Automotive LiDAR Market

Report Code AT 5330
Published in Jan, 2025, By MarketsandMarkets™
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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

The global automotive LiDAR market is projected to reach USD 9.59 billion by 2030, growing from USD 1.19 billion in 2024 at a CAGR of 41.6%. The growth of the market can be attributed to the push of OEMs for a high level of vehicle autonomy, driving the integration of LiDAR systems into sensor suites alongside cameras and radars for improved perception and safety. Many OEMs are integrating LiDAR systems into their vehicles to achieve increased performance. For example, the Zeekr MIX MPV employs five LiDAR sensors for superior performance of its ADAS. Similarly, the BMW i7 has one LiDAR sensor, reflecting a more streamlined approach.

Stringent government regulations worldwide are also propelling the use of LIDAR sensors in vehicles for enhanced safety and performance. Europe’s GSR2 mandates manufacturers to incorporate Advanced Emergency Braking (AEB) and Emergency Lane Keeping Systems (ELKSs) into their vehicles. These systems are equipped with a LiDAR sensor for enhanced safety and performance. Additionally, the strategies adopted by OEMs and the plan of manufacturers to assign enhanced autonomy to vehicles are further boosting the growth of the automotive LiDAR market.

Automotive LiDAR Market

Attractive Opportunities in the Automotive LiDAR Market

ASIA PACIFIC

Asia Pacific is projected to lead the automotive LiDAR market, driven by OEM push for better ADAS capabilities and Government support for higher level of autonomy.

Strict safety regulations like GSR2 and efforts to enhance ADAS features are speeding up the adoption of semi-autonomous autonomous cars in Europe, further boosting the demand for LiDAR.

Commercialization of Level 3 autonomy and push for autonomous ride-hailing services, present lucrative opportunities for market players.

LiDAR’s technical edge over alternative solutions and innovations such as 4D LiDAR are the key factors driving the growth of the automotive LiDAR market.

The North American automotive LiDAR market is projected to reach USD 1.98 billion by 2030, with a CAGR of 44.1%.

Global Automotive LiDAR Market Dynamics

Driver: Focus of OEMs on testing and deploying vehicles with high level of autonomy

The push from OEMs and governments to support high vehicle autonomy is a major driver for the automotive LiDAR market. The need for increased autonomy level demands the use of advanced sensor technologies for precise environmental mapping and object detection, which boosts the need for LiDAR. With the increasing use of Level 3 (L3) and Level 4 (L4) autonomous vehicles, where high-resolution spatial data is crucial, manufacturers are inclined to test the integration of LiDAR systems into their vehicles. In December 2023, BYD Co., Ltd. (China) secured permits for testing L3 vehicles on high-speed roads in China. Similarly, Mercedes-Benz Group AG (Germany) introduced its L3-certified DRIVE PILOT system in its 2024 S-Class (equipped with one LiDAR from Valeo) and EQS (equipped with one LiDAR from Valeo) models in the US. Likewise, in June 2024, BMW Group (Germany) approved the use of L3 technology in its 7 Series [equipped with one LiDAR from Innoviz Technologies Ltd. (Israel)], reflecting its commitment to achieving advanced autonomy in vehicles. This increasing focus on high autonomy levels directly drives the demand for LiDAR, as the technology provides precise, 360-degree environmental sensing necessary for safe navigation and decision-making in vehicles.

Restraint: Adoption of alternative technologies

The adoption of alternative solutions like camera and radar technologies significantly restrains the growth of the automotive LiDAR market. Radar has emerged as a favorable option for OEMs due to its evolving capabilities, cost-effectiveness, and robust performance across diverse weather conditions. Unlike LiDAR, which struggles in rain, fog, or direct sunlight, a radar remains reliable, which makes it indispensable for adaptive cruise control and collision avoidance systems. The introduction of advanced radar technologies, such as Imaging Radar and PMCW radar, has further narrowed the performance gap between radars and LiDAR sensors. Advanced radar technologies enhance resolution, reduce noise, and provide detailed object detection, offering OEMs a dependable and cost-efficient alternative to LiDAR sensors.

