India’s vast digital user base and cost-effective user acquisition set a strong foundation for scalable artificial intelligence (AI) products, with a forecast that the first AI app to reach 200 million users in India will likely be voice-led rather than English-prompted, according to a report by venture capital firm Arkam Ventures. The report also highlighted the potential for three or more AI-native services companies in India to achieve revenue exceeding $1 billion within five years, leveraging the country’s data depth.
Arkam Ventures projected that AI-native lending platforms in India will surpass all private banks combined in originating consumer credit over the next decade. Additionally, Indian startups are expected to benefit from infrastructure developments, with over $2.5 billion earmarked for AI data centers, providing them with a significant cost advantage over global counterparts and access to global revenue streams, thereby enhancing capital efficiency.
The report emphasized India’s pivotal role in driving the growth of global AI platforms, not only as consumers but also as creators of AI-driven solutions, citing the country’s 850 million digital users and robust developer ecosystem as key enablers. It outlined four key pillars for India’s AI future, including population-scale consumer AI with Indic language support, B2B AI products, globally competitive AI solutions, and AI-native services developed by Indian engineering teams using indigenous infrastructure.
Bala Srinivasa, Managing Director at Arkam Ventures, underscored the transformative potential of AI in expanding the benefits of digitization at a massive scale, highlighting the challenges around GPU supply, compute costs, and the need for indigenous AI infrastructure as opportunities being addressed by innovative founders, fostering a new wave of AI startups in India. Rahul Chandra, also a Managing Director at Arkam Ventures, expressed optimism that India’s most impactful AI companies will emerge at the convergence of cutting-edge technology and addressing substantial real-world challenges.
