Smart Automotive
Drive smarter decisions and safer mobility with onboard and hybrid AI.
Today’s Reality
The automotive predictive maintenance market is set to grow from $22B in 2023 to $100B by 2032, driven by demand for real-time diagnostics and reduced downtime.1
Though predictive maintenance adoption is growing, fewer than 50% of automotive firms currently use onboard AI analytics for maintenance or safety2
Current Challenges
- Vehicle sensors generate massive data without intelligent filtering.
- Strict power and compute limits constrain AI models.
- Current systems miss driver behavior and safety anomalies.
Tomorrow’s Reality
Deploy onboard AI for predictive maintenance and driver safety.
Use edge AI for real-time analytics with minimal power draw.
Integrate with fleet management, telematics, and in-vehicle systems.
The Blaize Solution
1
Low-Power AI inference for embedded and fleet applications
2
Real-time sensor fusion for safety, diagnostics, and performance
3
Hybrid-ready platforms to scale across OEMs and commercial fleets
Key Benefits
Help lower fleet costs through predictive maintenance
Assist with driver safety with AI-based monitoring
Powers next-gen automotive intelligence with minimal compute footprint
Whats Happening
Blaize AI Platform Markets
Start the Journey
- Market.us: The global automotive predictive maintenance market is projected to expand from $22 billion in 2023 to approximately $100 billion by 2032, growing at a CAGR of 18.6%.
- Master of Code: Currently, 47% of manufacturing organizations (including automotive) use predictive maintenance solutions. AI-driven systems have demonstrated 30–40% reductions in maintenance costs and can cut downtime by up to 50%.