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Financial Models

TAM, SAM, SOM: How to Size Your Market (With Example)

By Sofia Marchetti··7 min read

Key takeaways

  • TAM is the whole market, SAM is the part you can serve, SOM is what you can realistically win.
  • Calculate TAM two ways: top-down from industry reports and bottom-up from your unit economics.
  • SOM should reconcile with your bottom-up financial projections; it is the number you must deliver.
  • Investors scrutinize SOM and the logic to it, not the headline TAM.
TAMTotal addressable marketSAMServiceable addressableSOMServiceable obtainable
TAM, SAM and SOM are nested: each is a realistic subset of the market above it.

TAM, SAM, and SOM are three nested measures of market size. TAM (total addressable market) is the total revenue available if you captured 100% of the market. SAM (serviceable addressable market) is the slice your product and business model can actually serve. SOM (serviceable obtainable market) is the share you can realistically win in a few years. Investors read the three together to judge whether an opportunity is big enough and whether your plan to capture it is grounded.

Why the three numbers exist

A single market-size figure is easy to inflate, so the framework forces three levels of honesty. TAM proves the ceiling is high enough to build a venture-scale company. SAM proves you understand who you can actually sell to today, given your geography, segment, and pricing. SOM proves you are realistic about competition and your own capacity. A pitch that shows a $50 billion TAM but no credible path past a tiny SOM tells an investor the founder has not thought past the headline.

How to calculate TAM

TAM is the number of potential customers multiplied by the average annual revenue per customer. There are two ways to reach it. The top-down method starts with published industry totals from sources like Gartner, IBISWorld, Statista, or the US Census, then narrows by relevant filters. The bottom-up method starts from your own unit economics, how many customers exist and what each pays, and builds up. Bottom-up is slower but far more defensible, because every assumption is yours to support. When the two methods land near each other, your estimate is credible.

From TAM to SAM to SOM, with a worked example

Suppose you sell scheduling software to US dental practices at $3,000 per year. Work the funnel down:

  • TAM: roughly 180,000 US dental practices multiplied by $3,000 is about $540 million a year. That is the whole market if everyone bought.
  • SAM: you only serve solo and small group practices already on cloud systems, say 60% of the total, or 108,000 practices, which is about $324 million. That is the part your product can serve.
  • SOM: against entrenched competitors you expect to win 3% within three years, roughly 3,200 practices, or close to $10 million in annual revenue. That is your near-term, obtainable target.

The figures above are illustrative; in a real plan each one is sourced. SOM is the number that should reconcile with your bottom-up financial projections, because it is the only one your team has to deliver in the planning window.

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Where TAM SAM SOM shows up in fundraising

Market sizing has two homes in a raise. It anchors the market-size slide in your deck, usually drawn as three concentric circles, and it sits inside the assumptions of your investor-ready financial model. The two must agree: a SOM on the slide that the spreadsheet cannot reproduce is the fastest way to lose credibility in diligence. The same SOM also feeds revenue forecasts that drive your startup valuation.

Common mistakes that sink the slide

  • Quoting a giant TAM with no bottom-up check, the classic "1% of a huge market" fallacy.
  • Confusing market revenue with the number of customers; state clearly which one you mean.
  • Letting SAM equal TAM because you have not defined who you can actually serve.
  • Setting a SOM your sales capacity and funding cannot reach in the stated timeframe.
  • Using a research report's headline without checking its definition matches your product.

How investors read it

Experienced investors barely glance at TAM and look hard at SOM and the logic connecting the two. They want to see that the market is large, that your wedge into it is specific, and that the near-term target is something your team and capital can actually hit. Getting that story right is part of how you pitch to investors with numbers that hold up under questioning.

Frequently asked questions

What is the difference between TAM, SAM, and SOM?+
TAM is the total revenue available if you captured 100% of the market. SAM is the portion your product and business model can actually serve, given segment, geography, and pricing. SOM is the share you can realistically obtain within a few years against real competition.
How do you calculate TAM?+
Multiply the number of potential customers by the average annual revenue per customer. You can work top-down from published industry totals (Gartner, IBISWorld, Statista, US Census) or bottom-up from your own unit economics. Bottom-up is more defensible because you can support every assumption.
Is TAM measured in revenue or number of customers?+
TAM is normally expressed as annual revenue, calculated as potential customers multiplied by average revenue per customer. State clearly which you mean, since some decks confuse market revenue with a raw customer count.
What is a realistic SOM?+
A realistic SOM is the revenue your sales capacity, funding, and timeline can actually deliver, typically a low single-digit percentage of SAM in the first few years. It should match the revenue line in your bottom-up financial projections.

About the author

Sofia Marchetti, Head of Financial Modeling

Sofia Marchetti

Head of Financial Modeling

Sofia came up through corporate FP&A and startup finance, building the driver-based models founders live or die by. At Planypals she leads the financial modeling and writes the guides on projections, unit economics, and cap tables. She is unmovable on one point — a number you can't trace back to a defensible assumption has no business being in the model.

Reviewed for accuracy by Claire Whitfield, Managing Editor.

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