Automotive LiDAR Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Technology ; By Location ; By Image Projection ; By Range Type ; By Vehicle Type ; By Application ; By Region

Description

Global Automotive LiDAR Market Size Set to Grow at Robust CAGR of 39.10% to Reach USD 4918.59 Billion by 2029

Global automotive LiDAR market is rapidly growing due to increasing demand for advanced driver assistance systems (ADAS), improving safety standards in the automotive industry, and growing investments by automotive manufacturers and technology companies in LiDAR technology research and development.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global automotive LiDAR market size at USD 489.63 million in 2022. During the forecast period between 2023 and 2029, global automotive LiDAR market size is to grow at a robust CAGR of 39.10% reaching a value of USD 4918.59 million by 2029. Major factors driving the growth of the market are the increased need for autonomous vehicles driving the demand for enhanced sensing technologies such as LiDAR. LiDAR allows vehicles to correctly assess their surroundings, improving their navigation capabilities. Also, there is a noticeable shift towards solid-state LiDAR technology, which is more compact, durable, and cost-effective than classic mechanical scanning systems. This change is being accelerated by advances in semiconductor technology. Manufacturers of LiDAR solutions are concentrating on enhancing performance and lowering costs to make them more accessible to a wider range of vehicles, including passenger automobiles and commercial trucks.

Global Automotive LiDAR Market - Overview:

Automotive LiDAR (Light Detection and Ranging) is a term used to describe a technology that allows cars to see and understand their environment. It makes accurate three-dimensional maps of the surroundings using lasers to measure distances. Automotive LiDAR systems use laser pulses to calculate distances and build precise point cloud representations of their surroundings. They then time how long it takes for the light to reflect. Automotive LiDAR plays a critical role in advanced driver assistance systems (ADAS) and autonomous driving applications by delivering precise and real-time data on the vehicle's surroundings, improving safety, and enabling better navigation and decision-making by the vehicle.

Impact of COVID-19 on Global Automotive LiDAR Market

The COVID-19 pandemic significantly impacted the global automotive LiDAR market. As the automotive industry faced disruptions in production and supply chains, the demand for LiDAR technology was affected. The market experienced a slowdown due to temporary factory closures, reduced consumer spending, and supply chain constraints. The pandemic also led to a shift in consumer preferences, with a greater focus on essential needs rather than luxury items like advanced driver-assistance systems (ADAS) that rely on LiDAR. However, as the industry recovers and economies reopen, the automotive LiDAR market is expected to regain momentum, driven by the increasing adoption of autonomous vehicles and the growing emphasis on road safety.

Global Automotive LiDAR Market - By Location:

On the basis of location, global automotive LiDAR market is divided into Roofs & Upper Pillars, Headlights & Taillights, and Bumpers & Grills segments. Roofs & Upper Pillars segment is the largest contributor to the global automotive LiDAR market. This segment encompasses the integration of LiDAR technology into the roofs and upper pillars of vehicles. By incorporating LiDAR sensors in these areas, automotive manufacturers can enhance the capabilities of advanced driver assistance systems (ADAS) and autonomous driving features. The integration of LiDAR in roofs and upper pillars enables a wider field of view and improved detection of surrounding objects, ensuring safer and more efficient driving experiences. This segment represents a significant portion of the global automotive LiDAR market due to the increasing demand for advanced safety and autonomous driving solutions in the automotive industry.

Competitive Landscape:

Global automotive LiDAR market is fiercely competitive. Major companies in the market include Delphi Automotive PLC, NXP Semiconductors, TetraVue, XenomatiX N.V., Luminar Technologies Inc., LeddarTech Inc., Continental AG, Robert Bosch GmbH, Quanergy Systems Inc., Velodyne LIDAR Inc., Valeo SA, HELLA GmbH & Co. KGaA, First Sensor AG, Ibeo Automotive Systems GmbH, and DENSO Corporation. Companies use various strategies, including increasing investments in their R&D activities, mergers, and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in global automotive LiDAR market.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Automotive LiDAR Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Automotive LiDAR Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Product Code: BWC23476

