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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Solid state LiDAR typically uses a time-of-flight (ToF) sensor array to collect the 3D data provided and a single laser beam to illuminate the scene in front of it. Compared to a normal scanning LiDAR sensor, these solid-state sensors are less expensive and more dependable because they have fewer or no moving parts. A complete hemisphere of vision can be 3D depth-mapped in a single image.
The unavoidable inaccuracy that results from employing a 3D Lidar to measure depth is known as a depth error. As a general rule, this value falls between 1 cm and 5 cm for the majority of 3D Lidar. When the error value is within 1 cm to 5cm and the field of view is large enough, it seldom ever produces a discernible difference for localization.
Solid-state LiDAR is a type of remote sensing that is totally based on silicon chips that measures an item by projecting a laser pulse beam onto it. By using photodiodes and the receiving sensor, it measures the time at which the reflected beam arrived.
Air quality monitoring, intelligent robotics and machine vision, 3D object representation, autonomous vehicles, and service robots in hospitals and other customer-focused settings are some of the uses of solid-state LiDAR.
| S No | Company Name | Development |
|---|---|---|
| 1 | ZF Group | A New 3D Solid-State Lidar Sensor is Being Developed by ZF for Industrial Uses. ZF claims that the sensor has the capacity to simultaneously process several laser pulses in order to produce a high-resolution 3D model of its surroundings. Furthermore, the environment is produced in great detail, which aids autonomous systems in having a more accurate "sight" of their surroundings. |
| 2 | Blickfeld | For use on highways, Blickfeld introduced 3D solid-state lidar with a longer range. The Cube Range sensor, which was created as a reliable and potent 3D solid-state lidar for the mass market, has a range of 150 m (490 ft) with 10% reflection and up to 250 m (820 ft) with greater reflection. A noteworthy resolution of 0.18° is also displayed by the Cube Range. |
Additionally ZF Group enhancing accuracy and safety for autonomous systems, this sensor can identify accident barriers, traffic signs, moving cars, cyclists, and pedestrians as well as their positions and movements.
A version created by Ibeo and SICK for the automotive industry serves as the foundation for the new solid-state lidar sensor, which ZF will also manufacture.At ZF, they constantly employ lidar with every sensor set starting at Level 4 - but of course, the sensor already greatly increases safety and comfort starting at Level 2 and beyond.
The customised silicon MEMS mirror that is at the heart of the new sensor by Blickfeld housed inside a coaxial construction built from components that are widely available in the marketplace. With the Cube Range, they have produced a remarkable lidar that, due to its amazing characteristics, is particularly ideal for driving at highway speeds because it still produces accurate environmental photos in these circumstances.
The new 3D Solid-state LiDAR, ML-X from SOSLAB is smaller than previous models and has a measuring distance and resolution that have been more than doubled.
A brand-new 256-pixel 3D LiDAR solution will be on display by TriLumina Corp. A significant advancement in car sensing may be seen in this high-resolution 3D LiDAR. This solid-state LiDAR technology is the key to the development of the ADAS and driverless vehicles of the future. It is powered by illumination modules from TriLumina.
Solid-state, wide-field of view LiDAR CE30 is introduced by Benewake. Within a 60° horizontal FOV and a 4° vertical FOV, it could produce both grayscale and depth information concurrently. Internally, there are no mechanical spinning parts, which might guarantee improved reliability and stability.
The Global 3D solid state Lidar market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
| S NO | Overview of Development | Development Detailing |
| 1 | New 3D solid-state LiDAR sensors from Ibeo and SICK, the Alliance for Industrial 3D LiDAR Sensors, are revolutionising the industrial sector.
| Ibeo is contributing its ibeoNEXT measuring core for this collaboration. To address industrial applications, SICK created the system design and application software for a new industrial LiDAR sensor. This work will be done in accordance with the needs of the customer. The industrial sector will undergo increasing upheaval over the next few years due to autonomous systems. |
There is a lot of room for the use of intelligent sensor technologies in mobile applications outside of industrial facilities.
They will be able to employ reliable and highly advanced technology from the automobile industry for applications in the industrial sector of the future due to their relationship with Ibeo. This is one of the biggest agreements for LiDAR cooperation ever reached in the industrial sector.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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