The Automotive Revolution: Why Vietnam is a Rising Hub for AI-First Software-Defined Vehicles (SDVs)

Summary

The article examines AI-first software-defined vehicles as a strategic shift in automotive, where software enables customizable experiences and continuous upgrades. It outlines the investment and talent imperatives, notes global workforce constraints, and explains why Vietnam’s accelerating capabilities and cross-sector collaboration position the country as a promising hub for future development.

Key Points:

• Defines AI-first software-defined vehicles and positions software as core driver of vehicle functionality.
• Highlights business benefits including faster feature delivery, personalized experiences, and ongoing revenue through updates.
• Addresses industry challenges around talent shortages, ecosystem maturity, and cross-sector collaboration requirements.
• Explores Vietnam’s emerging strengths, outlining growth drivers and opportunities to become a regional hub.

What makes AI-first SDVs a turning point?

AI-first software-defined vehicles mark a shift from hardware-led engineering to software-and-AI-centered mobility. They run features via code, update over the air, and orchestrate personalized in- and out-of-car experiences. As automakers reallocate R&D to software, these vehicles promise smarter, safer functionality and accelerate the industry’s digital transformation.

The term software-defined vehicle (SDV) describes an automobile whose core operations and features are governed by software, and this allows both in-car and out‑of‑car experiences to be tailored while new capabilities are delivered over the air without changing hardware. As customers increasingly expect seamless, digital, integrated journeys, the industry is therefore shifting from hardware-first to software-centric design. Deloitte projects that at least 90% of new vehicles launched by 2029 will be software-defined [1].

As the AI era unfolds, automakers are powering this SDV transition with AI, creating “AI-first SDVs” that build on the software paradigm and enable smarter, safer, more personalized experiences. And global players are moving quickly, as 74% of executives believe vehicles will be software-defined and AI-driven by 2035 and plan to allocate up to 58% of R&D to software and digital solutions [2].

Why is the path challenging for the automotive industry’s shift to software-defined vehicles?

The journey toward software-defined vehicles faces intertwined constraints: a global talent crunch, tightening supplies of AI-grade chips, and fragmented R&D approaches. These pressures raise costs and slow delivery, yet partnerships and standardization, such as AUTOSAR, offer paths to scalability and faster time-to-market.

The sector is moving into a software-defined era, and skill needs now span both automotive and technology. Therefore, companies must navigate workforce gaps, hardware bottlenecks, and coordination across ecosystems to sustain momentum.

Talent shortage

Talent shortages remain a major concern across transport, logistics, and automotive, with 76% of companies reporting difficulty filling roles [3]. As requirements now blend automotive engineering and software expertise, talent development becomes pivotal. Outsourcing can help; however, the global tech talent crisis—affecting about 90% of businesses worldwide [4]—makes it hard to find vendors with both deep technology capabilities and comprehensive automotive know-how.

Chip shortage

As the industry embraces an AI-first approach, dependence on AI-grade chips increases, and so does risk. Applications such as autonomous driving and AI-enabled Driver Monitoring Systems—with facial recognition and emotion detection—demand massive real-time compute to analyze data and make split-second decisions. Therefore, demand will surge as SDVs scale. However, rising cross-sector demand, talent gaps, and supply chain disruptions could trigger renewed chip shortages.

Inefficient research and development

In early SDV development, many automakers built in-house digital solutions and operating systems to seek differentiation. This strategy required heavy investment in distinct systems, leading to duplicated effort across the sector and limited opportunities for scaling, component reuse, or integration.

In response, partnerships and sector-wide frameworks have gained traction, with AUTOSAR among the best known. With 300+ members, AUTOSAR promotes standardized software development and open E/E system architecture [5]. By enabling reusability and development scalability, members can achieve significant cost savings and faster time-to-market. Yet developing AUTOSAR-compliant solutions remains challenging without extensive technological know-how.

