

TL;DR
Deep tech in India is not underfunded, it is under-matched on time horizon. Commercial maturity in hardware, semiconductors, space, and advanced materials can take 8–12 years, longer than most venture funds’ investment and exit windows. This mismatch is now being closed by two parallel mechanisms: patient, milestone-based capital (government-anchored fund-of-funds structures, venture debt, strategic capital) on the entry side, and secondary transactions, continuation vehicles, and strategic M&A on the exit side rather than the IPO-centric exit path that public software companies have relied on.
Software businesses can often prove a model with a few million dollars and iterate their way to scale. Deep tech rarely gets that luxury. A semiconductor design house, a space-launch company, or an advanced-materials startup has to fund R&D, build or access physical infrastructure, clear certification and regulatory checkpoints, and run pilots all before revenue becomes meaningful. That sequence doesn’t compress just because a fund’s return clock is ticking.
India’s numbers reflect this shift underway. Deep tech has drawn close to $11.4 billion in cumulative PE-VC investment from 2015 through 2026 YTD. Over 85% of that cumulative total was raised in just the past six years, and 2025 alone was the strongest year on record $2.96 billion across 189 deals even as the broader Indian startup funding environment slowed. AI/generative AI and EV/battery technologies have absorbed the largest share of capital so far, while semiconductors and spacetech are now the fastest-growing segments.
The more instructive data point sits beneath the headline number: the Bharat Deeptech 2026 report by IVCA and its underlying fund survey found participation drops sharply at Series B/C, with fewer investors able to write growth-stage cheques once a company has cleared early technical risk but hasn’t yet reached commercial scale. Separately reported estimates suggest only a small fraction of surveyed deep-tech companies successfully cross this “valley of death” between prototype and commercial product. This is precisely where the standard 7–10 year VC fund life becomes a poor structural fit: the fund needs to start showing distributions well before many deep-tech assets are commercially proven.
Three responses to this gap are visible in the market today. First, venture debt has emerged as a bridge deep-tech companies raised $544 million through venture debt across 61 deals over the same period, letting founders extend runway without diluting equity at a stage when valuation is hardest to defend. Second, strategic and corporate capital is entering earlier, bringing not just money but distribution and validation. Third, and most consequential, the government has stepped in directly with capital structured for duration rather than velocity: the ₹1 lakh crore RDI Scheme, administered through a two-tier structure under the Anusandhan National Research Foundation, is explicitly designed to provide long-tenor financing at low or nil interest rates and to seed a dedicated Deep-Tech Fund of Funds channelled through second-level managers such as AIFs, DFIs and NBFCs rather than deployed directly. Over 100 domestic VC firms have reportedly applied to participate. This is public capital underwriting the one thing conventional venture structures can’t easily supply on their own: patience.
Capital intensity is only half the story. The other half is what happens when investors need to get paid back and here the data points to a structural shift that most India VC commentary hasn’t fully absorbed yet.
In the same IVCA fund survey, 62% of respondents identified exit visibility not fundraising, not talent, not regulation as the single biggest challenge facing India’s deep-tech ecosystem, ahead of long gestation periods. That is a striking admission from an industry that has spent the last several years focused on deployment. The report notes exit activity did strengthen in 2025, with both deal counts and value rising, and secondary sales delivering the strongest average returns of the decade, a sign of a market starting to recycle capital rather than simply parking it. Concretely, deep tech saw 18 exits worth roughly $600 million in 2025, up sharply from just 7 exits worth $152 million in 2024.
What’s notable is the composition of those exits. Secondary transactions accounted for 56% of all deep-tech exits by count more than IPOs or strategic acquisitions combined even as the IPO route, “remains viable but requires a deeper layer of growth-stage capital” that isn’t fully there yet. Over the last 24 months, with 25 space economy M&A transactions , as global industrial players increasingly pursue a buy-over-build approach to acquire proprietary IP in aerospace, semiconductors, and advanced manufacturing rather than compete with it. Investors quoted in that coverage expect the pattern to hold: early-stage deep-tech exits are likely to come predominantly through strategic and cross-border M&A, followed by secondary sales, with domestic IPOs opening up as a later-stage option once technical validation and revenue visibility are firmly established.
This is the exit architecture problem in plain terms: if the underlying technology takes 8–12 years to mature commercially, but a standard venture fund’s exit clock runs on a 7–10 year cycle, the two are structurally misaligned and something has to absorb that gap. Globally, private markets have already built the plumbing for exactly this kind of mismatch. GP-led secondary transactions deals where a fund manager moves a still-maturing, high-conviction asset into a new continuation vehicle rather than force-selling it on the original fund’s timeline made up roughly $106 billion of an estimated $226 billion global secondaries market last year, with continuation funds alone accounting for the large majority of GP-led deal volume. India’s own broader growth-equity market is already moving in this direction, recorded $6.7 billion returned from growth-stage investments in 2025, with public markets, strategic buyers, and secondary transactions all contributing meaningfully rather than any single channel dominating.
Call it the Exit Clock Mismatch: in deep tech, the technology has one clock and the fund has another, and whenever those clocks run at different speeds, someone has to build a bridge between them. In India today, that bridge is being built out of secondary transactions, strategic buyers, and increasingly continuation vehicles, not the IPO window that public software companies have relied on. For India’s deep-tech ecosystem to compound rather than stall, the market will need more of this structured liquidity layer, not just more capital at entry.
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