• India has 109 agentic AI startups, but few have real users or monetization, reports AIM.
  • Most tools are in beta or enterprise-facing; consumer demand remains low.
  • Infrastructure gaps and limited trust in AI autonomy are slowing mainstream adoption.

India is now home to 109 agentic AI startups, but most of them are building in a vacuum—without users, monetization, or meaningful consumer traction, according to a recent report by AIM.

Agentic AI, tools that not only respond to prompts but take autonomous actions, has become a buzzword in India’s startup ecosystem. Startups like Krutrim, Sarvam, Fractal, and Gnani AI are rolling out digital agents that can book cabs, order food, generate content, and automate workflows. But despite the hype, the market remains largely untested.

In a country with over 750 million smartphone users, only a minuscule percentage are using AI agents. Most products are in beta, offered for free, and targeted at developers or enterprise teams rather than mass consumers. Even government-backed initiatives like Bhashini, a voice translation tool, are yet to gain traction.

“The consumer-agentic AI story in India remains aspirational, built more on pitch decks than on product-market fit,” writes AIM.

While startups project a booming market, there’s little public data on user activity, retention, or revenue. Most consumer-facing agents, like Krutrim’s Kruti, offer limited functionality tied to their parent services, like Ola cabs and food delivery, making adoption feel redundant.

Meanwhile, real traction is happening in enterprise use cases. Companies like RevRag and Meritto are developing agents to automate lead qualification, sales support, and QA testing in sectors like education and BFSI. Sarvam’s Samvaad voice agent platform, built for Indic languages, is focused squarely on business clients, not individual consumers.

Yet, even B2B adoption faces hurdles. Long sales cycles and bureaucratic decision-making slow down deployments.

“It’s not about lack of money or inferior tech. It’s a game of volume and patience,” RevRag CEO Ashutosh Singh told AIM

The bigger challenge lies in infrastructure and user behavior. Unlike Western markets, India lacks unified platforms where agents can integrate seamlessly. Most users juggle multiple apps, none designed for autonomous interactions. Trust and understanding of AI autonomy are still low, especially outside metro cities and English-speaking circles.

Until India builds the rails for real agentic integration—and consumers show a willingness to pay—the country's agentic AI movement risks becoming an export-focused tech showcase, not a domestic revolution.

Edited by Harshajit Sarmah