Vietnam’s manufacturing base and growing technology ecosystem could help South Korean startups develop and commercialize advanced technologies more efficiently. But the real opportunity lies in industrial access and scalable business models, not lower operating costs alone.
South Korean deep-tech startups face a difficult transition between developing advanced technology and building a commercially sustainable business. Industrial artificial intelligence (AI), robotics and semiconductor technologies can require specialised engineering, extensive testing and integration with existing infrastructure before customers are willing to adopt them. Vietnam could help ease some of these challenges through its manufacturing base, engineering talent and growing demand for industrial technology, but the commercial benefits remain dependent on execution.
Recent developments suggest that Korean companies are exploring this opportunity more actively. In August 2026, 20 South Korean startups participating in the Seuseuro Project signed 66 memoranda of understanding with Vietnamese partners, with a combined reported value of US$15.69 million. The agreements covered investment discussions, procurement, distribution and proof-of-concept projects. However, these preliminary agreements do not establish how much revenue has been realised or how many projects will become commercial deployments.
For startups operating in capital-intensive technology sectors, the question is whether Vietnam can offer more than a new market. It could potentially become part of a more efficient model for developing, validating and commercialising deep tech.
Why Vietnam Could Change the Economics of Deep Tech
Unlike many software businesses, deep-tech startups often need to demonstrate that their products work reliably in complex, real-world environments. For industrial AI and robotics companies, that can mean securing access to manufacturing facilities, integrating with existing production systems and proving that their solutions improve operational performance. Vietnam’s manufacturing ecosystem could provide Korean startups with opportunities to test technologies against these requirements while building relationships with prospective customers.
The Korea Trade-Investment Promotion Agency (KOTRA) has been facilitating such connections. In May 2026, five Korean companies showcased robotics, automation equipment and sensor technologies at Vietnam’s VINAMAC EXPO, with more than 50 export consultations planned involving 17 Vietnamese buyers. KOTRA also organised a Korea-Vietnam AI Innovation Day focused on manufacturing applications.
These initiatives can help startups identify industrial demand and establish initial customer relationships. Yet exhibitions and buyer meetings are only the starting point. The real economic advantage emerges when a startup converts these introductions into paid deployments, repeat customers and a more predictable route to market.
Vietnam could also support selected engineering, implementation and product-development activities. For Korean startups, distributing these functions across two markets may help them combine domestic research and intellectual property with additional engineering resources and access to Southeast Asian customers. Whether this arrangement reduces total costs, however, depends on the specialised skills available locally and the complexity of managing cross-border operations.
Industrial AI Offers a Practical Test Case
The collaboration between South Korean industrial AI company MakinaRocks and Samsung Display illustrates how this model could work. In August 2026, MakinaRocks announced plans to apply its AI-based equipment-control optimisation technology at Samsung Display’s manufacturing plant in Vietnam. The company said it had completed a proof of concept in the first half of the year and was targeting deployment across production lines by year-end.
The technology analyses programmable logic controller (PLC) code to identify obsolete, duplicated and unused instructions, potentially recovering memory capacity without replacing equipment or halting production. MakinaRocks reported that its approach had been validated on a live production line.
The case highlights an advantage that extends beyond labour costs. Industrial facilities can provide technology developers with real operating environments in which to test solutions against specific production problems. Working with an established manufacturer can also help a startup demonstrate its technology’s relevance to industrial customers.
However, the announcement does not establish that deployment across all targeted production lines has been completed or quantify the resulting savings. Nor does one collaboration prove that the model will work for every deep-tech startup.
Its significance lies in demonstrating a possible pathway from technical development to industrial validation. For startups, the next challenge is turning that validation into repeatable commercial adoption.
The Limits of a Low-Cost Expansion Strategy
Vietnam’s cost advantages do not automatically translate into a competitive advantage for advanced technology businesses. Deep-tech companies require more than affordable labour. They may need specialised engineers, reliable suppliers, sophisticated testing facilities and strict quality-control systems. The requirements also differ considerably between software-led industrial AI companies and startups developing robotics hardware or semiconductor components.
The OECD’s FDI Qualities Review of Viet Nam identifies constraints involving domestic supplier capabilities, quality consistency and certification that can limit deeper integration between foreign investors and local businesses. These factors matter when startups depend on precision components, specialised manufacturing or demanding industrial standards.
Cross-border operations can introduce additional challenges, including coordination costs, intellectual-property protection and the need to maintain consistent product quality. If engineering work requires extensive supervision from Korean teams, or if local suppliers cannot meet technical requirements, the anticipated savings may diminish.
Startups must therefore evaluate the total cost of developing, testing, deploying and maintaining a product, rather than comparing salaries across markets. The relevant question is whether Vietnam enables a company to reach commercial milestones more efficiently without compromising technical performance or its competitive advantage.
From Bilateral Cooperation to Commercial Results
Government initiatives are creating additional infrastructure for collaboration. In April 2026, South Korea and Vietnam announced a science and technology cooperation framework covering fields including AI, semiconductors, batteries and biotechnology, with plans for joint research, technology demonstrations, talent development and technology transfer.
The next phase of the Vietnam-Korea Institute of Science and Technology project, planned for 2026-2033, is also expected to receive US$30 million in South Korean non-refundable official development assistance. Its proposed activities include joint research, research infrastructure, talent development and technology commercialisation. Project documents were still being finalised for approval as of October 2026.
These initiatives could strengthen the foundations for cross-border innovation, but institutional cooperation alone will not guarantee commercially successful startups. The decisive indicators will be lower development costs, faster product validation, paying customers and the ability to reproduce successful deployments across multiple markets.
In a conversation with KoreaTechToday, Tommy Khuong, Senior Investment Associate at Capital JDI, identified the commercial potential of combining the two countries’ capabilities.
“The most compelling commercial synergy between South Korea and Vietnam lies at the intersection of Korea’s deep tech expertise in semiconductors, industrial AI, and robotics, and Vietnam’s rapidly expanding manufacturing base, software engineering talent, and ASEAN market gateway,” Khuong said.
He added that Korean hardware, vision-AI quality control and predictive-maintenance technologies could be deployed in Vietnamese manufacturing and agricultural supply chains, while Korean algorithm design could be paired with Vietnamese engineering hubs to develop cost-effective global software-as-a-service products.
Khuong argued that combining Korean research and intellectual property with Vietnam’s operational capabilities and regional distribution channels could help companies build globally competitive products more efficiently.
Vietnam could offer South Korean deep-tech startups a way to address some of the costs and operational barriers associated with commercialisation. Its value, however, will vary by technology, customer requirements and the capabilities available through local partners.
For some companies, the advantage may come from industrial testing and customer access. For others, it may involve engineering support or a route into Southeast Asian markets. In each case, the model must deliver measurable commercial benefits to justify its complexity.
Ultimately, Vietnam’s importance to South Korean deep tech will depend less on how cheaply startups can operate there than on whether cross-border partnerships help them build better products, win customers and scale sustainably.






