Over the past decade, ride-hailing helped tens of millions step past public transport, providing flexibility in cities formed by fast inhabitants progress and uneven infrastructure. As extra individuals enter the workforce and households more and more depend on twin incomes, time stress is turning into simply as essential as affordability.
In 2026, mobility platforms are not judged solely by the variety of accomplished rides, however by how deeply they combine into on a regular basis life. That is the context during which inDrive, a world firm specialised in ride-hailing, supply, cargo transportation, and concrete providers, is shaping its plans for the 12 months forward.
Earlier this week, Tech Funding Information sat down with Andries Smit, Chief Development Companies Officer at inDrive, the place new analysis from Oxford Economics on in-app fare negotiation was offered. Listed below are some key findings!
Journey-hailing demand continues to develop
Regardless of ongoing debate about saturation in international mobility markets, ride-hailing demand is predicted to proceed rising by means of 2026, significantly in rising economies.
“Now in these rising markets, we’re seeing some actually thrilling tendencies. We’re seeing inhabitants progress, financial progress, younger generations excited for having access to the market, beginning to work, being productive, and that’s additionally the place we come into play,” says Smith to TFN.
As incomes rise and households develop into extra cellular, ride-hailing more and more fills the hole between public transport and personal automotive possession. “We assist empower a brand new technology, and particularly a cost-conscious shopper, some customers, drivers, passengers that may not had entry to mobility previously,” he provides.
From inDrive’s perspective, the primary constraint on progress shouldn’t be demand however provide. “The idea, for me, although, is that now we have a really robust thesis that demand will proceed to extend, and secondly, that in mobility, the constraint is provide. Even at inDrive. If we had and will generate extra drivers sooner, we’d develop even sooner,” Smit explains.
“I nonetheless suppose there’s a large market, numerous alternative, and structurally, ought to be capable to be fairly profitable for drivers for few years,” he provides.
Why grocery supply matches the mannequin
Probably the most notable shifts in inDrive’s roadmap is its move into grocery supply. The choice is rooted much less in diversification for its personal sake and extra in how customers already work together with the app.
“With ride-hailing, there may be at all times intent. You don’t open our utility simply to browse or discover. You open it since you’ve bought one thing in thoughts. You want a transfer, and you’ve got a sure use case that you just wish to fulfil,” Smit says.
That intent creates moments of sustained engagement. “Once they’re elevating a visit, but in addition if you’re ready to your automobile, this might be 5–7 minutes; if you’re contained in the automobile, it might be 20–21 minutes — that’s a very extremely engaged person,” he notes.
In rising markets, the place individuals ceaselessly examine their telephones and juggle a number of day by day obligations, this creates a chance to handle different wants. “We additionally know that a number of the different day by day necessities that these households want, the cost-conscious shopper must put meals on the desk. They should order groceries.”
The concept is simple: if somebody is already utilizing the platform to save lots of time getting round, serving to them choose up necessities is sensible and seems like a logical subsequent step, somewhat than only a random add-on.
Honest pricing and market stability
On the coronary heart of inDrive’s strategy is its negotiation-based pricing mannequin, which permits riders and drivers to agree on fares instantly. A brand new research by Oxford Economics, based mostly on surveys of riders and drivers throughout seven rising markets, together with Colombia, Egypt, Mexico, Morocco, Nepal, Pakistan, and Peru, suggests this mannequin can unlock extra rides and cut back inefficiencies in on-demand mobility.
Based on the analysis, round 75% of inDrive journeys throughout these markets concerned negotiated fares, rising to about 80% in components of Latin America and the Center East. In Latin America, almost two-thirds (64%) of each riders and drivers stated they full extra journeys as a result of they will negotiate fares.
“The dynamics, market dynamics, are by no means international, or by no means equal. The market is tough to say. I imply, this will likely be very, very particular to a selected metropolis, even generally to a selected suburb,” says Smit.
Oxford Economics frames this shift as a part of a broader evolution in ride-hailing, from pure automation in the direction of human–algorithm collaboration: algorithms present an preliminary fare estimate, however riders and drivers can modify it to replicate real-world circumstances.
How AI matches into mobility
Synthetic intelligence is already a part of inDrive’s operations, although Smit is cautious about overstating its near-term affect on the person interface. “Routing, map optimisation, and estimating occasions of arrival have seen almost a decade of AI improvements. Whereas we didn’t label it as such and it wasn’t in vogue because of the LLM pattern, these improvements have been positively current,” he says.
AI will proceed to drive effectivity behind the scenes, significantly in lowering operational prices and bettering matching.
“When you already know precisely what you need, this easy methodology of filling in particulars is often the quickest. Take mobility, for instance, you solely have to enter a couple of issues: your tackle, your vacation spot, and the worth, and that’s all. It’s onerous to discover a sooner course of than that,” he provides.
What’s subsequent for InDrive?
InDrive’s plans for 2026 present a altering strategy to mobility platforms in rising markets. inDrive is at the moment working in 48 nations.
There’s additionally rising demand for ride-hailing providers, and grocery supply is rising as a pure extension of the necessity to save time. AI is getting used primarily to enhance effectivity behind the scenes, whereas in-app fare negotiation offers riders and drivers extra say over costs and helps deliver extra rides onto the highway.