1. Research Framework

1.1. Research Objective
1.2. Product Overview
1.3. Market Segmentation

2. Executive Summary

3. Global Automotive LiDAR Market Insights

3.1. Industry Value Chain Analysis
3.2. DROC Analysis
- 3.2.1. Growth Drivers
  - 3.2.1.1. Increasing Use of LiDAR Systems in Autonomous Vehicles to Boost Market Potential
  - 3.2.1.2. Surge in Investments & Funding in LiDAR Startups
- 3.2.2. Restraints
  - 3.2.2.1. High Cost Of LIDAR System
- 3.2.3. Opportunities
  - 3.2.3.1. Advancement in Technology
- 3.2.4. Challenges
  - 3.2.4.1. Stringent Government Regulations
3.3. Technology Advancements/Recent Developments
3.4. Regulatory Framework
3.5. Porter's Five Forces Analysis
- 3.5.1. Bargaining Power of Suppliers
- 3.5.2. Bargaining Power of Buyers
- 3.5.3. Threat of New Entrants
- 3.5.4. Threat of Substitutes
- 3.5.5. Intensity of Rivalry

4. Global Automotive LiDAR Market Overview

4.1. Market Vehicle Type & Forecast, 2019-2029
- 4.1.1. By Value (USD Million)
4.2. Market Share & Forecast
- 4.2.1. By Technology
  - 4.2.1.1. Solid-state LiDAR
  - 4.2.1.2. Mechanical/Scanning LiDAR
- 4.2.2. By Location
  - 4.2.2.1. Roofs & Upper Pillars
  - 4.2.2.2. Headlights & Taillights
  - 4.2.2.3. Bumpers & Grills
- 4.2.3. By Image Projection
  - 4.2.3.1. 2D Automotive LiDAR
  - 4.2.3.2. 3D Automotive LiDAR
- 4.2.4. By Range Type
  - 4.2.4.1. Short & Mid-range Automotive LiDAR
  - 4.2.4.2. Long-range Automotive LiDAR
- 4.2.5. By Vehicle Type
  - 4.2.5.1. IC Engine Vehicles
  - 4.2.5.2. Hybrid Electric Vehicles (HEVs)
  - 4.2.5.3. Plug-in Hybrid Electric Vehicles (PHEVs)
  - 4.2.5.4. Battery Electric Vehicles (BEVs)
- 4.2.6. By Application
  - 4.2.6.1. Semi-autonomous
  - 4.2.6.2. Autonomous
- 4.2.7. By Region
  - 4.2.7.1. North America
  - 4.2.7.2. Europe
  - 4.2.7.3. Asia Pacific (APAC)
  - 4.2.7.4. Latin America (LATAM)
  - 4.2.7.5. Middle East and Africa (MEA)

5. North America Automotive LiDAR Market

5.1. Market Vehicle Type & Forecast, 2019-2029
- 5.1.1. By Value (USD Million)
5.2. Market Share & Forecast
- 5.2.1. By Technology
- 5.2.2. By Location
- 5.2.3. By Image Projection
- 5.2.4. By Range Type
- 5.2.5. By Vehicle Type
- 5.2.6. By Application
- 5.2.7. By Country
  - 5.2.7.1. United States
  - 5.2.7.1.1. By Technology
  - 5.2.7.1.2. By Location
  - 5.2.7.1.3. By Image Projection
  - 5.2.7.1.4. By Range Type
  - 5.2.7.1.5. By Vehicle Type
  - 5.2.7.1.6. By Application
  - 5.2.7.2. Canada
  - 5.2.7.2.1. By Technology
  - 5.2.7.2.2. By Location
  - 5.2.7.2.3. By Image Projection
  - 5.2.7.2.4. By Range Type
  - 5.2.7.2.5. By Vehicle Type
  - 5.2.7.2.6. By Application

