Automotive LiDAR Market Size & Share 2023 to 2032

Market Size by Type (Mechanical, Solid-State), by Vehicle (Autonomous, Semi-Autonomous), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, & Forecast.
Report ID: GMI2911
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Published Date: November 2022
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Report Format: PDF

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Automotive LiDAR Market Size

Automotive LiDAR Market size exceeded USD 450 million in 2022 and is projected to expand at more than 65% CAGR from 2023 to 2032. Growing integration of sensing technology in autonomous vehicles will positively influence the industry growth.
 

Automobile manufacturers consider LiDAR as a key enabling technology for self-driving vehicle development. This sensor can adapt to all light conditions and evaluate parameters such as raindrop density and braking distance for autonomous cars. Automakers have also been joining hands with self-driving service providers worldwide to fuel LiDAR technology development.
 

Automotive LiDAR Market

Solid-state automotive LiDAR sensors, however, are considered expensive for mass production. Their optical designs also have inherent optical inefficiencies, reducing the signal intensity and limiting the range and performance. Additionally, the performance optimization of this technology is associated with significant challenges. These product limitations may restrain industry expansion to some extent. Despite these challenges, the rise in investments to improve vehicle sensor technologies will support the growth of automotive LiDAR suppliers globally.
 

Automotive LiDAR Market Analysis

Automotive LiDAR market from the solid-state segment is slated to depict over 85% CAGR through 2032. Compared to traditional LiDAR technology, automotive solid-state LiDAR sensors are cost-effective and provide high-resolution data. This sensor also has an edge over radars in delivering an accurate picture of the surroundings of vehicles. Moreover, the increasing collaboration among automakers to lower the price of LiDAR systems will further accelerate sensor deployment.
 

Flash LiDARs based on solid-state designs can deliver performance, range, and all-weather reliability at lower costs and higher MTBF over mechanical scanning LiDARs. In addition, they can offer improved detection rates and accuracy as compared to cameras, radars, or other sensor types. This technology can be integrated into automated systems to facilitate electronic toll collection. The growing awareness of these benefits will augment the use of solid-state LiDAR sensing technology in vehicles.
 

Europe Automotive LiDAR Market Share, By Vehicle

The autonomous vehicle segment accounted for around 30% of the automotive LiDAR market share in 2022, given the escalating government investment in self-driving vehicle development projects. In October 2022, the UK government pledged USD 100 million to ensure the consistent development of autonomous vehicles. As a result, the demand for automotive LiDAR sensors is likely to surge, given their ability to provide reliable and precise navigation to detect vehicles, people, and objects in real time. Self-driving vehicles equipped with LiDAR can also efficiently and safely navigate dynamic and unfamiliar environments for optimal safety, further contributing to product consumption.
 

Asia Pacific Automotive LiDAR Market Share, By Country

Asia Pacific automotive LiDAR market size is expected to record nearly 80% gains through 2032, due to the increasing R&D and investments in self-driving cars. In countries such as Japan, China, and South Korea, favorable government initiatives are being taken to commercialize autonomous cars. Citing an instance, in October 2022, the Japanese government announced plans to avail mobility services that feature Level 4 vehicles in 40 areas and 100 areas by 2025 and 2030 respectively.
 

Automotive LiDAR Market Share

Top companies operating in the automotive LiDAR market are:

  • XenomatiX N.V
  • Velodyne Lidar Inc
  • SICK AG
  • Quanergy Systems Inc
  • Ouster, Inc
  • OMRON Corporation
  • Luminar Technologies Inc
  • LeddarTech Inc
  • Innoviz Technologies Ltd
  • Hesai Technology
  • Continental AG
  • Cepton Technologies Inc
  • Beijing SureStar Technology Co., Ltd
  • AEye Inc
  • Argo AI LL
  • Aurora Innovation 

These leaders are emphasizing business expansions, collaborations, and product launches to strengthen their presence in the industry.
 

