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I have a business idea and want to start working on a proper market analysis. Any advice on what this analysis should include?

A market analysis is essentially the foundation upon which you build your business strategy—it transforms your intuition into validated assumptions and helps you avoid building something nobody wants (or building it for the wrong people).

Think of it as creating a map of the battlefield before you commit resources: you need to know the terrain, the other players, the rules of engagement, and where the opportunities actually exist.

Here’s a comprehensive framework for what your analysis should include, organized by strategic importance:

1. Market Size & Structure (The "Where")

Before diving into customers, understand the playground itself.

Total Addressable Market (TAM)

  • The entire revenue opportunity if you captured 100% of the market
  • Why it matters: Investors care, but more importantly, it tells you if this idea can sustain a business or is just a lifestyle project

Serviceable Addressable Market (SAM)

  • The portion you can realistically reach given your geography, regulations, and initial capabilities
  • Why it matters: Prevents the "if we just get 1% of China" fallacy

Serviceable Obtainable Market (SOM)

  • What you can actually capture in the first 3-5 years
  • Why it matters: This drives your revenue projections and resource planning

Key insight: Look for markets that are large enough to be lucrative but fragmented enough to enter. A $1B market dominated by two giants is often worse than a $100M market with 50 small players.

2. Target Customer Segmentation (The "Who")

Go beyond demographics to psychographics and behavioral economics.

Customer Personas

  • Firmographics (B2B): Company size, industry, tech stack, decision-making hierarchy
  • Demographics (B2C): Age, income, location, life stage
  • Psychographics: Values, fears, aspirations, buying triggers

Jobs-to-be-Done (JTBD) Analysis

  • What "job" is the customer hiring your product to do?
  • Example: People don't buy drills; they buy holes in walls (or more specifically, the feeling of capability and home improvement)

Pain Point Prioritization

  • Rank problems by frequency, intensity, and current workaround dissatisfaction
  • Red flag: If customers aren't currently paying to solve this problem (even with inconvenient workarounds), you have an education challenge, not a market capture challenge

3. Competitive Landscape (The "Against Whom")

You have more competitors than you think.

Direct Competitors

  • Those solving the same problem the same way
  • Map their positioning on a Perceptual Map (Price vs. Quality, Speed vs. Customization, etc.)

Indirect Competitors

  • Those solving the same problem differently (e.g., Excel spreadsheets vs. project management software)
  • Substitutes: Completely different solutions that achieve the same outcome (Netflix vs. board games vs. books)

Competitive Moats

  • What prevents others from copying you? Network effects? Switching costs? Proprietary data?
  • Why it matters: If you can't articulate this, you don't have a strategy—you have a first-mover disadvantage waiting to happen

4. Market Trends & Dynamics (The "When")

Markets don't stand still; they move toward or away from your solution.

Macro Trends

  • Regulatory shifts (GDPR, AI legislation, sustainability mandates)
  • Technological disruptions (AI, blockchain, remote work infrastructure)
  • Sociological changes (aging populations, gig economy, privacy consciousness)

Industry Lifecycle

  • Is this market emerging, growing, mature, or declining?
  • Strategy implication: Emerging markets need education budgets; mature markets need differentiation; declining markets need niche focus or exit plans

Supply Chain & Value Chain Analysis

  • Where does value accrue in this ecosystem?
  • Who holds the power—distributors, suppliers, or end customers?

5. Regulatory & Legal Environment (The "Rules")

Often overlooked until it's too late.

  • Licensing requirements and barriers to entry
  • Data privacy regulations (GDPR, CCPA) if handling customer data
  • Industry-specific compliance (HIPAA for health, FINRA for finance)
  • Intellectual property landscape (can you protect your innovation?)

6. Economics & Pricing Architecture (The "How Much")

Understand the money flows.

Unit Economics

  • Customer Acquisition Cost (CAC) benchmarks in your industry
  • Lifetime Value (LTV) ratios
  • Pricing elasticity—how sensitive is this market to price changes?

Go-to-Market Costs

  • Cost per lead by channel
  • Sales cycle length (B2B enterprise vs. B2C impulse)
  • Channel economics (direct vs. marketplace vs. retail)

7. Risk Assessment (The "What If")

Honest analysis of market risks:

  • Market saturation or "winner-take-all" dynamics
  • Platform dependency risks (building on someone else's API/ecosystem)
  • Economic cyclicality (is your offering a vitamin or a painkiller during recessions?)

Synthesis: From Data to Strategy

Raw data is useless without synthesized insights. Your analysis should answer:

  • Where is the gap? (Underserved segments, inefficient processes)
  • Why now? (What changed to make this business viable today vs. 5 years ago?)
  • Why you? (Unique insights, relationships, or capabilities)

Common Pitfalls to Avoid

  1. Confirmation bias: Only interviewing people who validate your idea
  2. Analysis paralysis: Waiting for perfect data rather than directional confidence
  3. Static analysis: Treating today's market as tomorrow's market
  4. Ignoring "non-consumption": The biggest competitor is often doing nothing

To help you dive deeper, I'd love to know:

  • Is this a B2B or B2C concept? (This dramatically changes which sections deserve the most weight)
  • Are you entering an existing category or creating a new one? (The former requires differentiation analysis; the latter requires education budget planning)
  • What's your biggest uncertainty right now—whether people want it, whether you can reach them economically, or whether competitors will crush you?

Or if you have specific questions about how to actually gather this data (primary research methods, free vs. paid sources, interview techniques), I'm happy to walk you through the research methodology next.