Green Quadrant: Industrial Data Management Solutions 2025
10 Jan, 2025
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Executive Summary
This report provides a detailed fact-based comparison of the 11 most prominent industrial data management (IDM) software providers in the market. Based on the proprietary Verdantix Green Quadrant methodology, our analysis comprised two-hour live product demonstrations with pre-set scenarios, desk research and vendor responses to a 111-point questionnaire covering 15 technical and nine market momentum categories. Verdantix also conducted interviews with 23 software users and reviewed data from our global survey of 304 industrial transformation decision-makers. Verdantix research finds that the IDM software market is driven by the increasing maturity of AI, the industrial Internet of Things (IIoT) and analytics-focused maintenance strategies, alongside continued demand for sustainability reporting. Vendors are differentiating themselves by offering robust out-of-the-box connectors, industrial DataOps capabilities facilitating unified namespaces (UNS), and even enterprise-scale knowledge graphs. Vendors also leverage partnerships with enterprise data platforms for greater scalability and AI-driven analytics. Among the firms analysed in this study, six providers – ABB, AVEVA, Cognite, Inductive Automation, Palantir and SymphonyAI – demonstrated leading IDM capabilities.
Summary for decision-makers
The state of the industrial data management (IDM) software market
Analytics for specific use cases will drive spend on data management solutions in 2025
Industrial DataOps requires a very particular set of skills
Growth in spend on IDM solutions stems from a renewed obsession with industrial AI readiness
While most facilities are still barely at Industry 3.0, the steps to 4.0 and beyond are easier than ever
LLM-driven unstructured data management is the next practical application for industrial AI
Challenges with AI model reasoning performance and reliability continue to limit their deployment outside carefully crafted IDM use cases
Green Quadrant for IDM software 2025
Green Quadrant methodology
Scope and methodology for the 2025 Green Quadrant IDM software study
Evaluated firms and selection criteria
Evaluation criteria
ABB overview
ABB’s ambitious digital transformation partnerships drive maturity of its IDM products
AVEVA overview
AVEVA offers a leading process historian and contextualization solution
Cognite overview
Cognite provides a market-leading DataOps and AI platform for enterprise-scale, complex IDM projects
Cybus overview
Cybus offers scalable and repeatable text-based configuration of OT DataOps for systems integrators and manufacturing IT managers
Hexagon overview
Hexagon’s IDM solutions offer a robust foundation to springboard industrial firms’ asset management, engineering and process safety strategies
HighByte overview
HighByte enables market-leading interoperability of OT data for use in advanced analytics
Inductive Automation overview
Inductive Automation offers a deeply configurable IDM solution disguised as SCADA
Litmus Automation overview
Litmus Automation offers market-leading industrial edge device connectivity to fast-track manufacturing firms’ analytics ambitions
Palantir overview
Palantir’s enterprise-focused DataOps and AI offerings are unparalleled in their sophistication
Sight Machine overview
Sight Machine offers a manufacturing data platform for valuable analytics
SymphonyAI overview
SymphonyAI delivers an increasingly capable and highly configurable industrial DataOps and AI platform
The state of the industrial data management (IDM) software market
Analytics for specific use cases will drive spend on data management solutions in 2025
Industrial DataOps requires a very particular set of skills
Growth in spend on IDM solutions stems from a renewed obsession with industrial AI readiness
While most facilities are still barely at Industry 3.0, the steps to 4.0 and beyond are easier than ever
LLM-driven unstructured data management is the next practical application for industrial AI
Challenges with AI model reasoning performance and reliability continue to limit their deployment outside carefully crafted IDM use cases
Green Quadrant for IDM software 2025
Green Quadrant methodology
Scope and methodology for the 2025 Green Quadrant IDM software study
Evaluated firms and selection criteria
Evaluation criteria
ABB overview
ABB’s ambitious digital transformation partnerships drive maturity of its IDM products
AVEVA overview
AVEVA offers a leading process historian and contextualization solution
Cognite overview
Cognite provides a market-leading DataOps and AI platform for enterprise-scale, complex IDM projects
Cybus overview
Cybus offers scalable and repeatable text-based configuration of OT DataOps for systems integrators and manufacturing IT managers
Hexagon overview
Hexagon’s IDM solutions offer a robust foundation to springboard industrial firms’ asset management, engineering and process safety strategies
HighByte overview
HighByte enables market-leading interoperability of OT data for use in advanced analytics
Inductive Automation overview
Inductive Automation offers a deeply configurable IDM solution disguised as SCADA
Litmus Automation overview
