In this conversation, we sit down with Maxime Huig, Senior Associate at Dedale Intelligence, who shares insights on the evolving Office of the CIO software stack, from ITSM and observability to DevOps, security, and the impact of AI
Written by :
Clémence Bouffard
September 11, 2025
Maxime Huig: At Dedale Intelligence, we analyze this landscape through two main dimensions.
The first is core responsibility:
The second dimension is the type of IT asset: front-layer assets like applications and devices, and back-layer assets such as infrastructure, databases, or cloud environments.
Thinking about CIO software through these two lenses, responsibilities and assets, helps clarify a very fragmented space.
Maxime Huig: Not exactly. In reality, adoption is far more nuanced.
Broadly, large enterprises adopt more fragmented toolkits, combining multiple specialized solutions, while smaller organizations lean toward comprehensive platforms for simplicity and cost efficiency.
Governance, not technology, is often the biggest factor shaping CIO software choices.
Maxime Huig: The market is highly fragmented, but some clear leaders have emerged in each function:
Interestingly, players like ServiceNow are expanding beyond their core, from ITSM into monitoring and observability, to build more transversal offerings. Beneath these giants, there’s a long tail of niche vendors focused on specific use cases or IT assets.
The CIO stack is dominated by a few platforms, but beneath them lies a dynamic ecosystem of highly specialized vendors.
Maxime Huig: DevOps remains a high-growth segment, especially with AI-driven innovation in areas like code generation and automated testing.
In administration, ITSM is dominated by large players, but ITAM (asset management) has spawned numerous point solutions, for enterprise assets, software, and unified endpoint management.
Monitoring and observability continues to be very dynamic, with both platforms and niche tools offering strong differentiation.
And of course, cybersecurity remains vast, with prevention, detection, and response each generating their own sub-markets.
Maxime Huig: AI is a genuine game changer here. It enables automation, predictive insights, and faster resolution. It’s also raising questions about the long-term differentiation of some use cases, like software testing.
That said, most IT software solutions are deeply embedded and structural. They’re not easily commoditized by AI, instead, AI enhances their value.
Take Dynatrace, which uses telemetry and contextual AI copilots for troubleshooting, or ServiceNow, which automates ticket resolution workflows. These are not just feature upgrades; they fundamentally shift customer expectations.
AI is no longer a bolt-on. It’s becoming the engine accelerating transformation across the CIO stack.
Maxime Huig: CIOs should accept that fragmentation is here to stay. The key will be balancing specialized tools with integration, while leveraging AI to amplify value across the stack.
In practice, that means:
The winners will be those who turn fragmentation into flexibility, using AI as the connective tissue across the CIO stack.
This interview is part of Dedale Intelligence’s ongoing series of expert insights, bringing research-driven perspectives on the most dynamic segments in software and technology. For more in-depth analysis, explore our latest articles, or contact us.
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