Investment bank Goldman Sachs believes that India's artificial intelligence (AI) ecosystem has the potential to add between $50 and $100 billion to the country's market capitalization over the next two to five years. This growth is driven by an expected wave of initial public offerings (IPOs).
Goldman Sachs estimates that during this period, 25–50 percent of nearly 70 private AI companies in the mid-to-late development stage will go public. With a weighted average valuation approximately four times higher than the current assumed value, these companies will expand the representation of the Indian AI segment in public markets.
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In a joint note dated October 19, Timothy Mou, Co-Head of Asia Macro Research and Chief Strategist for Asia-Pacific Equities at Goldman Sachs, noted that listings could expand the universe of AI in India by bringing underrepresented segments of the AI value chain to public markets.
According to the Goldman Sachs report, funding for AI startups in India through private equity (PE) has tripled since 2024. Furthermore, the share of AI in the total volume of PE allocations has increased fourfold, reaching about one-fifth of all private capital directed to India. According to Stanford University's AI Index for 2026, India is now among the top six global leaders in attracting private funding for AI and among the top four in the number of new AI companies, contradicting the notion of India's peripheral position in global AI development.
Goldman Sachs identified 84 private companies as 'Private AI Contenders' with a combined current valuation of $55 billion. These companies account for almost 40 percent of all private capital raised in India's AI sector since 2025 and cover the entire value chain—from infrastructure providers and core AI developers to enterprises implementing AI across various industries.
The largest segment by value is 'upstream AI enablers.' These companies are involved in energy generation, power equipment, transmission, semiconductor supply chains, chip design, quantum computing, data centers, cloud services, and data management. Goldman Sachs values the current worth of this segment at $35 billion, making it the largest potential source for future AI-related listings.
'Downstream AI adopters' represent the most numerous group, comprising 42 companies—about half of the identified cohort—with a combined estimated valuation of $18 billion. These enterprises apply AI in areas such as computer vision, conversational AI, robotics, and edge computing, as well as in healthcare, financial services, enterprise software, defense, cybersecurity, and commerce.
The mid-tier segment, which includes core AI developers engaged in fundamental research, model training, and AI operations, remains relatively small. It comprises only seven companies with a combined estimated valuation of $2 billion.
Goldman Sachs forecasts that upstream AI enablers could account for 66 percent of potential listings, followed by downstream AI adopters at 31 percent, and core mid-tier AI drivers at 3 percent.
Although the projected increase is modest compared to the $670 billion universe of AI enabling technologies defined by the bank in a previous analysis, the broader significance lies in expanding India's AI ecosystem into the public market. Goldman Sachs notes that potential IPOs could introduce previously underrepresented entities, including data center operators, corporate AI service providers, cloud and data management systems, and AI specialists in healthcare and computer vision.
These companies are concentrated in established technological and business hubs, led by Bengaluru, Delhi-NCR, Mumbai, and Hyderabad, while Ahmedabad, Pune, and Chennai are beginning to emerge as additional centers of activity.