Why India’s GenAI rush creates 13x more startups, while funding rises just 1.6x

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• Active Gen AI startups in India rose from 66 to over 890 in two years.
• Cumulative funding grew from $606M to $990M, lagging behind startup growth.
• Infrastructure still gets most Gen AI funding despite more application startups.

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India’s Generative AI ecosystem is expanding far faster in numbers than in capital depth, with the number of active Gen AI startups rising more than thirteen-fold over two years even as cumulative funding increased by just about 1.6 times, according to the Economic Survey 2025-26.

The Survey’s data shows that active Gen AI startups grew from 66 in H1 CY2023 to over 890 in H1 CY2025, while cumulative funding rose from $606 million to $990 million over the same period.

The difference highlights how the Gen AI ecosystem is widening rapidly without a proportionate increase in capital.

The 688-page Economic Survey suggests that lower entry barriers, rising demand for productivity-led GenAI solutions, and continued capital concentration in infrastructure have enabled rapid startup formation without a commensurate rise in overall funding.

Lower entry barriers drive startup surge

The Survey links a shift in the nature of technology creation, particularly at the application layer, where entry barriers are significantly lower than in capital-intensive infrastructure and model development.

“Another key trend in the IT-ITeS sector is a shift towards higher-value products and capability-driven growth,” the Survey read.

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Application-layer Gen AI startups typically rely on existing models, cloud infrastructure, and Application Programming Interface (APIs), enabling smaller teams to build use-case-led products without heavy upfront capital investment.

This has allowed the number of startups to accelerate even as funding growth remains lower, comparatively.

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Structural demand spreads capital thin

The Survey also highlighted that demand for Gen AI-led solutions is structural rather than cyclical.

“A structural shift, rather than a cyclical disruption, is evident in global demand for productivity-enhancing solutions driven by Generative AI, cloud adoption, cybersecurity, and data engineering,” it said.

Such productivity-focused demand tends to support a large number of narrowly targeted enterprise solutions, resulting in capital being distributed across many smaller ventures instead of being concentrated in a few large funding rounds.

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Infra continues to absorb bulk of funding

Despite the rise in application-layer activity, the Survey’s data shows that infrastructure and model development still accounted for 63 percent of Gen AI funding in H1 CY2025, down from 96 percent in H1 CY2023 but still the dominant destination for capital.

This has created a bifurcated ecosystem in which a limited number of infrastructure players absorb large pools of capital, while a rapidly growing base of application startups operates with relatively smaller funding.

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