TAM / SAM / SOM Market Sizing
Three shrinking circles that turn a vague "how big is this market?" into a number you can defend.
On this page
The gist
- →TAM = total market if everyone bought from you; SAM = slice your model can serve; SOM = share you can win in 1-3 years. Same market, tighter filters.
- →Size annual revenue as a FLOW (units sold per year), never the stock in use — India has 150M two-wheelers on road but sells only ~18M a year.
- →Build top-down (population x filters x price) and cross-check bottom-up (outlets x throughput x price); within 20-30 percent means your assumptions hold.
- →Anchor SOM on something real (rival's share, dealer reach, capacity), give a range on the 2 biggest drivers, and end with the so-what for the decision.
The framework at a glance
When to use it
Reach for TAM/SAM/SOM whenever the case asks "how big is X" or when a client is deciding whether an opportunity is large enough to justify effort. Classic prompts: "Our client, a two-wheeler manufacturer, is considering entering the electric scooter market in India, how big is the prize?"; "A US retailer wants to know if the Indian market for organic baby food is worth entering"; "How many air conditioners are sold in India each year?"; "Should we launch a premium tier, and what revenue would it add?". It is also the first module inside almost every market entry, go-to-market, new product launch, investment due-diligence and startup-pitch case, because you cannot evaluate entry without knowing whether the pot is worth 500 crore or 50,000 crore. Use it in B-school competitions when a deck needs an opportunity-sizing slide, and in product management interviews when asked to prioritise between two segments. Do not reach for it when the question is why profits fell (use profitability) or how to price a product (use pricing). And if the interviewer asks for TAM only, do not spend four minutes computing a SOM they did not ask for.
What it is
TAM, SAM and SOM are three nested estimates of the same market, each one smaller and more honest than the last. TAM (Total Addressable Market) is the total annual revenue that would exist if every possible buyer bought the product and one company served all of them. SAM (Serviceable Addressable Market) is the slice of that TAM a specific company could actually reach given its geography, its channel, its price point and its product design. SOM (Serviceable Obtainable Market) is the part of the SAM that company can realistically win in the next one to three years given competitors, distribution and capacity. Picture three circles inside each other: TAM is the outer ring, SAM sits inside it, SOM is the small disc in the middle. Each ring is not a different market, it is the same market seen through progressively tighter filters.
Keep reading ↓Show less ↑
The reason the framework exists is that "market size" is an ambiguous phrase people use to mean three different things, and the gap between them is where bad decisions live. A founder who says "we are in a 40 billion dollar market" is quoting TAM and telling you almost nothing. An operator who says "there are 6 million urban buyers in our price band and we can win 8 percent of them by year three" is quoting SOM and telling you something you can build a P&L on. TAM answers "is this worth caring about at all", SAM answers "what can this business model touch", SOM answers "what should the revenue plan say". Sizing is always in revenue per year unless stated otherwise, and it is always a flow (sales in a year), not a stock (vehicles on the road, phones in pockets). Confusing flow and stock is the single most common arithmetic error in market sizing.
There are two ways to build the numbers, and strong answers use both. Top-down starts from a big population figure and applies a chain of filters: 1.4 billion people, divided into households, times ownership rate, times replacement rate, times average price. It is fast and gets you to a defensible TAM in ninety seconds. Bottom-up starts from the unit economics of one customer or one outlet and multiplies up: number of stores times customers per store per day times average ticket times 365. It is slower but grounded in things you can actually observe. The professional move is to build one method properly and cross-check with the other. If they land within roughly 20 to 30 percent of each other, your assumptions are probably sane. If they are off by 5x, one assumption is badly wrong, and finding it is more valuable than the number itself.
How to apply it, step by step
- 1
Clarify the question and define the unit
Before any arithmetic, pin down four things out loud: geography (all India, urban India, or Tier 1 only), time period (annual, almost always), the unit (rupees of revenue or number of units sold), and whether they want TAM, SAM or SOM. Ask whether it is a flow (units sold this year) or a stock (units currently in use), because they differ by roughly the product life. Confirm whose market it is: the whole industry's, or your client's addressable share. Thirty seconds here saves you from solving the wrong problem for eight minutes.
