The KPMG report on India's startup ecosystem, circulated in the first two weeks of June 2026, contains a data point that deserves to be elevated from footnote to headline: deep tech — startups in AI, robotics, biotech, quantum computing, and related technical fields — now accounts for approximately 12% of India's startup base, with more than 3,600 companies. More significantly, deep tech funding held up better than the broader market despite the year-on-year H1 decline. The Indian startup ecosystem is not just recovering from the 2022–23 funding winter. It is restructuring around genuinely harder, more defensible, more scientifically intensive businesses.

The $2.6 billion in total funding raised by Indian AI startups to date (Inc42's Indian AI Startup Tracker, 170+ companies) understates the actual investment flowing into the broader deep tech category. When biotech, advanced manufacturing, climate technology, and defence technology companies are included, the total deep tech funding figure is substantially larger. More importantly, the quality of these investments — measured by technical differentiation, seniority of investors, and strategic nature of the problems addressed — is higher than at any previous point in India's startup history.
The AI dimension is the largest and most visible. India's AI market is on course to become a $126 billion opportunity by 2030. More than 170 AI startups have raised over $2.6 billion collectively, building AI models, devices, and enterprise tools across applications from multilingual voice interfaces to industrial automation. On June 10, 2026, a unified AI platform announcement by major tech giants reshaped the competitive landscape — but India's domain-specific AI companies, with differentiation rooted in market specificity, are positioned to withstand this pressure.





