation leases are confidential, so this says nothing about occupancy.

Money at this site

Approved by a government investment agency, 2025-11THB 26.7bn (about US$826m)

An approval figure is an incentive ceiling. It often covers a first phase and can exclude land or IT equipment.

Colocation price per kW of IT load per month

No published price band exists for Thailand, and ArusGrid does not estimate from the regional benchmark alone. What was searched is listed on the Colo prices page.

Land
Industrial estateNavanakorn Industrial Estate · Nov 2025 Reported source ↗
BOI approval names the estate only

Sources checked 2026-10-21

  1. mingtiandi.com
  2. datacentermap.com
  3. technode.global

More in Bangkok metro

Also run by DAMAC Digital (EDGNEX)

Planned MW is IT load, the power available to servers, unless marked otherwise. Running capacity is rarely published, so a missing figure means undisclosed. Definitions, sourcing standards and evidence rules are on the Methodology page. Data is CC BY-NC 4.0. Corrections go to corrections@arusgrid.com. Dataset updated 2026-10-18.