Why is Vietnam emerging as an AI-first SDV hub?

Vietnam is rapidly positioning itself as an AI-first software-defined vehicle (SDV) hub thanks to a booming automotive market, fast-growing EV adoption, and deepening software expertise. Strong government incentives and global partnerships, including NVIDIA and FPT, are accelerating R&D, while local champions like VinFast showcase end-to-end capabilities from manufacturing to AI-enabled services.

Promising automotive capabilities

Emerging from one of the poorest countries globally, Vietnam’s economy has grown exponentially over the last 50 years since its life-changing reforms, and domestic purchasing power has risen in tandem [6]. Therefore, more households can afford automobiles, making Vietnam’s automotive industry one of Southeast Asia’s fastest-growing [6]. Car production reached nearly 400,000 units in 2024—up 27% from 2023—with higher growth expected in 2025 [7]. Moreover, demand for green mobility is rising, with about 70% of consumers intending to purchase electric vehicles (EVs).

From relying on foreign designs, the country leapfrogged when VinFast introduced Vietnam’s first EV in 2021 [8] and exported made-in-Vietnam EVs to the US just one year later [9], and the company recently launched its second model in the EU, targeting France, the Netherlands, and Germany [10]. In addition, Vietnam is demonstrating strong automotive software capabilities that accelerate the SDV transition. Local technology provider FPT has set up dedicated automotive-software subsidiaries and, as an AUTOSAR-verified partner, delivers comprehensive solutions for US, Korean, and Swedish automakers, enabling up to 60% faster time-to-market. One notable case saw FPT help a South Korean thermal management provider build CDD and BSW integration with ASPICE Level 2 compliance in just three months. The company has also rolled out predictive maintenance solutions, employing AI to identify and address potential vehicle failures. These AI-powered solutions are cutting diagnostic time by 70% and repair time by 25%, while reducing emissions and energy consumption by 30% and 25%, respectively.

Thriving R&D ecosystem

With a national goal to reach high-income status by 2045, Vietnam views technology—especially AI—as a critical accelerator, and the government has built a favorable environment for investment and innovation. Projects that support high technology or automobile assembly can enjoy a 10% preferential tax rate for up to 15 years (versus the 20% standard), while certain large investment and R&D projects qualify for a 5% CIT rate; reductions and exemptions for land rental and water fees also apply [11]. Moreover, the country’s strategic location and partnerships with 200+ nations, including fourteen comprehensive strategic partners, add to its advantages.

These efforts are bearing fruit, as more global players now view Vietnam as a strategic investment destination. Notably, NVIDIA’s CEO Jensen Huang called Vietnam the company’s “second home” and committed to making the country a key focus; NVIDIA has since signed an agreement with the Vietnamese government to establish an AI research & development center and an AI data center [12]. Prior to that, the company joined forces with FPT to build a US$200 million AI Factory leveraging NVIDIA AI Enterprise software, frameworks, and H100 Tensor Core GPUs. Local government and companies are also expanding the landscape with initiatives such as the Da Nang Semiconductor and Artificial Intelligence Center and FPT’s AI Center in Quy Nhon. To accelerate AI, Vietnam is strengthening semiconductor capabilities, and FPT has designed, launched, and secured orders from Japan, South Korea, Taiwan, and more to export 70 million made-in-Vietnam chips.

Vietnam was considered “the most attractive destination for US semiconductor investors.” Learn why.

How does Vietnam’s talent drive its rise as a hub for AI-first software-defined vehicles?

Talent development anchors Vietnam’s AI-first software-defined vehicle (SDV) ambitions by aligning government, academia, and industry, and it ensures capabilities scale with market needs. With cross-sector collaboration, rising education investment, a strong IT graduate pipeline, and specialized automotive software training, Vietnam is strengthening its position as a global hub while sustaining momentum through continuous upskilling.

