Market mapping is one of the most valuable — and time-consuming — activities in PE and VC. Here's what it actually involves, when to use it, and how to do it efficiently.
Market mapping is one of the most frequently requested and least well-defined activities in private equity. Associates get asked to "map the market" for a sector and often produce something between a competitor list and a landscape slide. Done well, it's one of the most valuable inputs to an investment thesis. Done poorly, it's a list of companies with LinkedIn follower counts.
Here's what market mapping actually means, when it's useful, and how to do it properly.
A market map is a structured view of the companies operating in a defined market or sector. The goal is to understand the full competitive landscape — who exists, how they're differentiated, where they're clustered, and where the white space is.
In practice, a good market map answers:
The difference between a market map and a competitor list is that a competitor list captures the obvious players. A market map captures the full ecosystem, including companies that describe themselves differently, operate in adjacent niches, or are geographically dispersed.
Thesis development. Before committing to a sector, firms use market maps to understand what the landscape looks like — how many players exist, how consolidated or fragmented the market is, what the funding trajectory has been, and whether the investment opportunity they're seeing is real.
Pre-investment diligence. Once a specific company is in the pipeline, a market map helps validate its competitive positioning. Does the company's differentiation story hold up against a complete view of the market? Are there competitors they haven't mentioned?
Add-on identification. For PE firms building platform companies in fragmented markets, market mapping identifies the acquisition targets. The map becomes a pipeline of potential add-ons ranked by strategic fit and accessibility.
Ongoing sector monitoring. Investment theses play out over years. A market map built at the time of investment becomes a foundation for tracking how the landscape evolves — new entrants, consolidation, technology shifts, geographic expansion.
The standard market mapping process goes something like this: an analyst searches PitchBook and Crunchbase for companies in the target sector, supplements with Google searches, reviews trade publications, asks the target company's management team who they compete with, and compiles a spreadsheet.
This process has predictable gaps:
Keyword dependency. You only find companies that use the language you searched for. A company operating in the same space with different terminology doesn't show up. In fragmented markets with inconsistent nomenclature, this is a significant blind spot.
Database coverage limitations. PitchBook has strong coverage of venture-backed companies but misses bootstrapped businesses, international players, and companies below a certain revenue threshold. SourceScrub covers the lower middle market but misses venture-backed companies. No single database covers everything.
Bias toward the obvious. Starting with the target company's own competitive framing introduces selection bias. Management teams know their direct competitors but often miss adjacent players, international entrants, and companies pivoting into their space.
Time cost. A thorough market map done manually takes days of analyst time. This limits how often they get done and how comprehensive they are when they do.
Start with multiple search anchors, not just one. Rather than starting from a single search query, use several different angles to enter the market: a known company in the space, a description of the end customer, a description of the technology, a description of the use case. Each angle surfaces different companies.
Use semantic search rather than keywords. Semantic search finds companies by meaning rather than terminology. A semantic query for "predictive maintenance software for industrial equipment" returns companies that describe themselves as "machine health analytics for manufacturing" or "condition monitoring for factory floors" — the same space, different words. This is where most manual market maps have their biggest gaps.
Segment as you go. Don't just build a flat list. As companies appear, categorize them by customer type, geography, business model, and stage. The structure is what makes a market map useful for investment decision-making rather than just a long spreadsheet.
Enrich efficiently. Once you have a list of 40-50 companies, you need enough information about each to understand their positioning. Rather than researching each one manually, AI enrichment tools can answer custom questions at scale — revenue model, customer type, key investors, recent strategic moves — across the full list at once with source citations.
Build in a monitoring layer. A market map is only useful if it stays current. Set up ongoing monitoring for the sector so new entrants, funding rounds, and strategic pivots surface automatically rather than requiring periodic manual updates.
Radar is built around this workflow. Semantic search finds the companies that keyword searches miss. The similar company feature maps competitive adjacencies quickly. AI enrichment columns answer custom questions about every company in the landscape at once. And the monitoring layer keeps the map current without manual effort.
A well-executed market map gives a PE or VC firm:
The firms that invest in proper market mapping early in a thesis development process tend to make better decisions and source better deals. It's not the most glamorous work, but it's where a lot of the real edge in private markets comes from.
Radar makes market mapping faster and more complete. Try it on a sector you're actively tracking or book a demo.