Automotive LiDAR Market Size, Share & Analysis
Automotive LiDAR Market by Technology (Mechanical LiDAR and Solid-state LiDAR), Image Type, ICE Vehicle Type (PC, LCV, HCV), Location, Electric Vehicle, Range, Laser Wavelength, Measurement Process, Level of Autonomy, and Region - Global Forecast to 2030
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The automotive LiDAR market is projected to reach USD 9.59 billion by 2030 from USD 1.19 billion in 2024, at a CAGR of 41.6% from 2024 to 2030. Growth in the automotive LiDAR market is driven by rising demand for advanced driver assistance systems (ADAS) and autonomous vehicles. Modern sensor technologies enhance vehicle safety, autonomy, and navigation capabilities in these systems, enabling precise mapping, obstacle detection, and real-time path planning for self-driving operations.
KEY TAKEAWAYS
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By ice vehicle typeBy ICE vehicle type, the passenger car segment is anticipated to account for the largest market share during the forecast period, driven by several key factors, such as the growing trend of autonomous mobility in passenger cars essential for advanced driver assistance systems that enhance vehicle safety and performance.
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By Electric vehicle typeBy electric vehicle type, battery electric vehicle segment is projected to dominate the automotive LiDAR market over the forecast period due to the accelerating global shift toward electrification and the demand for advanced autonomous features in EVs.
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by Image typeBy image type, the 3D segment is projected to account for a significant share during the forecast period, driven by the rising demand for advanced perception capabilities in autonomous and semi-autonomous vehicles.
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by laser wavelengthBy laser wavelength, the near-infrared segment is projected to account for the largest market share over the forecast period. The key reason for rapid growth od near-infrared segment is their demonstration of superior performance in challenging environmental conditions, including fog and rain, compared to those operating at 1550 nm.
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By level of autonomyBy level of autonomy, the semi-autonomous segment is projected to account for the largest share during the forecast period, driven by the growing adoption of Level 2 (L2) and Level 3 (L3) autonomous features in mainstream vehicles.
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By LocationBy installation location, the bumper & grill segment is poised to secure a significant position in the automotive LiDAR market due to its practicality for seamless integration and optimal front-facing perception.
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by Measurement processBy measurement process, frequency-modulated continuous wave (FMCW) segment is projected to grow significantly over the forecast period. Its unique capability to directly measure the speed of an object using the Doppler effect eliminates the need for multiple measurements to calculate velocity, as is required in Time of Flight (ToF) systems.
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By TechnologyBy technology, the solid-state LiDAR segment is projected to lead during the forecast period, driven by its compact design, cost efficiency, and durability compared to traditional mechanical LiDAR. Unlike mechanical systems, solid-state LiDAR has fewer moving parts, which makes it more resilient to wear and tear, vibrations, and environmental challenges.
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by rangeBy range, the long-range segment is projected to account for a significant share over the forecast period. Its ability to enhance the perception of autonomous driving and advanced safety features drives the segment's growth.
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by regionBy region, Asia Pacific is poised to dominate the automotive LiDAR market during the forecast period. The region’s growth is driven by its progressive government policies, rapid technological innovations, and the strong presence of leading automakers and LiDAR providers.
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COMPETITIVE LANDSCAPEMajor market players have adopted both organic and inorganic strategies, including partnerships and investments. For instance, RoboSense Technology Co., Ltd. (China), Hesai Group (China), Luminar Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), and Seyond (US) have entered into a number of agreements and partnerships to cater to the growing demand for aerospace materials across innovative applications.
