ServiceNow acquires Pyramid Analytics to boost self-service analytics

ServiceNow has agreed to acquire Pyramid Analytics, the developer of a data preparation and analytics platform, to boost its existing business intelligence (BI) and self-service analytics capabilities.

“Most analytics tools force business users to wait on data teams for answers. Pyramid Analytics will change this by letting users query data conversationally by asking questions,” the companies said in a joint statement.

Self-service analytics as a BI approach has been gaining traction among enterprises as it allows non-technical users to independently access, visualize, and analyze data through intuitive tools, speeding up decision-making, improving data literacy and productivity, and reducing reliance on IT for routine reporting.

Beyond operational reporting

Analysts see Pyramid Analytics’ capabilities augmenting those of ServiceNow, moving it beyond its workflow silo towards enterprise-wide BI capabilities.

“ServiceNow’s analytics capabilities have historically been operationally focused, centered on reporting and dashboards tied to ServiceNow records and workflows, with KPI visualization within a single Now instance such as ITSM, CSM, HRSD, or SecOps. These tools are strong for workflow optimization and operational insights but largely rely on ServiceNow data and embedded processes, limiting their scope for cross-enterprise BI,” said Pareekh Jain, principal analyst at Pareekh Consulting.

In contrast, he said, Pyramid Analytics is a “full-scale BI platform designed for cross-data-estate connectivity across ERP, CRM, data lakes, and cloud data warehouses”, offering governed semantic layers, multidimensional modeling, ad hoc exploration, and embedded predictive analytics in a unified interface.

Greyhound Research chief analyst Sanchit Vir Gogia said the acquisition will enable ServiceNow to move beyond the provision of operational dashboards, using Pyramid’s semantic and modeling features to deliver enterprise truth computation.

“Architecturally, this matters because ServiceNow’s Workflow Data Fabric can already connect external data into the platform through zero-copy connectors and knowledge graph integration. But connectivity without modeling still leaves ambiguity. When two systems define the same KPI differently, AI agents cannot safely act. Pyramid’s semantic layer fills that modelling gap,” Gogia said.

The focus on ensuring efficient agentic operations coincides with a broader enterprise shift toward AI-driven operations where organizations are steadily transferring decision-making and routine processes to autonomous agents, he said. This in turn heightens the need for consistent, governed, enterprise-wide data foundations.

ServiceNow plans to integrate Pyramid’s semantic and modeling capabilities into its Now AI Platform to help enterprise users to move from simple analysis to automated action without toggling between systems or workflows.

A play for enterprise transformation deals

This integration is a strategic maneuver by ServiceNow to strengthen its hand in large enterprise transformation engagements as competitive pressure mounts from rival SaaS providers, who are also seeking to position their platforms as end-to-end AI operating systems, said Gogia.

“Before the acquisition, ServiceNow risked being seen as just the workflow execution layer. In large transformation deals, that perception matters. CIOs increasingly favor platforms that can unify workflow, analytics and AI governance under one umbrella,” he said.

“Major SaaS providers have already embedded analytics deeply. Microsoft has integrated analytics, data engineering and BI under Fabric. Salesforce has integrated Tableau into its CRM stack. SAP and Oracle have embedded analytics within ERP and planning environments. Workday extended its HR and finance stack with Prism Analytics,” he added.

The AI challenge

ServiceNow and its SaaS peers are also contending with rising pressure from AI-native challengers such as Anthropic, which are building agent-first architectures unencumbered by legacy enterprise stacks, according to a Deloitte study.

That competitive dynamic is likely to push traditional SaaS providers, including ServiceNow, toward becoming full-stack, end-to-end agentic platforms capable of building, orchestrating, running, and governing AI agents seamlessly across business workflows, the report anticipates.

Against this backdrop of intensifying platform competition, the acquisition also reflects a broader fight for relevance  and revenue  inside increasingly scrutinized enterprise IT budgets.

CIOs are also having to choose between SaaS offerings because they are under financial pressure to justify their tech expenditure and budgets, Gogia said.

“Overlapping analytics tools are often the first to face scrutiny. By embedding enterprise grade analytics and foundations for agentic AI inside its platform, ServiceNow strengthens its wallet share argument and reduces displacement risk,” he added.