Federated Learning Market Share, Size, Trends, Industry Analysis Report, By Application (Industrial Internet of Things, Drug Discovery, Risk Management, Augmented and Virtual Reality, Data Privacy Management, Others); By Industry Vertical; By Region; Segment Forecast, 2022 - 2030
The global federated learning market size is expected to reach USD 266.77 million by 2030, according to a new study by Polaris Market Research. The report “Federated Learning Market Share, Size, Trends, Industry Analysis Report, By Application (Industrial Internet of Things, Drug Discovery, Risk Management, Augmented and Virtual Reality, Data Privacy Management, Others); By Industry Vertical; By Region; Segment Forecast, 2022 – 2030” gives a detailed insight into current market dynamics and provides analysis on future market growth.
ML enables development of applications that learn and adapt from data with greater accuracy over time without explicit instructions. It includes algorithms that are capable to create systems by understanding input and output information that describes them. ML can be provided by several types of algorithms such as decision trees, neural networks, and inductive logic programming.
Moreover, federated learning is the new era of secure artificial intelligence (AI), as this technique trains, tests, and provide data security. In addition, the data is difficult to be hacked due to the introduction of such method. Federated learning method has a huge potential, as it helps in securing sensitive and personal information of people and businesses. It also, aggregates outcome and recognizes familiar samples from various users, therefore, making the module robust.
Advent of cloud computing, deep federated learning, and parallel computing architectures; and rise in demand for AI capabilities such as image, speech, text, and recognition have fast-tracked the ongoing research associated with AI, fueling a new trend of rise in investment in developing premium AI hardware, which is capable of advancing application development. In addition, increase in interest of aerospace players to deploy AI across several applications is expected to boost demand for federated learning during the forecast period.
Moreover, the adoption of predictive and prescriptive analytics has been increasing. Predictive analytics is used to know the likelihood of certain events happening in the future, and prescriptive analytics provides solutions and actions to be taken in case of occurrence of such events. End-user industries have been recognizing the benefits of these analytical solutions and utilizing them to gain an edge over competitors. Widespread applications of predictive and prescriptive analytics would provide growth opportunities in the industry.
Federated Learning Market Report Highlights
- The market for industrial internet of things segment is expected to hold a significant share in 2030 as its adoption offers greater performance and efficiency across industries
- The automotive segment is expected to be the fastest growing segment during the forecast period. This is due rise in adoption for artificial intelligence (AI) enabled federated learning technique
- Europe region will lead the global market by 2030 due to rising initiatives undertaken by the governments towards healthcare industry
- The global market is highly competitive owing to the existence of large market players with global presence including Google Inc., IBM Corporation, Intel Corporation, Lifebit, NVIDIA Corporation, Secure AI Labs, and Sherpa.AI.
Federated Learning, Application Outlook (Revenue – USD Million, 2018 – 2030)
- Industrial Internet of Things
- Drug Discovery
- Risk Management
- Augmented and Virtual Reality
- Data Privacy Management
- Others
- Retail
- Automotive
- IT & Telecommunication
- Healthcare
- BFSI
- Manufacturing
- Others
- North America
- U.S
- Canada
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Russia
- Netherlands
- Asia Pacific
- China
- India
- Japan
- South Korea
- Indonesia
- Malaysia
- Latin America
- Argentina
- Brazil
- Mexico
- Middle East & Africa
- UAE
- Saudi Arabia
- Israel
- South Africa
- 1. Introduction
- 1.1. Report Description
- 1.1.1. Objectives of the Study
- 1.1.2. Market Scope
- 1.1.3. Assumptions
- 1.2. Stakeholders
- 2. Executive Summary
- 2.1. Market Highlights
- 3. Research Methodology
- 3.1. Overview
- 3.1.1. Data Mining
- 3.2. Data Sources
- 3.2.1. Primary Sources
- 3.2.2. Secondary Sources
- 4. Global Federated Learning Market Insights
- 4.1. Federated Learning Market – Industry Snapshot
- 4.2. Federated Learning Market Dynamics
- 4.2.1. Drivers and Opportunities
- 4.2.1.1. Ability to ensure better data privacy and security by training algorithms on decentralized devices
- 4.2.1.2. Growing adoption of federated learning in various applications for data privacy
- 4.2.2. Restraints and Challenges
- 4.2.2.1. Lack of skilled technical expertise
