home / skills / zircote / sigint / market-sizing
This skill helps you estimate market size using TAM/SAM/SOM methods and guidance on methodology, results, and growth projections.
npx playbooks add skill zircote/sigint --skill market-sizingReview the files below or copy the command above to add this skill to your agents.
---
name: Market Sizing
description: This skill should be used when the user asks to "calculate market size", "TAM SAM SOM analysis", "estimate market opportunity", "market sizing", "total addressable market", "serviceable market", "market potential", or needs guidance on market size estimation methodologies, market opportunity calculations, or growth projections.
version: 0.1.0
---
# Market Sizing (TAM/SAM/SOM)
## Overview
Market sizing quantifies the revenue opportunity in a market. The TAM/SAM/SOM framework provides progressively refined estimates from total market to realistically achievable share.
## Key Definitions
**TAM (Total Addressable Market)**
- Total global market demand for a product/service
- Assumes 100% market share (theoretical maximum)
- Useful for understanding ceiling and investor conversations
**SAM (Serviceable Addressable Market)**
- Portion of TAM targetable with current business model
- Considers geographic, demographic, or segment constraints
- More realistic than TAM
**SOM (Serviceable Obtainable Market)**
- Realistic market share achievable in near term (1-3 years)
- Considers competition, resources, and go-to-market capability
- Most relevant for planning
## Calculation Methodologies
### Top-Down Approach
Start with large market data, narrow down:
1. **Find industry market size** from analyst reports
2. **Apply relevant percentage** for target segment
3. **Adjust for geography** if not global
4. **Factor growth rates** for projections
**Example:**
- Global SaaS market: $200B (TAM)
- HR SaaS segment: 15% → $30B (TAM refined)
- North America: 40% → $12B (SAM)
- Achievable share 2%: $240M (SOM)
**Pros:** Fast, uses existing research
**Cons:** May miss nuances, depends on source quality
### Bottom-Up Approach
Build from unit economics upward:
1. **Identify target customer count**
2. **Estimate price per customer**
3. **Calculate total revenue potential**
**Example:**
- Target customers: 50,000 SMBs
- Average contract value: $5,000/year
- Total: $250M (SOM)
- Expand to all SMBs (500,000): $2.5B (SAM)
- Include enterprise: $10B (TAM)
**Pros:** More defensible, validates assumptions
**Cons:** Slower, requires customer data
### Value Theory Approach
Estimate based on value delivered:
1. **Calculate customer pain point cost**
2. **Estimate value of solution**
3. **Apply capture rate** (typically 10-30% of value)
**Example:**
- Customer loses $100K/year to problem
- Solution captures 20%: $20K willingness to pay
- 100,000 potential customers: $2B market
## Trend Indicators
Apply three-valued logic to growth projections:
- **INC (Increasing)**: Market growing >10% annually
- **CONST (Constant)**: Market growth 0-10% annually
- **DEC (Decreasing)**: Market contracting
Document evidence for each indicator:
- INC: "Analyst projects 25% CAGR through 2027"
- CONST: "Mature market with 3% annual growth"
- DEC: "Legacy technology being displaced"
## Data Sources
**Primary Sources (Most Reliable):**
- Industry analyst reports (Gartner, Forrester, IDC)
- Government statistics (Census, BLS)
- Trade association data
- Company financials (public companies)
**Secondary Sources:**
- Market research firms (Statista, IBISWorld)
- News articles citing research
- Industry publications
- Competitor disclosures
**Estimation Sources (Use Carefully):**
- LinkedIn job counts × average salary
- Google Trends relative volume
- App store downloads × price
- Website traffic estimates
## Output Structure
```markdown
## Market Sizing Summary
| Metric | Value | Growth | Trend |
|--------|-------|--------|-------|
| TAM | $X.XB | X% CAGR | INC/DEC/CONST |
| SAM | $X.XB | X% CAGR | INC/DEC/CONST |
| SOM | $XXM | - | - |
## Methodology
[Top-down / Bottom-up / Hybrid]
## TAM Calculation
[Step-by-step with sources]
## SAM Derivation
[How SAM was narrowed from TAM]
## SOM Justification
[Realistic share rationale]
## Key Assumptions
1. [Assumption and sensitivity]
2. [Assumption and sensitivity]
## Data Sources
- [Source 1]: [What it provided]
- [Source 2]: [What it provided]
## Confidence Level
[High/Medium/Low with explanation]
```
## Common Pitfalls
- **Double-counting**: Ensure segments don't overlap
- **Currency confusion**: Specify USD/EUR and year
- **Stale data**: Note data age, adjust for growth
- **Over-optimism**: SOM should be conservative
- **Missing context**: Include methodology for credibility
## Scenario Modeling
For uncertain markets, provide range:
| Scenario | TAM | SAM | SOM |
|----------|-----|-----|-----|
| Bear | $5B | $500M | $10M |
| Base | $8B | $800M | $25M |
| Bull | $12B | $1.2B | $50M |
Use transitional scenario graphs to show how market might evolve between scenarios.
## Additional Resources
For detailed templates and examples, see:
- `references/sizing-methodologies.md` - Complete methodology guide
- `references/data-sources.md` - Source reliability ratings
- `examples/market-sizing-report.md` - Sample sizing report
This skill helps quantify market opportunity using TAM, SAM, and SOM frameworks and offers practical methodologies for defensible estimates. It guides users through top-down, bottom-up, and value-based calculations and highlights data sources, trend indicators, and common pitfalls. Use it to produce repeatable, transparent market sizing outputs for planning or investor conversations.
The skill inspects the requested scope (product, segment, geography, timeframe) and recommends an approach: top-down from industry reports, bottom-up from unit economics, or value-theory from customer impact. It walks through stepwise calculations, documents assumptions and sources, and classifies growth trends as INC/CONST/DEC. It also suggests scenario ranges, confidence levels, and sensitivity notes to make estimates actionable.
Which approach is most reliable?
Bottom-up is most defensible when you have customer counts and pricing. Top-down is faster for scoping. Value-theory is useful when pricing ties to measurable customer pain.
How do I pick SOM?
Base SOM on achievable penetration given competitors, sales capacity, channel reach, and timeline; be conservative and justify with specific assumptions.