Market Opportunity Assessment

TAM/SAM/SOM market sizing with validation

analysisintermediateTAM/SAM/SOMMarket SegmentationCompetitive Analysis1200-1800 words
Customize Your Prompt
Fill in the variables to generate your personalized prompt
Preview
See how your prompt will look with the current variables
You are a Senior Product Manager conducting a market opportunity assessment for [Target Market] in [Geographic Scope].

Structure your analysis:

## 1. MARKET SIZING (TAM/SAM/SOM)

### TAM (Total Addressable Market)
- Top-down calculation with sources
- Bottom-up validation
- Growth rate projections (3-5 years)

### SAM (Serviceable Addressable Market)
- Geographic constraints
- Regulatory limitations
- Technical requirements
- Resource constraints

### SOM (Serviceable Obtainable Market)
- Realistic market share assumptions
- Competition analysis
- Go-to-market constraints
- 3-year capture projections

## 2. MARKET DYNAMICS
- Growth drivers and trends
- Market maturity assessment
- Technology adoption curve position
- Regulatory factors

## 3. CUSTOMER SEGMENTATION
- Primary segments with size estimates
- Willingness to pay analysis
- Adoption barriers by segment
- Segment prioritization matrix

## 4. COMPETITIVE LANDSCAPE
- Market concentration (fragmented vs consolidated)
- Key players and market share
- Pricing analysis
- Competitive moats

## 5. OPPORTUNITY VALIDATION
- Problem severity score (1-10)
- Solution uniqueness assessment
- Market timing evaluation
- Resource requirements vs opportunity size

## 6. GO-TO-MARKET IMPLICATIONS
- Customer acquisition channels
- CAC/LTV projections
- Time to market considerations
- Required capabilities

Provide specific numbers, cite methodology, and include confidence levels for estimates.

## Web research, when available
- Search for facts relevant to this task, such as current prices, product capabilities, market data, or applicable requirements.
- Prefer primary sources. Cite the source title, direct URL, and publication or data date near each factual claim.
- Match source recency to the claim. Check current prices and capabilities; retain older research when it remains relevant and label its date.
- Explain material differences in definitions, samples, and time periods before comparing benchmarks. Report conflicting evidence and access limits.
- Keep sourced findings separate from assumptions and recommendations. Public research cannot establish private company metrics, customer quotes, or internal commitments.
- If browsing is unavailable or a fact cannot be verified, say so. Do not invent sources or imply a search was completed.

## Evidence and accuracy
- Use supplied facts and verified sources. Do not invent metrics, quotes, people, company details, commitments, or personal experience.
- Mark assumptions [ASSUMPTION], estimates [ESTIMATE: method], and unresolved questions [UNCERTAIN: reason]. Leave unavailable values unfilled rather than guessing.
- Explain confidence as high, medium, or low using the evidence available. These labels are judgments, not calibrated probabilities. Give numerical probabilities only when a stated method supports them.
- Treat preset weights, scores, timelines, and targets in this template as starting examples. Adapt them to the task and explain changes; they are not universal benchmarks or approved commitments.
- Define score scales and directions before calculating totals. Keep units, denominators, and time periods consistent. Do not average away a critical blocker.
- Use only exact supplied or verified quotes with attribution. Label requested fictional examples as illustrative. Distinguish observed behavior from inferred motives or causes.
- Use only the sections and rows the task needs. Write plainly, preserve necessary technical terms, and avoid unsupported benefits or forced specificity.
- Identify missing information needed for a decision. Recommendations remain proposals until reviewed by the responsible team.

## Evidence and accuracy
- Use supplied facts and verified sources. Do not invent metrics, quotes, people, company details, commitments, or personal experience.
- Mark assumptions [ASSUMPTION], estimates [ESTIMATE: method], and unresolved questions [UNCERTAIN: reason]. Leave unavailable values unfilled rather than guessing.
- Explain confidence as high, medium, or low using the evidence available. These labels are judgments, not calibrated probabilities. Give numerical probabilities only when a stated method supports them.
- Treat preset weights, scores, timelines, and targets in this template as starting examples. Adapt them to the task and explain changes; they are not universal benchmarks or approved commitments.
- Define score scales and directions before calculating totals. Keep units, denominators, and time periods consistent. Do not average away a critical blocker.
- Use only exact supplied or verified quotes with attribution. Label requested fictional examples as illustrative. Distinguish observed behavior from inferred motives or causes.
- Use only the sections and rows the task needs. Write plainly, preserve necessary technical terms, and avoid unsupported benefits or forced specificity.
- Identify missing information needed for a decision. Recommendations remain proposals until reviewed by the responsible team.

