India’s startup ecosystem raised nearly $11 billion in 2025, but investors wrote far fewer checks and became more selective about where they took risk, underscoring how the world’s third-most funded startup market is deviating from the AI-fueled pooling of capital seen in the US
The selective approach was most evident in the conclusion of agreements. The number of startup funding rounds fell nearly 39% from a year earlier, to 1,518 deals, according to Tracxn. Total funding fell more modestly – down just over 17% to $10.5 billion.
This pullback was not uniform. Early-stage funding fell sharply to $1.1 billion in 2025, down 30% from 2024, as investors cut most experimental bets. Late-stage funding also fell, sliding to $5.5 billion, down 26% from last year, amid tighter scrutiny of scale, profitability and exit prospects. However, early-stage funding proved more resilient, growing to $3.9 billion, up 7% year-over-year.
“The focus of capital raising has increased on early-stage startups,” said Neha Singh, co-founder of Tracxn, noting the growing confidence in founders who can demonstrate stronger product-market fit, revenue projection and unit economics in a tighter funding environment.
The search AI
Nowhere was this recalibration clearer than in AI, as AI startups in India raised just over $643 million across 100 deals in 2025, a modest 4.1% increase from last year, according to Tracxn data shared with TechCrunch. The capital was mainly allocated to early stage and early development stages. Early-stage AI funding totaled $273.3 million, while late-stage rounds raised $260 million, reflecting investors’ preference for application-based businesses over developing capital-intensive models.
That was in sharp contrast to the US, where AI funding in 2025 topped $121 billion across 765 rounds, per Tracxn, a 141% jump from 2024, and was overwhelmingly dominated by late-stage deals.
“We are yet to have an AI-first company in India that has revenue of $40-50 million, if not $100 million, in a year’s time, and this is happening globally,” said Prayank Swaroop, partner at Accel.
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India, Swaroop told TechCrunch, lacks large model foundational companies and will need time to build the depth of research, talent pipeline and patient capital needed to compete at this level — making application-based AI and adjacent deep tech areas a more realistic focus in the near future.
This pragmatism has shaped where investors are placing longer-term bets outside of basic AI. Venture capital is increasingly flowing into the manufacturing and deep technology sectors. These are some of the areas where India faces less global capital competition and has clear advantages in talent, cost structures and customer access.
While AI is now absorbing a significant share of investor attention, capital in India remains arguably more evenly distributed than in the US, with significant funding still flowing into consumer, manufacturing, fintech and deep tech startups. Swaroop noted that advanced manufacturing in particular has emerged as a long-term opportunity, with the number of such startups growing nearly tenfold in the past four to five years — a sector he described as a clear “right to win” for India given lower global capital competition.
Rahul Taneja, partner at Lightspeed, said AI startups would account for around 30-40% of deals in India in 2025, but pointed to a parallel rise in consumer-facing companies as changing behavior in India’s urban population creates demand for faster, more on-demand services – from fast commerce to home services. Valley type capital intensity.
India vs USA
Data from PitchBook shows a stark divergence in capital growth between India and the US in 2025. Venture funding in the US rose to $89.4 billion in the fourth quarter alone, according to PitchBook data through Dec. 23, compared with about $4.2 billion raised by Indian startups in the same period.
However, this gap does not tell the whole story.
Lightspeed’s Taneja cautioned against drawing direct parallels between India and the US, arguing that differences in population density, labor costs and consumer behavior shape scalable business models. Categories like e-commerce and on-demand services have found much more traction in India than in the US, reflecting the local economy despite a lack of ambition among founders or investors.
Lightspeed recently raised $9 billion in fresh funding with a particular focus on artificial intelligence, but Taneja said the move does not signal a wholesale shift in the company’s India strategy. The US fund, he noted, is geared towards a different market and maturity cycle, while Lightspeed’s India arm will continue to support consumer startups while selectively exploring AI opportunities shaped by local demand rather than global capital intensity.
Nuances in India’s startup ecosystem
India’s startup ecosystem also saw funding for women-led startups. Funds invested in tech startups founded by women held relatively steady at about $1 billion in 2025, down 3 percent from the previous year, according to the Tracxn report. However, this headline shape masked a sharper pullback below the surface. The number of funding rounds in start-ups fell by 40%, while those funded for the first time fell by 36%.
Overall, investor participation has fallen sharply as selectivity has increased, with about 3,170 investors participating in funding rounds in India this year, down 53 percent from about 6,800 a year earlier, according to Tracxn data shared with TechCrunch. Investors based in India accounted for almost half of that activity, with about 1,500 domestic funds and angels participating – a sign that local capital has played a more important role as global investors have turned cautious.
Activity also became more concentrated among a smaller group of repeat supporters. Inflection Point Ventures emerged as the most active investor, participating in 36 funding rounds, followed by Accel with 34, Tracxn data shows.
The Indian government’s involvement in the startup ecosystem became more visible in 2025. New Delhi announced a $1.15 billion Fund of Funds in January to expand access to capital for startups, followed by a ₹1 trillion ($12 billion) Research, Development and Innovation program targeting areas such as energy transition, quantum space and long-term technology, robotics. loans, equity infusions and allocations to deep tech funds.
This push has also begun to catalyze private capital. The growing government involvement helped commit nearly $2 billion from US and Indian venture capital and private equity firms, including Accel, Blume Ventures and Celesta Capital, to back deep-tech startups — an effort that also brought in Nvidia as an adviser and attracted Qualcomm Ventures. In addition, the Indian government also co-led $32 million in funding for quantum computing startup QpiAI earlier this year—a rare federal move.
That growing government involvement has helped reduce a risk that investors have long pointed to: regulatory uncertainty. “One of the biggest risks you don’t want to take is what happens if the regulation changes,” Lightspeed’s Taneja said.
As government entities become more familiar with the startup ecosystem, Taneja added, policy is more likely to evolve alongside it — reducing uncertainty for investors backing companies with longer growth cycles.
Exits in India
The reduced uncertainty is already beginning to show to some extent in exit markets. India has seen a steady stream of tech IPOs over the past two years, with 42 tech companies going public in 2025, up 17% from 36 in 2024, according to Tracxn. Much of the demand for these listings came from domestic institutional and retail investors, allaying long-standing concerns that Indian startup exits are too dependent on foreign capital. M&A activity also picked up, with acquisitions up 7% year-on-year to 136 deals, Tracxn data shows.
Accel’s Swaroop said investors had long been concerned that India’s public markets were largely propped up by foreign capital, raising questions about the duration of exits during global downturns. “This year has turned that away,” he said, pointing to the growing role of domestic investors in the absorption of technology markets – a change that has made exits more predictable and reduced reliance on volatile flows abroad.
India’s 2025 unicorn pipeline also reflected this shift towards containment. While the number of new unicorns remained stable year-on-year, Indian startups reached $1 billion valuations with less capital, fewer funding rounds and a smaller pool of institutional investors, indicating a more measured path to scale compared to previous years and global peers.
Challenges remain as India heads into 2026, particularly over how it positions itself in the global AI race and whether late-stage funding can deepen without relying on large inflows of capital.
Even so, the changes seen in 2025 show a startup ecosystem maturing rather than retreating – one where capital is used more purposefully, exits become more predictable, and domestic market dynamics increasingly shape its growth. For investors, India is emerging less as a substitute for developed markets and more as a complementary space with its own risk profile, timelines and opportunities.
