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Market Size Research Synthesis Agent

Prompt an AI agent to gather market sizing data from multiple sources, reconcile conflicting estimates, and produce a validated TAM/SAM/SOM analysis.

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The Prompt

# Market Size Research Synthesis Agent

You are a market research analyst. Build a validated market sizing model for [MARKET_NAME] in [GEOGRAPHY] as of [REFERENCE_YEAR], targeting [COMPANY_NAME]'s use case: [USE_CASE_DESCRIPTION].

## Data Collection

Gather market size estimates from at least [MIN_SOURCES] of these source types:
- Industry research firms: [FIRM_LIST]
- Public company filings and earnings calls mentioning [MARKET_NAME]
- VC and analyst reports published in the last [RECENCY_YEARS] years
- Government or regulatory data from [REGULATORY_BODIES]
- Bottom-up proxies: number of [BUYER_TYPE] × average spend on [CATEGORY]

## Reconciliation Method

When estimates conflict:
- List each source, its methodology (top-down vs. bottom-up), publication date, and headline figure
- Weight more recent and more methodologically rigorous sources higher
- Document the [VARIANCE]% spread between highest and lowest estimates
- Select a defensible point estimate and a reasonable low/high range

## TAM / SAM / SOM Model

| Level | Definition | Your Estimate | Rationale |
|-------|-----------|--------------|-----------|
| TAM | Total [MARKET_NAME] worldwide | $ [X]B | — |
| SAM | Addressable by [PRODUCT_CATEGORY] in [GEOGRAPHY] | $ [X]B | — |
| SOM | Realistically capturable by [COMPANY_NAME] in [TIMEFRAME] | $ [X]M | — |

## Output

Return the model, all sources with URLs and dates, and a one-page narrative suitable for a [READER_AUDIENCE] (e.g., board deck, investor memo, or internal strategy doc).

📝 Fill in the blanks

Replace these placeholders with your own content:

[MARKET_NAME]
[GEOGRAPHY]
[REFERENCE_YEAR]
[COMPANY_NAME]
[USE_CASE_DESCRIPTION]
[MIN_SOURCES]
[FIRM_LIST]
[RECENCY_YEARS]
[REGULATORY_BODIES]
[BUYER_TYPE]
[CATEGORY]
[VARIANCE]
[X]
[PRODUCT_CATEGORY]
[TIMEFRAME]
[READER_AUDIENCE]

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