sales@intentmarketresearch.com
+1 463-583-2713
As per Intent Market Research, the Automotive LiDAR Market was valued at USD 1.2 billion in 2023 and will surpass USD 8.5 billion by 2030; growing at a CAGR of 32.1% during 2024 - 2030.
The automotive LiDAR market is witnessing robust growth, driven by the increasing demand for advanced sensing technologies in autonomous driving and safety systems. Light Detection and Ranging (LiDAR) systems enable vehicles to perceive their environment with high precision, making them a critical component of autonomous vehicles and Advanced Driver-Assistance Systems (ADAS). Rising investments in autonomous vehicle technology, coupled with advancements in LiDAR technology, are propelling market expansion across various regions and applications.
The solid-state LiDAR segment is the fastest growing in the market, fueled by its compact design, cost-effectiveness, and durability compared to traditional mechanical LiDAR systems. Solid-state LiDAR uses fewer moving parts, which enhances its reliability and makes it suitable for mass-market applications in passenger and commercial vehicles.
As automakers strive to integrate LiDAR into mainstream models, the affordability and scalability of solid-state systems make them a preferred choice. The segment's growth is further supported by innovations that improve resolution and range, enabling seamless integration into ADAS and autonomous vehicles. Companies like Velodyne and Innoviz Technologies are pioneering advancements in solid-state LiDAR, driving its rapid adoption.
The Time of Flight (ToF) technology segment holds the largest share in the automotive LiDAR market due to its versatility and proven performance in real-world applications. ToF systems accurately measure distances by calculating the time taken for light pulses to return, making them ideal for detecting objects and mapping environments in various lighting conditions.
ToF technology’s widespread adoption in both ADAS and autonomous vehicles is attributed to its reliability and ability to provide high-resolution data. The technology's cost-effectiveness and scalability further strengthen its position as the dominant choice among automakers and LiDAR manufacturers. Continuous innovation in ToF sensors is expected to sustain its market leadership in the coming years.
Long-range LiDAR is the fastest growing range segment, driven by its critical role in enabling autonomous vehicles to detect obstacles and navigate complex environments at high speeds. Long-range systems provide detailed environmental mapping over extended distances, ensuring safety and efficiency in highway and urban settings.
The increasing adoption of Level 4 and Level 5 autonomous vehicles, which require advanced perception systems, is a key driver for this segment's growth. Innovations in long-range LiDAR technology are also enhancing resolution and accuracy, making it indispensable for advanced autonomous functionalities. This trend is expected to accelerate as the autonomous vehicle industry matures.
The passenger vehicles segment is the largest in the automotive LiDAR market, fueled by the growing integration of ADAS features such as adaptive cruise control, collision avoidance, and lane-keeping assistance. Automakers are increasingly equipping mid-range and premium passenger vehicles with LiDAR technology to enhance safety and meet regulatory requirements.
Consumer demand for advanced safety features, combined with the push for semi-autonomous driving capabilities, has positioned passenger vehicles as a key driver of LiDAR adoption. The segment is further bolstered by government incentives and regulations promoting the adoption of advanced vehicle safety systems.
The ADAS segment accounts for the largest share in the automotive LiDAR market, driven by stringent safety regulations and the rising demand for driver-assistance features. LiDAR systems enable ADAS functionalities such as pedestrian detection, automatic emergency braking, and traffic sign recognition, which are increasingly becoming standard in new vehicles.
The growing emphasis on road safety and the reduction of traffic accidents is driving automakers to invest heavily in ADAS technologies. LiDAR’s ability to provide precise environmental data enhances the performance of these systems, making it a cornerstone of the ADAS segment’s growth.
North America dominates the automotive LiDAR market, supported by a well-established autonomous vehicle ecosystem and significant investments in research and development. The region is home to key industry players and tech startups pioneering LiDAR innovation, as well as automakers integrating these systems into their vehicle lineups.
Favorable government policies, such as testing regulations for autonomous vehicles and initiatives to enhance road safety, further support market growth in North America. High consumer adoption of advanced automotive technologies ensures sustained demand for LiDAR systems in this region.
The automotive LiDAR market is highly competitive, with key players such as Velodyne, Luminar Technologies, Innoviz Technologies, and Quanergy Systems leading the space. These companies focus on innovation and strategic partnerships with automakers to integrate LiDAR systems into both autonomous and semi-autonomous vehicles.
The competitive landscape is also marked by new entrants offering cost-effective solutions and advancements in solid-state LiDAR technology. As demand for LiDAR continues to grow, manufacturers are focusing on enhancing performance, reducing costs, and expanding production capacity to capture market opportunities. The ongoing development of autonomous driving technology ensures that competition and innovation in this market will remain dynamic.
