AI and Data Modernisation Fuel India’s Tech Spending Boom, Transform Enterprise Digital Growth
New Delhi, May 7 (BNP): India’s technology spending is witnessing a strong upswing, driven primarily by rapid adoption of artificial intelligence (AI) and large-scale data modernisation across industries, according to a recent industry report.
The report notes that enterprises are increasingly prioritising investments in AI-powered tools, cloud infrastructure, and advanced data systems as they shift away from legacy IT setups toward more agile, scalable digital architectures.
A key driver of this trend is the growing need for real-time insights and automation. AI is helping businesses streamline operations, improve decision-making speed, and enhance customer experience through predictive analytics and intelligent process automation.
At the same time, data modernisation is emerging as a foundational requirement for digital transformation. Companies are upgrading fragmented legacy systems into unified, cloud-based data platforms that allow faster processing, better data governance, and improved integration across business functions.
According to the report, this dual shift is enabling organisations to build more resilient and efficient digital ecosystems. It is also helping enterprises across banking, healthcare, retail, manufacturing, and public services adopt more data-driven and technology-led operating models.
The transformation is expected to generate significant demand for cloud services, AI solutions, and cybersecurity frameworks, while also expanding opportunities for technology providers and startups in the digital infrastructure space.
Industry experts say this trend is not just increasing IT budgets but fundamentally reshaping how businesses operate, compete, and innovate in India’s fast-evolving digital economy.
Overall, the report suggests that AI and data modernisation are becoming central pillars of India’s technology growth story, laying the foundation for the next phase of enterprise digital transformation.
