Global Federated Learning Market Size To Exceed USD 378.6 Million By 2033 | CAGR of 11.44%
Category: Information & TechnologyGlobal Federated Learning Market Size To Exceed USD 378.6 Million By 2033
According to a research report published by Spherical Insights & Consulting, the Global Federated Learning Market is Expected to Grow from USD 128.2 Million in 2023 to USD 378.6 Million by 2033, at a CAGR of 11.44% during the forecast period 2023-2033.
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Browse key industry insights spread across 210 pages with 150 Market data tables and figures & charts from the report on the " Global Federated Learning Market Size, Share, and COVID-19 Impact Analysis, By Application (Industrial Internet of Things, Drug Discovery, Risk Management, Augmented & Virtual Reality, Data Privacy Management, and Others), By Organization Size (Large Enterprises and SMEs), By Industry Vertical (IT & Telecommunications, Healthcare & Life Sciences, BFSI, Retail & E-commerce, Automotive, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033. " Get Detailed Report Description Here: https://www.sphericalinsights.com/reports/federated-learning-market
The federated learning market refers to a machine learning method where many servers or devices collaborate to create a shared model without disclosing the raw data. Instead of transferring data to a central server, each device processes it locally. A central aggregator then receives the model adjustments (such as weights or gradients) and combines them to improve the global model. The market growth is driven by its growing popularity as a scalable and secure method for companies to work together on data. Its ability to safeguard privacy while enabling insights from scattered data makes it highly relevant in the current regulatory and data-centric climate. The increasing need for hybrid cloud interoperability and flexibility is driving demand even more. Collaborations like Rhino and Flower Labs demonstrate the shift toward production-ready platforms. Adoption is being driven by performance needs and data sensitivity in the financial, healthcare, and manufacturing industries. However, the market growth is hindered by the high computing demands and infrastructure challenges that limit federated learning adoption, especially among smaller enterprises.
The industrial internet of things segment accounted for the largest share in 2023 and is estimated to grow at a remarkable CAGR during the estimated period.
On the basis of application, the federated learning market is classified into Industrial Internet of Things, drug discovery, risk management, augmented & virtual reality, data privacy management, and others. Among these, the industrial internet of things segment accounted for the largest share in 2023 and is estimated to grow at a remarkable CAGR during the estimated period. The segmental growth can be attributed to the safe on-device federated learning enables AI training and fits in well with the decentralized nature of IIoT. It reduces latency and enhances privacy, two crucial aspects in industries like manufacturing and transportation. This improves operational efficiency through the use of real-time analytics. As a result, federated learning is rapidly accelerating IIoT innovation and industrial expansion.
The large enterprises segment accounted for the largest share in 2023 and is estimated to grow at a remarkable CAGR during the projected timeframe.
On the basis of organization size, the federated learning market is divided into large enterprises and SMEs. Among these, the large enterprises segment accounted for the largest share in 2023 and is estimated to grow at a remarkable CAGR during the projected timeframe. The segmental growth can be attributed to the federated learning benefits large enterprises by enabling safe, decentralized AI training among scattered components. It improves model development and data efficiency while ensuring compliance with privacy rules. By reducing breach risks, it enhances the enterprise risk strategy. This supports its growing application in important industries.
The IT and telecommunication segment accounted for the majority of the share in 2023 and is estimated to grow at a remarkable CAGR during the forecast timeframe.
On the basis of industry vertical, the federated learning market is segmented into IT & telecommunications, healthcare & life sciences, BFSI, retail & e-commerce, automotive, and others. Among these, the IT and telecommunication segment accounted for the majority of the share in 2023 and is estimated to grow at a remarkable CAGR during the forecast timeframe. The segmental growth can be attributed to the sector's decentralized approach aligns with its privacy and security concerns. Enabling on-device processing reduces latency and increases network speed. Thus, federated learning is a crucial instrument for real-time innovation and data-driven efficiency.
North America is anticipated to hold the largest share of the global federated learning market over the projected timeframe.
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North America is anticipated to hold the largest share of the global federated learning market over the projected timeframe. The region's growth is attributed to the first adopters of advanced AI technologies, including significant North American companies in the banking, healthcare, and technology sectors. Federated learning's ability to address data privacy concerns while enabling collaborative model training is well-received by these sectors, encouraging widespread adoption and regional market leadership. The region fosters strong networks of collaboration among companies, research centers, and academic organizations. This collaboration encourages the sharing of information, resources, and data, all ideal for cooperative model training in federated learning without compromising data privacy.
Europe is estimated to grow at the fastest CAGR of the global federated learning market during the estimated period. In these regions, the privacy features of federated learning are enhanced by stringent data protection regulations, such as the GDPR. Industries like healthcare, manufacturing, and finance are using federated learning to enable secure data analysis without centralizing personal information. The European market's focus on ethical AI and data sovereignty is fueling the demand for privacy-preserving solutions. As businesses seek operational efficiency and compliance, federated learning is becoming more and more integrated into AI initiatives.
Major vendors in the global federated learning market are Acuratio, Inc., Owkin, Inc., Cloudera, Inc., NVIDIA Corporation, Edge Delta, Lifebit, Enveil, Intel Corporation, FedML, IBM Corporation, Google LLC, Intellegens, Sherpa.AI, Secure AI Labs, and others.
Key Target Audience
- Market Players
- Investors
- End-users
- Government Authorities
- Consulting and Research Firm
- Venture capitalists
- Value-Added Resellers (VARs)
Key Market Development
- In December 2024, Google Cloud and Swift, a Belgium-based banking cooperative, are collaborating to create a safe, privacy-preserving AI model training solution for financial institutions that employs federated learning. The effort, which includes 12 worldwide institutions, aims to improve fraud detection with shared fraud labels while keeping sensitive data protected throughout the process.
Market Segment
This study forecasts revenue at the global, regional, and country levels from 2023 to 2033. Spherical Insights has segmented the global federated learning market based on the below-mentioned segments:
Global Federated Learning Market, By Application
- Industrial Internet of Things
- Drug Discovery
- Risk Management
- Augmented & Virtual Reality
- Data Privacy Management
- Others
Global Federated Learning Market, By Organization Size
- Large Enterprises
- SMEs
Global Federated Learning Market, By Industry Vertical
- IT & Telecommunications
- Healthcare & Life Sciences
- BFSI
- Retail & E-commerce
- Automotive
- Others
Global Federated Learning Market, By Region
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia Pacific
- South America
- Brazil
- Argentina
- Rest of South America
- Middle East & Africa
- UAE
- Saudi Arabia
- Qatar
- South Africa
- Rest of the Middle East & Africa
About the Spherical Insights & Consulting
Spherical Insights & Consulting is a market research and consulting firm which provides actionable market research study, quantitative forecasting and trends analysis provides forward-looking insight especially designed for decision makers and aids ROI.
Which is catering to different industry such as financial sectors, industrial sectors, government organizations, universities, non-profits and corporations. The company's mission is to work with businesses to achieve business objectives and maintain strategic improvements.
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