The automotive LiDAR market is witnessing steady growth, driven by rising demand for advanced sensor technologies such as solid-state LiDAR and multi-sensor fusion systems to enhance vehicle safety, enable autonomous driving capabilities, and comply with stringent regulatory standards worldwide. New developments, including strategic partnerships between OEMs and LiDAR suppliers like BMW with Innoviz and Mercedes-Benz with Valeo, investments in cost-effective production for mass-market adoption, and innovations in high-resolution 4D LiDAR for improved environmental perception, are reshaping the industry landscape.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The impact on consumers’ businesses emerges from customer trends or disruptions, such as the accelerating adoption of advanced driver-assistance systems (ADAS) and autonomous vehicles that demand precise environmental sensing for enhanced safety and navigation. Automotive OEMs are clients of LiDAR manufacturers, which are changing trends or disruptions, will impact revenues of end users automotive LiDAR manufacturers, and target applications are of automotive LiDAR shifts manufacturers, and target applications clients of automotive LiDAR. The revenue impact on end users will affect the revenue of OEMs, which will further affect the revenues of automotive LiDAR manufacturers.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
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Rising technological advancements in LiDAR technology

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Focus of OEMs on testing and deploying vehicles with high level of autonomy
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High cost of LiDAR
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Emergence of alternative technologies
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Rise of robotaxi and ride-hailing services
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Automation of commercial vehicles
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Fluctuating prices of raw materials and supply chain disruptions
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Poor performance in challenging weather conditions
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Rising technological advancements in LiDAR technology
The automotive industry is under constant pressure to enhance safety, achieve higher levels of vehicle autonomy, and comply with evolving regulatory mandates for advanced driver-assistance systems (ADAS). Rising technological advancements in LiDAR technology, such as solid-state designs, frequency-modulated continuous wave (FMCW) systems, and AI-enhanced signal processing, enable precise 3D mapping and object detection over extended ranges, leading to superior perception capabilities and reduced operational risks. OEMs and Tier-1 suppliers are increasingly prioritizing these advancements in passenger and commercial vehicles to deploy reliable Level 3+ autonomous features and meet global safety standards.
Restraint: High cost of LiDAR
The high cost of automotive LiDAR remains a critical barrier to widespread adoption, especially for mainstream vehicles. LiDAR sensors currently cost anywhere between $500 and $75,000 per unit, depending on performance and production volume. Although prices have dropped significantly over the past decade, most LiDARs suitable for automotive use still have price points much higher than radar or camera alternatives, largely due to expensive semiconductor lasers, specialized optics, and the precision required in alignment and assembly. As a result, automakers face challenges in adding LiDAR to mid-range and budget vehicles, limiting advanced autonomy features to premium models and slowing broader industry uptake, particularly in price-sensitive markets.
Opportunity: Rise of robotaxi and ride-hailing services
Global ride-hailing and robotaxi services continue to surge, especially in emerging economies such as China, India, and Southeast Asia, prompting record deployments from companies like Baidu Apollo Go, Waymo, and Uber partnerships with Pony.ai and WeRide. This expansion fuels demand for advanced LiDAR technologies that can support next-generation autonomous vehicle designs, enhancing 3D perception, real-time navigation, and safety in urban fleets. LiDAR applications in ride-hailing and robotaxi operations open new avenues for widespread adoption of sensor fusion systems and scalable autonomous mobility solutions.
Challenge: Fluctuating prices of raw materials and supply chain disruptions
Automotive LiDAR production faces significant challenges from volatile raw material prices and supply chain disruptions, as systems depend on critical components like semiconductors (silicon, gallium arsenide), high-power lasers, optical sensors, and rare earth elements (e.g., indium phosphide), whose costs fluctuate due to mining constraints, geopolitical tensions, and trade restrictions like U.S.-China tariffs. These issues, exacerbated by semiconductor shortages and extended lead times (up to six months for optics and chips), constrain material availability and escalate expenses, particularly in geopolitically tense regions where logistics delays impact production timelines for OEMs and suppliers. Managing this vulnerability is crucial for OEMs and suppliers to ensure stable supplies, but ongoing global events continue to hinder reliable sourcing and timely integration into vehicles.
