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Federated Learning Trends and Forecast

The future of the global federated learning market looks promising with opportunities in the IT & telecommunication, healthcare & life sciences, BFSI, retail & e-commerce, and automotive markets. The global federated learning market is expected to reach an estimated $196 million by 2030 with a CAGR of 9.6% from 2024 to 2030. The major drivers for this market are growing demand for UWB-based real-time location systems, increasing demand for location-based and real-time systems and services in various industries, and growing need for geo-marketing.
Federated Learning Trends and Forecast

A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Federated Learning by Segment

Federated Learning by Segment

The study includes a forecast for the global federated learning by organization size, application, end use, and region.

Federated Learning Market by Organization Size [Shipment Analysis by Value from 2018 to 2030]:


• Large Enterprises
• SMEs

Federated Learning Market by Application [Shipment Analysis by Value from 2018 to 2030]:


• Industrial Internet of Things
• Drug Discovery
• Risk Management
• Augmented & Virtual Reality
• Data Privacy Management
• Others

Federated Learning Market by End Use [Shipment Analysis by Value from 2018 to 2030]:


• IT & Telecommunications
• Healthcare & Life Sciences
• BFSI
• Retail & E-Commerce
• Automotive
• Others

Federated Learning Market by Region [Shipment Analysis by Value from 2018 to 2030]:


• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Federated Learning Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies federated learning companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the federated learning companies profiled in this report include-
• Acuratio
• Cloudera
• Edge Delta
• Enveil
• FedML
• Google
• IBM
• Intel
• Lifebit
• NVIDIA

Federated Learning Market Insights

Lucintel forecasts that industrial internet of things will remain the largest segment over the forecast period due to its continuous improvement of AI models across multiple devices inside IIoT contexts.
Within this market, IT & telecommunication will remain the largest segment due to the ongoing demand for innovation and efficiency in IT and telecom needs the optimal exploitation of data without centralization.
Europe will remain the largest region over the forecast period due to shortage of labor and the rapidly developing biomedical and healthcare sectors in Europe.

Features of the Global Federated Learning Market

Market Size Estimates: Federated learning market size estimation in terms of value ($M).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Federated learning market size by organization size, application, end use, and region in terms of value ($M).
Regional Analysis: Federated learning market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different organization size, application, end use, and regions for the federated learning market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the federated learning market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the federated learning market size?
Answer: The global federated learning market is expected to reach an estimated $196 million by 2030.
Q2. What is the growth forecast for federated learning market?
Answer: The global federated learning market is expected to grow with a CAGR of 9.6% from 2024 to 2030.
Q3. What are the major drivers influencing the growth of the federated learning market?
Answer: The major drivers for this market are growing demand for UWB-based real-time location systems, increasing demand for location-based and real-time systems and services in various industries, and growing need for geo-marketing.
Q4. What are the major segments for federated learning market?
Answer: The future of the global federated learning market looks promising with opportunities in the IT & telecommunication, healthcare & life sciences, BFSI, retail & e-commerce, and automotive markets.
Q5. Who are the key federated learning market companies?
Answer: Some of the key federated learning companies are as follows:
• Acuratio
• Cloudera
• Edge Delta
• Enveil
• FedML
• Google
• IBM
• Intel
• Lifebit
• NVIDIA
Q6. Which federated learning market segment will be the largest in future?
Answer: Lucintel forecasts that industrial internet of things will remain the largest segment over the forecast period due to its continuous improvement of AI models across multiple devices inside IIoT contexts.
Q7. In federated learning market, which region is expected to be the largest in next 5 years?
Answer: Europe will remain the largest region over the forecast period due to shortage of labor and the rapidly developing biomedical and healthcare sectors in Europe.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the federated learning market by organization size (large enterprises and SMEs), application (industrial internet of things, drug discovery, risk management, augmented & virtual reality, data privacy management, and others), end use (IT & telecommunications, healthcare & life sciences, BFSI, retail & e-commerce, automotive, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to Federated Learning Market, Federated Learning Market Size, Federated Learning Market Growth, Federated Learning Market Analysis, Federated Learning Market Report, Federated Learning Market Share, Federated Learning Market Trends, Federated Learning Market Forecast, Federated Learning Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary
2. Global Federated Learning Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Federated Learning Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Federated Learning Market by Organization Size
3.3.1: Large Enterprises
3.3.2: SMEs
3.4: Global Federated Learning Market by Application
3.4.1: Industrial Internet of Things
3.4.2: Drug Discovery
3.4.3: Risk Management
3.4.4: Augmented & Virtual Reality
3.4.5: Data Privacy Management
3.4.6: Others
3.5: Global Federated Learning Market by End Use
3.5.1: IT & Telecommunications
3.5.2: Healthcare & Life Sciences
3.5.3: BFSI
3.5.4: Retail & E-commerce
3.5.5: Automotive
3.5.6: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Federated Learning Market by Region
4.2: North American Federated Learning Market
4.2.1: North American Federated Learning Market by Application: Industrial Internet of Things, Drug Discovery, Risk Management, Augmented & Virtual Reality, Data Privacy Management, and Others
4.2.2: North American Federated Learning Market by End Use: IT & Telecommunications, Healthcare & Life Sciences, BFSI, Retail & E-commerce, Automotive, and Others
4.3: European Federated Learning Market
4.3.1: European Federated Learning Market by Application: Industrial Internet of Things, Drug Discovery, Risk Management, Augmented & Virtual Reality, Data Privacy Management, and Others
4.3.2: European Federated Learning Market by End Use: IT & Telecommunications, Healthcare & Life Sciences, BFSI, Retail & E-commerce, Automotive, and Others
4.4: APAC Federated Learning Market
4.4.1: APAC Federated Learning Market by Application: Industrial Internet of Things, Drug Discovery, Risk Management, Augmented & Virtual Reality, Data Privacy Management, and Others
4.4.2: APAC Federated Learning Market by End Use: IT & Telecommunications, Healthcare & Life Sciences, BFSI, Retail & E-commerce, Automotive, and Others
4.5: ROW Federated Learning Market
4.5.1: ROW Federated Learning Market by Application: Industrial Internet of Things, Drug Discovery, Risk Management, Augmented & Virtual Reality, Data Privacy Management, and Others
4.5.2: ROW Federated Learning Market by End Use: IT & Telecommunications, Healthcare & Life Sciences, BFSI, Retail & E-commerce, Automotive, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Federated Learning Market by Organization Size
6.1.2: Growth Opportunities for the Global Federated Learning Market by Application
6.1.3: Growth Opportunities for the Global Federated Learning Market by End Use
6.1.4: Growth Opportunities for the Global Federated Learning Market by Region
6.2: Emerging Trends in the Global Federated Learning Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Federated Learning Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Federated Learning Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Acuratio
7.2: Cloudera
7.3: Edge Delta
7.4: Enveil
7.5: FedML
7.6: Google
7.7: IBM
7.8: Intel
7.9: Lifebit
7.10: NVIDIA
.

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A 150 Page Report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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