Federated Learning Market 2030

The Federated Learning market is projected to experience exponential growth due to its ability to train models across decentralized edge devices while keeping data private. This approach offers benefits such as improved privacy, reduced data transmission costs, and enhanced model personalization. The increasing demand for personalized services and the proliferation of IoT devices are driving the adoption of federated learning across various sectors. Solution providers that offer scalable, interoperable, and privacy-preserving federated learning platforms are well-positioned to capitalize on this growing market.