Federated Learning Solutions Competitor Analysis Report - Global Forecast to 2026

Federated Learning Solutions Competitor Analysis Report - Global Forecast to 2026

  • June 2021 •
  • 59 pages •
  • Report ID: 6146879 •
  • Format: PDF
Federated Learning Solutions Competitor Analysis Report - Global Forecast to 2026

The Global Federated Learning Solutions Market size was estimated at USD 95.13 Million in 2020 and expected to reach USD 109.32 Million in 2021, at a Compound Annual Growth Rate (CAGR) 15.04% to reach USD 220.56 Million by 2026.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Federated Learning Solutions Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

"International Business Machines Corporation scored highest as a forefront vendor in FPNV Positioning Matrix for Federated Learning Solutions Market"

Forefront are rated highly by the users for product satisfaction and have substantially good business strategy scores. F-Forefront include International Business Machines Corporation, Cloudera, Inc., Google LLC by Alphabet Inc., Nvidia Corporation, and Owkin Inc..

"Lifebit scored highest as a pathfinder and expected to the upcoming forefront in next couple of years"

Pathfinder have significant product satisfaction ratings but somehow lack business strategy as compared to forefronts and vitals. P-Pathfinder include Lifebit, Intellegens Limited, Consilient, Sherpa.ai, Edge Delta, Inc., and DataFleets Ltd..

"Decentralized Machine Learning named as an upcoming vendor to watch in Federated Learning Solutions Market"

Niche solutions cater to the need of comparatively smaller segment of the overall market. They do not have the business strategy of the Forefront. They may have been rated positively on product satisfaction but have not yet received enough reviews to validate them. N-Niche include Decentralized Machine Learning, Enveil, Inc., and Extreme Vision.

"Innovative offerings by Microsoft Corporation expected to increase its product satisfaction level for Federated Learning Solutions Market in upcoming years"

Vital have comparatively good business strategy but have not yet achieved the business strategy of the Forefront. However, they have low product satisfaction ratings. V-Vital include Microsoft Corporation, WeBank Co., Ltd., and Secure AI Labs.

Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Federated Learning Solutions Market, including Cloudera, Inc., Consilient, DataFleets Ltd., Decentralized Machine Learning, Edge Delta, Inc., Enveil, Inc., Extreme Vision, Google LLC by Alphabet Inc., Intellegens Limited, International Business Machines Corporation, Lifebit, Microsoft Corporation, Nvidia Corporation, Owkin Inc., Secure AI Labs, Sherpa.ai, and WeBank Co., Ltd..