- 4.3. Porter’s Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers (Moderate)
- 4.3.2. Threats of New Entrants: (Low)
- 4.3.3. Bargaining Power of Buyers (Moderate)
- 4.3.4. Threat of Substitute (Moderate)
- 4.3.5. Rivalry among existing firms (High)
- 4.4. PESTLE Analysis
- 4.5. Federated Learning Industry trends
- 4.6. Value Chain Analysis
- 4.7. COVID-19 Impact Analysis
- 5. Global Federated Learning Market, by Application
- 5.1. Key Findings
- 5.2. Introduction
- 5.2.1. Global Federated Learning, by Application, 2018 - 2030 (USD Million)
- 5.3. Industrial Internet of Things
- 5.3.1. Global Federated Learning Market, by Industrial Internet of Things, by Region, 2018 - 2030 (USD Million)
- 5.4. Drug Discovery
- 5.4.1. Global Federated Learning Market, by Drug Discovery, by Region, 2018 - 2030 (USD Million)
- 5.5. Risk Management
- 5.5.1. Global Federated Learning Market, by Risk Management, by Region, 2018 - 2030 (USD Million)
- 5.6. Augmented and Virtual Reality
- 5.6.1. Global Federated Learning Market, by Augmented and Virtual Reality, by Region, 2018 - 2030 (USD Million)
- 5.7. Data Privacy Management
- 5.7.1. Global Federated Learning Market, by Data Privacy Management, by Region, 2018 - 2030 (USD Million)
- 5.8. Others
- 5.8.1. Global Federated Learning Market, by Others, by Region, 2018 - 2030 (USD Million)
- 6. Global Federated Learning Market, by Industry Vertical
- 6.1. Key Findings
- 6.2. Introduction
- 6.2.1. Global Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 6.3. Retail
- 6.3.1. Global Federated Learning Market, by Retail, by Region, 2018 - 2030 (USD Million)
- 6.4. Automotive
- 6.4.1. Global Federated Learning Market, by Automotive, by Region, 2018 - 2030 (USD Million)
- 6.5. IT & Telecommunication
- 6.5.1. Global Federated Learning Market, by IT & Telecommunication, by Region, 2018 - 2030 (USD Million)
- 6.6. Healthcare
- 6.6.1. Global Federated Learning Market, by Healthcare, by Region, 2018 - 2030 (USD Million)
- 6.7. BFSI
- 6.7.1. Global Federated Learning Market, by BFSI, by Region, 2018 - 2030 (USD Million)
- 6.8. Manufacturing
- 6.8.1. Global Federated Learning Market, by Manufacturing, by Region, 2018 - 2030 (USD Million)
- 6.9. Ambulatory Surgery Centers
- 6.9.1. Global Federated Learning Market, by Ambulatory Surgery Centers, by Region, 2018 - 2030 (USD Million)
- 7. Global Federated Learning Market, by Geography
- 7.1. Key findings
- 7.2. Introduction
- 7.2.1. Federated Learning Market Assessment, By Geography, 2018 - 2030 (USD Million)
- 7.3. Federated Learning Market – North America
- 7.3.1. North America: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.3.2. North America: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.3.3. Federated Learning Market – U.S.
- 7.3.3.1. U.S.: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.3.3.2. U.S.: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.3.4. Federated Learning Market – Canada
- 7.3.4.1. Canada: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.3.4.2. Canada: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4. Federated Learning Market – Europe
- 7.4.1. Europe: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.2. Europe: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.3. Federated Learning Market – UK
- 7.4.3.1. UK: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.3.2. UK: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.4. Federated Learning Market – France
- 7.4.4.1. France: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.4.2. France: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.5. Federated Learning Market – Germany
- 7.4.5.1. Germany: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.5.2. Germany: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.6. Federated Learning Market – Italy
- 7.4.6.1. Italy: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.6.2. Italy: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.7. Federated Learning Market – Spain
- 7.4.7.1. Spain: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.7.2. Spain: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.8. Federated Learning Market – Netherlands
- 7.4.8.1. Netherlands: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.8.2. Netherlands: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.4.9. Federated Learning Market – Russia
- 7.4.9.1. Russia: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.4.9.2. Russia: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5. Federated Learning Market – Asia Pacific
- 7.5.1. Asia Pacific: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.2. Asia Pacific: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5.3. Federated Learning Market – China
- 7.5.3.1. China: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.3.2. China: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5.4. Federated Learning Market – India
- 7.5.4.1. India: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.4.2. India: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5.5. Federated Learning Market – Malaysia
