Skip to main content

Gartner: Only 48% of Digital Initiatives Meet or Exceed Their Business Outcome Targets

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner, Inc.'s annual global survey of more than 3,100 CIOs and technology executives, and more than 1,100 executive leaders outside of IT (CxOs).

A small cohort of CIOs and CxOs, known as the "Digital Vanguard," has the highest achievement rate, where 71% of their digital initiatives meet or exceed outcome targets.

"This digital vanguard distinguishes themselves from the rest of CIOs and CxOs because they co-own digital delivery," said Raf Gelders, VP, Research at Gartner. "CIOs and CxOs are equally responsible, accountable and involved in delivering the digital solutions their enterprises need. This is a radical departure from the traditional paradigm of IT delivery and business 'project sponsorship' that predominates in most enterprises."

Digital vanguard CxOs distinguish themselves from other CxOs because they dedicate more of their personal time and resources to digital delivery. They co-own digital delivery end to end with their CIOs, as well as dedicate 35% of their business area staff to do technology work (vs 21% of the rest of CxOs). They also work very closely with IT, meeting with their CIOs four times more often than the rest of CxOs.

"Behind every digital vanguard CxO, a digital vanguard CIO is guiding and enabling CxOs and their teams to co-lead and co-build digital delivery with IT," said Jaime Capella, Distinguished VP, Research at Gartner. "Digital vanguard CIOs nurture their peers to become digital vanguard CxOs. Those CIOs make it easier for their CxOs to lead digital with them and for business area staff to build digital solutions together with IT.

"CIOs' success now depends on their CxOs' success," continued Capella. "To succeed at the next phase of digital initiatives, CIOs need their CxOs to work together and co-lead with them. So their fortunes are intertwined: one cannot succeed without the other."

CIOs Seek Compelling, Easy-to-Use Platforms for All Technologists

Over 80% of CIOs polled in the survey said they expect to increase their investments in 2025 in strong foundational capabilities and technologies such as cybersecurity, AI/GenAI, business intelligence and data analytics, or integration technologies/APIs.

"Digital vanguard CIOs do not invest in these technologies to be used by their IT staff only. They also make them easy to use for potential or actual technologists outside of IT," said Gelders. "On average, there is 26% of business/corporate area staff outside of IT dedicated to building, implementing or managing technology. Many of these technologies naturally lend themselves to easing the burden of work enterprise-wide, accelerating time-to-market and time-to-value, and fostering the accountability of CxOs."

At the other end of the spectrum, 43% of CIOs said they expect to decrease their investment in legacy infrastructure and data center technologies. This is a trend that has become more common in recent years, mainly due to migrating to cloud-based solutions. That compares with 33% who said they expect to increase it, which can be attributed, in part, to those organizations that acquired on-premise infrastructure to experiment and produce GenAI solutions.

CIOs Look to Develop Tech and Digital Leadership Skills for All Technologists Across the Enterprise

Only 16% of CIOs surveyed prioritize building a technology workforce enterprise-wide (beyond their own IT departments) in 2025. That will limit the enterprise's ability to get the most from their digital investments. It condemns them to perpetuate the low number (48%) of digital initiatives that meet or exceed their business outcome targets.

Furthermore, just 18% of CIOs said they will prioritize sharing technology leadership with other business areas, a paramount must-have to grow the digital vanguard.

"Digital vanguard CIOs plan the needs of digital skills not just for IT staff but also for all potential and actual technologists across the enterprise," said Gelders.

Two-thirds of digital vanguard CIOs (vs 22% of the rest of CIOs) go beyond that and help business areas forecast their own needs of digital skills among business staff.

Methodology: The 2025 Gartner CIO and Technology Executive Survey gathered data from 3,186 CIOs and technology executives in 88 countries and all major industries, representing approximately $17.6 trillion in revenue/public-sector budgets and $351 billion in IT spending. This survey was supplemented with insights from 1,126 executive leaders outside of IT (CXOs).

