Feasibility Studies
Market Feasibility Study
A market feasibility study tests the part of an investment case that most directly drives revenue: will enough customers buy the proposed product or service, at the assumed price, through the proposed channels and within the required timeframe? It turns broad market opportunity into project-specific demand assumptions that can be used—and challenged—in the financial model.
The purpose is not to prove that a market exists. Most projects operate in markets that already exist in some form. The relevant question is whether this project can capture enough economically attractive demand to justify its scale and investment.
Define the market around the decision
A useful market definition needs to be narrower than a headline industry category and wide enough to include the alternatives customers actually consider.
The study should define:
- the customer or buying organisation;
- the need or use case being served;
- the geography in which demand is accessible;
- the product/service category and substitutes;
- the price range relevant to the proposition;
- the channel through which customers can be reached; and
- the time horizon over which the project must build demand.
For a location-led project, the relevant market may be a catchment or district rather than an entire emirate. For a B2B service, the market may be defined by target sectors, company size and decision-maker profile. For an industrial project, demand may be tied to production, imports, downstream capacity or a limited group of buyers.
The market definition should match the revenue logic in the financial model.
Estimate demand from evidence, not one headline number
Market sizing should distinguish between theoretical opportunity and the demand a project can realistically serve.
A disciplined analysis can separate:
Total market context.
The broad economic or category demand relevant to the opportunity.
Addressable market.
The part of that demand compatible with the project’s geography, customer, product, price and channel.
Achievable demand.
The share and volume the project could reasonably capture given competition, capacity, customer acquisition and ramp-up constraints.
The final figure is often the most important and the hardest to support. A project can sit inside a large market but remain infeasible if it requires an unrealistic share, acquisition rate or price to cover its investment.
Understand the customer behind the forecast
Demand should be connected to buying behaviour.
Depending on the market, the study may examine:
- customer segments;
- purchasing triggers;
- frequency and quantity;
- decision criteria;
- willingness or ability to pay;
- switching behaviour;
- procurement cycles;
- decision makers and influencers;
- seasonality; and
- reasons customers choose existing alternatives.
Primary research can be valuable where published data cannot answer the decision. Interviews, surveys, mystery shopping, channel checks or expert conversations should be designed around material assumptions rather than conducted simply to add research volume.
Competition means capacity and economics, not just names
A competitor list is not a feasibility analysis. The study should determine how the existing market is supplied and what that implies for the new project.
Relevant factors can include:
- competitor location or geographic reach;
- capacity or scale;
- product/service mix;
- target customers;
- pricing;
- positioning and value proposition;
- distribution or sales channels;
- utilisation or visible demand signals where evidence exists;
- entry or switching barriers; and
- likely response to new capacity.
Competition can validate demand as well as constrain it. The question is whether there is enough unmet or contestable demand for the project to achieve its required share without relying on unsupported assumptions.
Pricing is both a demand assumption and a financial assumption
A proposed price should be tested against the market rather than inserted into the model as a management preference.
The analysis can consider:
- observed competitor prices;
- differences in proposition or quality;
- customer willingness to pay;
- discounting and contract structures;
- channel margins;
- price sensitivity;
- regulatory or procurement constraints where relevant; and
- the price-volume trade-off.
A premium price can improve margin but reduce the addressable customer base. A low price can accelerate adoption but weaken the ability to recover fixed costs. The market study should identify a supportable pricing range and show how pricing assumptions affect demand.
Test customer acquisition and routes to market
A market can be attractive while the project lacks a practical way to reach it.
The study should consider how customers discover, evaluate and purchase the proposition. Depending on the business model, routes to market may include direct sales, tenders, distributors, brokers, digital acquisition, partnerships, retail locations, referrals or account-based selling.
Important questions include:
- What does it cost or take operationally to acquire a customer?
- How long is the sales cycle?
- Does the channel have sufficient reach?
- Are intermediaries required?
- Is the ramp-up assumed in the financial model consistent with the sales process?
For B2B and regulated markets, the time to convert demand into revenue may be as important as the eventual market size.
Build a defensible market-share assumption
Market share should be an output of the analysis, not a plug used to make the model work.
