Market Sizing for Strategic Context — Helm
Purpose: Use this file when Helm needs to incorporate market size data into strategic simulation, market entry evaluation, portfolio allocation, or growth planning.
Contents
- Market sizing in strategic context
- Consumption from Compete
- Strategic application of TAM/SAM/SOM
- Market entry decision framework
- Portfolio sizing
- Templates
Market Sizing in Strategic Context
Helm's Role vs Compete's Role
| Responsibility | Owner | Description |
|---|---|---|
| Market size estimation | Compete | Primary research, calculation, cross-verification |
| Strategic interpretation | Helm | Using market size for decisions, simulations, forecasts |
Helm does not estimate market size from scratch. Helm consumes market sizing data from Compete (via COMPETE_TO_HELM handoff) or from provided context, and applies it to strategic frameworks.
When Helm Needs Market Sizing
| Strategic question | How market sizing helps |
|---|---|
| Should we enter this market? | SAM validates sufficient opportunity |
| How fast can we grow? | SOM vs SAM ratio reveals headroom |
| Should we invest or launch? | TAM growth rate drives BCG quadrant |
| Which segment to prioritize? | Segment-level SAM comparison |
| Is acquisition justified? | Target's SAM + our SAM = combined opportunity |
| When do we hit diminishing returns? | SOM approaching SAM ceiling signals pivot need |
Strategic Application of TAM/SAM/SOM
Market Headroom Analysis
## Market Headroom: [Product/Segment]
### Current Position
- Current revenue: $[X]
- Current market share (of SAM): [X]%
- SOM: $[X] ([X]% of SAM)
- SAM: $[X] ([X]% of TAM)
- TAM: $[X]
### Headroom Assessment
| Metric | Value | Implication |
|---|---|---|
| SOM / SAM ratio | [X]% | [< 10% = early, 10-30% = growing, > 30% = nearing ceiling] |
| SAM / TAM ratio | [X]% | [< 20% = niche, 20-50% = focused, > 50% = broad] |
| TAM CAGR | [X]% | [< 5% = mature, 5-15% = growing, > 15% = high-growth] |
| Years to SAM ceiling | [X] years | [at current growth rate] |
### Strategic Implication
- Growth headroom: [abundant / adequate / limited / exhausted]
- Recommended strategy: [penetrate / expand SAM / expand TAM / diversify]Market Size in Scenario Simulation
Integrate market sizing into Helm's 3-scenario model:
Baseline scenario:
Revenue = SOM × execution factor (0.8-1.0)
Optimistic scenario:
Revenue = SOM × (1 + market expansion factor)
where market expansion = SAM growth + share gain
Pessimistic scenario:
Revenue = SOM × (1 - competitive erosion factor)
where competitive erosion = new entrant impact + churn increaseMarket Entry Decision Framework
Go/No-Go Inputs from Market Sizing
## Market Entry Analysis: [Target Market]
### Market Attractiveness
| Factor | Score (1-5) | Weight | Weighted score |
|---|---|---|---|
| TAM size | | 15% | |
| TAM growth rate | | 20% | |
| SAM accessibility | | 20% | |
| Competitive intensity (inverse) | | 15% | |
| Margin potential | | 15% | |
| Strategic fit | | 15% | |
| **Total** | | 100% | **[X/5]** |
### Entry Threshold Rules
| Score | Decision |
|---|---|
| ≥ 4.0 | Strong go — prioritize entry |
| 3.0-3.9 | Conditional go — validate key assumptions |
| 2.0-2.9 | Weak — needs compelling strategic rationale beyond market size |
| < 2.0 | No go — insufficient opportunity |
### Simulation Integration
- Feed attractiveness score into Helm scenario simulation
- Model entry investment against SOM ramp-up timeline
- Include competitive response scenarios (from Compete wargaming if available)Portfolio Sizing
Multi-Market Portfolio View
## Portfolio Market Sizing
| Product / Segment | TAM | SAM | SOM | Current revenue | Headroom | Priority |
|---|---|---|---|---|---|---|
| [Product A] | $X | $X | $X | $X | [X]% | H/M/L |
| [Product B] | $X | $X | $X | $X | [X]% | H/M/L |
| [Product C] | $X | $X | $X | $X | [X]% | H/M/L |
### BCG Integration
- Stars: [products with high TAM growth + high share]
- Cash Cows: [products with low TAM growth + high share]
- Question Marks: [products with high TAM growth + low share]
- Dogs: [products with low TAM growth + low share]
### Resource Allocation Recommendation
| Product | BCG quadrant | Recommended investment | Market sizing rationale |
|---|---|---|---|
| [Product A] | [quadrant] | [invest/maintain/launch/divest] | [TAM/SAM/SOM justification] |Templates
Compete-to-Helm Market Sizing Handoff
Expected format when receiving market sizing from Compete:
COMPETE_TO_HELM:
market: "[market name]"
tam: "$[X]"
tam_cagr: "[X]%"
sam: "$[X]"
som: "$[X]"
estimation_method: "[top-down / bottom-up / both]"
cross_verification: "[aligned / divergent — details]"
confidence: "[high / medium / low]"
key_assumptions:
- "[assumption 1]"
- "[assumption 2]"
competitive_context:
market_structure: "[monopoly / oligopoly / fragmented]"
top_3_share: "[X]%"
our_position: "[leader / challenger / niche / entrant]"If this handoff data is not available, Helm should request it via HELM_REQUEST_COMPETE or note the gap explicitly in assumptions.
2026 Market-Sizing Norms
The 2026 default for AI and SaaS pitch reviews is bottoms-up validation triangulated with top-down sanity-check — top-down alone is now the #1 red flag in VC pitch reviews (Waveup 2026).
- Bottom-up baseline:
Market Size = ACV × Number of Reachable Customers, where "reachable" is defined by ICP, geography, and channel — not by industry total revenue. - Common misuse to flag (Antler, Visible.vc, Qubit Capital 2026):
- Quoting a customer's total revenue as your TAM (you can capture only the share they spend on solving the job).
- Confusing "industry size" with "addressable software spend on this job."
- Skipping SOM entirely — investors read missing SOM as inability to model customer acquisition.
- Triangulation effect: Carta 2025 found founders who present both top-down and bottom-up close rounds ~40% faster because VCs can stress-test one against the other (Waveup 2026 TAM/SAM/SOM).
AI-Startup Sizing Pitfalls (2026)
| Pitfall | Why it fails | Fix |
|---|---|---|
| "AI for X" TAM = entire X industry IT spend | Ignores that AI is one feature, not the budget owner | Anchor on the replaced budget (specific headcount or workflow), not the industry |
| Counting model API spend as your TAM | That is OpenAI / Anthropic's TAM, not yours | Your TAM is the value you generate above raw API access |
| Per-seat ARR projected on industry-wide headcount | Assumes 100% replacement of seat-based work | Model gradual workflow capture; introduce an attainable-share cap based on adoption-lifecycle stage |
| Carta-bench-driven sizing | Anchor on valuation not market reality; AI seed valuations ran +42% over non-AI Q1 2026, distorting TAM expectations |
Disclose valuation reference separately from market sizing; do not let one inform the other |
Strategic Implication for Helm Scenarios
- For AI-first opportunities, build at least one pessimistic scenario where the underlying model provider absorbs the wrapper feature (see
strategic-anti-patterns.mdSP-12) — this caps SOM at the period before absorption. - For incumbent industries deploying AI as sustaining (per Christensen Institute 2025-2026 framing in
disruption-detection.md), SOM grows but SAM share does not — model the expansion as ARPU lift, not new logos.