Federated Learning Solutions Market is Anticipated to Increase at a Stable CAGR over the Forecast Period (2023 to 2029)

Federated learning solutions market is anticipated to grow at a significant CAGR of 10.5% during the forecast period. The rising penetration of mobile phones, wearable devices, and autonomous vehicles is generating new opportunities for the market by generating a wealth of data every day through modern distributed networks. The growing computational power with concerns related to transmitting private information is attracting local data storage and network computation on edge devices. Federated learning has such potential to provide a user experience without leaking private information. Several industries including BFSI, healthcare & life sciences, and retail & e-commerce collect gigantic amounts of data every day from consumer devices including mobile phones, tablets, and personal laptops. Federated learning provides a unique approach to build such personalized models without intruding on the privacy of users.

The lack of skilled technicians and engineers who have the knowledge of new federated learning architecture with deployment and maintenance of machine learning models is a major challenging factor that will restrain the market growth. Additionally, there is no security guarantee that the important pieces of information, like credit card numbers, will not get leaked from an optimization algorithm, like Stochastic Gradient Descent.

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Market Coverage

  • The market number available for – 2021-2029
  • Base year- 2021
  • Forecast period- 2023-2029

Segment Covered- 

  • By Vertical
  • By Application

Regions Covered-

  • North America
  • Europe
  • Asia-Pacific
  • Rest of the World
  • Competitive Landscape- includes Nvidia Corp., Cloudera, Inc., IBM Corp., Microsoft Corp., Google LLC, and OWKIN, INC.

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Federated Learning Solutions Market Report Segment

By Vertical

  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & e-Commerce
  • Manufacturing
  • Energy & Utilities
  • Other Verticals (including Telecommunications and IT, Media and Entertainment, and Government)

By Application

  • Drug Discovery
  • Data Privacy & Security Management
  • Risk Management
  • Shopping Experience Personalization
  • Industrial Internet of Things (IIoT)
  • Online Visual Object Detection
  • Other Applications (including Video Analytics, Corporate IT, Genomics, and Anomaly Detection)

Federated Learning Solutions Market Report Segment by Region

North America                                                                                                                                                                            

  • United States
  • Canada

Europe

  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe

Asia-Pacific

  • India
  • China
  • Japan
  • South Korea
  • Rest of APAC

Rest of the World

  • Latin America
  • Middle East and Africa

Company Profiles 

  • Amazon Redshift
  • Cloudera, Inc.
  • Consilient Technologies Pvt. Ltd.
  • DataFleets Ltd.
  • Decentralized Machine Learning
  • Edge Delta, Inc.
  • Enveil
  • Google LLC
  • IBM Corp.
  • Impetus Technologies, Inc.
  • Infosys Ltd.
  • Inzata
  • Lifebit
  • Microsoft Corp.
  • NVIDIA Corp.
  • OmniSci, Inc.
  • Owkin, Inc.
  • SambaNova Systems
  • Secure AI Labs
  • ai
  • Snowflake Inc.
  • Tata Consultancy Services Ltd.
  • Teradata Ventage
  • Vertica Systems, Inc.

Reasons to buy from us –

  1. We cover more than 15 major industries, further segmented into more than 90 sectors.
  2. More than 120 countries are for analysis.
  3. Over 100+ paid data sources mined for investigation.
  4. Our expert research analysts answer all your questions before and after purchasing your report.

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