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Gartner Says Worldwide IT Spending on Pace to Reach $3.8 Trillion in 2014

Worldwide IT spending is projected to total $3.8 trillion in 2014, a 3.1 percent increase from 2013 spending of $3.7 trillion, according to the latest forecast by Gartner, Inc.

In 2013, the market experienced flat growth, growing 0.4 percent year over year.

Spending on devices (including PCs, ultramobiles, mobile phones and tablets) contracted 1.2 percent in 2013, but it will grow 4.3 percent in 2014. Gartner analysts said convergence of the PC, ultramobiles (including tablets) and mobile phone segments, as well as erosion of margins, will take place as differentiation will soon be based primarily on price instead of devices' orientation to specific tasks.

Enterprise software spending growth continues to be the strongest throughout the forecast period. The 2014 annual growth rate is expected to grow 6.8 percent. Customer relationship management and supply chain management (SCM) experienced a period of strong growth.

“Investment is coming from exploiting analytics to make B2C processes more efficient and improve customer marketing efforts. Investment will also be aligned to B2B analytics, particularly in the SCM space, where annual spending is expected to grow 10.6 percent in 2014,” said Richard Gordon, managing vice president at Gartner. “The focus is on enhancing the customer experience throughout the presales, sales and post sales processes.”

Last quarter, Gartner's forecast for 2014 IT spending growth in US dollars was 3.6 percent, a 0.5 percentage points higher than the current forecast.

"A downward revision of the 2014 forecast growth in spending for telecom services — a segment that accounts for more than 40 percent of total IT spending — from 1.9 percent to 1.2 percent is the main reason behind this overall IT spending growth reduction," said Gordon. "A number of factors are involved, including the faster-than-expected growth of wireless-only households, declining voice rates in China and a more frugal usage pattern among European customers. The latter coincides in Western Europe with a breakout of fierce price competition among communications service providers to retain customers and attract new ones."

The data center systems spending growth outlook for 2014 has been cut from 2.9 percent in our previous forecast to 2.6 percent. This is mainly due to a reduction in the forecast for external controller-based storage and enterprise communications applications. These segments represent 32 percent of total data center system end-user spending.

Gartner has slightly revised downward the IT services compound annual growth rate between 2012 and 2017. The largest contributor to this revision comes from reductions in IT outsourcing — specifically, in colocation, hosting and data center outsourcing growth rates.

"We are seeing CIOs increasingly reconsidering data center build-out and instead planning faster-than-expected moves to cloud computing. Despite these small reductions, we continue to anticipate consistent four to five percent annual growth through 2017," said Gordon.

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Gartner Says Worldwide IT Spending on Pace to Reach $3.8 Trillion in 2014

Worldwide IT spending is projected to total $3.8 trillion in 2014, a 3.1 percent increase from 2013 spending of $3.7 trillion, according to the latest forecast by Gartner, Inc.

In 2013, the market experienced flat growth, growing 0.4 percent year over year.

Spending on devices (including PCs, ultramobiles, mobile phones and tablets) contracted 1.2 percent in 2013, but it will grow 4.3 percent in 2014. Gartner analysts said convergence of the PC, ultramobiles (including tablets) and mobile phone segments, as well as erosion of margins, will take place as differentiation will soon be based primarily on price instead of devices' orientation to specific tasks.

Enterprise software spending growth continues to be the strongest throughout the forecast period. The 2014 annual growth rate is expected to grow 6.8 percent. Customer relationship management and supply chain management (SCM) experienced a period of strong growth.

“Investment is coming from exploiting analytics to make B2C processes more efficient and improve customer marketing efforts. Investment will also be aligned to B2B analytics, particularly in the SCM space, where annual spending is expected to grow 10.6 percent in 2014,” said Richard Gordon, managing vice president at Gartner. “The focus is on enhancing the customer experience throughout the presales, sales and post sales processes.”

Last quarter, Gartner's forecast for 2014 IT spending growth in US dollars was 3.6 percent, a 0.5 percentage points higher than the current forecast.

"A downward revision of the 2014 forecast growth in spending for telecom services — a segment that accounts for more than 40 percent of total IT spending — from 1.9 percent to 1.2 percent is the main reason behind this overall IT spending growth reduction," said Gordon. "A number of factors are involved, including the faster-than-expected growth of wireless-only households, declining voice rates in China and a more frugal usage pattern among European customers. The latter coincides in Western Europe with a breakout of fierce price competition among communications service providers to retain customers and attract new ones."

The data center systems spending growth outlook for 2014 has been cut from 2.9 percent in our previous forecast to 2.6 percent. This is mainly due to a reduction in the forecast for external controller-based storage and enterprise communications applications. These segments represent 32 percent of total data center system end-user spending.

Gartner has slightly revised downward the IT services compound annual growth rate between 2012 and 2017. The largest contributor to this revision comes from reductions in IT outsourcing — specifically, in colocation, hosting and data center outsourcing growth rates.

"We are seeing CIOs increasingly reconsidering data center build-out and instead planning faster-than-expected moves to cloud computing. Despite these small reductions, we continue to anticipate consistent four to five percent annual growth through 2017," said Gordon.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...