The State of Managed Services 2026
Overview
Why Service is now the engine of AI Economics and the Shift to Outcomes for MSPs
Challenges
Managed services providers face growing pressure to prove the ROI of AI while traditional pricing models fail to reflect the value AI creates. At the same time, fragmented data, talent gaps, and integration barriers are slowing the move toward autonomous operations and outcome-based service delivery.
Summary
This ebook examines how managed services is shifting from a traditional operational support model to an AI-first operating model built on automation, predictive insights, and measurable business outcomes. It outlines why services now play a central role in turning AI into enterprise value and how leading providers are adapting their capabilities, pricing, and delivery models to compete.
Key takeaways
- AI changes how managed services creates value
Managed services is evolving from human-led operational support to an AI-first model where automation, predictive intelligence, and autonomous operations drive customer outcomes.
- Traditional pricing models no longer fit AI delivery
Per-user, labor-based, and fixed-contract pricing models break down as AI improves efficiency, pushing providers toward hybrid, consumption-based, and outcome-based pricing.
- Data, automation, and outcomes are the new core capabilities
Leading MSPs are building unified data foundations, moving toward autonomous operations, and developing the ability to measure and deliver clear business outcomes.
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