U.S. Federated Learning Market Size, Share & Trends Analysis Report By Organization Size (Large Enterprises, SEMs), By Industry Vertical (BFSI, Automotive), By Application (Drug Discovery, Industrial internet of things), And Segment Forecasts, 2026 - 2033

August 2026 | 100 pages | ID: U4E207FC103DEN
Grand View Research, Inc.

Abstracts

The U.S. federated learning market size was valued at USD 32.7 million in 2025 and is projected to grow from USD 36.5 million in 2026 to USD 127.8 million by 2033, at a CAGR of 19.6% from 2026 to 2033. The market is growing as enterprises increasingly deploy AI models across distributed devices while combining federated learning with secure aggregation, differential privacy, and edge MLOps to improve data security, model governance, and real-time AI performance without centralizing sensitive data.

The growing emphasis on data privacy is a major market driver. Organizations across healthcare & life sciences, banking, insurance, and government sectors are required to comply with strict regulations regarding the storage and sharing of sensitive data. Federated learning enables AI models to be trained without transferring raw data from local devices or servers, helping organizations maintain data security while complying with regulatory requirements. This approach reduces the risk of data breaches and supports the adoption of AI in industries where privacy is a key concern. As a result, enterprises are increasingly investing in federated learning solutions to develop secure and compliant AI applications.

The rapid adoption of artificial intelligence across industries such as Healthcare & Life Sciences, BFSI, manufacturing, and telecommunications is driving demand for federated learning in the U.S. Organizations are increasingly using AI for applications including disease diagnosis, fraud detection, predictive maintenance, and customer service. Since valuable data is often stored across multiple locations, federated learning enables organizations to collaboratively train AI models without centralizing their datasets. This improves model accuracy while protecting sensitive business and customer information. The growing deployment of AI-powered solutions across enterprises is therefore creating strong demand for federated learning technologies.

The expansion of edge computing infrastructure and the increasing number of connected devices are significantly contributing to market growth. Smartphones, IoT devices, autonomous vehicles, wearable devices, and industrial sensors continuously generate large volumes of data at the network edge. Federated learning allows AI models to be trained directly on these devices, reducing the need to transfer large datasets to centralized cloud platforms. This improves response times, lowers network bandwidth requirements, and enhances data security. As businesses continue investing in edge AI and distributed computing environments, the adoption of federated learning is expected to increase steadily.

U.S. Federated Learning Market Report Segmentation

This report forecasts revenue growth at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. federated learning market report based on organization size, application, and industry vertical:

• Organization Size Outlook (Revenue, USD Million, 2021 - 2033)
• SMEs
• Large Enterprises
• Application Outlook (Revenue, USD Million, 2021 - 2033)
• Drug Discovery
• Industrial internet of things
• Risk Management
• Augmented and Virtual Reality
• Data Privacy Management
• Others
• Industry Vertical Outlook (Revenue, USD Million, 2021 - 2033)
• BFSI
• Retail & E-commerce
• IT & Telecommunication
• Healthcare & Life Sciences
• Automotive
• Others

This report can be delivered to the clients within 4 Business Days

Contents

CHAPTER 1. METHODOLOGY AND SCOPE

1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
  1.3.1. Information Procurement
  1.3.2. Information or Data Analysis
  1.3.3. Market Formulation & Data Visualization
  1.3.4. Data Validation & Publishing
1.4. Research Scope and Assumptions
  1.4.1. List of Data Sources

CHAPTER 2. EXECUTIVE SUMMARY

2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights

CHAPTER 3. U.S. FEDERATED LEARNING MARKET VARIABLES, TRENDS, & SCOPE

3.1. Market Introduction/Lineage Outlook
3.2. Market Value Chain Analysis
3.3. Market Dynamics
  3.3.1. Market Drivers Analysis
  3.3.2. Market Restraints Analysis
  3.3.3. Industry Opportunities
  3.3.4. Industry Challenges
3.4. U.S. Federated Learning Market Analysis Tools
  3.4.1. Porter’s Analysis
  3.4.1.1. Bargaining power of the suppliers
  3.4.1.2. Bargaining power of the buyers
  3.4.1.3. Threats of substitution
  3.4.1.4. Threats from new entrants
  3.4.1.5. Competitive rivalry
  3.4.2. PESTEL Analysis
  3.4.2.1. Political landscape
  3.4.2.2. Economic and Social landscape
  3.4.2.3. Technological landscape
  3.4.2.4. Environmental landscape
  3.4.2.5. Legal landscape

