Blog | Employees, technology, business, news, events | Mimacom

The Digital Product Passport Is Only the Tip of the Iceberg: Why DPP, Data Spaces and the Data Economy Belong Together

Written by Lukas Bretzigheimer | Jun 10, 2026 6:00:00 AM

The Digital Product Passport is not an isolated compliance requirement. It is part of a broader shift toward interoperable industrial data systems across European supply chains – and organizations that improve data quality and interoperability now will be better positioned for future data-driven business models.

 

Key takeaways

  • DPP is part of a broader shift toward interoperable industrial data systems
  • Most organizations are blocked by fragmented and inconsistent product data
  • Data quality is becoming a competitive requirement, not just a compliance issue
  • Structured product data supports supplier integration and future service models
  • Organizations that build the right data foundation early will be better positioned for future regulation and market demands

 

After attending the SCALE-MX program at Uhlmann Group in Laupheim, one thing became clear to me: the Digital Product Passport is not an isolated compliance topic.

Most organizations treat it as one. They assign it to legal or sustainability teams, set a deadline, and wait for the delegated acts to arrive. That framing is a mistake. DPP is part of a much larger structural shift in how industrial data will be created, shared, and monetized across European supply chains. Organizations that miss this connection are not just late to compliance. They are late to the next stage of industrial competition.

 

DPP is the symptom: The root cause runs deeper

The Digital Product Passport forces exactly what the EU has been pursuing strategically for the better part of a decade: data that flows along the entire value chain, is machine-readable and standardized, remains under sovereign control, and is exchangeable through open interfaces.

This is not a new direction. Six major regulatory instruments are all pushing toward the same outcome:

Regulation

Scope

Connection to DPP

EU Green Deal

Climate neutrality by 2050

Creates the sustainability mandate that DPP makes measurable at product level

ESPR (EU 2024/1781)

Ecodesign for sustainable products

Primary legal basis for DPP; delegated acts define requirements per product category

Battery Regulation (EU 2023/1542)

Battery lifecycle and sustainability

First finalized mandatory DPP; Battery Passport required by February 2027

Data Act

Fair access to industrial data

Shapes how product data from connected devices must be shared

Data Governance Act

Trust frameworks for data sharing

Governance model underpinning sovereign data spaces such as Catena-X

CSRD

Corporate sustainability reporting

Requires supply chain emissions data that DPP infrastructure helps collect

Regulation is the forcing function. Data spaces such as Catena-X and Manufacturing-X are the infrastructure. The data economy is the underlying economic logic.

DPP is the product-level expression of this architecture. When the Battery Regulation requires a Battery Passport by February 2027, it is not creating a new obligation in isolation. It is the first mandatory instance of a system that will extend to electronics, textiles, steel, and eventually most physical products traded on the EU market.

Organizations that treat DPP as an ESG checkbox are solving for the symptom. The root cause is structural: Europe is building a data infrastructure for its industrial economy, and every manufacturer that participates in EU supply chains will need to be part of it.

 

Most organizations fail at the foundation – data

The challenge is not primarily regulatory. It is operational. Data spaces, DPP compliance, and the digital business models that both enable only work with clean, structured, accessible data. The reality in most industrial organizations looks very different:

  • Silos between ERP, PLM, supplier systems, and spreadsheets: Product data is distributed across platforms that were never designed to talk to each other
  • Inconsistent master data: The same component has different identifiers, descriptions, or units depending on which system you open
  • Manually maintained records: Critical product information lives in spreadsheets owned by individuals, not systems
  • No end-to-end lifecycle view: No single source of truth exists for a product from raw material sourcing through to end-of-life

I have seen organizations begin their DPP work with the right intentions, only to discover that they cannot answer basic questions about their own products. What materials are in this component? Which supplier delivered which batch? What was the carbon footprint of this production run? The data exists in principle. In practice, it lives in too many places, in too many formats, maintained by too many people operating without a shared standard.

 

Data quality is not the unsexy preparatory project you schedule before the real work starts. It is the prerequisite. Every strategic initiative that follows, whether DPP compliance, participation in Catena-X, or building predictive service offerings, builds directly on top of it. Organizations that skip this step do not just struggle with DPP. They run into the same wall every time they attempt a data-driven initiative, because the foundation was never built.

The companies that move first on data quality are not just preparing for regulation. They are building a structural advantage that compounds across every initiative that follows.

 

Being open does not mean giving up control

One phrase from SCALE-MX captured the European model precisely: "Share data, keep control."

This is worth unpacking, because it differs from data-sharing models that emerged from large US platform companies. In the platform model, openness means providing data to a central aggregator, which then controls how it is used and monetized. European sovereign openness means something structurally different: the ability to share data through standardized interfaces while retaining full control over who accesses what, under what conditions, and for how long.

This is the model embedded in Catena-X and Manufacturing-X. It is also the model written into the Data Governance Act and the Data Act. The EU is not asking manufacturers to open their data to everyone. It is requiring that data becomes interoperable: accessible to authorized parties, through agreed standards, on terms that the data owner defines.

The practical consequence is straightforward. Companies that build interoperable data systems will operate in this ecosystem. They will meet supplier requirements, participate in data exchanges, and access the business models those exchanges make possible. Companies that maintain proprietary, siloed data architectures will face a different outcome. Large OEMs and Tier-1 suppliers are already beginning to include DPP-readiness in tender criteria. Organizations that cannot deliver structured, machine-readable product data will be excluded from those supply chains before any law formally applies to them. That is not a regulatory risk. It is a commercial one.

Interoperability is not a technical nicety. It is a market access condition, and it is arriving faster than most compliance timelines suggest.

 

What this means for organizations now

DPP is the entry point. That is actually good news because it gives organizations a concrete, deadline-driven reason to build the capabilities on which everything else depends.

Companies that implement DPP seriously, which means structuring their product data, integrating supplier data flows, and building the technical layer for machine-readable output, are simultaneously building the foundation for adjacent capabilities. Participation in data spaces such as Manufacturing-X and Catena-X becomes achievable because the data architecture is already in place. Supplier integration through open standards such as Asset Administration Shell, GS1 Digital Link, and IDS becomes a natural extension of existing work. Data-driven service models, including performance-based contracts and predictive maintenance offerings, are now possible because structured product lifecycle data is available and accessible. When the next wave of delegated acts arrives for electronics or textiles, the response time shortens significantly because the infrastructure does not need to be rebuilt from scratch.

None of this requires waiting for every regulation to be finalized. The core data architecture needed for DPP compliance is largely consistent across product categories. Organizations that begin now are not investing in a moving target. They are investing in foundational capability that will be required regardless of how the regulatory details evolve.

The question is not whether to build this foundation. The question is whether to build it proactively, with time to extract value from it, or reactively, under deadline pressure, when the only objective is to pass an audit.

 

Data quality is the real competitive question

DPP is the proof point, but it is far from the only lever. The organizations best positioned in the European industrial data economy will not necessarily be those with the most sophisticated DPP implementation. They will be the ones that got their data right first. Clean, structured, accessible product data is the input to regulatory compliance, to data space participation, and to the new service models that industrial competitiveness will require.

The Battery Passport deadline is February 2027. The first delegated acts under ESPR are expected this year. Large OEMs are already writing DPP-readiness into supplier requirements, and the window for building this foundation properly is narrowing.

Organizations that act now are not spending on compliance. They are building the data infrastructure that industrial competitiveness will depend on for the next decade. That is not a cost center – that's a foundation.