The Federated Learning market is accelerating.
From USD 166M in 2025 to over USD 403M by 2034.
But beyond the numbers, what really matters is why.
As this new report highlights, federated learning is becoming a strategic enabler for industries that cannot afford to compromise on data privacy — especially healthcare, finance, and critical infrastructures.
- Data stays local
- Models learn collaboratively
- Compliance is embedded by design
BETTER is building a federated, privacy-preserving AI infrastructure to enable secure collaboration across hospitals and research institutions in the field of rare diseases and complex conditions.
The report identifies Drug Discovery as one of the fastest-growing segments — and that is exactly where federated approaches unlock exponential value:
- Secure collaboration across institutions
- AI-driven model training on sensitive clinical data
- No raw data sharing
- Full alignment with regulatory requirements
As AI adoption accelerates, the real competitive advantage will not simply be “more data” — it will be better governed, interoperable, and privacy-preserving data ecosystems.