+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
Sale

Federated Learning Solutions Market by Federal Learning Types, Vertical, Application - Global Forecast 2025-2030

  • PDF Icon

    Report

  • 196 Pages
  • October 2024
  • Region: Global
  • 360iResearch™
  • ID: 5322977
UP TO OFF until Dec 31st 2024
1h Free Analyst Time
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

The Federated Learning Solutions Market grew from USD 144.55 million in 2023 to USD 166.34 million in 2024. It is expected to continue growing at a CAGR of 15.22%, reaching USD 389.74 million by 2030.

Federated Learning Solutions represent a decentralized approach to machine learning, where models are trained across multiple devices or servers holding local data samples without exchanging them. This process enhances privacy, data security, and infrastructure efficiency, making it crucial in today's data-driven world. Its necessity is underscored by stringent data regulations, such as GDPR, promoting data security while maintaining analytical capabilities. Federated learning finds application in sectors like healthcare, finance, and IoT, enabling hospitals to enhance predictive analytics without compromising patient privacy or banks to improve fraud detection without sharing sensitive information. The end-use scope expands significantly as industries progressively rely on data-sharing models that align with privacy preservation. Key growth factors include rising data protection concerns, accelerated IoT adoption, and a surge in demand for personalized user experiences. Potential opportunities lie chiefly in sectors where data sensitivity is paramount; healthcare organizations, for example, can leverage these solutions to share clinical insights safely. Collaborations between tech companies and regulatory bodies could additionally open avenues for developing standardized federated learning frameworks. However, challenges persist, such as limited model accuracy due to heterogeneous data and computational burdens on local devices. The threat of adversarial attacks also remains a concern. Innovation and research are encouraged in areas like improving communication efficiency between devices, enhancing model accuracy across diverse data sets, and developing robust defense mechanisms against potential data breaches. Moreover, creating scalable solutions that accommodate the rapidly expanding IoT applications will be critical. Businesses should explore strategic partnerships with AI companies to foster innovation and address these challenges. The market for federated learning solutions is evolving, characterized by robust growth potential leveraged by advancements in AI and machine learning technologies, while navigating regulatory landscapes that could either facilitate or hinder widespread adoption.

Understanding Market Dynamics in the Federated Learning Solutions Market

The Federated Learning Solutions Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.
  • Market Drivers
    • Increasing Need for Learning between Device & Organisation
    • Increasing Focus on IIOt with Advances in Machine Learning
    • Ability to Ensure Better Data Privacy and Security by Training Algorithms on Decentralized Devices
  • Market Restraints
    • Lack of Skilled Technical Expertise
  • Market Opportunities
    • Organization's Potential to Leverage Shared ML Model by Storing Data on Device
    • Capability to Enable Predictive Features on Smart Devices without Impacting User Experience and Privacy
  • Market Challenges
    • Issue of High Latency and Communication Inefficiency

Exploring Porter’s Five Forces for the Federated Learning Solutions Market

Porter’s Five Forces framework further strengthens the insights of the Federated Learning Solutions Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.

Applying PESTLE Analysis to the Federated Learning Solutions Market

External macro-environmental factors deeply influence the performance of the Federated Learning Solutions Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.

Analyzing Market Share in the Federated Learning Solutions Market

The Federated Learning Solutions Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.

Evaluating Vendor Success with the FPNV Positioning Matrix in the Federated Learning Solutions Market

The Federated Learning Solutions Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.

Key Company Profiles

The report delves into recent significant developments in the Federated Learning Solutions Market, highlighting leading vendors and their innovative profiles. These include Acuratio Inc., apheris AI GmbH, Aptima, Inc., BranchKey B.V., Cloudera, Inc., Consilient, Duality Technologies Inc., Edge Delta, Inc., Ekkono Solutions AB, Enveil, Inc., Everest Global, Inc., Faculty Science Limited, FedML, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Integral and Open Systems, Inc., Intel Corporation, Intellegens Limited, International Business Machines Corporation, Lifebit Biotech Ltd., LiveRamp Holdings, Inc., Microsoft Corporation, Nvidia Corporation, Oracle Corporation, Owkin Inc., SAP SE, Secure AI Labs, Sherpa Europe S.L., SoulPage IT Solutions, TripleBlind, WeBank Co., Ltd., and Zoho Corporation Pvt. Ltd..

Market Segmentation & Coverage

This research report categorizes the Federated Learning Solutions Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Federal Learning Types
    • Centralized
    • Decentralized
    • Heterogeneous
  • Vertical
    • Banking, Financial Services, & 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
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report provides a detailed overview of the market, exploring several key areas:

  1. Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
  2. Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
  3. Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
  4. Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
  5. Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current size of the market, and how is it expected to grow?
  2. Which products, segments, and regions present the most attractive investment opportunities?
  3. What are the prevailing technology trends and regulatory factors influencing the market?
  4. How do top vendors rank regarding market share and competitive positioning?
  5. What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?

