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Upcoming Trade Shows in UAE for Laboratory
ARABLAB 2025, Dubai, UAE
23 - 25 Sep 2025
CPhI Middle East 2020, Abu Dhabi, UAE
Coming soon
The clinical laboratory industry in the UAE reaps the benefits of artificial intelligence as AI tech is increasingly integrated into healthcare services. In 2017, the UAE launched its ambitious Strategy for Artificial Intelligence, appointing the first Minister of State for AI and setting a path to becoming a global leader in AI investments within healthcare. AI will be the first offensive line in the war against chronic diseases. AI-driven innovations in laboratories are predicted to add approximately $182 billion to the UAE’s economy by 2035.
The adoption of AI is reshaping the laboratory industry in the UAE, driving the development of the “AI lab of the future.” AI tools streamline diagnostic processes by minimising human error, increasing productivity, and significantly reducing the time required for test results. As demand for laboratory services grows in the UAE, driven by an increase in chronic diseases and a rising number of inpatients and outpatients, the need for enhanced accuracy and efficiency becomes paramount. Clinical decisions by physicians are based on laboratory test results in over 70% of cases, underscoring the essential role that clinical laboratories play in the healthcare system.
According to a 2019 report on Clinical Laboratory Services in the MENA region, the UAE is expected to see a threefold increase in inpatient and outpatient volumes from 2016 to 2030, from 29.3 million to 95.3 million. This spike highlights the urgency to advance automation and AI integration in laboratory services to meet rising demands. As AI enables laboratories to process and analyse data swiftly, it also helps reduce diagnosis delays and improve patient outcomes. Despite clinical laboratory services accounting for only 5-7% of healthcare expenses, their impact is critical. The UAE is investing heavily in technologies that improve operational accuracy and efficiency. These advancements include automated systems capable of handling routine tests and complex diagnostics.
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