The Federated Learning Solutions market is expected to grow from USD 91.5 Million in 2020 to USD 210.86 Million by 2028, at a CAGR of 11% during the forecast period 2021-2028.
Federated learning is a machine learning technique that allows an algorithm to be trained across a large number of decentralized edge devices as well as servers that store local data without having to swap data. In addition, Google recently released its federated learning tool, the first of its type, which can provide various applications such as context recommendation, on-equipment item evaluation, and next term prediction. Artificial intelligence and machine learning technologies are being used and adopted across various verticals, which is changing the market's overall form. Federated learning solutions are a new type of machine learning approach that may be utilized to train an AI model. Firms may improve their business models and make efficient use of AI in the healthcare and pharmaceutical industries, resulting in increased profitability. Federated learning solutions are being used to tackle the challenge of creating a machine learning model that uses cross-platform information. Furthermore, federated learning systems have the capacity to bring new predictive capabilities to smart equipment, allowing consumers to have a consistent experience while still protecting their personal information.
The growing requirement to increase learning between devices and organizations is likely to drive the federated learning solutions market during the projected period. Also, the market is expected to be boosted by a growing demand for greater data security and privacy by training algorithms on decentralized devices. The market is expected to be driven by the growing requirement to adjust data in real-time to improve conversions automatically. By storing data on devices, federated learning solutions enable businesses to collaborate on a common machine learning model. In the coming years, this is likely to grow the market for federated learning solutions. In the next few years, the market is likely to be driven by the growing requirement to allow predictive functions on smart devices without exposing personal information or negatively influencing user experience. However, the federated learning solutions market is expected to be hampered by a lack of qualified technical experience, interoperability problems, and system heterogeneity.
This study delivers a comprehensive analysis of vertical and region. The vertical segment includes healthcare and life sciences; manufacturing; e-commerce and retail; banking, financial services, and insurance; energy and utilities; telecommunications and IT; media and entertainment; and government. The healthcare and life sciences segment dominated the market and held the largest market share in 2020.
The market has been divided into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America holds the largest market share in the U.S. in 2020, owing to the existence of industrialized economies. Because of its early acceptance and deployment of federated learning systems, the United States is a leading market in the region. Due to strict data rules and an emphasis on innovation via research, as well as a strong focus on data privacy and quick technological infrastructural developments, Europe is expected to account for a significant market share. In the coming years, the Asia Pacific federated learning solutions market is expected to grow at a quick rate. The federated learning solutions market is expected to benefit from the rising use of new technologies like Big Data analytics, machine learning, artificial intelligence, and IoT in the near future.
Some of the notable players in the market are Amazon Redshift, Cloudera (US), Consilient (US), DataFleets (US), Decentralized Machine Learning (Singapore), Edge Delta (US), Enveil (US), Google (US), IBM (US), Inzata, Intelligence (UK), Lifebit (UK), Microsoft (US), NVIDIA (US), OmniSci, Owkin (US), SambaNova Systems, Secure AI Labs (US), Sherpa.ai (Spain), Snowflake, Teradata Vantage, and Vertica.
Federated Learning Solutions Market Analysis and Forecast, Vertical
Federated Learning Solutions Market Analysis and Forecast, Region
Report Description:
1. Introduction
1.1. Objectives of the Study
1.2. Market Definition
1.3. Research Scope
1.4. Currency
1.5. Key Target Audience
2. Research Methodology and Assumptions
3. Executive Summary
4. Premium Insights
4.1. Porter’s Five Forces Analysis
4.2. Value Chain Analysis
4.3. Top Investment Pockets
4.3.1. Market Attractiveness Analysis by Vertical
4.3.2. Market Attractiveness Analysis by Region
4.4. Industry Trends
5. Market Dynamics
5.1. Market Evaluation
5.2. Drivers
5.2.1. Increasing need to increase learning between devices and organization
5.2.2. Potential to provide greater data privacy and security by using decentralised devices to train algorithms
5.3. Restraints
5.3.1. Scarcity of qualified technical expertise
6. Global Federated Learning Solutions Market Analysis and Forecast, By Vertical
6.1. Segment Overview
6.2. Healthcare and Life Sciences
6.3. Manufacturing
6.4. e-Commerce and Retail
6.5. Banking, Financial Services, and Insurance
6.6. Energy and Utilities
6.7. Telecommunications and IT
6.8. Media and Entertainment
6.9. Government
7. Global Federated Learning Solutions Market Analysis and Forecast, By Regional Analysis
7.1. Segment Overview
7.2. North America
7.2.1. U.S.
7.2.2. Canada
7.2.3. Mexico
7.3. Europe
7.3.1. Germany
7.3.2. France
7.3.3. U.K.
7.3.4. Italy
7.3.5. Spain
7.4. Asia-Pacific
7.4.1. Japan
7.4.2. China
7.4.3. India
7.5. South America
7.5.1. Brazil
7.6. Middle East and Africa
7.6.1. UAE
7.6.2. South Africa
8. Global Federated Learning Solutions Market-Competitive Landscape
8.1. Overview
8.2. Market Share of Key Players in Global Federated Learning Solutions Market
8.2.1. Global Company Market Share
8.2.2. North America Company Market Share
8.2.3. Europe Company Market Share
8.2.4. APAC Company Market Share
8.3. Competitive Situations and Trends
8.3.1. Product Launches and Developments
8.3.2. Partnerships, Collaborations, and Agreements
8.3.3. Mergers & Acquisitions
8.3.4. Expansions
9. Company Profiles
9.1. Amazon Redshift
9.1.1. Business Overview
9.1.2. Company Snapshot
9.1.3. Company Market Share Analysis
9.1.4. Company Product Portfolio
9.1.5. Recent Developments
9.1.6. SWOT Analysis
9.2. Cloudera
9.2.1. Business Overview
9.2.2. Company Snapshot
9.2.3. Company Market Share Analysis
9.2.4. Company Product Portfolio
9.2.5. Recent Developments
9.2.6. SWOT Analysis
9.3. Consilient
9.3.1. Business Overview
9.3.2. Company Snapshot
9.3.3. Company Market Share Analysis
9.3.4. Company Product Portfolio
9.3.5. Recent Developments
9.3.6. SWOT Analysis
9.4. DataFleets
9.4.1. Business Overview
9.4.2. Company Snapshot
9.4.3. Company Market Share Analysis
9.4.4. Company Product Portfolio
9.4.5. Recent Developments
9.4.6. SWOT Analysis
9.5. Decentralized Machine Learning
9.5.1. Business Overview
9.5.2. Company Snapshot
9.5.3. Company Market Share Analysis
9.5.4. Company Product Portfolio
9.5.5. Recent Developments
9.5.6. SWOT Analysis
9.6. Edge Delta
9.6.1. Business Overview
9.6.2. Company Snapshot
9.6.3. Company Market Share Analysis
9.6.4. Company Product Portfolio
9.6.5. Recent Developments
9.6.6. SWOT Analysis
9.7. Enveil
9.7.1. Business Overview
9.7.2. Company Snapshot
9.7.3. Company Market Share Analysis
9.7.4. Company Product Portfolio
9.7.5. Recent Developments
9.7.6. SWOT Analysis
9.8. Google
9.8.1. Business Overview
9.8.2. Company Snapshot
9.8.3. Company Market Share Analysis
9.8.4. Company Product Portfolio
9.8.5. Recent Developments
9.8.6. SWOT Analysis
9.9. IBM
9.9.1. Business Overview
9.9.2. Company Snapshot
9.9.3. Company Market Share Analysis
9.9.4. Company Product Portfolio
9.9.5. Recent Developments
9.9.6. SWOT Analysis
9.10. Inzata
9.10.1. Business Overview
9.10.2. Company Snapshot
9.10.3. Company Market Share Analysis
9.10.4. Company Product Portfolio
9.10.5. Recent Developments
9.10.6. SWOT Analysis
9.11. Intelligence
9.11.1. Business Overview
9.11.2. Company Snapshot
9.11.3. Company Market Share Analysis
9.11.4. Company Product Portfolio
9.11.5. Recent Developments
9.11.6. SWOT Analysis
9.12. Lifebit
9.12.1. Business Overview
9.12.2. Company Snapshot
9.12.3. Company Market Share Analysis
9.12.4. Company Product Portfolio
9.12.5. Recent Developments
9.12.6. SWOT Analysis
9.13. Microsoft
9.13.1. Business Overview
9.13.2. Company Snapshot
9.13.3. Company Market Share Analysis
9.13.4. Company Product Portfolio
9.13.5. Recent Developments
9.13.6. SWOT Analysis
9.14. NVIDIA
9.14.1. Business Overview
9.14.2. Company Snapshot
9.14.3. Company Market Share Analysis
9.14.4. Company Product Portfolio