Litmus Automation offers market-leading industrial edge device connectivity to fast-track manufacturing firms’ analytics ambitions
Palantir overview
Palantir’s enterprise-focused DataOps and AI offerings are unparalleled in their sophistication
Sight Machine overview
Sight Machine offers a manufacturing data platform for valuable analytics
SymphonyAI overview
SymphonyAI delivers an increasingly capable and highly configurable industrial DataOps and AI platform
Figure 1. Industrial transformation leaders must choose between three distinct IDM approaches in 2025
Figure 2-1. Plant digital transformation spending increases are in part driven by the maturity of IIoT and AI solutions
Figure 2-2. Plant digital transformation spending increases are in part driven by the maturity of IIoT and AI solutions
Figure 3. Sensor monitoring was used for asset maintenance at the majority of industrial firms in 2024
Figure 4. Discrete manufacturing and oil and gas are the most digitally mature industries
Figure 5. Practitioners see automated prioritization, production optimization and data unification as the top high-value use cases for AI
Figure 6. Lack of awareness, trust and data quality issues hobble AI projects
Figure 7. The IDM vendor landscape
Figure 8. Technical capabilities criteria for IDM software
Figure 9. Momentum criteria for IDM software
Figure 10. Vendor category scores (capabilities)
Figure 11. Vendor category scores (momentum)
Figure 12. Green Quadrant for IDM software 2025
Figure 2-1. Plant digital transformation spending increases are in part driven by the maturity of IIoT and AI solutions
Figure 2-2. Plant digital transformation spending increases are in part driven by the maturity of IIoT and AI solutions
Figure 3. Sensor monitoring was used for asset maintenance at the majority of industrial firms in 2024
Figure 4. Discrete manufacturing and oil and gas are the most digitally mature industries
Figure 5. Practitioners see automated prioritization, production optimization and data unification as the top high-value use cases for AI
Figure 6. Lack of awareness, trust and data quality issues hobble AI projects
Figure 7. The IDM vendor landscape
Figure 8. Technical capabilities criteria for IDM software
Figure 9. Momentum criteria for IDM software
Figure 10. Vendor category scores (capabilities)
Figure 11. Vendor category scores (momentum)
Figure 12. Green Quadrant for IDM software 2025
Mitsubishi, j5, Catalent, Seeq, Accenture, Factry, General Mills, Meta, INX International Ink, Citibank, Atomico, Transition Technologies PSC (TT PSC), Vandemoortele, FTI, HighByte, Dell, B&L Information Systems, EY, ABB, MachineMetrics, Yokogawa, MSC Software, Fluke Reliability, Databricks, Falkonry, Nordstjernan Growth, Rockwell Automation, Standard Investments, Tesla, Helios Solutions, Infor EAM, Microsoft, Accel, MPDV, Litmus Automation, Fortune, Cursor, Vale Mining, Apache NiFi, Cognite, TwinThread, MySQL, UK National Health Service (NHS), International Organization for Standardization (ISO), Sailthru, Capgemini, ANYbotics, Porsche, Aker Solutions, Georgia-Pacific, Viewport.ai, Eclipse Mosquitto, Airbus, NTT DATA, ETQ, Essex Furukawa, Poclain, Jacobs, Cosmo Oil Company, Apple, Crosser, Oracle, Nippon Gases, Flat Capital, Itus Digital, EQT Ventures, Hexagon, C3.ai, Altair, Google, Skkynet, Sight Machine, OpenText, Apache Software Foundation, Sepasoft, Cirrus Link, Bentley Systems, Schneider Electric, IFS, Opto 22, Inbox Capital, Trendminer, Miele, Hitachi Energy, BASF, Blue Yonder, GE Vernova, MaestroHub, TCV, Sonoco, Johnson & Johnson, OpenAI, Invensys, PAS Global, SAP, Belden, ROI-EFESO, FlowFuse, Hemlock Semiconductor, Tata Consultancy Services (TCS), Kubeflow, Ferroloy, Anthropic, Amcor, Bayer, ENGIE, Intertape Polymer Group, Gousto, Vulcan Energy Resources, Dataiku, Palantir, Wipro, Cerence, DataRobot, TSMC (Taiwan Semiconductor Manufacturing Company), Omny, KRONE, SymphonyAI, GitHub, George Reed, Aker ASA, Mistral, Volkswagen, Pinnacle, UMH, APERIO, Intergraph, Snowflake, Artek Integrated Solutions, Cargill, InfluxData, TeamViewer, AspenTech, Grafana, Salesforce, Augury, Radix, Exposition Ventures, 4IR, Quartic, Klarna, DXC Technology, Saudi Aramco, AVEVA, Node-RED, Nippon Shokubai, Asian Paints, Kubernetes, Canary Labs, Maine Venture Fund, Boston Dynamics, Moderna, Teradata, Enablon, Shell, ExxonMobil, Keras, Jupyter, Johnson Controls, Perstorp, Siemens, Python, SLB, Autodesk, Timeseer.ai, Nanoprecise, HiveMQ, FANUC, PayPal, gRPC, Infosys, Lake Cable, PTC, Northrop Grumman, Pfizer, NVIDIA, BP, Maibornwolff, Richemont, Deloitte, Cybus, Fluid Framework, Amazon Web Services (AWS), UptimeAI, Leica Geosystems, Wood, SKF Group, Lear Corporation, Braincube, SCHUNK, Emerson, Alcon, Honeywell, Drax, Oden Technologies, SANY, Inductive Automation, Celanese, Alibaba, PwC, Coca-Cola, Cognizant, Tyson Foods, Sift, Aker BP, FORBES
About the Authors
Joe Lamming
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 generat…
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Malavika Tohani
Research Director, Industrial Transformation
Malavika leads the Verdantix Industrial Transformation practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins…
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