Table of Contents

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. 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. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing Need for Learning between Device & Organisation
5.1.1.2. Increasing Focus on IIOt with Advances in Machine Learning
5.1.1.3. Ability to Ensure Better Data Privacy and Security by Training Algorithms on Decentralized Devices
5.1.2. Restraints
5.1.2.1. Lack of Skilled Technical Expertise
5.1.3. Opportunities
5.1.3.1. Organization's Potential to Leverage Shared ML Model by Storing Data on Device
5.1.3.2. Capability to Enable Predictive Features on Smart Devices without Impacting User Experience and Privacy
5.1.4. Challenges
5.1.4.1. Issue of High Latency and Communication Inefficiency
5.2. Market Segmentation Analysis
5.2.1. Types: Techniques for training machine learning models while preserving data privacy
5.2.2. Vertical: Need-based preference for federated learning solutions across diverse industries
5.2.3. Application: Significance of federated learning solutions for wide scope of applications
5.3. Porter’s Five Forces Analysis
5.3.1. Threat of New Entrants
5.3.2. Threat of Substitutes
5.3.3. Bargaining Power of Customers
5.3.4. Bargaining Power of Suppliers
5.3.5. Industry Rivalry
5.4. PESTLE Analysis
5.4.1. Political
5.4.2. Economic
5.4.3. Social
5.4.4. Technological
5.4.5. Legal
5.4.6. Environmental
5.5. Client Customization
6. Federated Learning Solutions Market, by Federal Learning Types
6.1. Introduction
6.2. Centralized
6.3. Decentralized
6.4. Heterogeneous
7. Federated Learning Solutions Market, by Vertical
7.1. Introduction
7.2. Banking, Financial Services, & Insurance
7.3. Energy & Utilities
7.4. Healthcare & Life Sciences
7.5. Manufacturing
7.6. Retail & e-Commerce
8. Federated Learning Solutions Market, by Application
8.1. Introduction
8.2. Data Privacy & Security Management
8.3. Drug Discovery
8.4. Industrial Internet of Things
8.5. Online Visual Object Detection
8.6. Risk Management
8.7. Shopping Experience Personalization
9. Americas Federated Learning Solutions Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Federated Learning Solutions Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Federated Learning Solutions Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
12.3.1. Consilient Brings to Market its Next-Generation Federated Learning Solution for Financial Crime Detection
12.3.2. FedML Announces Partnership with Theta Network to Empower Collaborative Machine Learning for Generative AI and Ad Recommendation
12.3.3. EIC Grants Ekkono Solutions €2.5 Million in Funding for Federated Learning Software Development
List of Figures
FIGURE 1. FEDERATED LEARNING SOLUTIONS MARKET RESEARCH PROCESS
FIGURE 2. FEDERATED LEARNING SOLUTIONS MARKET SIZE, 2023 VS 2030
FIGURE 3. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2023 VS 2030 (%)
FIGURE 7. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 8. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2023 VS 2030 (%)
FIGURE 9. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 10. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 11. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 12. AMERICAS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 13. AMERICAS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 14. UNITED STATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 15. UNITED STATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 16. ASIA-PACIFIC FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 17. ASIA-PACIFIC FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 18. EUROPE, MIDDLE EAST & AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 20. FEDERATED LEARNING SOLUTIONS MARKET SHARE, BY KEY PLAYER, 2023
FIGURE 21. FEDERATED LEARNING SOLUTIONS MARKET, FPNV POSITIONING MATRIX, 2023
List of Tables
TABLE 1. FEDERATED LEARNING SOLUTIONS MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
TABLE 3. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. FEDERATED LEARNING SOLUTIONS MARKET DYNAMICS
TABLE 7. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY CENTRALIZED, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY DECENTRALIZED, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY HETEROGENEOUS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY BANKING, FINANCIAL SERVICES, & INSURANCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY DATA PRIVACY & SECURITY MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY DRUG DISCOVERY, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY INDUSTRIAL INTERNET OF THINGS, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY ONLINE VISUAL OBJECT DETECTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY SHOPPING EXPERIENCE PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 24. AMERICAS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 25. AMERICAS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 26. AMERICAS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 27. AMERICAS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 28. ARGENTINA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 29. ARGENTINA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 30. ARGENTINA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 31. BRAZIL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 32. BRAZIL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 33. BRAZIL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 34. CANADA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 35. CANADA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 36. CANADA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 37. MEXICO FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 38. MEXICO FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 39. MEXICO FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 40. UNITED STATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 41. UNITED STATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 42. UNITED STATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 43. UNITED STATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 44. ASIA-PACIFIC FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 45. ASIA-PACIFIC FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 46. ASIA-PACIFIC FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 47. ASIA-PACIFIC FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 48. AUSTRALIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 49. AUSTRALIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 50. AUSTRALIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 51. CHINA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 52. CHINA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 53. CHINA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 54. INDIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 55. INDIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 56. INDIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 57. INDONESIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 58. INDONESIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 59. INDONESIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 60. JAPAN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 