LiDAR Drone Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global LiDAR Drone Market was valued at USD 183.4 million in 2023 and is projected to grow at a CAGR of over 19% from 2024 to 2032, driven by the increasing demand for precision mapping and surveying across various industries.

Sectors, such as construction, mining, agriculture, and urban planning are increasingly relying on accurate geographical data. LiDAR technology excels in capturing high-resolution, three-dimensional topographic data, making it essential for land surveying, infrastructure assessment, and environmental monitoring. To meet this growing demand, major market players are introducing new LiDAR drone solutions. For instance, in February 2024, Wingtra launched an innovative LiDAR drone solution. This new payload integrates the efficiency and high accuracy of WingtraOne GEN II drones with a Wingtra-engineered LiDAR sensor for enhancing the capabilities of LiDAR technology.

The overall industry is divided into component, LiDAR type, drone, range, end-user, and region.

The market is segmented based on LiDAR type into topographic and bathymetric categories. In 2023, the topographic segment accounted for over 75% of the market share. Topographic LiDAR provides accurate, 3-dimensional representations of land surfaces, which are important for applications in construction, urban planning, and environmental management. The demand for detailed terrain information has surged as industries require precise data for planning and development projects. This technology's ability to capture land elevation, contours, and features aids in creating digital elevation models (DEMs) and conducting comprehensive land surveys.

When segmented by drone type, the market is divided into fixed-wing and rotary-wing categories. In 2023, the rotary-wing segment generated USD 114 million in revenue. Rotary-wing drones offer efficient maneuverability and stability, which are essential for capturing detailed data in complex and confined environments. Their vertical movement capabilities enable them to survey challenging terrains, such as dense forests, urban landscapes, and intricate infrastructures, making them indispensable for tasks requiring high-resolution data and detailed 3D mapping.

North America held a significant share of the LiDAR drone market in 2023, with around 35% of the market share. The region's infrastructure expansion and urban development are key drivers of this industry growth. Government investments in modernizing infrastructure and planning new projects have increased the demand for precise and detailed data to guide these initiatives. For example, in June 2024, the U.S. Transportation Department received USD 1.8 billion from the Rebuilding American Infrastructure with Sustainability and Equity (RAISE) grant program, aimed at enhancing American infrastructure sustainably and equitably.

Product Code: 10614

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Component providers
- 3.2.2 Manufacturers
- 3.2.3 Technology providers
- 3.2.4 End-user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increased demand for precision mapping and surveying
  - 3.8.1.2 Regulatory support and standardization for drones
  - 3.8.1.3 Rapid urban planning and development
  - 3.8.1.4 Improved data processing and analytics features in drones
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High initial cost
  - 3.8.2.2 Data security and privacy concerns
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Laser scanners
5.3 Navigation and positioning systems
5.4 Cameras
5.5 Others

Chapter 6 Market Estimates and Forecast, By LiDAR, 2021 - 2032 ($Bn, Units)

6.1 Key trends
6.2 Topographic
6.3 Bathymetric

Chapter 7 Market Estimates and Forecast, By Drone, 2021 - 2032 ($Bn, Units)

7.1 Key trends
7.2 Fixed-wing
7.3 Rotary-wing

Chapter 8 Market Estimates and Forecast, By Range, 2021 - 2032 ($Bn, Units)

8.1 Key trends
8.2 Short range
- 8.2.1 Fixed-wing
- 8.2.2 Rotary-wing
8.3 Medium range
- 8.3.1 Fixed-wing
- 8.3.2 Rotary-wing
8.4 Long range
- 8.4.1 Fixed-wing
- 8.4.2 Rotary-wing

Chapter 9 Market Estimates and Forecast, By End-User, 2021 - 2032 ($Bn, Units)

9.1 Key trends
9.2 Aerospace and defense
9.3 Construction
9.4 Forestry and agriculture
9.5 Transportation
9.6 Mining
9.7 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn, Units)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Netherlands
- 10.3.7 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA

Chapter 11 Company Profiles

11.1 Delair
11.2 Draganfly
11.3 Emesent
11.4 FARO Technologies Inc.
11.5 Flyability
11.6 GeoCue Group
11.7 HESAI
11.8 Leica Geosystems AG
11.9 Microdrones
11.10 Ouster
11.11 Phoenix LiDAR Systems
11.12 Quantum Systems
11.13 RIEGL
11.14 Routescene
11.15 SZ DJI Technology Co. Ltd
11.16 Topcon Corporation
11.17 UMS Skeldar
11.18 Wingtra
11.19 YellowScan
11.20 Yuneec