Market Mapping: How to Build a Map That Informs Decisions

Market mapping is the practice of identifying the players in a market, sorting them by the characteristics that matter, and plotting them so that clusters, gaps and threats become visible. Bridgespan describes it as a way to find all the key players in a field, sector or geography and classify them by traits such as type or revenue. Done well, it tells you where to compete, whom to partner with, whom to acquire and what could disrupt you. Done badly, it is a flattering slide that confirms what the team already believed.
This guide walks through a method you can run in a week: how to draw the market boundary, choose axes, collect evidence, read the result and keep it current.
TL;DR
- A market map organizes competitors, segments and adjacent players so decision-makers can see positioning, gaps and shifts in one view.
- Define the market around the customer’s problem, not around your own product category, or you will miss the real threats.
- Pick two axes that are not correlated with each other. If both move together, the map shows nothing new.
- A static map goes stale. Rebuild it on a schedule and track movement, not just position.
- The quality of the map is the quality of the company data underneath it: coverage, ownership, financials and signals.
Table of Contents
- What market mapping is, and what it is not
- Step 1: Draw the market boundary honestly
- Step 2: List every relevant player
- Step 3: Choose two axes that actually separate players
- Step 4: Gather evidence, not impressions
- Step 5: Segment the market before you map the buyers
- Step 6: Read the map for gaps, clusters and threats
- Step 7: Keep the map alive
- Who uses market maps, and for what
- Mistakes that ruin a market map
- A worked example: mapping a logistics technology market
- Where our perspective comes from
- Build your map on Milda
- FAQ
- Sources
What market mapping is, and what it is not
A market map is a structured picture of an industry. Depending on the job, it may be a simple two-axis scatter of competitors, a grid of vendors grouped by category, or a layered diagram of a value chain from suppliers to end customers.
It differs from classic market research. Per Semrush’s competitive landscape guide, market research tends to look at customer sentiment and behavior, while competitive mapping looks at the relationships and trade-offs between businesses. Surveys tell you what buyers say they want. A map tells you who is positioned to serve them, who is crowded, and who is quietly moving into your space.
The same technique goes by several names. “Market landscape analysis”, “industry mapping” and “competitive landscape” all describe variations on the same exercise. The label matters less than the question behind it. Some common versions:
| Type of map | Core question | Typical user |
|---|---|---|
| Competitive positioning map | Where do rivals sit relative to us? | Strategy, product marketing |
| Strategic group map | Which firms follow similar strategies, and what stops them from moving? | Corporate strategy |
| Value chain map | Who controls each step, and where are the chokepoints? | Government, supply chain, investors |
| Ecosystem or partner map | Who could we work with or acquire? | Corporate development, innovation teams |
| Account or territory map | Which companies and contacts should sales approach first? | Sales and go-to-market |
The method below applies to all of them. Only the unit of analysis changes.
Step 1: Draw the market boundary honestly
The most common failure is a boundary drawn to flatter the sponsor. A narrow definition makes your company look dominant and makes the map comfortable to present. Peony’s guide to competitive landscape analysis warns about exactly this and recommends defining the market around the customer’s problem. Its example: project management software competes with spreadsheets and email, not only with other software.
A practical test for your boundary:
- Write the customer problem in one sentence, without naming your product.
- List every way a buyer solves that problem today, including doing nothing, building in-house, hiring a consultant or using a general tool.
- Include adjacent players who could reach the problem in two or three years.
- Ask someone outside your team to challenge what you left out.
If your map contains only companies that look like you, the boundary is too narrow.
Step 2: List every relevant player
Once the boundary is set, build the long list before you judge anyone. Sources typically include:
- Industry classification codes and directories, which give a baseline but lag behind new entrants.
- Trade press, conference exhibitor lists and analyst reports, which show who is visible.
- Patent filings, publications and trade data, which show who is building or shipping something, even when they are not marketing it.
- Company databases, which let you filter by size, geography, ownership, growth and activity.
This is where many maps quietly fail. A list built from a Google search and a few analyst reports captures the loud companies. Private firms, regional specialists and foreign entrants stay invisible. We built Milda around that problem: the platform covers over 420 million companies, and the point of that breadth is that a map built on it starts from the whole field instead of the visible part.
Step 3: Choose two axes that actually separate players
The axes decide whether the map teaches you anything. A strategic group map plots competitors along two dimensions that reveal how they differ structurally.
