Worldwide IT spending is expected to grow 14.2% to $6.37 trillion in 2026, largely fueled by a massive increase in AI-related infrastructure investments. This update highlights a significant shift in capital allocation toward data center systems and cloud platforms as companies race to build AI compute capacity.
Detailed Coverage
Global technology spending is set for a substantial increase as organizations accelerate their adoption of artificial intelligence. Gartner has revised its outlook, projecting total worldwide IT spending to reach $6.37 trillion in 2026. This represents a 14.2% growth rate, reflecting a sharp increase in capital allocated toward building the infrastructure necessary to support AI applications.
Data Center Spending Surge
The most significant change is concentrated in data center systems, where spending is forecast to jump 62.5% to $822 billion in 2026. This follows a high-growth phase in 2025, where investments in this segment rose by 51.6%. The primary driver behind this trend is the demand for specialized AI servers and the power and cooling infrastructure needed to operate them. For Indian investors, this trend highlights the importance of hardware suppliers, cloud providers, and managed data center operators, as global demand for high-performance computing components remains elevated.
Software and Cloud Growth
Beyond hardware, software spending is expected to grow by 15.5%, reaching $1.47 trillion in 2026. Infrastructure-as-a-service, or IaaS, is projected to rise by 29.3% to $287 billion. As enterprises transition their workloads to AI-ready cloud environments, firms providing cloud management, cybersecurity, and intelligent software ecosystems are likely to see sustained demand. Meanwhile, traditional device spending is expected to grow at a more moderate 9.8%, reflecting a shift in focus from standard hardware to AI-optimized systems.
Investor Monitorables and Risks
While the growth figures are strong, investors may track several factors that could influence these projections. First, the industry continues to navigate semiconductor and memory supply constraints. Any disruption in the supply chain for advanced AI chips could lead to project delays for data center builds. Second, while demand for AI infrastructure is high, companies must justify these high capital costs through improved productivity or new revenue streams. If organizations fail to realize a return on these large investments, future spending may face pressure or correction. Finally, the high cost of electricity and specialized cooling systems required for these new data centers is a rising operational expense that may affect the profit margins of service providers. Monitoring how efficiently these companies manage their energy costs and supply chain partnerships will be essential to assessing the long-term impact of this spending boom.