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Gartner Says IT Operations and Management Software Market Grew 4.8 Percent in 2012

Worldwide IT operations management (ITOM) software revenue totaled $18 billion in 2012, up 4.8 percent from $17 billion in 2011, according to final results from Gartner, Inc.

However, Gartner said that the "Big Four" ITOM vendors — IBM, CA Technologies, BMC Software and HP — surrendered market share in 2012, while a new generation of ITOM vendors grew significantly faster than the market.

"Vendor revenue in the 2012 ITOM software market demonstrated moderate single-digit growth, after two consecutive years of nearly double-digit growth, due in part to slow economic growth, tight IT budgets, and merger and acquisition (M&A) activity," said Laurie Wurster, research director at Gartner. "Nevertheless, the ITOM market did manage to grow slightly above the average growth rate of the infrastructure software market, and by doing so it gained share of IT budgets."

Pushing the growth of the ITOM market, although at a less-frantic pace, were continued investments in virtualization management tools and promising cloud computing technologies, which are the key drivers behind the growth in the configuration management and availability and performance segments, and also in the other ITOM category, in which cloud management platform pure-play vendors are represented.

Continued strong growth in workload automation and IT process automation demonstrates that IT organizations are still investing heavily in technology that is more traditional and process improvement initiatives; there is also an increased effort to automate private cloud services.

The evolution of IT service desk tools into IT service support management tools contributed to growth in the market as vendors are supplementing foundational technologies with the addition of features such as mobility, collaboration, IT service visualization, and more advanced analytics and reporting.

The top five ITOM vendors, ranked by revenue, grew 0.6 percent in 2012, compared with 7 percent growth in 2011, and accounted for 55 percent share, or $9.9 billion, of the overall ITOM software market in terms of revenue.

The ranking of the top five vendors did not change from 2010 through 2012. Among the top five vendors, Microsoft led the group in year-over-year growth at 16 percent, while the rest of the top five remained flat or saw declining growth.

CA Technologies and BMC Software are tracking neck and neck, with less than $200 million between them. After displacing HP from the No. 4 position in 2010, Microsoft continues to rapidly gain on BMC and CA Technologies, with Microsoft just less than $650 million behind CA Technologies.

"The most interesting vendors to watch in terms of dynamics will be those with revenue ranging from $100 million to $500 million," says Wurster. "Strategies on business models (software as a service [SaaS], subscription and cloud-based), as well as partnering programs to obtain reach into regions outside North America, Western Europe and mature Asia/Pacific, will be key to growth."

Many ITOM subcategories are commoditizing, as end users replace high-cost tools from the Big Four vendors with lower-cost tools at a 10th of the cost overall, thereby contracting the market and providing high growth for many low-cost providers.

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Gartner Says IT Operations and Management Software Market Grew 4.8 Percent in 2012

Worldwide IT operations management (ITOM) software revenue totaled $18 billion in 2012, up 4.8 percent from $17 billion in 2011, according to final results from Gartner, Inc.

However, Gartner said that the "Big Four" ITOM vendors — IBM, CA Technologies, BMC Software and HP — surrendered market share in 2012, while a new generation of ITOM vendors grew significantly faster than the market.

"Vendor revenue in the 2012 ITOM software market demonstrated moderate single-digit growth, after two consecutive years of nearly double-digit growth, due in part to slow economic growth, tight IT budgets, and merger and acquisition (M&A) activity," said Laurie Wurster, research director at Gartner. "Nevertheless, the ITOM market did manage to grow slightly above the average growth rate of the infrastructure software market, and by doing so it gained share of IT budgets."

Pushing the growth of the ITOM market, although at a less-frantic pace, were continued investments in virtualization management tools and promising cloud computing technologies, which are the key drivers behind the growth in the configuration management and availability and performance segments, and also in the other ITOM category, in which cloud management platform pure-play vendors are represented.

Continued strong growth in workload automation and IT process automation demonstrates that IT organizations are still investing heavily in technology that is more traditional and process improvement initiatives; there is also an increased effort to automate private cloud services.

The evolution of IT service desk tools into IT service support management tools contributed to growth in the market as vendors are supplementing foundational technologies with the addition of features such as mobility, collaboration, IT service visualization, and more advanced analytics and reporting.

The top five ITOM vendors, ranked by revenue, grew 0.6 percent in 2012, compared with 7 percent growth in 2011, and accounted for 55 percent share, or $9.9 billion, of the overall ITOM software market in terms of revenue.

The ranking of the top five vendors did not change from 2010 through 2012. Among the top five vendors, Microsoft led the group in year-over-year growth at 16 percent, while the rest of the top five remained flat or saw declining growth.

CA Technologies and BMC Software are tracking neck and neck, with less than $200 million between them. After displacing HP from the No. 4 position in 2010, Microsoft continues to rapidly gain on BMC and CA Technologies, with Microsoft just less than $650 million behind CA Technologies.

"The most interesting vendors to watch in terms of dynamics will be those with revenue ranging from $100 million to $500 million," says Wurster. "Strategies on business models (software as a service [SaaS], subscription and cloud-based), as well as partnering programs to obtain reach into regions outside North America, Western Europe and mature Asia/Pacific, will be key to growth."

Many ITOM subcategories are commoditizing, as end users replace high-cost tools from the Big Four vendors with lower-cost tools at a 10th of the cost overall, thereby contracting the market and providing high growth for many low-cost providers.

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 ...