For instance, in April 2022, Innoviz Technologies and LiangDao Intelligence collaborated to help OEMs in China explore new customization methods for the LiDAR solutions of Innoviz. These solutions were aimed at accelerating high-resolution InnovizTwo-based LiDAR series production for the China market.
 

COVID-19 Impact

The coronavirus outbreak has posed unprecedented impacts on the global automobile industry owing to supply chain disruptions and economic downturns. However, autonomous vehicle developers may witness a growth trajectory, especially in the wake of the rise in contactless food delivery trends during the lockdown phase to curb viral infections. For instance, in March 2022, SEVEN FRESH, a fresh food supermarket, rolled out autonomous vehicles to ensure food supply in Shenzhen amid a rapid surge in COVID-19 cases. The deployment of self-driving vehicles for contactless food delivery will, in turn, foster the advancement of LiDAR sensing technology in autonomous car applications, creating a favorable outlook for the industry.
 

The automotive LiDAR market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2032, for the following segments:

Market Insights, By Type

  • Mechanical
  • Solid-State

Market Insights, By Vehicle

  • Semi-autonomous
  • Autonomous

The above information has been provided for the following regions and countries:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
      • Netherlands
    • Sweden
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Singapore
  • Latin America and MEA
    • Brazil
    • Mexico
    • UAE

 

AuthorsSuraj Gujar, Ankita Chavan
Automotive LiDAR Market Scope
  • Automotive LiDAR Market Size
  • Automotive LiDAR Market Trends
  • Automotive LiDAR Market Analysis
  • Automotive LiDAR Market Share