9.14.5. Recent Developments
9.14.6. SWOT Analysis
9.15. OmniSci
9.15.1. Business Overview
9.15.2. Company Snapshot
9.15.3. Company Market Share Analysis
9.15.4. Company Product Portfolio
9.15.5. Recent Developments
9.15.6. SWOT Analysis
9.16. Owkin
9.16.1. Business Overview
9.16.2. Company Snapshot
9.16.3. Company Market Share Analysis
9.16.4. Company Product Portfolio
9.16.5. Recent Developments
9.16.6. SWOT Analysis
9.17. SambaNova Systems
9.17.1. Business Overview
9.17.2. Company Snapshot
9.17.3. Company Market Share Analysis
9.17.4. Company Product Portfolio
9.17.5. Recent Developments
9.17.6. SWOT Analysis
9.18. Secure AI Labs
9.18.1. Business Overview
9.18.2. Company Snapshot
9.18.3. Company Market Share Analysis
9.18.4. Company Product Portfolio
9.18.5. Recent Developments
9.18.6. SWOT Analysis
9.19. Sherpa.ai
9.19.1. Business Overview
9.19.2. Company Snapshot
9.19.3. Company Market Share Analysis
9.19.4. Company Product Portfolio
9.19.5. Recent Developments
9.19.6. SWOT Analysis
9.20. Snowflake
9.20.1. Business Overview
9.20.2. Company Snapshot
9.20.3. Company Market Share Analysis
9.20.4. Company Product Portfolio
9.20.5. Recent Developments
9.20.6. SWOT Analysis
9.21. Teradata Vantage
9.21.1. Business Overview
9.21.2. Company Snapshot
9.21.3. Company Market Share Analysis
9.21.4. Company Product Portfolio
9.21.5. Recent Developments
9.21.6. SWOT Analysis
9.22. Vertica
9.22.1. Business Overview
9.22.2. Company Snapshot
9.22.3. Company Market Share Analysis
9.22.4. Company Product Portfolio
9.22.5. Recent Developments
9.22.6. SWOT Analysis
List of Table
1. Global Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
2. Global Healthcare and Life Sciences; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
3. Global Manufacturing; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
4. Global e-Commerce and Retail; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
5. Global Banking, Financial Services, and Insurance; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
6. Global Energy and Utilities; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
7. Global Telecommunications and IT; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
8. Global Media and Entertainment; Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
9. Global Government, Federated Learning Solutions Market, By Region, 2018-2028 (USD Million)
10. North America Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
11. U.S. Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
12. Canada Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
13. Mexico Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
14. Europe Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
15. Germany Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
16. France Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
17. U.K. Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
18. Italy Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
19. Spain Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
20. Asia Pacific Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
21. Japan Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
22. China Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
23. India Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
24. South America Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
25. Brazil Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
26. Middle East and Africa Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
27. UAE Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
28. South Africa Federated Learning Solutions Market, By Vertical, 2018-2028 (USD Million)
List of Figures
1. Global Federated Learning Solutions Market Segmentation
2. Global Federated Learning Solutions Market: Research Methodology
3. Market Size Estimation Methodology: Bottom-Up Approach
4. Market Size Estimation Methodology: Top-Down Approach
5. Data Triangulation
6. Porter’s Five Forces Analysis
7. Value Chain Analysis
8. Global Federated Learning Solutions Market Attractiveness Analysis By Vertical
9. Global Federated Learning Solutions Market Attractiveness Analysis By Region
10. Global Federated Learning Solutions Market: Dynamics
11. Global Federated Learning Solutions Market Share by Vertical (2021 & 2028)
12. Global Federated Learning Solutions Market Share by Regions (2021 & 2028)
13. Global Federated Learning Solutions Market Share by Company (2020)
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