61. JAPAN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 62. JAPAN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 63. MALAYSIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 64. MALAYSIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 65. MALAYSIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 66. PHILIPPINES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 67. PHILIPPINES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 68. PHILIPPINES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 69. SINGAPORE FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 70. SINGAPORE FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 71. SINGAPORE FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 72. SOUTH KOREA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 73. SOUTH KOREA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 74. SOUTH KOREA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 75. TAIWAN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 76. TAIWAN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 77. TAIWAN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 78. THAILAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 79. THAILAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 80. THAILAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 81. VIETNAM FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 82. VIETNAM FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 83. VIETNAM FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 84. EUROPE, MIDDLE EAST & AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 85. EUROPE, MIDDLE EAST & AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 86. EUROPE, MIDDLE EAST & AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 87. EUROPE, MIDDLE EAST & AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 88. DENMARK FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 89. DENMARK FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 90. DENMARK FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 91. EGYPT FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 92. EGYPT FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 93. EGYPT FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 94. FINLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 95. FINLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 96. FINLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 97. FRANCE FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 98. FRANCE FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 99. FRANCE FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 100. GERMANY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 101. GERMANY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 102. GERMANY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 103. ISRAEL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 104. ISRAEL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 105. ISRAEL FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 106. ITALY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 107. ITALY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 108. ITALY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 109. NETHERLANDS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 110. NETHERLANDS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 111. NETHERLANDS FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 112. NIGERIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 113. NIGERIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 114. NIGERIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 115. NORWAY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 116. NORWAY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 117. NORWAY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 118. POLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 119. POLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 120. POLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 121. QATAR FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 122. QATAR FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 123. QATAR FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 124. RUSSIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 125. RUSSIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 126. RUSSIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 127. SAUDI ARABIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 128. SAUDI ARABIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 129. SAUDI ARABIA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 130. SOUTH AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 131. SOUTH AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 132. SOUTH AFRICA FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 133. SPAIN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 134. SPAIN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 135. SPAIN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 136. SWEDEN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 137. SWEDEN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 138. SWEDEN FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 139. SWITZERLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 140. SWITZERLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 141. SWITZERLAND FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 142. TURKEY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 143. TURKEY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 144. TURKEY FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 145. UNITED ARAB EMIRATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 146. UNITED ARAB EMIRATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 147. UNITED ARAB EMIRATES FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 148. UNITED KINGDOM FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY FEDERAL LEARNING TYPES, 2018-2030 (USD MILLION)
TABLE 149. UNITED KINGDOM FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
TABLE 150. UNITED KINGDOM FEDERATED LEARNING SOLUTIONS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 151. FEDERATED LEARNING SOLUTIONS MARKET SHARE, BY KEY PLAYER, 2023
TABLE 152. FEDERATED LEARNING SOLUTIONS MARKET, FPNV POSITIONING MATRIX, 2023

Companies Mentioned

The leading players in the Federated Learning Solutions market, which are profiled in this report, include:
  • Acuratio Inc.
  • apheris AI GmbH
  • Aptima, Inc.
  • BranchKey B.V.
  • Cloudera, Inc.
  • Consilient
  • Duality Technologies Inc.
  • Edge Delta, Inc.
  • Ekkono Solutions AB
  • Enveil, Inc.
  • Everest Global, Inc.
  • Faculty Science Limited
  • FedML
  • Google LLC by Alphabet Inc.
  • Hewlett Packard Enterprise Development LP
  • Integral and Open Systems, Inc.
  • Intel Corporation
  • Intellegens Limited
  • International Business Machines Corporation
  • Lifebit Biotech Ltd.
  • LiveRamp Holdings, Inc.
  • Microsoft Corporation
  • Nvidia Corporation
  • Oracle Corporation
  • Owkin Inc.
  • SAP SE
  • Secure AI Labs
  • Sherpa Europe S.L.
  • SoulPage IT Solutions
  • TripleBlind
  • WeBank Co., Ltd.
  • Zoho Corporation Pvt. Ltd.

Methodology

Loading
LOADING...

Table Information