November 6, 2025

Artificial Intelligence in ITSM: Key Takeaways from the Gartner Magic Quadrant 2024–2025

Artificial Intelligence in ITSM: Key Takeaways from the Gartner Magic Quadrant 2024–2025

In the world of digital service management, artificial intelligence is no longer perceived as an experiment. A recent example is the deployment of the SKAI (Smart Kazakhstan AI) platform within Kazakhstan’s sovereign wealth fund Samruk-Kazyna, demonstrating that AI systems can genuinely improve service efficiency by reducing response time and enhancing communication quality.

The same logic now drives the corporate sector. Leading vendors of service automation platforms — such as ServiceNow, BMC Helix, and Freshworks — are embedding Generative AI at the core of their IT Service Management (ITSM), Enterprise Service Management (ESM), and IT Operations Management (ITOM) solutions.

Gartner’s new Magic Quadrant for AI Applications in IT Service Management report explores the main players in this emerging market, highlights what has changed since last year, and analyzes how the ITSM and ticketing landscape is maturing — and why many organizations are entering a new phase of rethinking AI automation.

2024: The Year of Optimism and the First Mature Solutions

In 2024, Gartner recognized AI for ITSM as a standalone market for the first time. The main idea: using AI to automate common operations such as incident classification, risk prediction, intelligent search, and user support through natural language–based virtual agents.

Most solutions rely on preconfigured models and integrations with popular LLMs such as Azure OpenAI, with data protection ensured through encryption and retention policies applied to the models themselves.

New entrants appeared in the report that were not part of Gartner’s ITSM Magic Quadrant prior to 2022 — Aisera and Moveworks — both immediately taking strong positions.

According to Gartner, the Leaders were ServiceNow and Aisera:

  • ServiceNow integrated its proprietary Now LLM and built an ecosystem to automate the entire ITSM lifecycle.
  • Aisera implemented a flexible Bring-Your-Own-Model (BYOM) approach managed through its LLM Studio.

Moveworks was listed as a Challenger, focusing on AI assistants and enterprise data search.

It is worth noting that Aisera and Moveworks are not traditional ITSM tools in the classic sense. Their focus lies in automating request handling and end-user communication, while delegating the infrastructure side of ITSM — such as asset and configuration management (CMDB), change and release management, problem management, and monitoring event handling — to other systems.

BMC Helix ITSM and Freshservice were also included as strong performers. BMC Helix advanced real-time AIOps integration and incident analytics, while Freshservice (Freshworks) continued developing its Freddy AI–powered features to speed up service delivery and reduce operator workload.

🔹 The main takeaway from 2024: AI is no longer an add-on — it is becoming the foundational layer of ITSM and ESM architectures, supporting both end users and technical staff.

2025: From Hype to Focused Results

By 2025, the market reached a more mature phase. Gartner notes that innovation remains strong, but focus has shifted from purely generative AI to Agentic AI — autonomous agents capable of performing actions across systems — although expectations still outpace reality.

The concept of agentic AI is to go beyond process-driven automation and enable AI to not only interact with users but also take real actions across IT systems, effectively replacing human operators in routine execution.

It also became clear in 2025 that the AI race is accelerating dramatically — evidenced by ServiceNow’s acquisition of Moveworks. Decisions that once took years are now made in months.

Gartner Magic Quadrant for AI in IT Service Management 2025

Leaders and Visionaries

  • ServiceNow retained its leadership with the Agent Studio module for building custom AI agents.
  • Moveworks, now part of the ServiceNow ecosystem, brought stronger R&D and rapid feature delivery.
  • Aisera and BMC Helix were placed among the Visionaries — both demonstrating strong innovation and a focus on integrating AI into enterprise workflows.

New Entrants

The 2025 report introduced Atlassian, ManageEngine, and SysAid, targeting the mid-market and embedding AI into their existing platforms.

Meanwhile, Espressive, OpenText, and Serviceaide dropped out of the quadrant due to limited market traction and immature offerings.

BMC Helix ITSM entered the Visionaries quadrant, introducing a wide range of AI agents powered by Helix GPT with flexible LLM selection for both ITSM and AIOps use cases.
Freshservice (by Freshworks) maintained its reputation as an easy-to-deploy, out-of-the-box yet powerful solution for mid-sized organizations. The built-in Freddy AI requires minimal configuration and delivers value from day one across multiple service scenarios.

Key Trends in 2025

  1. Agentic AI over Assistive AI (Co-Pilot).
    Organizations are moving toward autonomous agents capable of analyzing context and executing actions independently. Early implementations are seen in ServiceNow and BMC Helix ITSM.
  2. Market Consolidation.
    The acquisition of Moveworks by ServiceNow marks the beginning of large-scale consolidation and strategic alliances.
  3. Zero-Touch Service Desk.
    By 2030, 20% of mature organizations are expected to operate fully automated service desks.
  4. ROI-Centric Adoption.
    AI initiatives are now measured by tangible KPIs — resolution speed, digital employee experience (DEX), and cost optimization.
  5. Deep GenAI Integration.
    Automated KBA article creation, ticket summarization, and post-incident reporting are becoming the new standard — including in platforms such as Freshservice.

Recommendations for CIOs and ITSM Leaders

  1. Rethink your support architecture.
    Integrate AI modules as a foundational layer of ITSM, starting with intelligent search and classification. You can leverage both the built-in AI of your ITSM platform and external tools like SerenityGPT, which serve as overlays for existing ITSM or ticketing systems.
  2. Adopt open and BYOM (Bring Your Own Model) architectures.
    Choose solutions that support local or private LLM integration — as in BMC Helix ITSM, Aisera, or SerenityGPT. This allows organizations to deploy GenAI entirely on-premises while ensuring full control over data security.
  3. Define success metrics before launch.
    Establish clear KPIs for resolution time, automation rate, and user satisfaction. Modern AI engines enable prompt management and quality evaluation, helping minimize hallucinations and unreliable responses.
  4. Invest in partnerships and integration.
    System integrators such as Synta assist organizations in implementing ITSM platforms with built-in AI capabilities — like BMC Helix ITSM and Freshservice — and in embedding AI engines such as SerenityGPT into local processes while maintaining compliance and security standards.
  5. Monitor the evolution of the agentic approach.
    Start piloting AI-driven self-healing and automated incident resolution today. Many vendors, including BMC Software, have long emphasized the convergence of monitoring, incident, and change management — but the possibility of achieving a true Zero-Touch Service Desk has never been closer. What once required months of integration can now be achieved in weeks thanks to AI.

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