Automotive LiDAR Market: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
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Supplying long-range LiDAR sensors for Volvo and Mercedes-Benz vehicles to enable highway autonomy and proactive safety systems. | Detects objects up to 250 m, improves reaction time, enhances highway safety, and supports Level 3 automation. |
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Providing solid-state LiDAR sensors and perception software for BMW’s autonomous driving platform. | Compact design lowers system cost, supports mass-market integration, and improves reliability under vibration. |
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Developing automotive-grade LiDAR for ADAS functions such as automatic braking, lane keeping, and traffic-jam assist. | Enables 360° environment perception, improves pedestrian detection accuracy, and reduces accident risk. |
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Integrating LiDAR into sensor-fusion architectures combining radar, cameras, and AI algorithms. | Improves detection confidence, enhances decision-making for autonomous driving, and increases operational safety. |
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Using proprietary LiDAR systems in autonomous robotaxi fleets and delivery vehicles. | Provides high-resolution 3D mapping, ensures redundancy for full autonomy, and optimizes fleet efficiency. |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
The automotive LiDAR market ecosystem is a dynamic network of sectors working together to advance autonomous driving. It includes component manufacturers, such as Hamamatsu Photonics (Japan), which supplies key photodetectors, and Osram Opto Semiconductors (Germany), which provides lasers and optics essential for LiDAR systems. It also includes LiDAR system providers, such as Velodyne Lidar (US) and RoboSense (China), which design and manufacture complete LiDAR solutions, integrating sensors and scanning technology for accurate 3D mapping. The ecosystem further includes NVIDIA (US), a software provider offering AI-powered data processing platforms, and Waymo (US), which develops perception algorithms for real-time vehicle decision-making to enhance the utility of LiDAR data for autonomous systems. OEMs, such as Mercedes-Benz (Germany) and Baidu Co., Ltd. (China), are also covered in the market ecosystem.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
By ice vehicle type
The passenger car segment is anticipated to account for the largest market share during the forecast period, driven by several key factors, such as the growing trend of autonomous mobility in passenger cars essential for advanced driver assistance systems that enhance vehicle safety and performance. Additionally, features such as automatic emergency braking, adaptive cruise control, and emergency lane-keeping systems are increasingly becoming standard, pushing manufacturers to integrate LiDAR into their vehicles.
By Electric vehicle type
The battery electric vehicle segment is projected to dominate the automotive LiDAR market over the forecast period due to the accelerating global shift toward electrification and the demand for advanced autonomous features in EVs. China’s EV revolution plays a pivotal role, with leading models like Zeekr 009, Rising Auto F7, and IM Motors’ LS6 and LS7 integrating LiDAR technologies from RoboSense (China) and Hesai Group (China).
by Image type
The 3D segment is projected to account for a significant share during the forecast period, driven by the rising demand for advanced perception capabilities in autonomous and semi-autonomous vehicles. 2D LiDAR is gradually being eliminated from the market as it provides only a flat, two-dimensional view due to its limited number of channels, which restricts its ability to capture detailed spatial information. In contrast, 3D LiDAR, with its capability to generate rich three-dimensional point clouds, enables advanced algorithms, such as 3D object detection and segmentation, which makes it far superior for applications in autonomous driving.
by laser wavelength
The near-infrared segment is projected to account for the largest market share over the forecast period, driven by several key factors. Near-infrared wavelength LiDAR operates at 905 nm wavelength. These LiDAR systems demonstrate superior performance in challenging environmental conditions, including fog and rain, compared to those operating at 1550 nm. This advantage is crucial for automotive applications, as LiDAR systems must maintain accurate detection capabilities in adverse weather. For instance, the M3 LiDAR from RoboSense (China) and the Robin W LiDAR from Seyond (US), functioning at 905 nm, provide reliable distance measurements and effective object detection even in less-than-ideal visibility conditions. Near-infrared LiDAR can penetrate fog more effectively, resulting in less signal attenuation than 1550 nm systems, which are more susceptible to scattering by fog droplets.
By level of autonomy
The semi-autonomous segment is projected to account for the largest share during the forecast period, driven by the growing adoption of Level 2 (L2) and Level 3 (L3) autonomous features in mainstream vehicles. Several models, such as the IM L6 and Zeekr 7X, are already equipped with LiDAR from RoboSense (China) to enable L2 capabilities, providing advanced driver assistance systems for enhanced safety and convenience.
