Automotive LiDAR Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2023 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0186903
  • Format: Electronic (PDF)
  • Number of Pages: 221
  • Author(s): Joshi, Madhavi

Report Overview

The Automotive LiDAR Market size was estimated at USD 1.5 billion in 2023 and is projected to reach USD 3.5 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 12.00% during the forecast period (2024-2030).

Automotive LiDAR Market

(Market Size)
$1.5 billion
$3.5 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 12.00%
2023 Market Size USD 1.5 billion
2030 Market Size USD 3.5 billion
Key Players Valeo, Continental, Luminar, Innoviz, Velodyne

Market Summary

The automotive LiDAR market is a critical segment within the advanced driver-assistance systems and autonomous vehicle technology landscape. LiDAR, which stands for Light Detection and Ranging, is a remote sensing method that uses laser light to measure distances and generate precise, three-dimensional information about the surrounding environment. This technology is fundamental for enabling vehicles to perceive their surroundings with high accuracy, which is essential for navigation, collision avoidance, and autonomous driving functionalities. The market is characterized by rapid technological evolution, with ongoing innovations aimed at enhancing performance, reducing costs, and improving reliability. Key industry participants include established automotive suppliers and specialized technology firms developing solid-state and mechanical LiDAR systems. The integration of LiDAR is progressing from premium vehicles towards mass-market adoption, supported by increasing regulatory focus on vehicle safety and the continuous development of autonomous driving capabilities. The competitive landscape is dynamic, with strategic partnerships between automotive OEMs and LiDAR technology providers becoming increasingly common to accelerate development and deployment.

Key Highlights

The automotive LiDAR market is distinguished by several pivotal developments. A significant trend is the industry-wide shift from traditional mechanical rotating LiDAR systems towards solid-state LiDAR solutions. Solid-state LiDAR offers advantages in terms of durability, smaller form factor, lower cost potential, and higher reliability as it contains no moving parts, making it more suitable for mass production and integration into consumer vehicles. Another key highlight is the intense competition and collaboration among technology providers such as Velodyne Lidar, Luminar Technologies, Innoviz, and Aeva, who are striving to develop products that meet stringent automotive-grade requirements for performance, longevity, and cost. Furthermore, the market is witnessing a convergence of sensor modalities, where LiDAR data is fused with information from cameras and radar to create a more robust and redundant perception system for vehicles. This sensor fusion is critical for achieving higher levels of automation, as it compensates for the individual weaknesses of each sensor type, ensuring safety and operational reliability in diverse and challenging driving conditions.

Drivers, Opportunities & Restraints

The growth of the automotive LiDAR market is propelled by several powerful drivers. The primary driver is the escalating global demand for enhanced vehicle safety features and the progressive journey towards fully autonomous vehicles. Regulatory bodies and safety assessment programs are increasingly incentivizing or mandating advanced safety systems, which creates a favorable environment for ADAS adoption and, consequently, for LiDAR sensors. The rising investments from major automotive OEMs and technology companies into autonomous vehicle research and development further accelerate market growth. Significant opportunities exist in the commercialization of Level 3 and Level 4 autonomous vehicles, where LiDAR is often considered an indispensable sensor for detailed environmental mapping. However, the market faces notable restraints. The high cost of LiDAR systems remains a significant barrier to widespread adoption in mass-market vehicles, although costs are steadily decreasing. Technical challenges related to performance under adverse weather conditions, such as heavy rain or fog, also present hurdles that manufacturers are actively working to overcome through technological advancements and improved signal processing algorithms.

Concentration Insights

The automotive LiDAR market exhibits a specific concentration in terms of technological expertise and commercial partnerships. The industry is concentrated among a mix of pure-play LiDAR technology startups and established Tier-1 automotive suppliers. Companies like Velodyne Lidar, Quanergy Systems, and Innoviz were among the early pioneers, focusing exclusively on developing LiDAR technology. However, the landscape now includes major automotive suppliers such as Valeo, Continental, and ZF Friedrichshafen, who have entered the market through internal development or strategic acquisitions, aiming to offer integrated ADAS solutions. Geographically, there is a strong concentration of development and early-adoption activities in North America, particularly in Silicon Valley and other tech hubs, driven by the presence of leading autonomous vehicle developers. Europe also represents a significant hub, with strong automotive OEMs and a robust regulatory framework pushing for vehicle safety. This concentration of innovation and manufacturing capabilities in specific regions and among key players creates a dynamic ecosystem of competition and collaboration.

