Autonomous Vehicle Lidar Sensors

Autonomous Vehicle LiDAR Sensors Market Outlook

The global Autonomous Vehicle LiDAR Sensors Market is projected to reach a size of approximately USD 8 billion by 2035, growing at a Compound Annual Growth Rate (CAGR) of around 24% from 2025 to 2035. The increasing demand for advanced driver-assistance systems (ADAS) is significantly driving the market growth as automakers aim to enhance vehicle safety and enable autonomous driving capabilities. Additionally, the rising investments in smart transportation infrastructure and the continuous advancements in LiDAR technology are further boosting the adoption of these sensors in various autonomous vehicle applications. With the growing need for precise mapping and environmental awareness in autonomous systems, LiDAR technology has emerged as a crucial element in powering these innovations. Furthermore, increasing collaborations between automotive manufacturers and technology companies to integrate LiDAR solutions into vehicles are expected to propel market expansion.

Growth Factor of the Market

One of the primary growth factors for the Autonomous Vehicle LiDAR Sensors Market is the escalating demand for enhanced safety features in vehicles. Governments around the world are implementing stringent regulations regarding vehicle safety, prompting manufacturers to incorporate advanced technologies like LiDAR to comply with these standards. Moreover, the progressive development of infrastructure for connected and autonomous vehicles is creating a conducive environment for the growth of LiDAR technology. The cost of LiDAR sensors has been decreasing, making the technology more accessible to a wider range of automotive manufacturers, including smaller players. Additionally, ongoing research and development initiatives are leading to the introduction of more efficient and compact LiDAR systems, which are further expected to boost market penetration. Lastly, the increasing number of commercial applications of autonomous vehicles, including logistics and public transport, is expected to provide significant growth opportunities for LiDAR sensor manufacturers.

Key Highlights of the Market

• The global market is expected to reach USD 8 billion by 2035, with a CAGR of 24% from 2025 to 2035.
• Mechanical LiDAR continues to dominate the market share due to its established technology and reliability.
• Autonomous cars account for the largest application segment, driven by growing consumer demand for self-driving technology.
• OEM distribution channels are leading the market, with manufacturers increasingly integrating LiDAR into vehicle production.
• North America is anticipated to hold the largest market share, owing to the presence of major automotive and technology companies in the region.

By Product Type

Mechanical LiDAR:

Mechanical LiDAR is one of the most widely used types in the market, characterized by its rotating laser emitters that can produce accurate 3D maps of the surrounding environment. This technology is favored for its high precision and extensive range, making it suitable for various applications in autonomous vehicles, particularly in mapping and navigation tasks. Mechanical LiDAR systems can capture a significant amount of data in real-time, allowing vehicles to make informed decisions based on their environment. However, concerns about durability and sensitivity to weather conditions have led manufacturers to explore alternative technologies, but mechanical LiDAR remains a stalwart due to its proven track record and reliability in comprehensive sensing tasks.

Solid-State LiDAR:

Solid-State LiDAR technology has gained momentum in the market owing to its compact design and immunity to moving parts, which enhances durability and reliability. This type of LiDAR is typically more cost-effective and easier to integrate into vehicles, making it appealing to manufacturers aiming to reduce overall production costs. Solid-State LiDAR is ideal for applications that require consistent performance in varying environmental conditions. Furthermore, as the automotive industry continues to prioritize lightweight designs and energy efficiency, solid-state solutions are expected to witness robust growth due to their suitability for mass production and deployment in vehicles.

Flash LiDAR:

Flash LiDAR employs a single pulse of light to capture a wide field of view, making it a valuable option for autonomous vehicles that require quick and comprehensive environmental scanning. This technology is particularly advantageous in high-speed applications as it allows for the rapid assessment of surroundings, facilitating timely decision-making by the vehicle’s control systems. The ability to capture multi-dimensional data with fewer moving parts enhances the reliability and reduces maintenance needs, making flash LiDAR an attractive choice for various autonomous applications. As manufacturers seek to enhance the capabilities of autonomous vehicles, flash LiDAR is likely to see increased adoption, especially in urban environments where rapid detection is crucial.

