On 12 October 2026, Gartner® published its new Magic Quadrant™ for Product Information Management Solutions. Pimcore is positioned as a Visionary.
That is the press release part. Here is the part we actually care about.
We started Pimcore in 2009 with one idea that most people found slightly crazy at the time: bring data management and experience management together in one open platform.
Not five products with a connector between them. One governed, common data model at the core, and every capability of the platform reading from and writing to it. Product data, master data, assets, customer data, and the experiences built on top of them. Today we call that core the Data Spine. Back then we just called the whole beast Pimcore.
PIM is literally in the name. It is one of the capabilities that everything else stands on. So yes, being recognised in the PIM Magic Quadrant matters to us more than we will pretend it does in public.
But the value has always been broader than PIM. Pimcore is data infrastructure: the governed foundation that every channel, every application and now every agent draws from.
PIM, MDM, DAM and CDP used to be filed under back-office plumbing. Necessary, unglamorous, somebody else's budget.
That changed the moment agents started doing real work. An agent that enriches product content, answers a buyer, or updates a catalogue does not care how impressive your model is. It cares whether the data it touches is correct, complete, and governed. If it is not, the agent will be wrong with total confidence, at scale, before anyone notices.
So data management is no longer plumbing. It is the infrastructure that lets agents work, autonomously or with a human in the loop. That means three things, and none of them are optional: the data has to be governed, the data has to be right, and the agents have to be guardrailed.
Clean, governed data with context is what Pimcore has been about since 2009. We call the heart of it the Data Spine, the part of our data infrastructure that makes that data usable for humans and agents alike. It is the oldest rule in IT, shit in, shit out, and the only new part is how fast the shit now travels. Companies that get the data piece right will get value from AI. Companies that skip it will get very expensive demos.
In 2019 we spent a lot of time with the analyst community trying to explain what Pimcore actually is. It was not easy.
The market still thought in best-of-breed and point solutions. A PIM here, a DAM there, a DXP somewhere else, and an integrator in the middle billing by the hour. Pimcore did not fit any of the boxes, because we had refused to build the boxes in the first place.
We were told, more than once, that you cannot do such a thing. That bringing data and experience together in one platform makes no sense. That you cannot boil the ocean.
Our answer has not changed since 2009: we bring together what belongs together. It is as simple as that, and it is quite logical. A few years later, the opinion on that one changed too.
And now the ground is shifting again. With AI, functionality itself is becoming cheap. Anyone can generate a feature in an afternoon. What stays hard, and what stays valuable, is the governed data underneath and the discipline to build on it properly.
That is where Pimcore is heading: uncompromised solutions, fully automated, on one data foundation. The ocean was never the problem. The missing foundation was.
In 2021 I caught myself thinking how good it would feel if the core idea behind Pimcore stopped being the odd one out and became the new standard.
I had one very specific dream: to be included in two Gartner Magic Quadrants at the same time. One in data management. One in experience management. Not because I care all that much about analysts. Our customers decide whether we are right, not a chart. But it would give us a warm feeling, because it would show that the analyst community had come around to the idea that data and experience belong in one architecture.
In 2026 we got there. And then we kept going.
Pimcore was included in the Gartner Magic Quadrant reports for: Digital Experience Platforms , Master Data Management Solutions, and now Product Information Management Solutions. Experience on one side, data on the other, both from one platform. That is not a portfolio we assembled through acquisitions. It is one thing we built on purpose, starting in 2009.
We also want to thank Gartner for an in-depth evaluation, not only of our product, but of our vision and how we operate. Being looked at that closely is uncomfortable in a useful way. We learned from it.
This is a team effort, and we mean that literally.
To our customers: you trusted an open platform from Salzburg with your most critical data, often before that was an easy thing to defend internally. Your use cases shaped this product more than any roadmap slide.
To our partners: you took the vision into projects we never could have reached alone, and you made it work in the real world.
To the Pimconauts: this recognition is yours. We said enterprises should own and govern their own data when the market wanted to talk about something else. We stayed on that track since 2009, and it turns out it is exactly the right one for this agentic era. You built something extraordinary.
Kudos to all of you.
Dietz & Matthias
Gartner, Magic Quadrant for Product Information Management Solutions, Jason Daigler, Greg Carlucci, Nicholas Mortensen, 12 October 2026.
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