Omdia Evaluates Digital Service Providers in the 2026 Agentic Economy

The Shift Toward Agentic Systems

The landscape of digital services is undergoing a fundamental transition as the industry enters what is being termed the 2026 agentic economy. Omdia has launched a comprehensive assessment to determine how effectively digital service groups are transforming their capabilities to keep pace with this evolution, focusing on the move from static automation to autonomous AI agents.

Unlike traditional software that requires constant human prompts, the agentic economy is characterized by AI systems capable of independent reasoning, planning, and execution. According to Omdia, the ability of service providers to integrate these capabilities will determine their viability in a market where the value proposition is shifting from providing labor to delivering autonomous outcomes.

Synthesizing the AI Transformation

The current transition is not merely a software update but a systemic overhaul of how services are delivered. While previous iterations of digital transformation focused on digitizing analog processes, the agentic shift focuses on delegating decision-making authority to AI.

This evolution aligns with broader industry trajectories. For instance, the McKinsey Technology Trends Outlook 2025 highlights a wider trend toward advanced AI integration, suggesting that the intersection of generative AI and autonomous action is a primary driver of current technological investment. The Omdia assessment specifically targets the "transformation capability" of service groups, measuring whether these firms are simply adopting new tools or fundamentally restructuring their business models to support agentic workflows.

Parallel to these private sector shifts, governments are also attempting to quantify digital efficiency. India recently launched the NESDA 2025 portal, an initiative designed to assess the delivery of digital public services. While Omdia focuses on the commercial agentic economy, the Indian government's approach via the National e-Governance Service Delivery Assessment (NESDA) reflects a similar global urgency to measure and optimize the efficacy of digital interfaces in serving populations.

Why the Agentic Economy Matters

The transition to an agentic economy represents a critical inflection point for the global labor market and the software-as-a-service (SaaS) model. For years, digital service providers have operated on a model of "human-in-the-loop," where AI assisted a human worker in completing a task. Agentic AI flips this dynamic, positioning the AI as the primary actor and the human as the supervisor or strategist.

This shift creates a high-stakes environment for service groups. Companies that fail to transition their capabilities risk becoming obsolete as clients move toward "outcome-as-a-service" contracts. In this new model, clients pay for a completed result—such as a resolved supply chain disruption or a completed financial audit—rather than the hourly billing of consultants or the seat-based licensing of software.

Furthermore, the integration of agentic AI requires a new layer of governance. As agents gain the ability to interact with other software and make financial or operational decisions, the risk profile for service providers increases, necessitating robust frameworks for security, ethics, and accountability.

Differing Perspectives on Implementation

There is a notable tension between the rapid deployment of agentic AI and the measured approach to digital public infrastructure. While Omdia's analysis focuses on the agility and transformation of commercial service groups, the deployment of tools like India's NESDA 2025 portal suggests that in the public sector, the priority remains on assessment, transparency, and the baseline delivery of services before moving toward full autonomy.

Industry analysts from McKinsey suggest that the pace of AI adoption varies wildly across sectors. Some organizations are aggressively pursuing "agentic'" workflows to strip out operational costs, while others remain cautious, citing the "hallucination" risks associated with LLMs and the potential for autonomous agents to make catastrophic errors without sufficient human oversight.

What's Next for Digital Services

As the industry moves toward 2026, the benchmark for success will likely shift from "AI-enabled" to "AI-native." Service providers will be judged on their ability to orchestrate multiple agents across complex environments, creating a seamless web of autonomous services.

The next phase of development will likely involve a deeper integration between public service frameworks and private agentic capabilities. If the goals of the NESDA 2025 portal—improving public service delivery—are to be met at scale, governments may eventually look toward the agentic models Omdia is currently assessing in the private sector to automate citizen services beyond simple chatbots.

For now, the focus remains on the gap between capability and execution. The Omdia assessment serves as a signal to the market that the window for experimental AI adoption is closing, and the era of structural transformation has arrived.