New Delhi, Aug 12 (IANS) Indian semiconductor startups have raised approximately $206 million across 51 funding rounds since 2022, with investor interest currently shifting to fewer but larger bets on companies closer to commercialisation, a report said on Wednesday.
The report from venture capital firm Speciale Invest said semiconductor startups secured $61.9 million in the first half of 2026, already equivalent to 81 per cent of the total 2025 fund raise of $76.6 million.
The number of funding rounds fell from 16 in 2024 to 13 in 2025 and seven in H1 2026, even as capital deployed rose sharply.
The funding trend indicated that investors are concentrating money behind companies that have moved further along product development and commercialisation, rather than spreading bets across a wider set of early-stage startups.
The report added that seven recent Series A rounds totalled $73.7 million, roughly one‑third of all capital raised since 2022, and that seed‑to‑Series A timelines spans seven to 22 months for many firms.
The report mentioned a growing link between government-backed semiconductor programmes and private venture funding.
Of the 24 chip-design projects supported under the Design Linked Incentive (DLI) programme, 14 have subsequently raised institutional venture capital, together pulling in $100.8 million across their first and second rounds.
“The next test is whether this momentum can carry companies from design and validation into scaled products, repeat customers and globally relevant businesses,” Rajaram added.
“The next generation of investible semiconductor companies in India will not come from chip design alone. We see significant room to build across equipment and materials, design IP and EDA, analog and RF, advanced packaging and AI infrastructure,” said Arjun Rao, Co-founder and General Partner, Speciale Invest.
The report identified a broadening of India’s semiconductor startup base. The first wave of companies focused largely on digital, RF, RISC-V and edge SoCs. Newer companies are emerging in photonics, power and compound semiconductors, fab tooling and metrology, AI data-centre silicon, AI-led semiconductor design workflows, and analog AI inference.
—IANS
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