NISM RA Chapter 6 — Industry Analysis: Porter’s Five Forces, PESTLE, BCG and the KPIs that matter
This is my note on Chapter 6 of the NISM-Series-XV Research Analyst workbook — “Industry Analysis.” This is the second leg of the top-down framework (economy → industry → company) and, at 8 marks, one of the five heavyweight chapters of the exam. It’s also, honestly, one of the most useful chapters for real-world thinking: it’s a toolkit for answering the question “is this a good industry to be in at all?”
Why industry analysis, and what exactly is an “industry”?
Economic analysis (Chapter 5) tells us whether the economy will grow or decline. Industry analysis tells us how each industry would be impacted under those conditions, and how the players in it are likely to react.
First, three words that get used loosely but mean different things:
An industry is a grouping of firms offering the same or similar products/services to serve the same customer need — the auto industry, insurance industry, steel, telecom, entertainment. A business sector is a broad category of similar and related industries — Financial Services (insurance + banking + credit rating + investment banking), or Industrial Metals (steel + copper + aluminium). An economic sector is a segment of the economy contributing to national income — agriculture, manufacturing, public utilities, services.
The questions industry analysis must answer: What industry does the company actually operate in? How cyclical is it? What’s the potential market size? How has it performed and what drove that? How intense is competition, and what does that do to pricing power? What secular trends are at work, and are they causing value migration? Any regulatory headwinds or tailwinds?
Defining the industry — harder than it sounds
The very first step is defining the industry — and it’s genuinely tricky. Standard classification systems exist — India’s National Industry Classification (NIC), the Global Industry Classification Standard (GICS), America’s NAICS — but they may not capture the substance. NIC, for instance, has a single classification for passenger car manufacturing — putting entry-level compact makers and luxury manufacturers in the same bucket, though their dynamics are completely different.
The workbook’s brilliant example is PVR Cinemas. On one hand PVR competes with satellite channels and OTT platforms (Netflix, Hotstar) for audience attention. On the other, cinema competes with live theatre, live performances, and sporting leagues. Define PVR narrowly as a “cinema exhibitor” and you risk overlooking those competitors; define it broadly and you must choose — entertainment media? Out-of-home (OOH) entertainment? The whole media and entertainment industry? Each broader group has segments with their own idiosyncrasies that aren’t strictly comparable. And this matters enormously later, when you compare financials, pick peer firms, and run valuations.
The camera industry is the other cautionary tale: cameras were once a standalone product, then phones with built-in cameras killed entry-level digital cameras, and today high-end phones are eating mid-tier cameras. Define “cameras” as a standalone industry and you miss the biggest competitive force entirely.
The principle: classify a company by its common driving factors. If PVR’s business is driven by people’s propensity to spend time outside their home, it belongs to out-of-home entertainment. If it’s driven by people’s propensity to consume movie content, it belongs to entertainment media. The driver defines the industry.
For reference, GICS — widely used by global investors — is a four-tier hierarchy: 11 sectors, 25 industry groups, 74 industries, and 163 sub-industries.
Industry cyclicality — three categories
Economic cycles affect all businesses, but not equally. Industries fall into three buckets:
Defensive industries — products with low income elasticity: demand barely moves when incomes rise or fall. Minimal impact from economic cycles; their prospects are shaped only by secular trends. Examples: food, agricultural inputs, healthcare.
Semi-cyclical industries — sales grow in expansions and decline in recessions, but a base level of demand keeps sales reasonably healthy even in downturns. Example: consumer durables.
Deep cyclical industries — extreme cyclicality, driven by economic and/or commodity cycles. Capital goods and steel are the classic cases: in recessions their sales collapse as companies shelve expansion plans, but they see massive growth at the first signs of recovery as pent-up demand converts into orders.
Market sizing — top-down and bottom-up
Under-penetrated industries have headroom and high growth potential; mature industries see growth rates decline. So analysts study both the current and potential size of the market. Both are hard: current size is difficult to measure when there are many unorganised players or private companies with no public information, and potential size involves assumptions that can go wrong. Studying past trends supplements the analysis.
