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Automotive LiDAR Market Size To Hit US$ 4.5 Billion By 2030

The global automotive LiDAR market size is expected to hit around USD 4.5 billion by 2030 and progressing a CAGR of 28.5% over the forecast period 2022 to 2030.

 Automotive LiDAR Market Size 2021 to 2030

The on automotive LiDAR Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.

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Report Scope of the Automotive LiDAR Market

Report HighlightsDetails
Market SizeUSD 4.5 Billion by 2030
Growth RateCAGR of 28.5% from 2022 to 2030
Largest MarketNorth America
Fastest Growing MarketEurope
Base Year2021
Forecast Period2022 to 2030
Segments CoveredProduct, Component, Application, Region Type

A recent report provides crucial insights along with application based and forecast information in the Global Automotive LiDAR Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Automotive LiDAR market.

A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.

Companies and Manufacturers Covered

The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Automotive LiDAR market are included as given below:

Automotive LiDAR Market Key Players

  • LeosphereSaS
  • Airborne Hydrography AB
  • Faro Technologies Inc.
  • Aerometric Inc.
  • 3D Laser Mapping Inc.
  • Mira Solutions Inc.
  • Quanergy Systems, Inc.
  • Optech Inc. (Teledyne Technologies)
  • IBEO automotive systems GmbH
  • Velodyne
  • LeicGeosystems Inc.

Market Segments

 By Product Type

  • Aerial
  • Mobile
  • Terrestrial/Static
  • Short-range

By Components

  • Laser
  • GPS/GNSS Receiver
  • Camera
  • Inertial Navigation System
  • Micro Electro Mechanical System

By Application

  • Advanced Driver Assistance System (ADAS)
    • Adaptive Cruise Control
    • Automatic Emergency Braking
  • Autonomous Cars

By Regional Outlook

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
  • Rest of the World

Report Objectives

  • To define, describe, and forecast the global automotive LiDAR market based on product, and region
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
  • To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
  • To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
  • To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
  • To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
  • To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the automotive LiDAR market

Table of Content

 Chapter 1. Introduction

1.1. Research Objective
1.2. Scope of the Study
1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope

4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis

Chapter 5. Market Dynamics Analysis and Trends

5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition

Chapter 6. Competitive Landscape

6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers

Chapter 7. Global Automotive LiDAR Market, By Product

7.1. Automotive LiDAR Market, by Product Type, 2022-2030
7.1.1. Aerial
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Mobile
7.1.2.1. Market Revenue and Forecast (2017-2030)
7.1.3. Terrestrial/Static
7.1.3.1. Market Revenue and Forecast (2017-2030)
7.1.4. Short-range
7.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 8. Global Automotive LiDAR Market, By Application

8.1. Automotive LiDAR Market, by Application, 2022-2030
8.1.1. Advanced Driver Assistance System (ADAS)
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Autonomous Cars
8.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Automotive LiDAR Market, By Components

9.1. Automotive LiDAR Market, by Components, 2022-2030
9.1.1. Laser
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. GPS/GNSS Receiver
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Camera
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Inertial Navigation System
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Micro Electro Mechanical System
9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Automotive LiDAR Market, Regional Estimates and Trend Forecast