One rule from a strategic group mapping guide on GitHub is worth repeating: avoid correlated variables. Price and quality often rise together in a given industry. If your two axes are highly correlated, every company lands on a diagonal line and the map provides no insight. Look instead for dimensions that distinguish strategic groups, such as distribution channel or customer service model. These often act as stronger barriers to movement than price.
Good axis candidates:
- Breadth of offering versus depth in one niche
- Direct sales versus self-serve or channel distribution
- Geographic footprint (local, regional, global)
- Degree of vertical specialization
- Owned technology versus assembled from third-party components
- Company age or funding stage
Bad axis candidates: price versus quality, size versus revenue, or any pair where you can predict one from the other.
A quick check: plot five companies you know well. If the placement surprises nobody, change an axis.
Step 4: Gather evidence, not impressions
Placement should rest on facts you can cite. Peony’s advice is to use primary sources rather than marketing claims. For each player, record the same fields so the comparison is fair:
- Legal name, headquarters, and ownership structure
- Revenue or employee range, and financial health where available
- Products, target customers and channels
- Technology footprint, including patents and publications
- Recent events: funding, leadership changes, acquisitions, expansions, new locations
- Risk indicators such as financial stress or supplier concentration
Ownership is often the field teams skip and later regret. Two competitors that look independent may share a parent, and a startup that looks small may be backed by a strategic investor. If you are using the map for deal sourcing, ownership and shareholder data change which names are even actionable.
For teams building account lists, our piece on why firmographic data is only the first filter covers why size and industry alone do not tell you who is worth contacting.
Step 5: Segment the market before you map the buyers
When the map is about demand rather than competitors, segmentation comes first. Briefly’s segmentation guide lists the four standard types: demographic, psychographic, behavioral and geographic. It notes that stronger strategies combine at least two or three of them. In B2B the equivalents are firmographic attributes (industry, size, location), behavioral signals (hiring, funding, product launches) and needs-based groupings (the problem each segment is trying to solve).
A useful B2B map often crosses a firmographic lens with a behavioral one. For example, mid-sized logistics firms that have opened new facilities in the past year are a different target from mid-sized logistics firms that have not. The first group has an active need. The second may not.
Step 6: Read the map for gaps, clusters and threats
With players plotted, look for four things:
- Crowded clusters. Many players with similar strategies means price pressure and thin differentiation.
- Empty space. A gap may be an opportunity or a graveyard. Check whether anyone tried and left.
- Isolated players. A company far from every cluster may be a disruptor, an acquisition target or a partner.
- Movers. Firms with recent expansion, new patents or new ownership are likely changing position.
Annotate each finding with the evidence behind it and a recommended action: enter, avoid, partner, acquire, monitor. A map without actions is a poster.
Step 7: Keep the map alive
A static map is a snapshot, and snapshots mislead in fast-moving industries. Research in Marketing Science makes this point directly: competitive positions change, and maps that capture only one moment miss the trajectory. The authors propose a dynamic framework that tracks how firms’ positions evolve over multiple periods, which gives a forward-looking view of how market structure may shift.
You do not need an academic model to apply the idea. Three habits go a long way:
- Date every map and keep the old versions, so you can see who moved.
- Set a refresh cadence: quarterly for fast markets, twice a year for slower ones.
- Subscribe to event-driven signals (funding, ownership changes, new facilities, leadership moves) so the map updates when something happens, not only when someone remembers.
The same logic applies when mapping talent. Recruiters use market mapping for executive talent to track which companies and leaders are moving in a fast-changing technology sector, which is the same trajectory thinking applied to people instead of firms.
Who uses market maps, and for what
Corporate strategy and business development. To find white space, benchmark against rivals and decide where to invest. Our market research use case shows how teams structure this work.
Investors and corporate development. To source targets in a sector, check ownership and screen for risk before approaching. We cover the signals that matter in M&A signals: what to watch and how to act on it.
Sales and go-to-market teams. To turn a market into a ranked account list with the right contacts. See Sales and GTM research.
Innovation teams. To scout startups, research groups and partners across a technology area. See open innovation.
Procurement and risk teams. To map suppliers and spot concentration. Our guide on supplier risk monitoring and NIST guidance walks through a 90-day approach.
Government and competitiveness officials. Public bodies map value chains to find regulatory barriers, chokepoints and dependency gaps, then target industrial policy and investment promotion accordingly. The OECD’s methodologies for market studies is a reference on how competition authorities approach market analysis. Our government page describes how national and sector teams use company data for this.
