Statista aggregates industry statistics into citable charts. Cafiyn Lens sizes your specific market bottom-up and scores whether to enter it. The difference is a slide versus a decision.
Statista is where numbers go to look authoritative. Need the global market size for anything from cloud kitchens to CRM software? There is a chart, with a clean design and a citation line, ready for your deck.
That is genuinely useful, and it is also exactly the trap. The chart answers at industry altitude: the whole category, globally, as forecast by an analyst firm some time ago. Your product, your buyer, your price point, and your reachable slice appear nowhere in it.
Investors know this, which is why the "$XB market by 2030" slide gets skimmed. What survives scrutiny is bottom-up math: how many companies fit your ICP, what fraction have the live problem, and what they realistically pay. Numbers you can audit, and that double as your first target list. We teach the method in our TAM, SAM, SOM guide.
There is also a freshness problem. Statista licenses and republishes third-party research; in fast-moving categories the underlying report is often two or three cycles behind the market you are actually entering, and the methodology sits behind a second layer of paywall.
Cafiyn Lens sizes from the other direction: current, countable evidence (companies, pricing pages, demand signals, hiring data) assembled into a bottom-up estimate with every input linked, inside a five-module assessment that also covers ICP, competition, positioning, and demand, with a scored verdict on top. From $14.99/mo, usually the same day.
Statista answers at industry altitude: the category is worth $X billion globally. Your product, buyer, and price point are nowhere in that number.
Cafiyn Lens sizes at decision altitude: how many companies fit your ICP, what they realistically pay, and what slice you can obtain. The number comes with its assumptions attached.
Statista's numbers are licensed republications of third-party forecasts, often years old and methodology-opaque past the paywall.
Cafiyn Lens builds the estimate from countable, current evidence (companies, pricing pages, demand signals) and links every input so you can audit the math.
| Capability | Cafiyn FlyWheel | Statista |
|---|---|---|
| Citable industry statistics | ||
| Ready-made charts for decks | ||
| Cross-industry coverage | ||
| Bottom-up TAM for your idea | ||
| SAM and obtainable-market math | ||
| ICP and buying committee map | ||
| Competitor teardown | ||
| Willingness-to-pay read | ||
| Demand-signal analysis | ||
| Scored viability verdict | ||
| Transparent, auditable sourcing | ||
| Founder-level pricing |
*Straight SaaS pricing: Cafiyn FlyWheel is $29 Ignition, $49 Trajectory, or $99 Orbit per month, priced in Wheels (1 Wheel = 1 target account through the full workflow). No revenue share.
Feature availability, pricing, and timelines reflect publicly available information at the time of comparison and may change. Time-to-meeting and time-to-revenue figures are indicative, not guarantees; results depend on product quality, market demand, pricing, and audience.
Statista describes industries. Lens sizes your market.
Keep Statista for context and the occasional deck statistic; it is good at being citable. When the number has to hold up (to an investor's question, or to your own decision to spend a year building), you need math you can defend line by line.
That is the number Lens ships, with its assumptions showing.
It is reliable as a republisher: the charts accurately reflect the underlying reports they license. The catch is what that means for a founder: the numbers are top-down category forecasts, often two to three years old, with methodology behind a second paywall, and at an altitude (global industry revenue) that says nothing about your product's obtainable market. Fine for context; weak as the basis for a build decision.
Because it is auditable and actionable. Bottom-up multiplies countable things: companies matching your ICP, the fraction with the live problem, a price anchored to what they pay today. Every input can be checked, challenged, and updated, and the first input doubles as your target-account list. A top-down chart can only be believed or not.
That is common for genuinely new categories, and it is the scenario bottom-up handles naturally: you size the problem (who visibly has it, what they spend working around it) rather than a category that does not exist yet. Cafiyn Lens does exactly this, building the estimate from current evidence with each source linked.
If you only need an occasional statistic, the free tier plus citations found elsewhere usually suffice. The paid tiers are built for analysts, consultancies, and universities producing reports at volume. For the one decision a founder actually faces (is this market worth entering), a purpose-built assessment costs less and answers the actual question.
A decision-grade market read with sources attached, usually the same day. Straight SaaS from $14.99/mo, cancel anytime.