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Gartner: 30% of Enterprises Will Automate More Than Half of Network Activities by 2026

Automation Is Key to I&O Delivering Greater Value, Efficiency and Agility

By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner, Inc.

"Infrastructure and operations (I&O) leaders are increasingly looking to AI-based analytics and augmented decision making, including intelligent automation (IA), to improve operational resilience and responsiveness, address complexity and process increasingly large amounts of data through automation," said Chris Saunderson, Sr Director Analyst at Gartner.

IA for I&O is the application of AI techniques, including generative AI (GenAI) to automate decision making and execute actions for I&O initiatives. It is increasingly being used to empower business agility and is driving more advanced I&O service enablement.

IA is an emerging technology that is in the Trough of Disillusionment on the Gartner Hype Cycle for I&O Automation, 2024 and is expected to reach mainstream adoption in the next five to ten years.

The addition of GenAI capabilities has increased demand in the market for IA platforms. Through the use of analysis and automation, IA enables capabilities that deliver improved operations, efficiency and insight generation.

"Technology providers that offer best-of-breed tools for AI for IT operations (AIOps), application performance monitoring and GenAI will influence IA," said Saunderson. "AIOps and stand-alone automation technology providers may expand their offerings to IA, through acquisitions or organic development."

Hyperautomation Continues to Be Staple Discipline for 90% of Large Enterprises

"Along with IA, hyperautomation has seen a resurgence in interest and demand since the fervor of GenAI that launched in November 2022," said Frances Karamouzis, Distinguished VP Analyst at Gartner. "Hyperautomation involves the use of multiple technologies and tools including AI, machine learning, event-driven software architecture and robotic process automation, among others."

Less than 20% of organizations have mastered the measurement of hyperautomation initiatives. "Hyperautomation initiatives are often an integral part of a larger technology roadmap that includes systems of record on one end of the spectrum, and AI and GenAI on the other," said Karamouzis.

The demand for hyperautomation is driven by the mandate for operational excellence across processes and functions to support resilience. This demand only continues to increase the growth of offerings provided by hyperautomation.

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Gartner: 30% of Enterprises Will Automate More Than Half of Network Activities by 2026

Automation Is Key to I&O Delivering Greater Value, Efficiency and Agility

By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner, Inc.

"Infrastructure and operations (I&O) leaders are increasingly looking to AI-based analytics and augmented decision making, including intelligent automation (IA), to improve operational resilience and responsiveness, address complexity and process increasingly large amounts of data through automation," said Chris Saunderson, Sr Director Analyst at Gartner.

IA for I&O is the application of AI techniques, including generative AI (GenAI) to automate decision making and execute actions for I&O initiatives. It is increasingly being used to empower business agility and is driving more advanced I&O service enablement.

IA is an emerging technology that is in the Trough of Disillusionment on the Gartner Hype Cycle for I&O Automation, 2024 and is expected to reach mainstream adoption in the next five to ten years.

The addition of GenAI capabilities has increased demand in the market for IA platforms. Through the use of analysis and automation, IA enables capabilities that deliver improved operations, efficiency and insight generation.

"Technology providers that offer best-of-breed tools for AI for IT operations (AIOps), application performance monitoring and GenAI will influence IA," said Saunderson. "AIOps and stand-alone automation technology providers may expand their offerings to IA, through acquisitions or organic development."

Hyperautomation Continues to Be Staple Discipline for 90% of Large Enterprises

"Along with IA, hyperautomation has seen a resurgence in interest and demand since the fervor of GenAI that launched in November 2022," said Frances Karamouzis, Distinguished VP Analyst at Gartner. "Hyperautomation involves the use of multiple technologies and tools including AI, machine learning, event-driven software architecture and robotic process automation, among others."

Less than 20% of organizations have mastered the measurement of hyperautomation initiatives. "Hyperautomation initiatives are often an integral part of a larger technology roadmap that includes systems of record on one end of the spectrum, and AI and GenAI on the other," said Karamouzis.

The demand for hyperautomation is driven by the mandate for operational excellence across processes and functions to support resilience. This demand only continues to increase the growth of offerings provided by hyperautomation.

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Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...

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Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...

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