Mistakes that ruin a market map
- Flattering the boundary. Covered above: define the market around the customer’s problem.
- Mapping only the visible companies. If your list comes from press coverage, you have mapped marketing budgets, not the market.
- Correlated axes. Price versus quality is the classic trap.
- Opinion as evidence. Every placement should link to a source: a filing, a product page, a patent, a dated event.
- No owner and no refresh date. An orphaned map is outdated within a quarter.
- Mapping without a decision. Decide first what the map will change: a market entry, a target list, a partnership shortlist, a policy.
A worked example: mapping a logistics technology market
Imagine a corporate development team asked to find acquisition candidates in freight visibility software.
Boundary. The customer problem is that shippers cannot see where goods are. Solutions include carrier portals, spreadsheets, third-party visibility platforms and in-house builds. All go on the long list.
Players. The team pulls every company with relevant industry codes, then adds firms found through patents and trade data that do not describe themselves with the standard terms.
Axes. They reject company size versus funding, since the two track each other. They choose “owns carrier integrations versus aggregates them” and “serves one region versus global”.
Evidence. For each firm they record ownership, headcount trend, recent facility or office openings, and financial indicators.
Reading. A cluster of global aggregators is crowded. A group of regional firms that own their integrations is sparse and growing. Two of those have a shared investor, which affects who can be approached independently.

Action. A shortlist of four targets, each with a named decision-maker and a trigger event to monitor.
This takes a week when the data is in one place. It takes a month when the team stitches together directories, spreadsheets and ad hoc searches.
Where our perspective comes from
Most market maps we see fail before the drawing starts. Teams spend days collecting names from a handful of sources, then draw a tidy chart around whatever they found. The chart looks rigorous and rests on a partial list.
We built Milda on the opposite assumption: coverage comes first. If the underlying data includes hundreds of millions of companies, with ownership, financials, patents, trade data, risk indicators and growth signals attached, the analyst’s time goes into judgment instead of collection. We also hold that data has to be traceable. A placement you cannot source is an opinion, and decision-makers deserve better than that.
The second thing we believe is that a map is a process, not a deliverable. Markets move. The useful question is not “what does the landscape look like?” but “what changed since last quarter, and who moved?” That is why we pair company records with event-driven signals, so a map can be refreshed by what happens in the market.
— Vilius Stanciauskas, Founder and CEO
Build your map on Milda
If you want to run this method on a full company dataset, Milda gives you firmographics, ownership, shareholders, financials, risk assessments, trade data, patents, publications and growth signals for over 420 million companies, plus 50 million verified contacts for outreach. You can work in the web app, the browser extension or through the data platform and API. Plans are built around team size and data usage, and you can see the product lines on the pricing page. Browse the case studies to see how teams have put the data to work.
FAQ
What is market mapping?
Market mapping is the process of identifying the companies in a market and organizing them visually by characteristics that matter, such as strategy, size, geography or technology. Its purpose is to reveal competitive positioning, gaps and shifts so decision-makers can act on them. It supports strategy, deal sourcing, partnership scouting and sales planning.
How is market mapping different from market research?
Market research usually studies customers: their attitudes, behavior and needs. Market mapping studies the businesses serving those customers and how they relate to each other. The two work best together, with research explaining demand and the map showing who is positioned to meet it.
How many players should a market map include?
Start with every relevant player you can find, then narrow for presentation. A long list guards against blind spots, while the final visual may show only the 15 to 30 companies that drive your decision. Keep the full list as an appendix so others can check your boundary.
How often should I update a market map?
It depends on how fast the industry moves. Quarterly updates suit technology and other fast markets, and twice a year can be enough for stable ones. Research on dynamic mapping shows that tracking how positions change over time gives a better forward view than a single snapshot.
Which axes work best on a strategic group map?
Choose two dimensions that separate strategic groups and are not correlated, such as distribution model, degree of specialization or geographic scope. Avoid pairs like price and quality, which tend to move together and produce a diagonal line with no insight.
Sources
- Market Mapping and Landscape Analysis, Bridgespan
- Competitive landscape analysis, Semrush
- How to Do a Competitive Landscape Analysis, Peony
- Map strategic groups skill guide, GitHub
- Market Segmentation: Definition, Types and Examples, Briefly
- Mapping Market Structure Evolution, Marketing Science
- Methodologies for Market Studies, OECD