Manufacturing Data Standardization Accelerated to Support SME AI Transition

South Korea is accelerating efforts to standardize manufacturing data, a crucial step aimed at empowering small and medium-sized enterprises (SMEs) in their transition to artificial intelligence (AI). The Ministry of SMEs and Startups (MSS) is broadening its data standardization initiatives, recognizing the vital role of clean, consistent data in unlocking AI's potential for the manufacturing sector.

This push for standardization is designed to align the nation's manufacturing data practices with international benchmarks. By doing so, the government intends to dismantle key obstacles hindering AI adoption among SMEs. Enhanced data quality and interoperability are expected not only to facilitate the integration of AI technologies but also to bolster the competitiveness of Korean companies within the global supply chain.

The Ministry, alongside the AI Innovation Promotion Agency, recently convened a kickoff meeting for the "2026 Manufacturing Data Standardization Project." This event brought together newly selected organizations tasked with developing reference models based on the Asset Administration Shell (AAS) international standard. AAS provides a framework for digitally standardizing and managing information from physical assets like manufacturing equipment.

Five consortia, comprising 17 organizations, have been newly chosen to lead the development of AAS international standard-based reference models this year. This collaborative approach underscores the government's commitment to fostering a robust ecosystem for AI-driven manufacturing. The initiative reflects a broader trend in the industry, where the increasing use of AI across manufacturing sectors highlights the paramount importance of data quality and standardization.