Market Mapping
Build a living map of segments, players, adjacencies, and whitespace so the firm sees the whole board.
Market mapping is the disciplined practice of building and maintaining a comprehensive view of the competitive landscape. It goes beyond a static slide — it is a living artifact that tracks segments, key players, emerging entrants, adjacency threats, and open whitespace. Done well, it becomes the backbone of sourcing conversations, IC prep, and thematic updates. This module covers how to use AI to accelerate the build, keep the map current, and integrate it into the firm's regular cadence.
Start from the taxonomy, not the tool
Every market map gets sharper or sloppier depending on how explicitly the firm has defined its investable sub-sectors. A map drawn against a fuzzy "AI infrastructure" bucket will be useless; a map drawn against the seven specific sub-sectors the firm actually writes checks in will be a sourcing weapon. As with the rest of the thematic stack, the spine is the thesis taxonomy — see Sourcing → Enrich the Pipeline → Thesis Taxonomy. If that work has not been done, do it before opening a single vendor tool. The taxonomy is what tells you when a map is "done."
Your CRM is the market map you forget you have
Before paying anyone for a market map, look at the one you already own. A CRM with the taxonomy wired into it — every company tagged to a theme and sub-sector — is, by definition, a living market map. Filter to the theme, slice by stage, group by sub-sector, and you have the firm's view of the segment in thirty seconds. The mechanics of building those saved views live in Sourcing → Filtering & Sorting. How well you can do market mapping is, in large part, a function of how well your CRM is configured and how disciplined the team is about classifying records as they land.
The vendor landscape — a market map of market-mapping tools
There is a funny recursion in this module: the market for tools that help you do market mapping is itself a market that deserves to be mapped. Below is our cut at the landscape, grouped by what each tool actually does. We are not ranking them — fit depends on firm strategy, stage focus, geography, and what is already in your stack. Use this as a menu, then read the linked vendor profiles for the deeper diligence.
Private-market deal data — who exists in a sector
The workhorses for assembling a list of companies in a space. Coverage, classification quality, and freshness all vary; most firms run two in parallel and reconcile.
- PitchBook
Deep private-market financings, cap tables, and investor records. The default for institutional coverage; weaker on early-stage signal.
- CB Insights
Funding data plus editorialized market maps and industry briefs. Strong for top-down framings, lighter on long-tail companies.
- Crunchbase
Broad, crowd-sourced funding database with an open API. Best as a starting net rather than the source of truth.
- Dealroom
European-strong private-company database with built-in market-map and ecosystem views.
- Grata
AI-classified private-company search across the long tail of websites — strong for finding companies that have raised little or nothing.
- Harmonic
Early-stage company graph with founder signal and stealth coverage. Built for pre-seed and seed mapping.
- Specter
Growth-signal database — web traffic, hiring, app metrics — layered onto a company list for momentum-based mapping.
- Cyndx
AI-driven similar-company and adjacency search; useful when you have one company and want the rest of the cluster.
Industry intelligence & primary research — what's happening in the sector
Once you have the company list, these tools fill in narrative — analyst reports, expert transcripts, filings, and sector primers. Many sit behind a portal, so the discipline from Module 01 applies: export the report into the theme folder so your RAG layer can reach it.
- AlphaSense
Searchable corpus of broker research, expert call transcripts, and filings. The closest thing to a Bloomberg for private-market thematic work.
- Contrary Research
Free, well-structured company and market reports. A good starting point on any new theme.
- BamSEC
Fast SEC filing search and excerpting. The cheap, focused alternative when you only need filings.
AI research agents — generate the first draft of the map
A newer category: tools that ingest your prompt (and increasingly your own files) and produce a synthesized market scan. Treat their output as a starting point, not a deliverable — and quarantine it per Module 03 so it does not contaminate primary work.
- Hebbia
AI workspace that runs structured queries across large document sets. Strong when you have a corpus and want repeatable extractions across it.
- Auquan
Agentic research workflows aimed at investment-grade outputs — diligence reports, sector scans, monitoring.
- Eilla AI
Workflow-style AI analyst purpose-built for VC and PE research tasks, including landscape builds.
- Blueflame AI
AI layer over the firm's own data room — useful once you have the corpus from Module 01 organized.
- Elicit
Literature-style search agent — strongest for academic and technical themes where the primary sources are papers.
What comes next
A market map is only as good as what the firm does with it. The next module — Module 03 · Saving AI Generated Outputs — covers how to give the maps and adjacent AI work durable homes so they compound instead of evaporating. Then Module 05 · Weaponizing the Pipeline turns the map into outbound: the right companies surfaced to the right partner at the right moment.