The shift in trend from LiDAR to radars can also be understood by the initiatives taken by manufacturers and OEMs. In September 2024, Mobileye (Israel) discontinued the development of LiDAR for imaging radar systems. Similarly, in October 2022, Argo AI (US) shut down the development of LiDAR technology to look for other alternative technology options. This closure of LiDAR development projects and the withdrawal of manufacturers from undertaking new initiatives reflect the challenges to the growth of LiDAR technology amidst the emergence of alternative technologies.

Although solid-state LiDAR is gradually becoming affordable, the operational advantages and low price points offered by radar technology continue to attract OEMs, positioning the technology as a viable substitute and formidable competitor to LiDAR technology in the automotive industry.

 

Opportunity: Growth of commercial vehicles and logistics sectors

The commercial vehicles and logistics sectors present a significant opportunity for the growth of the automotive LiDAR market. LiDAR’s ability to provide high-resolution 3D mapping, precise object detection, and real-time navigation makes it indispensable in autonomous trucking and delivery vehicles. This feature of LiDAR has persuaded key truck manufacturers to integrate LiDAR into their trucks. In January 2024, Daimler Truck AG (Germany) and Torc Robotics (US) integrated Aeva Inc.’s (US) advanced 4D LiDAR into their Freightliner Cascadia trucks. Similarly, Continental AG (Germany), in partnership with Aurora Innovation Inc. (US), announced the launch of the world’s first scalable autonomous truck system by 2027. The system would embed LiDAR sensors for safety and efficiency in freight operations. Likewise, in June 2024, Zelostech (China) unveiled its Z5 self-driving logistics delivery vehicle, featuring Hesai Group’s (China) AT128 LiDAR. This vehicle can scan 1.53 million points per second for intelligent routing and obstacle avoidance. These developments underscore the growing reliance of the automotive industry on LiDAR technology to address industry challenges like driver shortage, fuel efficiency, and the need for 24/7 operations. As the commercial vehicles and logistics sectors embrace automation, LiDAR’s role in ensuring reliable and scalable solutions positions it as a cornerstone technology for the future of freight and commercial vehicles.

Challenge: Fluctuating prices of raw materials and supply chain disruptions

Fluctuating raw material prices, supply chain disruptions, and security concerns significantly challenge the automotive LiDAR market’s growth. LiDAR systems rely on critical materials like silicon, gallium arsenide, indium phosphide, and rare earth elements essential for manufacturing semiconductors, optical sensors, and lasers. These materials often face price volatility due to mining restrictions, high extraction costs, and geopolitical tensions. Additionally, disruptions in mining operations, such as those caused by labor strikes, environmental regulations, or natural disasters, can further constrain material supplies.

Supply chain challenges extend beyond raw materials, presenting bottlenecks in production and logistics. Delays in procuring optical components and rising transportation costs have significantly impacted the production timelines and increased overall system costs. All these disruptions are impacting the growth of the automotive LiDAR market.

Security concerns and associated risks are another hurdle to the growth of automotive LiDAR systems. In December 2024, the Foundation for Defense of Democracies (FDD) released a study highlighting the risks associated with Chinese-made LiDAR systems. The study pointed out potential threats of espionage or cyberattacks on US defense equipment and critical infrastructure due to the use of compromised LiDAR technologies. Such threats negatively impact the popularity of LiDAR systems, particularly in regions with strained geopolitical relations.

Global Automotive LiDAR Market Ecosystem Analysis

The automotive LiDAR market ecosystem is a dynamic network of participants working together to enhance autonomous driving. The ecosystem includes component manufacturers, which supply key photodetectors and provide lasers and optics for LiDAR systems; LiDAR system providers, which design and manufacture complete LiDAR solutions, integrating sensors and scanning technology for accurate 3D mapping; software providers, which offer AI-powered data processing platforms and perception algorithms for real-time vehicle decision-making, enhancing the utility of LiDAR data for autonomous systems; and OEMs, which incorporate these LiDAR systems and software into vehicles, bringing advanced ADAS and autonomous driving features to the market.

