Why Did Gartner Retire the ITSM Magic Quadrant After 2022?
After more than a decade of annual publications, Gartner made the strategic decision to retire its ITSM Magic Quadrant following the 2022 edition, signaling a fundamental shift in how the research firm evaluates IT service management solutions.
The retirement stemmed from market stagnation—vendors maintained identical positions for years, with some appearing for over a decade. ITSM platforms reached full market maturity at the Hype Cycle’s end, yet organizational maturity remained stuck in the low 2s on a 1-5 scale. Traditional ITSM approaches failed to evolve IT organizations effectively.
Gartner replaced both the Magic Quadrant and Critical Capabilities reports with a Market Guide by 2023’s conclusion. This move acknowledges the growing role of AI-driven integration in transforming ITSM practices and evaluation criteria.
What Replaced the ITSM Magic Quadrant in 2023?
When Gartner officially retired the ITSM Magic Quadrant in 2023, the firm replaced it with a streamlined ITSM Platforms Market Guide—a less exhaustive research format that reflects the market’s maturity. This shift was announced in Gartner’s 2023 ITSM Hype Cycle in July and published by year-end.
Gartner retired the ITSM Magic Quadrant in 2023, replacing it with a streamlined Market Guide for mature markets.
The Market Guide differs markedly from its predecessor:
- No vendor positioning or quadrants
- No leader/follower labels
- No product capability scoring
- Focuses on high-level market analysis
- Less costly to produce
You’ll notice this format suits mature markets like ITSM, where thorough Magic Quadrant evaluations become less necessary for informed purchasing decisions. The change also encourages organizations to evaluate ITSM tools based on integration capabilities and how well they support automation and modern architectures.
Does Gartner Still Publish Any ITSM Magic Quadrant?
The short answer is no—Gartner no longer publishes a traditional ITSM Magic Quadrant, but the firm now releases a specialized Magic Quadrant focused exclusively on AI applications within ITSM.
Published in September 2025, this new quadrant evaluates vendors based on their AI capabilities rather than general platform features.
ServiceNow earned the only Leader position, while Moveworks achieved Challenger status.
To qualify, vendors must offer at least five of nine AI features—including virtual support agents and intelligent escalation—with minimum thresholds of 10 production customers and $100,000 annual AI spend.
This shift reflects how AI differentiation now drives ITSM market competition.
Enterprise Service Management, which extends ITSM principles across all organizational departments, is increasingly relevant as AI-powered ITSM tools scale into broader enterprise service use.
What Does the AI Applications in ITSM Magic Quadrant Actually Measure?
Gartner’s AI Applications in ITSM Magic Quadrant measures how effectively vendors deploy artificial intelligence to automate and enhance core IT service management workflows. The evaluation focuses on specific capabilities:
Core Features Assessed:
- Virtual support agents and intelligent triage systems
- Knowledge discovery using large language models
- Predictive analytics for anomaly detection
- Intelligent categorization and escalation
- Problem detection and major incident identification
Vendors must support at least five of nine standard features, demonstrate active use by 10+ customers, and show practical applications that reduce operational costs.
Gartner emphasizes agentic AI capabilities—systems that autonomously analyze context and trigger actions rather than simply assist users.
AI-driven ITSM integrations can reduce downtime and accelerate incident resolution through automated workflows and real-time insights, supporting repeatable services across the service lifecycle.
Which Vendors Appear in the 2025 AI ITSM Quadrant?
Ten vendors earned recognition in Gartner’s inaugural 2025 Magic Quadrant for AI Applications in ITSM, distributed across four distinct categories that reflect both their technological innovation and market execution.
Leaders: ServiceNow and Aisera dominate this quadrant, with ServiceNow integrating Now LLM for full lifecycle automation and Aisera offering flexible BYOM capabilities through LLM Studio.
Visionaries: BMC Helix leverages Helix GPT-powered agents for ITSM and AIOps integration.
Challengers: Moveworks provides agentic AI assistant platforms connecting enterprise systems.
Niche Players: Atlassian, Freshworks, SymphonyAI, and SysAid target mid-market deployments with embedded AI features in existing platforms.
Organizations typically see a 20% reduction in IT operational costs post-ITSM deployment.
How Do You Compare ITSM Vendors Without Magic Quadrant Rankings?
While vendor recognition offers useful context, IT teams need practical evaluation methods that align with their specific requirements rather than relying solely on analyst positioning.
Start by defining your organizational needs first—identify bottlenecks, service request inefficiencies, and growth plans before reviewing tools. Use multiple review platforms like Gartner Peer Insights, G2, and TrustRadius to gather real customer feedback. Filter results by enterprise company size and sort by meets-requirements scores rather than star ratings.
Evaluate vendors across key aspects: agent experience, configuration complexity, AI capabilities, security compliance, and licensing models. PeopleCert’s Accredited Tool Vendor registry confirms ITIL alignment when standards matter.
Why Half of All AI Service Desk Projects Will Fail by 2027
Implementing AI-powered service desk solutions has entered a critical phase where ambition consistently outpaces practical execution capabilities. Gartner predicts 40% of agentic AI projects will be canceled by 2027 as organizations encounter the Trough of Disillusionment. You’ll face escalating costs when moving from pilot to production, unclear ROI metrics, and inadequate governance frameworks.
Integration challenges with legacy systems extend timelines markedly, while data silos create compatibility problems. Security concerns remain paramount—only 20% of leaders trust AI for financial transactions. These failures stem from process redesign requirements, immature models handling complex goals, and misalignment between AI workflows and existing ERP systems.