Two approaches to sizing:
Top-down — start from macro factors and work down to the industry. The workbook’s example: to size a medical therapy market, (i) find how many patients underwent the therapy, (ii) find the average expenditure per patient, (iii) multiply.
Bottom-up — start from individual companies and aggregate. Same example: take the revenue of all hospitals providing that therapy, work out what proportion came from it, and add it up.
Keep this section in mind — the exam’s own sample question for this chapter is a market-sizing calculation (more on that at the end).
Secular trends and their drivers
Secular trends (from Chapter 5: long-term, once in 7–10 years, causing displacement) are driven by:
- Technological advancement — new production methods, alternatives to existing products, new consumption patterns. Examples: horizontal drilling enabled shale gas and permanently lowered average hydrocarbon prices; digital cameras made film rolls obsolete, then mobile cameras made entry-level digital cameras obsolete; better batteries are driving EVs over fossil-fuel vehicles.
- Change in income levels — as economies grow, disposable incomes rise and consumers shift from cheaper alternatives to premium products.
- Demographic changes — age, gender, ethnicity composition shifts change consumption. Japan’s ageing population reduced per capita beer consumption.
- Culture, tastes and preferences — usually gradual, occasionally sudden (revolutions, pandemics). Western culture’s influence in Asia raised demand for western clothing.
- Regulation and government policy — GST implementation created efficiencies in logistics, which reduced demand for new commercial vehicles.
When a secular trend emerges, it causes value migration — and often an inflection point in the business life cycle of affected industries.
Value migration — four directions
Value migration happens when a phenomenon creates long-term advantage for some entities at the cost of others: the gainer’s shareholder value rises, the loser’s falls. The entity that adopts new technology, captures changing customer preferences, or creates disruptive innovation wins; laggards lose. It happens in four directions:
Geographic migration — a trend helps one country over others. Shale gas shifted value to US oil exploration at the cost of other producers (the US had huge shale reserves and lower extraction costs). Globalization shifted value to low-cost manufacturers like China.
Cross-industry migration — one industry gains at another’s cost. Digital cameras destroyed the film rolls industry — Kodak shut down.
Migration across the value chain — one end of the chain gains at the other’s expense. Intense competition in Indian telecom crushed mobile service prices and telecom companies’ shareholder value — but the resulting boom in digital consumption handed value to digital content providers.
Migration between companies in the same industry — disruption creates or destroys a competitive advantage. Before 2G, Blackberry dominated corporate mobile because its devices were the most efficient for email. 2G let new smartphone makers offer the same — Blackberry’s value declined while Apple’s rose.
Spotting value migration early helps an analyst enter winning businesses ahead of time and exit losing ones.
The business life cycle — five stages
Every industry transitions through stages from emergence to decline:
a) Pioneering — the industry is taking shape; the concept is being proven or just proven; adoption is narrow. b) Growth — the concept is viable, customers adopt en masse, growth is steep. c) Matured — the industry has existed long; most potential customers already use the product; few new customers remain. d) Declining — changed preferences or new technology replaces the product; the industry loses to alternatives. e) Reinvention and revival — rare, but possible: the product finds a new use in a different application and starts a fresh cycle.
The workbook’s Indian example: call taxis — born in the late 20th/early 21st century, they grew tremendously for a decade on rising phone penetration and incomes, then declined sharply with the advent of app-based aggregators.
Each turn of the cycle displaces the economy: labour must reskill and move, capacity must be redirected. And a nuance: not every secular trend maps onto a life-cycle displacement — shale gas brought a long-term decline in crude prices without displacing the goods consumed. Secular trends give the analyst the long-term trajectory; for medium- and short-term, you go back to cyclical trends.
Framework 1: Porter’s Five Forces
Industry landscaping — studying all the players and their interactions (competitors, customers, suppliers, regulators, emerging technologies) — has established frameworks, and Porter’s is the most famous, developed by Dr. Michael Porter in 1979. It analyses an industry’s attractiveness through five forces — three horizontal (threat of substitutes, threat of new entrants, threat of established rivals) and two vertical (bargaining power of suppliers, bargaining power of customers).
