Southeast Asia’s AI infrastructure market is still young, uneven, and heavily concentrated in Singapore.
The sector has drawn about $1.2 billion in disclosed equity funding across Indonesia, Malaysia, Singapore, and Thailand from 2015 to 2026, according to a report by private market data platform Tracxn.
The bulk of that money came only recently. Tracxn said meaningful deployment began in 2023, when funding reached $254 million across nine rounds. Before that, activity was largely concentrated at the seed stage.
Funding climbed to $614 million in 2024, the largest annual amount in the dataset, although the figure was driven by just two early-stage transactions that accounted for $608 million of the total.
In 2025, the picture changed. Disclosed funding fell 48% to $320 million, but deal count rose to 11 rounds, the highest annual total on record. That suggests more companies were able to raise capital, even as average cheque sizes became smaller.
Early-stage rounds accounted for over 95% of all disclosed capital from 2023 to 2025. Tracxn said no late-stage transactions were recorded in any year covered by the dataset.
Seed funding also edged higher, rising from $4 million across seven rounds in 2023 to $7.64 million across seven rounds in 2025. Partial-year 2026 data showed two seed-stage rounds totaling $1 million.
Singapore captured about 99% of all disclosed funding across the four markets. Tracxn cited the city-state’s established financial infrastructure, deep talent pool, and pro-innovation regulatory environment as factors behind its lead.
Malaysia recorded about $1.5 million in early-stage activity, while Indonesia and Thailand had no disclosed AI infrastructure funding in the dataset.
The report also listed two Singapore-based acquisitions: SUPA, a data labelling platform, and Nidum, a decentralised AI computing platform. MiniMax was identified as the sole IPO candidate.