PUBLISHER: KBV Research | PRODUCT CODE: 1719578
PUBLISHER: KBV Research | PRODUCT CODE: 1719578
The Latin America, Middle East and Africa Computational Pathology Market would witness market growth of 8.9% CAGR during the forecast period (2025-2032).
The Brazil market dominated the LAMEA Computational Pathology Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $38.9 million by 2032. The Argentina market is showcasing a CAGR of 9.7% during (2025 - 2032). Additionally, The UAE market would register a CAGR of 7.8% during (2025 - 2032).
Computational tools can identify early signs of coronary artery disease or myocardial infarction by analyzing tissue samples from the heart or vascular tissues. These tools help assess the extent of damage and predict potential outcomes, thus aiding in personalized treatment planning. These pathology also supports microbiology by enabling the analysis of microbial pathogens present in human tissue samples.
By automating the detection of pathogens in digital images, this technology accelerates diagnosis and treatment, especially in complex or rare infections. The adoption of this pathology technologies has grown rapidly, largely driven by the need for more efficient, accurate, and scalable diagnostic tools. As healthcare systems seek to modernize and integrate more advanced technologies, this pathology has emerged as a key area for improvement.
Brazil's burgeoning AI sector, with over US$1 billion in spending in 2023-a 33% year-over-year growth-represents a critical catalyst for developing these pathology solutions. Intelligent Process Automation (IPA) investment, which reached US$214 million in the same year, underscores a national commitment to advanced data processing and automated diagnostics. This ecosystem provides fertile ground for computational pathology, which relies heavily on AI and machine learning algorithms to analyze medical images and data with higher accuracy and speed. In the UAE, the government's proactive approach to healthcare-evident in the allocation of 8.4% of the USD 15.8 billion federal budget for 2022-demonstrates its dedication to modernizing the sector. UAE Vision 2040 further emphasizes healthcare as a strategic priority, making the country a hub for regional healthcare innovation and distribution. This emphasis on digital transformation and quality care creates significant opportunities for adopting computational pathology. In conclusion, the synergistic rise in AI investment in Brazil, strategic healthcare prioritization in the UAE, and the urgent need to tackle chronic diseases in Saudi Arabia are collectively shaping a conducive environment for market growth.
Based on Component, the market is segmented into Software and Services. Based on Application, the market is segmented into Disease Diagnosis, Drug Discovery & Development, and Academic Research. Based on End-use, the market is segmented into Hospitals and Diagnostic Labs, Biotechnology & Pharmaceutical Companies, Academic and Research Institutes, and Other End-use. Based on Technology, the market is segmented into Machine Learning (ML), (Deep Learning and Other Machine Learning (ML)), Computer Vision, Natural Language Processing (NLP) Models, and Other Technology. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
List of Key Companies Profiled
LAMEA Computational Pathology Market Report Segmentation
By Component
By Application
By End-use
By Technology
By Country