AEROSPACE & DEFENCE
Global LiDAR Drone Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global LiDAR Drone Market, By Drone Type (Fixed-Wing, Rotary-Wing), Component (Cameras, Navigation and Positioning Units, Laser Scanners, Others), Application (Corridor Mapping, Aerospace and Defense, Mining, Construction, Entertainment, Environment, Agriculture, Others), LiDAR Type (Topographic, Bathymetric), Range (Short, Medium, Long), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032
Market Insights
The global LiDAR Drone market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
A LiDAR drone is an unmanned aerial vehicle (UAV) or drone equipped with Light Detection and Ranging (LiDAR) technology.
Market Dynamics
DRIVERS
- Adoption of LiDAR drone in mining, corridor mapping, precision agriculture applications
- The growing demand for surveillance and technological developments in the drone industry
RESTRAINTS
- Strict laws and limitations pertaining to drone use in different nations
- The lack of educated customers
OPPORTUNITIES
- Emergence of 4G LiDAR
- Rising 3D imaging demand and a sharp increase in LiDAR adoption across a range of industries
CHALLENGES
- Cost of LiDAR Technology
- Flight Time and Battery Limitations
SEGMENTATION
MARKET SEGMENTATION
- Drone Type
- Fixed-Wing
- Rotary-Wing
- Component
- Cameras
- Navigation and Positioning Units
- Laser Scanners
- Others
- Application
- Corridor Mapping
- Aerospace and Defense
- Mining
- Construction
- Entertainment
- Environment
- Agriculture
- Others
- LiDAR Type
- Topographic
- Bathymetric
- Range
- Short
- Medium
- Long
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Velodyne Lidar, Inc.
- LEOSPHERE(Vaisala)
- FARO
- Leica Geosystems AG
- Teledyne Optech Incorporated
- RIEGL Laser Measurement Systems GmbH
- Mira Solutions, Inc
- Aerometrex
- Yellowscan
- SICK AG
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global LiDAR Drone Market, by Drone Type
- 3.2 Global LiDAR Drone Market, by Component
- 3.3 Global LiDAR Drone Market, by Application
- 3.4 Global LiDAR Drone Market, by LiDAR Type
- 3.5 Global LiDAR Drone Market, by Range
- 3.6 Global LiDAR Drone Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Trend 1
- 5.1.2 Trend 2
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Adoption of LiDAR drone in mining, corridor mapping, percision agriculture applications
- 5.2.2 The growing demand for surveillance and technological developments in the drone industry
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Strict laws and limitations pertaining to drone use in different nations
- 5.3.2 The lack of educated customers
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Emergence of 4G LiDAR
- 5.4.2 Rising 3D imaging demand and a sharp increase in LiDAR adoption across a range of industries
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Cost of LiDAR Technology
- 5.5.2 Flight Time and Battery Limitations
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL LIDAR DRONE MARKET, BY DRONE TYPE
- 6.1 Drone Type Summary
- 6.2 Market Attractive Index
- 6.3 Global LiDAR Drone Market, by Drone Type (2019-2032)
- SECTION 7 - GLOBAL LIDAR DRONE MARKET, BY COMPONENT
- 7.1 Component Summary
- 7.2 Market Attractive Index
- 7.3 Global LiDAR Drone Market, by Component (2019-2032)
- SECTION 8 - GLOBAL LIDAR DRONE MARKET, BY APPLICATION
- 8.1 Application Summary
- 8.2 Market Attractive Index
- 8.3 Global LiDAR Drone Market, by Application (2019-2032)
- SECTION 9 - GLOBAL LIDAR DRONE MARKET, BY LIDAR TYPE
- 9.1 LiDAR Type Summary
- 9.2 Market Attractive Index
- 9.3 Global LiDAR Drone Market, by LiDAR Type (2019-2032)
- SECTION 10 - GLOBAL LIDAR DRONE MARKET, BY RANGE
- 10.1 Range Summary
- 10.2 Market Attractive Index
- 10.3 Global LiDAR Drone Market, by Range (2019-2032)
- SECTION 11 - GLOBAL LIDAR DRONE MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global LiDAR Drone Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA LIDAR DRONE MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America LiDAR Drone Market, by Drone Type (2019-2032)
- 12.4 North America LiDAR Drone Market, by Component (2019-2032)
- 12.5 North America LiDAR Drone Market, by Application (2019-2032)
- 12.6 North America LiDAR Drone Market, by LiDAR Type (2019-2032)
- 12.7 North America LiDAR Drone Market, by Range (2019-2032)
- 12.8 North America LiDAR Drone Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE LIDAR DRONE MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe LiDAR Drone Market, by Drone Type (2019-2032)
- 13.4 Europe LiDAR Drone Market, by Component (2019-2032)
- 13.5 Europe LiDAR Drone Market, by Application (2019-2032)
- 13.6 Europe LiDAR Drone Market, by LiDAR Type (2019-2032)
- 13.7 Europe LiDAR Drone Market, by Range (2019-2032)
- 13.8 Europe LiDAR Drone Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC LIDAR DRONE MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific LiDAR Drone Market, by Drone Type (2019-2032)
- 14.4 Asia-Pacific LiDAR Drone Market, by Component (2019-2032)
- 14.5 Asia-Pacific LiDAR Drone Market, by Application (2019-2032)
- 14.6 Asia-Pacific LiDAR Drone Market, by LiDAR Type (2019-2032)
- 14.7 Asia-Pacific LiDAR Drone Market, by Range (2019-2032)
- 14.8 Asia-Pacific LiDAR Drone Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA LIDAR DRONE MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America LiDAR Drone Market, by Drone Type (2019-2032)
- 15.4 South America LiDAR Drone Market, by Component (2019-2032)
- 15.5 South America LiDAR Drone Market, by Application (2019-2032)
- 15.6 South America LiDAR Drone Market, by LiDAR Type (2019-2032)
- 15.7 South America LiDAR Drone Market, by Range (2019-2032)
- 15.8 South America LiDAR Drone Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA LIDAR DRONE MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa LiDAR Drone Market, by Drone Type (2019-2032)
- 16.4 Middle East and Africa LiDAR Drone Market, by Component (2019-2032)
- 16.5 Middle East and Africa LiDAR Drone Market, by Application (2019-2032)
- 16.6 Middle East and Africa LiDAR Drone Market, by LiDAR Type (2019-2032)
- 16.7 Middle East and Africa LiDAR Drone Market, by Range (2019-2032)
- 16.8 Middle East and Africa LiDAR Drone Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global LiDAR Drone Market, Company Share Analysis
- 17.2 North America LiDAR Drone Market, Company Share Analysis
- 17.3 Europe LiDAR Drone Market, Company Share Analysis
- 17.4 Asia-Pacific LiDAR Drone Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 Velodyne Lidar, Inc.
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 LEOSPHERE(Vaisala)
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 FARO
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 Leica Geosystems AG
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 Teledyne Optech Incorporated
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 RIEGL Laser Measurement Systems GmbH
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 Mira Solutions, Inc
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Aerometrex
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 Yellowscan
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 SICK AG
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.