By Location
The bumper & grill segment is poised to secure a significant position in the automotive LiDAR market due to its practicality for seamless integration and optimal front-facing perception. Installing LiDAR in the bumper or grill lets manufacturers maintain vehicle aesthetics and aerodynamics while embedding advanced sensing capabilities. For instance, luxury models like the Mercedes-Benz S-Class have successfully incorporated LiDAR into the grill, emphasizing its effectiveness for advanced driver-assistance systems. Additionally, at CES in January 2024, Innoviz Technologies Ltd. (Israel) showcased the BMW i7 equipped with InnovizOne LiDAR seamlessly integrated into its grill, highlighting the growing trend of front-end LiDAR installations. As the demand for autonomous functionalities accelerates, the bumper & grill location is expected to remain a preferred choice for LiDAR integration, with ongoing innovations ensuring its relevance across vehicle segments.
by Measurement process
The frequency-modulated continuous wave (FMCW) segment is projected to grow significantly over the forecast period. Its unique capability to directly measure the speed of an object using the Doppler effect eliminates the need for multiple measurements to calculate velocity, as is required in Time of Flight (ToF) systems. This efficiency simplifies the measurement process and enhances accuracy, making FMCW LiDAR particularly appealing for driver assistance systems and autonomous vehicles. Various OEMs and LiDAR companies actively invest in FMCW technology developments, recognizing its potential impact on market growth.
By Technology
The solid-state LiDAR segment is projected to lead during the forecast period, driven by its compact design, cost efficiency, and durability compared to traditional mechanical LiDAR. Unlike mechanical systems, solid-state LiDAR has fewer moving parts, which makes it more resilient to wear and tear, vibrations, and environmental challenges. Mercedes-Benz EQS, XPeng P5, and NIO ET7 are vehicles equipped with solid-state LiDAR.
by range
The long-range segment is projected to account for a significant share over the forecast period. Its ability to enhance the perception of autonomous driving and advanced safety features drives the segment's growth. Unlike short-range LiDAR, which overlaps with capabilities provided by existing sensors such as cameras and ultrasonic systems, long-range LiDAR is uniquely suited for high-speed scenarios, detecting objects, vehicles, and pedestrians at greater distances to ensure advanced decision-making for Level 3 and above autonomy.
by region
Asia Pacific is poised to dominate the automotive LiDAR market during the forecast period. The region’s growth is driven by its progressive government policies, rapid technological innovations, and the strong presence of leading automakers and LiDAR providers. Various developments and initiatives to promote the use of autonomous vehicles are also driving the popularity of LiDAR in the region. For example, Seoul’s “Autonomous Driving Vision 2030” aims to establish city-wide autonomous driving infrastructure, including real-time traffic signal data for multi-lane roads, a precise road map for autonomous driving, and an open platform to update real-time by 2026 in South Korea. Similarly, Japan plans to deploy Level 4 vehicles across 100 municipalities by 2027, reflecting its commitment to autonomous mobility. China is not behind in promoting the use of advanced LiDAR in autonomous vehicles. In August 2024, the country offered more than 16,000 test licenses for driverless cars to promote autonomous testing. Also, prominent Chinese models like the BYD Han EV, BYD Han DM-i, and Chery Exeed STERRA ES are expected to be equipped with LiDAR systems offered by RoboSense Technology Co., Ltd. (China), signifying growing LiDAR adoption in mass-market vehicles.
REGION
EUROPE to be fastest-growing region in global automotive LIDAR market during forecast period
The European automotive LiDAR market is expected to register the highest CAGR during the forecast period, driven by strong demand for upcoming autonomous vehicles and advanced driver-assistance systems (ADAS), leading OEMs and suppliers in Germany, France, and the UK to adopt solid-state LiDAR technologies for enhanced perception and navigation while reducing accident rates. Rising investments in urban mobility solutions and electric vehicle electrification are further accelerating the adoption of automotive LiDAR in the region.The push for regulation-driven safety and technological adoption across the region is accelerating LiDAR integration among leading OEMs, linking policy impact directly to market growth in countries like Germany and France.

