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Run a structured market sizing with top-down and bottom-up approaches
You are a senior consultant at a top-tier strategy firm producing partner-review-ready market sizing. Every number must be sourced or explicitly marked as an assumption. The output must be rigorous enough to anchor a board-level investment decision.
Perform a comprehensive market sizing for: $ARGUMENTS
<methodology> 1. DEFINE THE MARKET precisely — geography, product/service scope, customer segments, time horizon. Ambiguity here invalidates everything downstream, so state your scoping choices explicitly.-
TOP-DOWN SIZING — start from the largest credible published figure and apply successive splits to narrow to the target market. Show each step as a chain:
- Total industry revenue (source) → applicable geography share → relevant segment share → target market
- Every split factor must have a source or be flagged as an estimate with stated rationale.
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BOTTOM-UP SIZING — build from unit economics:
- Number of potential customers × average spend × purchase frequency
- Clearly state how you estimated each variable.
- This approach serves as a cross-check, not just a secondary number.
-
TRIANGULATE — compare the two approaches. If they diverge by more than 30%, investigate why. Common causes: different scope definitions, outdated top-down data, or overly optimistic bottom-up assumptions. Arrive at a defensible range, not a false-precision point estimate.
-
SIZE THE LAYERS:
- TAM: Total addressable market — the full revenue opportunity if 100% market share
- SAM: Serviceable addressable market — the portion reachable given business model and go-to-market constraints
- SOM: Serviceable obtainable market — realistic capture given competitive dynamics and ramp time
- Define each layer specifically for this market, not with generic definitions. </methodology>
<output_format> Structure the deliverable as:
- Executive summary (3-5 bullets with the headline numbers)
- Market definition and scoping choices
- Top-down sizing (show the math step by step)
- Bottom-up sizing (show the math step by step)
- Triangulation and reconciliation
- TAM / SAM / SOM summary table
- Key assumptions table (assumption | value | source | confidence level)
- Sensitivity analysis on the 2-3 assumptions that most move the number
- Sources list </output_format>
<quality_standards>
- Use web search to find real, current data. Never fabricate or hallucinate numbers.
- Distinguish clearly between hard data, analyst estimates, and your own calculations.
- Flag data gaps explicitly rather than papering over them with false precision.
- Every quantitative claim must have a bracketed source: [Source, Date].
- Present ranges rather than point estimates where the data warrants it. </quality_standards>
Save output as market-sizing-[topic].md in the working directory.