India’s artificial intelligence sector could add between $50 billion and $100 billion to the country’s listed market capitalisation over the next two to five years, as privately held AI companies consider entering the stock market, according to a report by Goldman Sachs.
The investment bank estimates that 25 to 50 per cent of approximately 70 mid-to-late-stage private companies involved in India’s AI ecosystem could pursue initial public offerings during this period. Under its projection, the companies could list at a weighted average valuation of around four times their current estimated value.
The estimate represents a potential opportunity rather than a confirmed pipeline of IPOs. The final contribution to market capitalisation will depend on individual companies’ business performance, funding needs, market conditions, investor demand and decisions about when to list.
India’s AI Investment Landscape Is Expanding
Goldman Sachs has highlighted the rapid growth of private capital flowing into India’s AI ecosystem. According to the report, private equity funding for Indian AI startups has tripled since 2024, while AI’s share of total private equity allocations has increased significantly.
The report also points to India’s growing position in global AI investment. Data cited from Stanford University’s 2026 AI Index Report places India among the leading global destinations for private AI funding and among the top countries for newly funded AI companies.
This growth reflects increasing activity across the AI value chain. Investment is not limited to businesses developing AI models. It also includes companies providing the computing infrastructure, data services, cloud platforms and specialised applications required to develop and deploy AI technology.
The expanding ecosystem could create more opportunities for companies to raise funds through public markets, provided they can demonstrate sustainable growth and meet regulatory and listing requirements.
Goldman Sachs Identifies 84 Private AI Companies
Goldman Sachs has identified 84 privately held Indian companies with significant exposure to artificial intelligence, classifying them as potential contenders in the sector. Their combined estimated value is approximately $55 billion.
Of these companies, around 70 are at growth, late-stage, infrastructure or buyout investment stages and form the main group considered in the bank’s potential IPO scenario. Their combined estimated value is approximately $54 billion.
The report assesses how a portion of these companies could move from private ownership to public listing over the next two to five years. If 25 to 50 per cent of the group went public at valuations averaging around four times their current estimated value, the resulting listings could add an estimated $50 billion to $100 billion to India’s listed AI market.
These figures are based on assumptions rather than guaranteed outcomes. Not every company identified by the report will necessarily pursue an IPO, and the valuation achieved at listing could differ substantially from the estimated multiple.
AI Infrastructure Could Lead Potential Listings
The report identifies AI infrastructure and related services as the largest segment by estimated value among the companies assessed. These businesses include companies involved in power generation, electricity transmission, semiconductor supply chains, chip design, data centres, cloud services and data management.
Goldman Sachs estimates the current value of this upstream segment at around $35 billion. The companies could play an important role in supporting the computing capacity and physical infrastructure required for AI development.
AI systems require substantial computing resources, reliable power supplies, storage and data processing capabilities. As businesses adopt AI tools and developers build more advanced systems, demand for these supporting services could increase.
However, the opportunity also carries challenges. Infrastructure businesses often require significant capital expenditure, and their profitability can be affected by energy costs, technology changes, competition and the speed at which customers adopt new services.
AI Adoption Across Industries Could Broaden the Market
Companies that use AI in commercial applications represent another important part of India’s private AI ecosystem. Goldman Sachs identifies 42 downstream AI adopters, with a combined estimated value of around $18 billion.
These businesses apply AI across areas such as healthcare, financial services, enterprise software, cybersecurity, defence, commerce, computer vision, conversational AI and robotics.
Their potential importance lies in the range of industries in which AI technology can be used. Rather than focusing exclusively on building computing infrastructure or foundational models, these companies develop products and services that apply AI to specific business needs.
For example, AI applications can support medical analysis, automate selected business processes, improve fraud detection, assist customer service and help organisations process large amounts of information. Commercial success, however, depends on whether these applications deliver measurable value, attract paying customers and maintain reliable performance.
Goldman Sachs also identifies a smaller group of core AI developers working on foundational research, model training and AI operations. The report estimates that this midstream segment includes seven companies with a combined value of approximately $2 billion.
What Potential IPOs Could Mean for India’s Stock Market
A wave of AI-related IPOs could expand the range of technology businesses available to public-market investors in India. The listed market could gain greater exposure to data centre operators, enterprise AI services, cloud and data management providers, healthcare AI companies and computer vision specialists.
A broader selection of listed companies could also help investors distinguish between businesses that build AI infrastructure, companies that develop core technology and firms that generate revenue by applying AI across industries.
For the companies themselves, listing could provide access to additional capital, increase public visibility and give early investors a route to sell some of their holdings. However, a public listing also brings greater disclosure requirements, regulatory obligations and scrutiny of financial performance.
The projected increase in market capitalisation should not be interpreted as a guaranteed increase in share prices or investment returns. Market capitalisation measures the combined market value of listed shares; it does not establish how much money companies will raise, nor does it guarantee that investors will earn profits.
Outlook for India’s AI Sector
The Goldman Sachs assessment highlights the growing importance of India’s AI ecosystem to the country’s capital markets. Rising private investment and activity across infrastructure, AI development and commercial applications could create a wider pool of potential public companies over the coming years.
Bengaluru, Delhi-NCR, Mumbai and Hyderabad are among the key centres identified for activity in the sector, with cities including Ahmedabad, Pune and Chennai also emerging as areas of interest.
Whether the projected $50 billion to $100 billion opportunity materialises will depend on companies’ readiness to list, their business fundamentals and the broader state of equity markets. For now, the Goldman Sachs estimate provides a scenario for how AI-related IPOs could broaden India’s listed technology sector over the next two to five years.
