The New Priorities in Tech Spending
Global IT spending is projected to surge to $6.37 trillion in 2026, marking a significant 14.2% increase from the previous year, according to recent figures from technology research firm Gartner. But the story isn't just about growth; it's about where
the money is going. The forecast reveals a dramatic pivot in corporate strategy. The biggest gains are no longer in personal devices like laptops and smartphones, but in the foundational infrastructure that powers modern business. Spending on data centre systems is expected to see the most explosive growth, rocketing up by 62.5% to reach $822 billion. Following closely are cloud infrastructure (IaaS) and software, projected to grow by 29.3% and 15.5% respectively. In stark contrast, the devices segment is predicted to grow by a more modest 9.8%. This isn't just a statistical anomaly; it's a clear signal that enterprises are investing in capabilities, not just hardware.
The Driving Force: Artificial Intelligence
The single biggest catalyst for this monumental shift is the race to deploy artificial intelligence. Gartner analysts have described the global build-out of AI compute capacity as potentially the largest infrastructure project in human history. Companies are pouring resources into AI-optimised servers, specialised software, and the cloud platforms needed to run complex models. This has created a voracious appetite for data centre capacity, from massive hyperscale facilities to upgraded enterprise-owned sites capable of handling intense AI workloads. This AI-driven demand is so powerful that it's altering market dynamics, causing prices for high-performance memory and other specialised components to rise. As a result, businesses are becoming more selective, funnelling funds into technology that directly supports their AI ambitions while pulling back elsewhere.
From Ownership to Access: The Cloud and Software Boom
The surging investment in cloud and software reflects a deeper change in how businesses consume technology. Instead of buying and managing their own hardware and applications (a capital expense), they are increasingly paying for access through subscriptions (an operational expense). Cloud infrastructure services offer the flexibility to scale resources up or down as needed, which is crucial for unpredictable AI workloads. Software spending, meanwhile, is growing as AI capabilities become embedded in nearly every application, from customer relationship management to enterprise resource planning. This move towards service-based models allows companies to access the latest innovations without the massive upfront cost and maintenance burden of traditional IT, even if it requires more disciplined governance to manage fluctuating costs.
Why Devices Are Growing Slower
The devices segment, which includes PCs, tablets, and mobile phones, isn't shrinking, but its growth has been eclipsed. There are several reasons for this. Firstly, markets in many parts of the world are saturated; most people who need a device already have one. Secondly, the pace of innovation has slowed, leading to longer replacement cycles. A three-year-old laptop or smartphone is often perfectly adequate, giving users less incentive to upgrade. Finally, economic pressures and rising component costs, partly fuelled by the AI hardware boom, are impacting the market. CIOs are focusing their limited budgets on strategic priorities like AI and cloud, which means discretionary spending on new device fleets is often deferred unless essential.
The Impact on India
This global trend is strongly reflected in India, where IT spending is forecast to exceed $176 billion in 2026. Indian enterprises are aggressively adopting digital technologies, with data centre systems and software projected to be the fastest-growing segments. The demand for AI-ready infrastructure, data sovereignty regulations, and the expansion of global capability centres are all fuelling investment in local data centres and cloud services. For India's massive IT services sector, this shift presents both an opportunity and a challenge. While there is huge demand for skills in cloud migration and AI implementation, clients also expect service providers to leverage AI to become more efficient, putting pressure on pricing. The surge in global hardware costs will also impact Indian enterprises' IT budgets, requiring careful planning and strategy to harness the power of AI without breaking the bank.
