COMMON MISTAKES· 24 AUGUST 2026

The vague TAM: why '£50 billion market' hurts more than it helps

Citing a huge top-down market figure with no segmentation signals you haven't sized your real market. Here's the credible TAM/SAM/SOM approach.

TorlyAI Editorial
TorlyAI EditorialEditorial Team
24 August 2026 · 8 MIN READ
torly.ai/insights/vague-tam-fifty-billion-market
The vague TAM: why '£50 billion market' hurts more than it helps

There's a specific sentence that appears in an enormous number of business plans, and it tends to do the opposite of what the founder intends: "This is a £50 billion market." Or £30 billion, or £100 billion — the exact figure varies, but the pattern is identical. A large, top-down, unsegmented number is presented early in the market section, apparently to establish scale and ambition.

To an assessor who has read hundreds of these plans, that sentence is a warning sign, not a selling point. It usually means the founder has found an impressive industry-wide statistic and has not yet done the harder, more relevant work of figuring out what share of that number their actual business could plausibly reach.

Why the big TAM number backfires

The core problem is a mismatch between what the number claims and what the business plan needs to demonstrate. The Innovator Founder Visa isn't assessing whether an industry is large — it's assessing whether this specific founder, with this specific business, in the UK, can realistically capture meaningful revenue. A £50 billion global or national industry statistic answers a question nobody asked and skips the question that actually matters: how much of that money can this business plausibly reach, and how do you know?

Assessors have seen the pattern often enough to recognise its usual cause. A large unsupported TAM is frequently the result of a founder searching for an impressive statistic to open the market section with, rather than building the market case up from actual customer and pricing assumptions. The presence of the big number, unaccompanied by any segmentation, is itself the tell — regardless of whether the number is even accurate.

The TAM/SAM/SOM framework, applied honestly

This framework is well known, but it's frequently applied cosmetically — three numbers presented in descending order without real derivation connecting them. Done properly, each layer should visibly narrow the one above it using stated, defensible logic.

TAM (Total Addressable Market) — the broadest, top-down figure: total spend on this category, globally or nationally. Useful only as context for scale. It should be labelled clearly as a ceiling, not presented as evidence of anything specific to this business.

SAM (Serviceable Addressable Market) — the portion of the TAM actually reachable given the business's real constraints: geography (UK only, or a specific region), customer segment (which type of customer within the category), and business model (which part of the value chain the business actually serves). This number should be visibly smaller than the TAM, and the founder should be able to explain exactly which filters produced the reduction.

SOM (Serviceable Obtainable Market) — the realistic revenue the business could capture within a defined timeframe, given actual capacity, competition, and go-to-market constraints. This is the number that should carry the most weight in the plan, because it's the one closest to an actual forecast. It should be built bottom-up: target customer count × realistic price point × plausible capture rate, with each input stated and defensible.

A TAM tells an assessor how big the ocean is. A SOM tells them whether you've actually caught a fish. Only one of those numbers is evidence.
Common practitioner framing in market-sizing critique

A worked example of the difference

Weak version: "The UK productivity software market is worth £12 billion, growing 8% annually. Our product is well positioned to capture a share of this growing market."

This tells an assessor almost nothing. It doesn't say who the customer is, what fraction is realistically reachable, or why this business specifically would capture any of it.

Credible version: "There are approximately 47,000 UK-based accountancy firms with 5–20 staff (ONS business population estimates), of which an estimated 60% currently use manual reconciliation processes based on our interviews with 22 firms. At a realistic price point of £150/month and a conservative 2% market penetration within three years, this represents a SOM of approximately £1.5 million in annual recurring revenue — a small fraction of the broader UK accounting software TAM, but a specific, derivable target this business can credibly pursue."

The second version is more modest in absolute size and dramatically more persuasive, because every number in it traces back to a stated assumption a reader could question, adjust, or verify. See customer discovery interview questions for how to generate the underlying evidence that feeds a credible SAM/SOM calculation.

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Where to actually find UK-specific sizing data

Founders often reach for global or US-centric TAM figures because they're easier to find than UK-specific niche data. This is worth resisting, because the visa is specifically about the UK market. Useful UK sources include:

  • ONS (Office for National Statistics) business population and industry statistics, for base rates on business counts and sector size.
  • Trade association reports for the specific sector, which often have more granular segment data than general market research firms.
  • Companies House data on named competitors, useful for triangulating realistic revenue scale in an adjacent or comparable business.
  • Bottom-up calculation from primary research — when no clean secondary source exists for a narrow niche, building the number from your own customer interviews and pricing tests is not a weaker approach than citing a report; it's often stronger, because it's directly derived and directly defensible. See competitor analysis that actually helps your case for how to use named competitor data as a sizing input.

Why this connects to validating B2B vs. B2C ideas

The mechanics of a credible SAM/SOM calculation differ meaningfully depending on business model — see validating a B2B vs. B2C idea for the fuller treatment. A B2B business can often size its SAM with real precision (a countable number of target companies, a known average contract value), while a B2C business typically needs to lean more heavily on funnel assumptions (addressable population × conversion rate × price). Neither is inherently weaker, but each needs the derivation to match its actual business model rather than borrowing a generic industry statistic that doesn't reflect either.

The confidence paradox

There's a counter-intuitive dynamic worth naming directly: founders often reach for the big TAM number because it feels more impressive, more ambitious, more investor-ready. In practice, with a trained reader, the opposite is usually true. An unsupported large number reads as insecurity about the real numbers — as if the founder is hoping scale alone will substitute for evidence. A modest, well-derived SOM reads as confidence, because it shows the founder has actually done the work and isn't afraid to show a specific, checkable answer.

Sources and further reading

Key takeaways

  • A large, unsegmented TAM figure signals to assessors that the founder hasn't sized their real, reachable market — it substitutes scale for evidence.
  • Apply TAM/SAM/SOM honestly: each layer should visibly narrow the one above it using stated, defensible logic, not just descending round numbers.
  • The SOM figure should carry the most weight — built bottom-up from customer count, price, and realistic capture rate.
  • Use UK-specific sources (ONS, trade associations, Companies House, primary research) rather than global or US-centric statistics.
  • A modest, well-derived SOM is more persuasive to a trained reader than a large, unsupported TAM — specificity reads as confidence, not smallness.
  • Tailor the sizing approach to your business model: B2B SAM/SOM can often be counted directly; B2C usually needs funnel-based assumptions.

Tags
  • market-sizing
  • common-mistakes
  • tam-sam-som
  • market-analysis

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