05.2 · Industry analysis¶
Why this matters: the industry a company sits in sets the ceiling on its returns before management does anything. Over long periods, the spread in profitability between industries is as large as the spread between the best and worst companies within them. A mediocre company in a structurally attractive industry (Indian paints, exchanges, asset management) has often made investors more money than an excellent company in a bad one (airlines, telecom, commodity chemicals). Analyse the pond before the fish.
Learning objectives — after this lesson you can:
- Apply Porter's five forces to an Indian industry with evidence, not adjectives, and translate the result into an expected range of returns on capital.
- Describe industry structure (fragmented → consolidated), life-cycle stage and the profit pool along a value chain.
- Use and critique TAM/SAM/SOM estimates.
- Explain how regulation (PLI, tariffs, licensing, price controls) creates or destroys industry profitability.
- Identify substitutes and disruption threats and place them on a time horizon.
- Produce a one-page industry map for pumps and motors, and for vehicle finance.
Prerequisites: 05.1 Business models & unit economics · Time: ~90 min
1. Why industry comes first¶
Return on capital in an industry is determined by how much of the value created reaches producers rather than customers, suppliers or new entrants. Three empirical regularities:
- Industry ROIC is persistent. Industries with high returns twenty years ago mostly still have them (branded consumer goods, software, exchanges); industries with low returns mostly still have them (airlines, steel, contract construction). Structure changes slowly.
- Within-industry dispersion is also persistent — the best firm in a bad industry can still be good (IndiGo in airlines, Shree Cement in cement) — but it is fighting the structure, and the structure usually wins in the downturn.
- Growth and profitability are different axes. Fast-growing industries attract capital, which competes away returns (05.4). Solar modules, EV two-wheelers and quick commerce have grown 30–100% a year with almost nobody earning a return on capital.
So the questions, in order: How does this industry share its profits? Where in its life is it? Where is the profit pool along the chain? What could change the structure?
2. Porter's five forces — done with evidence¶
Michael Porter's framework (1979) says industry profitability is set by five competitive forces. The framework is famous and mostly misused: analysts label each force "high/medium/low" and move on. Instead, for each force, ask what evidence would show it, and look for that evidence in the numbers.
| Force | The question | Evidence to look for | Numbers that reveal it |
|---|---|---|---|
| Rivalry among existing competitors | Do firms compete on price or on something else? | Number and size distribution of players; capacity vs demand; product differentiation; exit barriers; fixed-cost intensity | Industry gross margin trend; price realisation vs input cost; market-share stability; ROIC dispersion |
| Threat of new entrants | How hard is it to start competing? | Capital needed; regulation/licences; distribution access; brand; scale economies; switching costs | New entrants' share gains over 5 years; capex per unit of capacity; time to profitability for entrants |
| Bargaining power of buyers | Can customers force prices down? | Buyer concentration; product standardisation; buyer's cost of switching; buyer's own margins | Receivable days; price-cut history; customer concentration disclosures |
| Bargaining power of suppliers | Can suppliers force costs up? | Supplier concentration; uniqueness of input; ability to substitute; forward-integration threat | Gross-margin volatility vs input-price volatility; payable days |
| Threat of substitutes | Can the need be met another way? | Price-performance of alternatives; switching costs; trend in adoption | Volume growth vs GDP; share of wallet moving |
2.1 Four Indian industries through the five forces¶
| Cement | Domestic airlines | Decorative paints | Pumps & motors | |
|---|---|---|---|---|
| Rivalry | High in fragmented regions, moderate where 2–3 players dominate; regional pricing discipline comes and goes; consolidation since 2022 (Adani buying ACC/Ambuja; UltraTech and Ambuja buying smaller players) has concentrated the top | Brutal: near-identical product, high fixed costs, capacity added in good years, price the only lever; IndiGo's cost leadership lets it win the price war others cannot survive | Low: top player has held ~50% share for decades; competition on distribution and service, not price — until Grasim's Birla Opus (2024) began buying share with discounts and dealer incentives | Moderate: a few national brands (organised) plus a large unorganised segment; competition on dealer network and brand in agri; on price in tenders |
