New delhi: As much as 40% of enterprise applications in the world will be integrated with task-specific ai agents by 2026, up from less than 5 per cent today, a report said on friday. “As Organizations Accelerate Digital Transformation, Agentic Ai in Enterprise Applications will move beyond individual production, setting new standards for teamwork and workflow Thoughtr Human Human Interactions, “Gartner Inc., A Business and Technology Insights Company, said in a report.

According to gartner, agentic ai will drive approximately 30 per cent of enterprise application software rev the 2035, Surpassing $ 450 billion, up from 2 perom 2 perom 2 perom 2 perom 2 perom Rapidly, Progressing from Basic Assistants Embedded In Enerprise Applications Today to Task-Specific AGENTS by 2026 and Ultimately Multi -Gent EcosySySySySySySySySystems by 2029, ”Said Anushree Verma, SRI Director Analyst at Gartner.

This Shift Transforms Enterprise Applications from tools Supporting Individual Productivity INTO Platforms Enabling Seamless Autonomous Collection and Dynamic Workflow Orchestrament, SHE. According to the report, Chief Information Officer (CIOS) Have a Crucial Three to Six Month Window to Define Their Agentic Ai Strategy, As the Industry is at an inflexion point.

“Organisations that do not embrace agentic ai promptly risk falling behind their peers. Managing strategic priorities requires a focussed approach account the five stages of agentic ai evolutions,” the report Stated. Gartner’s Report Predicts that by the end of 2025, almost every enterprise application will have embedded assets, transforming INTOLIGENT APEPS INTO Intelligent Apps INTO Intelligent Apps Behalf.

AI Assistants are the Precursor to Agentic Ai. They simplife tasks and interactions for users but depend on human input and do not operate independent. The most common misconception is referring to these ai assistants as agents, a muisundstanding fuled by widespread “agentwashing.”

“CIOS and Technology Leaders Must Focus on Creating Seamless Employee Experiences by Integrating AI Assistants with Robust APIS, Enabling a shift from tradational Application-compacted infeace Said Verma. The report further predicted that by 2026, AI Assistants Will Evolve INTO AI Agents with Task Specialization, A Significant Step Towards True Agentic Capabilitys.

According to the report, by 2027, one-third of agentic ai implementations will comb Ecosystems will enable networks of specialized agents to dynamically collaborate across multiple applications, allowing users to achieve goals without interacting with applications.

“Meanwhile, by 2029, at least 50 per cent of knowledge workers will develop new skills to work with, govern and create ai agents on demand for complex tasks,” The report haithted.