Dubai airport and mall trips topped ride-hailing journeys in 2025, report reveals

New mobility data from Yango Ride reveals Dubai’s airports and major shopping centers dominated ride-hailing destinations throughout 2025, highlighting shifting urban transportation patterns across the UAE. The comprehensive report indicates Zayed International and Dubai International Airports recorded the highest frequency of rides, closely followed by prominent leisure and retail hubs including Yas Mall and Dubai Mall.

The study demonstrates how ride-hailing services have transitioned from occasional convenience to essential urban infrastructure, seamlessly integrating into daily routines for work commutes, shopping expeditions, and social engagements. Concurrently, the data reveals a pronounced consumer preference for practical economy vehicles over premium options across the MENA region. Mid-size sedans, particularly Toyota Camry models, emerged as the most frequently utilized vehicle category, reflecting user prioritization of predictable pricing, consistent availability, and functional comfort.

Hisham Bakry, a frequent business traveler, commented: ‘I utilize airport rides weekly for both professional and personal commitments. Economy options provide optimal practicality and affordability when traveling light—reliability consistently outweighs luxury considerations for my needs.’

The report further notes remarkably efficient service metrics, with Abu Dhabi maintaining average pickup times under six minutes, underscoring the sector’s evolution toward dependable urban mobility solutions.

Concurrently, artificial intelligence integration has dramatically expanded within transportation platforms. Yango Yasmina recorded substantial user engagement growth during Q4 2025, with average daily interactions reaching 22 and peaking at 44 on high-demand days. Notably, 60% of platform interactions occurred primarily in Arabic, indicating strong localization adoption.

Ahmed El-Sayed, 22, explained: ‘AI assistants streamline ride requests through natural language processing and comparative service analysis. However, dynamic traffic conditions and sudden surge pricing can occasionally impact recommendation accuracy.’

Sara Magboul praised Arabic-language interfaces for reducing booking complexities: ‘Native language functionality eliminates navigation guesswork and ensures transparent pricing and pickup details, significantly reducing travel stress.’