Agentic AI Market

Software is expected to account for the largest share of the agentic AI market in 2026. Its lead reflects the breadth of the software stack, which now extends from agent development and orchestration to memory, connectivity, governance, automation, enterprise platforms, and prebuilt applications. Enterprises increasingly want reusable software environments that support multiple workflows rather than deploying agents as isolated pilots. This favors vendors that can combine development, runtime controls, system integration, observability, and security within a common architecture. Prebuilt functional agents are also adding to software demand by reducing customization requirements and shortening deployment timelines. Over time, software is likely to gain further importance as organizations standardize agent estates, connect them with core enterprise applications, and shift spending toward scalable platforms that can support repeated deployment across functions and business units.

Multi-agent systems are expected to register faster growth during the forecast period as enterprises begin using specialized agents to divide, coordinate, and complete more complex workflows. A single agent is often sufficient for bounded tasks, but cross-functional processes can require separate agents for retrieval, reasoning, verification, approvals, system actions, and exception handling. This is creating demand for stronger orchestration, shared context, agent-to-agent communication, identity management, and policy controls. Multi-agent architectures can also allow enterprises to combine agents from different vendors or frameworks rather than depend on one monolithic system. Their adoption, however, will depend on whether organizations can manage the added complexity around coordination, latency, cost, accountability, and failure handling. As these supporting layers mature, multi-agent systems are likely to move beyond experimental deployments and become increasingly relevant for workflows that span several applications, data sources, and business functions.

Customer service & support is expected to remain the largest application in 2026. The segment has moved faster into production because service workflows combine high transaction volumes with well-defined processes and measurable outcomes. Agentic systems can now do more than answer questions; they can retrieve customer records, update systems, process requests, initiate transactions, reset credentials, route cases, and escalate complex issues while retaining context. This lets enterprises automate more of the service journey, not just the conversational front end. Adoption is spreading across financial services, retail, telecommunications, travel, technology, and other service-intensive industries. Vendors are increasingly competing on autonomous resolution, enterprise-system connectivity, multilingual performance, exception handling, and seamless handoffs to human agents, making customer service one of the most commercially mature areas for agentic AI deployment.

IT & ITeS is expected to be the fastest-growing enterprise end-user segment over the forecast period as agentic AI becomes more deeply embedded across software engineering and technology operations. The sector is particularly suited to autonomous workflows because repositories, development environments, APIs, telemetry, ticketing platforms, and infrastructure tools are already highly digitalized. Agents are increasingly being used for code generation, testing, debugging, modernization, incident investigation, remediation, service-desk operations, DevOps, and infrastructure support. These use cases also offer clear measures of value through developer productivity, resolution time, deployment frequency, error reduction, and system availability. Growth will increasingly depend on agents being able to operate securely within production environments, where incorrect actions can have immediate operational consequences. Vendors that combine reasoning with approval controls, observability, CI/CD integration, secure tool access, and reliable exception handling are likely to gain the strongest traction in this end-user segment.