Short answer: of the three, only Statista publishes a price - EUR 199 per month for Starter and EUR 599 per month for Personal, both billed annually, both single-seat. Mintel and Euromonitor publish none. And the detail that matters most is buried in Statista's own comparison table: publication rights are excluded from every tier that has a published price. You can spend EUR 7,188 a year and still not have the right to put the chart in a deck that leaves the building.
This is a comparison of what these three subscriptions actually sell, what they cost where cost is knowable, and the licensing constraint that determines whether the data is usable for the thing you almost certainly bought it for.
The 2026 landscape at a glance
All three are secondary-data businesses: they aggregate, model, and resell information about markets. They differ in what they aggregate and how far they commit to a number.
| Statista | Mintel | Euromonitor | |
|---|---|---|---|
| Core product | Statistics aggregation across sources | Consumer market reports | Passport database |
| Published price | Yes - EUR 199 / EUR 599 per month | No | No |
| Buy without a subscription | Yes | Yes - individually priced reports | Yes - individual reports |
| Stated coverage | 23,000+ companies as customers | 15 industry solutions | 210 countries, 99.9% of the world's consumers |
| Stated user base | Not stated on pricing page | "Thousands of global businesses" | 65,000+ active users; 5,700+ organisations |
| Free tier | Yes - Basic, EUR 0, unlimited period | Yes - Mintel Spotlight | No |
Euromonitor is the most forthcoming about scale. Its own Passport page states that its research "spans 210 countries and 99.9% of the world's consumers," backed by "a global network of on-the-ground analysts in 100 countries," with "65,000+ active users globally" across "5,700+ organisations."
Mintel publishes four service levels rather than prices: Mintel Spotlight (free access to newsletters, articles, podcasts and webinars), Market Intelligence Reports ("individually priced, immediate access", with "save up to 20% when purchasing multiple reports together"), an On-Demand Subscription giving "unlimited access to all reports within your chosen market," and Mintel Consulting for custom work.
Statista, uniquely, puts numbers on a public page - which is why it is the only one of the three whose licensing model can be examined without a sales call.
What Statista actually costs, and what each tier withholds
Taken verbatim from Statista's own plans page for individuals and small teams:
| Basic | Starter | Personal | Professional | |
|---|---|---|---|---|
| Price per month | EUR 0 | EUR 199 | EUR 599 | Talk to sales for pricing |
| Billing | Always free | Billed annually | Billed annually | 12 months |
| Licensed users | 1 | 1 | 1 | Up to 99 seats |
| Premium statistics | Not included | Included | Included | Included |
| Download as xls, png, pdf, ppt | Not included | Included | Included | Included |
| Automated citations | Not included | Not included | Included | Included |
| Reports | Not included | Not included | Included | Included |
| Publication rights | Not included | Not included | Not included | Included |
| Market Insights | Not included | Not included | Not included | Included |
Read the publication-rights row across. It is "Not included" at EUR 0, "Not included" at EUR 199 per month, and still "Not included" at EUR 599 per month - EUR 7,188 a year. It appears exactly once, on the only tier with no published price.
Statista's own footnote adds two more procurement facts, verbatim: "The account requires an annual contract and will renew after one year to the regular list price," and "For commercial use only." So the published tiers are annual commitments that auto-renew at list, and they are sold for commercial use while withholding the right to publish commercially.
The Professional tier is where the analytical product actually lives. It is the only one that includes Market Insights, and with it proprietary forecast data, country comparison, custom regions, up to 20 KPIs per market, and qualitative insights. Everything below it is a well-indexed library with a download button.
This is the single most useful thing to know before you buy: the tiers are not "same product, more seats." They are different products, and the boundary between "look at a number" and "use a number" sits between Personal and Professional - across the same line where the price stops being published.
The inversion: cheaper data, less usable data
Set this against what primary research costs. A traditional two-group focus group project runs $8,000 to $12,000, and we break that down in how much a focus group costs. Against that, EUR 199 a month looks like a rounding error, and this is exactly how secondary data gets approved: it is the cheap option on a slide next to the expensive one.
But the two purchases fail in opposite directions, and this is the point worth carrying away.
When you underspend on fieldwork, you get less data. Fewer interviews, thinner coverage, weaker claims - a deficiency you can see and describe. The failure is legible.
When you underspend on a data subscription, you get all the data and none of the rights. The number is on your screen. You can read it, and you may not publish it. Nothing about the interface tells you which side of the line you are on; the constraint lives in a contract, and it binds at exactly the moment the research becomes useful - when it leaves your laptop and enters a board deck, a pitch, an investor update, or a press release.
So the sign inverts. Spending less on primary research reduces how much you know. Spending less on secondary research reduces what you are allowed to do with what you know - and it does so silently, because a rights restriction has no visible symptom until legal asks a question or a claim is challenged.
This is also why "we have both" is such a comfortable and misleading position. We wrote about the structural version of this trade in syndicated data vs custom research, which covers the category-boundary problem in depth: the vendor chose the market definition, and that choice determines the number more than the measurement does. This piece is the commercial half of the same argument - not what the number means, but what you may legally do with it.
