Tech Roadmap: Enablers Of Industrial AI Applications (2025)

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Executive Summary

This Tech Roadmap report clarifies the business value, pace of innovation and maturity of 18 critical technologies that empower the development and deployment of AI in industrial settings. Verdantix conducted a fact-based assessment of the maturity, innovation, future prospects and business value of each solution, and provides investment advice for buyers. Managers responsible for selecting technologies for their operations should use this report to identify technologies that enhance industrial AI applications. The technologies identified range from those in Research and Development, such as quantum computing, to Growth stage technologies, such as edge computing and predictive analytics. Technology buyers can use the Tech Roadmap methodology to identify new technologies for pilot projects and to assess vendor product roadmaps. Risk-averse firms should focus on the potential of technologies with proven business value that are in the Growth or Maturity phases of the technology life cycle. Innovators and early adopters should take note of Launch phase technologies.
Introducing the Tech Roadmap analysis
Key questions answered by the Tech Roadmap analysis
Tech roadmap analysis aligns with operational optimization and automation
Tech Roadmap for enablers of industrial AI applications
Defining the market for enablers of industrial AI applications
Methodology overview
Identifying the five market phases of technology maturity
Three technology life cycles differentiate business value
Technology adoption and success influence positioning
Pace of innovation determines the time to the next lifecycle phase
Enablers of industrial AI applications in Phase 1: Research and Development
Quantum computing
Speech-to-speech AI
Enablers of industrial AI applications in Phase 2: Launch
AI agents
Explainable AI
GenAI copilots
Knowledge graphs
Multimodal AI
Synthetic data from generative models
Synthetic data from simulation environments
Enablers of industrial AI applications in Phase 3: Growth
Anomaly detection
Autonomous robotics
Computer vision
Edge computing
Hyperscale cloud platforms
Industrial DataOps
Industrial Internet of Things (IIoT) platforms
Predictive analytics
Retrieval-augmented generation (RAG)
Figure 1. Enablers of industrial AI applications: Tech Roadmap technology solution groupings
Figure 2. Tech Roadmap for enablers of industrial AI applications
Gretel AI, KUKA, Amazon Robotics, Retrocasual, Noema, IonQ, Accenture, HighByte, Dell, ElevenLabs, Fetch Robotics, ABB, MachineMetrics, Particle, Doosan Robotics, Yokogawa, Falkonry, TTTech Industrial, Protex AI, Microsoft, RapidMiner, MathWorks, Litmus Automation, Tonic AI, KPMG, Cognite, Blynk, Fiddler AI, Capgemini, ANYbotics, UiPath, D-Wave Systems, Figure, Huawei, IntelliView Technologies, DataKitchen, Oracle, DeepSeek, Hexagon, Hitachi Vantara, Scale AI, Google, Bridger Photonics, Sight Machine, Intellico, CARLA, Datadog, Baker Hughes, Bentley Systems, Zebra Technologies, Schneider Electric, IFS, Chetu, Trendminer, Vanti, Hitachi Energy, Pragma, GE Vernova, Cognex, Marathon Oil, dataPARC, Datagen, QiO Technologies, Cisco, Intenseye, OpenAI, AnyLogic, LlamaIndex, CleanConnect.ai, SAP, EdgeConneX, Kuva Systems, Overview, Levatas, Anthropic, Unstructured, AI21 Labs, Quantum Flagship, Palantir, Akira, DataRobot, Devo, SymphonyAI, Uptime AI, Birds.ai, Rhize, Praxis AI, Hewlett Packard Enterprise (HPE), Google DeepMind, Plataine, Bitfrost, Snowflake, Neo4j, Y Combinator, AspenTech, Duke Energy, Salesforce, Augury, Oxford Quantum Circuits (OQC), GFT Technologies, AVEVA, LangChain, Augmentir, LandingAI, Boston Dynamics, Peak, IBM, ClearBlade, MetAI, Gazebo, Amazon, GlobalFoundries, C3 AI, juna.ai, Siemens, Avathon, Deepgram, Smartia, SUS Corporation, FANUC, PTC, Alibaba Cloud, NVIDIA, Relimetrics, Hugging Face, Cybus, Talend, Amazon Web Services (AWS), H2O.ai, Honeywell, Synthesis AI, Mobile Industrial Robots (MiR), Oden Technologies, Inductive Automation, BlueSkye Automation, nFlux, Fogwing, T-robotics, Fero Labs

About the Authors

Henry Kirkman

Henry Kirkman

Industry Analyst

Henry is an Industry Analyst in the Verdantix Industrial Transformation practice. His current research agenda focuses on connected worker solutions, technologies for indu…

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Robin Sureda-Tasis

Robin Sureda-Tasis

Analyst

Robin is an Analyst in the Verdantix Industrial Transformation practice. Prior to joining Verdantix, he worked as an investment portfolio analyst at a private fund. He holds a…

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Malavika Tohani

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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