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Federated Learning Market Size, Share, Opportunities, And Trends By Component (Hardware, Software), By Enterprise Size (Large Enterprises, Small And Medium Enterprises), By End-User (Banking, Financial Services, And Insurance (BFSI), Retail And E-Commerce, Healthcare, IT & Telecommunication, Automotive, Others), And By Geography – Forecasts From 2025 To 2030

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Table of Contents

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations

3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. Federated Learning Market by Component

5.1. Introduction

5.2. Hardware

5.3. Software

6. Federated Learning Market BY Enterprise Size

6.1. Introduction

6.2. Large Enterprises

6.3. Small and Medium Enterprises

7. Federated Learning Market BY End-User

7.1. Introduction

7.2. Banking, Financial Services, and Insurance (BFSI)

7.3. Retail and E-Commerce

7.4. Healthcare

7.5. IT and Telecommunication

7.6. Automotive

7.7. Others

8.  Federated Learning Market BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. USA

8.2.2. Canada

8.2.3. Mexico

8.3. South America

8.3.1. Brazil

8.3.2. Argentina

8.3.3. Others

8.4. Europe

8.4.1. United Kingdom

8.4.2. Germany

8.4.3. France

8.4.4. Italy

8.4.5. Spain

8.4.6. Others

8.5. Middle East & Africa

8.5.1. Saudi Arabia

8.5.2. UAE

8.5.3. Others

8.6. Asia Pacific

8.6.1. China

8.6.2. India

8.6.3. Japan

8.6.4. South Korea

8.6.5. Thailand

8.6.6. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. NVIDIA Corporation

10.2. Cloudera INC.

10.3. IBM Corporation

10.4. Microsoft Corporation

10.5. Alphabet Inc.

10.6. Owkin Inc.

10.7. Apheris AI GmbH

10.8.  FedML, Inc.

10.9. Intel Corporation

10.10. Sherpa.AI

11. APPENDIX

11.1. Currency

11.2. Assumptions

11.3. Base and Forecast Years Timeline

11.4. Key benefits for the stakeholders

11.5. Research Methodology

11.6. Abbreviations

REPORT DETAILS

Report ID:KSI061617579
Published:Jul 2025
Pages:140
Format:PDF, Excel, PPT, Dashboard
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