Some industries have structures where these forces make good profits nearly impossible — aviation, telecom, retail, textile, sugar, power. The model calls these unattractive from an owner’s perspective. Others — education, FMCG, healthcare, IT — enjoy big margins over long periods because the forces are weak there: attractive industries.
The workbook quotes Warren Buffett twice here, and both are worth carrying: “When a management with a reputation for brilliance tackles a business with a reputation for bad economics, it is the reputation of the business that remains intact.” And: “Should you find yourself in a chronically leaking boat, energy devoted to changing vessels is likely to be more productive than energy devoted to patching leaks.” The message: if the economics of a business are bad, even great management can’t save it — move your capital.
Industry rivalry. High rivalry (aviation, telecom) means lower pricing power and lower incomes — this exact relationship is one of the workbook’s sample questions. Rivalry is high if: many companies exist in the segment; products are similar with little differentiation; everyone competes on the same levers (lower prices, longer credit); and customer switching costs are low or nil. Indian telecom is the case study — many players per circle, high pre-paid revenue share, price-sensitive subscribers who migrate easily. Charlie Munger’s line applies: “If the only basis of competition in an industry is pricing, it is a self-defeating business.” How can a company in such an industry still deliver returns? Aggressive innovation, internal and external: efficient operations (less working capital, faster turnaround, cheaper capital) inside; differentiated products, strong brands, unique positioning outside. Micromax grabbing 10% market share within three years of launch — special features at competitive prices — is the example.
Threat of substitutes. Innovations make existing products irrelevant: telegram lost to SMS, cement pipes to steel and plastic, typewriters to computers, radios to iPods and mobiles. The most famous: digital photography destroying Kodak’s film business — Kodak’s own engineers invented the first digital camera, but the company sat on it to protect the existing business, and eventually filed for bankruptcy. The threat is high if substitutes offer equal or better experience (quality, price, ease) and switching costs are low. Some industries face essentially no substitute threat — power, healthcare, education (modes of delivery change; the need doesn’t). And substitutes can take time: solar and LED are cheaper to run but need upfront capex, which slows adoption — until technology makes them cheap enough.
Bargaining power of buyers. Buyers dictate prices when there are many sellers with similar products; much less so when sellers are few. It’s a function of the number of buyers and sellers and product differentiation — plus the buyer’s size and profile (a government buyer changes the equation). Buyer power is high if: competitive intensity is strong, products are standardized, and close substitutes exist with low switching costs.
Bargaining power of suppliers. The workbook’s everyday contrast: nobody bargains over hospital or school fees (supplier power absolute), but everyone bargains with the vegetable vendor (supplier power nil). Indian sugar: input cost depends on the government-decided sugarcane price after considering farmers’ views — strong supplier power. Crude oil: OPEC controls supply by adjusting output to maintain desired price levels — pricing power on oil. Supplier power is high if: suppliers are few and buyers many; the inputs are critical; industry competition is low with differentiated products; no substitutes threaten the product; and switching costs are high.
Barriers to entry (threat of new entrants). An industry protected from new competitors is attractive to owners. Barriers include licensing, required competence (IT products), capital (oil and gas), distribution reach (banking), and customer brand loyalty (toothpaste, coffee). This is Buffett’s moat: “In business, I look for economic castles protected by unbreachable moats.” High-barrier businesses have pricing power — they can charge a premium without losing customers. Barriers are high if: heavy licensing is required; patents and copyrights block entry; huge investments in specialized assets are needed; and strong brands, distribution networks, execution capabilities and customer loyalty already exist.
Putting it together — the attractive industry has: low competition, high entry barriers, weak supplier power, weak buyer power, and few substitutes. Such industries have strong pricing power and high margins. The workbook’s worked example is education in India: ample and growing demand, students with little bargaining power, recession-proof, multiple permissions needed to start an institute (high barriers), few quality institutions (low competition), teaching staff hired at management-decided salaries (weak supplier power), and competing courses that don’t inspire student confidence (few substitutes).
Framework 2: PESTLE analysis
PESTLE stands for Political, Economic, Socio-cultural, Technological, Legal and Environmental analysis (some versions add Ethics and Demographics — STEEPLED). It’s used especially by businesses evaluating countries for offshore expansion — it analyses the external environmental factors influencing a business.