Report Content

Chapter 1   Methodology & Scope

1.1    Market definition

1.2    Base estimates & forecast

1.3    Forecast calculations

1.4    Data Sources

1.4.1   Secondary

1.4.2   Primary

1.5    Industry glossary

Chapter 2   Executive Summary

2.1    Automotive LiDAR industry 3600 synopsis, 2018– 2032

2.2    Business trends

2.2.1   Total Addressable Market (TAM)

2.3    Regional trends

2.4    Type trends

2.5    Vehicle trends

Chapter 3   Automotive LiDAR industry Insights

3.1    Introduction

3.2    Impact of COVID-19 outbreak

3.2.1   North America

3.2.2   Europe

3.2.3   Asia Pacific

3.2.4   LAMEA

3.3    Impact of Russia-Ukraine conflict

3.4    Automotive LiDAR industry ecosystem analysis

3.4.1   Automotive LiDAR software and hardware provider

3.4.2   LiDAR developers

3.4.3   Automotive OEMs

3.4.4   System integrators

3.4.5   End-user

3.4.6   Vendor matrix

3.4.7   Profit margin analysis

3.5    Automotive LiDAR evolution

3.6    Technology & innovation landscape

3.6.1   Electro-optical

3.6.2   Optical Phased array

3.6.3   Liquid Crystal

3.6.4   Flash LiDAR

3.7    Regulatory landscape

3.8    Investment portfolio

3.9    Patent analysis

3.10    News & initiatives

3.11    Industry impact foreces

3.11.1    Growth drivers

3.11.1.1    Growing research & development activities for autonomous vehicles

3.11.1.2    The advent of solid-state LiDAR technology in the automotive industry

3.11.1.3    Increasing investment in Auto-Tech

3.11.1.4    Supporting government initiatives

3.11.2    Industry pitfalls & challenges

3.11.2.1    Performance limitations

3.11.2.2    High Cost of LiDAR

3.12    Growth potential analysis

3.13    Porter’s analysis

3.13.1    Bargaining power of suppliers

3.13.2    Bargaining power of buyers

3.13.3    Threat of new entratnt

3.13.4    Threat of substitute

3.14    PESTEL analysis

3.14.1    Political

3.14.2    Economical

3.14.3    Social

3.14.4    Technological

3.14.5    Legal

3.14.6    Environmental

Chapter 4   Competitive Landscape

4.1    Introduction

4.2    Company market share analysis, 2022

4.3    Competive analysis of key market players, 2022

4.3.1   Chart key

4.3.2   Argo AI

4.3.3   Innoviz Technologies Ltd.

4.3.4   LeddarTech

4.3.5   Valeo

4.3.6   Velodyne LiDAR, Inc

4.4    Competive analysis of innovative market players, 2022

4.4.1   Hesai Technology

4.4.2   Quanergy Systems, Inc.

4.4.3   Luminar Technologies

4.4.4   Cepton Technologies, Inc.

4.5    Competitive positioning matrix

4.6    Strategic outlook matrix

Chapter 5   Automotive LiDAR Market, By Type

5.1    Key trends, by type

5.2    Mechanical

5.2.1   Market estimates and forecast, 2018– 2032

5.3    Solid-state

5.3.1   Market estimates and forecast, 2018– 2032

Chapter 6   Automotive LiDAR Market, By Vehicle

6.1    Key trends, by vehicle

6.2    Autonomous

6.2.1   Market estimates and forecast, 2018– 2032

6.2.1.1    Market estimates and forecast, by type, 2018– 2032

6.3    Semi-autonomous

6.3.1   Market estimates and forecast, 2018– 2032

6.3.1.1    Market estimates and forecast, by type, 2018– 2032

Chapter 7   Automotive LiDAR Market, By Region

7.1    Key trends by region

7.2    North America

7.2.1   Market estimates and forecast, 2018– 2032

7.2.2   Market estimates and forecast, by type, 2018– 2032

7.2.3   Market estimates and forecast, by vehicle, 2018– 2032

7.2.3.1    Market estimates and forecast, by type, 2018– 2032

7.2.4   U.S.

7.2.4.1    Market estimates and forecast, 2018– 2032

7.2.4.2    Market estimates and forecast, by type, 2018– 2032

7.2.4.3    Market estimates and forecast, by vehicle, 2018– 2032

7.2.4.3.1   Market estimates and forecast, by type, 2018– 2032

7.2.5   Canada

7.2.5.1    Market estimates and forecast, 2018– 2032

7.2.5.2    Market estimates and forecast, by type, 2018– 2032

7.2.5.3    Market estimates and forecast, by vehicle, 2018– 2032

7.2.5.3.1   Market estimates and forecast, by type, 2018– 2032

7.3    Europe

7.3.1   Market estimates and forecast, 2018– 2032

7.3.2   Market estimates and forecast, by type, 2018– 2032

