Artificial intelligence is fundamentally transforming every layer of the global advertising industry, and India is emerging as a prime candidate to produce world-class AdTech champions, according to a new report by consulting firm Redseer Strategy Consultants released on Tuesday, 2 June. The findings arrive as global advertising expenditure crosses the $1 trillion milestone for the first time, with AI accelerating a structural shift toward automated, data-driven, and outcome-oriented models.

India's Tech Talent: The Foundation

The Redseer report points to a formidable talent pipeline as the bedrock of India's AdTech ambitions. The country produces 2.7 million engineering and technology enrolments annually, hosts between 20 and 24 million active developers on GitHub, and is home to nearly 1,900 global capability centres generating $65–75 billion in exports each year.

These numbers, the report argues, provide a deep and scalable foundation for AI-led product development — one that few other nations can replicate at comparable cost and scale. Mukesh Kumar, Associate Partner at Redseer Strategy Consultants, framed it directly: 'The engineering work required to rebuild the advertising stack around AI — from ML-led bidding systems and identity graphs to transformer-based recommendation engines and agentic advertising infrastructure — maps directly to the talent India has developed over the last three decades.'

A Domestic Market Gaining Momentum

India's own digital advertising market is projected to grow from roughly $21 billion in 2025 to between $33 billion and $42 billion by 2030, according to the report. This expanding domestic engine is expected to provide Indian AdTech firms with a large, diverse testing ground before they scale globally.

Globally, digital formats already account for 75–80 per cent of total advertising spend, with 80–85 per cent of that digital inventory transacting programmatically. The shift is no longer incremental — it is structural.

What AI Is Changing in Advertising

According to the report, AI is not merely an add-on to existing advertising workflows. Kumar noted: 'What makes this transition different is that AI is not adding another layer to advertising, it is rewriting every layer of it at the same time.' The disruption spans media buying, creative production, audience targeting, commerce integration, and campaign measurement.

Open ecosystems with robust data infrastructure, strong advertiser and publisher relationships, and advanced AI capabilities are expected to widen their competitive lead as adoption accelerates, the report observed. This positions platforms that have invested early in AI infrastructure to capture disproportionate market share.

From Outsourcing to Ownership

A notable shift highlighted in the report is the evolving identity of Indian-origin AdTech companies. Increasingly, these firms are operating as global product companies rather than outsourced technology vendors — a transition that allows them to capture software and platform margins rather than the thinner services margins that defined an earlier era of Indian IT exports.

This repositioning, the report suggests, is not incidental but structural, driven by decades of capability-building in data engineering, machine learning, and cloud-native development. Notably, this mirrors a broader pattern seen in Indian SaaS, where domestic-origin firms have begun competing on product terms with Silicon Valley incumbents.

What Comes Next

As AI adoption in advertising deepens globally, the report positions India at an inflection point — one where accumulated technical talent, a rapidly growing domestic market, and a maturing product mindset could converge to create genuinely global AdTech platforms. Whether that potential translates into category-defining companies will depend on continued investment in AI infrastructure, data governance frameworks, and the ability to build advertiser trust at scale.