Gartner Reports: 90% of Large Enterprises Prioritize Hyperautomation

By 2026, a new study by Gartner predicts that 30% of enterprises will have automated more than half of their network activities, a significant increase from just under 10% in mid-2023. This shift towards hyperautomation, utilizing a combination of technologies such as AI, machine learning, and robotic process automation, remains a top priority for 90% of large enterprises. However, the study reveals that less than 20% of these enterprises have mastered the ability to measure the impact of their automation initiatives.

Infrastructure and operations leaders are increasingly turning to AI-based analytics and augmented decision-making processes, including intelligent automation (IA), to streamline their operations. IA, an emerging technology in infrastructure and operations, leverages AI techniques like generative AI to automate decision-making processes and execute actions for operational initiatives. Enterprises are adopting IA to enhance operational resilience, improve responsiveness, manage complexity, and autonomously process the growing influx of data.

The addition of generative AI capabilities has sparked increased demand in the market for IA platforms, empowering businesses to enhance agility and deliver more advanced infrastructure and operations services. The experts at Gartner predict that IA will achieve mainstream adoption within the next five to ten years. Chris Saunderson, a senior director analyst at Gartner, suggests that technology providers offering top-tier tools for AI for IT operations (AIOps), application performance monitoring, and generative AI will play a significant role in shaping the future of IA by influencing its development.

Hyperautomation, experiencing a resurgence in demand, is driven by the necessity for operational excellence to support resilience in today's business landscape. Frances Karamouzis, a distinguished vice president analyst at Gartner, highlights that hyperautomation initiatives are often integral to a broader technology roadmap that encompasses systems of record and AI technologies. This strategic approach ensures a holistic transformation of processes and functions to meet the demands of a rapidly evolving digital landscape.