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SERVICENOW TARGETS $30B REVENUE BY 2030 ON AI GROWTH

AI DESK2 MIN READ
MON, MAY 4, 2026

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ServiceNow projects $30 billion in subscription revenue by 2030, driven by momentum in its artificial intelligence product portfolio. The cloud software company sees AI as a primary engine for scaling its business.

ServiceNow Inc. has set an ambitious revenue target of $30 billion in subscription revenue by 2030, with AI products serving as the primary growth catalyst. The projection reflects the company's confidence in its AI initiatives and their market adoption. ServiceNow has positioned artificial intelligence across its platform to help enterprises automate workflows and improve operational efficiency. The $30 billion target represents significant expansion from current revenue levels. To reach this milestone, the company must accelerate adoption among existing customers while capturing new markets in enterprise software. ServiceNow's AI strategy centers on embedding machine learning capabilities within its workflow platform. The company offers AI-powered tools for incident management, IT service management, and enterprise resource planning functions. The 2030 projection arrives as enterprise software companies increasingly compete on AI capabilities. Competitors like Salesforce, Oracle, and SAP have made similar AI investments, raising pressure across the sector to demonstrate tangible business value from these technologies. ServiceNow's historical growth has come from its cloud-based IT service management and workflow automation platforms. The new revenue target suggests leadership believes AI will unlock additional use cases and expand the addressable market. The company will need to demonstrate that customers generate measurable returns on AI-enabled features to justify the 2030 outlook. Success depends on both customer retention and expansion within existing accounts, as well as winning new enterprise clients. ServiceNow faces execution risks in achieving the target, including market competition, technology adoption rates, and macroeconomic conditions. The timeline to 2030 provides the company flexibility to adjust its strategy based on market feedback and competitive dynamics.

■ SOURCES

Bloomberg Tech

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