LiDAR Sensor Sector: Growth Drivers and Restraints
Growth Drivers
- Rise in public sector investment: The booming investments in infrastructure development projects across the world are accelerating the LiDAR sensor trade. Governments are investing heavily in digital transformation to enhance the country’s position on a global scale. Between 2023 and 2026, the U.S. Department of Commerce aims to invest over USD 500.5 million in the development of smart infrastructure. The public-private investments in urban planning and disaster management are projected to increase the deployment of LiDAR technologies during the foreseeable period.
- Increasing importance of industrial automation: The industrial automation trend is foreseen to create a profitable environment for LiDAR sensor manufacturers. the robotics and automation needs in the warehousing, manufacturing, and logistics sectors are set to increase the application of LiDAR sensing technologies. the B2B solution providers are increasingly investing in LiDAR sensors, particularly for forklifts and robotic arms. Considering the leadership in technological innovations, Japan and South Korea are estimated to dominate the sales of LiDAR sensors in the coming years.
Technological Innovations in the LiDAR Sensor Market
The smart city developments are set to fuel the adoption of advanced LiDAR sensor technologies during the study period. The robotics and automation needs are encouraging end users to invest in LiDAR sensor systems. The table below represents the adoption and results of technologically advanced LiDAR sensors.
|
Technological Trend |
Sector |
Company |
Technology Use Case |
Impact/Metric |
|
AI-Integrated LiDAR |
Automotive |
Cruise (GM) |
Real-time object classification |
22.5% reduction in detection latency |
|
FMCW LiDAR Adoption |
Mobility & AV |
Aurora Innovation |
High-speed object tracking |
Improved detection at 210+ meters |
|
Sensor Miniaturization |
Telecom |
Ericsson |
Infrastructure mapping for 5G tower placements |
17.3% site selection efficiency gain |
AL and ML Integration in LiDAR Sensor Market
The digital transformation trend is projected to increase the sales of LiDAR sensor technologies in the years ahead. The capability of AI and ML in enhancing operational efficiency is boosting their use in LiDAR sensor production. Follow the table below to understand the role of AI and ML in LiDAR sensor technology.
|
Company |
Integration of AI & Machine Learning |
Outcome |
|
Velodyne Lidar |
AI-driven product simulation for automotive-grade sensors |
21.3% cut in time-to-market |
|
Innoviz Technologies |
ML-based sensor calibration and automated testing pipeline |
18.5% decrease in development costs |
|
Aeva |
AI-powered supply chain forecasting and logistics modeling |
14.4% fall in supply chain costs |
Challenges
- Infrastructure and connectivity gaps: The poor infrastructure and connectivity networks are expected to limit the sales of LiDAR sensors in the budget-constrained markets. The lack of digital infrastructure hinders the growth of smart city projects, which is estimated to negatively influence the sales of LiDAR sensing technologies. These solutions are used in the energy infrastructure and are costly to install and maintain. The governments in the price-sensitive markets often refrain from investing in advanced technologies that affect the overall market growth.
- Regulatory fragmentation: The uncertainty in regulations across different regions is creating a challenge for the revenue growth of LiDAR sensor manufacturers. The regulatory fragmentation is leading to delays in new product launches, which directly affects the pockets of manufacturers as they cannot earn from the latest trends. The redesign of the product as per regulations across regions adds costs to the overall production, limiting the sales of LiDAR sensors.
LiDAR Sensor Market: Key Insights
|
Base Year |
2024 |
|
Forecast Year |
2025-2037 |
|
CAGR |
14.8% |
|
Base Year Market Size (2024) |
USD 2.4 billion |
|
Forecast Year Market Size (2037) |
USD 13.7 billion |
|
Regional Scope |
|