MEMS LiDAR:

Micro-Electro-Mechanical Systems (MEMS) LiDAR technology is revolutionizing the market by offering a miniaturized approach that combines precision with cost-effectiveness. MEMS LiDAR utilizes micro-mirrors to direct laser beams, enabling a compact design that can easily be integrated into various vehicle models. This type of LiDAR is particularly appealing for smaller autonomous vehicles and drones where space is limited. The lower cost and smaller footprint of MEMS LiDAR can open new avenues for the deployment of autonomous technologies in mass transit and logistics, making it a promising segment within the market. As manufacturers continue to innovate, MEMS LiDAR is expected to gain significant traction due to its versatility and adaptability to different vehicle designs.

OPA LiDAR:

Optical phased array (OPA) LiDAR is an emerging technology that is making strides in the Autonomous Vehicle LiDAR Sensors Market due to its ability to provide high-resolution imagery and detailed environmental data. OPA LiDAR systems utilize advanced optical techniques to control laser beams, allowing for precise measurement of distances and velocities over a distance. The technology's capability to achieve high-resolution scans with minimal moving parts enhances its durability and ease of integration into various vehicle types. As OPA LiDAR continues to develop, its potential for high-performance applications, including urban mapping and obstacle detection, positions it as a key player in the future of autonomous vehicle technology.

By Application

Autonomous Cars:

Autonomous cars represent the largest application segment in the Autonomous Vehicle LiDAR Sensors Market. With a growing consumer appetite for self-driving technologies, automakers are investing heavily in integrating sophisticated LiDAR systems to enhance vehicle safety and autonomous navigation capabilities. LiDAR sensors play a pivotal role in enabling vehicles to perceive their surroundings, detect obstacles, and make informed driving decisions in real-time. The demand for autonomous cars is further fueled by advancements in artificial intelligence and machine learning, which enhance the ability of LiDAR systems to interpret complex environments. As regulatory bodies begin to support the testing and deployment of autonomous vehicles, the adoption of LiDAR technology in this segment is expected to surge significantly in the coming years.

Autonomous Trucks:

The use of LiDAR technology in autonomous trucks is rapidly gaining momentum as logistics companies prioritize efficiency and safety in freight transport. LiDAR sensors are crucial for facilitating the autonomous operation of trucks, enabling them to navigate highways and urban environments with precision. The integration of LiDAR technology in autonomous trucks enhances their ability to detect and respond to various road conditions, improving overall safety and reducing the risk of accidents. Additionally, as the demand for autonomous delivery solutions grows, the market for LiDAR in this segment is expected to expand, driven by increasing investments in automation by logistics companies. Furthermore, the potential for cost savings and improved operational efficiency is likely to attract more companies to adopt LiDAR-enabled autonomous truck solutions.

Autonomous Drones:

LiDAR technology is increasingly being utilized in autonomous drones for applications such as aerial surveying, mapping, and environmental monitoring. Drones equipped with LiDAR sensors can collect high-resolution 3D data over vast areas, making them invaluable tools in sectors like agriculture, forestry, and construction. The ability to produce accurate topographic maps and analyze land use patterns enhances decision-making for various industries. As the drone industry continues to evolve, the integration of advanced LiDAR technology is expected to create new opportunities for autonomous flight, enabling drones to operate in complex environments with precision. Furthermore, the growing interest in drone delivery services is likely to further drive demand for LiDAR-equipped autonomous drones.

Autonomous Buses:

Autonomous buses are another key application segment where LiDAR technology is playing an integral role in enhancing public transportation systems. These vehicles leverage LiDAR sensors to navigate urban landscapes, interact with pedestrians, and optimize routes in real-time. By integrating LiDAR technology, autonomous buses can achieve a higher level of safety and efficiency, improving the overall passenger experience. The growing need for sustainable and efficient public transportation solutions is driving investments in autonomous bus technology, leading to increased demand for LiDAR sensors. As cities worldwide seek to modernize their public transport systems, the adoption of autonomous buses is expected to escalate, further expanding the market for LiDAR technology.