Which one to buy, honestly
Each has a job it does better than the other two.
| If you need | Buy | Why |
|---|---|---|
| A defensible number for a slide, fast | Statista Professional | Automated citations and publication rights; nothing cheaper grants them |
| Deep consumer behaviour in a specific category | Mintel | Report depth and consumer-trend framing; buy reports individually before subscribing |
| Cross-border market sizing and forecasts | Euromonitor Passport | 210-country standardised coverage is genuinely hard to replicate |
| To know why your customers do what they do | None of them | Secondary data records what happened, never why |
That last row is not a rhetorical flourish; it is the actual boundary of the product category. Every one of these subscriptions is a record of aggregate outcomes. None of them contains a sentence a customer said. When your question is "why did buyers pick the competitor," "what would make them switch," or "which of these three positionings lands," there is no tier and no price that answers it, because the answer was never collected.
The industry has quietly recognised this. ESOMAR's Global Market Research 2025 report puts research software at US$62 billion against traditional market research services at US$56 billion - software is now the larger sector. Spending has shifted decisively toward buying access to data rather than commissioning the collection of it. That makes the residual question - the one only a conversation answers - both rarer and more valuable.
For related buying decisions, see analyst reports vs customer research, expert networks vs customer interviews, and, for retail measurement specifically, NielsenIQ vs Circana vs Numerator.
Six questions to ask before signing any of the three
- What exactly may I publish, and where? Get publication rights, internal-versus-external use, and client-deliverable use in writing. Assume nothing is granted by default - Statista's own table shows why.
- How many named seats, and what happens when someone leaves? All three published Statista tiers are single-seat.
- What is the renewal price? "Will renew after one year to the regular list price" means your negotiated first-year discount is not the price you will pay in year two.
- Is the underlying source disclosed? Aggregators resell. If two of your sources ultimately cite the same study, agreement between them is not corroboration.
- What is the update cadence for the specific series I care about? Coverage claims are aggregate; individual series update at very different rates.
- What decisions will this actually settle? If the honest answer is "it will make the deck look researched," you are buying design, not evidence.
Where Koji fits
Everything above is about buying a record of what already happened. Koji is for the other half of the question - the part no subscription contains.
Koji is an AI-native customer research platform that runs AI-moderated voice and text interviews with your actual customers, prospects, and churned users, then applies automatic thematic analysis across every transcript and produces one-click reports the same day. There is no moderator to schedule, no facility to book, and no research expertise required. You do not need an audience of your own either: describe the market, the demographics and the screening you want, approve a live per-respondent quote in credits, and Koji recruits the respondents for you. Multi-market work runs the same way, and you can soft launch a small test batch before committing the full sample.
It also closes the gap that makes secondary data feel safer than primary. Teams reach for Statista because a number is countable and an interview transcript is not. Koji removes that trade-off with six structured question types - open_ended, scale, single_choice, multiple_choice, ranking, and yes_no - running inside the same conversation as open-ended probing. One study returns both a distribution you can chart and the verbatim explanation of why the distribution looks that way. See structured questions for how that works in practice.
And the licensing question disappears entirely: the insight is yours, because your customers gave it to you. There is no publication-rights tier on your own research.
Legacy incumbents - Qualtrics, SurveyMonkey, Typeform, UserTesting, Dovetail, dscout - and the big data subscriptions all sell you a way to look at customers. Koji lets you talk to them, at a price where the answer arrives before the decision is made: 10x faster insights, from question to insight in hours, not weeks.
Stop paying for the right to quote someone else's number. Start your first Koji study free and generate evidence you own outright.
Frequently Asked Questions
How much does a Statista subscription cost in 2026?
Statista publishes four tiers for individuals and small teams: Basic at EUR 0, Starter at EUR 199 per month billed annually, Personal at EUR 599 per month billed annually, and Professional at "talk to sales for pricing." Basic, Starter and Personal are single-seat; Professional supports up to 99. Statista's footnote states prices exclude sales tax, require an annual contract, and renew after one year at the regular list price.
Does a Statista subscription let me publish the charts?
Not on any tier with a published price. Statista's own comparison table marks publication rights "Not included" on Basic, Starter and Personal - including the EUR 599 per month Personal plan - and "Included" only on Professional, which has no published price. If your use case involves external decks, marketing content, investor materials or press, you need Professional and must contact sales.
How much do Mintel and Euromonitor cost?
Neither publishes subscription pricing. Mintel lists four service levels - Spotlight (free), individually priced Market Intelligence Reports with up to 20 percent off multi-report bundles, an On-Demand Subscription, and Consulting - all requiring contact for pricing. Euromonitor quotes Passport for 12 months of access and also sells individual reports, but publishes no rates. Both price by institution size and scope, so figures circulating online are unverifiable estimates.
Which is best for market sizing?
Euromonitor Passport is generally the strongest for cross-border market sizing and forecasting. Its own materials claim coverage spanning "210 countries and 99.9% of the world's consumers" with on-the-ground analysts in 100 countries, and standardised cross-country comparability is genuinely difficult to reproduce. Statista Professional includes proprietary forecast data and country comparison; Mintel is stronger on consumer behaviour within a category than on global sizing.
Is Statista a primary source?
No. Statista is an aggregator - it collects and re-presents statistics originally produced by other organisations. That is useful for speed and breadth, but it means two Statista series can trace back to the same underlying study, so agreement between them is not independent corroboration. Always follow the citation to the original source before making a claim you will need to defend.
Can secondary data replace customer interviews?
No, and the distinction is structural rather than a matter of quality. Secondary data records aggregate outcomes - what happened, at what scale, in which market. It contains no explanation, because reasons were never collected. Questions about motivation, objection, trade-off, or willingness to switch require asking customers directly. Platforms like Koji run AI-moderated interviews that return both verbatim explanation and structured, countable answers in the same study.
