03 Enterprise Adoption

04 India’s global role

01 INDIA'S AI MOMENTUM

02 consumer

03 Enterprise Adoption

04 India’s global role

DPI^AI. Building the launchpad for India's AI wave.

A $1trillion incremental GDP opportunity.

At current growth, India reaches $7.3T by 2035. Reaching the $8.3T Viksit Bharat target needs AI-driven productivity across every sector. AI could add 1.0–1.5pp to annual GDP growth, enough to close the gap.

inference for builders

India is layering intelligence on top of population-scale infrastructure that took a decade to build.

Here's how Indian consumers use AI.

inference for builders

Building native-language, voice-first AI is the key to unlocking the next 100M users.

You know where India uses AI. But what are they using for?

Assam’s top query is education, J&K’s is health, Mumbai’s is code. The city-by-city use-case map is in the full report.

Download the Report

India's AI users are younger than anywhere else on earth!

India's Consumer AI Revolution · Two Crossovers

The Crossovers that redefined how India uses AI

Key takeaways

India's 18–24 year old cohort sends ~48% of all AI messages: 15 percentage points above global average.

They overtook 25-34s in mid-2024 and haven't looked back. This is the world's largest student-driven AI user base.

Key takeaways

India started 2024 as a work-first AI market which was overtaken by non-work by late 2024.

However, we still carry a small work premium over global averages, reflecting a young, AI-native technical user base.

inference for builders

100M+ users under 34, are using AI for learning, health, and daily life not enterprise workflows. The products that win India will be AI-native consumer utilities built on DPI rails.

For the clearest picture on where to build for India's Consumer AI audience, get the full report.

Download the Report

The users are here, but where are the builders?

The Talent Paradox

The people building the world's AI are Indian. They're just not in India.

India has the users, talent and infrastructure. Now all we need is the pincodes.

1 in 5

of the world’s top 100 AI companies has an Indian co-founder.

#2 globally

in AI-installed talent base across 1700+ GCCs & companies

+800%

growth in forward-deployed engineer job postings in 2023–25. India has 1.5M+ engineers and 2.55M STEM grads/year to fill them.

inference for builders

India exports world-class AI talent but is yet to capture the value chain in Indian pincodes. This wave has a different pull: a $200B government push to AI, 1.5M engineers and 2.55M STEM grads a year, and 100M+ domestic users already at the door.

What's happening inside Enterprises?

The enterprise divide

AI Maturity across Indian Enterprise users is diverging fast.

A survey of 100+ CXOs across Indian enterprises reveals that nearly half are already operating AI at scale or using it as a strategic differentiator.

Most India enterprises have adopted AI — and two cohorts are now clearly diverging in how they spend, what they build, and what they get from it.

*Please hover on the Graph

inference for builders

The gap will widen. Mature adopters are compounding and seeing tangible operating and business model leverage. Founders must push enterprises toward scaled adoption now before it's too late.

~49% mature. ~46% early. But not all mature adopters are the same — and the gap runs deeper than spending.

The Enterprise AI Maturity Matrix

01

The FrameworK

How you adopted AI matters as much as how far you’ve gone.

Tinkerers and Enforcers are both early. Tinkerers lack strategic direction; Enforcers lack execution maturity.

Democratizers and Transformers achieved maturity differently.

Democratizers got there bottom-up; Transformers built enterprise-wide governance from the start.

02

The Operational Proof

The gap isn’t spending. It’s how the company operates.

Where	WHAT	WHY
PMs using AI dev tools	25% early vs 54% mature	In mature orgs, PMs write code.
Customer support: autonomous resolution	55% early vs 80% mature.	Mature organisations are automating templatised tasks.

inference for builders

The company archetype is a leading indicator of how they code, where they spend, what they automate. This is a map for founders to secure shifting BPO spends.

The Enterprise AI archetypes map your path to becoming an AI-first organisation. Download the report to get the full framework.

Download the Report

You’ve seen the four archetypes. Which one is yours? Find out in 60 seconds.

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ai archetype quiz

what’s your enterprise ai archetype?

6 questions on how your org spends, deploys, and measures AI. See which of the four archetypes you fit — and what the leaders do differently.

Let's Start!

OF 06

How did AI first enter your organisation?

Individual employees started using AI tools on their own — it spread organically

Leadership declared AI a priority and set an org-wide mandate

A single team ran a pilot and it gradually spread from there

We evaluated tools formally, built a business case, and rolled it out top-down

OF 06

Who primarily controls AI purchasing decisions at your company today

Individual employees or team leads buy what they need

The CTO or CIO owns a central AI budget

It’s a mix — some central, some team-level

The CFO and business unit heads are both in the room

OF 06

Across how many business functions is AI actively embedded in day-to-day work?

1–2 functions (mostly engineering or one pilot team)

3–4 functions, but adoption is inconsistent

5–6 functions with meaningful, regular use

7 or more functions — AI is part of how we operate

OF 06

Roughly what percentage of your annual software budget is allocated to AI tools and infrastructure?

Less than 5% — we’re still testing

5–10% — AI is growing but not yet a major line item

10–20% — AI is a significant and deliberate investment

More than 20% — AI is replacing our legacy SaaS spend

OF 06

When AI initiatives stall or underdeliver at your organisation, what’s typically the cause?

