Signal · Geopolitical Risk
Dubai’s DiabMart takes on the ‘89-day gap’ in diabetes care
What the source reported
Source-reportedA curated one-stop store for daily living with diabetes, layered with coaching, smart glucose technology and an AI companion — built for the 1.27 million adults living with diabetes in the UAEA person living with diabetes in the UAE will typically see their doctor four times a year, for about ten minutes at a time. The other 89 days of every quarter, they manage the condition on their own. DiabMart, a UAE-based digital platform for everyday diabetes care, aims to close that gap.Between quarterly medical appointments lie 89 days where daily diabetes management happens without clinical support. During this time, people living with diabetes make thousands of decisions around food, exercise, sleep and medication, choices that directly influence their health outcomes. DiabMart calls this the 89-Day Gap, highlighting the critical period where long-term diabetes control is shaped before the next doctor’s visit.According to the IDF Diabetes Atlas, 11th edition, more than 1.27 million adults in the UAE are living with diabetes, and close to 64% remain undiagnosed. The UAE is already moving to help through Nationwide screening programmes, digital health innovation and preventive care initiatives, including more than 150,000 diabetes screening tests conducted by the UAE Ministry of Health.DiabMart combines a curated online diabetes store with smart health technology and lifestyle support, providing diabetic-friendly food, continuous glucose monitoring (CGM) devices, diabetes care products, subscription-based delivery, and nutrition and fitness coaching. It also includes DiabMate, an AI-powered companion that helps members stay on track with daily habits, routines and reminders between appointments. Through DiabMart @ Work, the company extends the same support to employers looking to improve metabolic health across their workforce. The store carries over 1,000 products from more than 40 brands, delivers nationwide across the UAE, and is supported by live iOS and Android apps.“Healthcare is there on appointment day. We built DiabMart for every day in between,” said Hassan Siddiqui, Founder and CEO of DiabMart. “Living with diabetes taught me that the greatest challenge isn’t the consultation, it’s the thousands of decisions made across the 89 days that follow it. Diabetes is managed at the dinner table, during the morning walk, and in small daily choices. I built the platform and the companion I wished existed, so no one has to navigate those days alone.”As more people adopt connected glucose monitoring and subscription-based care, DiabMart is widening access to trusted health technologies across the UAE through partnerships with global manufacturers, regional distributors and employee benefits platforms. The company plans to extend the model across the GCC, starting with Saudi Arabia.
- Publication
- Gulf Today - Business · Business News
- Published
- 29th July 2026
- Original report
- gulftoday.ae
ProcIntel stores what the source published in its feed — a headline, a summary and a link. It does not store or reproduce the full article.
What ProcIntel recorded
ProcIntel-derived- Category
- Geopolitical Risk
- Geography
- UAE
- Organisations
- None identified
- Collected
- 31st July 2026 · 10:17
Initial assessment ProcIntel's automatic, provisional read of this individual Signal -- Initial Significance and Initial Confidence, computed deterministically before any Event extraction or human review.
A provisional, automatically computed reading of this individual Signal, before Event extraction or human review. Not a final rating.
Initial Significance Moderate (21.0/100). Strongest contributor: Geographic Breadth (7.0/10 points). Limiting factor: Likely Event Severity (3.0/30 points). Initial Confidence Low (26.0/100, data sufficiency: Partial). Strongest contributor: Source Authority (12.0/40 points). Limiting factor: Extraction Quality (3.0/15 points).
- Strongest contributor
- Geographic Breadth
- Limiting factor
- Likely Event Severity