Press release
Federated Learning Market to Witness Huge Growth by 2024 - NVIDIA, Cloudera, IBM, Microsoft
DataM Intelligence has published a new research report on "Federated Learning Market Size 2024". The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.Get a Free Sample Research PDF - https://datamintelligence.com/download-sample/federated-learning-market
The Federated Learning market report majorly focuses on market trends, historical growth rates, technologies, and the changing investment structure. Additionally, the report shows the latest market insights, increasing growth opportunities, business strategies, and growth plans adopted by major players. Moreover, it contains an analysis of current market dynamics, future developments, and Porter's Five Forces Analysis.
Federated Learning is a decentralized machine learning technique where multiple devices collaborate to train a shared model without sharing their data directly. Instead, model updates are aggregated centrally while data remains decentralized, preserving privacy and reducing communication overhead.
Forecast Growth Projected:
The Global Federated Learning Market is anticipated to rise at a considerable rate during the forecast period, between 2024 and 2031. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
List of the Key Players in the Federated Learning Market:
NVIDIA, Cloudera, IBM, Microsoft, Google, Intel, IBM, Owkin, Intelligence, and Edge Delta
Segment Covered in the Federated Learning Market:
By Application (Drug Discovery, Shopping Experience Personalization, Data Privacy, and Security Management, Risk Management, Industrial Internet of Things, Online Visual Object Detection, Augmented Reality/Virtual Reality, Others)
By End-User (BFSI, Healthcare and Life Sciences, Retail and eCommerce, Manufacturing, Energy and Utilities, Automotive and Transportation, IT and Telecommunication, Others)
Regional Analysis:
The global Federated Learning Market report focuses on six major regions: North America, Latin America, Europe, Asia Pacific, the Middle East, and Africa.
Get Customization in the report as per your requierments: https://datamintelligence.com/customize/federated-learning-market
Regional Analysis:
The global Federated Learning Market report focuses on six major regions: North America, Latin America, Europe, Asia Pacific, the Middle East, and Africa. The report offers detailed insight into new product launches, new technology evolutions, innovative services, and ongoing R&D. The report discusses a qualitative and quantitative market analysis, including PEST analysis, SWOT analysis, and Porter's five force analysis. The Federated Learning Market report also provides fundamental details such as raw material sources, distribution networks, methodologies, production capacities, industry supply chain, and product specifications.
Chapter Outline:
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: key insights, key emerging trends, etc.
Chapter 3: Manufacturers competitive analysis, detailed analysis of Federated Learning manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 5 & 6: Revenue of Federated Learning in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: The main points and conclusions of the report.
Get a Free Sample PDF copy of the report @ https://datamintelligence.com/download-sample/federated-learning-market
FAQs
How fast is the Federated Learning Market growing?
The Federated Learning Market will exhibit a CAGR of 10.90% during the forecast period, 2024-2031.
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