Everything you need to know about the Gartner Magic Quadrant S2P

Like every year, Gartner has created another Magic Quadrant for Source-to-Pay (S2P) Suites this year. In this blog, we'll take you through the four most important trends according to Gartner. What does this mean in practice when you look for a new S2P solution in 2026?

Everything you need to know about the Gartner Magic Quadrant S2P

Like every year, Gartner has created another Magic Quadrant for Source-to-Pay (S2P) Suites this year. In this blog, we'll take you into the four most important trends according to Gartner and what this means in practice when you look for a new S2P solution in 2026. According to Garner, we have listed the developments for you.

A stable top, but clear signals in the market

Although in the 2025 and 2026 reports, the well-known names are firmly positioned in the Leaders corner, you also see important shifts:

  • Zycus moves towards Leaders (2026), where it was still among the Visionaries in 2025.
  • Zip is in 2026 a new entrant becomes like Visionary positioned. Intake and orchestration as the “front door” of procurement are thus being taken more and more seriously in the S2P landscape.
  • Esker stood in 2025 as Challenger in the MQ and moved to Niche Player in 2026. That could be a signal that Gartner is weighing more heavily on suite scope or global consistency this year.

The red thread. In 2026, Gartner seems to weigh more heavily on suite consistency, orchestration, and how compelling suppliers deliver end-to-end, not just on loose module power. Here are the four trends to keep an eye on.

Gartner Magic Quadrant S2P 2025 Overview

Trend 1. From GenAI to agentic AI

In 2025, it was often about GenAI. Chatbots, assisted authoring, summaries, contract text analysis, natural language analytics.

In 2026, you'll see a shift to Agentic and Generative AI. AI that not only helps, but actually performs tasks and orchestrates processes within frameworks. These ensure that lead times and manual work can really be reduced.

So what else to ask for in selections:
  • Which tasks can run autonomously or semi-autonomously, and where does the agent stop?
  • How do you ensure governance? Think about traceability and security.
  • How does AI integrate with master data, policies, roles, and authorizations?

Hint: Let a supplier not only show an AI assistant, but run a complete scenario including exceptions, approvals, and controls.

Trend 2. Category management as a control tool, not as a separate module

Where many organizations have been approaching S2P as “process automation” for years, the value proposition is increasingly moving towards control. In both 2025 and 2026, Gartner emphasizes that organizations want more than faster PoS and less manual work. They are looking for better category plans, performance and decision making.

In 2026, this will be reflected in how suites position themselves. Category management is becoming less of a separate block in the menu and increasingly the connecting factor between intake, sourcing, contracts and guided buying.

Our interpretation: Category management becomes the “navigation” of the chain. It not only determines what you can do, but what you have to do. And that makes it directly relevant to orchestration and AI. An agent can only steer properly if there are category plans, policies, preferred suppliers and guard rails.

Trend 3. Orchestration becomes the new suite promise

2026 is less about “we have APIs” and more about “we deliver one chain experience”. So minimal screen-hopping, consistent data, and logic that runs from intake to payment.

This is in line with what you see in the market: procurement orchestration platforms explicitly position themselves as a connecting layer between demand, policy, sourcing, buying and finance.

Trend 4. Risk and compliance are in the flow

Risk and compliance are moving from reporting afterwards to real-time management. In practice, this means: supplier onboarding, contracting, intake and buying are becoming increasingly “policy-driven”. With checks on data, supplier status, required documents, and exception routes.

Why this matters. When using agentic AI, you need to be extra tight on frameworks. Automation without governance is simply making mistakes faster.

What does this mean for your S2P roster in 2026

The most important change is not technological. It is methodical.

Do not select on feature lists, but on end-to-end scenarios.

Make your demos and proof of value chain-based. For example:

  1. Intake → sourcing → contract → catalogue → PO → invoice
    How many steps are really integrated, including data transfer and status monitoring.
  1. Agentic AI in practice
    What tasks does the agent perform. What decisions can he make. What does control look like.
  1. Risk & compliance in the flow
    Where does the system enforce policy. How to handle exceptions Who approves what.
  1. Adoption and UX
    Is this intuitive for internal users and suppliers, or will you soon have an “procurement-only” tool.

Practical tip: leave suppliers the same screenplay run with your own variants. For example, urgency, different cost center, non-contracted supplier, or an invoice without a PO. Only then will you see if it really works.

Lastly

The market is moving from “who has the best AI demo” to “who can orchestrate scalably with control, integration and proven value”. This requires a selection approach that looks more like a chain test than a module comparison.

Do you want to discuss a shortlist, requirements approach or a scenario-based demo script. S2P & More is happy to help you with a pragmatic selection approach that suits your organization and governance.

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