Innoviz Unveils InnovizThree: 60% Smaller Colored LiDAR for OEMs
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 06 2026
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Source: Newsfilter
- Product Innovation: Innoviz's InnovizThree LiDAR is 60% smaller than its predecessor, integrating an RGB camera within the same module, which simplifies OEM sensor integration and reduces overall costs for customers.
- Market Expansion: The new LiDAR is designed for drones, micro-robotics, and humanoids, unlocking new business growth potential and addressing the expanding market demand, particularly in autonomous driving and smart devices.
- Integration Efficiency: With hardware-synchronized capture and factory-aligned RGB sensors, InnovizThree ensures precise visual-to-LiDAR geometry across production units, significantly reducing calibration efforts during vehicle integration for OEMs.
- Strategic Positioning: Innoviz's innovation not only enhances product performance but also provides OEMs with a cleaner path to multi-sensor perception, expected to accelerate time-to-market and optimize engineering resources, further solidifying its leadership in the LiDAR market.
Analyst Views on INVZ
About INVZ
Innoviz Technologies Ltd. is an Israel-based company engaged in the electronics sector. The Company is a provider of high-performance, solid-state LiDAR (Light Detection and Ranging) sensors and perception software, enabling safe autonomy across the automotive, robotics, drone, and mapping industries. The Company develops and commercializes advanced LiDAR solutions that deliver high-resolution, real-time 3D imaging for autonomous systems. The Company’s flagship products, InnovizOne and InnovizTwo, are automotive-grade, solid-state LiDAR sensors designed for mass production. These sensors provide superior range, resolution, and reliability, meeting the stringent requirements of Level 3-5 autonomous vehicles. The Company complements its hardware with AI-driven perception software that enables object detection, classification, and tracking. This software enhances the performance of autonomous systems by interpreting complex environments in real time.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