Top Companies in Automotive LiDAR Market
 

Solid-state LiDAR segment is projected to witness significant growth during the forecast period

The solid-state LiDAR segment is projected to lead the automotive LiDAR market during the forecast period. The segment’s growth is driven by the compact design of solid-state LiDAR systems, their cost efficiency, and their high durability compared to mechanical LiDAR systems. Unlike mechanical systems, solid-state LiDAR systems have fewer moving parts, which makes them resilient to wear and tear, vibration, and environmental challenges and enables their seamless integration into vehicle designs. Because of their reduced production costs and improved efficiency, solid-state LiDAR systems are used in robotaxis and advanced driver-assistance systems, which positions them as the preferred choice for the evolving automotive industry. Mercedes-Benz’s EQS, Xpeng’s P5, and NIO’s ET7 are equipped with solid-state LiDAR systems.

In January 2024, RoboSense (China) unveiled the M2 and M3 solid-state LiDAR sensors at CES 2024, with the M3 offering long-range detection of up to 300 meters at 10% reflectivity and the M2 offering a range of 250 meters. Similarly, in April 2024, Hesai Group (China) launched the ATX solid-state LiDAR, which is 60% smaller and weighs less than half its predecessor.

Long-range LiDAR (Above 170 Meters) segment is projected to account for largest share during forecast period

The long-range LiDAR (above 170 meters) segment is projected to account for the largest share during the forecast period. The segment’s growth is driven by the ability of long-range LiDAR systems to enhance the perception of autonomous driving and advanced safety features. Unlike short-range LiDAR systems, long-range LiDAR systems are suitable for detecting objects, vehicles, and pedestrians from a great distance, enabling advanced decision-making in vehicles above Level 3. Additionally, their ability to operate efficiently in varying weather and lighting conditions further boosts their adoption among OEMs. The growing emphasis on achieving high levels of vehicle autonomy and improving ADAS capabilities has further propelled the demand for long-range LiDAR sensors.

Many OEMs worldwide are integrating long-range LiDAR technologies into their vehicles. For example, IM Motors’ (China) LS6 and Li Auto’s L7 feature Hesai Group’s long-range LiDAR. Similarly, BMW’s i7 incorporates Innoviz Technologies’ (Israel) long-range LiDAR. This trend is also supported by government mandates and safety regulations pushing for enhanced vehicle safety standards. As automakers focus on enabling safer and more capable autonomous systems, long-range LiDAR systems are emerging as an essential component.

Asia Pacific is projected to lead automotive LiDAR market during forecast period

Asia Pacific is projected to lead the automotive LiDAR market during the forecast period, driven by progressive government initiatives, rapid technological advancements, and the strong presence of key players and automakers. Developments like Seoul’s ‘Autonomous Driving Vision 2030’, which showcases South Korea’s goal to develop city-wide autonomous infrastructure by 2026, and Japan’s goal to deploy Level 4 vehicles across 100 municipalities by 2027 underscore the region’s proactive approach to the adoption of autonomous vehicles, which, in turn, is driving the demand for LiDAR systems in the region.

A series of developments have also been undertaken in China. The country issued 16,000 test licenses for driverless cars, boosting the integration of LiDAR into these vehicles. As of August 2024, the country had opened approximately 20,000 miles of public roads for autonomous testing. By 2025, China plans to equip over 70% of new cars with Level 2 or 3 autonomy in Shanghai.

Companies like RoboSense (China), Hesai Group (China), and Huawei Technologies Co., Ltd. (China) play a crucial role in shaping the automotive LiDAR market in the region by adopting organic and inorganic strategies. In October 2024, Hesai Group (China) partnered with SAIC Volkswagen (China) to equip its vehicles with advanced LiDAR systems. Similarly, in October 2023, Honda (Japan) announced its plans to launch its self-driving taxi by 2026. Likewise, in August 2026, Kia Corporation (South Korea) launched its EV9 model with Level 3 autonomy. The model has a highway driving pilot system and features Valeo’s (France) two LiDAR sensors. These developments highlight Asia Pacific’s inclination toward enhancing the automotive sector’s growth by adopting advanced LiDAR systems and sensors.