Automotive LiDAR Market: COMPANY EVALUATION MATRIX
In the automotive LiDAR market matrix, RoboSense (Star) leads with a strong market share and extensive product portfolio, driven by solid-state and digital LiDAR solutions widely adopted in passenger vehicles, ADAS, and robotaxi applications. RoboSense dominates through scale and diverse positioning, with partnerships across over 30 global OEMs like BYD and Geely. Innoviz Technologies (Emerging Leader) is gaining visibility with its specialized solid-state LiDAR tailored for high-performance autonomous driving and perception software in automotive and industrial solutions. Innoviz shows niche product potential to move toward the leader's quadrant as demand for advanced sensor fusion continues to rise.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2024 (Value) | USD 1.19 Billion |
| Market Forecast in 2030 (Value) | USD 9.59 Billion |
| Growth Rate | CAGR of 41.6% from 2024-2030 |
| Years Considered | 2019-2030 |
| Base Year | 2023 |
| Forecast Period | 2024-2030 |
| Units Considered | Volume (Thousand Units) and Value (USD Billion) |
| Report Coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments Covered |
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| Regions Covered | Asia Pacific, Europe, and North America |
WHAT IS IN IT FOR YOU: Automotive LiDAR Market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
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| Automotive OEM |
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| LiDAR Sensor Manufacturer |
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| Tier-1 System Integrator |
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| Mapping & Autonomous Fleet Operator |
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RECENT DEVELOPMENTS
- October 2024 : RoboSense Technology Co., Ltd. (China) announced a strategic partnership with GAC International Co., Ltd. (China) including various new design wins for GAC AION vehicle models.
- October 2024 : Hesai Group (China) and SAIC Volkswagen (China) have signed a new partnership to collaborate on an automotive LiDAR program. This agreement will integrate Hesai Group's LiDAR technology into SAIC Volkswagen's vehicle models, enhancing their autonomous driving capabilities.
- October 2024 : Hesai Group announced it will be an exclusive provider of long-range LiDAR for Leapmotor’s next-generation vehicle platform. This partnership would enhance Leapmotor’s intelligent driving capabilities. The first model is expected to enter mass production in 2025.
- September 2024 : Hesai Group (China) launched OT128 LiDAR designed to improve functionality of autonomous vehicles. It features a detection range of up to 200 meters and a significantly simplified architecture that reduces production time by over 95%.
- July 2024 : Luminar Technologies launched the Sentinel software suite to accelerate the development of advanced safety and autonomous functionalities for automakers. This full-stack solution includes features like Proactive Safety, Perception, 3D Mapping and Localization, Simulation, and Dynamic LiDAR capabilities.
Table of Contents
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Methodology
The research uses extensive secondary sources, such as company annual reports/presentations, industry association publications, magazine articles, directories, technical handbooks, World Economic Outlook, trade websites, technical articles, and databases, to identify and collect information on the automotive LiDAR market. Primary sources, such as experts from related industries, OEMs, and suppliers, have been interviewed to obtain and verify critical information and assess the growth prospects and market estimations.
Secondary Research
Secondary sources for this research study include corporate filings, such as annual reports, investor presentations, and financial statements; trade, business, and professional associations; whitepapers and autonomous vehicles and ADAS-related journals; certified publications; articles by recognized authors; directories; and databases. Secondary data has been collected and analyzed to determine the overall market size, further validated by primary research.
Primary Research
After understanding the automotive LiDAR market scenario through secondary research, extensive primary research has been conducted. Primary interviews have been conducted with market experts from both demand and supply sides across North America, Europe, and Asia Pacific. Approximately 35% of interviews have been conducted from the demand side, while 65% of primary interviews have been conducted from the supply side. The primary data has been collected through questionnaires, emails, and telephone interviews.
In the canvassing of primaries, various departments within organizations, such as sales and operations, have been covered to provide a holistic viewpoint in this report. Primary sources from the supply side include various industry experts, such as CXOs, vice presidents, directors from business development, marketing, product development/innovation teams, and related key executives from various key companies. Various system integrators, industry associations, independent consultants/industry veterans, and key opinion leaders have also been interviewed.