Vietnam’s transition to an AI-first SDV future depends on collaboration across semiconductors, automotive, AI, and software development, and it requires sustained capability building. With strategic investment and shared visions among government and local enterprises, Vietnam is emerging on the global map as a rising hub—while putting people and skills at the center.

To clarify how talent fuels this trajectory, the highlights below are grouped by capability pillars: ecosystem, investment, pipeline, specialization, and outlook.

• Ecosystem and cross-sector capabilities: Transitioning to AI-first SDVs demands coordinated efforts across semiconductor, automotive, AI, and software. Vietnam is advancing on all fronts, and shared public–private visions are creating momentum that elevates the country’s standing globally. Therefore, capability development is both a foundation and a catalyst for progress.
• Surging education investment: Vietnam recorded a 107% increase in education investment between 2022 and 2023, marking a historic high [13]. This surge signals long-term commitment, and it directly supports technology, AI, and automotive skill formation that SDV programs require.
• A robust IT graduate pipeline: The country remains among the nations with the highest number of IT graduates, with 57,000 students enrolling in computer science and IT-related majors annually [14]. This steady inflow strengthens the talent base, and it helps organizations scale engineering teams without compromising quality.
• Specialized automotive software training: Local corporations are deepening expertise; for example, FPT has established its Automotive Software Engineering (ASE) department. Students receive comprehensive training in automotive and software engineering, and they gain opportunities to work on FPT’s real-life projects for global clients—thereby closing the gap between classroom learning and industry practice.
• Outlook and sustained commitment: Government–enterprise collaboration has yielded early successes; however, this is only the beginning. Vietnam is expanding plans for human resource development in high technology, AI, automotive, and semiconductors, and these initiatives reflect clear ambition to become a global hub for AI-first SDVs. By treating talent development as the north star, Vietnam stays firmly on course.

Conclusion

AI-first, software-defined vehicles are reshaping mobility, and Vietnam is positioned to capitalize on this shift. With a fast-growing tech ecosystem, cost-effective innovation, and supportive policy, the country can become a launchpad for SDV breakthroughs.

The road ahead demands disciplined execution: closing the talent gap, deepening industry–academia partnerships, and investing in safety, data, and infrastructure. Those who build capability now will capture outsized value as software becomes the engine of automotive differentiation.

Key Takeaways:

• Invest in SDV-focused talent pipelines via targeted reskilling, STEM education, and internships.
• Forge industry–academia partnerships to accelerate R&D, safety, and standards compliance.
• Build data, compute, and testing infrastructure to enable OTA, AI, and continuous updates.
• Leverage Vietnam’s ecosystem and policies to pilot, scale, and export AI-first mobility solutions.

Frequently Asked Questions

What talent shortage challenges does the automotive industry face?
The automotive industry faces severe talent shortages, with 76% of global transport, logistics, and automotive companies reporting difficulties filling vacancies, particularly as the sector transforms toward software-defined operations requiring new technical skills.

What cross-sector collaboration is needed for AI-first SDV transition?
AI-first SDV transition requires comprehensive cross-sector collaboration spanning semiconductor, automotive, AI, and software development industries, supported by strategic government investment and shared visions between public and private sectors for capability development.

What are software-defined vehicles and how do they work?
Software-defined vehicles are automobiles whose operations and functionalities are driven by software rather than hardware, enabling bespoke in-car and out-car experiences with new features upgraded over-the-air without altering physical components.

What are the key requirements for successful AI-first software-defined vehicle development?
Successful AI-first SDV development requires strategic investment in talent development, efficient research and development ecosystems, cross-sector collaboration capabilities, and comprehensive expertise spanning semiconductors, automotive engineering, AI, and software development.

Why is Vietnam becoming a hub for automotive industry growth?
Vietnam has emerged as an automotive hub due to exponential economic growth over 50 years since reforms, increased domestic purchasing power, growing vehicle affordability, and promising automotive manufacturing capabilities that position it for AI-first SDV development.