Nasdaq-listed Nutanix is expanding its focus on India as companies move sensitive AI data to private, local servers. The company reported $2.8 billion in revenue for fiscal year 2026, a 12% increase from the previous year. This strategy helps businesses maintain data control and manage costs by using a hybrid cloud model instead of relying solely on public cloud providers.
Nutanix is focusing on India as a key market for what it calls cloud repatriation. This is the process where companies move their digital work from big public clouds back to private, on-premise servers. The company’s move is driven by India's strict data residency laws and the need for businesses to keep sensitive AI data within the country’s borders. By offering a hybrid cloud model, Nutanix aims to help firms balance the use of public clouds with the need for better security and local control. The demand for this service is rising as Indian companies integrate advanced AI models into their operations. Public cloud infrastructure is often expensive and can create challenges regarding data privacy. Nutanix is working to solve this by providing software that helps data move easily between public and private environments. This allows businesses to keep critical data on their own servers while still using public cloud services for other tasks.
The company’s financial results highlight this growth. For the fiscal year 2026, Nutanix reported $2.8 billion in total revenue, which is a 12% increase from the previous year. Its annual recurring revenue reached $2.5 billion, marking a 16% rise. For fiscal year 2027, the company expects revenue to be between $3.18 billion and $3.23 billion. To support its goals, Nutanix is collaborating with major technology players like NVIDIA, Intel, AMD, and Hugging Face. These partnerships are meant to improve the performance of AI infrastructure and reduce costs for companies just starting their AI journey. While public cloud services remain a key part of the technology landscape, the current shift shows that many enterprises are moving toward a more balanced approach. For investors, the focus remains on whether this hybrid strategy can maintain growth as data security regulations tighten and more companies build their own AI capabilities.