| Entrants | Hard: ₹1,000+ Cr per million tonnes, limestone leases, logistics; but deep-pocketed conglomerates can and do enter by acquisition | Easy to start (lease aircraft), hard to survive; a new airline every few years, most fail | Hard historically (distribution takes decades); but a ₹10,000 Cr entrant with a distribution business (Grasim) showed money can buy the network faster than assumed | Moderate: low capital for basic pumps (hence unorganised sector); brand and dealer network take years |
| Buyers | Fragmented (contractors, individual builders) → weak, except large infra buyers | Fragmented consumers, but perfectly price-transparent via OTAs → strong in effect | Fragmented (painters, homeowners) → weak; painter loyalty programmes lock in the influencer | Fragmented farmers → weak; state solar agencies → strong (tenders, slow payment) |
| Suppliers | Coal/petcoke, power, limestone: commodity, some captive → moderate | Aircraft lessors (2 manufacturers, oligopoly of lessors), fuel (ATF taxed by states), airports → strong | Crude-derivative raw materials (titanium dioxide, solvents): global commodities → moderate; pass-through with lag | Copper, steel, solar panels: commodities → moderate; promoter-owned casting supplier is a governance question, not a power question |
| Substitutes | Few (steel, prefab at the margin) | Rail (Vande Bharat on short routes), video calls for business travel | Few (wallpaper, textures marginal) | Solar pumps substituting diesel/grid pumps — a substitution within the industry that changes the customer (state, not farmer) |
| Structural ROIC | Cyclical: 8–20% depending on cycle; mid-cycle ~12–15% for efficient players | Structurally below cost of capital for the industry; one or two winners earn returns in good years | 25–40% sustained for decades — now being tested | 12–20%; mid-teens typical |
Note how each judgement points to a number to check: cement regional pricing → realisation per tonne; airline rivalry → yield (revenue per seat-km) vs CASK; paints → market-share and gross-margin trend since FY25; pumps → receivable days by segment. Module 08 does this sector by sector.
India notes
Indian industries add a sixth force that Porter did not name: the state. Government is often the largest buyer (defence, railways, solar, roads), the price-setter (drug price control under the DPCO, fertiliser subsidies, ATF taxation, spectrum pricing), the licensor (banking, insurance, telecom, mining leases), and the competitor (PSU banks, oil marketing companies). Any five-forces analysis of an Indian industry needs a line for it. The Adani–Hindenburg and Vodafone Idea cases (I9, I10) are, among other things, about the state as a force.
3. Industry structure and concentration¶
Describe structure with the number of meaningful competitors and the share of the top few. A common proxy is the Herfindahl–Hirschman Index (HHI) — the sum of squared market shares (in %):
| Structure | Top-3 share | HHI (approx.) | Pricing behaviour | Indian examples |
|---|---|---|---|---|
| Fragmented | < 30% | < 500 | Price-taking; margins thin; consolidation is the opportunity | Logistics, diagnostics, jewellery (pre-2015), restaurants, unorganised pumps |
| Consolidating | 30–60% | 500–1,500 | Leaders gain share and pricing; laggards exit or sell | Cement, tiles, hospitals, apparel retail |
| Oligopoly | 60–90% | 1,500–3,000 | Price discipline possible but fragile; capacity decisions matter | Telecom (3 players), paints (top 4), two-wheelers, airlines (2 dominate) |
| Near-monopoly / duopoly | > 90% | > 3,000 | Pricing power, regulatory attention | Stock exchanges, depositories, commodity exchanges, credit bureaus, IEX in power exchange |
shares = {'A': 50, 'B': 18, 'C': 12, 'D': 8, 'others': 12} # hypothetical paints-like structure
hhi = sum(s ** 2 for k, s in shares.items() if k != 'others') + 6 * 2 ** 2 # treat 'others' as six 2% firms
print(hhi) # 2500 + 324 + 144 + 64 + 24 = 3056 → concentrated
Two dynamics to watch:
- Consolidation from fragmented to concentrated is one of the most reliable sources of long-run returns (organised share gains in jewellery after GST and demonetisation; hospitals; cement). The question is whether the leader gains share profitably or by buying it.