LARGEST MARKET IN 2024-2030
CHINA, LARGEST MARKET IN REGION
Automotive LiDAR Market by region

Recent Developments of Automotive LiDAR Market

  • In October 2024, RoboSense (China) announced a strategic partnership with GAC International Co., Ltd. (China). Under this partnership, RoboSense would provide LiDAR solutions for GAC AION’s vehicles.
  • In October 2024, Hesai Group (China) and SAIC Volkswagen (China) signed a new partnership agreement to collaborate on an automotive LiDAR program. This agreement would integrate Hesai Group’s LiDAR technology into SAIC Volkswagen’s vehicle models, enhancing their autonomous driving capabilities.
  • In September 2024, Hesai Group (China) launched OT128 LiDAR to improve its autonomous vehicles’ functionality. The LiDAR features a detection range of up to 200 meters and a simplified architecture that reduces production time by over 95%.
  • In September 2024, Hesai Group (China) launched OT128 LiDAR to improve its autonomous vehicles’ functionality. The LiDAR features a detection range of up to 200 meters and a simplified architecture that reduces production time by over 95%.

Key Market Players

List of Top Automotive LiDAR Market Companies

The Automotive LiDAR Market is dominated by a few major players that have a wide regional presence. The major players in the Automotive LiDAR Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2030
Base year considered 2023
Forecast period 2024-2030
Forecast units Volume (Thousand Units) and Value (USD Billion)
Segments Covered Technology, Image Type, ICE Vehicle Type, Location, Electric Vehicle Type, Range, Laser Wavelength, Measurement Process, Level of Autonomy, and Region
Regions covered Asia Pacific, Europe, and North America

 