CHAPTER 4. U.S. FEDERATED LEARNING MARKET: ORGANIZATION SIZE ESTIMATES & TREND ANALYSIS

4.1. Segment Dashboard
4.2. U.S. Federated Learning Market: Organization Size Movement Analysis, USD Million, 2025 & 2033
4.3. SMEs
  4.3.1. SMEs Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
4.4. Large Enterprises
  4.4.1. Large Enterprises Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

CHAPTER 5. U.S. FEDERATED LEARNING MARKET: APPLICATION ESTIMATES & TREND ANALYSIS

5.1. Segment Dashboard
5.2. U.S. Federated Learning Market: Application Movement Analysis, USD Million, 2025 & 2033
5.3. Drug Discovery
  5.3.1. Drug Discovery Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
5.4. Industrial internet of things
  5.4.1. Industrial internet of things Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
5.5. Risk Management
  5.5.1. Risk Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
5.6. Augmented and Virtual Reality
  5.6.1. Augmented and Virtual Reality Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
5.7. Data Privacy Management
  5.7.1. Data Privacy Management Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
5.8. Others
  5.8.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

CHAPTER 6. U.S. FEDERATED LEARNING MARKET: INDUSTRY VERTICAL ESTIMATES & TREND ANALYSIS

6.1. Segment Dashboard
6.2. U.S. Federated Learning Market: Industry Vertical Movement Analysis, USD Million, 2025 & 2033
6.3. BFSI
  6.3.1. BFSI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
6.4. Retail & E-commerce
  6.4.1. Retail & E-commerce Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
6.5. IT & Telecommunication
  6.5.1. IT & Telecommunication Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
6.6. Healthcare & Life Sciences
  6.6.1. Healthcare & Life Sciences Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
6.7. Automotive
  6.7.1. Automotive Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
6.8. Others
  6.8.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

CHAPTER 7. U.S. FEDERATED LEARNING MARKET: COUNTRY ESTIMATES & TREND ANALYSIS

7.1. U.S. Federated Learning Market Share, By Country, 2025 & 2033 USD Million
  7.1.1. U.S. Federated Learning Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  7.1.2. U.S. Federated Learning Market Estimates and Forecasts, by Organization Size, 2021 - 2033 (USD Million)
  7.1.3. U.S. Federated Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Million)
  7.1.4. U.S. Federated Learning Market Estimates and Forecasts, by Industry Vertical, 2021 - 2033 (USD Million)