- 2
Choose top-down or bottom-up and say why
Top-down works when the population is well known and the product has broad consumer reach: toothpaste, mobile data, two-wheelers. Bottom-up works when the customer base is concentrated or outlet-driven: enterprise software, restaurant chains, hospital equipment, quick-commerce dark stores. State your choice and the reason in one sentence, for example 'I will go top-down from the Indian household base, because two-wheeler ownership is a household-level decision.' Announcing the method signals structure and lets the interviewer redirect you before you waste time.
- 3
Build the TAM as an explicit equation
Write the formula before you plug in numbers so the interviewer can follow and correct you: TAM = number of buyers x purchase frequency x average price. For durable goods the frequency term is usually 1 divided by product life. Use round, easily manipulated numbers (1.4 billion people, 4 to 5 people per household, 300 million households) and keep everything in the same units. Say each assumption aloud with a one-line justification, because the assumption chain is what you are actually graded on, not the final digit.
- 4
Cut TAM down to SAM with named filters
SAM is TAM minus the parts your client structurally cannot serve. Apply three or four explicit filters and attach a percentage to each: geography (we operate in 8 states covering 40 percent of demand), segment or income band (only the 1 to 1.5 lakh price point, 35 percent of units), channel (organised retail only, 60 percent), and regulation or product fit (needs home charging access). Do not stack more than four filters or the number becomes a fantasy. State each filter as a business constraint, not just a multiplier, so the logic survives scrutiny.
- 5
Estimate SOM with a defensible share story
SOM is SAM times the share you can win in one to three years. Never pull that share out of thin air. Anchor it on something real: the current share of the number-three player, your distribution reach relative to the leader (250 dealers against the leader's 1,200 is roughly 20 percent of reach), production capacity, or your share of category marketing spend. If the category itself is growing fast, apply the adoption curve first (EV penetration moving from 6 percent to 15 percent) and then share within it. Always state the time horizon: SOM by year three, not 'eventually'.
- 6
Cross-check with the other method
Rebuild the number the other way and compare. If top-down gave a SOM of 72,000 units, check bottom-up: 250 dealerships x 25 units per dealership per month x 12 months = 75,000. Landing within 20 to 30 percent means your assumptions hold together. A 5x gap means one input is wrong, and hunting it down in front of the interviewer is a strong move, not an admission of failure. Anchoring against a known real number (India sells roughly 18 million two-wheelers a year) is a second, faster version of the same check.
- 7
Sanity-check and flex the two biggest drivers
Ask whether the answer is physically plausible: does it imply every household buys three units a year, or that the category is bigger than all of Indian FMCG? Then identify the two assumptions the answer is most sensitive to, usually adoption rate and market share, or price and frequency, and flex them. Give a range: 'base case 900 crore, but at 20 percent EV penetration it is 1,150 crore, and at 5 percent share it is 540 crore.' A range with named drivers reads far more senior than a single false-precision number.
- 8
Land the so-what and connect to the decision
Finish by answering the question that was actually asked, not just the arithmetic. Say what the number means: 'a 900 crore serviceable opportunity in year three clears the client's 500 crore threshold, so entry is worth pursuing, and the sensitivity says the decision hinges on charging infrastructure rather than our marketing spend.' Name the one input you would validate first with real data. A sizing answer that ends with a number and no recommendation is incomplete.
Worked example
A large Indian two-wheeler manufacturer is deciding whether to launch a dedicated electric scooter brand. The CEO asks: how big is the electric two-wheeler prize in India, and how much of it can we realistically capture by year three? You have no data in front of you, only a whiteboard.
