Aera Technology Named a Leader in the 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms
With the release of the inaugural 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms, decision intelligence has reached a new level of enterprise relevance. Aera Technology’s recognition as a Leader reflects the growing momentum behind the category.
We believe this recognition is meaningful not only for Aera, but for decision intelligence itself. The discipline has matured to the point where it is now being evaluated as a foundational enterprise software category. We feel this Magic Quadrant arrives as enterprises face increasing pressure to make better decisions faster, across more of the value chain.
Business has never moved faster. Markets shift in minutes, supply chains reconfigure overnight, and customer expectations evolve continuously. In our opinion, this pace is exactly why decision intelligence is becoming a board-level priority, and why the timing of this inaugural Magic Quadrant matters.
Why This Inaugural Magic Quadrant Matters Now
Decision intelligence did not emerge because organizations lacked data. It emerged because the volume, velocity, and interconnectedness of information overwhelmed traditional decision processes. Decisions that once happened periodically now need to happen continuously. Decisions once handled by individuals now ripple across entire value chains. The cost of getting those decisions wrong, or too late, has grown dramatically.
Gartner defines decision intelligence as “a practical discipline that advances decision making by explicitly understanding and engineering how decisions are made, and how outcomes are evaluated, managed and improved by feedback.” We believe this framing captures what was missing: a systematic way to design, execute, and continuously improve decisions over time.
In the context of decision intelligence platforms, Gartner assessment carries particular significance. We believe the introduction of this Magic Quadrant signals a shift from isolated decision use cases to decision intelligence as a cross-enterprise capability. Enterprises are no longer asking how to experiment. They are asking how to scale decision-making with speed, governance, and measurable impact.
In this report, Gartner defines decision intelligence platforms as “software to create decision-centric solutions that support, augment and automate decision making of humans or machines, powered by the composition of data, analytics, knowledge and AI.” In our view, this definition reinforces why decision intelligence platforms are increasingly seen as core enterprise infrastructure, not point solutions.
Being named a Leader in this first Magic Quadrant is, in our opinion, a validation that Aera Technology not only understands where decision intelligence is headed, but is already helping enterprises operationalize it today. More broadly, we believe it reflects growing demand to move from insight to action with greater speed and consistency.
What it Means to be Named a Leader
In our view, Gartner recognition affirms several realities about the decision intelligence market:
- Decision intelligence has become an enterprise priority. Organizations need systems that can understand, recommend, act, and learn in real time, not insights that stop at dashboards.
- Platform depth matters. Enterprises require trusted foundations that support decisions across functions, geographies, and levels of automation. Fragmented tools cannot keep pace with modern complexity.
- Execution matters just as much as vision. In our opinion, Aera’s position as a Leader reflects our ability to deliver value quickly and sustain it over time, with customers achieving measurable results in weeks rather than years.
For organizations evaluating decision intelligence platforms, the Magic Quadrant offers what we believe is welcome clarity in a fast-evolving landscape. A Leader designation provides confidence that a platform can support mission-critical decisions, integrate with existing systems, and evolve as business needs change.
More broadly, we believe decision intelligence is becoming foundational to how high-performing enterprises operate across supply chain, finance, procurement, sales, and beyond. Together, these shifts underscore the need for a platform designed from the ground up to operationalize decision intelligence at enterprise scale.
That’s the problem Aera Decision Cloud was built to solve.
Rather than treating decision-making as a linear sequence of steps, Aera Decision Cloud was designed as an integrated platform that supports the entire decision lifecycle. By unifying data, analytics, business logic, and AI, and learning from every outcome, the platform enables decisions that improve continuously and deliver increasing business value.
At its core is a shift in how decisions are made: moving from people making decisions assisted by machines to machines making decisions guided by people. This enables humans to focus on judgment and strategy, while intelligent systems handle complexity, scale, and speed.
The platform’s architecture reflects this approach. Decision-ready data models capture context and outcomes. Decision engines support advisory through fully automated execution. Agentic orchestration blends deterministic logic with AI reasoning, while natural language engagement makes decision intelligence accessible across the enterprise.
Aera customers are already seeing tangible results, including reduced cost and waste, improved working capital, stronger service levels, and greater agility. These outcomes come from embedding decision intelligence into everyday operations and allowing the system to learn and improve continuously.
The Road Ahead
Being named a Leader in the 2026 Gartner Magic Quadrant for Decision Intelligence Platforms is an important milestone for Aera Technology and, in our opinion, for the category itself. But, for us, this is just the beginning.
The next evolution of decision intelligence is already underway. With the introduction of agentic decision intelligence, Aera is extending decision intelligence from orchestrating decisions to actively driving outcomes in complex, real-world environments. This evolution reflects a shift toward systems that can reason, act, and adapt continuously, while remaining grounded in enterprise context, governance, and business intent.
Agentic decision intelligence enables organizations to move faster from intent to execution. Decision flows can be dynamically generated through natural language prompts, while agents reason within those flows using both structured and unstructured enterprise data. Teams can ask questions and receive instant analysis in context, explore scenarios for situational decisions, and respond dynamically as conditions change. Together, these capabilities are empowering our customers to rapidly deploy decision intelligence, apply it more broadly, and unlock greater value.
We believe this is where decision intelligence and agentic AI truly come together: not as standalone technologies, but as an integrated capability embedded into how enterprises operate every day. That convergence is central to where the market is heading and to how Aera continues to innovate.
For a deeper look at the Gartner analysis of decision intelligence platforms and current market competitors, download the full Gartner Magic Quadrant for Decision Intelligence Platforms, 2026. And if you’d like to explore how Aera can help your organization put decision intelligence into action, with clarity, speed, and enterprise scale, we’d be delighted to show you what’s possible.
Gartner Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Gareth Herschel, Kevin Quinn, Kjell Carlsson, 26 January 2026
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