Verdantix Market Insight

Verdantix Market Insight: The Rise of Industrial AI Analytics

Industrial firms need to act fast on what's happening across operations. But data scattered across historians, MES, EAM, and other specialist systems slows the decisions that protect uptime, safety, and yield.

This Verdantix Market Insight report, based on a survey of 51 engineering and operations professionals, examines how a connected analytics decision layer scales engineering expertise and, with AI-augmented investigation, speeds answers while keeping engineers in control.

Spotlight on Spotfire

Spotfire is a visual industrial AI analytics platform built for the conditions described in the report. Each capability below addresses a requirement identified in the survey data.

A decision layer, not another isolated system.

Spotfire acts as the industrial analytics decision layer above existing historian, MES, EAM, and enterprise sources, unifying the fragmented insights those systems produce into a single analysis. It augments specialist tools rather than replacing them, and adds no new silo to integrate.

Industry-native, ready to adapt.

The capabilities respondents ranked highest, from reliability analysis to statistical process control, are built into Spotfire Industry Pro. Accelerators give customers a fast start they can adapt as they see fit.

Proprietary methods, governed and reusable.

Teams capture their own calculations, engineering practices, and workflows as reusable applications that can be shared, versioned, and governed centrally, so institutional knowledge is operationalized and carried forward.

Built for investigation, not single answers.

Visualizations and computations stay live and linked. An engineer can mark an unusual group in one view and immediately ask what distinguishes it, following the evidence across data sources.

AI-augmented investigation inside the analysis environment.

Spotfire AI, including Insight Agents, runs on the platform's governed analytics and industry-native views, so results are reproducible, traceable, and open to challenge rather than generated in an isolated session. The engineer validates the evidence and stays in control of the decision.

Spotfire has been applied at scale in semiconductor manufacturing and in oil and gas for many years, among the most data-intensive and highest-consequence industrial environments in operation. The same requirements are now emerging in life sciences and other process industries.