Innoviz Technologies Unveils Off‑the‑Shelf InnovizSMART LiDAR for Smart‑Infrastructure Applications

INVZ
January 27, 2026

Innoviz Technologies announced that its InnovizSMART LiDAR platform is now available for order with short lead times and expanded production capacity. The off‑the‑shelf sensor is built on the company’s automotive‑grade technology and is engineered for smart‑infrastructure use cases such as perimeter security, traffic management, robotics, and aerial systems, delivering high‑resolution 3D point clouds, a 450‑meter detection range, PoE connectivity, and low power consumption.

The platform’s design emphasizes 24/7 performance in harsh outdoor conditions and seamless integration into existing infrastructure. Its automotive heritage gives it a proven track record of reliability, while the simplified installation and power‑over‑Ethernet capability reduce deployment complexity for city planners and industrial operators.

The smart‑city and robotics markets are projected to reach $1.95 trillion by 2032, growing at a 15.1% CAGR. By offering a ready‑to‑buy, high‑margin LiDAR solution, Innoviz aims to capture a share of this expanding addressable market and diversify its revenue base beyond automotive sales.

Financially, Innoviz reported Q3 2025 revenue of $15.3 million versus a $12 million consensus, a 46% year‑over‑year increase that underscores the company’s execution strength. The new product line is expected to accelerate revenue growth further by opening high‑margin industrial segments that were previously untapped.

CEO Omer Keilaf said the launch “marks a major milestone in our smart‑infrastructure strategy. Customers can now procure a durable, reliable automotive‑grade LiDAR with short lead times and no customization required, delivering proven performance for a wide range of smart applications.”

Investors remain cautious amid broader sector headwinds, but the launch signals Innoviz’s commitment to expanding its market reach and strengthening its competitive position in the high‑growth smart‑infrastructure space.

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