Clarify and set up
You confirm: all India, annual revenue in rupees, new-vehicle sales (a flow, not the 150 million-plus two-wheelers already on the road), and that the CEO wants all three layers. You define TAM as the entire Indian two-wheeler market regardless of propulsion, because in principle an electric scooter competes for every two-wheeler purchase. You announce a top-down build from households, to be cross-checked bottom-up from dealerships.
Build the TAM (top-down)
India has roughly 1.4 billion people at about 4.5 people per household, so roughly 300 to 310 million households. Around half own a two-wheeler, giving about 150 million vehicles in use. With an average useful life of about 10 years, replacement demand is roughly 15 million units a year, plus about 3 million units of first-time and growth demand, so about 18 million units sold annually. At an average selling price of about 90,000 rupees, TAM is roughly 18 million x 90,000 = 1.6 lakh crore rupees, or about 19 billion dollars a year.
Cut down to the SAM
An electric scooter cannot serve all 18 million buyers today. Apply three filters out loud. Charging access: realistically urban and semi-urban buyers with a parking spot, roughly 45 percent of units. Use case: daily commute under 60 km so range anxiety is not fatal, which covers most of that urban base. Price band: the 1 to 1.5 lakh rupee segment where electric competes, which trims further. Net, about 35 percent of units are addressable, so about 6 million units a year at an average selling price of 1.2 lakh rupees. SAM is roughly 6 million x 1.2 lakh = 72,000 crore rupees.
Estimate the SOM
Two multiplications, both anchored. First, category adoption: electric is currently around 5 to 6 percent of two-wheeler sales, and a reasonable year-three view is about 15 percent of the addressable segment, giving roughly 0.9 million electric units inside the SAM. Second, our share: we launch in 8 states with about 250 dealerships against incumbents running well over 1,000, so roughly 20 percent of leader reach, and in a field of five serious players a realistic year-three share is about 8 percent. SOM = 0.9 million x 8 percent = about 72,000 units, or roughly 900 crore rupees of annual revenue.
Cross-check bottom-up
Rebuild from the ground: 250 dealerships selling about 25 electric scooters a month each is 250 x 25 x 12 = 75,000 units a year, within 5 percent of the 72,000 from the top-down path, so the assumption chain holds. As a second anchor, 72,000 units against an 18 million unit national market is 0.4 percent of all two-wheelers, a plausible year-three position for a new brand rather than a fantasy.
Sensitivity and recommendation
The answer hinges on two drivers. If electric penetration reaches 20 percent instead of 15, SOM rises to about 1,150 crore rupees. If we win only 5 percent share instead of 8, it falls to about 540 crore. So the honest answer is a 550 to 1,150 crore range with a 900 crore base case. Recommendation: the base case clears a 500 crore hurdle, so entry is worth pursuing, but the swing factor is charging access and category adoption rather than our own marketing spend, so the first thing to validate with real data is urban charging availability in the 8 target states.
Takeaway: TAM of 1.6 lakh crore says the industry is enormous; SOM of roughly 900 crore is the only number the CEO can budget against. The real value was not the final digit but discovering that the decision depends on charging infrastructure, which the sensitivity analysis surfaced and the TAM alone would have hidden.
More worked examples
Worked example: Peloton at its 2019 IPO, and the moment TAM stopped being honest+
You are on the investment committee of a fund reading Peloton's 2019 IPO filing. Management's pitch, as widely reported at the time, leaned on two headline numbers: a serviceable market of roughly 14 million US households at its then hardware price, and a much larger total opportunity of roughly 67 million households once cheaper price points and international markets were counted. The bike listed around $2,245 and the connected-fitness subscription around $39 a month. The committee asks the only question that matters: how many subscribers can this business actually reach in three years, and does the equity story require a number that market sizing says is impossible? All figures below are rounded and illustrative, used to show the method rather than to restate audited financials.
US households (approx.)
~130 million
SAM households (approx.)
~14 million
Revenue per subscribing household/yr (illustrative)
~$900
SAM in annual revenue (approx.)
