Verdantix Ltd.

01/16/2025 | News release | Distributed by Public on 01/16/2025 06:17

Vendors Converge On The Industrial Data Management Software Opportunity In First-Ever Green Quadrant Benchmark

Vendors Converge On The Industrial Data Management Software Opportunity In First-Ever Green Quadrant Benchmark

The recently published 2025 Verdantix Green Quadrant: Industrial Data Management Solutions report evaluates the technical and functional capabilities and market momentum of the 11 most prominent vendors of industrial-focused data management (IDM) software. The report incorporates learnings from numerous conversations with industrial automation, data and AI practitioners, in the wake of an initial Strategic Focus report on DataOps in 2022, a high-level assessment of IDM Smart Innovators in 2023 and a Buyer's Guide in 2024. It also includes data from operational excellence and industrial transformation global corporate surveys of hundreds of practitioners - most recently, with 304 industrial decision-makers, concluding towards the end of 2024.

In addition to prior research, this first-of-its-kind IDM Green Quadrant was based on two-hour demonstrations with participating vendors, a 111-point questionnaire and continued desk research, to form a view of the IDM software market. The study also validated vendor assessments with 23 IDM solution users, to understand buyer sentiment, demands and challenges. Key findings?

  • Six vendors place in the Leaders' Quadrant.
    Verdantix identified 50 vendors with offerings categorized as either IDM-embedded analytics, standalone IDM with analytics, or pureplay IDM. Of this 50, the 11 assessed in the Green Quadrant offer standalone or independently operable IDM solutions with functionality across three core capabilities: (1) industrial data acquisition; (2) data quality management and governance; and (3) data contextualization. Included vendors meet a minimum threshold of $3 million in annual IDM software revenues and have the human, financial and technological resources to serve the needs of diverse customers for the foreseeable future. Of the 11 solutions benchmarked, six providers - ABB, AVEVA, Cognite, Inductive Automation, Palantir and SymphonyAI - demonstrated leading IDM capabilities.

  • Most facilities barely have Industry 3.0, but IDM solutions mean 4.0 isn't far.
    Our survey data from 2024 show that nearly 90% of industrial firms admit that some assets still receive only corrective and planned maintenance. Most practitioners just want to maximize the performance of their assets. In addition, technical, cost and cultural barriers mean that the current state of digitization is insufficient for most buyers to deploy enterprise-scale knowledge graphs or automate back-office operations with AI agents. Modern iterations of SCADA from Inductive Automation, and open-source solutions such as the MING stack are, however, lowering entry barriers - delivering IT-OT connectivity and bringing practical ML/LLM-augmented automation within reach of most facilities. Meanwhile, nimble start-ups such as Cybus, HighByte and Litmus Automation already deliver OT-focused, field-hardened DataOps at massive scale, from edge data collection to cloud platform analytics.

  • Market is split into data hub, DataOps platform and DataOps ontology providers.
    This report sees the IDM market segmented into on-premises solutions for supporting basic analytics, hybrid edge-to-cloud architectures for industrial DataOps, and enterprise-scale DataOps ontologies for IT-OT-ET convergence. At the most sophisticated end, DataOps ontology vendors such as Cognite, Palantir and SymphonyAI ingest and index unstructured sources such as technical documentation; integrate these with enterprise systems; and offer ML model building and deployment tools to build not just dashboards, but write-back automations through hyperscalers - and even edge-optimized IDM solutions. The deployment of such extensive world-scale IDM solutions is accompanied by tremendous cost and systems integrator effort - but once deployed, these industrial firms are spoilt for choice in what to automate.

To learn more about the 11 most prominent IDM software firms, the technical considerations of industrial data and AI - and our in-depth take on the broader market - read the full report and join the upcoming webinar.

Joe Lamming

  • LinkedIn
Senior Analyst

Joe is a Senior Analyst in the Verdantix Industrial Transformation practice. His current research agenda covers industrial DataOps, AI/ML analytics and applications of generative AI for industry and enterprise. Prior to joining Verdantix, Joe worked in the consumer electronics industry, where he gained experience in overseas manufacturing, product design and data science. Joe holds an MEng in Mechanical Engineering and Sustainable Energy Systems from the University of Southampton.