Autonomous Shuttles:

Autonomous shuttles, designed to facilitate short-distance transportation, are increasingly being equipped with LiDAR systems to enhance safety and navigation. These vehicles typically operate in controlled environments, such as campus settings or urban centers, where precision and reliability are paramount. LiDAR sensors enable autonomous shuttles to detect obstacles, navigate complex environments, and ensure passenger safety. The growing trend of smart cities and integrated mobility solutions is promoting the deployment of autonomous shuttles in urban areas, driving demand for LiDAR technology. As cities continue to invest in innovative transportation solutions, the market for autonomous shuttles is poised for substantial growth in the coming years.

By Distribution Channel

OEMs:

The Original Equipment Manufacturers (OEMs) segment is the leading distribution channel in the Autonomous Vehicle LiDAR Sensors Market. OEMs are increasingly integrating advanced LiDAR systems directly into vehicles during the production phase, ensuring that new models are equipped with the latest technology. This approach not only enhances the safety and functionality of the vehicles but also allows manufacturers to differentiate their products in a competitive market. As the automotive industry continues to evolve, OEMs are focusing on partnerships with LiDAR technology providers to ensure that their vehicles meet the growing consumer and regulatory expectations for autonomous driving capabilities. The shift towards electric and autonomous vehicles is further driving OEMs to adopt LiDAR solutions, solidifying their position as a dominant distribution channel.

Aftermarket:

The aftermarket segment for Autonomous Vehicle LiDAR Sensors is also gaining traction as more vehicle owners seek to enhance their existing vehicles with advanced technologies. This segment includes retrofitting vehicles with LiDAR systems to improve safety and enable autonomous functionalities. As consumer awareness of autonomous driving technologies grows, there is an increasing demand for aftermarket solutions that provide enhanced capabilities. Companies specializing in aftermarket integration are leveraging advancements in LiDAR technology to offer scalable and customizable solutions for a wide range of vehicle types. This trend is expected to contribute to the overall growth of the Autonomous Vehicle LiDAR Sensors Market, as vehicle owners recognize the benefits of upgrading their systems.

By Technology

2D LiDAR:

2D LiDAR technology is primarily employed for basic distance measurement and obstacle detection in autonomous vehicles. It utilizes a single plane of lasers to generate data, which is sufficient for many applications where high-resolution mapping is not a priority. This technology is often favored for its simplicity and cost-effectiveness, making it an attractive choice for entry-level autonomous systems. While 2D LiDAR may not provide the extensive data required for advanced navigation tasks, it offers a reliable solution for basic applications, thus maintaining a consistent presence in the market as a foundational technology for autonomous vehicles.

3D LiDAR:

3D LiDAR technology is pivotal in the Autonomous Vehicle LiDAR Sensors Market due to its ability to create detailed three-dimensional representations of environments. This technology utilizes multiple planes of laser beams to collect extensive spatial data, allowing for accurate mapping and object identification. 3D LiDAR systems are essential for advanced autonomous driving applications that require complex data interpretation and environment analysis. The growing demand for autonomous vehicles with superior navigation capabilities is driving the adoption of 3D LiDAR solutions. As the technology continues to evolve, its applications across various sectors are expected to expand, further enhancing the relevance of 3D LiDAR in the market.

4D LiDAR:

4D LiDAR technology is an emerging segment that adds a temporal dimension to the spatial data collected by traditional LiDAR systems. This advanced technology enables real-time tracking of moving objects in addition to standard 3D mapping capabilities. The enhanced accuracy and dynamic sensing capabilities of 4D LiDAR make it particularly suitable for complex environments where interactions between various elements occur frequently, such as urban settings with pedestrian and vehicular traffic. As autonomous vehicles are required to navigate such environments safely, the demand for 4D LiDAR is expected to grow significantly, providing manufacturers with opportunities to innovate and develop next-generation sensing solutions.

By Region

In the North American region, the Autonomous Vehicle LiDAR Sensors Market is poised to hold a significant share, driven by the presence of key automotive manufacturers and technology companies that are leading the development of autonomous technologies. The U.S. is at the forefront of autonomous vehicle testing and deployment, creating a conducive environment for the adoption of LiDAR sensors. In addition, strong support from government initiatives aimed at promoting research and development within the automotive sector is expected to further fuel market growth. The region is anticipated to experience a CAGR of about 25% during the forecast period, as the integration of advanced safety technologies remains a top priority for both consumers and manufacturers.

