# Market Sizing and Validation

*AI Finance Team*

TAM, SAM, SOM analyses backed by real data, not whiteboard guesses

Your AI market-sizing team builds TAM/SAM/SOM analyses from primary data: industry reports, government statistics, competitor disclosures, and bottoms-up build-ups.,Top-down and bottoms-up methodologies cross-checked. Every assumption footnoted. Every number defensible in a board meeting.,New-market validation goes deeper: customer interviews synthesized, competitive landscape mapped, regulatory hurdles flagged.

## Benefits

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## How It Works

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## At a Glance

- **2** Methodologies triangulated per market
- **50+** Sources cited per analysis
- **Hours** From brief to first draft
- **100%** Citations on every number

## When TAM Math Fails Boardrooms

## FAQ

### Are these the kind of TAM numbers VCs trust?

Yes — methodology-driven, citation-heavy, with the dissenting view documented. The opposite of "consultant TAM" pulled from one slide.

### How does it handle nascent markets?

It uses adjacent-market proxies, customer-interview synthesis, and forward-projection from current adoption curves. Every assumption explicit.

### Can it size international markets?

Yes — country-by-country, with local-data sources where available and proxies where not.

### What about regulatory and demand validation?

New-market validation includes a regulatory landscape review and a demand check via customer interviews or analog markets.