GDPR Fines 2024–2025: The 10 Most Expensive Penalties and How Anonymization Would Have Prevented Most of Them
- Ben Ramhofer

- Mar 1
- 3 min read

European data protection authorities issued over €1.2 billion in GDPR fines in 2024 2025 combined. The first half of 2025 added another half billion. The pattern across these cases is remarkably consistent: identifiable personal data was transferred, breached, or misused. In 9 out of 10 of the biggest GDPR penalties from this period, proper data anonymization would have materially reduced or eliminated the regulatory exposure.
Here are the numbers.
The 10 Largest GDPR Fines (2024–2025)
# | Company | Fine | Violation | Could anonymization help? |
1 | TikTok | €530M (Irish DPC, May 2025) | Illegal transfer of EU user data to China | Yes. Anonymized data falls outside GDPR transfer restrictions entirely. |
2 | €310M (Irish DPC, Oct 2024) | Unlawful behavioural profiling for targeted ads | Yes. Anonymized aggregate behaviour data would eliminate the violation. | |
3 | Uber | €290M (Dutch AP, Aug 2024) | Transferring sensitive EU driver data to US without safeguards | Yes. Anonymization before transfer removes GDPR applicability. |
4 | Meta (breach) | €251M (Irish DPC, Dec 2024) | 2018 Facebook breach exposing 29M accounts | Yes. Pseudonymization at rest would have rendered breached data unusable. |
5 | Shein/ZOETOP | €150M (CNIL France, 2025) | Cookie consent and tracking violations | Yes. Privacy-preserving analytics with anonymized data eliminates the issue. |
6 | Meta (passwords) | €91M (Irish DPC, Sep 2024) | Storing hundreds of millions of passwords in plaintext since 2012 | Yes. One-way hashing would have fully prevented this. |
7 | Enel Energia | €79.1M (Garante Italy, Feb 2024) | Telemarketing data misuse, unauthorized CRM access sharing | Partially. Anonymization helps for analytics, but telemarketing inherently requires contact data. |
8 | Amazon France | €32M (CNIL France, 2024) | Excessively intrusive employee monitoring | Yes. Anonymized aggregate team metrics instead of individual tracking would avoid the violation. |
9 | Clearview AI | €30.5M (Dutch AP, Sep 2024) | Illegal biometric database from 30B+ scraped images | Yes. Anonymization-by-design would force a privacy-preserving architecture. |
10 | Apotheka | €3M (Estonian DPA, 2025) | Health data breach affecting 750K+ people | Yes. Pseudonymization at rest means breached data cannot be linked to individuals. |
Combined total: ~€1.77 billion
What the Data Tells Us
1. The problem is identifiable data, not weak firewalls
Nine out of ten cases involve personal data that was identifiable at the point of transfer, storage, or processing. The fines were not triggered by a lack of encryption or perimeter security. They were triggered because the data itself was still personal. Under GDPR, properly anonymized data is no longer personal data (Recital 26). It falls outside the regulation's scope entirely.
2. Cross-border transfers remain the highest-risk scenario
Three of the five largest fines (TikTok, LinkedIn, Uber) involved data transfers outside the EU. Anonymizing data before it crosses borders eliminates the need for Standard Contractual Clauses, adequacy decisions, or Transfer Impact Assessments, because GDPR simply does not apply to non-personal data.
3. Data breaches are expensive, but only when the data is usable
Meta's €251M fine and Apotheka's €3M fine both stem from breaches. In both cases, the data exposed was fully identifiable. If pseudonymization or anonymization had been applied at rest, the breach would still have occurred, but the regulatory and reputational damage would have been near zero.
4. Enforcement is accelerating, not slowing down
Total GDPR fines since 2018 now exceed €5.88 billion. The Irish DPC alone issued four of the top five fines in this period. The trend is clear: regulators are getting faster, bolder, and more technically sophisticated.
The Takeaway
Most enterprises treat anonymization as a nice-to-have, something for analytics teams or research departments. The data from 2024–2025 tells a different story. Anonymization is the single most effective measure to reduce GDPR exposure across transfers, breaches, profiling, and employee monitoring.
The question is not whether you can afford to anonymize your data. It is whether you can afford not to.
Maya Data Privacy helps enterprises anonymize sensitive data across SAP systems, unstructured documents, and AI pipelines. Automatically, at scale, and without breaking referential integrity. If you want to understand how anonymization applies to your specific GDPR risk profile, talk to us.
Sources: DLA Piper GDPR Data Breach Survey 2025, CMS GDPR Enforcement Tracker, official DPA decisions (Irish DPC, Dutch AP, CNIL, Garante, Estonian DPA).




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