The $100 Billion Projection
The central finding of the Goldman Sachs report is a powerful one: India’s listed artificial intelligence market could expand by an additional $50 billion to $100 billion in market capitalisation over the next two to five years. This growth is expected
to come from a new generation of privately held AI companies going public through initial public offerings (IPOs). The investment bank's analysis suggests that as these innovative firms mature, they will look to the public markets for capital, creating a significant new segment for investors and dramatically increasing the value of India's listed AI ecosystem.
Spotlighting the 84 Contenders
To arrive at its projection, Goldman Sachs identified 84 privately held Indian companies that have significant exposure to the artificial intelligence value chain. These firms, dubbed ‘Private AI Contenders’, have a combined estimated current value of around $55 billion. The report further narrows its focus to 71 companies that are in the mid-to-late stages of their growth, estimating that 25 to 50 percent of this group could realistically go public within the next two to five years. The projection assumes these companies will list at a weighted average valuation that is roughly four times their current estimated private value, which is how the bank calculates the potential $50-$100 billion market cap injection.
Surging Investment and a Shifting Narrative
This forecast is underpinned by a dramatic increase in private funding for AI in India. According to the report, private equity investment in Indian AI startups has tripled since 2024, rising from $1.6 billion to around $5 billion in 2025. In fact, funding in the first nine months of 2026 has already matched the entirety of 2025, suggesting a record-breaking year. This surge has quadrupled AI's share of total private equity funding in India to about 20 percent. Citing Stanford University's 2026 AI Index Report, the analysis notes that India now ranks fourth globally for the number of newly funded AI companies and sixth for overall private AI funding, challenging any perception that the country is on the periphery of the global AI boom.
Beyond Software to Core Infrastructure
The report highlights that this new wave of IPOs will broaden India's listed AI universe significantly. Currently, much of the public market exposure to AI is through IT services firms. However, the 84 companies identified span the entire value chain. The largest segment by value, estimated at $35 billion, comprises upstream ‘AI Enablers’—companies involved in essential infrastructure like power, semiconductors, and data centres. Potential listings would bring a variety of new business models to the public market, including dedicated data centre operators, enterprise AI service providers, conversational AI platforms, and specialists in healthcare AI and computer vision. This counters the narrative of India as an 'anti-AI' trade by showing robust growth in the foundational layers of the AI economy.
Challenges and the Road Ahead
While the opportunity is immense, the path forward requires navigating certain realities. Goldman Sachs notes that hard disclosures on AI-specific revenue and investments remain limited among most companies, making precise analysis challenging. Much of the insight is currently derived from textual data analysis of management commentary, where mentions of 'AI' have sharply increased across numerous sectors beyond just IT. Furthermore, while a separate Goldman Sachs report identified a basket of 42 existing 'AI Enablers' that have significantly outperformed the broader market in 2026, it also noted that they trade at a high premium. For the projected IPO boom to materialize, these private companies must successfully scale their operations and demonstrate clear paths to profitability that justify their high anticipated valuations in the public market.