Type Insights

Automotive LiDAR systems are primarily categorized based on their technology type, with the main distinction being between mechanical and solid-state LiDAR. Mechanical LiDAR systems feature rotating assemblies that physically spin the laser and sensor components to achieve a 360-degree field of view. These systems were the first to be widely used in development and testing of autonomous vehicles due to their high resolution and comprehensive coverage. In contrast, solid-state LiDAR has no moving parts, instead using electronically controlled optical phased arrays or micro-mirrors to steer the laser beam. This type is further divided into pure solid-state and hybrid micro-electromechanical systems (MEMS) versions. Solid-state LiDAR is gaining immense traction as it promises greater reliability, compactness, and lower costs at high volumes, making it the preferred choice for integration into production vehicles. The evolution towards solid-state technology represents a fundamental shift in the market, with most new product developments focused on overcoming earlier limitations in field of view and resolution for these systems.

Application Insights

The application of automotive LiDAR spans several critical functions within advanced driver-assistance systems and autonomous driving. A primary application is in adaptive cruise control and automatic emergency braking systems, where LiDAR provides precise long-range object detection and distance measurement to maintain safe following distances and prevent collisions. For semi-autonomous and autonomous vehicles, LiDAR is indispensable for creating high-definition 3D maps of the environment in real-time, enabling functions like lane keeping, traffic jam assist, and highway autopilot. It is particularly valuable for object classification, distinguishing between pedestrians, cyclists, vehicles, and other obstacles with high accuracy. Another growing application is in low-speed automation for commercial and industrial settings, such as autonomous forklifts and last-mile delivery robots. The specific requirements for range, resolution, and field of view vary significantly depending on the application, influencing the choice of LiDAR technology and its integration into the vehicle's overall sensor suite alongside radar and cameras.

Regional Insights

The adoption and development of automotive LiDAR technology demonstrate distinct regional patterns influenced by regulatory environments, industrial base, and consumer acceptance. North America is a forefront region, driven by strong presence of technology companies like Waymo, Cruise, and Tesla, alongside supportive regulatory frameworks for testing and deploying autonomous vehicles. The United States, in particular, is a hub for innovation and early-stage deployment. Europe follows closely, with its robust automotive manufacturing industry and stringent vehicle safety regulations pushing for the integration of advanced sensors. European OEMs and suppliers are actively developing and incorporating LiDAR into their next-generation vehicle platforms. The Asia-Pacific region is emerging as a high-growth market, with countries like China, Japan, and South Korea making significant investments in autonomous vehicle technology. China's large domestic market and government support for smart transportation initiatives are propelling rapid growth in LiDAR adoption among Chinese automakers. Each region presents a unique set of opportunities and challenges based on local infrastructure and policy.

Company Insights

The competitive landscape of the automotive LiDAR market features a diverse array of companies, ranging from specialized technology startups to established automotive giants. Pure-play technology firms such as Velodyne Lidar, Luminar Technologies, Innoviz Technologies, and Aeva have been instrumental in pioneering and advancing LiDAR technology, each developing unique approaches to scanning and detection. These companies often focus on performance metrics like range, resolution, and frame rate. On the other hand, major Tier-1 automotive suppliers like Valeo, Continental AG, and ZF Friedrichshafen have entered the market, leveraging their extensive experience in automotive-grade manufacturing, supply chains, and relationships with OEMs. Valeo, for instance, has already supplied LiDAR for series production vehicles. This creates a competitive environment where innovation from startups is complemented by the scale and reliability of established suppliers. Strategic partnerships, such as those between OEMs and specific LiDAR vendors for exclusive supply agreements, are common and shape the market's direction.

