Market, Industry and Competitive Analysis

Introduction

A venture does not succeed merely because it has an attractive product. It succeeds when a sufficiently large group of customers recognizes a meaningful problem, has the ability and willingness to pay for a solution, and can be reached economically in an industry whose structure permits sustainable returns. Market, industry, and competitive analysis therefore connects entrepreneurial opportunity recognition with strategic judgment.

Market analysis examines customers, needs, demand, segments, and market size. Industry analysis examines the economic and structural conditions within which firms compete. Competitive analysis evaluates direct and indirect rivals, their resources, positioning, business models, and likely responses. Ecosystem and macroenvironmental analysis extend the assessment beyond the focal firm to partners, regulators, technologies, institutions, and social forces.

For graduate managers, the purpose is not to produce an attractive market report. It is to reduce decision uncertainty, identify assumptions requiring validation, and determine whether a venture can create and capture value.

Learning Objectives

By the end of this chapter, the reader should be able to:

1. Segment customers using strategically meaningful criteria.
2. Estimate market size using top-down and bottom-up methods.
3. Evaluate industry attractiveness using structural and dynamic frameworks.
4. Analyze competitors, substitutes, complements, and likely competitive responses.
5. Map an entrepreneurial ecosystem and identify dependencies and bottlenecks.
6. Apply PESTEL and related tools to assess macroenvironmental change.
7. Integrate evidence into a defensible market-entry and venture-creation judgment.
8. Recognize ethical, regulatory, data-quality, and methodological limitations in analysis.

1. From Opportunity Idea to Evidence-Based Attractiveness

An opportunity is not identical to a market. An opportunity is a proposed relationship between a customer problem, a solution, a business model, and a favorable set of conditions. A market is the set of actual or potential buyers and sellers connected by a particular need, use case, or category. A large market may be unattractive if customers are difficult to reach, margins are low, incumbents are powerful, or regulation is prohibitive. Conversely, a small initial market may be attractive if it is growing rapidly and provides a focused beachhead for expansion.

A useful analytical distinction is between:

• Desirability: whether customers experience a significant problem and value the proposed solution.
• Feasibility: whether the venture can produce and deliver the solution with available capabilities.
• Viability: whether revenues, costs, capital requirements, and risks support an economically sustainable model.
• Defensibility: whether the venture can preserve advantage through learning, brand, switching costs, network effects, intellectual property, data, or other barriers.

Market attractiveness is consequently multidimensional. It should be assessed through evidence rather than through market size alone.

Important terminology

A customer is an actor who uses, specifies, influences, or pays for a solution. These roles may be held by different parties. In enterprise markets, for example, a user may be an employee, a procurement officer may select the supplier, and a finance department may authorize payment. A need is a desired outcome or problem state; a solution is the venture’s proposed means of producing that outcome. A value proposition explains why a defined customer should prefer the solution over available alternatives.

A market boundary defines what is included in the analysis. Boundaries may be based on product function, customer job, geography, channel, price point, or time period. Poorly defined boundaries create misleading estimates: a venture may claim the size of an entire industry while serving only a narrow use case.

2. Customer Segmentation and Market Selection

Segmentation divides a heterogeneous market into groups with sufficiently similar characteristics, needs, behaviors, or responses that differentiated strategies are justified. Segmentation is strategically useful only when it changes a decision concerning product design, pricing, distribution, communication, or resource allocation.

Segmentation bases

Common bases include:

Graduate-level analysis should avoid treating demographic categories as explanations. Demographics may correlate with behavior, but the underlying need, context, or economic incentive usually provides a stronger basis for strategy.

Segmentation criteria

A segment should be measurable enough to estimate, substantial enough to matter, accessible through identifiable channels, differentiable in its response, and actionable for the venture. Segment stability also matters. A segment defined by a temporary trend may disappear before the venture reaches scale.

Entrepreneurs should distinguish the total addressable market (TAM), the serviceable available market (SAM), and the serviceable obtainable market (SOM). TAM represents the broad demand under a stated definition; SAM is the portion compatible with the venture’s product, geography, channel, and capabilities; SOM is the realistically capturable portion within a specified period, considering competition and execution constraints.

The target segment should not simply be the largest group. A compelling beachhead often combines acute need, low switching resistance, accessible distribution, credible willingness to pay, and reference value for subsequent expansion.

