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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

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.

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...