Green Quadrant: Industrial AI Analytics Software (2025)

Report
Industrial Analytics & Data Management
Henry Kirkman
Henry Kirkman
Jatinder Devgun
Jatinder Devgun
Josh Graessle
Josh Graessle
Malavika Tohani
Malavika Tohani
24 Sep, 2025

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Executive Summary

This report provides a detailed, fact-based benchmark of 19 of the most prominent industrial AI analytics software providers in the market. Based on the proprietary Verdantix Green Quadrant methodology, our analysis included live briefings, customer interviews and vendor responses to a detailed 105-point questionnaire, covering 14 capability and seven momentum categories. This study finds that the industrial AI analytics market is evolving, as organizations prioritize platforms that can scale beyond pilots, unify and contextualize diverse data sources, and embed AI-driven insights directly into operational workflows. Firms are seeking solutions that not only predict and prevent failures, but optimize yield, quality and energy use, while supporting enterprise-wide performance improvement and sustainability goals. Among the providers featured in the Leaders’ Quadrant, nine firms – ABB, Augury, AVEVA, C3 AI, Cognite, GE Vernova, IBM, Seeq and SymphonyAI – demonstrated the most comprehensive industrial AI analytics capabilities.
Summary for decision-makers
How to use the Green Quadrant for industrial AI analytics software
Industrial AI analytics solutions address the core levers of industrial resilience
Green Quadrant for industrial AI analytics software
Green Quadrant methodology
Scope and methodology for the 2025 Green Quadrant industrial AI analytics software study
Evaluated firms and inclusion criteria
Evaluation criteria for industrial AI analytics software vendors
ABB overview
ABB Ability Genix Industrial IoT and AI Suite unifies data to accelerate industrial AI at scale
Augury overview
Augury delivers strong predictive maintenance capabilities and performance guarantees via proprietary sensors
Avathon overview
Avathon’s Industrial AI Platform provides supply chain, quality and predictive maintenance capabilities to heavy asset industries in North America
AVEVA overview
AVEVA delivers leading AI analytics for key operations use cases, with a flexible pricing model
C3 AI overview
C3 AI unifies governed ML models with GenAI to deliver market-leading AI analytics
Cognite overview
Cognite powers custom AI Agents with its context-rich industrial knowledge graph
Emerson's Aspen Technology business overview
AspenTech’s proven and well-established solution boosts reliability, safety and process efficiency for large enterprises with global operations
GE Vernova overview
GE Vernova Proficy and APM turn industrial data into automated workflows, lowering operational resource intensity
Honeywell overview
Honeywell supports process manufacturing firms with proven predictive maintenance and a strong agentic AI product roadmap
IBM overview
IBM boasts a robust platform with extensive AI analytics functionality for larger enterprises
Imubit overview
Imubit offers market-leading process and production optimization capabilities for oil and gas firms in North America
Nanoprecise overview
Nanoprecise provides an energy-centric approach to predictive maintenance, supported by an ROI guarantee
Optimistik overview
Optimistik contextualizes process data to pinpoint profit-draining quality issues
Rockwell Automation overview
Rockwell Automation unifies supply chain and quality management in a contextualized industrial data hub
Seeq overview
Seeq’s leading data contextualization and ML model development capabilities power robust process optimization and predictive maintenance analytics
Siemens overview
Siemens combines a services-led approach with robust analytics software for successful AI implementations
SymphonyAI overview
SymphonyAI offers a comprehensive industrial AI analytics suite augmented with best-in-class ML model development and training capabilities
TrendMiner overview
TrendMiner analytics turn time series and context into earlier warnings and clearer decisions
TwinThread overview
TwinThread delivers robust AI analytics for process optimization and predictive maintenance, with a highly intuitive UI
Figure 1. Four fundamental industrial AI analytics technologies
Figure 2. Capabilities criteria for industrial AI analytics software
Figure 3. Momentum criteria for industrial AI analytics software
Figure 4. Vendor category scores: capabilities
Figure 5. Vendor category scores: momentum
Figure 6. Green Quadrant for industrial AI analytics software 2025

About the Authors

Henry Kirkman

Henry Kirkman

Industry Analyst

Henry is an Industry Analyst at Verdantix. His current research agenda focuses on quality management, field service management and industrial applications of AI, including Gen...

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Jatinder Devgun

Jatinder Devgun

Senior Analyst

Jatinder is a Senior Analyst at Verdantix, providing insights on emerging technologies and market dynamics for technology buyers and software vendors. His expertise lies in as...

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Josh Graessle

Josh Graessle

Senior Analyst

Josh is a Senior Analyst at Verdantix, covering asset maintenance management, industrial engineering design and construction, and asset management services. He advises softwar...

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Malavika Tohani

Malavika Tohani

Research Director

Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...

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