Automotive Lidar Sensor Sales

Automotive Lidar Sensor Sales Market Outlook

The global automotive Lidar sensor market is projected to reach approximately $4.2 billion by 2035, growing at a CAGR of around 26.4% during the forecast period from 2025 to 2035. This growth can be attributed to the increasing demand for advanced driver assistance systems (ADAS) and the rapid development of autonomous vehicles, which necessitate high-precision sensing technologies. Furthermore, rising investments by automotive manufacturers and technology companies in research and development for enhanced safety features are driving the expansion of the market. As the automotive industry increasingly leans towards automation and smart mobility solutions, Lidar sensors are becoming vital components to ensure vehicle safety and efficiency. The integration of Lidar technology with artificial intelligence and machine learning further enhances its applications in real-world scenarios.

Growth Factor of the Market

The automotive Lidar sensor market is experiencing substantial growth due to several key factors. One of the primary drivers is the increasing necessity for safety features in vehicles, which is leading to a higher adoption of advanced driver assistance systems (ADAS). These systems often rely on Lidar technology for accurate perception of the environment, making it a crucial component. The shift towards fully autonomous vehicles is prompting manufacturers to invest heavily in Lidar systems that can deliver high-resolution mapping and real-time data for navigation and obstacle detection. Additionally, government regulations mandating enhanced safety standards are further propelling the demand for Lidar sensors in automotive applications. The continuous evolution of technology, such as solid-state Lidar and optical phased array systems, is making these sensors more compact, affordable, and efficient, thus broadening their application scope.

Key Highlights of the Market

• The automotive Lidar sensor market is anticipated to grow at a CAGR of 26.4% from 2025 to 2035.
• Significant investments in research and development by automotive manufacturers are bolstering market demand.
• The increasing implementation of advanced driver assistance systems is a major growth factor.
• Technological advancements are leading to the development of more compact and efficient Lidar systems.
• Government regulations promoting vehicle safety are driving Lidar sensor adoption.

By Product Type

Mechanical LiDAR Sensor:

Mechanical LiDAR sensors are among the first types of Lidar technologies utilized in automotive applications, known for their high precision and extensive range. These sensors operate by rotating a laser beam, allowing for a 360-degree field of view to create detailed 3D maps of the surroundings. Their ability to generate high-resolution data makes them ideal for features such as autonomous navigation and environmental sensing. However, they typically require more maintenance due to moving parts and can be more susceptible to wear and tear compared to solid-state alternatives. Despite these challenges, mechanical LiDAR sensors remain popular in the automotive industry, especially in early-stage autonomous vehicles, due to their proven reliability and accuracy.

Solid-State LiDAR Sensor:

Solid-state LiDAR sensors are emerging as a game-changer in the automotive sector due to their compact size and lack of moving parts, which enhances durability and reliability. These sensors utilize technologies such as optical phased arrays to emit and detect laser light, allowing for high-resolution imaging in various environmental conditions. The solid-state design reduces manufacturing costs, making them an attractive option for automotive manufacturers looking to implement Lidar technology in mass-market vehicles. Additionally, their robustness against vibrations and external conditions increases their viability for integration into vehicles intended for diverse operating environments. As the demand for advanced safety features grows, solid-state LiDAR sensors are expected to capture a significant market share in the coming years.

Flash LiDAR Sensor:

Flash LiDAR sensors employ a different approach by illuminating an entire scene with a flash of laser light and capturing the reflected signals with a camera-like sensor array. This technology allows for rapid data collection and is particularly effective in environments with dynamic elements, such as urban traffic. Flash LiDAR's ability to generate images in real-time makes it suitable for applications requiring immediate data processing, such as obstacle detection and avoidance in autonomous vehicles. These sensors are increasingly being integrated into advanced driver assistance systems to provide critical situational awareness. Their ability to operate effectively in various lighting conditions further enhances their appeal within the automotive market.

