According to a report from research and consulting firm Gartner, 30% of enterprises are expected to automate more than half of their network activities by 2026. This shows a big jump from less than 10% in mid-2023.
The shift is driven by a growing reliance on (artificial intelligence) AI-based analytics and intelligent automation (IA), which help organizations enhance operational resilience and manage increasing data volumes.
“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,” Chris Saunderson, an analyst at Gartner, said in a media release.
He noted that the integration of generative AI (GenAI) into IA platforms has sparked higher demand. IA combines AI techniques to support decision-making and automate operational tasks, positioning itself as a key enabler of infrastructure and operations (I&O) initiatives.
Hyperautomation
Hyperautomation remains a crucial strategy for 90% of large enterprises. It involves using multiple technologies, including AI, machine learning, and robotic process automation, to streamline complex business processes.
However, less than 20% of organizations have fully mastered measuring the success of these initiatives, according to Gartner.
The demand for both IA and hyperautomation is fueled by the need for operational excellence and resilience across various business functions, further driving the development of new offerings in these areas.