Report Features |
Description |
Market Size (2023) |
USD 1.2 Billion |
Forecasted Value (2030) |
USD 8.5 Billion |
CAGR (2024 – 2030) |
32.1% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Automotive LiDAR Market by Type (Mechanical LiDAR, Solid-State LiDAR), Technology (Time of Flight [ToF], Frequency Modulated Continuous Wave [FMCW]), Range (Short-Range, Medium-Range, Long-Range), Vehicle Type (Passenger Vehicles, Commercial Vehicles), Application (Autonomous Vehicles, Advanced Driver-Assistance Systems [ADAS]) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Major Companies |
Aeva Technologies, Inc., Continental AG, First Sensor AG, Hesai Technology Co., Ltd., Innoviz Technologies Ltd., LeddarTech Inc., Ouster, Inc., Quanergy Systems, Inc., Quanergy Systems, Inc., Robert Bosch GmbH, RoboSense (Suteng Innovation Technology Co., Ltd.), Valeo SA, ZF Friedrichshafen AG |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Automotive LiDAR Market, by Type (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Mechanical LiDAR |
4.2. Solid-State LiDAR |
5. Automotive LiDAR Market, by Technology (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Time of Flight (ToF) |
5.2. Frequency Modulated Continuous Wave (FMCW) |
6. Automotive LiDAR Market, by Range (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Short-Range |
6.2. Medium-Range |
6.3. Long-Range |
7. Automotive LiDAR Market, by Vehicle Type (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Passenger Vehicles |
7.2. Commercial Vehicles |
8. Automotive LiDAR Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. Autonomous Vehicles |
8.2. Advanced Driver-Assistance Systems (ADAS) |
9. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
9.1. Regional Overview |
9.2. North America |
9.2.1. Regional Trends & Growth Drivers |
9.2.2. Barriers & Challenges |
9.2.3. Opportunities |
9.2.4. Factor Impact Analysis |
9.2.5. Technology Trends |
9.2.6. North America Automotive LiDAR Market, by Type |
9.2.7. North America Automotive LiDAR Market, by Technology |
9.2.8. North America Automotive LiDAR Market, by Range |
9.2.9. North America Automotive LiDAR Market, by Vehicle Type |
9.2.10. North America Automotive LiDAR Market, by Application |
9.2.11. By Country |
9.2.11.1. US |
9.2.11.1.1. US Automotive LiDAR Market, by Type |
9.2.11.1.2. US Automotive LiDAR Market, by Technology |
9.2.11.1.3. US Automotive LiDAR Market, by Range |
9.2.11.1.4. US Automotive LiDAR Market, by Vehicle Type |
9.2.11.1.5. US Automotive LiDAR Market, by Application |
9.2.11.2. Canada |
9.2.11.3. Mexico |
*Similar segmentation will be provided for each region and country |
9.3. Europe |
9.4. Asia-Pacific |
9.5. Latin America |
9.6. Middle East & Africa |
10. Competitive Landscape |
10.1. Overview of the Key Players |
10.2. Competitive Ecosystem |
10.2.1. Level of Fragmentation |
10.2.2. Market Consolidation |
10.2.3. Product Innovation |
10.3. Company Share Analysis |
10.4. Company Benchmarking Matrix |
10.4.1. Strategic Overview |
10.4.2. Product Innovations |
10.5. Start-up Ecosystem |
10.6. Strategic Competitive Insights/ Customer Imperatives |
10.7. ESG Matrix/ Sustainability Matrix |
10.8. Manufacturing Network |
10.8.1. Locations |
10.8.2. Supply Chain and Logistics |
10.8.3. Product Flexibility/Customization |
10.8.4. Digital Transformation and Connectivity |
10.8.5. Environmental and Regulatory Compliance |
10.9. Technology Readiness Level Matrix |
10.10. Technology Maturity Curve |
10.11. Buying Criteria |
11. Company Profiles |
11.1. Aeva Technologies, Inc. |
11.1.1. Company Overview |
11.1.2. Company Financials |
11.1.3. Product/Service Portfolio |
11.1.4. Recent Developments |
11.1.5. IMR Analysis |
*Similar information will be provided for other companies |
11.2. Continental AG |
11.3. First Sensor AG |
11.4. Hesai Technology Co., Ltd. |
11.5. Innoviz Technologies Ltd. |
11.6. LeddarTech Inc. |
11.7. Luminar Technologies, Inc. |
11.8. Ouster, Inc. |
11.9. Quanergy Systems, Inc. |
11.10. Quanergy Systems, Inc. |
11.11. Robert Bosch GmbH |
11.12. RoboSense (Suteng Innovation Technology Co., Ltd.) |
11.13. Valeo SA |
11.14. Velodyne Lidar, Inc. |
11.15. ZF Friedrichshafen AG |
12. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Automotive LiDAR Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Automotive LiDAR Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Automotive LiDAR Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.