Scanning LiDAR Sensor:

Scanning LiDAR sensors achieve high precision by using a scanning mechanism that allows them to map their environment effectively. Unlike mechanical LiDAR, which rotates, scanning LiDAR employs a stationary laser that scans across a predefined plane. This capability makes it well-suited for long-range applications in autonomous vehicles, where understanding the landscape's depth is essential for safe navigation. Scanning LiDAR sensors are known for their accuracy over long distances, which is essential for high-speed vehicle operations. However, they may be less effective in complex urban environments where objects and obstacles can obstruct the sensor's line of sight. Despite these limitations, the scanning LiDAR technology continues to find relevance in various automotive applications.

OPA LiDAR Sensor:

Optical Phased Array (OPA) LiDAR sensors utilize a unique technology that enables them to steer laser beams electronically without any moving parts. This electronic steering capability allows for rapid data collection and high-resolution imaging, making OPA sensors highly effective in various driving conditions. Their compact and lightweight nature makes them suitable for integration into modern vehicles where space is a constraint. OPA LiDAR sensors are particularly advantageous in autonomous driving applications, where they can provide real-time feedback on the vehicle's surroundings. The ongoing advancements in OPA technology are likely to further enhance their performance, leading to increased adoption in the automotive sector.

By Application

Autonomous Vehicles:

Autonomous vehicles are one of the most promising applications for automotive LiDAR sensors. These vehicles rely heavily on Lidar technology to perceive their environment, detect obstacles, and navigate safely without human intervention. With the increasing push towards self-driving cars, the demand for advanced Lidar systems that can provide accurate real-time data has surged. Autonomous vehicles utilize Lidar alongside other sensor technologies, such as cameras and radar, to create a comprehensive understanding of their surroundings, enabling safe operation in various conditions. As regulatory frameworks evolve and public acceptance grows, the role of Lidar in autonomous vehicles is expected to expand significantly, driving market growth.

Advanced Driver Assistance Systems:

Advanced Driver Assistance Systems (ADAS) play a critical role in enhancing vehicle safety and comfort. These systems leverage Lidar technology to provide features such as collision avoidance, lane-keeping assistance, and adaptive cruise control. The integration of Lidar sensors allows for precise mapping of the vehicle's environment, leading to more effective and reliable assistance features. As consumer demand for safety features continues to rise, automotive manufacturers are increasingly incorporating Lidar into their ADAS offerings. This trend is further supported by government regulations aiming to improve vehicle safety, thereby driving growth in the automotive Lidar sensor market.

Intelligent Transportation Systems:

Intelligent Transportation Systems (ITS) utilize advanced technologies, including automotive Lidar sensors, to enhance the efficiency and safety of transportation networks. By integrating Lidar into traffic management systems, real-time data on traffic flow, vehicle density, and road conditions can be collected and analyzed. This information enables better decision-making on traffic control and can lead to reduced congestion and improved safety. The growing emphasis on smart city initiatives and the development of connected infrastructure are expected to increase the demand for Lidar technology in ITS applications. The ability to provide accurate and timely information will play a crucial role in future transportation systems.

Mapping and Navigation:

Mapping and navigation applications are significant contributors to the automotive Lidar sensor market. Lidar technology provides high-resolution topographical data that is vital for creating accurate maps, which are essential for both traditional navigation systems and autonomous vehicle operations. The ability to capture detailed 3D representations of the environment allows for enhanced accuracy in route planning and navigation, particularly in complex environments. As mapping technologies continue to evolve, the role of Lidar in providing reliable data for navigation systems is expected to expand, particularly with the increasing focus on autonomous driving solutions. The demand for precise mapping and navigation capabilities will continue to drive Lidar sensor utilization in the automotive industry.

Others:

Aside from the primary applications mentioned above, automotive Lidar sensors are also utilized in various other applications, including robotics, surveying, and environmental monitoring. In the robotics sector, Lidar sensors enable robots to navigate autonomously in dynamic environments, enhancing their operational capabilities. In surveying, Lidar technology provides rapid and accurate data collection for land assessment and urban planning projects. Additionally, environmental monitoring applications benefit from Lidar's ability to detect changes in landscapes, vegetation, and infrastructure. As technology continues to advance, the versatility of Lidar sensors will likely uncover new applications and further diversify their market presence.