3. Market Sizing and Demand Estimation

Market sizing is an estimate, not a fact. Its credibility depends on transparent definitions, source quality, consistent units, and explicit assumptions. The two principal approaches are top-down and bottom-up.

Top-down estimation

Top-down sizing begins with an industry or population estimate and narrows it using relevant proportions. In general form:

The relevant population may be households, firms, transactions, or users. Adoption rate must refer to the same product definition and period, and annual spending must be expressed in the same currency and time basis. The method is efficient but vulnerable to category ambiguity and unsupported filtering assumptions.

Bottom-up estimation

Bottom-up sizing begins with observable units such as customers, locations, subscriptions, transactions, or sales capacity:

For a transaction business, a more appropriate expression may be:

If a venture expects different segments, the total should be disaggregated:

Here, subscript i identifies segment i. The equation assumes that segment estimates are mutually exclusive and that annual revenue per customer is measured consistently. It estimates revenue opportunity, not profit.

Worked example: bottom-up estimation

An illustrative software venture targets 2,000 small clinics in a defined region. It estimates that 30% have the relevant workflow problem, 50% of those are reachable through its initial channels, and an annual subscription would be $1,200 per clinic. Its initial serviceable market is:

2,000 × 0.30 × 0.50 × $1,200 = $360,000 per year.

This is not the venture’s expected first-year revenue. It is a constrained revenue pool before considering competitors, sales capacity, churn, implementation failure, or price variation. If the venture can sell to 40 clinics in year one, expected first-year contracted revenue at the stated price would be:

40 × $1,200 = $48,000.

The difference between the serviceable market and obtainable sales illustrates why TAM claims should not be confused with forecasts.

Sensitivity and scenario analysis

Since estimates depend on uncertain assumptions, managers should calculate scenarios rather than report a single precise number. A simple sensitivity analysis varies key drivers such as adoption, price, frequency, retention, or reachable customers. Scenario analysis combines internally consistent assumptions, such as conservative, base, and expansion cases.

For recurring-revenue ventures, customer retention is central. If the analysis uses customer lifetime value, the assumptions must be stated. A simplified contribution-based estimate is:

This approximation assumes a constant churn rate, stable contribution margin, and a sufficiently long horizon. It excludes acquisition costs, discounting, expansion revenue, and cohort variation; therefore it should not be treated as a complete valuation or financial forecast.

4. Industry Structure and Attractiveness

Industry analysis asks why some environments permit higher returns or faster growth than others. Michael Porter’s five-forces framework evaluates rivalry among existing competitors, threat of new entrants, bargaining power of suppliers, bargaining power of buyers, and threat of substitutes. The framework is not a checklist for labeling an industry attractive or unattractive. It is a way to identify the mechanisms that influence price, cost, investment, and value capture.

Rivalry among existing competitors

Rivalry tends to intensify when competitors are numerous or similar in power, industry growth is slow, fixed costs are high, products are weakly differentiated, switching costs are low, and exit is difficult. Rivalry may appear through price reductions, advertising, feature imitation, service enhancements, capacity expansion, or exclusive contracts. A growing market can still be highly competitive if firms invest aggressively to gain share.

Threat of new entrants

Entry is easier when capital requirements are low, regulation is limited, distribution is open, customers can switch easily, and incumbents have weak advantages. Barriers may include economies of scale, brand trust, network effects, proprietary technology, data advantages, learning curves, licensing, access to scarce inputs, and switching costs. Barriers are not automatically beneficial: regulation may protect incumbents but also increase the venture’s compliance burden.

Bargaining power of buyers

Buyer power increases when buyers are concentrated, purchases are large relative to supplier sales, offerings are standardized, switching costs are low, price information is readily available, and buyers can credibly integrate backward or sponsor alternatives. In platform markets, a venture may face several buyer groups whose interests conflict.

Bargaining power of suppliers

Supplier power increases when inputs are concentrated, specialized, difficult to replace, or critical to quality and reliability. Dependence on a single cloud provider, manufacturer, data source, logistics partner, or skilled labor pool may create strategic vulnerability even when the nominal supplier market appears large.

Threat of substitutes

A substitute performs a similar customer job through a different means. It need not belong to the same product category. Public transportation can substitute for a ride-hailing service; spreadsheets can substitute for specialized software; doing nothing can substitute for purchasing. Substitutes constrain price when customers can switch based on total value, including convenience, risk, time, and social meaning.

