What Is IDC MaturityScape for AI?

Insights from IDC MaturityScape: AI-Fueled Organization 2.0

IDC MaturityScape for AI is a five-stage maturity model that shows how far an organization has progressed toward becoming AI-fueled, assessed across four dimensions: strategy, governance, people and technology.

What is IDC MaturityScape for AI?

IDC MaturityScape: AI-Fueled Organization 2.0 is IDC’s guide for organizations planning to evolve their use of all AI technologies, including machine learning, generative AI and autonomous AI agents. According to IDC, the model covers descriptive, interpretive, predictive, generative, agentic and physical AI. This matters because it lets organizations assess their current maturity, find the gaps and prioritize what to do next.

According to IDC, the 2026 version has “been updated this year to elevate governance as a key dimension of AI maturity,” joining strategy, people and technology. IDC’s companion MaturityScape Benchmark AI Survey, released in May 2026 across 1,900 organizations worldwide, lets organizations compare their maturity with industry peers.

IDC MaturityScape for AI Details

What it is. The model defines five stages of AI maturity: Ad Hoc, Opportunistic, Repeatable, Managed and Optimized. Each stage is described across the dimensions and subdimensions of an AI-fueled organization. It was first developed in 2025 and updated in April 2026 to reflect how fast AI technology and organizational capability are evolving.

How it works. Organizations place themselves at a stage in each dimension, compare their results with peers in the benchmark and set priorities to close gaps. IDC notes that each dimension has subdimensions, such as AI road map and orchestration for strategy, or AI platforms and data for technology, which makes the assessment specific enough to act on. The model supports a repeated assessment, since IDC treats maturity as a continuous program.

Why it matters. IDC’s research finds that fewer than half (45%) of AI-related projects launched over the past two years have delivered measurable business outcomes. A structured maturity model gives leaders a shared way to explain why, and to decide where to invest next. IDC’s benchmark shows only 3.1% of organizations worldwide have reached the Optimized stage, so most have clear room to progress.

What are the five stages of the IDC MaturityScape for AI?

IDC describes five stages: Ad Hoc, Opportunistic, Repeatable, Managed and Optimized. The model moves from the simplest, unstructured stage to the advanced, systemized one.

Supporting points

• Ad Hoc and Opportunistic (AI scramble and AI pivot): uncoordinated efforts with basic automation and analytics, then oversight, proofs of concept and selective use of agents.
• Repeatable (AI alignment): a value-led road map and agent teams.
• Managed (AI transform): a redesigned operating model and unified data governance.
• Optimized (AI-fueled organization): autonomous agents drive innovation and profitable growth.

What are the four dimensions and what do they cover?

Each dimension has subdimensions that are assessed across the five stages. IDC advises considering them together as the organization evolves its AI approach.

Supporting points

• Strategy: AI road map, orchestration, business impact and AI tech evolution readiness.
• Governance: responsible AI and compliance, risk management and data governance.
• People: work optimization, change management and leadership.
• Technology: applications, AI platforms, data, infrastructure and services.

What changed in version 2.0 of the model?

The original model was organized around three areas: strategy, people and technology. IDC’s 2026 update adds governance as a fourth dimension. IDC’s benchmark describes this as recognition that trust, risk management and responsible AI practices have become prerequisites for scaling AI.

Supporting points

• The model applies to all AI technologies, from descriptive to physical AI.
• The rise of agentic AI is a driver: IDC reports an average of 40 AI agents in production in 2025, with expectations of 50 in 2026.

What does the benchmark show about where organizations stand?

IDC’s 2026 worldwide benchmark shows a broad middle stuck in early stages. The worldwide mean maturity score barely moved, rising to 2.43 in 2026 from 2.39 in 2025, while a small leading cohort is beginning to separate from the pack.

Supporting points

• 61.3% of organizations remain in the two least mature stages, Ad Hoc and Opportunistic.
• 12.8% have reached the two most advanced stages, Managed or Optimized.
• The share reaching Optimized rose from 0.4% to 3.1%.

Supporting Evidence

“Scaling AI isn’t just a technology challenge” — Andrea Siviero, global research lead, AI-Fueled Business Strategies, IDC, in IDC MaturityScape: AI-Fueled Organization 2.0 (IDC #US54450625, April 2026)

“Becoming an AI-fueled organization is achievable, but it is a sustained journey” — IDC, IDC MaturityScape Benchmark: AI-Fueled Organization Worldwide, 2026 (IDC #US54374726, July 2026)

FAQ

What is the IDC MaturityScape for AI?

It is IDC’s five-stage maturity model for becoming an AI-fueled organization, assessed across strategy, governance, people and technology.

What are the five stages?

Ad Hoc, Opportunistic, Repeatable, Managed and Optimized.

What is new in IDC MaturityScape: AI-Fueled Organization 2.0?

IDC updated the model in 2026 to elevate governance to a fourth dimension alongside strategy, people and technology.

How can organizations compare their AI maturity with peers?

IDC’s MaturityScape Benchmark AI Survey, released in May 2026 across 1,900 organizations worldwide, benchmarks maturity by dimension and stage.

Does the model apply to agentic AI?

Yes. According to IDC, it applies to all AI technologies, including generative, agentic and physical AI.