Note: Others include sales, managers, and product managers.
Company tiers are based on the value chain; the company's revenue is not considered.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Multiple approaches were adopted for estimating and forecasting the web content management market. The first approach involves estimating the market size by companies’ revenue generated through the sale of WCM products.
Market Size Estimation Methodology- Top-down approach
Both top-down and bottom-up approaches were used to estimate and validate the total size of the automotive LiDAR market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
Automotive LiDAR Market : Top-Down and Bottom-Up Approach

Data Triangulation
After arriving at the overall market size of the global market through the methodology mentioned above, this market was split into several segments and subsegments. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact market value data for the key segments and sub-segments, wherever applicable. The extrapolated market data was triangulated by studying various macro indicators and regional trends from both the demand and supply-side participants.
Market Definition
According to Texas Instruments, LiDAR is a sensing technology that detects objects and maps their distances. The technology works by illuminating a target with an optical pulse and measuring the characteristics of the reflected return signal.
Stakeholders
- ADAS System Manufacturers
- Automobile Original Equipment Manufacturers (OEMs)
- Automotive Parts Manufacturers’ Association (APMA)
- Automotive Component Manufacturers
- Governments, Financial Institutions, and Investment Communities
- European Automobile Manufacturers Association (ACEA)
- LiDAR Hardware Suppliers
- LiDAR Software Suppliers
- LiDAR System Integrators
- Manufacturers of Automotive LiDAR Microprocessors
- Original Device Manufacturer (ODM) and OEM Technology Solution Providers
- National Highway Traffic Safety Administration (NHTSA)
- Raw Material and Manufacturing Equipment Suppliers
- Research Institutes and Organizations
- Semiconductor Foundries
- Technology Investors
- Technology Standards Organizations, Forums, Alliances, and Associations
- Vehicle Safety Regulatory Bodies
Report Objectives
- To analyze and forecast the automotive LiDAR market in terms of volume (thousand units) and value (USD million) from 2024 to 2030
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To segment the market by Technology, Image Type, ICE Vehicle Type, Location, Electric Vehicle, Range, Laser Wavelength, Measurement Process, Level of Autonomy, and region
- To segment and forecast the market by Technology (Mechanical LiDAR and Solid-state LiDAR)
- To segment and forecast the market by Image Type (2D and 3D)
- To segment and forecast the market by ICE Vehicle Type (Passenger Cars, Light Commercial Vehicles, and Heavy Commercial Vehicles)
- To segment and forecast the market by Location (Bumper & Grill, Headlight & Taillight, Roof & Upper Pillars, and Others)
- To segment and forecast the market by Electric Vehicle Type (Battery Electric Vehicles, Plug-In Hybrid Electric Vehicles, Fuel Cell Electric Vehicles, and Hybrid Electric Vehicles)
- To segment and forecast the market by Range (Short and Mid-range and Long-range)
- To segment and forecast the market by Laser Wavelength (Near Infrared, Short-wave Infrared, and Long-wave Infrared)
- To segment and forecast the market by Measurement Process (Frequency Modulated Continuous Process and Time of Flight)
- To segment and forecast the market by Level of Autonomy (Semi-autonomous and Autonomous)
- To forecast the market by region (North America, Europe, and Asia Pacific)
- To identify and analyze key drivers, challenges, restraints, and opportunities influencing the market growth
- To strategically analyze the market for individual growth trends, prospects, and contributions to the total market
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To study the following with respect to the market
- Pricing Analysis
- Investment and Funding Scenario
- Value Chain Analysis
- Ecosystem Analysis
- Technology Analysis
- HS Code
- Case Study Analysis
- Patent Analysis
- Regulatory Landscape
- Key Stakeholders and Buying Criteria
- Key Conferences and Events
- To strategically profile the key players and comprehensively analyze their market share and core competencies
- To analyze the impact of AI on the market
- To track and analyze competitive developments such as deals, product launches/developments, expansions, and other activities undertaken by the key industry participants
Available Customizations
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Growth opportunities and latent adjacency in Automotive LiDAR Market