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The global federated learning market size reached nearly USD 131.40 million in 2023. The market is projected to grow at a CAGR of 10.7% between 2024 and 2032 to reach a value of around USD 328.04 million by 2032.
Federated learning, also known as collaborative learning, refers to learning models that are used to train machine learning or artificial intelligence (AI) models on decentralised platforms. It uses various datasets and eliminates the requirement for centralising and sharing data, hence reducing the risk of data breaches.
Based on deployment type, the market is segmented into cloud based and on-premises. On the basis of application, the market is classified into industrial internet of things, visual object detection, drug discovery, risk management, augmented and virtual reality, and data privacy management, among others.
The federated learning market segmentations, based on end use, include retail and e-commerce, automotive, IT and telecommunication, healthcare, BFSI, and manufacturing, among others. The major regional markets for federated learning include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the key players in the global federated learning market, covering their competitive landscape and latest developments like mergers, acquisitions, investments and expansion plans.
The automotive sector accounts for a significant portion of the federated learning market share. Federated learning is witnessing a heightened deployment in self-driving cars to enhance the precision of autonomous driving calculations.
In addition, growing efforts by leading automotive manufacturers towards augmenting real-time response and reducing the latency of autonomous vehicles are further fuelling the segment’s growth. The anticipated increase in the demand for autonomous vehicles, coupled with rising disposable incomes, is expected to garner the segment’s growth in the coming years.
According to the federated learning market analysis, Europe holds a significant share of the market. Leading healthcare players across Europe are adopting federated learning solutions to boost the drug discovery processes. Moreover, the usage of machine learning in the pharmaceutical sector in well-established economies of Europe to enhance medical innovations is further boosting the demand for federated learning.
Over the forecast period, the anticipated surge in the incorporation of artificial intelligence in hospitals, owing to the growing shortage of healthcare professionals, is further aiding the federated learning market growth.
Google LLC is one of the largest multinational technology companies around the world which offers artificial intelligence (AI) and online advertising services, and computer software systems, among others. It was founded in 1998 and is headquartered in California, the United States.
Intel Corporation is a multinational corporation which offers data centre solutions, IoT, smart and connected digital services, and federated learning, among others. The company was founded in 1968 and is headquartered in California, the United States.
Barron Associates Inc. is a company which offers technological solutions to various sectors, including healthcare, defence, and aerospace, among others. The company was established in 1983 and is headquartered in Virginia, the United States.
Other federated learning market players include Sherpa.ai., Apheris AI GmbH, IBM Corporation, Cloudera, Inc., NVIDIA Corporation, Acuratio Inc., and Consilient Inc., among others.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Deployment Type |
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Breakup by Application |
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Breakup by End Use |
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Breakup by Region |
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
Get in touch with us today for customized, data-driven solutions tailored to your unique requirements!
The market reached a value of nearly USD 131.40 million in 2023.
The market is estimated to grow at a CAGR of 10.7% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach a value of around USD 328.04 million by 2032.
The growing use of AI and IoT in the manufacturing sector, the increasing incorporation of federated learning in the metaverse, and the increasing application of virtual and augmented reality across various sectors are the major drivers of the market.
The key trends in the market include the growing use of federated learning in the healthcare sector to boost drug discovery processes and heightening demand for self-driving cars.
Cloud based and on-premises are the different deployment types of federated learning.
Industrial internet of things, visual object detection, drug discovery, risk management, augmented and virtual reality, and data privacy management, among others, are the major applications of federated learning.
Google LLC, Intel Corporation, Barron Associates Inc., Sherpa.ai., Apheris AI GmbH, IBM Corporation, Cloudera, Inc., NVIDIA Corporation, Acuratio Inc., and Consilient Inc., among others, are the key market players.
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