- De-concentration by a well-funded entrant (Jio in telecom 2016; Grasim in paints 2024; quick commerce vs modern retail 2023–) is how oligopoly profits get destroyed. The entrant's balance sheet and patience matter more than its product.
4. Life cycle¶
| Stage | Growth | Profitability | Capital needs | Valuation trap |
|---|---|---|---|---|
| Emerging | Very high, from a small base | Negative or volatile; unit economics unproven | High, funded by equity | Paying for TAM, not for economics (2021 new-age IPOs) |
| Growth | High; competitors multiply | Improving for leaders; shake-out begins | High; capacity races | Extrapolating growth past the shake-out (solar modules 2023–25) |
| Mature | GDP-like | Stable; determined by structure | Maintenance capex; cash returned | Mistaking a cyclical upswing for renewed growth |
| Decline | Negative | Can be high for survivors (harvest mode) | Minimal | "Cheap" P/E on shrinking earnings (value trap) |
Pumps are a mature industry growing with rural incomes, electrification and irrigation (mid-single digits in volume) with a growth sub-segment (solar) inside it. Vehicle finance is mature with a cyclical overlay (the CV cycle). Knowing the stage tells you which mistakes to guard against.
5. Profit pools along the value chain¶
A profit pool map shows where industry profit accumulates, versus where revenue accumulates. They differ. In Indian two-wheelers, for instance, OEM manufacturing carries most revenue, but financing, spares and insurance carry a disproportionate share of profit; in pharma, the distributor handles the most rupees and keeps the least.
Method: list each stage; estimate its revenue and operating margin from listed players' segment data; multiply. Then ask why the pool sits there (the five forces at that stage) and whether it will move (regulation, technology, integration). Kaveri's chain from 05.1: profit pool sits with the OEM brand in agri pumps; in solar it is shared with panel makers and squeezed by the tendering state.
6. TAM, SAM, SOM — and why TAM slides mislead¶
- TAM (total addressable market): everyone who could conceivably buy the category.
- SAM (serviceable addressable market): the part reachable with the company's product, geography and channel.
- SOM (serviceable obtainable market): the share realistically winnable given competition.
Investor presentations quote TAM ("₹50,000 Cr pump market"); what matters is SOM and the rate at which it can be converted. Three tests for any TAM claim:
- Bottom-up reconciliation. Units × price × frequency. India has roughly 140 million operational land holdings; if ~25% use owned pumps with a 10-year replacement cycle at ~₹9,000, the annual replacement demand is ~₹3,150 Cr — a very different number from a top-down "irrigation market" figure. (The inputs are illustrative; do this with census and industry-body data when it matters.)
- Who already serves it. A "₹50,000 Cr market" that is 60% unorganised is a ₹20,000 Cr organised market until the unorganised share actually moves.
- Time to capture. Growing from 5% to 15% share of a mature category has taken the best Indian consumer companies a decade or more.
7. Regulation as an industry force¶
| Instrument | Creates profit for | Destroys profit for | Examples (verify current status) |
|---|---|---|---|
| PLI (production-linked incentives) | Early, scaled domestic manufacturers (electronics, solar, pharma APIs, ACC batteries) — 4–6% of incremental sales for 5 years | Late entrants; everyone once capacity overshoots | Electronics assembly (Dixon and peers) scaled on PLI; solar-module PLI drew dozens of entrants |
| Tariffs / duties / quality-control orders (BIS) | Domestic producers protected from imports | Downstream users paying more | Solar cells/modules (basic customs duty since 2022; ALMM list restricting non-approved modules); steel safeguard duties |
| Licensing | Incumbents (banking, insurance, exchanges, telecom spectrum) | Would-be entrants | RBI's on-tap licences opened SFBs but universal-bank licences remain rare |
| Price control | Nobody directly; caps returns | Producers of controlled goods | DPCO ceiling prices on essential medicines; fertiliser subsidy regime; state-regulated ATF taxes; power tariffs |
| Mandates / demand creation | Suppliers of the mandated product | Suppliers of the displaced one | Smart-meter mandate (RDSS) for meter makers; PM-KUSUM for solar pumps (Kaveri's segment); BS-VI for emission-control component makers |
| Regulator as competitor's referee | Whoever the rule favours | The other side | SEBI's 2024–25 F&O measures cut retail derivative volumes (exchanges, brokers) — check the latest circulars |
Regulatory profit is real but rented, not owned: a mandate can be withdrawn (export incentives), a subsidy delayed (state solar payments — Kaveri's receivables are a regulatory-risk exposure in disguise), a duty reversed. Model it with a shorter fade and a higher discount than brand-based profit.
