PUBLISHER: DataM Intelligence | PRODUCT CODE: 1316228
PUBLISHER: DataM Intelligence | PRODUCT CODE: 1316228
Global Lidar For Weather Forecasting Market reached US$ 630 million in 2022 and is expected to reach US$ 2,449 million by 2030, growing with a CAGR of 18.5% during the forecast period 2023-2030. During the forecast period, the integration of lidar with other weather monitoring technologies is expected to write the growth of the global lidar for weather forecasting market.
Weather lidar is often being integrated with other weather monitoring technologies, such as weather radars, satellites and ground-based sensors, to provide a comprehensive understanding of atmospheric conditions. The integration enhances the accuracy and coverage of weather monitoring, driving the demand for weather LiDAR solutions.
Furthermore, the idea of integrating lidar for guidance of autonomous vehicles in harsh weather conditions is also gaining traction. In May 2023, automotive lidar vendor Webasto signed an agreement with Canatu, a manufacturer of automotive roofing systems, to integrate lidar in autonomous vehicle roofs to provide better mapping and visibility during harsh weather conditions.
Climate change and global warming have resulted in more frequent and severe weather events, including hurricanes, storms and extreme temperature variations. Weather lidar technology plays a crucial role in monitoring and understanding these changes by providing accurate and detailed weather data. The information is essential for developing effective strategies to mitigate damage to life and property from resulting weather events.
Weather LiDAR systems contribute valuable data for climate research and modeling efforts. The systems provide detailed information about atmospheric conditions, wind patterns and aerosol concentrations, supporting scientists in understanding climate change dynamics. The knowledge helps refine climate models, improve future climate projections and guides government policymakers in developing effective adaptation strategies.
Site-specific weather information is crucial for various industries such as oil and gas, aviation and utilities for decision-making. Weather lidar technology provides detailed and localized weather data, including wind speed, direction, temperature profiles and atmospheric conditions. This level of accuracy enables businesses and organizations to make informed decisions specific to their operational sites such as wind farms, offshore oil and gas sites, power plants, airports and agricultural fields.
Site-specific weather information is crucial for risk management and safety purposes. Site-specific weather information helps in planning operations, managing logistics and ensuring the safety of personnel and assets. Weather lidar systems provide real-time and localized data, allowing organizations to make informed decisions related to risk mitigation and safety protocols.
Site-specific weather information is essential for agricultural operations and crop management. Farmers and agronomists rely on accurate and localized weather data to optimize irrigation, assess crop health and manage pest control. Weather lidar systems provide valuable insights into site-specific weather conditions, helping farmers make data-driven decisions to enhance crop yields, reduce water usage and improve overall agricultural sustainability.
Weather forecasting lidar systems involve substantial upfront costs for the procurement of lidar equipment, sensors, data processing systems and associated infrastructure. These costs include the purchase or lease of lidar devices, installation and calibration expenses and integration with existing meteorological networks. The high initial investment required for weather lidar deployment can be a barrier, especially for small-scale or budget-constrained organizations.
Weather LiDAR systems require ongoing maintenance, calibration and regular data quality checks to ensure accurate and reliable performance. The costs associated with maintenance and servicing, including sensor calibration, software updates and hardware repairs, can be significant over the operational lifetime of the LiDAR system. The recurring expenses add to the overall cost of ownership and may pose financial challenges for organizations with limited budgets.
The COVID-19 pandemic had major impact on the global lidar for weather forecasting market. Many weather lidar projects and investments were put on hold or delayed due to the economic uncertainties caused by the pandemic. Organizations, including renewable energy developers and government agencies, faced budget constraints and re-prioritized their expenditures, impacting the adoption of weather lidar technology.
The pandemic highlighted the importance of remote monitoring and operations. Weather lidar systems, with their ability to collect data remotely, became valuable tools for monitoring weather conditions and maintaining continuity in weather forecasting. The need for minimal human intervention and remote accessibility drove the demand for lidar solutions.
AI-driven analytics and optimization algorithms enhance the performance of wind energy operations. By combining weather lidar data with turbine performance data, AI algorithms can optimize turbine settings, predict maintenance needs and maximize energy production. AI-powered systems enable efficient decision-making for wind farm operators, leading to increased profitability.
AI techniques enhance weather modeling and simulation capabilities. By leveraging weather LiDAR data and historical observations, AI algorithms can refine weather models and improve the accuracy of simulations. This enables better understanding and prediction of weather phenomena, aiding in climate research, disaster preparedness and urban planning.
The ongoing conflict between Ukraine and Russia has had major implications for the global lidar for weather forecasting market. Both the countries were major suppliers of noble gases used in the production of various electronic components used in lidar systems. The disruption of their supplies is likely to cause short and medium-term complications in production of lidar systems.
European countries and U.S. have imposed wide-ranging economic sanctions on Russia, which led to the stoppage of western technology products to Russia. It has led to a collapse in demand for weather forecasting lidar systems by Russia-based companies. Many Russian companies are turning towards the international grey market to procure lidar technology.
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Lidar (Light Detection and Ranging) is a remote sensing technology that uses light to measure distances and create detailed maps or 3D representations of objects or environments. The most crucial component of a lidar system is the laser. Lasers emit coherent light, meaning the light waves are in phase and have a well-defined wavelength. This coherence allows for precise measurement of the time it takes for the light to travel to an object and back, enabling accurate distance measurements.
Lasers produce highly focused beams of light that can travel long distances without significant divergence. The long-range capability is crucial for lidar systems to effectively capture data over large areas or in challenging environments. Furthermore, lasers provide high-energy pulses of light, which enables lidar systems to penetrate through dense foliage, clouds, or other atmospheric conditions.
Europe has been at the forefront of renewable energy adoption, particularly in offshore wind power. According to WindEurope, the region currently had a wind generation capacity of 255 GW in 2022 and is expected to install 129 GW of new capacity over a three year period from 2023-2027. Weather lidar plays a crucial role in wind resource assessment, wind farm planning and optimization.
European countries foster collaboration among industry stakeholders, research institutions and government agencies to promote the adoption and advancement of weather forecasting lidar technology. Collaborative projects and initiatives focus on developing standards, sharing best practices and driving innovation in the field of weather forecasting lidar. For instance, in June 2022, a team of researchers from ETH Zurich in Switzerland, published a research paper documenting the usage of snowfall simulation to improve the 3D detection capabilities of weather forecasting lidar technology.
The major global players include: Vaisala, FARO, Aerometrex, Kemira OYJ, Sick AG, SureStar, Hexagon AB, Teledyne Geospatial, Velodyne Lidar, Inc. and YellowScan.
The global lidar for weather forecasting market report would provide approximately 57 tables, 62 figures and 180 Pages.
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