3 Unexpected Insights from Global Ride-Hailing Data
3 Unexpected Insights from Global Ride-Hailing Data
But beyond convenience, ride-hailing trends reveal deeper patterns of consumer behavior.
Insights from TGM Global Ride-Hailing Insights 2026 show that ride-hailing usage patterns reflect how people structure their routines, participate in social life, and respond to different urban mobility systems.
Key Takeaways
- Ride-hailing has become a regular part of daily life, with nearly 2 in 3 people globally using these services in the past year.
- LATAM is one of the most active regions, where 90% consumers have used ride-hailing services in the past 12 months.
- Older consumers are more likely to use ride-hailing as a backup option during emergencies or when other transport is unavailable.
- Price is still the biggest factor when choosing a ride-hailing platform, but safety also strongly influences decisions in markets like APAC and Africa.
- The future of ride-hailing will depend on balancing affordable pricing, reliable service, and strong safety features.
Ride-Hailing Is Becoming a Daily Mobility Habit
The intensity of usage becomes even more visible when examining regional patterns. LATAM stands out as one of the most active ride-hailing markets:
- 90% of respondents in LATAM used ride-hailing services in the past 12 months (N=4025)
- Nearly 50% are heavy users, taking rides once a week or multiple times per week (N=3636)
Ride-Hailing Follows Social Life, Not Just Work Schedules
When asked about their primary motivations for using ride-hailing services: Social and leisure activities such as restaurants, nightlife, and visiting friends rank as the top reason globally.
This pattern is especially pronounced among younger riders. Gen Z and Millennials aged 18–44 are the most active users in these contexts, frequently using ride-hailing to move between social venues and entertainment districts. In many cases, ride-hailing enables flexible social mobility, making spontaneous outings easier and reducing reliance on fixed transport schedules.
This contrast reveals two distinct behavioral roles for ride-hailing:
- Lifestyle mobility for younger users navigating social activities
- Reliability and contingency mobility for older riders
Price Sensitivity Shapes Platform Choice
However, pricing is not the only concern. In certain regions, especially where urban mobility systems are more complex or safety concerns are more pronounced, other factors become equally important.
- Nearly 8 in 10 senior citizens in China (aged 55–65, N=117) rank safety and security features as a key consideration.
- 72% of ride-hailing users in South Africa say safety features influence their platform choice (N=789).
What This Means for the Future of Ride-Hailing
- Cost efficiency will remain central to competition: With price identified as the most influential factor when choosing a ride-hailing service, platforms will continue looking for ways to reduce operational costs. One potential pathway is the expansion of electric vehicle (EV) fleets, which can significantly lower fuel expenses and maintenance costs over time. As EV adoption grows, these savings may translate into more competitive fares for riders.
- Subscription-based models may strengthen user loyalty: As ride-hailing becomes a habitual service for many users, especially frequent riders, subscription programs can provide consistent value. Monthly plans that offer discounted fares, ride credits, or exclusive promo codes could encourage repeated usage while helping platforms stabilize demand.
- Trust and safety will remain critical differentiators: In regions where safety concerns influence adoption, investments in driver verification, real-time ride tracking, and emergency features will continue to shape consumer trust and platform preference.
Methodology
The TGM Global Ride-hailing Insights 2026 study is based on a large-scale quantitative survey conducted across multiple regions worldwide, designed to capture consumer ride-hailing usage patterns, demand drivers, and platform decision factors in 2026. The study provides comparable, country-level data to support market assessment, localization, and strategic planning for mobility platforms and stakeholders.
- Survey Methodology: Online interviews using CAWI (Computer-Assisted Web Interviewing)
- Sample Size: 19,780 participants
- Age Groups: 16–75+
- Country Coverage: China, India, Indonesia, Malaysia, Vietnam, South Africa, Kenya, Morocco, Saudi Arabia, UAE, Egypt, Czech Republic, Finland, France, Germany, Italy, Norway, Poland, Portugal, Romania, Spain, Switzerland, Turkey, the United Kingdom, Argentina, Brazil, Colombia, Mexico, Canada, and the USA
- Data Weighting: Results have been weighted to reflect national demographics for accurate market representation.