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H for Market Hypothesis

31.07.2026

You have spent years developing a technology that genuinely works. But is the market need strong enough for customers to act? A market hypothesis answers this question: it defines who has the problem, how they address it today, why they would change their behavior and what outcome they would be willing to pay for. 

In science, a hypothesis is a statement that can be tested and falsified. Academic commercialization should work in the same way. A market hypothesis is a set of explicit, testable assumptions about the customer segment, the problem, the current alternative, the value created by the solution, willingness to pay, and the conditions of purchase and deployment. It helps identify for whom the problem is sufficiently urgent and costly that the customer will commit time, budget and resources to changing the current way of working. 
Researchers often formulate a market hypothesis as a belief they try to defend: “the market is large”, “everyone needs this” or “the customer will buy because the technology is better”. This is a mistake. An investor will not ask whether you believe in the market. They will ask what evidence you have, which assumptions you have already tested and what you did when reality differed from your expectations. A good market hypothesis is therefore not designed to sound convincing, but to identify exactly what must be tested and what evidence would require you to change direction. 

What constitutes a market hypothesis? 

  • Who exactly has the problem? Not “the industry” or “the market”, but a specific customer segment. The segment must be identifiable, countable and reachable, and should define the type of organization, the relevant role and the situation in which the problem occurs. The same problem may have a different meaning for different types of organizations or decision-makers, even within the same sector.  
  • What problem or need is sufficiently important to address? The hypothesis must identify a genuine pain point or need that the customer experiences today, acute enough to justify change and expenditure. A poorly defined pain (“they would like something to work better”) is not a hypothesis; it is a wish. The problem should be described in terms of its frequency, severity and consequences for the customer.  
  • How does the customer address the problem today? Every new technology competes with the status quo: an existing product, a manual process, an outsourced service, an internally developed solution or the decision to do nothing. The hypothesis must explain how the customer currently manages the problem and why the existing alternative may no longer be sufficient.
  • Why would the customer act now? Better technical parameters do not create urgency by themselves. The trigger may be rising costs, operational risk, a new regulation, resource scarcity, pressure from an end customer or failure of the current solution. Without a clear trigger, the customer can postpone the purchasing decision indefinitely.
  • How does the technology create measurable value? The hypothesis should explain how the technology removes the customer’s pain or improves the customer’s situation and should link this change to a specific, measurable outcome. The customer buys cost reduction, time savings, increased revenue, improved quality, risk avoidance or regulatory compliance, not technical parameters in isolation. The expected outcome must matter to the customer segment and be measurable rather than merely technically impressive.
  • Who uses, who pays and who decides, and is the customer willing and able to pay? In B2B and public sector settings, these are often different people or organizational units. The user may recognize the benefit but have no budget; the payer may have a budget but not experience the problem; and procurement may block a solution that cannot be purchased through an established process. The hypothesis should therefore specify who controls the relevant budget, how much the customer may be willing to pay, which existing budget can fund the purchase, who can approve the purchase and what procurement or deployment conditions must be met.
  • What evidence would falsify the hypothesis? Researchers should define in advance what evidence would require them to change the customer segment, problem definition, value proposition, pricing assumption or purchasing model. If every customer response can be interpreted as confirmation, the hypothesis is not testable. 
Market hypothesis formula: We hypothesize that [customer segment] experiences [problem] in [specific situation], currently relies on [alternative], and will pay [price or payment model] for [measurable outcome] when [trigger or reason to act now] is present, provided that [purchase and deployment conditions] are met. We will treat [defined evidence threshold] as support for the hypothesis and [falsification criterion] as a reason to reject or revise it. 

Five areas to test in a market hypothesis  

The table below organizes the minimum set of assumptions needed to formulate and test a market hypothesis. It is not a market description; it is a learning plan that identifies what you do not yet know and how you intend to test it. 

Area  What to assume and how to test it 
Customer segment 
  • Who has the problem and in what context? Specify the type of organization, the user role, the point in the process and the event at which the problem becomes visible. 
  • Why this segment? Assess the frequency and severity of the problem, access to potential customers and the feasibility of testing at the current TRL. 
Problem and status quo 
  • How is the problem solved today? Identify the product, process, supplier, internal solution or inaction with which the technology actually competes. 
  • What is the cost of the current alternative? Measure time, money, risk, lost revenue, regulatory non-compliance or other consequences of maintaining the status quo. 
Value and payment 
  • What outcome has value for the customer? Translate technical parameters into a measurable business or operational effect in the language of the specific segment. 
  • Will the customer pay, and how? Test the available budget, payment model, cost of alternatives and the person or unit that bears the economic consequences of the problem. 
Purchase and deployment 
  • Who uses, pays, decides and approves? Map the roles in the buying process, including procurement, IT, quality, regulatory functions and management. 
  • What must be true for deployment to be possible? Include integration, certification, data, infrastructure, training, liability and switching costs. 
Evidence and falsification 
  • What customer behavior will count as evidence? A conversation is a starting point. Stronger evidence includes access to data, time from the customer’s team, an agreement to test, budget, a paid pilot or an order. 
  • What result would falsify the hypothesis? Set the criterion in advance: no urgency, no budget owner, excessive switching costs or no measurable advantage over the status quo. 

A positive customer opinion does not yet confirm market demand. Stronger evidence involves a customer commitment of time, data, reputation or money. 

Market hypothesis and the technology TRL level

  • TRL 2-3: formulate the problem hypothesis. Desk research, segment mapping and initial conversations with potential users. The goal is to understand the problem, the status quo and the customer’s language, not to present the technology.
  • TRL 4-5: validate the problem and value. A demonstrator or early prototype makes it possible to test whether the promised outcome matters, what evidence is credible, and which technical and organizational conditions block deployment.
  • TRL 6 and above: validate purchase and repeatability. Paid pilots, price testing and validation of procurement and deployment readiness provide the basis for developing a GTM strategy (see entry “G”). Every new segment, however, requires the assumptions to be tested again.  

The market hypothesis should be tested in parallel with an assessment of whether the IP can be protected and commercialized (see entry “D” – Due Diligence). A segment may be attractive, but the chosen market entry model must be feasible under the current structure of IP rights and obligations. 

The key principle 

A market hypothesis is not a proposition to defend but an assumption to try to falsify. Until you define the segment, the problem, the current alternative, the payer, the measurable value, the purchasing conditions and the falsification criterion, you do not have a market hypothesis but a belief. The market hypothesis is a working tool: it changes with the evidence, not with the need to preserve the original narrative.