Ceva's AI DSP technology, SensPro, is embedded in NXP’s S32Z2 and S32E2 real-time processors to enable real-time AI inference and intelligent control for software-defined vehicles.

The collaboration enables real-time analytics, energy management, predictive maintenance, driver monitoring, in-cabin voice control, and intelligent perception within safety-critical automotive applications.

Ceva emphasizes the vast reach of its IP, with over 20 billion devices shipped and more than 400 customers, highlighting low power consumption and flexible integration into existing design flows across auto, wearables, IoT, autonomous vehicles, and 5G infrastructure.

Ceva reported Q3 2025 revenue of $28.4 million, up 4% year over year, but non-GAAP earnings per share of $0.11 fell short of the $0.14 consensus; analysts from Roth/MKM raised the price target to $35 with a Buy rating on revenue momentum and anticipated royalty growth.

The CES 2026 conference in Las Vegas served as the public unveiling of this collaboration, according to Ceva’s press release.

Ceva’s press release frames the collaboration within CES 2026 announcements and cites official product and market data sources.

The release cross-references market and product pages for Ceva SensPro and NXP S32Z2/S32E2, and includes standard corporate boilerplate and multimedia download links.

Market context shows software-defined vehicle demand growing from about $213.5 billion in 2024 to over $1.2 trillion by 2030, at a CAGR around 34%, driven by centralized compute architectures and software-driven features.

This market trajectory underscores the strategic importance of the Ceva-NXP collaboration in enabling real-time, high-performance processing for software-defined vehicles.

Earlier efforts include Ceva's collaboration with Sensory for voice activation in NeuPro-Nano NPU and partnerships such as United Microelectronics for the HyperMotion 5G RedCap Automotive IoT Platform, illustrating a broader push into automotive connectivity.

The S32Z2 and S32E2 processors are engineered for high-performance, deterministic control across multi-application environments and support AI inference for real-time decision-making.