Skip to main content

The State of IT Service Delivery: Next-Generation Technologies Force Change

Steve Francis

As IT service delivery solutions change, organizations are looking to next generation technologies (NGTs) to increase efficiency and deliver a better customer experience. Specific technologies like "cloud-to-the-edge" and artificial intelligence (AI), as well as marketplace shifts like the proliferation of the subscription economy and the importance of Digital Transformation (DX), necessitate action for organizations to keep pace with their competitors.

Only 20 percent of participants do not plan to modernize their IT service delivery solution

To examine the current state of IT service delivery – and anticipate where it leads next – LogicMonitor polled nearly 100 ServiceNow Knowledge18 attendees and LogicMonitor customers for the State of IT Service Delivery survey. The results are clear: IT service delivery is evolving, with 80 percent of the survey participants already implementing or planning to implement a modern IT solution, shortly. Only 20 percent of participants do not plan to modernize their IT service delivery solution.

What’s facilitating this shift? Early-movers indicate they’re driven by the need to increase efficiency (80 percent), improve decision-making (76 percent), and offer a better customer experience (76 percent).

We also found that organizations are approaching this new State of IT Service Delivery in a common fashion: Next-Generation Technologies and monitoring.

Next-Generation Technologies Force Change

NGTs are impacting a wide spectrum of industries. Respondents identified four key NGTs enhancing their IT service delivery capabilities:

■ 60% see cloud-to-the-edge improving efficiency by processing at the edge of the network

■ 60% anticipate the effect the expansion of subscription economy will have on IT service

■ 57% believe that AI will deliver a better customer experience by automating routine error responses and improving time to resolution

■ 56% see digital transformation (DX) having a major effect on the IT process holistically. DX will reimagine the IT process and improve important customer touchpoints

As organizations anticipate the effect these NGTs will have, it’s crucial for them to track their system’s performance. 76 percent of survey participants believe an improved customer experience is a key reason they’re investing in IT service delivery, which can be threatened by system errors and outages caused by a botched NGT integration. As a result, businesses must focus on system monitoring.

Monitoring is Vital

Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience

84 percent of survey participants recognize the value that properly monitoring devices, apps, and services can have for a successful IT service delivery solution. Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience – the key reasons organizations are investing in IT service delivery in the first place.

Clearly monitoring is important, but what does good monitoring entail? Participants outlined the primary types of monitoring vital to IT service delivery: infrastructure performance monitoring, app performance monitoring, and log management.

Further, respondents described two key features of a monitoring solution: 82 percent list context-rich alerts designed to create a straightforward response process as crucial, and 77 percent want automated synchronization between the CMDB and the monitoring platform.

Approaching the New State of IT Service Delivery

NGTs are transforming how IT Service Delivery processes work. To keep pace with competitors in the evolving marketplace, companies should embrace these technologies and invest in effective monitoring processes to ensure the best customer experience possible.

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

The State of IT Service Delivery: Next-Generation Technologies Force Change

Steve Francis

As IT service delivery solutions change, organizations are looking to next generation technologies (NGTs) to increase efficiency and deliver a better customer experience. Specific technologies like "cloud-to-the-edge" and artificial intelligence (AI), as well as marketplace shifts like the proliferation of the subscription economy and the importance of Digital Transformation (DX), necessitate action for organizations to keep pace with their competitors.

Only 20 percent of participants do not plan to modernize their IT service delivery solution

To examine the current state of IT service delivery – and anticipate where it leads next – LogicMonitor polled nearly 100 ServiceNow Knowledge18 attendees and LogicMonitor customers for the State of IT Service Delivery survey. The results are clear: IT service delivery is evolving, with 80 percent of the survey participants already implementing or planning to implement a modern IT solution, shortly. Only 20 percent of participants do not plan to modernize their IT service delivery solution.

What’s facilitating this shift? Early-movers indicate they’re driven by the need to increase efficiency (80 percent), improve decision-making (76 percent), and offer a better customer experience (76 percent).

We also found that organizations are approaching this new State of IT Service Delivery in a common fashion: Next-Generation Technologies and monitoring.

Next-Generation Technologies Force Change

NGTs are impacting a wide spectrum of industries. Respondents identified four key NGTs enhancing their IT service delivery capabilities:

■ 60% see cloud-to-the-edge improving efficiency by processing at the edge of the network

■ 60% anticipate the effect the expansion of subscription economy will have on IT service

■ 57% believe that AI will deliver a better customer experience by automating routine error responses and improving time to resolution

■ 56% see digital transformation (DX) having a major effect on the IT process holistically. DX will reimagine the IT process and improve important customer touchpoints

As organizations anticipate the effect these NGTs will have, it’s crucial for them to track their system’s performance. 76 percent of survey participants believe an improved customer experience is a key reason they’re investing in IT service delivery, which can be threatened by system errors and outages caused by a botched NGT integration. As a result, businesses must focus on system monitoring.

Monitoring is Vital

Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience

84 percent of survey participants recognize the value that properly monitoring devices, apps, and services can have for a successful IT service delivery solution. Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience – the key reasons organizations are investing in IT service delivery in the first place.

Clearly monitoring is important, but what does good monitoring entail? Participants outlined the primary types of monitoring vital to IT service delivery: infrastructure performance monitoring, app performance monitoring, and log management.

Further, respondents described two key features of a monitoring solution: 82 percent list context-rich alerts designed to create a straightforward response process as crucial, and 77 percent want automated synchronization between the CMDB and the monitoring platform.

Approaching the New State of IT Service Delivery

NGTs are transforming how IT Service Delivery processes work. To keep pace with competitors in the evolving marketplace, companies should embrace these technologies and invest in effective monitoring processes to ensure the best customer experience possible.

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...