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For years, the limiting factor in automotive diagnostics was data — how to collect it, move it and gather enough to understand what was happening inside a vehicle.

Modern products behave less like applications and more like ecosystems. A single customer experience spans embedded controllers, cloud services, mobile apps, supplier components and real-time data pipelines.

Survey shows smart diagnostics and predictive maintenance emerging as top use cases for AI in software-defined vehicles industry, but expected monetisation yet to materialise

Fleets have the potential to save thousands of dollars per vehicle and hours of labor costs with emerging artificial intelligence tied to fleet maintenance. But how do you get beyond the “AI” buzzword into genuine operational solutions?

Smart diagnostics and predictive maintenance are now the leading AI use cases inside software-defined vehicles, cited by 34% of respondents in a global survey from Sonatus and Omdia.

Artificial intelligence is steadily making its way into commercial vehicles, but today’s deployments tend to be narrowly focused — designed to solve one pain point at a time. Fleets might use AI to improve maintenance planning, OEMs might apply it to accelerate validation, and suppliers may experiment with in-vehicle models.

Sonatus makes its AI Technician, Collector AI and AI Director solutions available via SDVerse to support AI-defined vehicle development and life-cycle management

As automakers move toward centralized computing platforms and over-the-air updates, collision repairers face new demands in tooling, training, and data management.

Electric vehicle (EV) design now requires a system-level approach. Decisions in one subsystem directly influence performance across the entire vehicle. Engineering work is shifting toward managing how these interactions behave under real operating conditions.

If you’ve spent any time configuring VLANs, tuning QoS policies, or troubleshooting Ethernet switching infrastructure, the architectural challenges now facing the automotive industry will feel surprisingly familiar.

Ireland leads the countries covered in new research from Indeed Hiring Lab on workplace AI use. The survey covers more than 80,000 workers across countries, including Ireland, and shows that 70% of Irish workers use AI as part of their job.

Electric vehicle (EV) development is increasingly defined by software complexity, data volume, and shorter validation timelines. As a result, artificial intelligence (AI) is being introduced across development and testing workflows to accelerate engineering cycles, improve diagnostic depth, and reduce reliance on late-stage physical validation.