Federated Learning Solutions Market by Vertical (Banking, Financial Services, and Insurance, Energy & Utilities, Healthcare & Life Sciences), Application (Data Privacy & Security Management, Drug Discovery, Industrial Internet of Things) - Global Forecast

Federated Learning Solutions Market by Vertical (Banking, Financial Services, and Insurance, Energy & Utilities, Healthcare & Life Sciences), Application (Data Privacy & Security Management, Drug Discovery, Industrial Internet of Things) - Global Forecast 2023-2030


The Federated Learning Solutions Market size was estimated at USD 125.68 million in 2022 and expected to reach USD 144.55 million in 2023, at a CAGR 15.19% to reach USD 389.74 million by 2030 .

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Federated Learning Solutions Market.
  • Based on Vertical, market is studied across Banking, Financial Services, and Insurance, Energy & Utilities, Healthcare & Life Sciences, Manufacturing, and Retail & e-Commerce. The Banking, Financial Services, and Insurance commanded largest market share of 46.23% in 2022, followed by Healthcare & Life Sciences.
  • Based on Application, market is studied across Data Privacy & Security Management, Drug Discovery, Industrial Internet of Things, Online Visual Object Detection, Risk Management, and Shopping Experience Personalization. The Data Privacy & Security Management commanded largest market share of 46.30% in 2022, followed by Drug Discovery.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Europe, Middle East & Africa commanded largest market share of 37.47% in 2022, followed by Americas.
Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Federated Learning Solutions Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Federated Learning Solutions Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

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, Cloudera, Inc., Consilient, Duality Technologies Inc., Edge Delta, Inc., Ekkono Solutions AB, Enveil, Inc., Faculty Science Limited, FedML, Google LLC by Alphabet Inc., Integral and Open Systems, Inc., Intel Corporation, Intellegens Limited, International Business Machines Corporation, Lifebit Biotech Ltd., LiveRamp Holdings, Inc., Microsoft Corporation, Nvidia Corporation, Owkin Inc., Secure AI Labs, Sherpa Europe S.L., SoulPage IT Solutions, TripleBlind, and WeBank Co., Ltd..

The report offers valuable insights on the following aspects:
  1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
  2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
  3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
  4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
  5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
  1. What is the market size and forecast for the Federated Learning Solutions Market?
  2. Which products, segments, applications, and areas hold the highest investment potential in the Federated Learning Solutions Market?
  3. What is the competitive strategic window for identifying opportunities in the Federated Learning Solutions Market?
  4. What are the latest technology trends and regulatory frameworks in the Federated Learning Solutions Market?
  5. What is the market share of the leading vendors in the Federated Learning Solutions Market?
  6. Which modes and strategic moves are suitable for entering the Federated Learning Solutions Market?


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. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Federated Learning Solutions Market, by Region
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
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. Federated Learning Solutions Market, by Vertical
6.1. Introduction
6.2. Banking, Financial Services, and Insurance
6.3. Energy & Utilities
6.4. Healthcare & Life Sciences
6.5. Manufacturing
6.6. Retail & e-Commerce
7. Federated Learning Solutions Market, by Application
7.1. Introduction
7.2. Data Privacy & Security Management
7.3. Drug Discovery
7.4. Industrial Internet of Things
7.5. Online Visual Object Detection
7.6. Risk Management
7.7. Shopping Experience Personalization
8. Americas Federated Learning Solutions Market
8.1. Introduction
8.2. Argentina
8.3. Brazil
8.4. Canada
8.5. Mexico
8.6. United States
9. Asia-Pacific Federated Learning Solutions Market
9.1. Introduction
9.2. Australia
9.3. China
9.4. India
9.5. Indonesia
9.6. Japan
9.7. Malaysia
9.8. Philippines
9.9. Singapore
9.10. South Korea
9.11. Taiwan
9.12. Thailand
9.13. Vietnam
10. Europe, Middle East & Africa Federated Learning Solutions Market
10.1. Introduction
10.2. Denmark
10.3. Egypt
10.4. Finland
10.5. France
10.6. Germany
10.7. Israel
10.8. Italy
10.9. Netherlands
10.10. Nigeria
10.11. Norway
10.12. Poland
10.13. Qatar
10.14. Russia
10.15. Saudi Arabia
10.16. South Africa
10.17. Spain
10.18. Sweden
10.19. Switzerland
10.20. Turkey
10.21. United Arab Emirates
10.22. United Kingdom
11. Competitive Landscape
11.1. FPNV Positioning Matrix
11.2. Market Share Analysis, By Key Player
11.3. Competitive Scenario Analysis, By Key Player
12. Competitive Portfolio
12.1. Key Company Profiles
12.1.1. Acuratio Inc.
12.1.2. apheris AI GmbH
12.1.3. Cloudera, Inc.
12.1.4. Consilient
12.1.5. Duality Technologies Inc.
12.1.6. Edge Delta, Inc.
12.1.7. Ekkono Solutions AB
12.1.8. Enveil, Inc.
12.1.9. Faculty Science Limited
12.1.10. FedML
12.1.11. Google LLC by Alphabet Inc.
12.1.12. Integral and Open Systems, Inc.
12.1.13. Intel Corporation
12.1.14. Intellegens Limited
12.1.15. International Business Machines Corporation
12.1.16. Lifebit Biotech Ltd.
12.1.17. LiveRamp Holdings, Inc.
12.1.18. Microsoft Corporation
12.1.19. Nvidia Corporation
12.1.20. Owkin Inc.
12.1.21. Secure AI Labs
12.1.22. Sherpa Europe S.L.
12.1.23. SoulPage IT Solutions
12.1.24. TripleBlind
12.1.25. WeBank Co., Ltd.
12.2. Key Product Portfolio
13. Appendix
13.1. Discussion Guide
13.2. License & Pricing

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