Complements and industry evolution

Five forces should be supplemented by analysis of complements: products or services that increase the value of the focal offering. Payment infrastructure, developer tools, standards, data providers, and distribution platforms may be complements. Their availability can accelerate market formation, while dependence on a dominant complement can create platform risk.

Industry structure is dynamic. Digital technologies may lower entry barriers while increasing data or scale advantages. Regulation may create legitimacy and trust while raising costs. Managers should examine how forces are likely to change, not merely describe current conditions.

5. Competitor Analysis and Strategic Positioning

Competitor analysis begins by defining alternatives from the customer’s perspective. A direct competitor offers a similar solution to the same segment. An indirect competitor addresses the same need differently. A potential competitor currently serves another segment but possesses capabilities that make entry plausible. The customer’s status quo is also a competitor when the decision is whether to change.

A useful competitor profile includes:

1. Target customers and jobs served.
2. Core value proposition and positioning.
3. Pricing and revenue model.
4. Distribution channels and sales process.
5. Cost structure and key resources.
6. Technology, data, brand, partnerships, and intellectual property.
7. Strengths, weaknesses, and likely strategic responses.
8. Evidence of traction, such as retention, usage, contracts, or repeat purchase.

A comparison matrix should distinguish verified facts from inference. Public pricing may not equal realized pricing; funding does not prove product-market fit; website claims do not establish customer value.

Strategic groups and positioning

A strategic-group map places competitors on two strategically meaningful dimensions, such as price and service intensity or breadth and specialization. The map may reveal crowded positions, underserved niches, and mobility barriers. It does not prove that an empty position is attractive; absence may reflect poor economics or weak demand.

Positioning should be expressed in terms of a customer-relevant trade-off. For example, a venture might offer a specialized compliance solution for regulated small firms, trading broad feature coverage for implementation speed and auditability. Differentiation is strategically meaningful only if customers notice it, value it, and cannot immediately obtain it from rivals.

Anticipating competitive response

New entry can provoke price cuts, imitation, exclusive contracting, lobbying, acquisition attempts, or intensified promotion. Scenario planning should consider the incumbent’s incentives, resources, and reputation. A venture may reduce retaliation by entering a neglected niche, partnering with an incumbent, building a distinctive capability, or establishing customer relationships before expanding into the incumbent’s core market.

6. Ecosystem Mapping

A venture operates within an ecosystem: a network of interdependent actors whose resources, rules, and interactions affect value creation and capture. Actors may include customers, suppliers, complementors, distributors, platforms, regulators, standards bodies, investors, universities, communities, and competitors.

Ecosystem mapping should identify:

• The actors required for the customer outcome.
• The flows of money, information, data, products, legitimacy, and risk.
• Gatekeepers controlling access to customers or critical infrastructure.
• Dependencies and points of failure.
• Potential partners, orchestrators, and complementors.
• Conflicts of interest and value-distribution issues.

A health-technology venture, for instance, may depend on clinicians, patients, insurers, hospitals, regulators, electronic-record vendors, cybersecurity providers, and professional associations. The paying customer may not be the end user, and adoption may require trust from actors who receive no direct revenue.

Ecosystem analysis is especially important in platform and network businesses. A platform may need to solve a chicken-and-egg problem by subsidizing one side, using a narrow niche, or integrating an initial supply source. Network effects occur when the value to one participant changes as participation changes. They may be direct, as in communication networks, or indirect, as when more sellers attract buyers and more buyers attract sellers. Network effects can strengthen defensibility, but they may also produce congestion, low-quality participation, privacy risks, and winner-take-most dynamics.

7. Macroenvironmental Analysis

PESTEL examines political, economic, social, technological, environmental, and legal influences. It should not become a list of news events. Each factor should be connected to a mechanism affecting demand, cost, risk, timing, or strategic freedom.

The analysis should assess both direct and second-order effects. For example, a data-protection law may increase compliance costs, but it may also increase customer trust and disadvantage less-prepared competitors. A technological breakthrough may reduce production cost while making the venture’s original capability easier to imitate.

Regulation, ethics, and legitimacy

Entrepreneurs must distinguish legal permission from social acceptability. A business can comply formally while creating unacceptable risks involving discrimination, privacy, labor exploitation, environmental harm, misleading claims, or exclusion. Relevant questions include:

• Who bears risks that do not appear in the price?
• Are customers able to give meaningful consent?
• Does the venture use personal or sensitive data proportionately?
• Could an algorithm produce disparate impacts?
• Are claims supported by reliable evidence?
• Can affected parties appeal or obtain remedy?

