Federated Learning Solutions Market Intelligence Report - Global Forecast to 2027

Federated Learning Solutions Market Intelligence Report - Global Forecast to 2027

The Global Federated Learning Solutions Market is projected to reach USD 254.13 million by 2027 from USD 109.32 million in 2021, at a CAGR 15.09% during the forecast period.

Market Statistics:

The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2019 and 2020 are considered historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered the forecast period.

  • The Americas Federated Learning Solutions Market size was estimated at USD 35.78 million in 2021 and expected to reach USD 40.87 million in 2022, at a CAGR 14.85% to reach USD 82.13 million by 2027.
  • The Asia-Pacific Federated Learning Solutions Market size was estimated at USD 32.68 million in 2021 and expected to reach USD 37.71 million in 2022, at a CAGR 15.23% to reach USD 76.53 million by 2027.
  • The Europe, Middle East & Africa Federated Learning Solutions Market size was estimated at USD 40.85 million in 2021 and expected to reach USD 47.09 million in 2022, at a CAGR 15.19% to reach USD 95.46 million by 2027.

Market Segmentation & Coverage:

The report on federated learning solutions identifies key attributes about the customer to define the potential market and identify different needs across the industry. Understanding the potential customer group's economies and geographies can help gain business acumen for better strategic decision-making. Our market coverage across different industry verticals reveals the hidden truth about the players' strategies in different verticals and helps the organization decide target audience. This report gives you the composite view of sub-markets coupled with comprehensive industry coverage and provides you with the right way of accounting factors such as norms & regulations, culture, to make right coverage strategy for your market plan.

This research report categorizes the federated learning solutions to forecast the revenues and analyze the trends in each of the following sub-markets:

Vertical:

  • Banking, Financial Services, and Insurance
  • Energy & Utilities
  • Healthcare & Life Sciences
  • Manufacturing
  • Retail & e-Commerce

Application:

  • Data Privacy & Security Management
  • Drug Discovery
  • Industrial Internet of Things
  • Online Visual Object Detection
  • Risk Management
  • Shopping Experience Personalization

Region:

  • Americas
    • Argentina
    • Brazil
    • Canada
    • Mexico
    • United States
      • California
      • Florida
      • Illinois
      • New York
      • Ohio
      • Pennsylvania
      • Texas
  • Asia-Pacific
    • Australia
    • China
    • India
    • Indonesia
    • Japan
    • Malaysia
    • Philippines
    • Singapore
    • South Korea
    • Thailand
  • Europe, Middle East & Africa
    • France
    • Germany
    • Italy
    • Netherlands
    • Qatar
    • Russia
    • Saudi Arabia
    • South Africa
    • Spain
    • United Arab Emirates
    • United Kingdom

Company Usability Profiles:

  • Cloudera, Inc.
  • Consilient
  • DataFleets Ltd.
  • Decentralized Machine Learning
  • Edge Delta, Inc.
  • Enveil, Inc.
  • Extreme Vision
  • Google LLC by Alphabet Inc.
  • Intel Corporation
  • Intellegens Limited
  • International Business Machines Corporation
  • Lifebit
  • Microsoft Corporation
  • Nvidia Corporation
  • Owkin Inc.
  • Secure AI Labs
  • Sherpa.ai
  • WeBank Co., Ltd.
Currency: USD

Base Year: 2021

Estimated Year: 2022

Forecast Year: 2027

Base Year Value: USD 109.32 million

Estimated Year Value: USD 125.68 million

Forecast Year Value: USD 254.13 million

CAGR (%): 15.09%.

Please Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Market Overview
4. Americas Federated Learning Solutions Market
4.1. Introduction
4.2. Argentina
4.3. Brazil
4.4. Canada
4.5. Mexico
4.6. United States
5. Asia-Pacific Federated Learning Solutions Market
5.1. Introduction
5.2. Australia
5.3. China
5.4. India
5.5. Indonesia
5.6. Japan
5.7. Malaysia
5.8. Philippines
5.9. Singapore
5.10. South Korea
5.11. Thailand
6. Europe, Middle East & Africa Federated Learning Solutions Market
6.1. Introduction
6.2. France
6.3. Germany
6.4. Italy
6.5. Netherlands
6.6. Qatar
6.7. Russia
6.8. Saudi Arabia
6.9. South Africa
6.10. Spain
6.11. United Arab Emirates
6.12. United Kingdom
7. Company Usability Profiles
7.1. Cloudera, Inc.
7.2. Consilient
7.3. DataFleets Ltd.
7.4. Decentralized Machine Learning
7.5. Edge Delta, Inc.
7.6. Enveil, Inc.
7.7. Extreme Vision
7.8. Google LLC by Alphabet Inc.
7.9. Intel Corporation
7.10. Intellegens Limited
7.11. International Business Machines Corporation
7.12. Lifebit
7.13. Microsoft Corporation
7.14. Nvidia Corporation
7.15. Owkin Inc.
7.16. Secure AI Labs
7.17. Sherpa.ai
7.18. WeBank Co., Ltd.

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