Global Federated Learning Market Report and Forecast 2025-2034

Global Federated Learning Market Outlook

The global federated learning market size reached nearly USD 131.40 million in 2024. The market is projected to grow at a CAGR of 10.7% between 2025 and 2034 to reach a value of around USD 328.04 million by 2034.

Key Trends in the Market

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.

• The growing use of artificial intelligence (AI), machine learning (ML), and the Internet of things (IoT), among other advanced technologies, in the manufacturing sector is a crucial federated learning market trend.

• Increasing deployment of federated learning in the metaverse for reducing the requirement for high computing power is adding to the market growth. In addition, growing concerns pertaining to user privacy and data security are likely to heighten the application of federated learning in the metaverse in the forecast period.

• The increasing application of virtual and augmented reality across various sectors, including education, gaming, event management, and healthcare, among others, is anticipated to propel the federated learning market growth in the coming years.

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Purchase the Regional Overview for USD 1099

If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.

Purchase the Regional Overview for USD 1099

If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.

Purchase the Regional Overview for USD 1099

If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.

Market Analysis

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.

• Google LLC

• Intel Corporation

• Barron Associates Inc.

• Sherpa.ai.

• Apheris AI GmbH

• IBM Corporation

• Cloudera, Inc.

• NVIDIA Corporation

• Acuratio Inc.

• Consilient Inc.

• Others

Market Share by End Use

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.

Market Share by Region

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.

Competitive Landscape

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.

Key Highlights of the Report