Key Questions Addressed by the Report

What is the current size of the automotive LiDAR market?
The automotive LiDAR market is estimated at USD 1.19 billion in 2024. It is projected to reach USD 9.59 billion by 2030, at a CAGR of 41.6%.
Who are the key players in the automotive LiDAR market?
Key players in the automotive LiDAR market include RoboSense (China), Hesai Group (China), Luminar Technologies, Inc. (US), Seyond (US), Huawei Technologies Co., Ltd. (China), Innoviz Technologies Ltd. (Israel), and Valeo (France).
Which region is projected to account for the largest share of the automotive LiDAR market during the forecast period?
Asia Pacific is projected to account for the largest share of the LiDAR market during the forecast period. The region’s growth can be attributed to the rapid advancements in autonomous vehicles, strong government support, and the presence of leading automotive manufacturers.
Which country is projected to lead the automotive LiDAR market in Asia Pacific during the forecast period?
China is projected to lead the automotive LiDAR market in Asia Pacific during the forecast period. The country’s performance is due to its thriving autonomous vehicle ecosystem, extensive smart city initiatives, and the presence of key players like RoboSense (China) and Hesai Group (China).
List the key market trends impacting the growth of the automotive LiDAR market?
Key trends impacting the growth of the automotive LiDAR market include advancements in solid-state technology, increasing integration of LiDAR systems into ADASs to achieve high autonomy levels, and rising demand for LiDAR technology from electric and autonomous vehicle manufacturers.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
1
  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION AND SCOPE
    INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    MARKETS COVERED
    GEOGRAPHIC SEGMENTATION
    YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES
RESEARCH METHODOLOGY
2
  • 2.1 RESEARCH DATA
    SECONDARY DATA
    - MAJOR SECONDARY SOURCES
    - KEY DATA FROM SECONDARY SOURCES
    PRIMARY DATA
    - PRIMARY INTERVIEWS WITH EXPERTS
    - KEY DATA FROM PRIMARY SOURCES
    - KEY INDUSTRY INSIGHTS
    - BREAKDOWN OF PRIMARIES
  • 2.2 MARKET SIZE ESTIMATION
    BOTTOM-UP APPROACH
    - APPROACH FOR CAPTURING MARKET SHARE BY BOTTOM-UP ANALYSIS
    TOP-DOWN APPROACH
    - APPROACH FOR CAPTURING MARKET SHARE BY TOP-DOWN ANALYSIS
  • 2.3 MARKET BREAKDOWN & DATA TRIANGULATION
  • 2.4 FACTOR ANALYSIS
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RISK ASSESSMENT
  • 2.7 RESEARCH LIMITATIONS
EXECUTIVE SUMMARY
3
PREMIUM INSIGHTS
4
MARKET OVERVIEW
5
  • 5.1 INTRODUCTION
  • 5.2 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
  • 5.3 MARKET DYNAMICS
    DRIVERS
    RESTRAINTS
    OPPORTUNITIES
    CHALLENGES
    IMPACT ANALYSIS OF MARKET DYNAMICS
  • 5.4 IMPACT OF AI ON THE AUTOMOTIVE LIDAR MARKET
  • 5.5 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY VEHICLE TYPE, 2021-2024
    AVERAGE SELLING PRICE TREND, BY REGION, 2021-2024
  • 5.6 VALUE CHAIN ANALYSIS
  • 5.7 ECOSYSTEM ANALYSIS
  • 5.8 INVESTMENT AND FUNDING SCENARIO
  • 5.9 FUNDING, BY USE-CASE/APPLICATION
  • 5.10 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - SENSOR FUSION
    - V2X
    - AI
    COMPLEMENTARY TECHNOLOGIES
    - HMI
    - AR
    ADJACENT TECHNOLOGIES
    - 5G
    - CLOUD COMPUTING
  • 5.11 PATENT ANALYSIS
  • 5.12 HS CODE: LASERS (901320)
  • 5.13 KEY CONFERENCES & EVENTS (2025 – 2026)
  • 5.14 CASE STUDY ANALYSIS
  • 5.15 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
AUTOMOTIVE LIDAR MARKET, BY TECHNOLOGY
6
  • 6.1 INTRODUCTION
  • 6.2 MECHANICAL LIDAR
  • 6.3 SOLID-STATE LIDAR
    MICROELECTROMECHANICAL SYSTEMS (MEMS) LIDAR
    FLASH LIDAR
    OPTICAL PHASE ARRAY (OPA) LIDAR
    OTHERS
  • 6.4 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY IMAGE TYPE
7
  • 7.1 INTRODUCTION
  • 7.2 2D
  • 7.3 3D
  • 7.4 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY ICE VEHICLE
8
  • 8.1 INTRODUCTION
  • 8.2 PASSENGER CARS
  • 8.3 LIGHT COMMERCIAL VEHICLES
  • 8.4 HEAVY COMMERCIAL VEHICLES
  • 8.5 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY LOCATION
9
  • 9.1 INTRODUCTION
  • 9.2 BUMPER & GRILL
  • 9.3 HEADLIGHT & TAILLIGHT
  • 9.4 ROOFS & UPPER PILLARS
