Industrial organizations are accelerating their adoption of AI-driven technologies to improve efficiency, reduce downtime, and unlock greater value from their operational data. Yet selecting the right technology enablers—those that fit both current infrastructure and future use cases—can be a challenge.
This Verdantix Tech Roadmap report offers a fact-based assessment of 18 critical technology categories that are shaping the future of Industrial AI. The analysis helps decision-makers prioritize investments based on business value, innovation pace, and maturity. The identified technologies range from those in Research and Development, such as Quantum Computing, to growth-stage technologies, including Edge Computing and Industrial DataOps.
Technology buyers can use the Tech Roadmap to identify new technologies for pilot projects and to assess vendor product roadmaps.
Read this report to uncover:
The top technologies driving operational excellence in Industrial AI
Maturity levels and growth potential for key enablers like infrastructure and computing, data management, and human-AI interaction
Investment recommendations for both pilot initiatives and long-term strategy
A roadmap to align your digital transformation plans with proven and emerging solutions
The Tech Roadmap methodology tracks a technology from its inception through replacement and retirement. Verdantix defines the five maturity phases as Research and Development, Launch, Growth, Maturity, and Decline. The pace of innovation determines the time to the next lifecycle stage based on aspects such as time to market, adoption rates, availability of substitutes, and investment required. Download the report for additional details on methodology and market assessment.