7.3.3   Market estimates and forecast, by vehicle, 2018– 2032

7.3.3.1    Market estimates and forecast, by type, 2018– 2032

7.3.4   UK

7.3.4.1    Market estimates and forecast, 2018– 2032

7.3.4.2    Market estimates and forecast, by type, 2018– 2032

7.3.4.3    Market estimates and forecast, by vehicle, 2018– 2032

7.3.4.3.1   Market estimates and forecast, by type, 2018– 2032

7.3.5   Germany

7.3.5.1    Market estimates and forecast, 2018– 2032

7.3.5.2    Market estimates and forecast, by type, 2018– 2032

7.3.5.3    Market estimates and forecast, by vehicle, 2018– 2032

7.3.5.3.1   Market estimates and forecast, by type, 2018– 2032

7.3.6   France

7.3.6.1    Market estimates and forecast, 2018– 2032

7.3.6.2    Market estimates and forecast, by type, 2018– 2032

7.3.6.3    Market estimates and forecast, by vehicle, 2018– 2032

7.3.6.3.1   Market estimates and forecast, by type, 2018– 2032

7.3.7   Netherlands

7.3.7.1    Market estimates and forecast, 2018– 2032

7.3.7.2    Market estimates and forecast, by type, 2018– 2032

7.3.7.3    Market estimates and forecast, by vehicle, 2018– 2032

7.3.7.3.1   Market estimates and forecast, by type, 2018– 2032

7.3.8   Sweden

7.3.8.1    Market estimates and forecast, 2018– 2032

7.3.8.2    Market estimates and forecast, by type, 2018– 2032

7.3.8.3    Market estimates and forecast, by vehicle, 2018– 2032

7.3.8.3.1   Market estimates and forecast, by type, 2018– 2032

7.4    Asia Pacific

7.4.1   Market estimates and forecast, 2018– 2032

7.4.2   Market estimates and forecast, by type, 2018– 2032

7.4.3   Market estimates and forecast, by vehicle, 2018– 2032

7.4.3.1    Market estimates and forecast, by type, 2018– 2032

7.4.4   China

7.4.4.1    Market estimates and forecast, 2018– 2032

7.4.4.2    Market estimates and forecast, by type, 2018– 2032

7.4.4.3    Market estimates and forecast, by vehicle, 2018– 2032

7.4.4.3.1   Market estimates and forecast, by type, 2018– 2032

7.4.5   India

7.4.5.1    Market estimates and forecast, 2018– 2032

7.4.5.2    Market estimates and forecast, by type, 2018– 2032

7.4.5.3    Market estimates and forecast, by vehicle, 2018– 2032

7.4.5.3.1   Market estimates and forecast, by type, 2018– 2032

7.4.6   Japan

7.4.6.1    Market estimates and forecast, 2018– 2032

7.4.6.2    Market estimates and forecast, by type, 2018– 2032

7.4.6.3    Market estimates and forecast, by vehicle, 2018– 2032

7.4.6.3.1   Market estimates and forecast, by type, 2018– 2032

7.4.7   South Korea

7.4.7.1    Market estimates and forecast, 2018– 2032

7.4.7.2    Market estimates and forecast, by type, 2018– 2032

7.4.7.3    Market estimates and forecast, by vehicle, 2018– 2032

7.4.7.3.1   Market estimates and forecast, by type, 2018– 2032

7.4.8   Singapore

7.4.8.1    Market estimates and forecast, 2018– 2032

7.4.8.2    Market estimates and forecast, by type, 2018– 2032

7.4.8.3    Market estimates and forecast, by vehicle, 2018– 2032

7.4.8.3.1   Market estimates and forecast, by type, 2018– 2032

7.5    LAMEA

7.5.1   Market estimates and forecast, 2018– 2032

7.5.2   Market estimates and forecast, by type, 2018– 2032

7.5.3   Market estimates and forecast, by vehicle, 2018– 2032

7.5.3.1    Market estimates and forecast, by type, 2018– 2032

7.5.4   Brazil

7.5.4.1    Market estimates and forecast, 2018– 2032

7.5.4.2    Market estimates and forecast, by type, 2018– 2032

7.5.4.3    Market estimates and forecast, by vehicle, 2018– 2032

7.5.4.3.1   Market estimates and forecast, by type, 2018– 2032

7.5.5   Mexico

7.5.5.1    Market estimates and forecast, 2018– 2032

7.5.5.2    Market estimates and forecast, by type, 2018– 2032

7.5.5.3    Market estimates and forecast, by vehicle, 2018– 2032

7.5.5.3.1   Market estimates and forecast, by type, 2018– 2032

7.5.6   UAE

7.5.6.1    Market estimates and forecast, 2018– 2032

7.5.6.2    Market estimates and forecast, by type, 2018– 2032

7.5.6.3    Market estimates and forecast, by vehicle, 2018– 2032

7.5.6.3.1   Market estimates and forecast, by type, 2018– 2032

Chapter 8   Company Profiles