Recent Developments

The automotive LiDAR market is characterized by a fast pace of innovation and strategic moves. A prominent recent development is the series of mergers and acquisitions, as larger companies seek to acquire LiDAR expertise and intellectual property. This consolidation aims to streamline development and accelerate time-to-market for production-ready sensors. Furthermore, there have been significant announcements regarding design wins, where LiDAR companies secure contracts to supply their sensors for specific production vehicle models from major automakers, signaling a transition from prototyping to commercialization. Technologically, recent progress has been focused on improving the performance and reducing the cost of solid-state LiDAR, with companies announcing new product generations that offer longer detection ranges, higher resolution, and improved reliability in all weather conditions. Another key development is the increased focus on software and perception algorithms that interpret raw LiDAR data, turning point clouds into actionable information for the vehicle's driving policy, making the sensor's output more valuable and easier to integrate.

Report Segmentation

This comprehensive market research report on the automotive LiDAR industry provides a detailed analysis segmented across multiple dimensions to offer a granular view of the market dynamics. The report is segmented by technology type, distinguishing between mechanical LiDAR systems and the various forms of solid-state LiDAR, including MEMS-based and optical phased array solutions. It further provides segmentation by application, covering uses in adaptive cruise control, autonomous emergency braking, lane departure warning, and full autonomous driving systems for different automation levels. The analysis includes a breakdown by range, categorizing systems into short-range, mid-range, and long-range LiDAR, each suited for different functions within the vehicle. Additionally, the report offers a detailed regional segmentation, covering market trends and forecasts for North America, Europe, Asia-Pacific, and the Rest of the World. This multi-faceted segmentation allows for a thorough understanding of specific growth areas, technological adoption rates, and regional opportunities within the broader automotive LiDAR ecosystem.

FAQs

What is Automotive LiDAR?

Automotive LiDAR is a sensing technology that uses laser pulses to accurately measure distances to objects and create high-resolution three-dimensional maps of a vehicle's surroundings. It is a critical component for enabling advanced driver-assistance systems and autonomous driving functions by providing precise environmental perception.

How does LiDAR work in cars?

LiDAR systems in cars emit rapid laser light pulses towards the environment. These pulses bounce off objects and return to the sensor. By measuring the time it takes for each pulse to return, the system calculates precise distances, generating a real-time, detailed 3D point cloud map that the vehicle's computer uses to navigate and avoid obstacles.

What is the difference between LiDAR and radar?

LiDAR uses laser light to create high-resolution 3D images, offering excellent accuracy for identifying object shape and size. Radar uses radio waves and is better at measuring the speed of objects and performing well in adverse weather like fog or rain, but it provides lower resolution compared to LiDAR. They are often used together in sensor fusion systems.

Who are the leading companies in automotive LiDAR?

The market includes leading specialized technology firms such as Velodyne Lidar, Luminar Technologies, Innoviz, and Aeva. Established automotive suppliers like Valeo, Continental, and ZF Friedrichshafen are also key players, often integrating LiDAR into broader ADAS and autonomous driving solutions for major automakers.

Is LiDAR necessary for autonomous vehicles?

While there is debate, many industry experts and companies developing high-level autonomy consider LiDAR a crucial sensor for achieving full self-driving capabilities. Its ability to provide precise 3D mapping and accurate distance measurement, regardless of lighting conditions, offers a level of environmental understanding that is difficult to achieve with cameras and radar alone, creating a redundant and safer system.

What are the challenges facing LiDAR adoption?

Key challenges include the historically high cost of production-grade sensors, though prices are decreasing. Technical challenges involve maintaining performance consistency in extreme weather conditions like heavy snow or fog. Additionally, achieving automotive-grade reliability, longevity, and meeting the rigorous safety standards required for vehicle integration present significant hurdles for widespread adoption.

Citius Research has developed a research report titled “Automotive LiDAR Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” delivering key insights regarding business intelligence and providing concrete business strategies to clients in the form of a detailed syndicated report. The report details out the factors such as business environment, industry trend, growth opportunities, competition, pricing, global and regional market analysis, and other market related factors.

