India’s artificial intelligence startup ecosystem attracted $1.6 billion in funding between January and September 2026, more than double the $677 million raised during the same period last year. However, the number of funding rounds dropped sharply, indicating that investments are becoming concentrated among a smaller group of companies.
According to Tracxn data reported on November 11, 2026, startups raised the amount across 81 rounds, down 43% from 142 rounds a year earlier. Only 70 companies secured funding, compared with 126 previously. Just 4 deals accounted for 72% of the total.
4 major deals drive funding growth
The largest transactions included:
- Neysa: $600 million, in a round led by Blackstone.
- Sarvam: $255 million, as part of $346 million raised across 2 rounds in June and August, with HCL Technologies and Nvidia among its backers.
- Yotta: $150 million, including participation from the Serum Institute of India.
- Emergent: $130 million for its AI-powered app-building platform.
“AI funding has risen in dollars but not in the number of deals and almost all of the rise comes from AI infrastructure rounds,” said Tracxn co-founder Neha Singh. She added that funding would have declined without these large transactions.
AI infrastructure attracts 75% of funding
Infrastructure startups raised $1.2 billion across 19 rounds, accounting for 75% of total AI funding. This was 8.3 times the $145 million raised a year earlier, despite a decline from 29 rounds.
Private equity and strategic investors are increasingly backing GPU clouds and data centres. Neysa’s computing capacity is also going live, with STT GDC opening a 22 MW data centre in Noida to host its AI GPUs.
AI application funding loses ground
Application startups raised $390 million across 62 rounds, down 27% from $532 million across 113 rounds in the previous year.
Vertical AI funding plunged 87% to $41 million from $319 million, while consumer AI applications attracted just $1 million across 3 rounds. Enterprise AI funding grew 70% to $348 million, but Emergent and Freehand accounted for 79% of it.
Inflexor Ventures managing partner Venkat Vallabhaneni said many startups offer only a thin layer over externally developed models. He noted that “Indian enterprises love to pilot” but are slower to sign purchase orders.
What this means for CIOs
The funding shift could give technology leaders more domestic computing and sovereign AI model options, but fewer application vendors to choose from. With GPUs in Indian data centres reportedly operating at around 20% utilisation, converting pilot projects into paid deployments remains a key challenge.
Globally, AI companies raised $519 billion up to mid-September 2026, with the US accounting for 76%, according to the State of AI Report 2026 by Air Street Capital and Dealroom.
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