TLDR: India has seen a surge to 109 agentic AI startups, focusing on autonomous AI systems. Despite this rapid growth and a large smartphone user base, direct-to-consumer agentic AI products face minimal demand, with most traction remaining in the enterprise sector. Concerns persist regarding user retention and monetization in the consumer space.
India’s artificial intelligence ecosystem is witnessing a significant boom in agentic AI, with the country now home to 109 active agentic AI companies, according to data from Tracxn. These startups are dedicated to developing AI systems capable of not only understanding prompts but also taking autonomous actions, completing tasks, automating workflows, and mimicking decision-making processes. This rapid emergence has seen over 100 such startups appear in under two years.
Despite this impressive growth, the consumer-facing segment of agentic AI in India appears to be operating in a ‘vacuum’ of sorts. While India boasts over 750 million smartphone users, only a minuscule percentage are currently utilizing AI agents. Startups often claim a burgeoning consumer demand, but reliable data to substantiate this is largely absent, and concerns around user retention and monetization remain prominent.
Industry analysis suggests that India’s most significant AI use cases are still predominantly found within the enterprise sector. While there is a clear need for tools like coding copilots and workflow agents for autonomous QA testers in businesses, direct-to-consumer agentic products currently face almost no demand.
Several companies are, however, positioning themselves as pioneers in consumer-facing agentic AI. Krutrim, backed by Ola’s Bhavish Aggarwal, launched ‘Kruti,’ a personal AI agent designed for tasks such as booking cabs, ordering food, generating images, and conducting research. Fractal, traditionally an enterprise player, has introduced consumer tools like ‘Kalaido’ and ‘Vaidya.’ Gnani AI entered the fray with ‘Inya AI,’ enabling users to create plug-and-play voice and chat agents. However, many of these consumer-oriented agentic tools are currently functioning as proof-of-concept applications, often in beta, offered for free, or primarily targeting developers and enterprises, with limited public data on active user numbers or monetization.
Conversely, the enterprise segment continues to see more tangible traction. Companies like Meritto and RevRag are developing agents for specific workflows in sectors such as education and BFSI (Banking, Financial Services, and Insurance). These agents handle tasks like lead qualification, sales automation, and call center support, serving institutional clients rather than individual consumers.
Globally, the market for agentic AI is projected for substantial growth, from $28.29 billion in 2024 to $126.89 billion by 2029, at a compound annual growth rate of 35%. Ganesh Gopalan, co-founder and CEO of Gnani AI, noted that the increased demand for B2C agentic offerings in India is driven by a tech-savvy, mobile-first population seeking faster, more intuitive, and hyper-personalized digital experiences across various domains, from shopping and banking to healthcare and education.
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Despite the aspirational narrative surrounding consumer-agentic AI in India, the current reality indicates that most significant adoption and product-market fit are still occurring within enterprise applications, albeit at a slower pace than anticipated.
