Avendus Capital has projected that India’s rapidly expanding artificial intelligence infrastructure ecosystem could drive the deployment of nearly 700,000 GPUs over the next five years, creating an estimated $23-billion investment opportunity in the country’s AI data centre market. The findings, highlighted in a recent report by the financial services firm, underline the growing importance of AI computing infrastructure as India accelerates digital transformation efforts.
According to the report, the increasing demand for generative AI models, cloud computing services, enterprise automation, and large-scale data processing is expected to significantly boost investments in high-performance data centres and GPU infrastructure. Graphics Processing Units, commonly known as GPUs, have become critical for training and operating AI models because of their ability to process massive datasets at high speed.
Industry experts believe India is entering a major infrastructure-building phase as businesses, startups, and government agencies increasingly adopt AI technologies across sectors including healthcare, finance, manufacturing, education, e-commerce, and cybersecurity. The report reportedly estimates that AI-focused data centre capacity could witness exponential growth as demand for advanced computing power rises sharply.
Analysts noted that India currently lags behind countries like the United States and China in large-scale AI infrastructure deployment, but rising domestic AI adoption and supportive government policies could rapidly narrow the gap. Several global technology companies and cloud service providers have already announced plans to expand their data centre presence in India over the last few years.
The report also suggested that the growing need for AI-ready infrastructure could create significant opportunities for data centre developers, semiconductor suppliers, energy providers, and cloud computing firms operating in the Indian market.
Rising AI Adoption Driving Massive Demand for Computing Infrastructure:
India’s AI ecosystem has witnessed rapid expansion as businesses increasingly integrate automation, machine learning, and generative AI tools into their operations. Experts say this shift is creating unprecedented demand for advanced computing infrastructure capable of handling AI workloads efficiently.
GPU-based computing has become especially important because modern AI systems require massive parallel processing power to train large language models, image generation systems, recommendation engines, and enterprise automation tools. Companies across industries are now investing heavily in AI capabilities to improve efficiency, customer engagement, and operational decision-making.
According to the Avendus report, India’s AI data centre market could become one of the fastest-growing segments within the country’s broader digital infrastructure industry. Analysts believe demand for AI-focused facilities will accelerate further as businesses seek lower-latency computing, data localisation compliance, and scalable cloud infrastructure.
Industry observers also pointed out that global technology giants including Google, Microsoft, Amazon, and NVIDIA continue investing aggressively in AI infrastructure globally. India is increasingly emerging as a strategic market for these companies because of its growing digital economy, large developer ecosystem, and expanding enterprise technology adoption.
Government-backed initiatives promoting semiconductor manufacturing, digital public infrastructure, and AI innovation are also expected to support long-term growth in the sector. Analysts say policy support will remain crucial in attracting large-scale investments into AI infrastructure development.
Data Centres, Energy Needs and Semiconductor Supply to Shape Growth:
The report highlighted that AI data centres require far more power, cooling infrastructure, and networking capacity compared to traditional data centres. As a result, India’s AI infrastructure expansion is expected to create opportunities across multiple industries beyond technology alone.
Experts believe reliable electricity supply and renewable energy integration will become critical challenges as AI-focused data centres scale rapidly. GPU-heavy workloads consume enormous amounts of power, making energy efficiency and sustainability important priorities for infrastructure developers.
Semiconductor availability is another major factor influencing AI expansion globally. High-performance GPUs used for AI processing remain dominated by a small number of global suppliers, particularly NVIDIA. Rising international demand for AI chips has intensified competition among countries and companies seeking access to advanced computing hardware.
India has also been trying to strengthen its domestic semiconductor ecosystem through incentive programmes and manufacturing partnerships. While the country currently depends heavily on imported chips, policymakers hope to gradually build local semiconductor production capabilities over the coming years.
Analysts noted that AI infrastructure investments could have a multiplier effect on India’s digital economy by supporting startups, research institutions, cloud providers, and enterprise innovation. The rapid adoption of generative AI applications across industries is expected to further increase demand for computing resources and specialised AI facilities.
Tech Industry and Investors React to India’s AI Infrastructure Opportunity:
The Avendus report generated significant attention across technology and investment communities online.
“India’s AI data centres could drive deployment of 700,000 GPUs in five years”~Moneycontrol
“AI infrastructure becoming one of the biggest investment themes globally”~CNBC-TV18
“GPU demand expected to surge as generative AI adoption accelerates”~NVIDIA Newsroom
“India’s digital infrastructure story entering next phase with AI data centres”~ETtech
Several investors and technology experts online described AI infrastructure as one of India’s biggest upcoming investment opportunities. Others noted that building large-scale AI-ready data centres would require coordinated efforts across technology, power, semiconductor, and policy ecosystems to ensure long-term competitiveness.
