Manufacturing has always been interconnected, but today those connections are deeper, more international, and more digital than ever before. Value chains stretch across borders and sectors, while regulatory requirements around sustainability, circularity, emissions reporting, and due diligence continue to expand. At the same time, AI systems demand diverse, high-quality training data that no single company can generate on its own.
Data spaces as industrial infrastructure
The challenge is no longer whether data should be shared, but how. Companies need to exchange information without losing control over sensitive knowledge, without building a custom integration for every partner, and without navigating a different trust model each time. Traditional approaches struggle to scale in this environment.
Data spaces respond to this structural challenge. They are not platforms, and they do not centralize data. Instead, data spaces create governed environments in which organizations can share data under transparent and enforceable rules, while retaining sovereignty over how that data is used.
As regulatory expectations grow and supply chains become more interdependent, data spaces increasingly function as industrial infrastructure. Much like logistics networks or energy systems, they enable distributed production systems to operate reliably and transparently at scale.
Manufacturing data across boundaries
This transformation is not confined to Europe or to a single initiative. Across the world, industrial data spaces are emerging to solve similar problems: secure data flows, lifecycle transparency, and interoperability across complex value chains.
Different regions pursue different governance models, but the direction is shared. Manufacturing data must move across organizational and national boundaries in ways that align with real supply chains, not political borders. Forums such as the International Manufacturing-X Council reflect the growing recognition that compatibility across regions will be essential for long-term success.
In this landscape, IDSA contributes experience built over more than a decade of research and implementation. Through its work, such as the IDS Reference Architecture Model, the IDSA Rulebook, and the Dataspace Protocol, IDSA supports trusted, interoperable data sharing across diverse technical environments. This role is collaborative rather than centralizing. Manufacturing data spaces can only succeed if they remain interoperable across sectors while respecting domain-specific needs.
Continue the conversation at Hannover Messe 2026
Hannover Messe brings together the physical and digital realities of manufacturing. It is where strategic questions meet operational constraints, and where infrastructure thinking moves from concept to implementation.
On Tuesday, April 21, 2026, IDSA hosts Industrial Data Spaces in Action – Simple, Scalable, Profitable, a dedicated event for industry leaders and IT decision-makers who want to understand how sovereign data sharing moves from strategy to execution — and how it delivers measurable business value.
The event will take place on April 21, 13:00 to 16:30, in the Hannover Messe Convention Center, room 18.
Register free for the Journey & Event: forms.office.com
