Federated Learning Market Size, Share & Trends Analysis Report By Organization Size (SME, Large), By Application (Drug Discovery, Risk Management), By Industry Vertical (Automotive, BFSI), By Region, And Segment Forecasts, 2023 - 2030

PUBLISHED: December 6, 2023

PAGES: 100 Pages

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The global federated learning market size is expected to reach USD 297.5 million by 2030, growing at a CAGR of 12.7% from 2023 to 2030, according to a new report by Grand View Research, Inc. The growth is primarily fueled by its unique capability to train machine learning (ML) models across decentralized devices while preserving data privacy. This approach allows multiple entities to collaborate on model training without sharing raw data, ensuring sensitive information remains on local devices. This privacy-centric paradigm aligns well with stringent data protection regulations and addresses growing concerns about data security. Concerns over data privacy and compliance with regulations drive the adoption of federated learning, as it allows for collaborative model training without sharing raw data, ensuring user privacy.

This unique approach attracts industries seeking a competitive edge. For instance, Google LLC has been a prominent advocate and practitioner of federated learning. One of its applications, Gboard, the virtual keyboard app, uses federated learning to improve predictive text suggestions without compromising user data. The market thrives due to fast-progressing ML methods and wider data availability. The proliferation of IoT devices and the rise of edge computing have propelled federated learning's adoption in the healthcare, finance, and IoT sectors. This approach allows collaborative model training across decentralized devices, ensuring data privacy while advancing AI capabilities. In healthcare, federated learning enables joint model development, improving diagnostics & treatments without compromising patient data privacy.

In finance, it facilitates secure analysis of transactional data across institutions, enhancing fraud detection. Its application in IoT utilizes distributed device data, empowering edge-based ML for improved device functionalities. North America, especially the U.S., is a center for technological innovation, led by Silicon Valley and various influential tech giants that propel progress. The region pioneers AI & ML advancements, cultivating an atmosphere that encourages the integration of advanced technologies, such as federated learning. There is a rising awareness among consumers in North America about data privacy & security. Federated learning, being a privacy-preserving technology, resonates with consumers' concerns, creating a demand for such privacy-centric solutions in various applications. These factors collectively contribute to the growing adoption & prominence of federated learning in North America, fostering an environment conducive to its continued expansion across industries.

Federated Learning Market Report Highlights:

The Industrial Internet of Things (IIoT) segment held a significant revenue share in 2022. The dominance of IIoT segment within the market uses decentralized data sources, which match well with the privacy-focused approach of federated learning
The IT & telecommunications dominated the industry and held a market share of 27.3% in 2022 due to their extensive reservoirs of diverse data sources, essential for refining AI models while safeguarding sensitive information across distributed networks
The global market growth is largely fueled by the unique capacity of federated learning to preserve data privacy while also enabling efficient edge computing, meeting the rising demand for secure & decentralized AI model training
The ability to foster ongoing advancements in AI models across devices, without relying on centralized data repositories, serves as a driving force for continual progress in federated learning methodologies

Product Code: GVR-4-68040-162-2

Chapter 1. Methodology and Scope

1.1. Market Segmentation and Scope
1.2. Research Methodology
- 1.2.1. Information Procurement
1.3. Information or Data Analysis
1.4. Methodology
1.5. Research Scope and Assumptions
1.6. Market Formulation & Validation
1.7. Country Based Segment Share Calculation
1.8. List of Data Sources

Chapter 2. Executive Summary

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

Chapter 3. Federated Learning Market Variables, Trends, & Scope

3.1. Market Lineage Outlook
3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.2. Market Restraint Analysis
- 3.2.3. Industry Challenge
3.3. Federated Learning Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
  - 3.3.1.1. Bargaining power of the suppliers
  - 3.3.1.2. Bargaining power of the buyers
  - 3.3.1.3. Threats of substitution
  - 3.3.1.4. Threats from new entrants
  - 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
  - 3.3.2.1. Political landscape
  - 3.3.2.2. Economic and Social landscape
  - 3.3.2.3. Technological landscape
3.4. Pain Point Analysis

Chapter 4. Federated Learning Market: Application Estimates & Trend Analysis

4.1. Segment Dashboard
4.2. Federated Learning Market: Application Movement Analysis, 2022 & 2030 (USD Million)
4.3. Industrial Internet of Things
- 4.3.1. Industrial Internet of Things Federated Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.4. Drug Discovery
- 4.4.1. Drug Discovery Federated Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.5. Risk Management
- 4.5.1. Risk Management Federated Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.6. Augmented and Virtual Reality
- 4.6.1. Augmented and Virtual Reality Federated Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.7. Data Privacy Management
- 4.7.1. Data Privacy Management Federated Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.8. Others
- 4.8.1. Others Federated Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Federated Learning Market: Organization Size Estimates & Trend Analysis

5.1. Segment Dashboard
5.2. Federated Learning Market: Organization Size Movement Analysis, 2022 & 2030 (USD Million)
5.3. Large Enterprises
- 5.3.1. Large Enterprises Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.4. SMEs
- 5.4.1. SMEs Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Federated Learning Market: Industry Vertical Estimates & Trend Analysis

6.1. Segment Dashboard
6.2. Federated Learning Market: Industry Vertical Movement Analysis, 2022 & 2030 (USD Million)
6.3. IT & Telecommunications
- 6.3.1. IT & Telecommunications Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.4. Healthcare & Life Sciences
- 6.4.1. Healthcare & Life Sciences Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.5. BFSI
- 6.5.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.6. Retail & E-commerce
- 6.6.1. Retail & E-commerce Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.7. Automotive
- 6.7.1. Automotive Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.8. Others
- 6.8.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Federated Learning Market: Regional Estimates & Trend Analysis

