India’s artificial intelligence sector is gaining significant global momentum as Bengaluru-based startup Emergent secured a $1.5 billion valuation following a $300 million Series C funding round.
Emergent and the Rise of No-Code AI
The recent capital injection into Emergent highlights a move toward democratizing technology for non-technical users. Co-founder and chief executive Mukund Jha noted that 70% of the startup’s users possess no prior coding experience. Over the past year, these entrepreneurs and small business owners have utilized the platform to build approximately 12 million applications. The funding round included participation from existing investors such as Khosla Ventures, SoftBank Vision Fund 2, Lightspeed, and Y Combinator, with new backing from Claypond and Sentinel Global.
Did you know? India currently hosts the broadest AI accelerator stack in the Asia-Pacific region, utilizing a mix of hardware from NVIDIA, AMD, and various hyperscaler silicon providers to support diverse AI training workloads.
Infrastructure and Talent: India’s Strategic Position
While India is rapidly increasing its AI footprint, it faces structural hurdles. Deepika Giri, head of research for AI, analytics, and data at IDC Asia Pacific, described the current pace of experimentation and workforce automation as “unusually fast” for a market of this scale. However, industry analysts maintain that the nation still trails global leaders in domestic chip production and frontier-scale foundation model development.

Mohammad Hassan, head of APAC dividend forecasting at S&P Global Market Intelligence, suggests that India’s vast engineering talent pool acts as a “trump card.” He notes that while recent funding rounds represent positive signals, they do not yet prove a total market shift.
Market Bottlenecks and Future Growth Projections
Data center capacity remains a primary constraint for India’s AI ambitions. According to IDC, 45% of Indian organizations are expected to adopt specialized cloud services by 2026 to bypass current computing access bottlenecks. This move is essential for the effective training and inference of AI models.
Neil Shah, vice president of research at Counterpoint Research, estimates it will take three to four years for the local AI ecosystem to achieve a “flywheel effect.” The goal, as articulated by Prime Minister Modi during the February global AI summit, is for India to transition from an AI consumer to one of the world’s top three AI superpowers. Achieving this requires navigating the strategic risks associated with securing access to foundational models as global competition for such technology intensifies.
Pro Tip: For businesses looking to enter the Indian AI market, focus on “agentic” solutions. IDC research suggests this is the current primary area of focus for local enterprises aiming to automate workforce tasks at scale.
Frequently Asked Questions
What is the current valuation of Emergent?
Emergent is valued at $1.5 billion following a $300 million Series C funding round led by Creaegis.
Why is India considered an “AI laggard” by some analysts?
Experts point to the lack of domestic cutting-edge chip production, limited data center capacity, and the absence of a frontier-scale foundation model compared to U.S. or Chinese counterparts.
What role does India’s IT services sector play in AI?
India leverages its massive software talent pool to build applications on top of foreign foundational models, positioning itself as a creator of AI-driven tools for the global market.
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