5 February 2026

Amsterdam Economic Board

ROM InWest

North Holland strengthens its position through AI in the national technology strategy

Service Sector

The Regional Reinforcement Plan submitted by the regional development agencies shows that North Holland is strongly positioned across several key technologies. Within that analysis, AI has a central role, especially in healthcare and in the link with advanced production and agrifood.

The Dutch National Technology Strategy identifies ten key technologies that are critical for future earning capacity and strategic autonomy. Building on that framework, regional development agencies mapped where knowledge, entrepreneurship, and market activity are most strongly connected. In North Holland, ROM InWest developed this analysis in close collaboration with organizations including Ontwikkelbedrijf Noord-Holland Noord, Trade & Invest, Amsterdam Economic Board, and the Province of North Holland.

The ROM analysis translated the national technology agenda into fourteen concrete value chains, using indicators such as R&D activity, patent position, available expertise, and technological complexity. In this framework, North Holland stood out with six high-potential value chains. From an AI perspective, two are especially relevant: AI in healthcare and AI with robotics in agriculture and horticulture. This confirms that AI is being positioned as an enabling layer within sector-specific systems rather than as a standalone theme.

For the next two years, the ROMs will jointly focus on five growth markets: deeptech, Life Sciences & Health, autonomous production, green chemistry, and protein transition. ROM InWest will place additional emphasis on Life Sciences & Health, green chemistry, and autonomous production in North Holland. Within that agenda, AI is most relevant where decision support, predictive modeling, and process optimization are integrated into operational settings.

A concrete example is Healthplus.AI, in which ROM InWest has invested. Its PERISCOPE platform predicts patient-specific infection risks and links those predictions to treatment actions aimed at reducing postoperative complications. This illustrates how AI in healthcare can support earlier intervention, more efficient capacity use, and lower system costs. Through these applications, the regional AI agenda is moving from strategy to implementation.


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