~$12 billion
Defensible year-3 SOM (illustrative)
~$2.5 billion / ~2.8m subs
Clarify the unit and refuse the household-count trap
The first correction is that 67 million households is not a market size, it is a population count, and the framework demands annual revenue. The revenue unit here is a blend of two very different flows: hardware, which is a one-time purchase amortised over a roughly five-year replacement cycle, plus a recurring subscription. So revenue per active household per year is roughly $2,245 divided by 5, about $450, plus $39 times 12, about $468, giving roughly $900 a year. Second correction: subscribers are a stock that decays with churn, while sales are a flow, so any three-year subscriber number must net out cancellations rather than just adding gross additions.
Build the TAM top-down, and label it as a ceiling
Start from roughly 130 million US households. The honest outer boundary is households that spend money on structured fitness at all: US gym membership sits around 60 million individuals, which maps to somewhere near 45 million households, roughly a third of the country. At about $900 of annual connected-fitness revenue per household, TAM lands around 45 million times $900, or roughly $40 billion a year in the US. That number is useful only to answer 'is this category worth caring about', and the answer is yes, but notice it already assumes every gym-going household converts to a premium home bike, which nobody believes.
Cut to SAM with four named, physical filters
Filter one is affordability: a $2,245 upfront purchase plus a $468 annual subscription realistically needs household income above roughly $100,000, which is around 30 percent of US households, or about 39 million. Filter two is physical space, because a bike needs a permanent square metre of floor in a home, which knocks out a large share of urban renters, call it 60 percent surviving, leaving about 23 million. Filter three is modality preference, since cycling is one cardio format among running, strength and classes, and cycling-first households are roughly half of the cardio-inclined base, taking us to about 12 to 14 million households, which is almost exactly the 14 million management themselves published. At about $900 per household per year, SAM is roughly $12 billion a year, not the $40 billion TAM and definitely not 67 million anything.
Estimate SOM against the constraint that actually binds
SOM is SAM times winnable share, and the anchor must be an operational limit rather than optimism. At IPO Peloton had roughly 500,000 connected-fitness subscribers, about 100 showrooms, and, critically, its own last-mile delivery and installation network, because a 60 kilogram bike cannot ship by parcel. Delivery capacity is the real ceiling: a two-person install crew handles roughly six to eight bikes a day, so the fleet size, not consumer desire, sets how many units can land per quarter. Combining a rising customer acquisition cost with that logistics ceiling, a defensible year-three position is roughly 2.5 to 3 million subscribers, about 18 to 20 percent of the 14 million SAM, or roughly $2.5 billion of annual revenue.
Cross-check and benchmark before believing yourself
Sanity-check that 18 to 20 percent share: winning one in five of every affordable, space-having, cycling-inclined household in America inside three years would make Peloton one of the most successful consumer hardware penetrations on record, so the number is aggressive, not conservative. Cross-check the churn drag: at roughly 1 percent monthly churn on a 3 million base, you lose about 30,000 subscribers a month, meaning gross additions must run over 360,000 a year just to stand still. The events that followed are consistent with this arithmetic, since connected-fitness subscribers peaked near 3 million even with a pandemic tailwind that nobody could have modelled in 2019. In other words, the sizing framework predicted the ceiling that a demand shock could reach but not exceed.
Flex the two drivers and land the so-what
Only two inputs move the answer materially. Price is one: the later cut of the base bike to roughly $1,495 lowers the income filter from about $100,000 to about $75,000 and pulls perhaps 10 million more households into SAM, which is the correct mechanism, a price cut expands SAM rather than share. Churn is the other: at 0.7 percent monthly the same gross additions support a materially larger base than at 1.2 percent, so retention is worth more than another showroom. The committee conclusion is that the business is real but the valuation implied a subscriber base well beyond the 2.5 to 3 million the SAM and the delivery capacity could support, and the single input to verify first is monthly churn on cohorts older than 24 months.
Takeaway: The framework did not disprove Peloton, it relocated the risk: a $40 billion TAM and 67 million households were never the constraint, a roughly 14 million household SAM and a delivery-capacity-limited SOM near 3 million subscribers were. The discipline of forcing the number into annual revenue per household, then applying income, space and modality filters, produced a year-three ceiling that management's headline TAM had completely hidden.
