Global IT Services Market Set to Hit $2T Amid Cloud Boom by 2028

As companies increasingly channel their efforts into the realm of cloud computing, the implications for the IT services market are momentous. With a projection that puts the global market at a staggering $2 trillion by 2028, it is evident that the gears of this expansive growth grind predominantly on the axis of cloud modernization. Infrastructure as a Service (IaaS)—a cornerstone offering of industry titans such as AWS, Microsoft, and Google Cloud—is at the forefront of this upsurge. It comes as little surprise that these hyperscalers are steering the ship, with predictions stating that IaaS spending is set to double over the course of the next five years.

Economic Turbulence and IT Services Revenue

Despite the promising forecast, the IT services landscape isn’t immune to the prevailing economic headwinds. Trade conflicts, burgeoning geopolitical strains, and astutely cautious budgeting have all played a part in modulating the immediate growth of IT services revenue. Yet, the sector remains poised for a robust average annual increase of 16% extending through to 2028. This development is fueled by enterprise strategies pivoting to take advantage of service-based technology procurement.

A Surge in Tech Spending

The global tech spending scenario is on the brink of hitting historic highs, with forecasts suggesting a crest above the $4.7 trillion threshold in 2023. This unprecedented spending spree could very well usher in the era of a $5 trillion tech industry. A significant share of this investment will channel into specialist areas such as advisory and implementation services, not to mention managed services, which are all poised to expand in accordance with the widening technology landscape.

The Emergence of Generative AI Consulting

The IT services market is on the cusp of a revolution, primarily driven by the surge in cloud computing. By 2028, it’s projected to hit an impressive $2 trillion mark, largely fueled by the push towards cloud modernization. Infrastructure as a Service (IaaS) is leading this change, with industry giants such as Amazon Web Services, Microsoft Azure, and Google Cloud at the helm. The Forrester report suggests a dramatic rise in the market share of these cloud providers, from 8% to an expected 15% by 2028, signaling a deep-seated transition to service-centric tech acquisition. This evolution underscores a strategic move by organizations to embrace the scalability, agility, and cost-savings associated with IaaS, doubling down on a usage-based purchasing model that aligns with modern enterprise needs for efficient cloud infrastructure management.

Explore more

AI and Generative AI Transform Global Corporate Banking

The high-stakes world of global corporate finance has finally severed its ties to the sluggish, paper-heavy traditions of the past, replacing the clatter of manual data entry with the silent, lightning-fast processing of neural networks. While the industry once viewed artificial intelligence as a speculative luxury confined to the periphery of experimental “innovation labs,” it has now matured into the

Is Auditability the New Standard for Agentic AI in Finance?

The days when a financial analyst could be mesmerized by a chatbot simply generating a coherent market summary have vanished, replaced by a rigorous demand for structural transparency. As financial institutions pivot from experimental generative models to autonomous agents capable of managing liquidity and executing trades, the “wow factor” has been eclipsed by the cold reality of production-grade requirements. In

How to Bridge the Execution Gap in Customer Experience

The modern enterprise often functions like a sophisticated supercomputer that possesses every piece of relevant information about a customer yet remains fundamentally incapable of addressing a simple inquiry without requiring the individual to repeat their identity multiple times across different departments. This jarring reality highlights a systemic failure known as the execution gap—a void where multi-million dollar investments in marketing

Trend Analysis: AI Driven DevSecOps Orchestration

The velocity of software production has reached a point where human intervention is no longer the primary driver of development, but rather the most significant bottleneck in the security lifecycle. As generative tools produce massive volumes of functional code in seconds, the traditional manual review process has effectively crumbled under the weight of machine-generated output. This shift has created a

Navigating Kubernetes Complexity With FinOps and DevOps Culture

The rapid transition from static virtual machine environments to the fluid, containerized architecture of Kubernetes has effectively rewritten the rules of modern infrastructure management. While this shift has empowered engineering teams to deploy at an unprecedented velocity, it has simultaneously introduced a layer of financial complexity that traditional billing models are ill-equipped to handle. As organizations navigate the current landscape,