ASEAN Cloud & AI Infrastructure Investment Tracker

Announced commitments from U.S. hyperscalers, Chinese cloud operators, and domestic conglomerates across Singapore, Malaysia, Indonesia, Thailand, the Philippines, and Vietnam.

Andrew Stokols ยท Singapore Management University Updated April 2026
Country
Category
$0B
total visible
$0B
U.S. hyperscalers
$0B
Chinese operators
$0B
domestic conglomerates
investment by country
Investment by country.
investment by firm type
Investment by firm type.
Microsoft Google AWS Meta ByteDance/TikTok Alibaba Cloud Huawei Cloud Tencent Cloud Haoyang Data Domestic infra
๐Ÿ“ก Pipeline โ€” Government Meetings & Exploratory Deals
Country Firm Stage Date Signal
Notes on methodology: Figures are announced commitments over stated timeframes, not annual capex. Amounts marked est. are estimated from secondary sources where firms have not disclosed country-level figures. Domestic conglomerate figures reflect data center and energy infrastructure capex estimates, not equivalent to hyperscaler cloud investments. ByteDance/TikTok is classified as a Chinese operator for Malaysia (direct investment) and under U.S. hyperscalers for Thailand (where it operates through a Singapore-based entity in the regional investment context). Some U.S. hyperscaler figures (esp. AWS Indonesia/Thailand) are from aggregator summaries rather than direct company announcements and should be treated with caution. ByteDance Thailand figure revised to $3.8B per DataGarda/LinkedIn sources; earlier $8.8B figure was likely an aggregator error.

Sources: Company announcements, Reuters, CNA, Data Center Dynamics, The Edge Malaysia, Bernama, Business Times Singapore, Tech in Asia, W.Media, VietnamPlus, VietnamNews, The Investor (VN), Introl/ASEAN Exchange (Mar 2026), ARC Group (2026), project fieldwork. Pipeline section tracks government meetings, MOUs, and exploratory signals โ€” not confirmed capital commitments. Last updated May 2026.
Andrew Stokols ยท Singapore Management University ยท SEA AI Upskilling Tracker Research supported by Microsoft AI Economy Institute Research Grant