In Europe, the Autonomous Vehicle LiDAR Sensors Market is also witnessing substantial growth, driven by the increasing focus on sustainable transportation solutions and advancements in smart city initiatives. Countries such as Germany, France, and the United Kingdom are investing heavily in autonomous vehicle technology, fostering an ecosystem that encourages innovation in LiDAR systems. The European market is expected to grow steadily as regulatory frameworks become more favorable for autonomous vehicle testing and deployment. The adoption of electric vehicles and the push for enhanced public transport solutions are likely to create numerous opportunities for LiDAR technology in the region, with a projected CAGR of approximately 22% over the forecast period.

Opportunities

The Autonomous Vehicle LiDAR Sensors Market presents numerous opportunities for growth, particularly in the development of new applications across various sectors. As industries continue to explore the use of autonomous technologies, LiDAR sensors are expected to play a vital role in enhancing not only automotive applications but also fields such as agriculture, mining, and urban planning. In agriculture, for instance, LiDAR can be employed for precision farming, allowing farmers to monitor crop health and optimize resource allocation efficiently. Similarly, in construction and urban planning, LiDAR can facilitate 3D modeling and terrain mapping, providing invaluable data for decision-making processes. The diversification of applications for LiDAR technology is poised to create new revenue streams for manufacturers, encouraging further innovation and development within the sector.

Another significant opportunity lies in the ongoing advancements in technology aimed at reducing the cost and size of LiDAR systems. As manufacturers continue to refine their products, the introduction of more compact and cost-effective solutions is expected to enable broader adoption of LiDAR technology in a variety of applications. For instance, as MEMS and solid-state LiDAR technologies advance, they can cater to not only high-end autonomous vehicles but also smaller, budget-friendly options, expanding the market reach to a larger audience. Additionally, the increase in investment in smart cities and infrastructure development will further support the integration of LiDAR technology, boosting the overall market growth and providing manufacturers with ample opportunities to establish their presence in emerging markets.

Threats

Despite the promising growth trajectory of the Autonomous Vehicle LiDAR Sensors Market, several threats could hinder its expansion. One of the most significant challenges is the intense competition among manufacturers, which can lead to pricing wars and reduced profit margins. As the market becomes saturated with various LiDAR providers, maintaining a competitive edge becomes increasingly difficult, and companies may struggle to differentiate their products. Moreover, rapid technological advancements could render certain LiDAR systems obsolete, compelling manufacturers to continuously innovate and invest in research and development. This pressure to stay ahead of technological trends may also lead to increased operational costs for companies, particularly smaller players who may lack the resources to compete effectively. Additionally, cybersecurity threats pose a risk to the integration of autonomous vehicle technologies, as LiDAR systems become increasingly interconnected with other technologies.

Another restraining factor for the Autonomous Vehicle LiDAR Sensors Market is the regulatory environment surrounding autonomous vehicle deployment. Although governments are increasingly supportive of autonomous technologies, regulatory hurdles still exist, with many regions lacking clear guidelines for the testing and implementation of autonomous vehicles. This uncertainty can inhibit investments and slow down the adoption of LiDAR technology, as manufacturers may be hesitant to invest heavily in developing solutions without a clear understanding of the regulatory landscape. Furthermore, public perception of autonomous vehicles remains a concern, as safety and reliability are paramount in gaining consumer trust. Manufacturers will need to engage in extensive consumer education and transparent communication to address fears and misconceptions surrounding autonomous driving technologies.

