Who is Investing in Bangkok as an AI Infrastructure Hub?
Bangkok is establishing itself as Southeast Asia’s second-largest data centre market, with total IT capacity exceeding 2.5 GW.
The growth is a change from Thailand’s traditional retail-focused facilities to large-scale campus developments.
So far, development has expanded beyond Bangkok’s urban centre into the Eastern Economic Corridor, where land availability and competitive pricing attract international operators.
“Given the scale of development expected this year, Chonburi’s capacity is tightening rapidly,” says Nicole Seah, Research Analyst at DC Byte, a data centre market intelligence firm.
“Securing large-scale power allocations for 2026 may prove increasingly challenging, making early engagement essential.”
Between 2019 and 2024, Bangkok’s total IT capacity grew by more than 2,000% – and pipeline capacity recorded a compound annual growth rate of approximately 40% during this period.
What enterprises are investing in Southeast Asia’s hyperscaler investment
Amazon Web Services (AWS) is investing US$5bn in Thai data centre infrastructure.
The commitment is part of a broader hyperscaler expansion that includes Google’s US$1bn facility in Chonburi province and Microsoft’s first Thailand cloud region.
Additionally, Google selected Chonburi for its data centre investment due to the province’s infrastructure links and proximity to manufacturing hubs.
Microsoft also launched its Thailand cloud region to serve enterprise customers requiring local data residency.
Now, Chinese technology companies are matching Western investment levels – with Huawei establishing local operations alongside Alibaba and Tencent, the social media and gaming company.
ByteDance, which operates TikTok, is also pledging US$8.8bn for regional data centre development.
As a result, international data centre operators are responding to hyperscaler demand.
STT GDC, the Singapore-based infrastructure provider and Equinix, the global interconnection company, are increasing Thai operations.
Meanwhile DAMAC Digital, the data centre arm of Dubai property developer DAMAC and Evolution Data Centres, an Australian operator, are announcing new facilities.
What is the EEC and how is it contributing to hyperscale developments?
The Eastern Economic Corridor (EEC) is a special area in Thailand designed to help businesses and industries grow quickly, using new technology and creating jobs.
It spans three provinces east of Bangkok, with Chonburi and Rayong provinces leading data centre development.
The EEC offers land parcels suitable for hyperscale campus construction, which typically requires 50-200 MW of power capacity per facility.
As a result, Chonburi is hosting Thailand’s largest upcoming data centre projects.
Now DayOne, a regional data centre developer, is constructing a 120 MW facility called Chonburi Tech Park – while Bridge Data Centres, an infrastructure provider, is planning a 200 MW campus in the same province.
Since data centres require substantial power infrastructure, with hyperscale facilities consuming electricity equivalent to small cities, the EEC’s power grid capacity and proximity to Thailand’s industrial base support high-density computing workloads that AI applications demand.
Simultaneously, cloud computing is 38% of Thailand’s total data centre capacity as of the first quarter of 2025 – which allows businesses to access computing resources without maintaining physical servers, with providers like AWS, Google Cloud and Microsoft Azure offering these services globally.
AI’s growing impact on infrastructure demand
AI workloads already account for 28% of total capacity in early 2025, compared with 20% the previous year.
Training workloads for large language models (LLMs) require high-performance computing infrastructure that generates substantial heat and consumes more power than traditional applications.
These models, including those behind ChatGPT and similar services, require specialised graphics processing units (GPUs) that consume more power and generate more heat than standard computer processors.
In response, Siam AI Corporation, a cloud partner of GPU manufacturer Nvidia, is collaborating with data centre operators to design AI-optimised infrastructure.
The partnership addresses infrastructure requirements for AI deployments, including cooling systems capable of managing heat from high-density GPU installations and power distribution systems that support equipment consuming up to 40 kW per rack.
This partnership will be useful to Thailand as its data centre market serves enterprises adopting AI applications for customer service, data analysis and process automation.
These applications require low-latency connections between users and computing resources, making local data centre capacity essential for acceptable performance.
