India’s startup ecosystem raised nearly $11 billion in 2025, but investors are writing far fewer checks and becoming more selective about where they take risks, highlighting how the world’s third-rich startup market is moving away from the AI-powered capital concentration seen in the United States.
The selective approach was most evident in trading. According to Tracxn, the number of startup funding rounds totaled 1,518, down nearly 39% year over year. Total funding declined even more modestly, falling more than 17% to $10.5 billion.
That pullback was uneven. Seed-stage funding plummeted to $1.1 billion in 2025, a 30% decline from 2024, as investors refrained from more experimental investments. Amid increased scrutiny on size, profitability and exit prospects, late-stage funding also cooled, falling 26% year over year to $5.5 billion. However, early-stage funding proved more resilient, reaching $3.9 billion, up 7% year over year.

“The focus of capital deployment is increasing towards early-stage startups,” said Neha Singh, co-founder of Tracxn, noting that in a tougher funding environment, there is increased reliance on founders who can demonstrate stronger product-market fit, revenue visibility, and unit economics.
Exploration of AI
Nowhere was that realignment more evident than in AI, as Indian AI startups raised just over $643 million across 100 deals in 2025, a modest 4.1% year-over-year increase, according to Tracxn data shared with TechCrunch. Capital was primarily distributed in the initial and early growth stages. Early-stage AI funding totaled $273.3 million, with later-stage rounds raising $260 million. This reflects investors’ preference for application-driven businesses over capital-intensive model development.
This is in contrast to AI funding in 2025, which soared to more than $121 billion in 765 rounds, an increase of 141% from 2024, with late-stage deals dominating, according to Tracxn.
“We don’t have AI-first companies in India yet, but within a year, we’re going to see $40 million to $50 million in revenue, if not $100 million. That’s what’s happening globally,” said Prayank Swaroop, partner at Accel.
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Swaroop told TechCrunch that application-driven AI and adjacent deep technology areas will be a more realistic focus in the near term, as India lacks large-scale foundational model companies and building the research depth, talent pipeline and patient capital needed to compete at that tier will take time.
This realism has shaped investors’ long-term bets beyond core AI. Venture capital is increasingly flowing into manufacturing and deep tech sectors. These are some of the areas where India faces less global capital competition and has clear advantages in terms of talent, cost structure and customer access.
While AI is currently capturing a significant portion of investor attention, capital in India is perhaps more evenly distributed than in the US, with large amounts still flowing into consumer, manufacturing, fintech and deep tech startups. Swaroop pointed out that advanced manufacturing in particular has emerged as a long-term opportunity, with the number of such startups increasing nearly 10 times in the last four to five years. Given the decline in global capital competition, this sector is a clear “win-win” for India, he said.
Rahul Taneja, a partner at Lightspeed, said AI startups will account for roughly 30-40% of deals in India in 2025, but also pointed to the changing behavior of India’s urban population, creating demand for faster, more on-demand services (from quick commerce to home services) that will influence India’s scale and density more than Silicon Valley-style capital intensity, as well as the proliferation of consumer-facing companies.
india vs usa
Pitchbook data shows clear differences in capital deployment in India and the US in 2025. U.S. venture funding soared to $89.4 billion in the fourth quarter alone, while Indian startups raised about $4.2 billion in the same period, according to PitchBook data through Dec. 23.

However, that gap doesn’t tell the whole story.
Lightspeed’s Taneja cautioned against making direct comparisons between India and the US, arguing that differences in population density, labor costs and consumer behavior shape the scale of business models. Categories like quick commerce and on-demand services are attracting much more attention in India than in the US, reflecting local economic conditions rather than a lack of ambition on the part of founders and investors.
Lightspeed recently raised $9 billion in new funding with a focus on AI, but Taneja said the move does not signal a major shift in the company’s India strategy. He said that while the US fund is geared towards different markets and maturity cycles, Lightspeed’s India arm will continue to support consumer startups while selectively exploring AI opportunities that are shaped by local demand rather than global capital concentration.
The nuances of the Indian startup ecosystem
India’s startup ecosystem is also facing tight funding for women-led startups. Tracxn reports that investment capital in female-founded tech startups remained relatively stable at around $1 billion in 2025, down 3% from the previous year. Still, the headline numbers masked a sharper rebound behind the scenes. The number of funding rounds for women-founded startups fell by 40%, and the number of startups raising money for the first time fell by 36%.

Overall, investor participation narrowed sharply as selectivity increased, with around 3,170 investors participating in funding rounds in India this year, down 53% from around 6,800 a year ago, according to Tracxn data shared with TechCrunch. India-based investors accounted for almost half of the activity, with around 1,500 domestic funds and angels participating. This is a sign that local capital is playing a more important role as global investors become cautious.
Activity also became more concentrated among a small group of repeat backers. According to Tracxn data, Inflection Point Ventures emerged as the most active investor, participating in 36 funding rounds, followed by Accel with 34 participations.
The Indian government’s participation in the startup ecosystem became even more prominent in 2025. In January, New Delhi announced a $1.15 billion fund of funds to expand capital access to startups, followed by a ₹1 trillion ($12 billion) research, development and innovation plan targeting areas such as the energy transition, quantum computing, robotics, space technology, biotech and AI, with a mix of long-term financing, equity injections and allocations to deep tech. funds.
This movement is beginning to affect private capital as well. The government’s increased involvement has prompted nearly $2 billion in commitments to support deep tech startups from U.S. and Indian venture capital and private equity firms, including Accel, Blume Ventures, and Celesta Capital. The effort brought Nvidia on board as an advisor and also attracted Qualcomm Ventures. Additionally, the Indian government co-led $32 million in funding for quantum computing startup QpiAI earlier this year. This is an unprecedented move for the federal government.
The country’s increased involvement is helping to mitigate the risk of regulatory uncertainty that investors have long cited. “One of the biggest risks we don’t want to take on is what happens if regulations change,” says Lightspeed’s Taneja.
As government agencies become more familiar with the startup ecosystem, policies are likely to evolve with them, reducing uncertainty for investors backing companies with long development cycles, Taneja added.
Withdrawal in India
The reduction in uncertainty is already starting to show up to some extent in exit markets. According to Tracxn, technology IPOs have been steady in India over the past two years, with 42 technology companies going public in 2025, up 17% from 36 in 2024. Much of the demand for these listings has come from domestic institutional and retail investors, allaying long-standing concerns that exiting Indian startups is over-reliant on foreign capital. M&A activity also picked up, with the number of acquisitions increasing 7% year-on-year to 136, according to Tracxn data.
Accel’s Swaroop said investors have long been concerned that India’s public markets are largely supported by foreign capital, raising questions about the durability of an exit during a global recession. “This year has disproved that,” he said, pointing to the growing role of domestic investors in absorbing technology listings, meaning exits have become more predictable and there has been less reliance on volatile foreign funding.

India’s 2025 unicorn pipeline also reflects that shift towards restraint. While the number of new unicorns was flat year-over-year, Indian startups reached $1 billion valuations with less capital, fewer funding rounds, and a smaller pool of institutional investors, indicating a more cautious path to scale compared to the previous year and their global peers.
The challenges facing India heading into 2026 remain, particularly in terms of how the country positions itself in the global race for AI and whether it can deepen late-stage financing without relying on large capital inflows.
Still, the changes we’ll see in 2025 show that the startup ecosystem is maturing rather than regressing. This means that capital will be deployed more carefully, exits will be more predictable, and domestic market dynamics will increasingly shape growth. For investors, India is emerging not as a substitute for developed markets, but as a complementary arena with its own risk profile, timelines and opportunities.
