Federated Learning Market Size and Share Analysis Report: Forecast Trends and Outlook (2026-2035)

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.

Market Segmentation

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.

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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 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

Other federated learning market players include Sherpa.ai., Apheris AI GmbH, IBM Corporation, Cloudera, Inc., NVIDIA Corporation, Acuratio Inc., and Consilient Inc., among others.