Federated Learning Market

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Federated Learning Market Size, Share and Industry Analysis Report By Application (Drug Discovery, Industrial IoT, Shopping Experience Personalization, Data Privacy and Security Management, Risk Management, Online Visual Object Detection, Augmented Reality/Virtual Reality and Others); By Vertical (Healthcare and Life Sciences, BFSI, Manufacturing, Automotive and Transportation, Energy and Utilities, IT and Telecommunication and Others) - Forecast Year 2024 – 2031

Information & Communications Technology // Digitalization and IoT

Number of Pages: 216 Report Format: pdf Report ID: ZBA-412 Publishing Date: - October, 2022

Frequently Ask Question

The Global Federated Learning Market Is Forecasted To Grow At A Rate Of 11.4% To USD 233.03 Million In 2029.

Key Factors That Are Driving The Market Growth Include Growing need to increase learning between devices and organizations, Ability to ensure better data privacy and security by training algorithms on decentralized devices, Growing adoption of federated learning in various applications for data privacy

The Federated Learning Market Is Led By Drug Discovery Segment And Is Projected To Account For The Largest Size Of The Federated Learning Market From 2022 To 2029.

Some Key Players Operating In The Federated Learning Market Include Acuratio, Apheris, Cloudera, Consilient, Datafleets, Decentralized Machine Learning, Edge Delta, Enveil, Fedml, Google, Ibm, Intel, Intellegens, Lifebit, Microsoft, Nvidia, Owkin, Secure Ai Labs, Sherpa.Ai