Details included in the report for the years 2024 through 2030

• Automotive LiDAR Market Potential
• Segment-wise breakup
• Compounded annual growth rate (CAGR) for the next 6 years
• Key customers and their preferences
• Market share of major players and their competitive strength
• Existing competition in the market
• Price trend analysis
• Key trend analysis
• Market entry strategies
• Market opportunity insights

The report focuses on the drivers, restraints, opportunities, and challenges in the market based on various factors geographically. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report. The Automotive LiDAR Market report is segmented on the basis of various market segments and their analysis, both in terms of value and volume, for each region for the period under consideration.

Automotive LiDAR Market Segmentation

Market Segmentation

Regions Covered

• North America
• Latin America
• Europe
• MENA
• Asia Pacific
• Sub-Saharan Africa and
• Australasia

Automotive LiDAR Market Analysis

The report covers below mentioned analysis, but is not limited to:

• Overview of Automotive LiDAR Market
• Research Methodology
• Executive Summary
• Market Dynamics of Automotive LiDAR Market
  • Driving Factors
  • Restraints
  • Opportunities
• Global Market Status and Forecast by Segment A
• Global Market Status and Forecast by Segment B
• Global Market Status and Forecast by Segment C
• Global Market Status and Forecast by Regions
• Upstream and Downstream Market Analysis of Automotive LiDAR Market
• Cost and Gross Margin Analysis of Automotive LiDAR Market
• Automotive LiDAR Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030
  • Competition Landscape
  • Market Share of Major Players
• Key Recommendations

The “Automotive LiDAR Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” report helps the clients to take business decisions and to understand strategies of major players in the industry. The report delivers the market driven results supported by a mix of primary and secondary research. The report provides the results triangulated through authentic sources and upon conducting thorough primary interviews with the industry experts. The report includes the results on the areas where the client can focus and create point of parity and develop a competitive edge, based on real-time data results.

Automotive LiDAR Market Key Stakeholders

Below are the key stakeholders for the Automotive LiDAR Market:

• Manufacturers
• Distributors/Traders/Wholesalers
• Material/Component Manufacturers
• Industry Associations
• Downstream vendors

Automotive LiDAR Market Report Scope

Report AttributeDetails
Base year2023
Historical data2018 – 2023
Forecast2024 - 2030
CAGR2024 - 2030
Quantitative UnitsValue (USD Million)
Report coverageRevenue Forecast, Competitive Landscape, Growth Factors, Trends and Strategies. Customized report options available on request
Segments coveredProduct type, technology, application, geography
Regions coveredNorth America, Latin America, Europe, MENA, Asia Pacific, Sub-Saharan Africa and Australasia
Countries coveredUS, UK, China, Japan, Germany, India, France, Brazil, Italy, Canada, Russia, South Korea, Australia, Spain, Mexico and others
Customization scopeAvailable on request
PricingVarious purchase options available as per your research needs. Discounts available on request

COVID-19 Impact Analysis

Like most other markets, the outbreak of COVID-19 had an unfavorable impact on the Automotive LiDAR Market worldwide. This report discusses in detail the disruptions experienced by the market, the impact on flow of raw materials, manufacturing operations, production trends, consumer demand and the projected future of this market post pandemic.

The report has helped our clients:

• To describe and forecast the Automotive LiDAR Market size, on the basis of various segmentations and geography, in terms of value and volume
• To measure the changing needs of customers/industries
• To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
• To gain competitive intelligence and uncover new opportunities
• To analyse opportunities in the market for stakeholders by identifying high-growth segments in Automotive LiDAR Market
• To strategically profile key players and provide details of the current competitive landscape
• To analyse strategic approaches adopted by players in the market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Report Customization

Citius Research provides free customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

Customize This Report

Frequently Asked Questions

The Global Automotive LiDAR Market size was valued at $XX billion in 2023 and is anticipated to reach $XX billion by 2030 growing at a CAGR of XX%
The global Automotive LiDAR Market is expected to grow at a CAGR of XX% from 2023 to 2030.
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Table of Contents

