India’s startup ecosystem raised nearly $11 billion in 2025, but investors wrote far fewer checks and became more selective about taking risks, underscoring how the world’s third-most funded startup market is diverging from the AI-fueled capital concentration seen in the US.
The selective approach was most evident in deal-making. According to Traxon, the number of startup funding rounds fell nearly 39% from a year ago to 1,518 deals. Total funding declined slightly – down slightly by 17% to $10.5 billion.
That pullback was not uniform. Seed-stage funding fell sharply to $1.1 billion in 2025, down 30% from 2024, as investors reduced more experimental bets. Amid tighter scrutiny of scale, profitability and exit prospects, late-stage funding also waned, falling to $5.5 billion, down 26% from last year. However, early-stage funding proved more resilient, increasing 7% year-over-year to $3.9 billion.
“The focus of capital deployment has increased towards early-stage startups,” said Neha Singh, co-founder of Traxon. He pointed to growing confidence in founders who can demonstrate strong product-market fit, revenue visibility and unit economics in a tight funding environment.
AI search
Nowhere was the recalibration more evident than in AI, as AI startups in India raised over $643 million across 100 deals in 2025, a marginal increase of 4.1% from a year earlier, according to Traxon data shared with TechCrunch. The capital was mainly deployed in startup and early development stages. Early-stage AI funding totaled $273.3 million, while the late-stage round raised $260 million, reflecting investors’ preference for application-based businesses over capital-intensive model development.
This was in stark contrast to the US, where AI funding grew to more than $121 billion across 765 rounds in 2025, per Traxon, a 141% jump from 2024, and was heavily dominated by late-stage deals.
“We don’t yet have an AI-first company in India that has revenues of $40-$50 million, if not $100 million, in a one-year time frame, and this is happening globally,” said Prayank Swaroop, partner at Accel.
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Swarup told TechCrunch that India lacks large basic model companies and it will take time to build the research depth, talent pipeline and patient capital required to compete at that level – leading to a more realistic focus on application-based AI and adjacent deep-tech areas in the near future.
This pragmatism has taken shape where investors are making long-term bets outside of core AI. Venture capital inflows into manufacturing and deep-tech sectors are increasing rapidly. These are some of the areas where India faces less global capital competition and has clear advantages in talent, cost structure and customer access.
While AI now absorbs a significant portion of investors’ attention, capital in India is arguably more evenly distributed than in the US, with substantial money still flowing into consumer, manufacturing, fintech, and deep-tech startups. Swarup said advanced manufacturing in particular has emerged as a long-term opportunity, with the number of such startups increasing almost tenfold in the last four to five years – an area he described as a clear “right to win” for India given less global capital competition.
Rahul Taneja, partner at Lightspeed, said AI startups are expected to account for about 30-40% of deals in India in 2025, but he pointed to parallel growth in consumer-facing companies as changing behavior among India’s urban population creates demand for faster, more on-demand services – from instant commerce to home services – categories that depend on India’s scale and density rather than Silicon Valley-style capital intensity.
India vs America
Data from PitchBook shows that there is a huge gap in capital deployment between India and the US in 2025. According to PitchBook data as of December 23, US venture funding grew to $89.4 billion in the fourth quarter alone, while about $4.2 billion was raised by Indian startups in the same period.
However, that difference doesn’t 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 could shape business models. Categories like instant commerce and on-demand services have gained far more traction in India than in the US, reflecting local economics rather than a lack of ambition among founders or investors.
Recently, Lightspeed raised $9 billion in fresh capital with an emphasis on AI, but Taneja said the move does not signal a wholesale change in the company’s India strategy. He said the US fund is geared towards a different market and maturity cycle, while Lightspeed’s Indian arm will continue to support consumer startups while selectively exploring AI opportunities based on local demand rather than global capital intensity.
Nuances in India’s Startup Ecosystem
India’s startup ecosystem also saw a decline in funding for women-led startups. According to the Traxon report, capital invested in tech startups founded by women remained relatively stable at about $1 billion in 2025, down 3% from a year earlier. Yet, that title picture hid an intense tension beneath the surface. The number of funding rounds among startups founded by women declined by 40%, while their first-time funded counterparts declined by 36%.
Overall, investor participation declined sharply as selectivity increased, with about 3,170 investors taking part in funding rounds in India this year, down 53% from about 6,800 a year ago, according to Traxon data shared with TechCrunch. India-based investors accounted for almost half of that activity, with around 1,500 domestic funds and angels participating – a sign that local capital played a more prominent role as global investors turned cautious.
Activity also became more concentrated among a small group of frequent supporters. Traxon data shows that Inflection Point Ventures emerged as the most active investor by participating in 36 funding rounds, followed by Accel with 34.
Indian government’s involvement in the startup ecosystem becomes more visible in 2025. New Delhi in January announced a $1.15 billion Fund of Funds to expand capital access for startups, followed by a Rs 1 trillion ($12 billion) research, development and innovation plan for sectors such as energy transition, quantum computing, robotics, space technology, biotech and AI, using a mix of long-term loans, equity infusion and allocation to deep-tech funds.
That pressure has also begun to catalyze private capital. Increased government involvement helped spur a commitment of nearly $2 billion from U.S. and Indian venture capital and private equity firms, including Accel, Bloom Ventures and Celesta Capital, to support deep-tech startups – an effort that included Nvidia as an advisor and attracted Qualcomm Ventures. Additionally, the Indian government also co-led $32 million in funding for quantum computing startup QpiAI earlier this year – a rare federal move.
This increased state involvement has helped reduce a risk that has long been overlooked by investors: regulatory uncertainty. “One of the biggest risks you don’t want to risk is what happens if the regulation changes,” said Lightspeed’s Taneja.
As government entities become more familiar with the startup ecosystem, policy is more likely to evolve along with it – reducing uncertainty for investors who favor companies with longer growth cycles, Taneja said.
exit in india
The reduced uncertainty is already visible to some extent in exit markets. According to Traxon, India saw a steady pipeline of technology IPOs over the past two years, with 42 tech companies going public in 2025, up 17% from 36 in 2024. Most of the demand for those listings came from domestic institutional and retail investors, alleviating 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, Traxon data shows.
Accel’s Swarup said investors had long been concerned that India’s public markets were predominantly sustained by foreign capital, raising questions about exit sustainability during a global recession. “This year has seen that decline,” he said, pointing to the growing role of domestic investors in absorbing technology listings – a change that has made exits more predictable and reduced reliance on volatile foreign inflows.
India’s unicorn pipeline to 2025 also reflected the shift towards moderation. 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, pointing to a more measured path compared to both previous years and global peers.
As India moves towards 2026, challenges remain, particularly how it positions itself in the global race for AI and whether late-stage funding can go deep without relying on external capital inflows.
Still, the changes seen in 2025 point to a startup ecosystem that is maturing rather than lagging – where capital is being deployed more deliberately, exits are becoming more predictable, and domestic market dynamics are increasingly shaping its growth. For investors, India is emerging less as an alternative to developed markets and more as a complementary region with its own risk profile, timelines and opportunities.
