Vietnam AI Processor Chip Market Size and Forecast by Hardware Architecture, Power Envelope, Memory Integration Type, Node Type, and End User: 2019-2033

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Industry Assessment Overview

Industry Findings: Vietnam’s AI processor demand has surged as the government prioritises digital industrialisation, logistics optimisation and public-sector modernisation. A critical policy milestone came when the Ministry of Information and Communications (MIC) issued national AI development directives in Jan-2024, outlining sectoral priorities and establishing infrastructure-readiness benchmarks for domestically deployed AI systems. This directive clarifies procurement criteria for ministries and enterprises, increasing preference for accelerators capable of supporting distributed inference across manufacturing zones, ports and public-service networks. In the short term, industrial and urban AI programmes will rely on inference-efficient chips optimised for computer vision, predictive maintenance and traffic intelligence; in the medium term, Vietnam’s rapidly expanding datacentre pipeline will drive procurement of memory-rich, governance-ready accelerators that align with emerging national cloud frameworks and cybersecurity expectations.

Industry Player Insights: The market in Vietnam consists of numerous players, including Viettel, FPT, Huawei Cloud, and AWS etc. Viettel accelerated sovereign-cloud-aligned compute with its 2024 expansion of GPU-enabled infrastructure for defence and civil-service applications. FPT strengthened its AI engineering stack with expanded generative-model training services in 2024–2025, boosting demand for high-performance accelerators. Huawei Cloud scaled availability of Ascend-backed services in Vietnam through 2024, offering enterprises an integrated hardware–software stack. AWS deepened regional infrastructure capability with enhanced accelerator instances within the Hanoi region across 2024–2025. These vendor activities expand Vietnam’s access to performance-tiered compute, stimulate ecosystem development and reduce barriers for national-scale AI programmes.