Regulatory analysis should identify applicable jurisdictions, licensing requirements, reporting duties, standards, liability rules, and likely enforcement trends. Professional advice may be required; strategic analysis is not a substitute for legal counsel.

8. Integrating Evidence into a Venture Decision

A high-quality analysis moves from description to judgment. The following sequence is useful:

1. Define the customer job and market boundary.
2. Segment the market and select a beachhead.
3. Estimate TAM, SAM, and SOM using transparent assumptions.
4. Test willingness to pay and purchasing authority.
5. Analyze industry forces and likely structural changes.
6. Profile direct, indirect, and potential competitors.
7. Map ecosystem dependencies and complementors.
8. Assess PESTEL drivers and regulatory obligations.
9. Identify the most uncertain and consequential assumptions.
10. Design experiments, pilots, interviews, or data collection to test them.
11. Decide whether to proceed, pivot, partner, narrow scope, or stop.

Evidence should be triangulated. Secondary reports provide context but may use incompatible definitions. Customer interviews reveal problems and language but may overstate future behavior. Surveys can estimate stated preferences but suffer from sampling and response bias. Behavioral data reveal actual actions but may not explain motives. Experiments and paid pilots provide stronger evidence of behavior, although they can be expensive and context-specific.

A practical evidence log records each assumption, source, confidence level, consequence if wrong, and next validation activity. This transforms analysis from a one-time document into a learning system.

Applied Case: ClearRoute Cold-Chain Monitoring

This is a fictional illustrative case.

Background

ClearRoute is a proposed venture offering low-cost sensors and subscription software to monitor temperature-sensitive medicines during transport. The founders initially described the opportunity as a large global logistics market. They needed to determine whether a focused launch in one national market was commercially and operationally attractive.

Problem and initial assumptions

The team discovered that the user, buyer, and payer were different. Drivers used the system, logistics managers evaluated it, pharmaceutical distributors often paid for it, and regulators influenced required records. The initial TAM claim included all freight shipments, although only a small portion required continuous temperature monitoring.

Analysis

The team segmented customers into large pharmaceutical distributors, specialized third-party logistics firms, hospital networks, and small clinics. Interviews suggested that large distributors already had sophisticated systems and lengthy procurement processes. Smaller clinics had a real problem but limited budgets. Specialized logistics firms appeared to have a concentrated, accessible need and could use monitoring records to demonstrate compliance to their clients.

The team estimated a regional population of 600 specialized logistics firms. Research suggested that 25% handled temperature-sensitive medicines, 60% operated in the initial service geography, and the expected annual contract value was $4,000. The resulting constrained annual market estimate was:

600 × 0.25 × 0.60 × $4,000 = $360,000.

The estimate was modest but more credible than the original global claim. Competitive analysis identified established high-end systems, inexpensive standalone sensors, and manual paper procedures as alternatives. ClearRoute’s proposed position was not simply “cheaper monitoring”; it was rapid deployment, auditable records, and integration with the logistics firms’ existing workflow.

The ecosystem map identified sensor manufacturers, cellular connectivity providers, calibration laboratories, pharmaceutical customers, logistics firms, regulators, and insurance stakeholders. A key dependency was sensor accuracy and calibration. A key risk was that connectivity failures could produce gaps in records, undermining the product’s compliance value.

PESTEL analysis indicated that stricter traceability expectations could increase demand, while data and medical-device rules could increase compliance costs. The team also recognized an ethical obligation not to market the system as guaranteeing product safety when it only monitored selected conditions.

Approach and solution

Rather than build a full platform, ClearRoute proposed a paid pilot with three logistics firms. The pilot would test installation time, data completeness, alert response, renewal intention, and willingness to pay. It would also test whether managers valued continuous monitoring more than periodic manual checks. The venture planned redundancy for connectivity, documented calibration procedures, role-based access to data, and contractual clarity about responsibility for responding to alerts.

Outcome

The pilot produced mixed results. Customers valued automated compliance records, but they resisted a per-sensor pricing model because shipment volumes varied. ClearRoute revised its offer to combine a base platform fee with usage charges and introduced an integration service. Two firms renewed after the pilot; one did not because its customers did not reimburse monitoring costs. The venture therefore narrowed its initial target to logistics firms serving pharmaceutical clients that explicitly required auditable monitoring.