Security, compliance, or data governance concerns block deployment

It’s hard to integrate AI with our existing systems and workflows

Model outputs aren’t consistent or reliable enough at scale

Our underlying data quality and access aren’t good enough to go further

OF 06

What has AI adoption actually delivered for your organisation so far?

Individual productivity — people work faster on specific tasks

We’re still figuring out how to measure the impact

Tangible cost savings — we’ve reduced headcount or outsourcing costs

Revenue impact and new business model opportunities, not just efficiency

Z47

Processing

> running diagnostics

Analysing your choices...

Matching answers against 4 archetypes — 1,247 data points scanned.

ARCHETYPE 01 / 04

⟨Tinkerer⟩

InstinctBUILDER

PaceFAST / BOTTOM-UP

RiskMEDIUM

“You're exploring. The rest of the org hasn't caught up yet."

You Are

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inference for builders

As more enterprise players move their spends to AI, understanding org maturity is the map to secure shifting contracts.

india’s startup stack · DPI^AI in Action

DPI built the rails. Now $1.27 billion in AI venture capital is building the trains.

India’s AI funding story has flipped. Capital is moving decisively up the stack - from building infrastructure to backing companies that solve specific industry problems.

37%

Vertical AI’s share of VC in 2025, up from 29% in ’24.

2×

Year-over-year growth in absolute Vertical AI capital, ‘24 → ‘25.

KEY INSIGHTS · WHERE CAPITAL IS MOVING

How AI Funding has evolved

inference for builders

The infrastructure layer is commoditising. The application layer is exploding. the tools are being built in India, on DPI rails.

india’s startup stack

$627M → $1.27B in one year.~170 companies building across 4 layers.

Agentic Dev Tooling & Middleware

AI in Chip / PCB Design

AI Inferencing (Chips and Enablers)

Morphing Machines

Agrani Labs

Netrasemi

AI Trust, Safety & Governance

Data Services & Model Training

Data Stack

Deployment & Inference

SimpliSmart

TrueFoundry

Foundation Models & Sovereign AI

GPU Cloud & Compute

Agent Builders

AI-Led Services

CFO & Finance Automation

Hyperbots

Maximor

Nanonets

Content Generation AI

Customer Support & CX AI

Design AI

Engineering & Developer AI

Implementation Automation

Beacon

Refold AI

Rocketlane

IT & Enterprise Ops AI

Marketing AI

Research & Intelligence AI

Sales & GTM AI

AEC AI

AgriTech

AI for MSPs

E-commerce

Edtech AI

Financial Services

Healthcare & Life Sciences

HVAC & Field Services

Legal AI

Manufacturing Tech

Supply Chain & Logistics

AI x Assistant

AI x Astro

AI x Companion

AI x Edtech

AI X Fintech

AI x Health

AI x Kids

AI x OTT

AI x Travel

The stack is built. The capital is flowing. The talent is Indian. The next move is yours.

The most comprehensive report on India’s AI usage is yours for the taking.

Download the Report

100M+

#1

95%

1 in 5

$1.27B

DPIAI. Building the launchpad for India's AI wave.

From $300B to $4.1T: India has had three decades of Digital Leapfrogs, AI is the Fourth Compounding Layer

India is layering intelligence on top of population-scale infrastructure that took a decade to build.

India's AI consumption is led by the top 10 cities

Building native-language, voice-first AI is the key to unlocking the next 100M users.

You know where India uses AI. But what are they using for?

The Crossovers that redefined how India uses AI

100M+ users under 34, are using AI for learning, health, and daily life not enterprise workflows. The products that win India will be AI-native consumer utilities built on DPI rails.

For the clearest picture on where to build for India's Consumer AI audience, get the full report.

The people building the world's AI are Indian. They're just not in India.

India exports world-class AI talent but is yet to capture the value chain in Indian pincodes. This wave has a different pull: a $200B government push to AI, 1.5M engineers and 2.55M STEM grads a year, and 100M+ domestic users already at the door.

AI Maturity across Indian Enterprise users is diverging fast.

The gap will widen. Mature adopters are compounding and seeing tangible operating and business model leverage. Founders must push enterprises toward scaled adoption now before it's too late.

The Enterprise AI Maturity Matrix

01

How you adopted AI matters as much as how far you’ve gone.

PROCESS OF AIADOPTION

ENFORCERS

26%

11%

1 of 9

TRANSFORMERS

26%

11%

1 of 9

TINKERERS

26%

11%

1 of 9

DEMOCRATIZERS

29%

11%

1 of 9

LEVEL OF AI ADOPTION and penetration across enterprises

02

The gap isn’t spending. It’s how the company operates.

The company archetype is a leading indicator of how they code, where they spend, what they automate. This is a map for founders to secure shifting BPO spends.

The Enterprise AI archetypes map your path to becoming an AI-first organisation. Download the report to get the full framework.

Analysing your choices...

Heading

As more enterprise players move their spends to AI, understanding org maturity is the map to secure shifting contracts.

DPI built the rails. Now $1.27 billion in AI venture capital is building the trains.

How AI Funding has evolved

The infrastructure layer is commoditising. The application layer is exploding. the tools are being built in India, on DPI rails.

$627M → $1.27B in one year.~170 companies building across 4 layers.

The most comprehensive report on India’s AI usage is yours for the taking.

Get the full India AI edge Report.

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openAI

Zinnov

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DPI^AI. Building the launchpad for India's AI wave.