8. Substitutes and disruption — on a timeline¶
Disruption analysis fails in two directions: ignoring a substitute until it has taken half the market (Nokia, case G7), or pricing a substitute as if it were already here (EV two-wheelers in 2021 at valuations assuming 50% penetration). Put every substitute on a grid:
| Substitute | Price-performance today vs incumbent | Adoption barrier | Plausible share in 5 / 10 years | Effect on incumbent's unit economics |
|---|---|---|---|---|
| Solar pumps vs grid/diesel pumps | Cheaper to run, more expensive to buy; subsidy closes the gap | Subsidy disbursement, financing, state tenders | Material in off-grid states; slow elsewhere | Changes the customer (state), the margin (tender) and the working capital (slow) — Kaveri is both incumbent and substitute |
| Quick commerce vs modern retail | Convenience premium; unit economics unproven at scale | Density outside top cities | Meaningful in metros | Pressures traffic growth for DMart-type formats (case I13) |
| Generative AI vs IT services labour | Rapidly improving | Client trust, integration | Uncertain but large | Threatens the headcount-linked revenue model (08.2) |
| UPI/fintech vs bank fee income | Free to consumer | None | Already dominant in payments | Removed a fee pool; shifted competition to deposits and lending |
The discipline: name the substitute, state the current price-performance gap, state what would close it and when, and put a probability on it — then check whether the current valuation already assumes the answer.
9. Industry map — one page, every time¶
Before valuing any company, produce this table. Here it is for Kaveri's industry:
| Item | Pumps & motors (India) |
|---|---|
| Size and growth | Mature; volume growth mid-single digits ex-solar; solar pumps growing fast on state schemes (illustrative — check industry-body data for current figures) |
| Structure | Organised oligopoly (a handful of national brands) + large unorganised tail; consolidating slowly toward brands via BIS/quality norms and dealer financing |
| Five-forces summary | Rivalry moderate; entry moderate; farmers weak buyers, states strong buyers; commodity suppliers; solar as internal substitute |
| Profit pool | OEM brand in agri/industrial; shared and squeezed in solar tenders |
| Regulation | PM-KUSUM demand creation; BIS standards; state payment discipline the key risk |
| Life-cycle stage | Mature with a growth sub-segment |
| Structural ROIC range | 12–20%; Kaveri at 12% in FY26 sits at the bottom of the range |
| What would change the structure | A large conglomerate entering via acquisition; a state scheme redesign (direct farmer subsidy rather than tenders would restore the OEM's power); copper price regime |
And for Nirmal's: vehicle finance is a mature, cyclical, regulated (RBI scale-based) oligopoly-with-a-long-tail where the state variable is the CV cycle and the forces that matter are cost of funds (supplier power of banks and bond markets), credit cost (buyer quality) and regulatory capital. 08.1 builds it out.
Trader's lens
Industry structure is the regime; company analysis is the signal within the regime. Just as a vol trader first asks whether the market is in a high-vol or low-vol regime before judging a single name's implied vol, ask whether an industry is in a concentrating, stable or price-war regime before judging one company's margin. Regime changes (Jio 2016, Birla Opus 2024) re-price every name at once, and the first sign is usually a capex or entry announcement, not an earnings miss.
Common mistakes
- Labelling forces high/medium/low with no evidence.
- Treating a large TAM as a reason to own a company.
- Assuming today's oligopoly discipline is permanent — check the last entrant and the next one's balance sheet.
- Ignoring the state as a force in India.
- Confusing industry growth with industry profitability.
- Pricing disruption as either impossible or already complete.
