Market Sizing — TAM/SAM/SOM Calculator
Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined.
About this skill
This AI agent skill is designed to generate comprehensive and defensible market sizing for various business contexts, including pitch decks, business cases, and strategic planning. It systematically calculates the Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) by employing a robust combination of top-down and bottom-up methodologies. Users simply provide their product/service and target customer, and the agent will synthesize relevant data from government sources, industry reports, and public filings to construct a detailed market analysis. The output includes specific monetary figures for each market segment, alongside a clear breakdown of the calculations, key assumptions, and potential risks, ensuring transparency and credibility. This skill is invaluable for entrepreneurs, product managers, strategists, and analysts who need to quickly ascertain market potential, validate business ideas, or prepare for investor presentations without deep diving into manual data aggregation and complex modeling. It streamlines the market research process, providing a solid foundation for strategic decisions.
Best use case
The primary use case is to rapidly generate a credible market sizing report for a new or existing product/service. This benefits founders seeking investment, product managers evaluating new features, strategists planning market entry, and business analysts needing data-driven insights to support decision-making, providing a clear picture of market potential and achievable revenue.
Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined.
A structured report detailing TAM, SAM, and SOM values, including calculation methodologies, key assumptions, sources, and identified risks.
Practical example
Example input
Size the market for AI-powered contract review for mid-market law firms in the US
Example output
## Market Sizing: AI-powered contract review for mid-market law firms in the US ### TAM — $15.5B Total legal tech market, then filtered for contract review. (Source: Gartner 2023 Legal Tech Report) ### SAM — $800M Filtered by US, mid-market law firms (50-200 lawyers), 25% AI adoption rate. ### SOM (12-month) — $35M Bottom-up: 5,000 reachable firms × $7,000 ACV × 10% conversion. ### Key Assumptions - Average ACV for AI contract review is $7,000/year. (Source: Industry average estimates) - 25% of mid-market law firms will adopt AI contract review within 3 years. (Source: Deloitte AI in Legal Survey) ### Risks to Sizing - Slower-than-expected AI adoption due to regulatory concerns. - Increased competition driving down ACV.
When to use this skill
- Developing pitch decks and investor presentations.
- Formulating go-to-market strategies for new products.
- Conducting feasibility analysis for new business ideas.
- Preparing for board presentations or internal business reviews.
When not to use this skill
- When detailed financial projections beyond market size are required.
- For deep competitive analysis beyond market share estimation.
- When the primary need is for operational planning or execution of a GTM strategy.
- If you need real-time market data that changes by the minute for dynamic trading decisions.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-market-sizing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Market Sizing — TAM/SAM/SOM Calculator Compares
| Feature / Agent | Market Sizing — TAM/SAM/SOM Calculator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Market Sizing — TAM/SAM/SOM Calculator Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined. ## What You Get - **TAM** (Total Addressable Market) — entire market if you had 100% share - **SAM** (Serviceable Addressable Market) — segment you can actually reach - **SOM** (Serviceable Obtainable Market) — realistic capture in 12-36 months - **Bottom-up validation** — unit economics × reachable customers - **Source citations** — government data, industry reports, public filings ## How to Use Tell me your product/service and target customer. I'll build the full sizing. **Example prompts:** - "Size the market for AI-powered contract review for mid-market law firms in the US" - "TAM/SAM/SOM for a SaaS helpdesk targeting e-commerce brands doing $1M-$50M revenue" - "Market size for automated bookkeeping for UK SMBs" ## Methodology ### Top-Down 1. Start with total industry revenue (cite source) 2. Filter by geography, segment, company size 3. Apply technology adoption rates 4. Result = SAM ### Bottom-Up 1. Count reachable customers (databases, directories, LinkedIn) 2. Multiply by realistic ACV (annual contract value) 3. Apply conversion rates at each funnel stage 4. Result = SOM ### Triangulation Compare top-down and bottom-up. If they're within 2-3x of each other, the sizing holds. If wildly different, investigate assumptions. ## Output Format ``` ## Market Sizing: [Product/Service] ### TAM — $X.XB [Total market calculation with sources] ### SAM — $XXM [Filtered by geography + segment + tech adoption] ### SOM (12-month) — $X.XM [Bottom-up: customers × ACV × conversion] ### Key Assumptions - [Assumption 1 + source] - [Assumption 2 + source] ### Risks to Sizing - [What could make this smaller] - [What could make this bigger] ``` ## When to Use This - Pitch decks and investor presentations - Go-to-market strategy planning - New product feasibility analysis - Board presentations and business cases - Competitive positioning ## Pro Tip Most founders oversize their TAM and undersize their SOM. Investors see through inflated numbers instantly. A tight, well-sourced $50M SAM beats a hand-wavy $10B TAM every time. --- Need the full business context pack for your industry? **[Browse AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/)** — pre-built agent configs for Fintech, Healthcare, Legal, SaaS, and 6 more verticals ($47 each). Calculate what AI automation could save your business: **[AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)**
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