6. Europe Automotive LiDAR Market

6.1. Market Vehicle Type & Forecast, 2019-2029
- 6.1.1. By Value (USD Million)
6.2. Market Share & Forecast
- 6.2.1. By Technology
- 6.2.2. By Location
- 6.2.3. By Image Projection
- 6.2.4. By Range Type
- 6.2.5. By Vehicle Type
- 6.2.6. By Application
- 6.2.7. By Country
  - 6.2.7.1. Germany
  - 6.2.7.1.1. By Technology
  - 6.2.7.1.2. By Location
  - 6.2.7.1.3. By Image Projection
  - 6.2.7.1.4. By Range Type
  - 6.2.7.1.5. By Vehicle Type
  - 6.2.7.1.6. By Application
  - 6.2.7.2. United Kingdom
  - 6.2.7.2.1. By Technology
  - 6.2.7.2.2. By Location
  - 6.2.7.2.3. By Image Projection
  - 6.2.7.2.4. By Range Type
  - 6.2.7.2.5. By Vehicle Type
  - 6.2.7.2.6. By Application
  - 6.2.7.3. Italy
  - 6.2.7.3.1. By Technology
  - 6.2.7.3.2. By Location
  - 6.2.7.3.3. By Image Projection
  - 6.2.7.3.4. By Range Type
  - 6.2.7.3.5. By Vehicle Type
  - 6.2.7.3.6. By Application
  - 6.2.7.4. France
  - 6.2.7.4.1. By Technology
  - 6.2.7.4.2. By Location
  - 6.2.7.4.3. By Image Projection
  - 6.2.7.4.4. By Range Type
  - 6.2.7.4.5. By Vehicle Type
  - 6.2.7.4.6. By Application
  - 6.2.7.5. Spain
  - 6.2.7.5.1. By Technology
  - 6.2.7.5.2. By Location
  - 6.2.7.5.3. By Image Projection
  - 6.2.7.5.4. By Range Type
  - 6.2.7.5.5. By Vehicle Type
  - 6.2.7.5.6. By Application
  - 6.2.7.6. Belgium
  - 6.2.7.6.1. By Technology
  - 6.2.7.6.2. By Location
  - 6.2.7.6.3. By Image Projection
  - 6.2.7.6.4. By Range Type
  - 6.2.7.6.5. By Vehicle Type
  - 6.2.7.6.6. By Application
  - 6.2.7.7. Russia
  - 6.2.7.7.1. By Technology
  - 6.2.7.7.2. By Location
  - 6.2.7.7.3. By Image Projection
  - 6.2.7.7.4. By Range Type
  - 6.2.7.7.5. By Vehicle Type
  - 6.2.7.7.6. By Application
  - 6.2.7.8. Netherlands
  - 6.2.7.8.1. By Technology
  - 6.2.7.8.2. By Location
  - 6.2.7.8.3. By Image Projection
  - 6.2.7.8.4. By Range Type
  - 6.2.7.8.5. By Vehicle Type
  - 6.2.7.8.6. By Application
  - 6.2.7.9. Rest of Europe
  - 6.2.7.9.1. By Technology
  - 6.2.7.9.2. By Location
  - 6.2.7.9.3. By Image Projection
  - 6.2.7.9.4. By Range Type
  - 6.2.7.9.5. By Vehicle Type
  - 6.2.7.9.6. By Application