Competitor Outlook

• Velodyne Lidar, Inc.
• Waymo LLC
• Luminar Technologies, Inc.
• Innoviz Technologies Ltd.
• Ouster, Inc.
• AEye, Inc.
• Quanergy Systems, Inc.
• Leica Geosystems AG
• RoboSense
• NavVis
• Cegelec
• IBEO Automotive Technology GmbH
• Teledyne Optech
• Furuno Electric Co., Ltd.
• Sick AG

The competitive landscape of the Autonomous Vehicle LiDAR Sensors Market is characterized by the presence of several key players striving to innovate and enhance their offerings. Major companies are engaged in extensive research and development activities to launch advanced LiDAR systems that cater to the growing demands of the autonomous vehicle sector. These companies invest significantly in technology enhancements to develop solutions that offer improved accuracy, range, and durability. Moreover, strategic partnerships and collaborations between automotive manufacturers and technology firms are becoming increasingly common as companies seek to leverage each other’s strengths in bringing innovative solutions to market.

Velodyne Lidar, Inc. stands out as a pioneer in the LiDAR industry, known for its high-performance sensor systems utilized in various autonomous applications. The company has established itself as a leader by continuously refining its technology and expanding its product portfolio to meet evolving industry needs. Waymo LLC, a subsidiary of Alphabet Inc., is at the forefront of autonomous vehicle development and has made significant advancements in integrating LiDAR systems into its self-driving technology. Through years of rigorous testing and innovation, Waymo has garnered substantial expertise in LiDAR application, positioning itself as a formidable competitor in the market.

Luminar Technologies, Inc. has emerged as a prominent player in the market, specializing in solid-state LiDAR solutions designed for automotive applications. The company has focused on developing sensors that are both affordable and efficient, enabling wider adoption among automotive manufacturers. Another notable company, Innoviz Technologies Ltd., offers advanced LiDAR systems that emphasize performance and affordability, catering to the growing demand for autonomous vehicle applications. These companies, along with others in the industry, are continuously driving advancements in LiDAR technology, ensuring their competitive positioning in the ever-evolving landscape of autonomous vehicle systems.

• 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 NavVis
    • 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 Cegelec
    • 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 Sick AG
    • 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 RoboSense
    • 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 Waymo LLC
    • 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 AEye, Inc.
    • 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 Ouster, Inc.
    • 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 Teledyne Optech
    • 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 Leica Geosystems AG
    • 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 Velodyne Lidar, Inc.
    • 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, Inc.
    • 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 Furuno Electric Co., Ltd.
    • 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 Innoviz Technologies Ltd.
    • 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 Luminar Technologies, Inc.
    • 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 IBEO Automotive Technology GmbH
    • 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 Autonomous Vehicle Lidar Sensors Market, By Technology
    • 6.1.1 2D LiDAR
    • 6.1.2 3D LiDAR
    • 6.1.3 4D LiDAR
  • 6.2 Autonomous Vehicle Lidar Sensors Market, By Application
    • 6.2.1 Autonomous Cars
    • 6.2.2 Autonomous Trucks
    • 6.2.3 Autonomous Drones
    • 6.2.4 Autonomous Buses
    • 6.2.5 Autonomous Shuttles
  • 6.3 Autonomous Vehicle Lidar Sensors Market, By Product Type
    • 6.3.1 Mechanical LiDAR
    • 6.3.2 Solid-State LiDAR
    • 6.3.3 Flash LiDAR
    • 6.3.4 MEMS LiDAR
    • 6.3.5 OPA LiDAR

• 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 Autonomous Vehicle Lidar Sensors 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 Autonomous Vehicle Lidar Sensors market is categorized based on

By Product Type

• Mechanical LiDAR
• Solid-State LiDAR
• Flash LiDAR
• MEMS LiDAR
• OPA LiDAR

By Application

• Autonomous Cars
• Autonomous Trucks
• Autonomous Drones
• Autonomous Buses
• Autonomous Shuttles

By Technology

• 2D LiDAR
• 3D LiDAR
• 4D LiDAR

By Region

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

Key Players

• Velodyne Lidar, Inc.
• Waymo LLC
• Luminar Technologies, Inc.
• Innoviz Technologies Ltd.
• Ouster, Inc.
• AEye, Inc.
• Quanergy Systems, Inc.
• Leica Geosystems AG
• RoboSense
• NavVis
• Cegelec
• IBEO Automotive Technology GmbH
• Teledyne Optech
• Furuno Electric Co., Ltd.
• Sick AG