The global federated learning solutions market is anticipated to grow at a significant CAGR of 10.5% during the forecast period. The rising penetration of mobile phones, wearable devices, and autonomous vehicles is generating new opportunities for the market by generating a wealth of data every day through modern distributed networks. The growing computational power with concerns related to transmitting private information is attracting local data storage and network computation on edge devices. Federated learning has such potential to provide a user experience without leaking private information. Several industries including BFSI, healthcare & life sciences, and retail & e-commerce collect gigantic amounts of data every day from consumer devices including mobile phones, tablets, and personal laptops. Federated learning provides a unique approach to build such personalized models without intruding on the privacy of users.
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The lack of skilled technicians and engineers who have the knowledge of new federated learning architecture with deployment and maintenance of machine learning models is a major challenging factor that will restrain the market growth. Additionally, there is no security guarantee that the important pieces of information, like credit card numbers, will not get leaked from an optimization algorithm, like Stochastic Gradient Descent.
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- Market Coverage
- Market number available for – 2022-2028
- Base year- 2021
- Forecast period- 2022-2028
- Segment Covered- By Source, By Product Type, By Applications
- Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
- , and others
Market Segmentation
Global Federated Learning Solutions Market by Vertical
- Banking, Financial Services, and Insurance (BFSI)
- Healthcare & Life Sciences
- Retail & e-Commerce
- Manufacturing
- Energy & Utilities
- Other Verticals (including Telecommunications and IT, Media and Entertainment, and Government)
Global Federated Learning Solutions Market by Application
- Drug Discovery
- Data Privacy & Security Management
- Risk Management
- Shopping Experience Personalization
- Industrial Internet of Things (IIoT)
- Online Visual Object Detection
- Other Applications (including Video Analytics, Corporate IT, Genomics, and Anomaly Detection)
Regional Analysis
- North America
- United States
- Canada
- Europe
- UK
- Germany
- Italy
- Spain
- France
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Rest of Asia-Pacific
- Rest of the World
Company Profiles
- Amazon Redshift
- Cloudera, Inc.
- Consilient Technologies Pvt. Ltd.
- DataFleets Ltd.
- Decentralized Machine Learning
- Edge Delta, Inc.
- Enveil
- Google LLC
- IBM Corp.
- Impetus Technologies, Inc.
- Infosys Ltd.
- Inzata
- Lifebit
- Microsoft Corp.
- NVIDIA Corp.
- OmniSci, Inc.
- Owkin, Inc.
- SambaNova Systems
- Secure AI Labs
- ai
- Snowflake Inc.
- Tata Consultancy Services Ltd.
- Teradata Ventage
- Vertica Systems, Inc.
The Report Covers
- Market value data analysis of 2020 and forecast to 2027.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global federated learning solutions market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
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