Find strong-demand / weak-supply markets you’d missed.
Atlas scans 12 emerging markets for a specific use case: SME lending infrastructure. The competitive-landscape agent identifies Egypt, Vietnam and Nigeria as strong-demand / weak-supply. The founder adjusts the roadmap to target Vietnam first, backed by Atlas’s consumer intelligence on local financial behaviour.
Run Atlas- 1
Describe the task
Atlas can Quick-Scan a wide field of markets for the specific shape you want, strong demand and weak supply, and surface the white-space opportunities a founder would otherwise miss. Its competitive-landscape agent maps demand signals against incumbent coverage for a defined use case and returns the markets where the gap is real, a shortlist you can narrow to a deeper side-by-side comparison of the top few.
The more precisely you name the use case, the sharper the gap analysis. Tell Atlas the exact product category, the buyer, and what "underserved" means to you, and it will rank the markets where demand outruns supply for that specific thing.
Scan 12 emerging markets for a white-space opportunity in SME lending infrastructure (the rails, not the lender). For each market: - Gauge demand, count and growth of SMEs underserved by existing credit - Map supply, incumbent lending-infra providers and their coverage - Score the demand-vs-supply gap for our specific category Rank the 12 by white-space strength (strong demand, weak supply) and name the top 3 to take into a deeper side-by-side comparison. For the leaders, add a read on local financial behaviour that would shape how we enter.
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Give Atlas context
In an Atlas workspace, define the use case narrowly and list the markets to scan. Atlas Quick-Scans demand and supply for that exact category in each of the twelve, so the ranking reflects a real gap in your product space rather than general market attractiveness: a shortlist you can narrow to a deeper comparison of the top few.
Be precise about what counts as a competitor. "SME lending infrastructure" is not "consumer fintech", telling Atlas where the category boundary sits keeps the supply map from over- or under-counting, which is what makes a white-space claim trustworthy.
Required contextThe specific use case to scan for, here SME lending infrastructureThe list of markets to scan, here 12 emerging marketsOptional contextA definition of the category boundary, what is and isn’t a direct competitorYour constraints, licensing you can obtain, partners you can reach, capital you can deployA note on which financial behaviours matter most for your productuse-case-def.mdemerging-markets.csventry-constraints.md - 3
What Atlas creates
Atlas returns the 12 markets ranked by white-space strength, each scored on demand and supply for your specific category. The strong-demand / weak-supply markets rise to the top, with a consumer-intelligence read on local financial behaviour for the leaders so the roadmap decision is grounded, not guessed.
From Atlas: Quick-scanned 12 emerging markets for the SME-lending-infrastructure gap in use-case-def.md.
3White-space markets identified12Markets Quick-Scanned to a shortlistVietnamTop-ranked opportunityStrong demand, weak supply3 marketsMarket Demand Supply Gap score Vietnam High, fast-growing SME base Thin, no dominant infra provider 87 Egypt High, large informal SME sector Fragmented, mostly bank-led 81 Nigeria High, young digital-first SMEs Emerging but under-capitalised 78 Crowded, deprioritise2 marketsMarket Gap score Note India 34 Strong demand but several well-funded incumbents already own the rails Indonesia 41 Demand solid, supply maturing fast, window narrowing "Vietnam, Egypt, and Nigeria all show strong demand against thin supply, Vietnam leads at 87. Local financial behaviour in Vietnam favours mobile-first, partner-distributed credit, which should shape the entry model. Want the Vietnam-first roadmap, or a deeper read on Egypt?"
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Follow-up prompts
Turn the leader into a roadmap
Once Vietnam ranks first, Atlas can build the entry roadmap, sequenced around local financial behaviour, distribution partners, and the licensing path for lending infrastructure.
Build a Vietnam-first expansion roadmap for SME lending infrastructure: the licensing path, the partner-distribution model local behaviour favours, and a phased 12-month rollout.
Deepen the behavioural read
White space only converts if you enter the way the market buys. Atlas can go deeper on local financial behaviour for the top market so the product fits real usage patterns.
Do a deeper consumer-intelligence read on how Vietnamese SMEs currently access and repay credit, and translate it into three product requirements for our lending-infra offering.
Re-scan as the window moves
White space closes as competitors arrive. Atlas can re-run the same scan later to confirm the gap still exists before you commit, and flag any market that has since crowded.
Re-scan the same 12 markets in 90 days using the identical gap-scoring method, and tell me if Vietnam, Egypt, or Nigeria has lost white-space strength to new entrants.
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Tips and troubleshooting
Draw the category boundary tightly
A white-space claim is only as good as the definition of "competitor." Tell Atlas exactly what counts as direct supply, or a crowded market can look empty and an empty one crowded.
Pair the gap with behaviour before committing
A strong demand-supply gap says where to look; local financial behaviour says how to enter. Ask Atlas for both on the leaders, so the roadmap reflects how the market actually buys.
White space is time-sensitive
A weak-supply market can crowd within a year. Treat the ranking as a snapshot and re-run the scan before major commitments, so you enter a gap that still exists.
Ready to try it yourself?
Define the use case precisely, scan the field, and let Atlas surface the strong-demand / weak-supply markets your roadmap would otherwise have walked past.
Run Atlas