Worked example: sizing India's preventive health-checkup market for a PE investment+
A mid-market private equity fund is evaluating a roughly 800 crore rupee investment for a controlling stake in a South India diagnostics chain that runs 12 labs and 180 collection centres across 4 states, doing about 150 crore rupees of revenue. The chain's growth story is preventive full-body health-checkup packages, sold to walk-in consumers and to corporates as employee health benefits. The partner asks you: how big is the organised preventive checkup market in India, what can this chain realistically earn from it by year three, and does that clear our return hurdle? Whiteboard only, no data room.
Theoretical TAM ceiling (approx.)
~1.2 lakh crore rupees
Organised preventive SAM (approx.)
~5,000 crore rupees
Blended package price (illustrative)
~3,200 rupees
Preventive checkups per centre per day
~8
Year-3 SOM (illustrative)
~310 crore rupees
Clarify the question and the unit before touching a number
Say out loud what you are sizing: all India, annual revenue in rupees, preventive health-checkup packages only, which excludes doctor-prescribed pathology and radiology because those are a different buying occasion with a different payer. This is a flow, checkups sold in a year, not a stock of people who have ever taken one, and the buying unit is an individual adult rather than a household, since two working adults in the same home buy two packages. Confirm whose market it is: the fund cares about the organised segment, because a standalone neighbourhood lab is not an acquisition target or a competitor the chain can take share from in the same way. And confirm the client wants all three layers, because the partner will use TAM to judge whether the theme deserves capital and SOM to underwrite the exit.
Build the TAM and explicitly call it a fantasy ceiling
India has roughly 1.4 billion people, of whom adults aged 25 and above are roughly 45 percent, about 620 million people, since preventive checkups are not sold to children. If every one of those adults took one annual checkup at an average package price of about 2,000 rupees, TAM would be 620 million times 2,000, or roughly 1.24 lakh crore rupees a year. State immediately that this is a theoretical ceiling and nothing more: it assumes universal ability to pay and universal preventive-health behaviour in a country where most diagnostic spend is reactive and out of pocket. Its only job is to tell the partner the theme is structurally large, and then to be discarded.
Cut to SAM with four filters, each stated as a business constraint
Filter one, ability to pay: a discretionary 2,000 to 4,000 rupee health spend needs household income above roughly 6 lakh rupees a year, which is broadly the top 12 to 15 percent of Indian households, about 40 million households, and at roughly 2.2 adults aged 25-plus per household that is about 90 million adults. Filter two, logistics reach: an organised chain needs sample-collection density and a cold chain, which today realistically covers metros and Tier-1 and larger Tier-2 towns, roughly 55 percent of that affluent base, so about 50 million adults. Filter three, actual behaviour: only a minority of even affluent adults do an annual preventive package rather than one-off prescribed tests, and post-COVID a fair estimate is about 40 percent, giving about 20 million checkup buyers, at roughly 1.15 packages a year each, or about 23 million checkups. Filter four, organised versus standalone: organised chains hold roughly 45 percent of Indian diagnostics overall but skew higher in packaged preventive products, call it 55 percent, leaving about 12.6 million organised checkups.
Cross-check the SAM, find the broken assumption, and fix it in front of the partner
At the entry price of 2,000 rupees, 12.6 million checkups gives about 2,500 crore rupees, but the known benchmark is that Indian diagnostics is roughly 80,000 crore rupees and preventive or wellness is usually put at 10 to 12 percent of it, so 8,000 to 9,000 crore. A three to four times gap means an input is wrong, and hunting it is more valuable than defending the number. Two assumptions break: 2,000 rupees is the entry-level package price while the affluent segment that actually buys skews to 3,000 to 5,000 rupee comprehensive panels, so blended realisation is closer to 3,200 rupees, and the corporate channel was ignored entirely even though employer-paid annual checkups are a large, separately contracted flow. Recomputing at 12.6 million checkups times 3,200 rupees gives about 4,000 crore rupees of retail, plus roughly 1,000 to 1,200 crore of corporate, so SAM is about 5,000 crore rupees, now within sensible distance of the benchmark and reconcilable by the fact that the benchmark bundles some prescribed wellness testing we deliberately excluded.
