Federated Learning Solutions Market Size, Share, Growth Report 2030

Federated Learning Solutions Market

Federated Learning Solutions Market - By Vertical (Healthcare & Life Sciences, BFSI, MANUFACTURING, Retail & eCommerce, and Energy & Utilities), By Application (Drug Discovery and Industrial IoT), And By Region- Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Category: Technology & Media Report Format : PDF Pages: 130 Report Code: ZMR-6246 Published Date: May-2021 Status : Published

The Global Federated Learning Solutions Market Size Was Worth 109 (USD Million) in 2019 and Is Expected To Reach 197 (USD Million) by 2026, CAGR of 11.2%.

Federated Learning Solutions Market

Federated Learning Solutions Market Industry Perspective:

The global Federated Learning Solutions Market Size accrued earnings worth approximately 109 (USD Million) in 2019 and is predicted to gain revenue of about 197(USD Million) by 2026, is set to record a CAGR of nearly 11.2% over the period from 2020 to 2026. The report offers an assessment and analysis of the Federated Learning Solutions market on a global and regional level. The study offers a comprehensive assessment of the market competition, constraints, revenue estimates, opportunities, evolving trends, and industry-validated data. The report provides historical data from 2017 to 2019 along with a forecast from 2020 to 2026 based on revenue (USD Million).

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Federated Learning Solutions Industry: Overview

Federated learning is a kind of machine learning method that helps in the training of an algorithm across many of the decentralized edge equipment as well as servers storing local information without swapping. Citing an instance, Google launched its federated learning tool – the first of its kind- that has the ability to produce many applications like context suggestion, on-equipment item ranking, and next-word prediction. Firms can enhance business models & effectively make use of AI in the healthcare as well as pharmaceutical sectors, thereby increasing their profits. Furthermore, federated learning solutions have the ability to add new predictive features on smart equipment, thereby providing a seamless experience to the user along with securing the confidential information of the users.

Federated Learning Solutions Industry: Growth Drivers

The escalating necessity for improving learning for various organizations will steer the market growth over the forecast timeline. The onset of AI-connected things and big data analytics has translated into humungous growth of the federated learning solutions market in recent years. Firms use federated learning for training algorithms on myriad datasets without data exchange and this will elate the growth of the federated learning solutions industry over the projected timeframe. The growing use of cloud technology is likely to pave a way for the expansion of the federated learning solutions market over the assessment period.

Furthermore, massive use of federated learning services in BFSI, life sciences, energy & utilities, healthcare, IT & telecom, eCommerce, production processes, government, and entertainment & media will embellish the business growth in the years ahead.

Federated Learning Solutions Market Report Scope:

Report Attributes Report Details
Report Name Federated Learning Solutions Market Research Report
Market Size in 2019 USD 109 Million
Market Forecast in 2026 USD 197 Million
Compound Annual Growth Rate CAGR of 11.2%
Number of Pages 142
Forecast Units Value (USD Billion), and Volume (Units)
Key Companies Covered NVIDIA, Inc., Google, Inc., IBM, Cloudera, Owkin, DataFleets, Edge Delta, Sherpa, Consilient, Enveil, Secure AI Labs, Intellegens, and Lifebit.
Segments Covered By Vertical, By Application, And By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA)
Countries Covered North America: U.S and Canada
Europe: Germany, Italy, Russia, U.K, Spain, France, Rest of Europe
APAC: China, Australia, Japan, India, South Korea, South East Asia, Rest of Asia Pacific
Latin America: Brazil, Argentina, Chile
The Middle East And Africa: South Africa, GCC, Rest of MEA
Base Year 2021
Historical Year 2016 to 2020
Forecast Year 2022 - 2030
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

 

Europe Market Size To Experience Highest Surge By 2026

The expansion of federated learning solutions industry in Europe over 2020-2026 is due to steep increase in the acceptance of novel techniques in the countries such as Germany, UK, and France. In addition to this, presence of giant players in these countries will further attribute to the regional market growth. Strict laws by EU and rise in need for data privacy will result into large-scale growth of the industry in the continent in the foreseeable future.

Key Market Players & Competitive Landscape

Key players leveraging the business growth include

  • NVIDIA, Inc.
  • Google, Inc.
  • IBM
  • Cloudera
  • Owkin
  • DataFleets
  • Edge Delta
  • Sherpa
  • Consilient
  • Enveil
  • Secure AI Labs
  • Intellegens
  • Lifebit.

The global Federated Learning Solutions Market is segmented as follows:

By Vertical

  • Healthcare & Life Sciences
  • BFSI
  • MANUFACTURING
  • Retail & eCommerce
  • Energy & Utilities

By Application

  • Drug Discovery
  • Industrial IoT

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

Methodology

FrequentlyAsked Questions

Escalating necessity for improving learning for various organizations will steer the market growth over the forecast timeline. Onset of AI, connected things, and big data analytics has translated into humungous growth of federated learning solutions market in the recent years. Firms use federated learning for training algorithms on myriad datasets without data exchange and this will elate the growth of federated learning solutions industry over the projected timeframe. Growing use of cloud technology is likely to pave a way for expansion of federated learning solutions market over assessment period.

Furthermore, massive use of federated learning services in BFSI, life sciences, energy & utilities, healthcare, IT & telecom, eCommerce, production processes, government, and entertainment & media will embellish the business growth in the years ahead.

According to Zion market research report, the global Federated Learning Solutions market accrued earnings worth approximately 109 (USD Million) in 2019 and is predicted to gain revenue of about 197(USD Million) by 2026, is set to record a CAGR of nearly 11.2% over the period from 2020 to 2026.

Europe will contribute lucratively towards the global market size over the estimated timeline. The regional market surge is due to steep increase in the acceptance of novel techniques in the countries such as Germany, UK, and France. In addition to this, presence of giant players in these countries will further attribute to the regional market growth. Strict laws by EU and rise in need for data privacy will result into large-scale growth of the industry in the continent in the foreseeable future.

 

Key players leveraging the business growth include NVIDIA, Inc., Google, Inc., IBM, Cloudera, Owkin, DataFleets, Edge Delta, Sherpa, Consilient, Enveil, Secure AI Labs, Intellegens, and Lifebit.

 

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