The India AI infrastructure market outlook to 2030 signals a structural transition from experimentation-led adoption to scaled, production-grade deployment. While enterprise and government demand for AI continues to expand, realized growth is increasingly governed by the speed and certainty of infrastructure capacity deployment across power, data centers, and cloud platforms.
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Introduction
A new India AI Infrastructure Market Outlook to 2030 finds that the country’s AI infrastructure ecosystem is entering a structurally important phase. As artificial intelligence adoption expands from pilots to scaled deployment across enterprises, government institutions, and digital platforms, infrastructure has emerged as the binding constraint shaping outcomes. AI infrastructure in India now encompasses data centers, cloud infrastructure platforms such as Infrastructure-as-a-Service and Platform-as-a-Service, high-performance compute resources, networking and interconnection, power and cooling systems, and the platforms required to train, deploy, and operate AI models at scale.
The timing of this outlook is critical. India’s digital infrastructure base, historically built to support consumer internet usage and conventional enterprise IT workloads, is being stretched by AI-driven applications that are far more compute-dense, power-intensive, and network-sensitive. As a result, infrastructure strategy is shifting from demand enablement toward capacity planning, commissioning timelines, and power certainty. Key Findings
- India’s AI infrastructure market is entering a cap…