Estimate SOM from reach, not from ambition
Anchor share on physical assets, not on a chosen percentage. The chain has 180 collection centres against national leaders operating well over 2,500 to 3,000 collection points, so its national reach is roughly 6 percent, but its share is not national, it is concentrated in 4 states that represent roughly 28 percent of the national SAM, about 1,400 crore rupees. Within those 4 states it is the number two player with roughly 14 percent of organised preventive today, and the plan is to go from 180 to 400 centres plus a home-collection phlebotomist fleet and a dedicated corporate sales team, which supports pushing to about 18 percent by year three. That gives 1,400 crore times 18 percent, about 250 crore rupees of retail preventive revenue, plus roughly 60 crore from corporate contracts, so a year-three SOM near 310 crore rupees.
Cross-check bottom-up and pressure-test the throughput assumption
Rebuild from the outlet: 400 collection centres, each doing about 8 preventive package draws a day on top of its ordinary prescribed-test walk-ins, across roughly 330 operating days, is about 1.06 million checkups, and at 3,200 rupees that is about 340 crore rupees. That sits within about 10 percent of the 310 crore top-down figure, so the two builds corroborate each other. The check also reveals where the answer is fragile: SOM moves far more with checkups per centre per day than with the size of the national market, because dropping from 8 to 6 draws a day takes revenue to roughly 255 crore without any change in market share. That is the single input to validate in diligence, using the existing 180 centres' actual daily package counts split by mature versus recently opened cohorts.
Flex the drivers and convert the number into an investment decision
Two sensitivities matter. Price: aggressive discounting by online-led players on standard panels could pull blended realisation from 3,200 to about 2,600 rupees, taking SOM to roughly 250 crore. Channel: if the corporate book doubles on the back of two or three large IT and BFSI accounts, SOM rises to about 370 crore. So the honest answer is a 250 to 370 crore range around a 310 crore base, versus 150 crore today, roughly a 27 percent revenue CAGR. At about 22 percent EBITDA margin that is roughly 68 crore of year-three EBITDA, and at a mid-teens to 18 times exit multiple typical for organised diagnostics that supports an enterprise value comfortably above the 800 crore entry, so the deal is worth pursuing.
Takeaway: The 1.2 lakh crore TAM justified looking at the theme, but the investable number was a roughly 310 crore year-three SOM built from 400 centres times 8 checkups a day times 3,200 rupees. The sizing exercise also redirected the strategy: value comes from densifying the existing 4 states and winning corporate contracts, not from a national rollout, because SOM proved far more sensitive to throughput per centre than to the size of the national market.
Common pitfalls
- •Confusing stock with flow. India has around 150 million two-wheelers on the road but sells about 18 million a year. Quoting the stock as the market size overstates it by roughly the product life, usually 5x to 10x, and it is the fastest way to lose an interviewer's confidence.
- •Quoting TAM when the decision needs SOM. Saying 'we are in a 1.6 lakh crore market' is technically true and practically useless. In a startup pitch or competition deck this reads as naive or deliberately misleading, and judges specifically probe for the SOM behind a big TAM.
- •Stacking too many filters. Every extra percentage compounds the error. Four filters at 50 percent each leave you with 6 percent of TAM and an answer nobody can audit. Use three or four maximum, and make each one a real business constraint rather than a decorative haircut.
- •Inventing a market share with no anchor. 'We will get 10 percent' is a wish, not an estimate. Ground the share in something observable: the number-three player's current share, your distribution reach relative to the leader, your production capacity, or your share of category marketing spend.