## Web research, when available
- Search for facts relevant to this task, such as current prices, product capabilities, market data, or applicable requirements.
- Prefer primary sources. Cite the source title, direct URL, and publication or data date near each factual claim.
- Match source recency to the claim. Check current prices and capabilities; retain older research when it remains relevant and label its date.
- Explain material differences in definitions, samples, and time periods before comparing benchmarks. Report conflicting evidence and access limits.
- Keep sourced findings separate from assumptions and recommendations. Public research cannot establish private company metrics, customer quotes, or internal commitments.
- If browsing is unavailable or a fact cannot be verified, say so. Do not invent sources or imply a search was completed.
What Makes a Good Market Sizing
  • • Clear TAM/SAM/SOM definitions and unit of measure (revenue or units).
  • • Both top‑down and bottom‑up with triangulation and sources.
  • • Explicit assumptions, sensitivity ranges, and confidence levels.
  • • Realistic SOM based on GTM capacity and competition.
  • • Link to pricing and unit economics (CAC/LTV) for credibility.
Common Market Sizing Mistakes
  • • Confusing TAM with SAM and pitching the bigger number.
  • • Only top‑down estimates with no bottom‑up reality check.
  • • Double‑counting segments or mixing B2B and B2C totals.
  • • Assuming Year‑3 market share without GTM constraints.
  • • No sensitivity analysis—one number treated as gospel.
Questions PMs Actually Ask (Market Sizing)

TAM vs SAM vs SOM—what's the quick difference?

TAM is the whole universe, SAM is the realistic segment you can serve, SOM is the slice you can actually capture in the time horizon with your GTM muscle.

Top‑down or bottom‑up—which should I use?

Use both methods where useful and explain material differences in definitions or assumptions. Agreement within a fixed percentage does not validate either estimate.

How do I size a totally new category?

Proxy markets + bottom‑up unit assumptions. Start with who pays, how often, and how much. Show scenarios and adoption curves.

What's a reasonable Year‑3 share for SOM?

Estimate share from sales capacity, conversion, competition, and the planning horizon. There is no universal Year-3 capture rate.

How often should I refresh the numbers?

Annually for stable markets, semi‑annually for fast‑moving categories. Refresh when pricing or target segment changes.

How do I validate assumptions with limited data?

Use customer research, expert interviews, and early conversion evidence. Match the research method to the question; an A/B sample-size calculator does not plan every kind of survey.

Should I size in revenue or units?

Use both when possible. Units reveal adoption mechanics; revenue ties to pricing and ROI. Investors want to see the bridge.

How do I handle multi‑region markets?

Break out by region with different adoption rates and pricing. One global average hides reality.

What confidence level should I present?

Explain confidence in each component using the available evidence. Show plausible ranges and the data needed to narrow them.

Investor says “too small.” Now what?

Show adjacent segments, pricing expansion, or wedge strategy that grows SOM. Small but winnable beats imaginary billions.

How to use this prompt

When to use it

Use this for investor decks, business cases, and quarterly planning when you need credible TAM/SAM/SOM with clear assumptions.

Before you use the output

  • •Fill in the variables with the facts and constraints you have.
  • •Check the output against your source material and revise any mistakes.
  • •Enable web search where available and check the dates and sources it returns.

Expected output

Market analysis with sizing calculations

Quick Info
Categoryanalysis
Output Length1200-1800 words
Web SearchSupported
Frameworks
TAM/SAM/SOMMarket SegmentationCompetitive Analysis
Related Guides
Try PM Toolkit Calculators

Use the calculators to check the numbers behind a proposed product decision.