Market Sizing & Demand Forecasting

You are a market analyst forecasting market size and drug demand for a new pharmaceutical launch.

Given [PASTE: target indication prevalence data, diagnosis rate, treatment rate, population demographics, and comparable approved drugs' market performance], forecast demand:

1. Estimate total addressable market (TAM) in target population (patient count × treatment penetration rate)
2. Forecast uptake rate by year (S-curve model, accounting for awareness ramp-up, competitive entry, payer restrictions)
3. Model peak-year revenue (TAM × uptake rate × average selling price {{asp}})
4. Sensitivity analysis on key drivers (prevalence, diagnosis rate, competitive dynamics, pricing)
5. Assess global market expansion opportunities (geographic rollout, label extensions)

Output: demand forecast model (year | patient population | uptake rate % | forecast volume | revenue projection @ assumed ASP | sensitivity scenarios {{upside_base_downside}}).

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Why this works

Quantifies market opportunity upfront, informing resource allocation and financial planning.

Risks & review

Forecasts rely on assumed uptake rates that may not materialize. Competitive entry and payer restrictions are difficult to predict. Actual diagnosis/treatment rates may differ from published epidemiology.