Learning points

The case illustrates that market attractiveness depends on customer roles, reimbursement, workflow integration, and ecosystem dependencies—not only on the number of shipments. A smaller, clearly defined segment can provide stronger evidence and a more credible path to entry. It also demonstrates that validation should test payment and renewal behavior, not merely positive interview reactions.

Challenges and Limitations

Market and competitive analysis has unavoidable limitations. Market boundaries are contestable, categories evolve, and historical data may not describe emerging demand. Forecasts often embed optimistic adoption assumptions. Competitor information is incomplete and may be strategically distorted. Interviews can suffer from courtesy bias, recall error, and hypothetical-bias. Surveys may report intentions that do not translate into purchases. Early adopters may not represent the mainstream market.

Industry frameworks can also oversimplify. Five forces emphasizes economic structure but may understate institutional legitimacy, entrepreneurship, complementors, ecosystems, and non-market strategy. PESTEL can become descriptive rather than causal. A competitor matrix may create false precision by scoring qualitative judgments numerically.

Managers should therefore use ranges, document assumptions, seek disconfirming evidence, update analyses over time, and distinguish observed facts from interpretations. The appropriate conclusion may be conditional: “The opportunity is attractive if adoption exceeds a specified threshold and a critical partner can be secured.” Such a conclusion is more useful than unsupported certainty.

Contemporary Developments and Best Practices

Artificial intelligence can support market research by classifying reviews, detecting themes, monitoring competitors, estimating demand, and generating scenario inputs. However, AI outputs may reproduce sampling bias, hallucinate sources, expose confidential information, or confuse correlation with demand causation. Human review, source verification, privacy safeguards, and clear documentation remain essential.

Contemporary ventures should also analyze resilience. Geopolitical disruption, climate risk, cyber threats, platform-policy changes, and supply-chain concentration can alter attractiveness rapidly. Scenario planning should include not only growth but also disruption, regulation, partner loss, and demand contraction.

Best practices include:

• Define the market by customer job and purchasing context.
• Use both top-down context and bottom-up operational estimates.
• Separate TAM, SAM, SOM, forecast revenue, and profit potential.
• Validate willingness to pay through behavior, pilots, or transactions.
• Analyze substitutes and the status quo explicitly.
• Map who controls access, data, standards, and legitimacy.
• Treat regulation and ethics as design considerations, not late-stage obstacles.
• Use competitor evidence carefully and anticipate responses.
• State assumptions, ranges, units, dates, and sources.
• Revisit the analysis as learning and external conditions change.

Chapter Summary

Market, industry, and competitive analysis provides the evidence base for venture creation. Customer segmentation identifies groups with distinct needs and economics; target-market selection chooses a beachhead that is meaningful, accessible, and strategically useful. TAM, SAM, and SOM clarify progressively narrower opportunity boundaries, while top-down and bottom-up methods provide complementary estimates. Industry analysis uses the five forces to examine rivalry, entry, buyers, suppliers, and substitutes, but must be extended to complements and dynamic change. Competitor analysis evaluates alternatives from the customer’s perspective and anticipates strategic response. Ecosystem mapping reveals interdependencies, gatekeepers, and value flows. PESTEL connects macroenvironmental change to demand, cost, risk, and legitimacy. Strong analysis triangulates evidence, tests consequential assumptions, recognizes uncertainty, and integrates ethical and regulatory responsibilities into the venture decision.

Key Terms

Market: A set of actual or potential buyers and sellers connected by a need or category.

Market boundary: The defined scope of customers, products, geography, channels, and time included in analysis.

Customer segment: A group with sufficiently similar needs or responses to justify a distinct strategy.

Value proposition: The reason a defined customer should prefer one offering over alternatives.

TAM: Total addressable market under a stated market definition.

SAM: Serviceable available market compatible with the venture’s product, geography, channels, and capabilities.

SOM: Serviceable obtainable market that can realistically be captured within a specified period.

Top-down sizing: Market estimation that narrows a broad population or industry estimate using proportions.

Bottom-up sizing: Market estimation based on observable customers, transactions, capacity, and revenue per unit.

Willingness to pay: The maximum price or economic sacrifice a customer is prepared to accept for an offering.

Industry structure: The pattern of competitive and economic forces shaping value creation and capture.

Five forces: Rivalry, new entrants, buyer power, supplier power, and substitutes.

Substitute: A different solution that performs a similar customer job.

Complementor: An actor or offering that increases the value of the focal product or service.

Strategic group: Firms with similar strategic positions or combinations of competitive dimensions.