Chapter 1. Introduction
  1.1. Market Scope
  1.2. Key Segmentations
  1.3. Research Objective
Chapter 2. Research Methodology & Assumptions
Chapter 3. Executive Summary
Chapter 4. Market Background
  4.1. Dynamics
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunity
    4.1.4. Challenges
  4.2. Key Trends in the Impacting the Market
    4.2.1. Demand & Supply
  4.3. Industry SWOT Analysis
  4.4. Porter’s Five Forces Analysis
  4.5. Value and Supply Chain Analysis
  4.6. Macro-Economic Factors
  4.7. COVID-19 Impact Analysis
    4.7.1. Global and Regional Assessment
  4.8. Profit Margin Analysis
  4.9. Trade Analysis
    4.9.1. Importing Countries
    4.9.2. Exporting Countries
  4.10. Market Entry Strategies
  4.11. Market Assessment (US$ Mn and Units)
Chapter 5. Global Automotive LiDAR Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment A
  5.1. By Segment A, 2024 - 2030
    5.1.1. Sub-Segment A
    5.1.2. Sub-Segment B
  5.2. Opportunity Analysis
Chapter 6. Global Automotive LiDAR Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment B
  6.1. By Segment B, 2024 - 2030
    6.1.1. Sub-Segment A
    6.1.2. Sub-Segment B
  6.2. Opportunity Analysis
Chapter 7. Global Automotive LiDAR Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment C
  7.1. By Segment C, 2024 - 2030
    7.1.1. Sub-Segment A
    7.1.2. Sub-Segment B
  7.2. Opportunity Analysis
Chapter 8. Global Automotive LiDAR Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Region
  8.1. By Region, 2024 - 2030
    8.1.1. North America
    8.1.2. Latin America
    8.1.3. Europe
    8.1.4. MENA
    8.1.5. Asia Pacific
    8.1.6. Sub-Saharan Africa
    8.1.7. Australasia
  8.2. Opportunity Analysis
Chapter 9. North America Automotive LiDAR Market Forecast and Trend Analysis
  9.1. Regional Overview
  9.2. Pricing Analysis
  9.3. Key Trends in the Region
    9.3.1. Supply and Demand
  9.4. Demographic Structure
  9.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    9.5.1. Sub-Segment A
    9.5.2. Sub-Segment B
  9.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    9.6.1. Sub-Segment A
    9.6.2. Sub-Segment B
  9.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    9.7.1. Sub-Segment A
    9.7.2. Sub-Segment B
  9.8. By Country, 2024 - 2030, (US$ Mn and Units)
    9.8.1. U.S.
    9.8.2. Canada
    9.8.3. Rest of North America
  9.9. Opportunity Analysis
Chapter 10. Latin America Automotive LiDAR Market Forecast and Trend Analysis
  10.1. Regional Overview
  10.2. Pricing Analysis
  10.3. Key Trends in the Region
    10.3.1. Supply and Demand
  10.4. Demographic Structure
  10.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    10.5.1. Sub-Segment A
    10.5.2. Sub-Segment B
  10.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    10.6.1. Sub-Segment A
    10.6.2. Sub-Segment B
  10.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    10.7.1. Sub-Segment A
    10.7.2. Sub-Segment B
  10.8. By Country, 2024 - 2030, (US$ Mn and Units)
    10.8.1. Brazil
    10.8.2. Argentina
    10.8.3. Rest of Latin America
  10.9. Opportunity Analysis
Chapter 11. Europe Automotive LiDAR Market Forecast and Trend Analysis
  11.1. Regional Overview
  11.2. Pricing Analysis
  11.3. Key Trends in the Region
    11.3.1. Supply and Demand
  11.4. Demographic Structure
  11.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    11.5.1. Sub-Segment A
    11.5.2. Sub-Segment B
  11.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    11.6.1. Sub-Segment A
    11.6.2. Sub-Segment B
  11.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    11.7.1. Sub-Segment A
    11.7.2. Sub-Segment B
  11.8. By Country, 2024 - 2030, (US$ Mn and Units)
    11.8.1. UK
    11.8.2. Germany
    11.8.3. France
    11.8.4. Spain
    11.8.5. Rest of Europe
  11.9. Opportunity Analysis
Chapter 12. MENA Automotive LiDAR Market Forecast and Trend Analysis
  12.1. Regional Overview
  12.2. Pricing Analysis
  12.3. Key Trends in the Region
    12.3.1. Supply and Demand
  12.4. Demographic Structure
  12.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    12.5.1. Sub-Segment A
    12.5.2. Sub-Segment B
  12.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    12.6.1. Sub-Segment A
    12.6.2. Sub-Segment B
  12.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    12.7.1. Sub-Segment A
    12.7.2. Sub-Segment B
  12.8. By Country, 2024 - 2030, (US$ Mn and Units)