CHAPTER 8. COMPETITIVE LANDSCAPE

8.1. Recent Developments & Impact Analysis by Key Market Participants
8.2. Company Categorization
8.3. Company Market Positioning, 2025
8.4. Company Market Share Analysis, 2025
8.5. Company Heat Map Analysis
8.6. Strategy Mapping
8.7. Company Profiles
  8.7.1. Google LLC
  8.7.1.1. Participant’s Overview
  8.7.1.2. Financial Performance
  8.7.1.3. Product Benchmarking
  8.7.1.4. Recent Developments
  8.7.2. IBM Corporation
  8.7.2.1. Participant’s Overview
  8.7.2.2. Financial Performance
  8.7.2.3. Product Benchmarking
  8.7.2.4. Recent Developments
  8.7.3. NVIDIA Corporation
  8.7.3.1. Participant’s Overview
  8.7.3.2. Financial Performance
  8.7.3.3. Product Benchmarking
  8.7.3.4. Recent Developments
  8.7.4. Intel Corporation
  8.7.4.1. Participant’s Overview
  8.7.4.2. Financial Performance
  8.7.4.3. Product Benchmarking
  8.7.4.4. Recent Developments
  8.7.5. FedML Inc.
  8.7.5.1. Participant’s Overview
  8.7.5.2. Financial Performance
  8.7.5.3. Product Benchmarking
  8.7.5.4. Recent Developments
  8.7.6. Owkin Inc.
  8.7.6.1. Participant’s Overview
  8.7.6.2. Financial Performance
  8.7.6.3. Product Benchmarking
  8.7.6.4. Recent Developments
  8.7.7. Acuratio Inc.
  8.7.7.1. Participant’s Overview
  8.7.7.2. Financial Performance
  8.7.7.3. Product Benchmarking
  8.7.7.4. Recent Developments
  8.7.8. Cloudera Inc.
  8.7.8.1. Participant’s Overview
  8.7.8.2. Financial Performance
  8.7.8.3. Product Benchmarking
  8.7.8.4. Recent Developments
  8.7.9. Edge Delta Inc.
  8.7.9.1. Participant’s Overview
  8.7.9.2. Financial Performance
  8.7.9.3. Product Benchmarking
  8.7.9.4. Recent Developments
  8.7.10. Enveil Inc.
  8.7.10.1. Participant’s Overview
  8.7.10.2. Financial Performance
  8.7.10.3. Product Benchmarking
  8.7.10.4. Recent Developments

List Of Tables

LIST OF TABLES

Table 1 U.S. Federated Learning - industry snapshot & key buying criteria, 2021 - 2033
Table 2 U.S. Federated Learning Market Estimates and Forecast, 2021 - 2033 (USD Million)
Table 3 U.S. Federated Learning market estimates and forecast, by organization size, 2021 - 2033 (USD Million)
Table 4 U.S. Federated Learning market estimates and forecast, by application, 2021 - 2033 (USD Million)
Table 5 U.S. Federated Learning market estimates and forecast, by industry vertical, 2021 - 2033 (USD Million)

List Of Figures

LIST OF FIGURES

Fig. 1 U.S. Federated Learning Market Segmentation
Fig. 2 Market research process
Fig. 3 Technology landscape
Fig. 4 Information Procurement
Fig. 5 Primary research pattern
Fig. 6 Market research approaches
Fig. 7 Parent market analysis
Fig. 8 Data Analysis Models
Fig. 9 Market Formulation and Validation
Fig. 10 Data Validating & Publishing
Fig. 11 Market Snapshot
Fig. 12 Competitive Landscape Snapshot
Fig. 13 U.S. Federated Learning Market: Industry Value Chain Analysis
Fig. 14 U.S. Federated Learning Market: Market Dynamics
Fig. 15 Market driver relevance analysis (Current & future impact)
Fig. 16 Market restraint relevance analysis (Current & future impact)
Fig. 17 U.S. Federated Learning Market: PORTER’s Analysis
Fig. 18 U.S. Federated Learning Market: PESTEL Analysis
Fig. 19 U.S. Federated Learning Market: Organization Size Outlook Key Takeaways (USD Million)
Fig. 20 U.S. Federated Learning Market: Organization Size Movement Analysis (USD Million), 2025 & 2033
Fig. 21 SMEs Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 22 Large Enterprises Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 23 U.S. Federated Learning Market: Application Outlook Key Takeaways (USD Million)
Fig. 24 U.S. Federated Learning Market: Application Movement Analysis (USD Million), 2025 & 2033
Fig. 25 Drug Discovery Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 26 Industrial internet of things Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 27 Risk Management Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 28 Augmented and Virtual Reality Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 29 Risk Management Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 30 Others Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 31 U.S. Federated Learning Market: Industry Vertical Outlook Key Takeaways (USD Million)
Fig. 32 U.S. Federated Learning Market: Industry Vertical Movement Analysis (USD Million), 2025 & 2033
Fig. 33 BFSI Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 34 Retail & E-commerce Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 35 IT & Telecommunication Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 36 Healthcare & Life Sciences Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 37 Automotive Market Estimates & Forecasts, 2021 - 2033 (USD Million)
Fig. 38 Others Market Estimates & Forecasts, 2021 - 2033 (USD Million)