  • 9.5 OTHERS
  • 9.6 KEY PRIMARY INSIGHTS
    AUTOMOTIVE LIDAR MARKET, BY ELECTRIC VEHICLE
AUTOMOTIVE LIDAR MARKET, BY ELECTRIC VEHICLE
10
  • 10.1 INTRODUCTION
  • 10.2 BATTERY ELECTRIC VEHICLES (BEVS)
  • 10.3 PLUG-IN HYBRID ELECTRIC VEHICLES(PHEVS)
  • 10.4 FUEL CELL ELECTRIC VEHICLES(FCEVS)
  • 10.5 HYBRID ELECTRIC VEHICLES (HEVS)
  • 10.6 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY RANGE
11
  • 11.1 INTRODUCTION
  • 11.2 SHORT AND MID-RANGE (170M AND BELOW)
  • 11.3 LONG RANGE (ABOVE 170M)
  • 11.4 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY LASER WAVELENGTH
12
  • 12.1 INTRODUCTION
  • 12.2 NEAR INFRARED
  • 12.3 SHORT-WAVE INFRARED
  • 12.4 LONG-WAVE INFRARED
  • 12.5 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY MEASUREMENT PROCESS
13
  • 13.1 INTRODUCTION
  • 13.2 FREQUENCY MODULATED CONTINUOUS WAVE (FMCW)
  • 13.3 TIME OF FLIGHT (TOF)
  • 13.4 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY LEVEL OF AUTONOMY
14
  • 14.1 INTRODUCTION
  • 14.2 SEMI-AUTONOMOUS
  • 14.3 AUTONOMOUS
  • 14.4 KEY PRIMARY INSIGHTS
AUTOMOTIVE LIDAR MARKET, BY REGION
15
  • 15.1 INTRODUCTION
  • 15.2 ASIA PACIFIC
    MACROECONOMICS OUTLOOK FOR ASIA PACIFIC
    CHINA
    INDIA
    JAPAN
    SOUTH KOREA
  • 15.3 EUROPE
    MACROECONOMICS OUTLOOK FOR EUROPE
    GERMANY
    FRANCE
    ITALY
    SPAIN
    UK
  • 15.4 NORTH AMERICA
    MACROECONOMICS OUTLOOK FOR NORTH AMERICA
    US
    CANADA
AUTOMOTIVE LIDAR MARKET, COMPETITIVE LANDSCAPE
16
  • 16.1 OVERVIEW
  • 16.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 16.3 MARKET SHARE ANALYSIS, 2023
  • 16.4 REVENUE ANALYSIS OF TOP LISTED/PUBLIC PLAYERS,2023
  • 16.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 16.6 PRODUCT/BRAND COMPARISION
  • 16.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - COMPANY FOOTPRINT
    - REGION FOOTPRINT
    - TECHNOLOGY FOOTPRINT
    - IMAGE TYPE FOOTPRINT
    - ICE VEHICLE TYPE FOOTPRINT
  • 16.8 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
    - DETAILED LIST OF KEY STARTUPS/SMES
    - COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • 16.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES
    DEALS
    EXPANSIONS
    OTHERS
COMPANY PROFILES
17
  • 17.1 KEY PLAYERS
    INNOVIZ TECHNOLOGIES LTD.
    - BUSINESS OVERVIEW
    - PRODUCTS OFFERED
    - RECENT DEVELOPMENTS
    - MNM VIEW
    CONTINENTAL AG
    VALEO
    LUMINAR TECHNOLOGIES INC.
    DENSO CORPORATION
    ROBOSENSE
    OUSTER, INC.
    SICK AG
    ZF FRIEDRICHSHAFEN AG
    VELODYNE LIDAR INC.
    TRIMBLE
    AEVA
  • 17.2 OTHER KEY PLAYERS
    BARAJA PTY LTD
    MICROVISION
    LEDDERTECH
    QUANERGY SYSTEMS
    PANASONIC
    OMRON CORPORATION
    TRILUMINA CORPORATION
    XENOMATIX
    HESAI TECHNOLOGIES
    LIVOX
    HUAWEI
    AMS-OSRAM AG
RECOMMENDATIONS BY MARKETSANDMARKETS
18
APPENDIX
19
  • 19.1 DISCUSSION GUIDE
  • 19.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 19.3 AVAILABLE CUSTOMIZATIONS
  • 19.4 RELATED REPORTS
  • 19.5 AUTHOR DETAILS

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.

Automotive LiDAR Market Size, and Share

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

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
  • 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
  • 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
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  • Global Automotive LiDAR market, By Level of Autonomy, at Country Level

Previous Versions of this Report

Automotive LiDAR Market by Technology (Solid-state LiDAR, & Mechanical LiDAR), Image Type (2D & 3D), Measurement Process (ToF, FMCW), Location, EV Type, ICE Vehicle Type, Maximum Range, Laser Wavelength, Autonomy, and Region - Global Forecast to 2030

Report Code AT 5330
Published in Nov, 2022, By MarketsandMarkets™

Automotive LiDAR Market by Technology (Solid-state LiDAR, & Mechanical LiDAR), Image Type (2D & 3D), Measurement Process (ToF, FMCW), Location, EV Type, ICE Vehicle Type, Maximum Range, Laser Wavelength, Autonomy, and Region - Global Forecast to 2030

Report Code AT 5330
Published in Jun, 2017, By MarketsandMarkets™
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Growth opportunities and latent adjacency in Automotive LiDAR Market

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