Key terms¶
| Term | Meaning |
|---|---|
| Five forces | Porter's framework: rivalry, entrants, buyer power, supplier power, substitutes |
| Industry structure | The number and size distribution of competitors; fragmented → consolidated |
| HHI | Herfindahl–Hirschman Index: sum of squared market shares; > 2,500 is highly concentrated |
| Consolidation | The process by which share moves to fewer, larger players |
| Life cycle | Emerging → growth → mature → decline, each with its own economics |
| Profit pool | The distribution of an industry's total profit across the stages of its value chain |
| TAM / SAM / SOM | Total addressable / serviceable addressable / serviceable obtainable market |
| PLI | Production-Linked Incentive: government subsidy tied to incremental domestic output |
| DPCO | Drugs (Prices Control) Order: ceiling prices on essential medicines |
| ALMM | Approved List of Models and Manufacturers for solar modules used in government-backed projects |
| Price war | Competition in which the dominant lever is price cuts, usually triggered by a well-funded entrant or excess capacity |
| Substitute | A different product or technology that meets the same customer need |
| Disruption | A substitute whose price-performance improves fast enough to displace incumbents |
Check your understanding¶
- Why can two industries with the same 10% revenue growth have ROICs of 8% and 30%?
Answer
Growth is demand; ROIC is how the value created is divided. If entry is easy and products are undifferentiated, growth attracts capacity and competition passes the value to customers (8%). If entry is hard and buyers are fragmented, incumbents keep it (30%). Structure, not growth, sets the return.- Kaveri sells agricultural pumps through dealers and solar systems through state tenders. Rate buyer power for each and name the number that reveals it.
Answer
Agri: buyers fragmented (weak power) → receivable days ~60 for dealers, stable gross margins ~40% (fictional segment detail). Solar: buyers concentrated (strong power) → tender pricing (22–24% gross margin), receivable days 6–12 months, ₹62 Cr overdue > 6 months, BGs of ₹96 Cr.- Compute the HHI for an industry with shares 35, 30, 20, 10 and 5. Is it concentrated?
Answer
1225 + 900 + 400 + 100 + 25 = 2,650 — highly concentrated (> 2,500) by the usual antitrust convention; an oligopoly where pricing discipline is possible.- A presentation claims a ₹1 lakh Cr TAM for a category in which the company has ₹500 Cr of revenue. What three questions do you ask?
Answer
(1) How was the TAM built — bottom-up units × price, or top-down? (2) What part is serviceable by this company's product, geography and channel, and what part is already served by others including the unorganised sector? (3) How fast has any company in this category ever gained share, and what would it cost in capital and margin to do so?- Give an example of regulation creating an industry profit pool in India and explain why that profit deserves a shorter fade in a DCF.
Answer
PLI for electronics assembly or the smart-meter mandate: the subsidy or mandate creates demand and margin for early scaled players. It deserves a shorter fade because the policy has an end date or can be amended, and because it attracts entrants who compete the excess away by the time it expires.- What would have been the right question to ask about Indian paints in 2023, before Birla Opus launched?
Answer
"Who could afford to buy the distribution network rather than build it?" The barrier to entry was assumed to be time (decades of dealer relationships), but a ₹10,000 Cr commitment from a conglomerate with an existing building-materials distribution arm converted time into money. Structural analysis should ask what a well-funded entrant could do, not only what past entrants did ([case I2](../13-case-studies/india/02-asian-paints-compounder.md)).Go deeper¶
- Michael Porter, "The Five Competitive Forces That Shape Strategy", Harvard Business Review (2008 update) — the author's own corrective to the high/medium/low habit.
- Bruce Greenwald & Judd Kahn, Competition Demystified — argues that barriers to entry are the only force that really matters; a useful simplification.
- CRISIL / ICRA / CARE industry research summaries and the "Industry Overview" chapter of any recent DRHP (written by CRISIL or Frost & Sullivan) — free, sourced Indian industry data.
- Edward Chancellor (ed.), Capital Returns — the supply-side view, developed in 05.4.
← Previous: 05.1 Business models & unit economics · Module index · Next: 05.3 Moats & competitive advantage →