A credible share assumption considers:
- available demand;
- competitor capacity and strength;
- project capacity;
- proposition differentiation;
- price;
- channel reach;
- customer switching behaviour;
- time to ramp; and
- operational constraints.
The study should show the implied customer count, units, contracts or utilisation behind the percentage. A seemingly modest market share may still require an unrealistic number of customers if the underlying market definition is too broad.
Demand scenarios and sensitivity
Market demand should be modelled as a range of plausible outcomes rather than one forecast.
A base case can reflect the most supportable demand assumptions. A downside case may combine slower acquisition, lower price, weaker utilisation or a more aggressive competitive response. An upside case should also have an evidence-based mechanism, not simply a higher percentage.
Sensitivity analysis can then test the revenue variables most capable of changing project viability:
- customer volume;
- units per customer;
- price;
- utilisation;
- churn or retention;
- sales-cycle length;
- opening/ramp-up timing; and
- market share.
These outputs should feed directly into the financial feasibility model.
Speak with an adviser
Defined mandates on fixed fees, ongoing counsel on retainer, and customised scopes for complex requirements.
Evidence hierarchy
The strongest market study combines sources based on the question being answered.
Evidence may include:
- official statistics and government datasets;
- industry and regulatory data;
- company and competitor disclosures;
- observed prices and locations;
- trade/import/export or capacity data where relevant;
- primary customer research;
- channel or supplier interviews;
- internal sales/operating data; and
- management assumptions clearly labelled as such.
Each material fact should have a source and date. Where evidence is weak, the study should state the uncertainty and test it in scenarios rather than disguising it with precision.
This market-to-model connection is consistent with established feasibility practice: UNIDO treats market research as a core input to project appraisal, integrated with technical and financial analysis rather than prepared as a standalone descriptive chapter.
What the client receives
Depending on the mandate, a market-feasibility package can include:
- executive market decision memo;
- market definition and segmentation;
- demand sizing and forecast logic;
- customer analysis;
- competitor/capacity mapping;
- pricing analysis;
- channel and route-to-market assessment;
- market-share and ramp-up assumptions;
- base, upside and downside demand scenarios;
- market-risk register; and
- explicit revenue assumptions for integration into the financial model.
The most useful deliverable is not the largest market number. It is a transparent bridge from external evidence to the project’s revenue case.
Go, revise or no-go from the market perspective
A go conclusion means there is sufficient evidence that the project can access enough demand at a viable price and ramp-up to support further investment analysis.
A revise conclusion means demand may exist but the target customer, location, price, channel, capacity or proposition needs to change.
A no-go conclusion means the project requires demand, price or share assumptions that cannot be supported realistically.
A market conclusion should then be tested together with technical and financial feasibility. Strong demand alone does not make a project investable if the cost or implementation case fails.
Why EXMC
Evidence EXMC already publishes about its own work, used here only within its documented scope.
Representative examples published by EXMC. Client identities are generalised to maintain confidentiality. Published work does not by itself establish permission to perform activities that require specific regulatory authorisation.
Frequently asked questions
How is demand estimated in a market feasibility study?
Demand is built from evidence relevant to the project: customer segments, geography, existing consumption or capacity, buying behaviour, competitor supply, price, channels and the project’s ability to capture customers. The study should distinguish broad market size from addressable and achievable demand.
How are competitors and pricing assessed?
Competitors are evaluated by the factors that affect customer choice and available capacity—location, scale, proposition, customer segment, price, channels and barriers. Pricing is tested against observed market levels, customer value and price-volume trade-offs rather than used as an unsupported management assumption.
How are customer segments selected?
Segments should differ in a way that changes the commercial case: need, purchasing behaviour, price sensitivity, geography, company type, use case or acquisition channel. The study prioritises segments that the project can reach and serve economically, not simply every possible buyer.
How do market findings feed the financial model?
The market study provides the revenue drivers: customer/volume assumptions, price, utilisation, market share, acquisition pace and ramp-up. Those variables become model inputs and are then stress-tested through financial scenarios and sensitivities.
Discuss your market case
If demand, competition, pricing or achievable market share is the central uncertainty in your project, EXMC can structure the market feasibility work around the evidence required to support—or challenge—the revenue case.