Vietnam’s artificial intelligence startup ecosystem has reached an important turning point. Funding for Vietnamese AI startups increased from US$10 million in 2023 to US$130 million in 2025, a 13-fold rise in two years. The number of AI deals also nearly doubled to 23.
The rise stands out given that the current Southeast Asia venture capital market is becoming more selective. While investors still display a willingness to fund AI startups, they increasingly want companies that can demonstrate clear industry applications, paying customers and realistic paths towards sustainable growth.
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Vietnam is well positioned to capitalise on this shift, supported by its large technical workforce, growing domestic market, expanding digital infrastructure and government policies that increasingly position AI as a driver of productivity. Nonetheless, the difficult part begins now, as firms have to convert this sharp rise in investment into scalable businesses capable of competing beyond Vietnam.
Vietnam has emerged as one of ASEAN’s largest GenAI startup hubs
Funding is rising on top of an ecosystem that was already developing quickly. The ASEAN GenAI Startup Report 2024 found that 27% of the 250 GenAI-native startups surveyed were based in Vietnam, second only to Singapore at 44%. Vietnam’s position is supported by its technical talent pool, relatively low operating costs and growing reputation as a development hub.
Vietnam’s advantage is different from Singapore’s. While Singapore has significantly more venture capital, multinational technology companies and regional headquarters, Vietnam offers a large engineering base where companies can build products at comparatively lower cost. The challenge is converting that engineering strength into companies that can raise larger rounds and sell internationally.
Bridging this gap matters for Vietnam. While being a development centre can create jobs and technical expertise, much of the long-term economic value sits with companies that own products, intellectual property and customer relationships. Vietnam’s next stage therefore depends on creating more businesses that originate locally but sell regionally or globally.
The money is moving towards practical industry problems
Vietnam’s AI opportunity is unlikely to come from trying to reproduce Silicon Valley’s largest model developers. Instead, investment is increasingly moving towards applications connected to industries where the country already has customers, data and operational problems.
Manufacturing is one of the clearest examples of this. Vietnam has become an important production base for electronics, textiles, consumer goods and other industries. As such, AI can be applied to quality inspection, factory automation, equipment maintenance and production planning. The commercial value of AI integration is also relatively easy to understand. If technology can reduce faulty products, improve factory output or lower labour-intensive inspection costs, manufacturers have a measurable reason to pay for it.
Agriculture provides another opportunity. AI can support crop monitoring, fertiliser use, pest detection, supply-chain planning and farm productivity, particularly as Vietnam continues to modernise its agricultural sector.
Finance is also suited to locally developed AI. Vietnamese companies can build products around fraud detection, credit assessment, customer service and financial access for consumers who may not fit traditional lending models. The common thread across AI implementation in Vietnam is thus specialisation. The stronger opportunity lies in applying it to expensive, clearly defined problems within established industries.
Global models are lowering the cost of building AI companies
One reason more Vietnamese startups can enter the market is that they no longer need to build the underlying AI technology from scratch. Foundation models developed by companies such as OpenAI, Google and Meta give startups access to advanced language, image and reasoning capabilities without requiring them to build frontier AI models and the underlying infrastructure from scratch. Vietnamese developers can instead build specialised products on top of existing models. For example, an education startup can adapt an existing model to local curricula while a manufacturer can combine AI with factory data to identify defects.
This changes the economics of starting an AI company. The most expensive research can be handled by global model providers while local startups concentrate their resources on industry expertise, data, customer experience and distribution. However, dependence on global models also creates a risk. If every company uses the same underlying technology, products can become increasingly easy to copy.
The strongest Vietnamese startups will therefore need another advantage to stand out. That could come in the form of proprietary data, specialised workflows, Vietnamese-language capabilities or industry relationships that global technology companies do not possess. In particular, local language is important. Vietnam has already invested in open Vietnamese datasets and tools designed to improve how AI systems understand local language and context. As such, while access to global models may lower the barrier to entry, local knowledge will determine which businesses can build something difficult to replace.
Government policy is pushing AI deeper into the economy
Vietnam’s AI expansion is not being driven by venture capital alone. The government has already been treating AI as a strategic technology for several years. This is seen in the National Strategy on AI Research, Development and Application through 2030, which aims to make Vietnam a regional centre for AI solutions while expanding research, computing infrastructure, talent and commercial applications. Moreover, the policy emphasises the use of AI to raise the productivity of the Vietnamese workforce, reduce costs and improve competitiveness.
That direction became more significant in 2026. Vietnam’s first dedicated Law on Artificial Intelligence took effect on 1 March 2026, creating a national framework covering the research, development and use of AI systems. Furthermore, the country’s wider digital strategy is also moving in the same direction. The government wants the digital economy to contribute 30% of GDP by 2030, with AI, data and digital platforms positioned as important sources of growth.
For startups, policy support can stimulate opportunities through research programmes, public-sector adoption and stronger demand from companies encouraged to digitalise. However, government ambition cannot guarantee commercial success and startups need to ensure that customers are still willing to pay for their products. Ultimately, while policy can create favourable conditions, it is still the market that will determine which businesses survive.
Funding now needs to turn into revenue
Vietnam has already shown that investors are willing to put more money into its AI ecosystem. The harder question is what happens to that money next. The 13-fold rise in funding is so dramatic partly because investment began from a very small base. Vietnam will need several more years of larger funding rounds and successful companies before it reaches the depth of more mature technology ecosystems.
There is also a difference between building impressive AI products and building a sustainable company. Startups need repeat customers, healthy margins and products that continue to provide value after the initial excitement around AI fades. Those targeting businesses must survive lengthy sales cycles and integration requirements. Those selling to consumers need to prove that users will pay rather than simply experiment with a new AI tool.
Regional expansion creates another test for Vietnamese firms. While Vietnam-specific knowledge can help a startup establish itself domestically, expansion into markets such as Thailand, Indonesia or Singapore brings different languages, regulations and customer expectations. The next wave of successful Vietnamese AI startups will therefore need to combine two strengths: a competitive technical base at home and products designed from the outset for markets beyond Vietnam.
Vietnam’s AI boom now needs proof of scale
Vietnam’s AI funding story has changed quickly. Two years ago, US$10 million in annual investment suggested an ecosystem that was still at the beginning of its development. By 2025, US$130 million and 23 deals showed that investors were taking the sector more seriously. The country also has advantages that should continue to attract attention, such as engineering talent, competitive operating costs, a large domestic economy and strong government support for AI adoption.
But funding should serve as an input rather than the final measure of success. Vietnam does not need to build its own OpenAI to create a valuable AI ecosystem. Instead, one of its strongest opportunities lies in applying increasingly accessible technology to manufacturing, agriculture, finance, education and other industries where local knowledge matters.
The companies that emerge from this funding cycle now need to prove that those applications can generate durable revenue, expand across borders and build advantages that survive as AI technology becomes cheaper and more widely available. If they can, the most important part of Vietnam’s 13-fold funding increase will not be how quickly the number rose. It will be the companies that remain even after the investment cycle moves on.