- •Fake precision and no sanity check. Reporting 913.47 crore signals you do not understand your own error bars; every input was rounded, so the output should be 'roughly 900 crore' with a range. And always ask whether the answer is physically possible before you say it, because candidates regularly produce numbers implying every household buys four fridges a year.
- •Doing the arithmetic silently. The interviewer cannot grade a number, only a logic chain. Working in your head and announcing an answer wastes the entire exercise, because the assumption chain is the actual deliverable.
Interview tips
- •Write the formula on paper before touching any number and show it to the interviewer. It lets them correct your structure early, which is the cheapest possible correction, and it makes the maths that follows almost mechanical.
- •Use round numbers you can divide in your head: 1.4 billion people, 300 million households, 5 people per household, clean price points. Nobody has lost an offer for using 1.4 billion instead of 1.42 billion, but plenty of candidates freeze doing long division under time pressure.
- •Say every assumption out loud with a one-line justification and invite challenge: 'I am assuming a 10-year vehicle life; if you have a better figure I will use it.' That turns a monologue into a dialogue and shows you know which inputs are soft.
- •Always give a base case plus a range driven by the two assumptions that matter most. Interviewers reward candidates who can say what the answer is sensitive to; that is the difference between a calculator and a consultant.
- •If your number looks absurd, say so and fix it in front of them. Catching your own error and tracing it to the wrong input is a genuinely positive signal. Defending an obviously wrong number is the worst possible outcome.
- •End with the so-what, not the number. Tie the size back to the decision: is the prize big enough, which segment should be attacked first, and what one input would you verify with real data before committing capital.
Test yourself
Best video explainers

McKinsey Case Interview: Market Sizing Walkthrough
Management Consulted
A full walkthrough of a market sizing question under real interview conditions, from ex-consultants who coach for MBB. Best single video for hearing how the logic chain should sound out loud.

Market sizing case interview: airport rental (w/ McKinsey Engagement Manager & BCG Consultant)
rocketblocks
A live mock with an actual McKinsey Engagement Manager and a BCG consultant, including their feedback afterwards, so you hear exactly what was being graded while the candidate spoke.

The Only 3 Market Sizing Techniques You Need For Case Interviews
Prepmatter
Compact taxonomy of the population-based, household-based and supply-side builds, so you can pick the right approach in the first thirty seconds instead of guessing.

Understanding TAM SAM SOM
StartUpNV
Clean conceptual explanation of the three nested circles from an accelerator's point of view. Useful for the startup and pitch-deck framing rather than the interview framing.

Advanced market sizing case interview example & framework | Oliver Wyman & L.E.K. case interview
The Thinksters - Career in Management consulting
A harder, multi-segment sizing question of the kind Oliver Wyman and L.E.K. actually ask. Watch this once the basic build feels comfortable.
Go deeper
Market Sizing: The Ultimate Guide (inc framework and cheat sheet)
IGotAnOffer
The most complete free consulting-specific guide: a four-step method, a cheat sheet of population and household figures worth memorising, and worked examples in MBB style.
21 market sizing questions with answers (McKinsey, BCG, etc.)
IGotAnOffer
Twenty-one real sizing prompts with full solutions, graded medium to hard. The best free practice set once you know the framework and need reps.
TAM, SAM & SOM: What Do They Mean & How Do You Calculate Them?
HubSpot
The clearest plain-English definition of the three layers, with explicit formulas and a fully worked consumer-brand example. Good first read if the concept is new.
TAM, SAM & SOM: How To Calculate The Size Of Your Market
Antler
An early-stage VC's view of how sizing is judged in a pitch, including how investors sniff out inflated TAMs. Directly useful for B-school competition decks.
Market Sizing: Step-By-Step Guide with Examples
Hacking the Case Interview
Detailed comparison of top-down versus bottom-up with multiple fully worked examples and the common arithmetic traps, written specifically for case interview prep.
Now use it on a real case
Reading a framework isn't the same as applying it under pressure. Practise with an AI interviewer that pushes back.
Practise a case free