Hot Topics

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Gartner: Only 48% of Digital Initiatives Meet or Exceed Their Business Outcome Targets

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner, Inc.'s annual global survey of more than 3,100 CIOs and technology executives, and more than 1,100 executive leaders outside of IT (CxOs).

A small cohort of CIOs and CxOs, known as the "Digital Vanguard," has the highest achievement rate, where 71% of their digital initiatives meet or exceed outcome targets.

"This digital vanguard distinguishes themselves from the rest of CIOs and CxOs because they co-own digital delivery," said Raf Gelders, VP, Research at Gartner. "CIOs and CxOs are equally responsible, accountable and involved in delivering the digital solutions their enterprises need. This is a radical departure from the traditional paradigm of IT delivery and business 'project sponsorship' that predominates in most enterprises."

Digital vanguard CxOs distinguish themselves from other CxOs because they dedicate more of their personal time and resources to digital delivery. They co-own digital delivery end to end with their CIOs, as well as dedicate 35% of their business area staff to do technology work (vs 21% of the rest of CxOs). They also work very closely with IT, meeting with their CIOs four times more often than the rest of CxOs.

"Behind every digital vanguard CxO, a digital vanguard CIO is guiding and enabling CxOs and their teams to co-lead and co-build digital delivery with IT," said Jaime Capella, Distinguished VP, Research at Gartner. "Digital vanguard CIOs nurture their peers to become digital vanguard CxOs. Those CIOs make it easier for their CxOs to lead digital with them and for business area staff to build digital solutions together with IT.

"CIOs' success now depends on their CxOs' success," continued Capella. "To succeed at the next phase of digital initiatives, CIOs need their CxOs to work together and co-lead with them. So their fortunes are intertwined: one cannot succeed without the other."

CIOs Seek Compelling, Easy-to-Use Platforms for All Technologists

Over 80% of CIOs polled in the survey said they expect to increase their investments in 2025 in strong foundational capabilities and technologies such as cybersecurity, AI/GenAI, business intelligence and data analytics, or integration technologies/APIs.

"Digital vanguard CIOs do not invest in these technologies to be used by their IT staff only. They also make them easy to use for potential or actual technologists outside of IT," said Gelders. "On average, there is 26% of business/corporate area staff outside of IT dedicated to building, implementing or managing technology. Many of these technologies naturally lend themselves to easing the burden of work enterprise-wide, accelerating time-to-market and time-to-value, and fostering the accountability of CxOs."

At the other end of the spectrum, 43% of CIOs said they expect to decrease their investment in legacy infrastructure and data center technologies. This is a trend that has become more common in recent years, mainly due to migrating to cloud-based solutions. That compares with 33% who said they expect to increase it, which can be attributed, in part, to those organizations that acquired on-premise infrastructure to experiment and produce GenAI solutions.

CIOs Look to Develop Tech and Digital Leadership Skills for All Technologists Across the Enterprise

Only 16% of CIOs surveyed prioritize building a technology workforce enterprise-wide (beyond their own IT departments) in 2025. That will limit the enterprise's ability to get the most from their digital investments. It condemns them to perpetuate the low number (48%) of digital initiatives that meet or exceed their business outcome targets.

Furthermore, just 18% of CIOs said they will prioritize sharing technology leadership with other business areas, a paramount must-have to grow the digital vanguard.

"Digital vanguard CIOs plan the needs of digital skills not just for IT staff but also for all potential and actual technologists across the enterprise," said Gelders.

Two-thirds of digital vanguard CIOs (vs 22% of the rest of CIOs) go beyond that and help business areas forecast their own needs of digital skills among business staff.

Methodology: The 2025 Gartner CIO and Technology Executive Survey gathered data from 3,186 CIOs and technology executives in 88 countries and all major industries, representing approximately $17.6 trillion in revenue/public-sector budgets and $351 billion in IT spending. This survey was supplemented with insights from 1,126 executive leaders outside of IT (CXOs).

Hot Topics

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...