Political — political structure (communist vs capitalist priorities), stability of legislation and policy, low corruption and bureaucracy, communal peace, press freedom, ease of doing business, healthy public finances and consistent fiscal policy supporting infrastructure.
Economic — GDP growth and its contributors, inflation and interest rates, import/export composition, balance of payments and exchange rate stability, monetary and fiscal health, developed financial markets, taxation, dependence on other countries for natural resources like oil, central bank policy, forex reserves. (The workbook’s sample question: forex reserves, RBI’s monetary policy, and resource dependence are ALL economic factors.)
Socio-cultural — demographics (age, education, skills, health), social values, lifestyles. India’s young population offers different opportunities than Japan’s ageing one. Cultural change drives economic change: nuclear families and working spouses in metros raised demand for day care, packaged food, and restaurant chains; competitive pressure on the young is producing lifestyle diseases — itself an opportunity set for new businesses.
Technological — R&D push, technology-savvy population, institutions and infrastructure driving technology initiatives.
Legal — a legal architecture that supports and protects business; consistency without arbitrary changes. The workbook cites the Vodafone retrospective tax case and the cancellation of telecom and mining licenses as examples that discomforted investors. Transparency and enforcement matter.
Environmental — policies on pollution control, waste disposal, mining, protection of flora and fauna, rehabilitation of displaced residents. Ambiguity here leads to operational and legal trouble later. As India pushes to become a manufacturing hub, environmental issues are emerging as a deterrent for some investors.
Not all factors affect all companies equally — evaluating each factor’s criticality for the specific business is the essential step.
Framework 3: The BCG matrix
While Porter’s and PESTLE analyse industries and economies, the Boston Consulting Group’s matrix looks at the segments of a business as a portfolio, through two lenses: market growth and cash generation. Four boxes:
Stars — rapidly growing market, large market share; generates increasing cash over time. The workbook’s example: Cera Sanitaryware.
Cash Cows — low growth prospects (so low investment needed to hold share) but steady cash generation from an established position. Examples: Navneet Publications — books and notebooks, predictable steady growth, strong brand, deep distribution; all it must do is update content when syllabi change and collect the cash. Colgate is the other example.
Question Marks — fast-growing market but low market share. The right strategy and investment can grow share — but they risk consuming cash in the attempt and ending up inadequate generators. The workbook’s paired examples: Tata Nano (a question mark that failed) and Bajaj Pulsar (one that succeeded).
Dogs — slow growth, intense competition, low cash generation.
Framework 4: SCP analysis
Structure–Conduct–Performance analysis looks at an industry in three layers, and can be seen as an extension of Porter’s model that adds the financial dimension.
Structure — competitive intensity (number of players), concentration and dominance, organised vs unorganised split, substitute threats, supplier-buyer equations, and existing or potential backward/forward integration. (The workbook’s sample question: growth rate, relationships among players, and market size are ALL part of structure.) This overlaps with Porter’s and SWOT.
Conduct — how the structure shapes behaviour on pricing and innovation. Every industry has its peculiarities: umbrellas and raincoats are seasonal, FMCG and pharma are year-round; high interest rates deter real estate and four-wheeler purchases but barely touch two-wheelers; mining is commoditized while FMCG and white goods sell on brand power. Analysts ask: is the business cyclical, and driven by what (commodity prices, rates, currency, global factors)? Is it skill-intensive, and is talent available? How do customers choose? How will technology affect it? How dependent is it on government policy?
Performance — the financials the structure and conduct produce: RoE, RoIC, WACC and the rest. High return on capital/equity businesses are the long-run wealth creators. (The detailed ratios come in the quantitative chapters.)
Industry KPIs — the metrics that actually matter
Every industry has its own key performance indicators, and a metric useful in one industry can be useless in another: revenue per employee is telling for a BPO (labour-driven, billed by headcount) but nearly meaningless for capital-intensive manufacturing. Analysts are often guided by the companies themselves — annual reports and management discussion sections reveal what the industry considers its KPIs. Beyond that, two guides:
Unit of pricing — what the company treats as a unit when pricing. Simple in manufacturing (goods sold); tricky in services. Starbucks looks like it prices per beverage, but in substance its pricing is driven by expected earnings per patron.
