The DMA Evolution: EU Proposes Mandatory Search Data Interoperability for Google

The regulatory landscape for Big Tech is undergoing a seismic shift. In a move aimed at dismantling the data silos that bolster market dominance, the European Commission has proposed stringent new measures that could mandate Google to share critical search engine datasets with competing platforms. This initiative falls under the umbrella of the Digital Markets Act (DMA), signaling the EU’s commitment to fostering a more decentralized and competitive digital ecosystem.

In a recent announcement, the Commission outlined its intention to potentially require Google to grant third-party search engines access to high-value telemetry and ranking intelligence. This isn’t just about simple link sharing; it is about deep data interoperability.

Technical Scoping: What Data is on the Table?

The proposed framework targets the very “fuel” that powers modern search algorithms. For smaller rivals to achieve parity, they require more than just surface-level information. The Commission is looking at mandating access to:

• Ranking Datasets: The logic and order in which results are presented to users.
• Query Intelligence: Aggregated search terms and user intent patterns.
• Interaction Metrics: Click-through rates (CTR), dwell times, and view data that indicate user satisfaction and relevancy.

Crucially, the EU has specified that this data must be shared under FRAND terms—Fair, Reasonable, and Non-Discriminatory. This technical standard is designed to prevent “gatekeepers” from leveraging complex pricing architectures or convoluted API access protocols to stifle smaller entrants.

Addressing the AI Frontier

Perhaps most interestingly, the Commission has signaled that these mandates are not limited to traditional text-based search engines. The scope is expanding to include Generative AI chatbots that possess search capabilities. As the industry shifts from “search engines” to “answer engines,” the DMA is evolving to ensure that the massive datasets required to train and refine these AI models do not become the new frontier of digital monopolies.

Data Governance, Privacy, and the Re-identification Risk

From a cybersecurity and data governance perspective, the proposal is a tightrope walk. Sharing granular user interaction data presents significant privacy hurdles. To mitigate these, the Commission has stipulated that all shared data must undergo rigorous anonymization protocols prior to transfer.

Technical experts note that even with anonymization, there is a lingering risk of re-identification attacks, where disparate datasets are cross-referenced to unmask individual users. Consequently, the final regulatory framework will likely require high-standard encryption, secure data transfer protocols, and strict auditing to ensure that “fair competition” does not come at the expense of GDPR-compliant user privacy.

The Path to Enforcement: Timelines and Consultations

This is not yet a finalized mandate, but rather a roadmap for high-stakes negotiation. The Commission has opened a period for public consultation, inviting technical feedback from industry stakeholders through May 2026. This allows companies like Google to argue against technical impossibilities or privacy vulnerabilities.

The procedural timeline is as follows:

1. Public Consultation: Open for feedback from industry experts and competitors.
2. Regulatory Revision: The Commission will iterate on the proposal based on technical feedback.
3. Final Binding Decision: Expected to be adopted by July 2026.

While these proceedings do not yet constitute a formal ruling of non-compliance, they represent a decisive step in the EU’s enforcement of the DMA. For Google, the outcome may necessitate a fundamental redesign of its data architecture in Europe. For the rest of the industry, it represents a historic opportunity to access the proprietary insights that have, until now, been the exclusive domain of a single ecosystem.