How big is the federated learning market?

Federated Learning Solutions Market was valued at USD 120.8 Mn in 2022 . It's predicted to increase and become worth USD 311.4 Mn by 2032.

What is Federated Learning?

Federated Learning is a machine learning approach that enables training models across decentralized devices or servers while keeping data localized. It allows models to be developed without centralizing raw data, thereby preserving privacy and reducing data transfer.

What is the Federated Learning Solutions market?

The Federated Learning Solutions market refers to the industry involved in providing software, tools, platforms, and services that facilitate the implementation of federated learning. This includes companies that offer frameworks for model aggregation, privacy-preserving techniques, and other tools to enable efficient federated learning.

Which companies are using federated learning?

Some of the companies that are using federated learning include: Google Apple Microsoft IBM Intel Owkin Intellegens Edge Delta Enveil Lifebit DataFleets Secure AI Labs Sherpa.AI

What is an example of federated learning?

One example of federated learning is the development of a fraud detection model for credit card companies. In this case, each credit card company would train a local model on its own data, and then the models would be aggregated to create a global model. This would allow the companies to detect fraud without having to share their sensitive data with each other.

Who started federated learning?

Federated learning was first proposed by Google in 2016.

Global Federated Learning Market By Deployment (Cloud and On-Premises), By Applications (Industrial Internet of Things, Data Privacy Management, Drug Discovery, Augmented and Virtual Reality, Risk Management, and Other Applications), By Industry Vertical (Automotive, BFSI, Retail, IT & Telecommunication, Healthcare & Life Science, Manufacturing, Other Industry verticals), By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2023-2032

Published date: March 2024
Report ID: 105347
Number of Pages: 305
Format:

- Acuratio, Inc.
- apheresis AI GmbH
- Cloudera, Inc.
- Google LLC
- Enveil
- Edge Delta, Inc.
- FedML
- IBM Corporation
- AI.
- Nvidia Corporation
- Intel Corporation
- Lifebit
- Secure AI Labs
- Other Key Players
Settings

Related Reports

Our Clients

Inquiry Before Buying

Report ID 105347
Published Date March 2024
Rating
- ★★★★★
  
  ★★★★★
- (105)

Buy Now

Trusted by more than 17382 organizations globally

✖

Request a Sample Report

We'll get back to you as quickly as possible

	Single User $6,000 $3,999 USD / per unit save 24%	Multi User $8,000 $5,999 USD / per unit save 28%	Corporate User $10,000 $6,999 USD / per unit save 32%
e-Access
Report Library Access
Data Set (Excel)
Print
Company Profile Library Access
Interactive Dashboard
Free Custumization	No	up to 10 hrs work	up to 30 hrs work
Accessibility	1 User	2-5 User	Unlimited
Analyst Support	up to 20 hrs	up to 40 hrs	up to 50 hrs
Benefit	Up to 20% off on next purchase	Up to 25% off on next purchase	Up to 30% off on next purchase
	Buy Now ($ 3,999)	Buy Now ($ 5,999)	Buy Now ($ 6,999)