Top 5 Asia-Pacific Data Center Companies
Amazon Web Services, Inc
Equinix, Inc.
Huawei Cloud Computing Technologies Co., Ltd
Digital Realty Trust Inc.
Beijing VNET Broadband Data Center Co., Ltd
Source: Mordor Intelligence
Asia-Pacific Data Center Companies Matrix by Mordor Intelligence
Our comprehensive proprietary performance metrics of key Asia-Pacific Data Center players beyond traditional revenue and ranking measures
The MI Matrix can diverge from a top revenue ranking because it also rewards where capacity is located, how reliably it can be delivered, and how quickly offerings adapt to AI era requirements. It also reflects observable signals, such as awarded expansion rights, committed megawatts under contract, and proof of repeatable campus delivery across multiple Asia-Pacific countries. In practical terms, buyers usually care about AI ready power density, cooling readiness, renewable sourcing, and predictable permitting timelines more than headline scale. Malaysia and Thailand are attracting large new builds, but power and water concerns are rising and can reshape project economics. Across Asia Pacific, there is also a growing risk of a shortage of AI ready space because many older sites were designed before high density GPU loads. For supplier and competitor evaluation, this MI Matrix by Mordor Intelligence is more useful than revenue tables alone because it balances footprint, delivery capability, and near term innovation signals.
MI Competitive Matrix for Asia-Pacific Data Center
The MI Matrix benchmarks top Asia-Pacific Data Center Companies on dual axes of Impact and Execution Scale.
Analysis of Asia-Pacific Data Center Companies and Quadrants in the MI Competitive Matrix
Comprehensive positioning breakdown
Amazon Web Services, Inc
Thailand became a fresh anchor point for AWS infrastructure in January 2025, with a stated investment plan of over USD 5.0 billion. AWS, a leading player, typically wins where data residency rules tighten, yet it still depends on predictable grid approvals and skilled operations hiring. In 2025 AWS broadened hybrid options by adding Tokyo Region support for second generation Outposts racks. If sovereign wealth funds accelerate build to suit capacity, AWS can shift faster through structured campus partnerships, but power price volatility remains a material delivery risk.
Equinix, Inc.
Singapore remains a stress test for expansion discipline, since new builds must clear policy gates and sustainability criteria. Equinix, a major player, is pushing that bar with its SG6 project, a 20MW facility tied to Singapore's DC Call for Application program and planned for opening in 2027, with over USD 0.3 billion of initial investment. In 2025 it also expanded its Southeast Asia operating footprint through a completed Philippines acquisition, adding another control point for regional customer deployments. If AI demand spikes faster than permitted new capacity, the downside is customer churn toward Malaysia or Indonesia.
Alibaba Cloud
Capacity additions in Thailand signal a clear push to stay close to fast growing enterprise demand for AI workloads. Alibaba, a top player, strengthened local resilience by launching its second Thailand data center in February 2025. It also disclosed a multi year plan in 2024 to add data centers across Malaysia, the Philippines, Thailand, and South Korea, which should reduce latency exposure for regulated sectors. If cross border data controls tighten, localized availability zones become a moat, but rapid buildouts still face power procurement and construction bottlenecks.
Google Inc
Physical buildouts in Southeast Asia are now a core part of Google's latency and resilience plan, not a side effort. Google announced a USD 2.0 billion investment in Malaysia in May 2024 for its first data center and a cloud region. It followed with a USD 1.0 billion Thailand investment in September 2024 for a data center and cloud region, aligned with national cloud policy direction. In Singapore Google says it completed its fourth data center facility in 2024, bringing total technical infrastructure investments there to USD 5.0 billion. If power constrained hubs tighten rules again, the risk is slower capacity delivery despite strong demand.
Frequently Asked Questions
How should we compare hyperscale self built sites versus colocation capacity in Asia Pacific?
Hyperscale sites optimize cost and control, but they lock you into fewer metros. Colocation improves speed, interconnect choice, and multi city resilience.
What are the most important selection criteria for an Asia Pacific colocation operator?
Start with power availability, expansion rights, and clear uptime commitments. Then validate security controls, audit support, and a realistic path to AI ready cooling.
What changes when workloads shift to GPU dense AI training and inference?
Power per rack rises sharply, so cooling design and floor loading become limiting factors. You should ask for tested liquid cooling options and a credible commissioning plan.
How do data residency rules affect site selection across APAC countries?
They can force in country hosting for certain data types, which changes which metros are acceptable. Plan for a dual site design so you can separate regulated data from less sensitive workloads.
What are the most common delivery risks for new data centers in the region?
Grid connection timing is often the longest path item, followed by equipment lead times and a shortage of certified engineers. Contract for schedule transparency and require staged commissioning milestones.
When does it make sense to use edge facilities instead of a large centralized campus?
Edge sites help when latency is a hard requirement or when local sovereignty rules constrain routing. Central campuses work better for large training runs and bulk storage where latency is less critical.
Methodology
Research approach and analytical framework
We used company filings, investor materials, and official press rooms, plus named journalism and selected research from professional services firms. This works for both public and private operators. We prioritized in-region buildouts, sites, certifications, and contracts over global statements. When numbers were not disclosed, we triangulated through dated expansions and observable operating signals.
Data center decisions depend on local land, power access, and metro proximity across APAC countries.
Buyers in regulated sectors prefer operators with proven uptime credibility and audit readiness.
Relative scale of in-region deployments proxies negotiating leverage for power, land, and anchor tenants.
Campus delivery, commissioning depth, and day two operations staffing determine usable megawatts.
AI driven racks need higher density, new cooling, and flexible interconnect options introduced since 2023.
Capital intensity is high, so in-region expansion durability depends on funding capacity and utilization stability.