By Distribution Channel

OEMs:

Original Equipment Manufacturers (OEMs) represent a substantial distribution channel for automotive Lidar sensors. OEMs are responsible for integrating Lidar technology into new vehicle models, ensuring that these sensors are effectively utilized in advanced safety features and autonomous driving capabilities. The relationship between Lidar manufacturers and OEMs is critical, as it determines the specifications and performance standards required for the sensors to be compatible with various vehicle models. As the automotive industry shifts towards a greater emphasis on safety and automation, OEMs are increasingly incorporating Lidar sensors into their offerings, thus driving market growth. This trend is expected to continue as the demand for high-performance automotive technologies escalates.

Aftermarket:

The aftermarket segment for automotive Lidar sensors is gaining traction as vehicle owners seek to enhance their existing vehicles with advanced safety features. This channel includes retrofitting Lidar systems in vehicles that were not originally equipped with such technology. As awareness of the benefits of Lidar for safety and convenience grows, many consumers are opting to invest in aftermarket solutions to improve their driving experiences. The aftermarket for Lidar sensors offers opportunities for companies to provide tailored solutions and support, catering to individual consumer needs and preferences. This growing demand for aftermarket Lidar solutions is indicative of the increasing importance of safety technologies in the automotive sector.

By Technology

Time-of-Flight LiDAR:

Time-of-Flight (ToF) LiDAR technology is widely used in automotive applications due to its straightforward operational principle, which involves measuring the time it takes for a laser pulse to travel to an object and back. This technology allows for the precise determination of distances, enabling the creation of accurate 3D maps of the environment. ToF LiDAR is especially effective in environments with good visibility, making it suitable for a variety of automotive applications, including collision avoidance and environmental sensing. Its reliability and accuracy have made it a preferred choice among manufacturers, contributing to its significant share in the automotive Lidar sensor market. As advancements continue, ToF LiDAR is expected to remain a leading technology in this space.

Frequency Modulated Continuous Wave LiDAR:

Frequency Modulated Continuous Wave (FMCW) LiDAR technology utilizes continuous wave laser beams that vary in frequency to measure distances. This innovative approach allows for the precise collection of range data while minimizing the impact of ambient light interference. FMCW LiDAR is particularly advantageous for applications requiring high-resolution imaging at various ranges, making it ideal for advanced driver assistance systems and autonomous vehicles. As the automotive industry becomes increasingly focused on safety and automation, FMCW LiDAR technology is gaining popularity, driving demand for its adoption in new vehicle models. Its versatility and effectiveness in diverse conditions position it as a significant player in the automotive Lidar market.

Coherent LiDAR:

Coherent LiDAR technology employs sophisticated techniques to measure the phase of light waves, allowing for highly accurate distance measurement and improved resolution. This technology offers several advantages, including enhanced detection of small objects and improved performance in adverse weather conditions. Coherent LiDAR systems are particularly beneficial for applications that require fine detail and high precision, such as mapping and navigation for autonomous vehicles. As the demand for robust and reliable Lidar solutions grows, coherent LiDAR is expected to carve out a larger share of the automotive market, driven by its capabilities in delivering superior performance compared to traditional systems.

Optical Phased Array LiDAR:

Optical Phased Array (OPA) LiDAR technology represents a significant advancement in Lidar systems, utilizing electronic beam steering to achieve rapid data collection without moving parts. This technology enables OPA LiDAR sensors to provide high-resolution images while being compact and lightweight, making them ideal for integration into modern vehicles. OPA LiDAR's ability to operate effectively in diverse environmental conditions enhances its appeal for autonomous driving applications. As the automotive industry increasingly embraces automation and seeks innovative solutions for safety and navigation, OPA LiDAR is poised to become a key player in the market, with its potential for revolutionizing traditional Lidar systems.