7. Asia Pacific Automotive LiDAR Market

7.1. Market Vehicle Type & Forecast, 2019-2029
- 7.1.1. By Value (USD Million)
7.2. Market Share & Forecast
- 7.2.1. By Technology
- 7.2.2. By Location
- 7.2.3. By Image Projection
- 7.2.4. By Range Type
- 7.2.5. By Vehicle Type
- 7.2.6. By Application
- 7.2.7. By Country
  - 7.2.7.1. China
  - 7.2.7.1.1. By Technology
  - 7.2.7.1.2. By Location
  - 7.2.7.1.3. By Image Projection
  - 7.2.7.1.4. By Range Type
  - 7.2.7.1.5. By Vehicle Type
  - 7.2.7.1.6. By Application
  - 7.2.7.2. India
  - 7.2.7.2.1. By Technology
  - 7.2.7.2.2. By Location
  - 7.2.7.2.3. By Image Projection
  - 7.2.7.2.4. By Range Type
  - 7.2.7.2.5. By Vehicle Type
  - 7.2.7.2.6. By Application
  - 7.2.7.3. Japan
  - 7.2.7.3.1. By Technology
  - 7.2.7.3.2. By Location
  - 7.2.7.3.3. By Image Projection
  - 7.2.7.3.4. By Range Type
  - 7.2.7.3.5. By Vehicle Type
  - 7.2.7.3.6. By Application
  - 7.2.7.4. South Korea
  - 7.2.7.4.1. By Technology
  - 7.2.7.4.2. By Location
  - 7.2.7.4.3. By Image Projection
  - 7.2.7.4.4. By Range Type
  - 7.2.7.4.5. By Vehicle Type
  - 7.2.7.4.6. By Application
  - 7.2.7.5. Australia & New Zealand
  - 7.2.7.5.1. By Technology
  - 7.2.7.5.2. By Location
  - 7.2.7.5.3. By Image Projection
  - 7.2.7.5.4. By Range Type
  - 7.2.7.5.5. By Vehicle Type
  - 7.2.7.5.6. By Application
  - 7.2.7.6. Indonesia
  - 7.2.7.6.1. By Technology
  - 7.2.7.6.2. By Location
  - 7.2.7.6.3. By Image Projection
  - 7.2.7.6.4. By Range Type
  - 7.2.7.6.5. By Vehicle Type
  - 7.2.7.6.6. By Application
  - 7.2.7.7. Malaysia
  - 7.2.7.7.1. By Technology
  - 7.2.7.7.2. By Location
  - 7.2.7.7.3. By Image Projection
  - 7.2.7.7.4. By Range Type
  - 7.2.7.7.5. By Vehicle Type
  - 7.2.7.7.6. By Application
  - 7.2.7.8. Singapore
  - 7.2.7.8.1. By Technology
  - 7.2.7.8.2. By Location
  - 7.2.7.8.3. By Image Projection
  - 7.2.7.8.4. By Range Type
  - 7.2.7.8.5. By Vehicle Type
  - 7.2.7.8.6. By Application
  - 7.2.7.9. Vietnam
  - 7.2.7.9.1. By Technology
  - 7.2.7.9.2. By Location
  - 7.2.7.9.3. By Image Projection
  - 7.2.7.9.4. By Range Type
  - 7.2.7.9.5. By Vehicle Type
  - 7.2.7.9.6. By Application
  - 7.2.7.10. Rest of APAC
  - 7.2.7.10.1. By Technology
  - 7.2.7.10.2. By Location
  - 7.2.7.10.3. By Image Projection
  - 7.2.7.10.4. By Range Type
  - 7.2.7.10.5. By Vehicle Type
  - 7.2.7.10.6. By Application

8. Latin America Automotive LiDAR Market

8.1. Market Vehicle Type & Forecast, 2019-2029
- 8.1.1. By Value (USD Million)
8.2. Market Share & Forecast
- 8.2.1. By Technology
- 8.2.2. By Location
- 8.2.3. By Image Projection
- 8.2.4. By Range Type
- 8.2.5. By Vehicle Type
- 8.2.6. By Application
- 8.2.7. By Country
  - 8.2.7.1. Brazil
  - 8.2.7.1.1. By Technology
  - 8.2.7.1.2. By Location
  - 8.2.7.1.3. By Image Projection
  - 8.2.7.1.4. By Range Type
  - 8.2.7.1.5. By Vehicle Type
  - 8.2.7.1.6. By Application
  - 8.2.7.2. Mexico
  - 8.2.7.2.1. By Technology
  - 8.2.7.2.2. By Location
  - 8.2.7.2.3. By Image Projection
  - 8.2.7.2.4. By Range Type
  - 8.2.7.2.5. By Vehicle Type
  - 8.2.7.2.6. By Application
  - 8.2.7.3. Argentina
  - 8.2.7.3.1. By Technology
  - 8.2.7.3.2. By Location
  - 8.2.7.3.3. By Image Projection
  - 8.2.7.3.4. By Range Type
  - 8.2.7.3.5. By Vehicle Type
  - 8.2.7.3.6. By Application
  - 8.2.7.4. Peru
  - 8.2.7.4.1. By Technology
  - 8.2.7.4.2. By Location
  - 8.2.7.4.3. By Image Projection
  - 8.2.7.4.4. By Range Type
  - 8.2.7.4.5. By Vehicle Type
  - 8.2.7.4.6. By Application
  - 8.2.7.5. Rest of LATAM
  - 8.2.7.5.1. By Technology
  - 8.2.7.5.2. By Location
  - 8.2.7.5.3. By Image Projection
  - 8.2.7.5.4. By Range Type
  - 8.2.7.5.5. By Vehicle Type
  - 8.2.7.5.6. By Application