10.1. North America
10.1.1. Market Revenue and Forecast, by Product (2017-2030)
10.1.2. Market Revenue and Forecast, by Application (2017-2030)
10.1.3. Market Revenue and Forecast, by Components (2017-2030)
10.1.4. U.S.
10.1.4.1. Market Revenue and Forecast, by Product (2017-2030)
10.1.4.2. Market Revenue and Forecast, by Application (2017-2030)
10.1.4.3. Market Revenue and Forecast, by Components (2017-2030)
10.1.5. Rest of North America
10.1.5.1. Market Revenue and Forecast, by Product (2017-2030)
10.1.5.2. Market Revenue and Forecast, by Application (2017-2030)
10.1.5.3. Market Revenue and Forecast, by Components (2017-2030)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Product (2017-2030)
10.2.2. Market Revenue and Forecast, by Application (2017-2030)
10.2.3. Market Revenue and Forecast, by Components (2017-2030)
10.2.4. UK
10.2.4.1. Market Revenue and Forecast, by Product (2017-2030)
10.2.4.2. Market Revenue and Forecast, by Application (2017-2030)
10.2.4.3. Market Revenue and Forecast, by Components (2017-2030)
10.2.5. Germany
10.2.5.1. Market Revenue and Forecast, by Product (2017-2030)
10.2.5.2. Market Revenue and Forecast, by Application (2017-2030)
10.2.5.3. Market Revenue and Forecast, by Components (2017-2030)
10.2.6. France
10.2.6.1. Market Revenue and Forecast, by Product (2017-2030)
10.2.6.2. Market Revenue and Forecast, by Application (2017-2030)
10.2.6.3. Market Revenue and Forecast, by Components (2017-2030)
10.2.7. Rest of Europe
10.2.7.1. Market Revenue and Forecast, by Product (2017-2030)
10.2.7.2. Market Revenue and Forecast, by Application (2017-2030)
10.2.7.3. Market Revenue and Forecast, by Components (2017-2030)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Product (2017-2030)
10.3.2. Market Revenue and Forecast, by Application (2017-2030)
10.3.3. Market Revenue and Forecast, by Components (2017-2030)
10.3.4. India
10.3.4.1. Market Revenue and Forecast, by Product (2017-2030)
10.3.4.2. Market Revenue and Forecast, by Application (2017-2030)
10.3.4.3. Market Revenue and Forecast, by Components (2017-2030)
10.3.5. China
10.3.5.1. Market Revenue and Forecast, by Product (2017-2030)
10.3.5.2. Market Revenue and Forecast, by Application (2017-2030)
10.3.5.3. Market Revenue and Forecast, by Components (2017-2030)
10.3.6. Japan
10.3.6.1. Market Revenue and Forecast, by Product (2017-2030)
10.3.6.2. Market Revenue and Forecast, by Application (2017-2030)
10.3.6.3. Market Revenue and Forecast, by Components (2017-2030)
10.3.7. Rest of APAC
10.3.7.1. Market Revenue and Forecast, by Product (2017-2030)
10.3.7.2. Market Revenue and Forecast, by Application (2017-2030)
10.3.7.3. Market Revenue and Forecast, by Components (2017-2030)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Product (2017-2030)
10.4.2. Market Revenue and Forecast, by Application (2017-2030)
10.4.3. Market Revenue and Forecast, by Components (2017-2030)
10.4.4. GCC
10.4.4.1. Market Revenue and Forecast, by Product (2017-2030)
10.4.4.2. Market Revenue and Forecast, by Application (2017-2030)
10.4.4.3. Market Revenue and Forecast, by Components (2017-2030)
10.4.5. North Africa
10.4.5.1. Market Revenue and Forecast, by Product (2017-2030)
10.4.5.2. Market Revenue and Forecast, by Application (2017-2030)
10.4.5.3. Market Revenue and Forecast, by Components (2017-2030)
10.4.6. South Africa
10.4.6.1. Market Revenue and Forecast, by Product (2017-2030)
10.4.6.2. Market Revenue and Forecast, by Application (2017-2030)
10.4.6.3. Market Revenue and Forecast, by Components (2017-2030)
10.4.7. Rest of MEA
10.4.7.1. Market Revenue and Forecast, by Product (2017-2030)
10.4.7.2. Market Revenue and Forecast, by Application (2017-2030)
10.4.7.3. Market Revenue and Forecast, by Components (2017-2030)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Product (2017-2030)
10.5.2. Market Revenue and Forecast, by Application (2017-2030)
10.5.3. Market Revenue and Forecast, by Components (2017-2030)
10.5.4. Brazil
10.5.4.1. Market Revenue and Forecast, by Product (2017-2030)
10.5.4.2. Market Revenue and Forecast, by Application (2017-2030)
10.5.4.3. Market Revenue and Forecast, by Components (2017-2030)
10.5.5. Rest of LATAM
10.5.5.1. Market Revenue and Forecast, by Product (2017-2030)
10.5.5.2. Market Revenue and Forecast, by Application (2017-2030)
10.5.5.3. Market Revenue and Forecast, by Components (2017-2030)

Chapter 11. Company Profiles

11.1. LeosphereSaS
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. Airborne Hydrography AB
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Faro Technologies Inc.
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. Aerometric Inc.
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. 3D Laser Mapping Inc.
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. Mira Solutions Inc.
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. Quanergy Systems, Inc.
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. Optech Inc. (Teledyne Technologies)
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives
11.9. IBEO automotive systems GmbH
11.9.1. Company Overview
11.9.2. Product Offerings
11.9.3. Financial Performance
11.9.4. Recent Initiatives
11.10. Velodyne
11.10.1. Company Overview
11.10.2. Product Offerings
11.10.3. Financial Performance
11.10.4. Recent Initiatives
11.11. LeicGeosystems Inc.
11.11.1. Company Overview
11.11.2. Product Offerings
11.11.3. Financial Performance
11.11.4. Recent Initiatives

Chapter 12. Research Methodology

12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions

Chapter 13. Appendix

13.1. About Us
13.2. Glossary of Terms

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