Key constraining factors — demand-side, supply-side, or regulatory. The KPI should reflect the constraint: limited market size → track penetration rate; capacity constraints → track capacity utilisation; regulatory constraints → track the regulator’s metrics.
The workbook’s industry-by-industry KPI list:
Airlines, transportation and logistics — pricing driven by passengers/cargo × distance; constrained by capacity. KPIs: passenger/cargo km (a bundled metric: passengers or cargo × distance), price per passenger/cargo km, capacity and utilisation/occupancy rate.
Automobiles and capital goods — priced per unit sold, constrained by capacity. KPIs: volume and volume growth, average realisations and their growth, capacity and utilisation rate.
Commercial banks and NBFCs — the unit of pricing is the loan value, priced as interest. Constrained by deposits, regulatory capital, and mandated liquid assets; affected by market liquidity. KPIs: net interest margin, capital adequacy ratios, NPA ratio, deposit and loan growth, CRR and SLR, CASA ratio — plus central bank policy rates, since funding costs hang on them.
Consumer goods — priced per unit. KPIs: volume and growth, average price and growth; in durables, add capacity and utilisation during high-growth phases.
IT services / BPO / KPO — priced per headcount assigned per project per month (FTE — full-time equivalent). Constrained by workforce availability (abundant in India, but tight in booms); export-oriented, so currency matters; some firms have heavy customer concentration. KPIs: average FTEs billed, average revenue per FTE, bench strength (spare capacity) and attrition rates, constant currency growth, customer concentration ratio and the number of “million-dollar” customers.
Media — print, TV/radio, online; revenue from users and (mostly) advertising. Print prices ad space by real estate on the page; TV/radio by airtime; online directly by views/clicks. With hard limits on space and airtime, growth depends on attracting bigger audiences to charge advertisers more — which depends on acquiring good content at reasonable cost. KPIs: readership/viewership/TRPs/site visitors, average ad realisation per unit, content acquisition cost.
Retail — many products, many pricing units, and a trading business that can shift its mix quickly — so unit of pricing matters less. Growth depends on expanding the store network in high-sales localities. KPIs: number of stores, and same-store sales growth.
Telecom / ISPs — billing has shifted from per-call/message/data to fixed monthly rentals, but analytically the subscriber is the unit of pricing; companies grow the base and upsell. The big constraint: market size is capped by population in the geography served, and each provider must beat competitors to acquire and retain customers. KPIs: ARPU (average revenue per user), subscriber churn rate, cost of subscriber acquisition, market share.
Regulation — the rules of the game
Industry analysis is incomplete without knowing the rules, because small regulatory changes can have big business impacts. The workbook’s examples: the FDI-in-multi-brand-retail debate (back-end infrastructure requirements, minimum local sourcing); environmental policy changes closing mines; telecom license cancellations; and Companies Act amendments changing the landscape of doing business in India.
Taxation — the government’s lever on industries
Taxes fund the government — but they’re also a tool to encourage or discourage businesses. Kerala’s 2017 “fat tax” put an additional 14.5% on junk food to discourage the industry; GST slabs put 0% or low rates on essentials and much higher rates on luxury.
Direct taxes — the incidence and the liability fall on the same person; the one who bears the tax also pays it to the government. Income tax is the common form. Tax law prescribes when income and expenses are recognised — sometimes to steer behaviour: India lets companies claim 1.5× their actual expenditure on certain scientific research (encouraging R&D), and allows interest owed to scheduled banks as an expense only when actually paid (discouraging delays). These timing differences between reported profit and taxable profit create Deferred Tax Assets (paying more tax today, less later) and Deferred Tax Liabilities (paying less today, more later).
Corporate income tax in India has four components:
- Income tax — 30% of taxable profit (25% if turnover was below ₹400 crore), with optional alternative schemes at reduced rates of 15%–25% for companies that forego certain deductions.
- MAT (Minimum Alternate Tax) — if income tax payable is less than 15% of book profits, the company pays 15% of book profits (+4% cess and applicable surcharge). Excess paid becomes MAT credit against future tax.