9. Middle East & Africa Automotive LiDAR Market

9.1. Market Vehicle Type & Forecast, 2019-2029
- 9.1.1. By Value (USD Million)
9.2. Market Share & Forecast
- 9.2.1. By Technology
- 9.2.2. By Location
- 9.2.3. By Image Projection
- 9.2.4. By Range Type
- 9.2.5. By Vehicle Type
- 9.2.6. By Application
- 9.2.7. By Country
  - 9.2.7.1. Saudi Arabia
  - 9.2.7.1.1. By Technology
  - 9.2.7.1.2. By Location
  - 9.2.7.1.3. By Image Projection
  - 9.2.7.1.4. By Range Type
  - 9.2.7.1.5. By Vehicle Type
  - 9.2.7.1.6. By Application
  - 9.2.7.2. UAE
  - 9.2.7.2.1. By Technology
  - 9.2.7.2.2. By Location
  - 9.2.7.2.3. By Image Projection
  - 9.2.7.2.4. By Range Type
  - 9.2.7.2.5. By Vehicle Type
  - 9.2.7.2.6. By Application
  - 9.2.7.3. Qatar
  - 9.2.7.3.1. By Technology
  - 9.2.7.3.2. By Location
  - 9.2.7.3.3. By Image Projection
  - 9.2.7.3.4. By Range Type
  - 9.2.7.3.5. By Vehicle Type
  - 9.2.7.3.6. By Application
  - 9.2.7.4. Kuwait
  - 9.2.7.4.1. By Technology
  - 9.2.7.4.2. By Location
  - 9.2.7.4.3. By Image Projection
  - 9.2.7.4.4. By Range Type
  - 9.2.7.4.5. By Vehicle Type
  - 9.2.7.4.6. By Application
  - 9.2.7.5. South Africa
  - 9.2.7.5.1. By Technology
  - 9.2.7.5.2. By Location
  - 9.2.7.5.3. By Image Projection
  - 9.2.7.5.4. By Range Type
  - 9.2.7.5.5. By Vehicle Type
  - 9.2.7.5.6. By Application
  - 9.2.7.6. Nigeria
  - 9.2.7.6.1. By Technology
  - 9.2.7.6.2. By Location
  - 9.2.7.6.3. By Image Projection
  - 9.2.7.6.4. By Range Type
  - 9.2.7.6.5. By Vehicle Type
  - 9.2.7.6.6. By Application
  - 9.2.7.7. Algeria
  - 9.2.7.7.1. By Technology
  - 9.2.7.7.2. By Location
  - 9.2.7.7.3. By Image Projection
  - 9.2.7.7.4. By Range Type
  - 9.2.7.7.5. By Vehicle Type
  - 9.2.7.7.6. By Application
  - 9.2.7.8. Rest of MEA
  - 9.2.7.8.1. By Technology
  - 9.2.7.8.2. By Location
  - 9.2.7.8.3. By Image Projection
  - 9.2.7.8.4. By Range Type
  - 9.2.7.8.5. By Vehicle Type
  - 9.2.7.8.6. By Application

10. Competitive Landscape

10.1. List of Key Players and Their Offerings
10.2. Global Automotive LiDAR Company Market Share Analysis, 2022
10.3. Competitive Benchmarking, By Operating Parameters
10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Automotive LiDAR Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

12.1. Delphi Automotive PLC
12.2. NXP Semiconductors
12.3. TetraVue
12.4. XenomatiX N.V.
12.5. Luminar Technologies Inc.
12.6. LeddarTech Inc.
12.7. Continental AG
12.8. Robert Bosch GmbH
12.9. Quanergy Systems Inc.
12.10. Velodyne LIDAR Inc.
12.11. Valeo SA
12.12. HELLA GmbH & Co. KGaA
12.13. First Sensor AG
12.14. Ibeo Automotive Systems GmbH
12.15. DENSO Corporation
12.16. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

14.1. Qualitative Research
- 14.1.1. Primary & Secondary Research
14.2. Quantitative Research
14.3. Market Breakdown & Data Triangulation
- 14.3.1. Secondary Research
- 14.3.2. Primary Research
14.4. Breakdown of Primary Research Respondents, By Region
14.5. Assumptions & Limitations