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Gartner: Global IT Spending to Reach $3.7 Trillion in 2018

Worldwide IT spending is projected to total $3.7 trillion in 2018, an increase of 4.5 percent from 2017, according to the latest forecast by Gartner, Inc.

"Global IT spending growth began to turn around in 2017, with continued growth expected over the next few years. However, uncertainty looms as organizations consider the potential impacts of Brexit, currency fluctuations, and a possible global recession," said John-David Lovelock, Research VP at Gartner. "Despite this uncertainty, businesses will continue to invest in IT as they anticipate revenue growth, but their spending patterns will shift. Projects in digital business, blockchain, Internet of Things (IoT), and progression from big data to algorithms to machine learning to artificial intelligence (AI) will continue to be main drivers of growth."

Enterprise software continues to exhibit strong growth, with worldwide software spending projected to grow 9.5 percent in 2018, and it will grow another 8.4 percent in 2019 to total $421 billion. Organizations are expected to increase spending on enterprise application software in 2018, with more of the budget shifting to software as a service (SaaS). The growing availability of SaaS-based solutions is encouraging new adoption and spending across many subcategories, such as financial management systems (FMS), human capital management (HCM) and analytic applications.

The devices segment is expected to grow 5.6 percent in 2018. In 2017, the devices segment experienced growth for the first time in two years with an increase of 5.7 percent. End-user spending on mobile phones is expected to increase marginally as average selling prices continue to creep upward even as unit sales are forecast to be lower. PC growth is expected to be flat in 2018 even as continued Windows 10 migration is expected to drive positive growth in the business market in China, Latin America and Eastern Europe. The impact of the iPhone 8 and iPhone X was minimal in 2017, as expected. However, iOS shipments are expected to grow 9.1 percent in 2018.

"Looking at some of the key areas driving spending over the next few years, Gartner forecasts $2.9 trillion in new business value opportunities attributable to AI by 2021, as well as the ability to recover 6.2 billion hours of worker productivity," said Lovelock. "That business value is attributable to using AI to, for example, drive efficiency gains, create insights that personalize the customer experience, entice engagement and commerce, and aid in expanding revenue-generating opportunities as part of new business models driven by the insights from data."

"Capturing the potential business value will require spending, especially when seeking the more near-term cost savings. Spending on AI for customer experience and revenue generation will likely benefit from AI being a force multiplier — the cost to implement will be exceeded by the positive network effects and resulting increase in revenue," said Lovelock.

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Gartner: Global IT Spending to Reach $3.7 Trillion in 2018

Worldwide IT spending is projected to total $3.7 trillion in 2018, an increase of 4.5 percent from 2017, according to the latest forecast by Gartner, Inc.

"Global IT spending growth began to turn around in 2017, with continued growth expected over the next few years. However, uncertainty looms as organizations consider the potential impacts of Brexit, currency fluctuations, and a possible global recession," said John-David Lovelock, Research VP at Gartner. "Despite this uncertainty, businesses will continue to invest in IT as they anticipate revenue growth, but their spending patterns will shift. Projects in digital business, blockchain, Internet of Things (IoT), and progression from big data to algorithms to machine learning to artificial intelligence (AI) will continue to be main drivers of growth."

Enterprise software continues to exhibit strong growth, with worldwide software spending projected to grow 9.5 percent in 2018, and it will grow another 8.4 percent in 2019 to total $421 billion. Organizations are expected to increase spending on enterprise application software in 2018, with more of the budget shifting to software as a service (SaaS). The growing availability of SaaS-based solutions is encouraging new adoption and spending across many subcategories, such as financial management systems (FMS), human capital management (HCM) and analytic applications.

The devices segment is expected to grow 5.6 percent in 2018. In 2017, the devices segment experienced growth for the first time in two years with an increase of 5.7 percent. End-user spending on mobile phones is expected to increase marginally as average selling prices continue to creep upward even as unit sales are forecast to be lower. PC growth is expected to be flat in 2018 even as continued Windows 10 migration is expected to drive positive growth in the business market in China, Latin America and Eastern Europe. The impact of the iPhone 8 and iPhone X was minimal in 2017, as expected. However, iOS shipments are expected to grow 9.1 percent in 2018.

"Looking at some of the key areas driving spending over the next few years, Gartner forecasts $2.9 trillion in new business value opportunities attributable to AI by 2021, as well as the ability to recover 6.2 billion hours of worker productivity," said Lovelock. "That business value is attributable to using AI to, for example, drive efficiency gains, create insights that personalize the customer experience, entice engagement and commerce, and aid in expanding revenue-generating opportunities as part of new business models driven by the insights from data."

"Capturing the potential business value will require spending, especially when seeking the more near-term cost savings. Spending on AI for customer experience and revenue generation will likely benefit from AI being a force multiplier — the cost to implement will be exceeded by the positive network effects and resulting increase in revenue," said Lovelock.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...