Ecosystem: Interdependent actors and institutions involved in creating, delivering, regulating, or legitimizing value.

Network effect: A change in an offering’s value associated with changes in participation by other users.

PESTEL: Analysis of political, economic, social, technological, environmental, and legal forces.

Beachhead market: A focused initial segment used to establish traction before broader expansion.

Triangulation: The use of multiple methods or sources to improve confidence in a conclusion.

Review Questions

Short Answer Questions

1. Distinguish between TAM, SAM, and SOM.
2. What makes a customer segment strategically actionable?
3. Identify the five forces in Porter’s industry framework.
4. Why should substitutes include the status quo?
5. What is the purpose of ecosystem mapping?

Long Answer Questions

1. Explain how customer roles can differ in an organizational buying process and discuss the implications for venture design.
2. Compare top-down and bottom-up market-sizing methods, including their principal strengths and limitations.
3. Explain how industry structure influences a venture’s ability to create and capture value.
4. Discuss how PESTEL analysis can be converted from a descriptive list into a strategic assessment.
5. Evaluate the limitations of competitor analysis in an emerging market.

Analytical / Application Questions

1. A venture identifies 10,000 potential business customers. Research indicates that 20% have the relevant problem, 40% are reachable through the initial channel, and annual revenue per customer is $2,500. Calculate the constrained annual market opportunity and explain why it is not equivalent to a first-year revenue forecast.
2. Select an industry of your choice and construct a five-forces analysis. Identify the force most likely to constrain profitability and state what evidence would change your conclusion.
3. Develop an ecosystem map for a digital health, climate-tech, or platform venture. Identify two critical dependencies, one potential complementor, one gatekeeper, and one ethical or regulatory risk.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes SAM from SOM?

A. SAM is the entire global industry, while SOM is the total number of competitors.

B. SAM is the compatible market the venture can serve, while SOM is the portion it can realistically capture.

C. SAM is forecast profit, while SOM is forecast revenue.

D. SAM measures customer satisfaction, while SOM measures adoption speed.

Correct Answer: B. SAM is the compatible market the venture can serve, while SOM is the portion it can realistically capture.

Question 2

A venture estimates market value by multiplying target firms by expected annual revenue per firm. Which method is being used?

A. Bottom-up sizing

B. PESTEL analysis

C. Strategic-group mapping

D. Top-down sizing

Correct Answer: A. Bottom-up sizing

Question 3

Which condition generally increases buyer bargaining power?

A. High switching costs and highly differentiated products

B. Many fragmented buyers making small purchases

C. Low switching costs and standardized offerings

D. Unique suppliers with no alternative inputs

Correct Answer: C. Low switching costs and standardized offerings

Question 4

A manual spreadsheet process that solves the same customer problem as new software is best classified as:

A. A complementor

B. A substitute

C. A supplier

D. A strategic group

Correct Answer: B. A substitute

Question 5

Which is the strongest reason to conduct ecosystem mapping?

A. To eliminate the need for customer research

B. To identify interdependencies, gatekeepers, and critical partners

C. To calculate accounting profit without cost data

D. To prove that the largest market is always best

Correct Answer: B. To identify interdependencies, gatekeepers, and critical partners

Question 6

A market contains 800 target customers, of whom 25% have the relevant need. If annual revenue per customer is $2,000, what is the estimated annual opportunity before further channel constraints?

A. $40,000

B. $200,000

C. $400,000

D. $1,600,000

Correct Answer: C. $400,000

Question 7

Which PESTEL dimension most directly concerns data-protection obligations?

A. Social

B. Technological

C. Legal

D. Environmental

Correct Answer: C. Legal

Question 8

Why should a competitor analysis distinguish verified facts from inference?

A. Because all competitor information is legally confidential

B. Because public claims and indirect signals may not establish actual performance

C. Because inference is never useful in strategy

D. Because competitors cannot respond to new entrants

Correct Answer: B. Because public claims and indirect signals may not establish actual performance

Question 9

Which evidence most directly tests willingness to pay?

A. A customer saying the idea sounds interesting

B. A general industry growth forecast

C. A paid pilot or completed transaction

D. A competitor’s advertising slogan

Correct Answer: C. A paid pilot or completed transaction

Question 10

A platform becomes more valuable to each user as participation by another user group increases. This illustrates:

A. A network effect

B. Supplier concentration

C. Exit barriers

D. Market segmentation

Correct Answer: A. A network effect