Federated Learning Solutions Market Forecasts to 2028 – Global Analysis By Application (IIoT, Risk Management), End User (BFSI, Healthcare & Life Sciences, Manufacturing, Retail and E-Commerce) and By Geography
According to Stratistics MRC, the Global Federated Learning Solutions Market is accounted for $83.14 million in 2020 and is expected to reach $227.36 million by 2028 growing at a CAGR of 13.4% during the forecast period. The ability to ensure better data privacy, security by training algorithms on decentralized devices and the growing need to increase learning between devices & organizations are driving the market growth. However, a lack of skilled technical expertise is hampering the growth of the market.
Federated Learning is a machine learning setting where the objective is to train a high-quality unified model with training data distributed over a large number of clients each with unreliable and relatively slow network connections. Federated learning (also known as collaborative learning) is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without switching them.
Based on the end-user, the manufacturing segment is going to have lucrative growth during the forecast period. Smart manufacturing technologies are extensively accepted by manufacturers to advance the proficiency and efficiency of the industrial process while guaranteeing a high level of safety. In today’s competitive environment growing focus on IIoT with advances in artificial intelligence and machine learning manufacturers can access big data and use learning algorithms to analyze the data. But, the privacy of sensitive data for industries and manufacturing companies is a significant factor. Federated learning algorithms can be useful to these problems as they do not access or reveal any sensitive data.
By geography, Europe is going to have high growth during the forecast period. The market growth is accredited to the growing acceptance of technologies and the existence of a large number of federal learning solution vendors in the region. Other factors like stringent data regulations and rising demand for data privacy are predictable to increase the market in Europe.
Some of the key players profiled in the Federated Learning Solutions Market include Cloudera, Consilient, DataFleets, Decentralized Machine Learning, Edge Delta, Enveil, Extreme Vision, Google, IBM, Intellegens, Lifebit, Microsoft, NVIDIA, Owkin and Secure AI Labs company.
Estimated Market Size in 2020:
USD 83.14 million
Compound Annual Growth Rate (CAGR) from 2020 to 2028:
Predicted 2028 Value:
USD 227.36 million
Tables, Graphs& Figures
Application, End User and Region
Core Drivers and Opportunities:
Restraining Factors & Market Threats:
• Data privacy and Security Management
• Drug Discovery
• Industrial Internet of Things (IIoT)
• Online Visual Object Detection
• Risk Management
• Shopping Experience Personalization
• Other Applications
End Users Covered:
• Banking, Financial Services, and Insurance (BFSI)
• Energy and Utilities
• Healthcare and Life Sciences
• Retail and E-Commerce
• Other End Users
• North America
o Rest of Europe
• Asia Pacific
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2019, 2020, 2021, 2025 and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
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All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Key Questions Answered In The Report
The Global Federated Learning Solutions Market is majorly driven by the ability to ensure better data privacy and security by training algorithms on decentralized devices.
The manufacturing segment is growing at a highest CAGR owing to smart manufacturing technologies are extensively accepted by manufacturers to advance the proficiency and efficiency of the industrial process while guaranteeing a high level of safety.
North America dominated with a significant market share due to the factors such as stringent data regulations and high focus on data privacy, focus on innovation through research, expected to propel the growth across the region.
Europe market is growing at a highest CAGR owing to the growing acceptance of technologies and the existence of a large number of federal learning solution vendors in the region.
Key players in Federated Learning Solutions Market include Cloudera, Consilient, DataFleets, Decentralized Machine Learning, Edge Delta, Enveil, Extreme Vision, Google, IBM, Intellegens, Lifebit, Microsoft, NVIDIA, Owkinand Secure AI Labs Company.
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