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Macro·3 min read·May 6, 2026

India1, India2, India3: Reading Indian Consumer Demand in 2026

The cleanest mental model for Indian consumer building right now. Why 140 million people carry two-thirds of discretionary spend — and what that does to your pricing, your channel mix, and your fundraise.

By Pratyaya Capital · Partners

Indian consumer building runs on a few mental models that, once internalised, change every pricing and channel decision a founder makes. The cleanest of them comes from Blume Ventures: India1, India2, India3. We use it constantly with our portfolio. Here is the working version we hand to a founder on day one.

The three Indias

The three Indias, sized

  • 140M

    India1

    Top decile · ~$15K/yr per person · carries 2/3 of discretionary spend

  • 300M

    India2

    Aspirant class · ~$3K/yr per person · the next leg of discretionary growth

  • 1B

    India3

    Below the discretionary line · subsistence consumption

Indicative figures, 2024–25. Per-capita is annual private final consumption expenditure proxy.

India1 is roughly the same population as Mexico, at roughly the same per-capita income. It is the population a global premium brand can credibly target as its addressable market. India2 is Indonesia-sized — a younger, more aspirational, more price-sensitive consumer who responds to vernacular content and micro-transactions. India3 is the billion behind that, beyond discretionary spend for most categories today.

The deepening, not widening, pattern

The most important fact about Indian consumer demand over the last thirty years is that India1's share of national income has gone up sharply — not that the bottom has fallen, but that the top has lifted disproportionately.

Share of national income held by India1 (top 10%)

32%39%46%53%60%19901995.32000.720062011.32016.7202258%Year% of national income

World Inequality Database / national income surveys, indexed.

From 34% in 1990 to 57.7% in 2022. The Indian consumer market has been getting more concentrated, not less. For an AI-native brand, this is the single most important pricing signal in the deck: the people most able to pay for a premium AI-mediated experience are also the people whose share of national consumption has been compounding for thirty years.

Where India1 over-indexes

India1 does not consume slightly more than the average — it consumes orders of magnitude more in the categories that matter to consumer founders.

India1 (urban) over-indexing vs per-capita average

  • Consumer durables

    Premium appliances, phones, electronics

    13.0× · 13.0×

  • Medical (private)

    Out-of-pocket healthcare spend

    12.0× · 12.0×

  • Out-of-home food

    Restaurants, cafés, food delivery

    11.0× · 11.0×

  • Education

    Private schooling, tutoring, EdTech

    8.0× · 8.0×

  • Travel

    Domestic + international leisure

    7.0× · 7.0×

× per-capita average

0.0×
2.8×
5.6×
8.4×
11.2×
14.0×

Indicative multiples by category — urban top-decile household spend / per-capita national household spend in that category.

If your AI-native product is in any of these categories and is priced for India1, you have a 140M-person addressable market with category-leading willingness to pay. That is not a small market by any reasonable comparison.

What this implies for an AI-native consumer founder

  • Decide which India you are pricing for. Do not pretend the same product is for both India1 and India2. The unit economics will not survive the ambiguity.
  • If India1: build in English, charge in dollars-equivalent, and benchmark UX against US/global peers. Indians who can pay for premium experience compare you to your global competitors, not your domestic ones.
  • If India2: build vernacular-first, price on micro-transactions, and channel through the surfaces India2 actually uses (WhatsApp, IRCTC-adjacent, vernacular YouTube).
  • Do not build for India3 with venture capital. India3 is built for by the state and by category-defining infrastructure plays (Jio, UPI). Venture-scale returns on subsistence consumers are extremely rare.

The 'India is a billion people' pitch deck is the most expensive misreading of the Indian consumer market we see. The market is real, but it is 140 million people who can pay full price and 300 million who can pay a small price often.

Where we are investing inside the segmentation

We have allocated capital across both India1 and India2. The India1 bets in the portfolio look like premium AI-mediated consumer surfaces — wellness, finance, entertainment, education — priced at $20–$40 per month and supported by retention math that holds at India1 spending power. The India2 bets are vernacular-first products that monetise on micro-transactions, ad inventory, or commerce conversion — priced at ₹10–₹50 per transaction. Both work. Mixing them in the same company rarely does.

The thesis is not 'India is the next big consumer market.' It is 'the right priced product against the right India is the highest-return bet in our category.' Choose your India.

PC

Pratyaya Capital

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