By Region

The North American region is projected to dominate the automotive Lidar sensor market, accounting for approximately 40% of the total market share by 2035. The rapid development of autonomous vehicles and stringent government regulations aimed at enhancing vehicle safety contribute to the high demand for Lidar technology in this region. Major automotive manufacturers in the United States, along with significant investments in research and development, are driving the North American market forward. The presence of leading technology companies focused on Lidar advancements further strengthens the region's position. The average CAGR for this region is expected to be around 25.5% through the forecast period, reflecting robust growth as the industry evolves.

Europe is also a key player in the automotive Lidar sensor market, anticipated to hold a market share of roughly 30% by 2035. The European automotive sector is characterized by a strong focus on safety and environmental sustainability, which drives the adoption of advanced technologies such as Lidar. European countries are investing heavily in smart mobility initiatives and autonomous vehicle development, further propelling demand for Lidar sensors. Additionally, stringent safety regulations across the region encourage automotive manufacturers to incorporate Lidar technology into their vehicles. As a result, the European market is expected to grow at a CAGR of approximately 27% during the forecast period, reflecting the region's commitment to innovation and safety in the automotive industry.

Opportunities

One of the most significant opportunities for the automotive Lidar sensor market lies in the increasing demand for electric and autonomous vehicles. The shift towards electric vehicles (EVs) not only aligns with global sustainability goals but also presents a strong case for the integration of advanced technologies like Lidar. As EV adoption rises, automotive manufacturers are more inclined to incorporate Lidar systems into their designs, enhancing the vehicles' safety features and overall performance. Moreover, the ongoing development of fully autonomous vehicles highlights the need for precise sensing capabilities, creating a ripe environment for Lidar innovation. This convergence of trends presents a vast opportunity for Lidar manufacturers to expand their market reach and customer base.

Additionally, the growth of smart cities and the push for intelligent transportation systems (ITS) represent further opportunities for the automotive Lidar sensor market. As cities worldwide aim to integrate advanced technologies to improve traffic management and overall urban mobility, the role of Lidar in providing real-time data becomes increasingly important. The application of Lidar in urban planning, public transport systems, and congestion management can enhance the efficiency of transportation networks. Lidar technology can facilitate better decision-making, leading to reduced traffic and increased safety. By aligning with these smart city initiatives, Lidar companies can leverage new business opportunities, fostering collaboration with city planners and transportation authorities to create innovative solutions for modern urban challenges.

Threats

Despite the promising growth prospects, the automotive Lidar sensor market faces several threats that could hinder its progress. One of the primary challenges is the intense competition among sensor manufacturers, which may lead to price wars and reduced profit margins. As more companies enter the market, the saturation could make it difficult for existing players to maintain their competitive edge. Additionally, advancements in alternative sensing technologies, such as radar and camera-based systems, pose a significant risk to Lidar's market share. These alternatives can sometimes offer comparable performance at a lower cost, making them appealing to manufacturers looking to minimize expenses. The rapid pace of technological advancements also means that Lidar companies must continuously innovate to keep up with evolving industry standards and consumer expectations.

Moreover, regulatory uncertainties and varying safety standards across different regions can pose significant challenges for Lidar manufacturers. Compliance with diverse regulations may increase operational complexities and costs for companies looking to enter new markets. Additionally, the need for extensive testing and validation of Lidar systems to meet safety standards can slow down product development timelines. Furthermore, public perception and acceptance of autonomous vehicles, which rely heavily on Lidar technology, play a crucial role in shaping market dynamics. If consumers remain skeptical or concerned about the safety of self-driving technology, it could impede the widespread adoption of Lidar systems in automotive applications.

