Singapore has cemented its position as Southeast Asia’s dominant fundraising hub for artificial intelligence (AI) companies, attracting about US$9.3 billion in disclosed equity funding, while investment elsewhere in the region remains comparatively small, according to a report by market intelligence platform Tracxn.
Singapore-based Native AI companies – businesses built from the ground up with artificial intelligence at the core of their operations and value proposition – raised US$9.3 billion across 227 funding rounds as of July 2026, according to Tracxn. This far outpaced Vietnam, Malaysia, Indonesia and Thailand, which together attracted less than US$40 million.
Vietnam ranked a distant second with US$19 million, followed by Malaysia with US$8 million, Indonesia with US$6 million and Thailand with US$4 million.
The disparity reflects differences in access to institutional and growth-stage capital rather than the level of AI innovation alone, Tracxn said in the report. While AI startup activity is growing across Southeast Asia, venture capital networks, later-stage funding and participation by global investors remain at different stages of development.
Singapore has long positioned itself as a regional base for technology companies seeking capital and access to Southeast Asian markets. The city-state is home to more than 4,500 technology startups, over 500 venture capital firms and 220 incubators and accelerators, according to Singapore’s Economic Development Board.
Its government has also made AI a strategic economic priority. Singapore launched its National AI Strategy 2.0 in 2023, setting an ambition to become a global leader in AI solutions by 2030, while expanding programmes covering AI talent, computing capacity, enterprise adoption and governance.
In 2026, the government launched a National AI Impact Programme aimed at increasing AI adoption among companies and workers, as it seeks to move from building AI capabilities towards wider commercial deployment.
Tracxn said Singapore’s concentration of funding should not, however, be interpreted as showing where all of Southeast Asia’s AI development takes place. Some companies establish headquarters or fundraising entities in Singapore to access investors and regional business networks while developing products or serving customers across several Southeast Asian markets.
The funding figures therefore reflect, in part, where companies choose to raise capital rather than the geographic distribution of AI innovation, it said.
Across Southeast Asia’s Native AI ecosystem, disclosed equity funding has accelerated sharply over the past two years.
Annual funding rose from US$869 million across 35 fundraising deals in 2024 to US$2 billion across 41 deals in 2025. Companies had already raised US$4.1 billion through 23 rounds in the first seven months of 2026, more than double the amount raised in all of last year.
About 67 per cent of the ecosystem’s cumulative equity funding has been raised since the start of 2025, according to Tracxn.
The nature of investment has also shifted. Funding through 2024 was largely concentrated in seed and early-stage rounds as companies developed products and tested markets, but larger late-stage transactions have become increasingly prominent since 2025.
Late-stage funding reached US$3.5 billion in the first seven months of 2026, compared with US$1.3 billion in 2025, indicating investors are directing larger amounts of capital towards a smaller group of companies that have demonstrated commercial traction and are seeking to expand.
Much of this year’s surge, however, was driven by a single transaction. Kling AI’s US$2.8 billion Series D accounted for about 68 per cent of Southeast Asia’s Native AI funding in 2026 through July, according to Tracxn. The financing was raised to strengthen its generative AI foundation models and AI-powered video generation platform.
The size of the deal underscores how increasingly capital-intensive the AI funding market has become as companies compete to develop models and secure the computing capacity needed to train and deploy them.
AI infrastructure was the ecosystem’s most heavily funded segment, attracting US$4.3 billion across 56 rounds, led by Kling AI’s financing and MiniMax’s US$1.2 billion, with other notable rounds involving PixVerse, Zelostech and SiliconFlow.
Data centre infrastructure followed with US$2.2 billion across four rounds, all raised by Princeton Digital Group. Together, AI infrastructure and data centres accounted for more than 65 per cent of the ecosystem’s cumulative equity funding.
The concentration reflects growing demand for the computing infrastructure needed to develop and run generative AI. Singapore has also sought to expand computing capacity while managing its energy constraints, including through a Green Data Centre Roadmap launched in 2024 to support additional data centre capacity and AI-related compute growth.
Funding is also spreading into AI-enabled and industry-specific technologies. Logistics technology attracted US$940 million across 19 rounds, autonomous vehicles US$900 million across nine rounds, and regulatory technology, or RegTech, US$562 million across 23 rounds.
Tracxn said the trend pointed to broader investor interest in companies developing infrastructure, enterprise AI platforms and applications as businesses move beyond product development towards commercial expansion.
“As the ecosystem continues to mature, the next phase of growth will be shaped by the emergence of more companies capable of scaling, attracting follow-on investment, and expanding AI adoption across industries,” Tracxn said.
Investment is expected to gradually spread beyond Singapore as AI ecosystems and venture capital markets elsewhere in Southeast Asia develop, though the city-state is likely to retain its position as the region’s main fundraising hub, the report said.
