Skip to main content

IT Democratization, IT Decentralization and (some) IT Dissatisfaction on the Rise

Rajesh Ganesan
ManageEngine

According to a recent IT at Work: 2022 and Beyond study, there have been a few silver linings to the pandemic. Commissioned by ManageEngine and market research agency Vanson Bourne, this study reached 3,300 IT and business decision makers from organizations across the globe — 500 of whom were from the United States and Canada. The study revealed some intriguing trends, which will be discussed in turn.
 

More collaboration between business departments and IT teams

An overwhelming amount (82%) of all decision makers — both IT and business decision makers — agree that the collaboration between IT personnel and other departments has increased over the last two years. North American business decision makers (BDMs) were asked how frequently they collaborated with other internal departments, and nearly four in ten (37%) reported that they were most likely to collaborate with the IT department.

More IT knowledge across the board

This increased collaboration between IT decision makers (ITDMs) and BDMs has also led to an increase in IT knowledge across the board. In fact, the majority of all decision makers (76%) agree that their non-IT employees are now more knowledgeable about IT than they were before 2020.

IT decentralization is driving the increase in collaboration

IT departments are increasingly being decentralized. Although this is happening across the globe, decentralization is particularly prevalent in North America. Nearly three quarters (74%) of North American ITDMs say they have successfully decentralized their IT structure. This percentage is notably higher than the global average (64%). That said, some companies may want to consider pumping the brakes on decentralization, as nearly as all ITDMs (99%) believe their organization will face challenges should they continue to decentralize.

Democratization of IT also continues to increase

The democratization of IT — how non-IT employees oversee their own tool choices, process automation, and technology operations — has increased dramatically. All employees, not just IT personnel, now have a stake in how technologies are chosen, configured, deployed, and used. Also, there's been a large increase in the use of low-code and no-code tools, as more than two-thirds of all North American decision makers (76%) now encourage their non-IT employees to develop tools using low-code and no-code platforms. Notably, North America was the highest of all surveyed regions. As a caveat, not all of the survey results were rosy, and there are a few issues companies should try to address.

Not all North American IT leaders are satisfied with their current role

According to the survey results, 58% of IT leaders in the U.S. and Canada are actively looking for a new job. Aside from Spain, this North American percentage was higher than any other region. Although there surely are several factors at play here, the vast majority of ITDMs (81%) stated that their company should have supported them more over the last two years. Despite this troubling statistic, IT personnel do appear to be valued quite highly, and nearly all (89%) decision makers understand that their IT department's success is directly correlated with the organization's overall success. Moreover, 57% of decision makers said they believe that IT's role will continue to be appreciated.

In summary

Due to the widespread decentralization of IT, there has been an increase in collaboration between IT personnel and business decision makers. This has bestowed IT decision makers with new roles and increased importance in many organizations. However, many of these IT decision makers are looking for new jobs, so business decision makers should address IT personnel's concerns and continue to recognize their work (which they appear to be doing). Additionally, over the past two years, there has been an increase in general IT knowledge across the board, and IT democratization has increased drastically as well. Increasingly more non-IT employees are building their own tool choices, and many are working with low-code and no-code platforms. All that said, executives of all stripes should continue to support and recognize their IT personnel, especially seeing as the success of the overall organization relies more and more on IT.

Rajesh Ganesan is President of ManageEngine

Hot Topics

The Latest

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 ...

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.

IT Democratization, IT Decentralization and (some) IT Dissatisfaction on the Rise

Rajesh Ganesan
ManageEngine

According to a recent IT at Work: 2022 and Beyond study, there have been a few silver linings to the pandemic. Commissioned by ManageEngine and market research agency Vanson Bourne, this study reached 3,300 IT and business decision makers from organizations across the globe — 500 of whom were from the United States and Canada. The study revealed some intriguing trends, which will be discussed in turn.
 

More collaboration between business departments and IT teams

An overwhelming amount (82%) of all decision makers — both IT and business decision makers — agree that the collaboration between IT personnel and other departments has increased over the last two years. North American business decision makers (BDMs) were asked how frequently they collaborated with other internal departments, and nearly four in ten (37%) reported that they were most likely to collaborate with the IT department.

More IT knowledge across the board

This increased collaboration between IT decision makers (ITDMs) and BDMs has also led to an increase in IT knowledge across the board. In fact, the majority of all decision makers (76%) agree that their non-IT employees are now more knowledgeable about IT than they were before 2020.

IT decentralization is driving the increase in collaboration

IT departments are increasingly being decentralized. Although this is happening across the globe, decentralization is particularly prevalent in North America. Nearly three quarters (74%) of North American ITDMs say they have successfully decentralized their IT structure. This percentage is notably higher than the global average (64%). That said, some companies may want to consider pumping the brakes on decentralization, as nearly as all ITDMs (99%) believe their organization will face challenges should they continue to decentralize.

Democratization of IT also continues to increase

The democratization of IT — how non-IT employees oversee their own tool choices, process automation, and technology operations — has increased dramatically. All employees, not just IT personnel, now have a stake in how technologies are chosen, configured, deployed, and used. Also, there's been a large increase in the use of low-code and no-code tools, as more than two-thirds of all North American decision makers (76%) now encourage their non-IT employees to develop tools using low-code and no-code platforms. Notably, North America was the highest of all surveyed regions. As a caveat, not all of the survey results were rosy, and there are a few issues companies should try to address.

Not all North American IT leaders are satisfied with their current role

According to the survey results, 58% of IT leaders in the U.S. and Canada are actively looking for a new job. Aside from Spain, this North American percentage was higher than any other region. Although there surely are several factors at play here, the vast majority of ITDMs (81%) stated that their company should have supported them more over the last two years. Despite this troubling statistic, IT personnel do appear to be valued quite highly, and nearly all (89%) decision makers understand that their IT department's success is directly correlated with the organization's overall success. Moreover, 57% of decision makers said they believe that IT's role will continue to be appreciated.

In summary

Due to the widespread decentralization of IT, there has been an increase in collaboration between IT personnel and business decision makers. This has bestowed IT decision makers with new roles and increased importance in many organizations. However, many of these IT decision makers are looking for new jobs, so business decision makers should address IT personnel's concerns and continue to recognize their work (which they appear to be doing). Additionally, over the past two years, there has been an increase in general IT knowledge across the board, and IT democratization has increased drastically as well. Increasingly more non-IT employees are building their own tool choices, and many are working with low-code and no-code platforms. All that said, executives of all stripes should continue to support and recognize their IT personnel, especially seeing as the success of the overall organization relies more and more on IT.

Rajesh Ganesan is President of ManageEngine

Hot Topics

The Latest

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 ...

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.