Google search data access mandated by EU under cost-based pricing
The European Commission has adopted a binding decision under the Digital Markets Act requiring Google to provide rival search engines with access to search data on cost-based FRAND terms. The ruling establishes specific eligibility criteria, pricing formulas based on incremental costs, and strict usage limitations for the data, with implementation expected to begin in January 2027.
Key Takeaways
- Pricing for data access is capped at incremental costs plus a return based on Alphabet's weighted average cost of capital
- Eligibility requires two years of EU search operations or 50 million euros in funding for newer entrants with 50,000 monthly users
- Data sharing includes ranking, query, click, and view data from both free and paid search results
- Usage is strictly limited to search functions, prohibiting the training of general-purpose AI models or advertising profiling
Why It Matters
This decision transforms FRAND from a voluntary patent pledge into a rigid regulatory tool for platform data. By forcing Google to share granular search signals at cost, the EU is attempting to lower the barrier for specialized search engines and AI chatbots that rely on high-quality grounding data. For the broader streaming and ad tech ecosystem, this sets a precedent for how gatekeeper data might be unbundled under the Digital Markets Act. While Google argues this poses privacy risks, the Commission's reliance on strict anonymization and coarsening methods suggests a new standard for data interoperability. Watch for Google's final pricing offer in January 2027 to determine if these terms are commercially viable for challengers.
Additional Context
The European Commission's Digital Markets Act enforcement against Google represents a broader regulatory push to force gatekeepers to open their data infrastructure to competitors. In March 2025, the Commission opened a formal investigation into whether Google's AI Overviews in Search comply with DMA obligations, examining whether the integration of generative AI results disadvantages rival search services. That probe, which remains ongoing, signals that Brussels views search data access as inseparable from the competitive dynamics of AI-powered discovery. The FRAND pricing decision announced in September 2026 extends this logic by mandating not just access but a specific cost-based formula, moving beyond the DMA's general interoperability requirements into granular economic regulation.
Google has pushed back on multiple DMA obligations simultaneously, creating a complex compliance landscape. In November 2025, Alphabet's President of Global Affairs Kent Walker stated the company would appeal the Commission's September 2024 DMA non-compliance decision, which carried a 2.95 billion euro penalty related to ad-tech self-preferencing. That appeal, filed with the General Court of the EU, runs parallel to the search data FRAND obligation and could influence how the Commission structures enforcement timelines. Meanwhile, the IAB Tech Lab published updated guidance in early 2026 on how publishers should handle data-sharing mandates under the DMA, noting that cost-based access models could create new revenue streams for data intermediaries while raising unresolved questions about consent management under GDPR.
The technical architecture of the FRAND mandate draws on precedents from patent licensing disputes, particularly the framework established by Judge James Robart in the 2013 Microsoft v. Motorola case, which set the first judicial methodology for calculating FRAND royalty rates. That ruling introduced the concept of incremental value contribution, which the Commission has adapted for data access pricing by tying costs to marginal infrastructure expenses rather than market value. European Commission Article 102 guidelines, which administer FRAND commitments for telecom standards, published a position paper in June 2026 cautioning that applying FRAND methodology to platform data risks conflating patent licensing economics with data economics, arguing that data's non-rivalrous nature makes incremental-cost pricing fundamentally different from per-unit royalty models used in telecommunications.
Read full article at ppc.land
Enjoy our coverage?
Add StreamingMeme as a preferred source on Google to see more of our streaming news at the top of your Search results.
Add as preferred source