PRESS RELEASE

Will ServiceNow’s Expansion Plans Resonate with Enterprise Buyers?

Analyst(s): Keith Kirkpatrick
Publication Date: May 19, 2025

ServiceNow made a plethora of major announcements at its annual Knowledge customer event, held in Las Vegas in early May, covering its strategy, new product, collaboration efforts, and vision for the future of work within the enterprise. Ultimately, ServiceNow used Knowledge 2025 as an opportunity to position AI as a collaborative tool, rather than technology that would simply replace humans, with ServiceNow’s AI-enabled platform as a key catalyst for uniting intelligence, data, and workflow across the enterprise and beyond.

Key Points:

  • Unified AI Platform & Governance: ServiceNow’s new AI Platform brings together AI, data, and workflows—complete with AI Control Tower and Agent Fabric—to deploy and govern AI agents across multiple systems.
  • Innovative AI Tools & Acquisitions: The launch of AI Agent Orchestrator, AI Agent Studio (no‑code), and Workflow Data Fabric, plus planned acquisitions of Logik.AI and Moveworks, expands ServiceNow’s domain‑specific and cross‑enterprise AI capabilities.
  • Strategic Ecosystem Partnerships: Deep collaborations with NVIDIA (new reasoning model), Microsoft (AI interoperability), and alliances with Google, Adobe, Box, UKG, and Cisco strengthen ServiceNow’s AI and platform integrations.
  • Transformation Vision & Enablement: CEO Bill McDermott champions AI as a $22 trillion opportunity by 2030, backed by ServiceNow University’s goal to train 3 million AI learners by 2027 and demonstrated through AI‑driven successes at Aptiv, AstraZeneca, and UKG.

Overview:

ServiceNow’s Knowledge 2025 event in Las Vegas delivered a broad array of announcements that underscore its ambition to become the central hub for AI‑driven, end‑to‑end enterprise workflows. At the heart of its strategy is the new AI Platform—a unified environment that brings together AI, data, and workflow capabilities. Core to this platform are AI agents that can execute tasks automatically across disparate systems, governed by the AI Control Tower and connected via AI Agent Fabric. Together, these components promise seamless cross‑system communication, robust agent management, and enterprise‑grade governance of model training and data usage.

On the product front, ServiceNow unveiled a suite of innovations designed to simplify and accelerate the creation and orchestration of AI agents. AI Agent Orchestrator offers enterprise‑wide coordination of multi‑agent workflows; AI Agent Studio provides a no‑code interface for building custom, domain‑specific agents; and Workflow Data Fabric enables integrating data from varied sources into cohesive processes. To deepen its AI expertise and accelerate time to market, the company is moving to acquire Logik.AI and Moveworks, bolstering its capabilities in conversational AI and automated support.

Partnerships also played a starring role. ServiceNow announced a collaboration with NVIDIA to develop a next‑generation reasoning model optimized for its platform and commitments to ensure interoperability with Microsoft’s AI systems. Existing alliances with Google, Adobe, Box, UKG, and Cisco further reinforce ServiceNow’s intent to “play nicely” in heterogeneous enterprise environments, positioning its platform as an open, standards‑based hub rather than a closed ecosystem.

Bill McDermott, ServiceNow’s CEO, framed AI not as a disruptive force but as “civilization’s greatest opportunity,” forecasting a $22 trillion market by 2030. He argued that AI will break down organizational silos and enable real‑time, predictive business operations—so long as companies can manage and leverage their data effectively. Echoing this vision, ServiceNow University was introduced to train 3 million AI learners by 2027, offering personalized, gamified learning paths to build in‑house expertise.

Real‑world customer stories from Aptiv, AstraZeneca, and UKG illustrated how ServiceNow’s AI tools are already driving digital transformation—automating routine tasks, improving support interactions, and delivering actionable insights. These case studies ground the highfalutin announcements in tangible ROI, highlighting support‑call deflection, faster issue resolution, and improved operational agility as early wins.

Conclusion

Overall, Knowledge 2025 successfully cast ServiceNow as an AI‑centric command center—melding human and machine workflows to power the modern enterprise. The company’s blend of visionary rhetoric, product innovation, and customer-proof points positions it well for new‑logo acquisition and deeper expansion among existing accounts.

Looking ahead, ServiceNow faces several challenges. As agentic AI proliferates, it must demonstrate why its platform should be the locus for automated workflows, backed by clear ROI metrics. Natural‑language interfaces for querying corporate data will become a key differentiator, hinging on ease of use and accuracy. Finally, evolving pricing models—particularly consumption‑ and outcome‑based approaches—may compel ServiceNow (and its peers) to revisit licensing to align with diverse AI use cases and usage patterns.

The full report, Will ServiceNow’s Expansion Plans Resonate with Enterprise Buyers?, is available via subscription to Futurum Intelligence’s Enterprise Applications IQ service. Click here for inquiry and access.

See the list of complete press releases highlighting the news from the event on the company’s website.

Futurum clients can read about it in the Enterprise Applications Intelligence Platform, and non-clients can learn more here: Enterprise Applications Practice.

About the Futurum Enterprise Applications Practice

The Futurum Enterprise Applications Practice provides actionable, objective insights for market leaders and their teams so they can respond to emerging opportunities and innovate. Public access to our coverage can be seen here. Follow news and updates from the Futurum Practice on LinkedIn and X. Visit the Futurum Newsroom for more information and insights.

Author Information

Keith has over 25 years of experience in research, marketing, and consulting-based fields.

He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.

In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.

He is a member of the Association of Independent Information Professionals (AIIP).

Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.

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