Private equity (PE) funding in India’s artificial intelligence (AI) startups has tripled since 2024, potentially creating a pipeline of companies that could add between $50 billion and $100 billion to the market capitalisation of India’s listed AI sector through initial public offerings (IPOs) over the next two to five years, according to a report by Goldman Sachs.
The report, titled India AI Complex, Part 2: The Rise of Private AI Contenders, Widening the Opportunity Set, examines the expanding pool of privately funded AI companies in India and their potential to broaden the country’s listed AI investment landscape.
According to the report, the anticipated IPO pipeline will be driven by upstream AI enablers and downstream AI adopters, bringing greater visibility to segments of the AI ecosystem that remain underrepresented in public markets.
84 Private AI Contenders Identified
Goldman Sachs identified 84 companies as “Private AI Contenders”, estimating their combined current value at approximately $55 billion. The report said these companies account for around 40% of all AI-related private capital raised in India since 2025.
The cohort spans multiple stages of the AI value chain, from companies developing foundational infrastructure and core AI models to businesses incorporating AI and machine learning into their products and services.
The report categorises these companies into three broad segments:
- Upstream AI Enablers: Businesses building the infrastructure required for AI development and deployment.
- Midstream AI Core Engines: Companies focused on foundational model research and development.
- Downstream AI Adopters: Businesses applying AI and machine learning across different industries and end-markets.
The companies range from early-stage ventures to mid- and late-stage businesses, reflecting the breadth of India’s private AI ecosystem.
The report suggests that this expanding base of privately funded companies could create opportunities for a wider range of AI-related businesses to enter public markets over the coming years.
AI’s Share of Private Capital Allocation Rises
The increase in funding for Indian AI startups reflects a broader shift in private capital allocation towards AI-related businesses.
Goldman Sachs reported that AI’s share of total private equity allocation in India has risen four-fold to approximately one-fifth of all private capital deployed in the country.
The report also noted that India ranks among the world’s top six destinations for private AI funding and the top four for newly funded AI companies, citing Stanford University’s 2026 AI Index Report.
These indicators challenge the perception that India remains peripheral to the global AI buildout. Instead, the growth in funding suggests that investors are increasingly allocating capital to Indian companies developing AI technologies and applying them across commercial markets.
The expansion of funding also points to a maturing investment pipeline, with more companies progressing towards stages where public-market listings may become viable.
IPOs Could Widen India’s Listed AI Opportunity
Goldman Sachs estimates that the pipeline of privately funded AI companies could contribute an incremental $50 billion to $100 billion in market capitalisation to India’s listed AI complex through IPOs over the next two to five years.
The potential increase would come from companies across the AI value chain, rather than from a single category of businesses.
Upstream AI enablers could benefit from rising demand for computing infrastructure and other foundational technologies, while downstream adopters could represent companies integrating AI into existing business models across sectors.
The report said accelerating capital allocation towards AI, combined with a maturing pipeline of companies, could widen the breadth of India’s listed AI investment opportunity in the coming years.
However, the estimated market capitalisation represents potential future value rather than a guaranteed outcome. Actual IPO activity and valuations will depend on factors including company performance, investor demand, market conditions and listing readiness.
AI Infrastructure Continues to Shape Listed Markets
In the first part of its India AI Complex report, Goldman Sachs identified a group of listed AI enablers with a combined market capitalisation of approximately $670 billion. The report said this cohort had delivered India’s strongest equity returns in 2026 to date.
The group is primarily concentrated in AI infrastructure, including power generation, semiconductors and data centres.
These segments provide essential capabilities for AI development and deployment, from computing capacity to the electricity and physical infrastructure needed to support data-intensive workloads.
The latest report expands the analysis beyond these listed infrastructure-oriented companies to consider private businesses developing AI models and adopting AI across a wider range of industries.
This broader perspective highlights how the AI investment landscape could evolve as capital moves across infrastructure, technology development and commercial applications.
India’s AI Investment Landscape Enters a New Phase
The findings point to a growing role for privately funded Indian AI companies in shaping the country’s future public-market opportunity.
With 84 private AI contenders valued at an estimated $55 billion, increasing PE allocations and a potential IPO pipeline of $50 billion to $100 billion, the sector could become a more prominent component of India’s listed equity landscape over the next several years.
For investors, the opportunity extends beyond companies building AI infrastructure to include model developers and businesses using AI to transform established industries.
As funding continues to flow into the ecosystem, the ability of these companies to demonstrate commercial traction, build scalable technology and meet public-market expectations will be critical to converting private investment into lasting market value.
By : Vanshika Tayal
