The Latin America, Middle East and Africa Federated Learning In Healthcare Market would witness market growth of 18.3% CAGR during the forecast period (2025-2032).
The Brazil market dominated the LAMEA Federated Learning In Healthcare Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $1,535.4 Thousands by 2032. The Argentina market is showcasing a CAGR of 19% during (2025 - 2032). Additionally, The UAE market would register a CAGR of 17.1% during (2025 - 2032).
Pharmaceutical companies also embrace federated learning to streamline drug development and clinical trials. Collaborating with hospitals and research organizations allows these companies to access diverse datasets to refine drug discovery processes without navigating complex data-sharing agreements. Technology providers, including cloud computing companies and AI platform developers, are also driving adoption by offering federated learning tools tailored for healthcare.
Government and regulatory bodies support adoption by promoting frameworks aligning federated learning with data protection regulations. Initiatives like the European Health Data Space (EHDS) encourage using privacy-preserving technologies like FL to facilitate cross-border health research. As regulatory support grows, more healthcare organizations will likely adopt federated learning to comply with privacy laws while advancing medical innovation.
FL in healthcare is an emerging technology that enables decentralized data processing, allowing healthcare organizations to collaborate on machine learning models without sharing sensitive patient data. In Saudi Arabia, the steady increase in healthcare expenditure to 5.97% of GDP in 2021, coupled with a high prevalence of diabetes (17.7% of the adult population), highlights a growing demand for advanced healthcare solutions. Likewise, in South Africa, the healthcare expenditure reached approximately 8.27% of GDP in 2021, reflecting its commitment to improving its healthcare system. Similarly, in Brazil, with healthcare expenditure accounting for 9.89% of GDP in 2021 and an increasing focus on improving healthcare services, Federated Learning is poised to impact the country’s healthcare landscape significantly. Also, in the Middle East, where cardiovascular disease (CVD) prevalence is high (10.1%) and risk factors like dyslipidemia (43.3%) are rampant, the need for multifaceted interventions is urgent. In conclusion, rising healthcare spending and the growing prevalence of chronic diseases like diabetes, hypertension, and cardiovascular conditions in Saudi Arabia, South Africa, Brazil, and the Middle East are fuelling the growth of the market.
Free Valuable Insights: The Worldwide Federated Learning In Healthcare Market is Projected to reach USD 87.77 Million by 2032, at a CAGR of 15.5%
Based on Deployment Mode, the market is segmented into On-Premise and Cloud-Based. Based on End Use, the market is segmented into Hospitals & Healthcare Providers, Pharmaceutical & Biotechnology Companies, Research Institutions, and Government & Regulatory Bodies. Based on Application, the market is segmented into Drug Discovery & Development, Medical Imaging, Electronic Health Records (EHR) Analysis, Remote Patient Monitoring, and Clinical Trials & Other Application. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
By Deployment Mode
By End Use
By Application
By Country
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