- Surcharge — a tax on tax, entirely retained by the central government (unlike income tax, which is shared with states). For AY 2025-26: 12% of taxes if total income exceeds ₹10 crore; 7% between ₹1–10 crore; nil below ₹1 crore.
- Cess — an additional levy on taxes plus surcharge, earmarked for a specific purpose. Currently 4%, for health and education.
Indirect taxes — the person bearing the tax differs from the person collecting and remitting it. GST is the example: levied on the seller, collected from the customer, deposited with the government — the end consumer bears it. Sellers get input tax credit for GST paid to their suppliers, avoiding double taxation. Most goods and services are at 18%, with rates ranging 0%–28%. GST replaced most older indirect taxes — but fossil fuels and liquor remain under the old excise duty (a tax on production) and VAT (state-levied tax on sale) regime. Customs duty applies to imports, at product-specific rates.
Other taxes worth knowing: Road tax — a lifetime upfront tax on new automobiles, raising acquisition cost and affecting auto sales and downstream industries (auto ancillaries, vehicle insurers). Stamp duty — payable on registering documents, largely on asset purchases/sales; changes affect real estate and investment firms. Securities Transaction Tax (STT) — paid on sale of securities; by reducing realisable value it discourages short-term trading, affecting traders and broking firms.
Where to find industry information
Industry reports (journals and media), annual reports of companies in the industry (especially the Management Discussion and Analysis section), trade body and association publications, and the relevant ministry’s website and publications.
How this chapter is tested
Chapter 6 carries 8 marks — the second-heaviest conceptual chapter — and here’s the important discovery: it’s NOT purely theory. The workbook’s own first sample question is a calculation.
That question is worth walking through because it teaches the pattern: a tyre industry has three organised players with revenues of ₹6,000, ₹8,000 and ₹10,000 crore, and a survey says 20% of total sales come from the unorganised sector. Estimate the market size. The logic: organised sales = 6,000 + 8,000 + 10,000 = ₹24,000 crore, which represents 80% of the market. Total market = 24,000 ÷ 0.80 = ₹30,000 crore. That’s bottom-up market sizing turned into arithmetic — expect this style in the case studies too.
The other sample questions show the theory side: high rivalry → lower pricing power and lower incomes; PESTLE’s economic factors include forex reserves, RBI’s monetary policy AND resource dependence (all of the above); SCP’s structure includes growth rate, player relationships AND market size (again, all of the above). Notice the “all of the given options” pattern — this chapter’s questions like testing whether you know the full breadth of a framework’s contents.
The high-yield memorisation list: the five forces and what makes each force high; the five features of an attractive industry (low competition, high entry barriers, weak supplier power, weak buyer power, few substitutes); the four BCG boxes with the Indian examples; the three SCP layers and what sits in each; PESTLE’s six letters and which factor belongs where; defensive vs semi-cyclical vs deep cyclical with examples; the four directions of value migration with their examples (shale/US, Kodak, telecom value chain, Blackberry/Apple); the five life-cycle stages and the call-taxi story; the KPI list per industry (ARPU for telecom, NIM/CASA/NPA for banks, FTE metrics for IT, same-store sales for retail, passenger-km for airlines); and the tax numbers (30%/25% income tax, MAT at 15% of book profits, surcharge slabs, 4% cess, GST mostly 18% within 0–28%).
My approach: this chapter is a frameworks chapter, so I’m making one single-page sheet per framework — the five forces as a diagram with “high if” bullets under each force, the BCG as a 2×2 with the four Indian company examples written in, PESTLE as six boxes, SCP as three layers. Plus one table of industry → KPIs, and one card of tax numbers. And I’m practising the market-sizing arithmetic — organised revenue ÷ organised share — until it’s automatic, because that’s a free mark whenever it shows up.
Next up: Chapter 7 — Company Analysis: Business and Governance, where the top-down funnel finally reaches the individual company. See you in the next note.
Note: These are my personal study notes as I prepare for the NISM-Series-XV Research Analyst exam. They are for learning purposes only and are not investment advice.