8.1    AEye, Inc.

8.1.1   Business Overview

8.1.2   Financial Data

8.1.3   Product Landscape

8.1.4   Strategic Outlook

8.1.5   SWOT Analysis

8.2    Argo AI, LLC

8.2.1   Business Overview

8.2.2   Financial Data

8.2.3   Product Landscape

8.2.4   Strategic Outlook

8.2.5   SWOT Analysis

8.3    Aurora Innovation, Inc.

8.3.1   Business Overview

8.3.2   Financial Data

8.3.3   Product Landscape

8.3.4   Strategic Outlook

8.3.5   SWOT Analysis

8.4    Beijing SureStar Technology Co., Ltd.

8.4.1   Business Overview

8.4.2   Financial Data

8.4.3   Product Landscape

8.4.4   Strategic Outlook

8.4.5   SWOT Analysis

8.5    Benewake (Beijing) Co., Ltd.

8.5.1   Business Overview

8.5.2   Financial Data

8.5.3   Product Landscape

8.5.4   Strategic Outlook

8.5.5   SWOT Analysis

8.6    Cepton Technologies, Inc.

8.6.1   Business Overview

8.6.2   Financial Data

8.6.3   Product Landscape

8.6.4   Strategic Outlook

8.6.5   SWOT Analysis

8.7    Continental AG

8.7.1   Business Overview

8.7.2   Financial Data

8.7.3   Product Landscape

8.7.4   Strategic Outlook

8.7.5   SWOT Analysis

8.8    Hesai Technology

8.8.1   Business Overview

8.8.2   Financial Data

8.8.3   Product Landscape

8.8.4   Strategic Outlook

8.8.5   SWOT Analysis

8.9    Innoviz Technologies Ltd.

8.9.1   Business Overview

8.9.2   Financial Data

8.9.3   Product Landscape

8.9.4   Strategic Outlook

8.9.5   SWOT Analysis

8.10    LeddarTech Inc.

8.10.1    Business Overview

8.10.2    Financial Data

8.10.3    Product Landscape

8.10.4    Strategic Outlook

8.10.5    SWOT Analysis

8.11    LeiShen Intelligent Systems Co., Ltd.

8.11.1    Business Overview

8.11.2    Financial Data

8.11.3    Product Landscape

8.11.4    Strategic Outlook

8.11.5    SWOT Analysis

8.12    Lumentum Holdings, Inc.

8.12.1    Business Overview

8.12.2    Financial Data

8.12.3    Product Landscape

8.12.4    Strategic Outlook

8.12.5    SWOT Analysis

8.13    Luminar Technologies Inc.

8.13.1    Business Overview

8.13.2    Financial Data

8.13.3    Product Landscape

8.13.4    Strategic Outlook

8.13.5    SWOT Analysis

8.14    OMRON Corporation

8.14.1    Business Overview

8.14.2    Financial Data

8.14.3    Product Landscape

8.14.4    Strategic Outlook

8.14.5    SWOT Analysis

8.15    Ouster Inc.

8.15.1    Business Overview

8.15.2    Financial Data

8.15.3    Product Landscape

8.15.4    Strategic Outlook

8.15.5    SWOT Analysis

8.16    Quanergy Systems Inc.

8.16.1    Business Overview

8.16.2    Financial Data

8.16.3    Product Landscape

8.16.4    Strategic Outlook

8.16.5    SWOT Analysis

8.17    SICK AG

8.17.1    Business Overview

8.17.2    Financial Data

8.17.3    Product Landscape

8.17.4    Strategic Outlook

8.17.5    SWOT Analysis

8.18    Tetravue, Inc.

8.18.1    Business Overview

8.18.2    Financial Data

8.18.3    Product Landscape

8.18.4    Strategic Outlook

8.18.5    SWOT Analysis

8.19    Valeo SE

8.19.1    Business Overview

8.19.2    Financial Data

8.19.3    Product Landscape

8.19.4    Strategic Outlook

8.19.5    SWOT Analysis

8.20    Velodyne Lidar, Inc.

8.20.1    Business Overview

8.20.2    Financial Data

8.20.3    Product Landscape

8.20.4    Strategic Outlook

8.20.5    SWOT Analysis

8.21    XenomatiX N.V.

8.21.1    Business Overview

8.21.2    Financial Data

8.21.3    Product Landscape

8.21.4    Strategic Outlook

8.21.5    SWOT Analysis

   

   

Don't see your key competitors?

The companies listed in this report are a curated selection - not the full competitive universe.

Our market revenue calculations use a bottom-up methodology that accounts for all players across all regions - including manufacturers, distributors, and specialists not individually profiled. The profiles section spotlights strategically significant players; it does not define the scope of our market sizing.

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Premium Report Details

Base Year: 2022

Companies Profiled: 21

Tables and Figures: 472

Countries covered: 15

Pages: 281

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