- 7.5.5.1. Malaysia: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.5.2. Malaysia: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5.6. Federated Learning Market – Japan
- 7.5.6.1. Japan: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.6.2. Japan: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5.7. Federated Learning Market – Indonesia
- 7.5.7.1. Indonesia: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.7.2. Indonesia: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.5.8. Federated Learning Market – South Korea
- 7.5.8.1. South Korea: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.5.8.2. South Korea: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.6. Federated Learning Market – Middle East & Africa
- 7.6.1. Middle East & Africa: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.6.2. Middle East & Africa: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.6.3. Federated Learning Market – Saudi Arabia
- 7.6.3.1. Saudi Arabia: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.6.3.2. Saudi Arabia: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.6.4. Federated Learning Market – UAE
- 7.6.4.1. UAE: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.6.4.2. UAE: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.6.5. Federated Learning Market – Israel
- 7.6.5.1. Israel: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.6.5.2. Israel: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.6.6. Federated Learning Market – South Africa
- 7.6.6.1. South Africa: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.6.6.2. South Africa: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.7. Federated Learning Market – Latin America
- 7.7.1. Latin America: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.7.2. Latin America: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.7.3. Federated Learning Market – Mexico
- 7.7.3.1. Mexico: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.7.3.2. Mexico: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.7.4. Federated Learning Market – Brazil
- 7.7.4.1. Brazil: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.7.4.2. Brazil: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 7.7.5. Federated Learning Market – Argentina
- 7.7.5.1. Argentina: Federated Learning Market, by Industry Vertical, 2018 - 2030 (USD Million)
- 7.7.5.2. Argentina: Federated Learning Market, by Application, 2018 - 2030 (USD Million)
- 8. Competitive Landscape
- 8.1. Expansion and Acquisition Analysis
- 8.1.1. Expansion
- 8.1.2. Acquisitions
- 8.2. Partnerships/Collaborations/Agreements/Exhibitions
- 9. Company Profiles
- 9.1. Apheris AI GmbH
- 9.1.1. Company Overview
- 9.1.2. Financial Performance
- 9.1.3. Product Benchmarking
- 9.1.4. Recent Development
- 9.2. Acuratio
- 9.2.1. Company Overview
- 9.2.2. Financial Performance
- 9.2.3. Product Benchmarking
- 9.2.4. Recent Development
- 9.3. Consilient
- 9.3.1. Company Overview
- 9.3.2. Financial Performance
- 9.3.3. Product Benchmarking
- 9.3.4. Recent Development
- 9.4. Cloudera Inc
- 9.4.1. Company Overview
- 9.4.2. Financial Performance
- 9.4.3. Product Benchmarking
- 9.4.4. Recent Development
- 9.5. DataFleets
- 9.5.1. Company Overview
- 9.5.2. Financial Performance
- 9.5.3. Product Benchmarking
- 9.5.4. Recent Development
- 9.6. Decentralized Machine Learning
- 9.6.1. Company Overview
- 9.6.2. Financial Performance
- 9.6.3. Product Benchmarking
- 9.6.4. Recent Development
- 9.7. Edge Delta
- 9.7.1. Company Overview
- 9.7.2. Financial Performance
- 9.7.3. Product Benchmarking
- 9.7.4. Recent Development
- 9.8. Enveil
- 9.8.1. Company Overview
- 9.8.2. Financial Performance
- 9.8.3. Product Benchmarking
- 9.8.4. Recent Development
- 9.9. FedML
- 9.9.1. Company Overview
- 9.9.2. Financial Performance
- 9.9.3. Product Benchmarking
- 9.9.4. Recent Development
- 9.10. Google Inc
- 9.10.1. Company Overview
- 9.10.2. Financial Performance
- 9.10.3. Product Benchmarking
- 9.10.4. Recent Development
- 9.11. IBM Corporation
- 9.11.1. Company Overview
- 9.11.2. Financial Performance
- 9.11.3. Product Benchmarking
- 9.11.4. Recent Development
- 9.12. Intel Corporation
- 9.12.1. Company Overview
- 9.12.2. Financial Performance
- 9.12.3. Product Benchmarking
- 9.12.4. Recent Development
- 9.13. Lifebit
- 9.13.1. Company Overview
- 9.13.2. Financial Performance
- 9.13.3. Product Benchmarking
- 9.13.4. Recent Development
- 9.14. NVIDIA Corporation
- 9.14.1. Company Overview
- 9.14.2. Financial Performance
- 9.14.3. Product Benchmarking
- 9.14.4. Recent Development
- 9.15. Secure AI Labs
- 9.15.1. Company Overview
- 9.15.2. Financial Performance
- 9.15.3. Product Benchmarking
- 9.15.4. Recent Development
- 9.16. Sherpa.AI
- 9.16.1. Company Overview
- 9.16.2. Financial Performance
- 9.16.3. Product Benchmarking
- 9.16.4. Recent Development
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