    12.8.1. Egypt
    12.8.2. Algeria
    12.8.3. GCC
    12.8.4. Rest of MENA
  12.9. Opportunity Analysis
Chapter 13. Asia Pacific Automotive LiDAR Market Forecast and Trend Analysis
  13.1. Regional Overview
  13.2. Pricing Analysis
  13.3. Key Trends in the Region
    13.3.1. Supply and Demand
  13.4. Demographic Structure
  13.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    13.5.1. Sub-Segment A
    13.5.2. Sub-Segment B
  13.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    13.6.1. Sub-Segment A
    13.6.2. Sub-Segment B
  13.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    13.7.1. Sub-Segment A
    13.7.2. Sub-Segment B
  13.8. By Country, 2024 - 2030, (US$ Mn and Units)
    13.8.1. India
    13.8.2. China
    13.8.3. Japan
    13.8.4. ASEAN
    13.8.5. Rest of Asia Pacific
  13.9. Opportunity Analysis
Chapter 14. Sub-Saharan Africa Automotive LiDAR Market Forecast and Trend Analysis
  14.1. Regional Overview
  14.2. Pricing Analysis
  14.3. Key Trends in the Region
    14.3.1. Supply and Demand
  14.4. Demographic Structure
  14.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    14.5.1. Sub-Segment A
    14.5.2. Sub-Segment B
  14.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    14.6.1. Sub-Segment A
    14.6.2. Sub-Segment B
  14.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    14.7.1. Sub-Segment A
    14.7.2. Sub-Segment B
  14.8. By Country, 2024 - 2030, (US$ Mn and Units)
    14.8.1. Ethiopia
    14.8.2. Nigeria
    14.8.3. Rest of Sub-Saharan Africa
  14.9. Opportunity Analysis
Chapter 15. Australasia Automotive LiDAR Market Forecast and Trend Analysis
  15.1. Regional Overview
  15.2. Pricing Analysis
  15.3. Key Trends in the Region
    15.3.1. Supply and Demand
  15.4. Demographic Structure
  15.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    15.5.1. Sub-Segment A
    15.5.2. Sub-Segment B
  15.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    15.6.1. Sub-Segment A
    15.6.2. Sub-Segment B
  15.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    15.7.1. Sub-Segment A
    15.7.2. Sub-Segment B
  15.8. By Country, 2024 - 2030, (US$ Mn and Units)
    15.8.1. Australia
    15.8.2. New Zealand
    15.8.3. Rest of Australasia
  15.9. Opportunity Analysis
Chapter 16. Competition Analysis
  16.1. Competitive Benchmarking
    16.1.1. Top Player’s Market Share
    16.1.2. Price and Product Comparison
  16.2. Company Profiles
    16.2.1. Company A
      16.2.1.1. Company Overview
      16.2.1.2. Segmental Revenue
      16.2.1.3. Product Portfolio
      16.2.1.4. Key Developments
      16.2.1.5. Strategic Outlook
    16.2.2. Company B
      16.2.2.1. Company Overview
      16.2.2.2. Segmental Revenue
      16.2.2.3. Product Portfolio
      16.2.2.4. Key Developments
      16.2.2.5. Strategic Outlook
    16.2.3. Company C
      16.2.3.1. Company Overview
      16.2.3.2. Segmental Revenue
      16.2.3.3. Product Portfolio
      16.2.3.4. Key Developments
      16.2.3.5. Strategic Outlook
    16.2.4. Company D
      16.2.4.1. Company Overview
      16.2.4.2. Segmental Revenue
      16.2.4.3. Product Portfolio
      16.2.4.4. Key Developments
      16.2.4.5. Strategic Outlook
    16.2.5. Company E
      16.2.5.1. Company Overview
      16.2.5.2. Segmental Revenue
      16.2.5.3. Product Portfolio
      16.2.5.4. Key Developments
      16.2.5.5. Strategic Outlook
    16.2.6. Company F
      16.2.6.1. Company Overview
      16.2.6.2. Segmental Revenue
      16.2.6.3. Product Portfolio
      16.2.6.4. Key Developments
      16.2.6.5. Strategic Outlook
    16.2.7. Company G
      16.2.7.1. Company Overview
      16.2.7.2. Segmental Revenue
      16.2.7.3. Product Portfolio
      16.2.7.4. Key Developments
      16.2.7.5. Strategic Outlook
    16.2.8. Company H
      16.2.8.1. Company Overview
      16.2.8.2. Segmental Revenue
      16.2.8.3. Product Portfolio
      16.2.8.4. Key Developments
      16.2.8.5. Strategic Outlook
    16.2.9. Company I
      16.2.9.1. Company Overview
      16.2.9.2. Segmental Revenue
      16.2.9.3. Product Portfolio
      16.2.9.4. Key Developments
      16.2.9.5. Strategic Outlook
    16.2.10. Company J
      16.2.10.1. Company Overview
      16.2.10.2. Segmental Revenue
      16.2.10.3. Product Portfolio
      16.2.10.4. Key Developments
      16.2.10.5. Strategic Outlook
Chapter 17. Go-To-Market Strategy

