Advisory firm Gartner has released a market research on decision intelligence platforms (DIPs), ranking vendors based on their positioning as leaders, challengers, visionaries, and niche players. IBM, FICO, and SAS were recognized among the industry leaders in this list.

DIPs are software designed to create decision-centric solutions that support, augment and automate decision making of humans or machines. These platforms combine data, analytics, knowledge and artificial intelligence (AI) to enable enterprises to collaboratively create and model decisions, orchestrate decision flow during execution at scale, and monitor and govern decision quality, while continuously learn from actions and outcomes. Typical use cases include loan approvals, fraud detection, supply chain management, pricing optimization, and resource allocation.

Gartner’s ranking of DIP vendors uses its Magic Quadrant framework, which assesses providers on their ability to deliver decision-centric architectures that combine explicit decision modeling, AI-driven augmentation and automation, and governance at scale.

It recognizes six industry leaders that combine strong execution with a clear, forward-looking vision for decision-centric architectures.

These companies deliver comprehensive capabilities across the decision lifecycle, modeling, orchestration, monitoring, and governance, while integrating advanced AI techniques such as generative AI (genAI) and agentic AI. Crucially, they invest heavily in innovation, embedding optimization, simulation, and explainability to support trusted automation at scale.

DIP leaders

FICO

A notable leader is FICO, a public American company serving large and midsize organizations in banking and investment services primarily in North America and Europe, the Middle East and Africa (EMEA).

The FICO DIP demonstrates key strengths. These include strong financial health through consistent profitability, enabling sustained investment in research and development (R&D) investment. The company operates a well-defined, forward-looking business model that emphasizes ecosystem growth through a platform-led strategy and strategic partnerships. Additionally, it offers advanced real-time decisioning and simulation capabilities supported by a foundation model that enables domain-specific genAI and AI automation for regulated environments.

Looking ahead in 2026, FICO plans to introduce dynamic profiling to maintain a real-time digital twin of decision data, decision agents that can self-test and monitor performance against business goals, and a marketplace that makes it easier for customers and partners to create and share decision-centric solutions.

However, the FICO DIP also faces certain challenges, including a consumption-based pricing model that can become complex as usage scales across dimensions such as transactions, storage, and add-on features. Furthermore, FICO heavily concentrates in banking and credit risk, with other industries addressed mainly through contract frameworks and partner-led solutions rather than differentiated platform capabilities.

SAS

Another industry leader is SAS, an American software firm serving large and midsize organizations in banking and investment services, insurance, healthcare, and government. Like the FICO platform, the SAS DIP benefits from strong financial health, ensuring continued investment in R&D. It also maintains an extensive global footprint, and a strong commitment to industry alignment.

In 2026, SAS plans to expand its focus on trust and transparency to make AI-powered decisions more explainable, auditable, and reliable. This includes implementing a model governance framework, industry-specific AI agents, and enhanced simulation, monitoring, analytics, and compliance features, for responsible and regulated AI deployment.

However, the SAS DIP also faces challenges including non flexible pricing and contract negotiations, moderate prioritization of decision intelligence, and still maturing DI capabilities including genAI-driven decision modeling, agentic AI frameworks, and enhanced governance.

Aera Technology

Another DIP leader is Aera Technology, an American firm with operations primarily in North America and EMEA that serves large organizations in manufacturing and natural resources, and oil and gas.

Strengths of this platform include flexible pricing and contract terms, combined with proofs of concept (PoCs) and trials, a deep awareness of enterprise needs and competitive dynamics, and significant marketing investment, focus on large enterprises, and the ability to quantify business benefits.

In 2026, Aera Technology is planning innovations including autonomous agent teams that self-assemble for decisions, learning and governance agents to optimize policies and enforce compliance, and multidimensional simulation integrated with agentic AI.

Despite these strengths, Aera faces challenges including a lack of profitability that’s raising concerns about long-term financial stability. Furthermore, it has a strong concentration of customers in manufacturing and natural resources, and oil and gas, limited regional focus, and limited differentiation, underscoring significant strategic vulnerabilities that could limit long-term growth.

Other leaders

Beyond FICO, SAS and Aera Technology, other leaders spotlighted by Gartner include IBM from the US, ACTICO from Germany, and Quantexa from the UK.

ACTICO and Quantexa are particularly strong in regulated industries like financial services. Their strengths lie in strong execution of product roadmaps and explainable AI governance capabilities. However, challenges include inconsistent customer experience, lower market visibility and weaker marketing execution.

IBM, on the other hand, offers a broad enterprise decision intelligence platform integrated with its data, AI, and automation ecosystem, enabling complex decision workflows at scale. However, challenges include complex pricing and sales processes, and the lack of a primary strategic focus within IBM’s broader portfolio, creating uncertainty about long-term investment and innovation for its DIP capabilities.

Rising market demand

Demand for DIPs is growing alongside the increasing complexity of decision making. According the 2024 Gartner CDAO Agenda Survey, 33% of the organizations surveyed had already decision intelligence. An additional 17% had committed to have deployed within six months, 19% were considering deployment in six to 12 months, 25% were investigating doing so in 12 to 24 months. Only 7% reported having no interest in deploying it.

One industry research estimates that the global decision intelligence market was valued at US$16.34 billion in 2025. Through 2035, the market is projected to expand at an annual growth rate of 15.36% to reach US$68.2 billion.

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