7.1. Federated Learning Market Share, By Region, 2022 & 2030 (USD Million)
7.2. North America
- 7.2.1. North America Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.2.2. U.S.
  - 7.2.2.1. U.S. Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.2.3. Canada
  - 7.2.3.1. Canada Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
7.3. Europe
- 7.3.1. Europe Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.3.2. UK
  - 7.3.2.1. UK Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.3.3. Germany
  - 7.3.3.1. Germany Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.3.4. France
  - 7.3.4.1. France Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
7.4. Asia Pacific
- 7.4.1. Asia Pacific Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4.2. China
  - 7.4.2.1. China Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4.3. Japan
  - 7.4.3.1. Japan Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4.4. India
  - 7.4.4.1. India Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4.5. South Korea
  - 7.4.5.1. South Korea Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4.6. Australia
  - 7.4.6.1. Australia Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
7.5. Latin America
- 7.5.1. Latin America Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.5.2. Brazil
  - 7.5.2.1. Brazil Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.5.3. Mexico
  - 7.5.3.1. Mexico Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
7.6. Middle East and Africa
- 7.6.1. Middle East and Africa Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.6.2. KSA
  - 7.6.2.1. KSA Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.6.3. UAE
  - 7.6.3.1. UAE Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.6.4. South Africa
  - 7.6.4.1. South Africa Federated Learning Market Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Competitive Landscape

8.1. Company Categorization
8.2. Company Market Positioning
8.3. Participant's Overview
8.4. Financial Performance
8.5. Product Benchmarking
8.6. Company Heat Map Analysis
8.7. Strategy Mapping
8.8. Company Profiles/Listing
- 8.8.1. Acuratio Inc.
- 8.8.2. Cloudera Inc.
- 8.8.3. Edge Delta
- 8.8.4. Enveil
- 8.8.5. FedML
- 8.8.6. Google LLC
- 8.8.7. IBM Corporation
- 8.8.8. Intel Corporation
- 8.8.9. Lifebit
- 8.8.10. NVIDIA Corporation

Product Code: GVR-4-68040-162-2

List of Tables

Table 1 Global Federated Learning market by Application, 2017 - 2030 (USD Million)
Table 2 Global Federated Learning market by Organization Size, 2017 - 2030 (USD Million)
Table 3 Global Federated Learning market by Industry Vertical, 2017 - 2030 (USD Million)
Table 4 Global Federated Learning market by region, 2017 - 2030 (USD Million)
Table 5 North America Federated Learning market by country, 2017 - 2030 (USD Million)
Table 6 Europe Federated Learning market by country, 2017 - 2030 (USD Million)
Table 7 Asia Pacific Federated Learning market by country, 2017 - 2030 (USD Million)
Table 8 Latin America Federated Learning market by country, 2017 - 2030 (USD Million)
Table 9 MEA Federated Learning market by country, 2017 - 2030 (USD Million)
Table 10 Key companies launching new products/services
Table 11 Key companies engaged in mergers & acquisition.
Table 12 Key companies engaged in Research & development
Table 13 Key Companies engaged in expansion

List of Figures

Fig. 1 Information procurement
Fig. 2 Primary research pattern
Fig. 3 Market research approaches
Fig. 4 Value chain-based sizing & forecasting
Fig. 5 QFD modelling for market share assessment.
Fig. 6 Parent market analysis
Fig. 7 Patient-population model
Fig. 8 Market formulation & validation
Fig. 9 Federated Learning market snapshot
Fig. 10 Federated Learning market segment snapshot
Fig. 11 Federated Learning market competitive landscape snapshot
Fig. 12 Market research process
Fig. 13 Market driver relevance analysis (Current & future impact)
Fig. 14 Market restraint relevance analysis (Current & future impact)
Fig. 15 Federated Learning Market: Application outlook key takeaways (USD Million)
Fig. 16 Federated Learning Market: Application movement analysis 2022 & 2030 (USD Million)
Fig. 17 Industrial Internet of Things Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 18 Drug Discovery Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 19 Risk Management Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 20 Augmented and Virtual Reality Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 21 Data Privacy Management Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 22 Others Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 23 Federated Learning Market: Organization Size outlook key takeaways (USD Million)
Fig. 24 Federated Learning Market: Organization Size movement analysis 2022 & 2030 (USD Million)
Fig. 25 Large Enterprises Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 26 SMEs Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 27 Federated Learning Market: Industry Vertical outlook key takeaways (USD Million)
Fig. 28 Federated Learning Market: Industry Vertical movement analysis 2022 & 2030 (USD Million)
Fig. 29 IT & Telecommunications Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 30 Healthcare & Life Sciences Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 31 BFSI Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 32 Retail & E-commerce Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 33 Automotive Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 34 Others Federated Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 35 Regional marketplace: Key takeaways
Fig. 36 Federated Learning Market: Regional outlook, 2022 & 2030 (USD Million)
Fig. 37 North America Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 38 U.S. Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 39 Canada Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 40 Europe Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 41 UK Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 42 Germany Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 43 France Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 44 Asia Pacific Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 45 Japan Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 46 China Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 47 India Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 48 South Korea Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 49 Australia Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 50 Latin America Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 51 Brazil Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 52 Mexico Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 53 MEA Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 54 KSA Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 55 UAE Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 56 South Africa Federated Learning market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 57 Strategy framework
Fig. 58 Company Categorization