Research Methodology

We follow a robust research methodology to analyze the market in order to provide our clients with qualitative and quantitative analysis which has a very low or negligible deviance. Extensive secondary research supported by primary data collection methods help us to thoroughly understand and gauge the market. We incorporate both top-down and bottom-up approach for estimating the market. The below mentioned methods are then adopted to triangulate and validate the market.

Secondary data collection and interpretation

Secondary research includes sources such as published books, articles in journals, news media and published businesses, government and international body publications, and associations. Sources also include paid databases such as Hoovers, Thomson Reuters, Passport and others. Data derived through secondary sources is further validated through primary sources. The secondary sources also include major manufacturers mapped on the basis of revenues, product portfolios, and sales channels.

Primary data collection

Primary data collection methods include conducting interviews with industry experts and various stakeholders across the supply chain, such as raw material suppliers, manufacturers, product distributors and customers. The interviews are either telephonic or face-to-face, or even a combination of both. Prevailing trends in the industry are gathered by conducting surveys. Primary interviews also help us to understand the market drivers, restraints and opportunities, along with the challenges in the market. This method helps us in validating the data gathered through secondary sources, further triangulating the data and developing it through our statistical tools. We generally conduct interviews with -

  • CEOs, Directors, and VPs
  • Sales and Marketing Managers
  • Plant Heads and Manufacturing Department Heads
  • Product Specialists

Supply Side and Demand Side Data Collection

Supply side analysis is based on the data collected from the manufacturers and the product providers in terms of their segmental revenues. Secondary sources for this type of analysis include company annual reports and publications, associations and organisations, government publications and others.

Demand side analysis is based upon the consumer insights who are the end users of the particular product in question. They could be an individual user or an organisation. Such data is gathered through consumer surveys and focused group interviews.

Market Engineering

As a primary step, in order to develop the market numbers we follow a vigorous methodology that includes studying the parent market of the niche product and understanding the industry trends, acceptance among customers of the product, challenges, future growth, and others, followed by further breaking down the market under consideration into various segments and sub-markets. Additionally, in order to cross-validate the market, we also determine the top players in the market, along with their segmental revenues for the said market. Our secondary sources help us to validate the market share of the top players. Using both the qualitative and quantitative analysis of all the possible factors helps us determine the market numbers which are inclined towards accuracy.

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