This one is a stack, not a chain — nothing material flows, so the ordering is dependency rather than sequence. Read it downward: from what the buyer actually wants, into what delivers it. Seven layers, then three cross-cutting bands that run through all of them. The finding is the shape. India occupies the bands and rents the stack — professional services, systems integration and managed services are TCS, Infosys, HCLTech and Wipro, while layers 3 to 7 belong to SAP, Oracle, Microsoft, AWS, NVIDIA and TSMC. India-listed companies carry live figures; the global incumbents appear as markers so the layers are not empty. The exceptions matter — Oracle Financial Services Software at layer 3 proves the layer is winnable. Tap any layer or band to open it.
At the head of this chain
Highest return on capital and fastest sustained sales growth among the 49 listed companies in this chain above ₹1,000 Cr market cap and ₹500 Cr revenue. Sustained growth is the lower of the 3-year and 5-year sales CAGR, so a single strong year cannot win it — Netweb Technologies compounded 69.9% over three years and 72.5% over five. Same rule on every map. Snapshot 8 Sep 2026.
How the Indian IT stack works
Seven layers and three bands. India occupies the horizontal and rents the vertical.
- Margin pool
- Extraordinary in the services bands where India actually competes — TCS earns 63.0% on capital and Infosys 40.0%, on almost none of it. Also high at enterprise applications, but that layer belongs to SAP, Oracle and Microsoft; Oracle Financial Services Software is the rare India-listed exception at 45.3%. Thinnest at infrastructure and hardware, where India assembles rather than designs.
- Bargaining power
- With the platform owners. A hyperscaler is simultaneously partner, supplier and competitor to every Indian services firm — Infosys builds on Azure, resells it, and loses transformation work to Microsoft's own consultants. Indian firms have power over clients only through switching cost.
- Demand or supply led
- Demand-led and exported. Roughly four-fifths of revenue comes from the US and Europe, so the cycle is Western enterprise budgets, not Indian ones. AI spend is currently being funded by cutting other technology spend.
- Who owns the customer
- The global enterprise buyer, almost entirely offshore. Indian IT owns deep, long-running client relationships — but increasingly shares them with the client's own global capability centre, which buys from it, takes work in-house, and competes for the same engineers.
- Barriers to entry
- Lowest in staffing and body-shopping. Highest at silicon, which India does not do, and at platform ownership, which requires product distribution India has never built at scale.
- Threat of substitutes
- AI is the substitute, and it attacks precisely where India sits: billable effort in services and rules-based process work. The value accrues to the layers India does not occupy, which is the single most important structural fact on the page.
This is a generalist read of how the industry typically works, not a rule. Anomalies exist at every stage — a well-run company in a poor part of the chain routinely beats a badly-run one in a good part, and structure changes with the cycle. Use it as a starting frame, not a conclusion.
No company matches that search.