Competitor Outlook

• Velodyne Lidar
• Waymo
• Luminar Technologies
• Ouster
• Quanergy Systems
• Innoviz Technologies
• Valeo
• RoboSense
• Leica Geosystems
• Aeva
• Cegelec
• Furuno Electric
• Topcon Positioning Systems
• Princeton Infrared Technologies
• Sick AG

The competitive landscape of the automotive Lidar sensor market is characterized by a mix of established players and emerging startups, all striving to innovate and capture market share. Key companies like Velodyne Lidar and Waymo have established themselves as leaders in the industry, pushing the boundaries of Lidar technology to enhance safety and performance in autonomous vehicles. These firms are investing heavily in research and development to advance their product offerings and improve the accuracy and efficiency of their sensors. Additionally, partnerships between automotive manufacturers and Lidar companies are becoming increasingly common, enabling the integration of advanced sensing technologies into mass-market vehicles. The collaboration between technology and automotive companies is likely to spur further innovation and enhance the overall growth of the market.

New entrants like Luminar Technologies and Ouster are also making significant strides in the automotive Lidar space, focusing on cost-effective solutions without compromising performance. These companies are leveraging cutting-edge technologies to develop compact and efficient Lidar systems that appeal to a broad range of automotive applications. The emergence of such players is fueling competition and driving down prices, thus making Lidar technology more accessible to a larger audience. Furthermore, the industry's shift towards solid-state and optical phased array Lidar systems is contributing to the development of versatile and adaptable solutions that cater to the diverse needs of automotive manufacturers.

As the automotive Lidar sensor market continues to evolve, it is essential for companies to differentiate themselves through innovation and value-added services. Leading firms are focusing on enhancing the user experience by providing comprehensive support and integrating Lidar solutions with other advanced technologies, such as artificial intelligence and machine learning. This approach not only enhances the performance of Lidar systems but also creates a competitive advantage in meeting the growing demand for sophisticated automotive technologies. With the automotive industry's transformation towards automation and connectivity, the competitive landscape is likely to remain dynamic, characterized by ongoing technological advancements and strategic partnerships.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 Aeva
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 Valeo
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Waymo
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Ouster
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Cegelec
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 Sick AG
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 RoboSense
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Velodyne Lidar
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Furuno Electric
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Leica Geosystems
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Quanergy Systems
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Innoviz Technologies
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Luminar Technologies
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Topcon Positioning Systems
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Princeton Infrared Technologies
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Automotive Lidar Sensor Sales Market, By Technology
    • 6.1.1 Time-of-Flight LiDAR
    • 6.1.2 Frequency Modulated Continuous Wave LiDAR
    • 6.1.3 Coherent LiDAR
    • 6.1.4 Optical Phased Array LiDAR
  • 6.2 Automotive Lidar Sensor Sales Market, By Application
    • 6.2.1 Autonomous Vehicles
    • 6.2.2 Advanced Driver Assistance Systems
    • 6.2.3 Intelligent Transportation Systems
    • 6.2.4 Mapping and Navigation
    • 6.2.5 Others
  • 6.3 Automotive Lidar Sensor Sales Market, By Product Type
    • 6.3.1 Mechanical LiDAR Sensor
    • 6.3.2 Solid-State LiDAR Sensor
    • 6.3.3 Flash LiDAR Sensor
    • 6.3.4 Scanning LiDAR Sensor
    • 6.3.5 OPA LiDAR Sensor

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Automotive Lidar Sensor Sales Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Automotive Lidar Sensor Sales market is categorized based on

By Product Type

• Mechanical LiDAR Sensor
• Solid-State LiDAR Sensor
• Flash LiDAR Sensor
• Scanning LiDAR Sensor
• OPA LiDAR Sensor

By Application

• Autonomous Vehicles
• Advanced Driver Assistance Systems
• Intelligent Transportation Systems
• Mapping and Navigation
• Others

By Technology

• Time-of-Flight LiDAR
• Frequency Modulated Continuous Wave LiDAR
• Coherent LiDAR
• Optical Phased Array LiDAR

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• Velodyne Lidar
• Waymo
• Luminar Technologies
• Ouster
• Quanergy Systems
• Innoviz Technologies
• Valeo
• RoboSense
• Leica Geosystems
• Aeva
• Cegelec
• Furuno Electric
• Topcon Positioning Systems
• Princeton Infrared Technologies
• Sick AG