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全球天气预报激光雷达市场 - 2023-2030 年
市场调查报告书
商品编码
1316228

全球天气预报激光雷达市场 - 2023-2030 年

Global Lidar For Weather Forecasting Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 约2个工作天内

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简介目录

市场概述

全球天气预报激光雷达市场规模在 2022 年达到 6.3 亿美元，预计到 2030 年将达到 24.49 亿美元，2023-2030 年的年复合增长率为 18.5%。在预测期内，激光雷达与其他天气监测技术的整合预计将推动全球天气预报激光雷达市场的增长。

气象激光雷达通常与其他气象监测技术（如气象雷达、卫星和地面传感器）集成，以提供对大气条件的全面了解。这种集成提高了气象监测的准确性和覆盖范围，从而推动了对气象激光雷达解决方案的需求。

此外，在恶劣天气条件下集成激光雷达为自动驾驶汽车提供制导的想法也越来越受到重视。2023 年 5 月，汽车激光雷达供应商 Webasto 与汽车车顶系统制造商 Canatu 签订协议，将激光雷达集成到自动驾驶汽车的车顶上，以便在恶劣天气条件下提供更好的测绘和可视性。

市场动态

适应气候变化和全球变暖

气候变化和全球变暖导致飓风、风暴和极端温度变化等恶劣天气事件更加频繁发生。气象激光雷达技术通过提供准确、详细的气象数据，在监测和了解这些变化方面发挥着至关重要的作用。这些信息对于制定有效战略以减轻由此引发的天气事件对生命和财产造成的损害至关重要。

气象激光雷达系统为气候研究和建模工作提供了宝贵的数据。这些系统提供有关大气条件、风型和气溶胶浓度的详细信息，有助于科学家了解气候变化动态。这些知识有助于完善气候模型，改进未来气候预测，并指导政府决策者制定有效的适应战略。

对特定地点天气信息的需求日益增长

特定地点的天气信息对石油天然气、航空和公用事业等各行业的决策至关重要。气象激光雷达技术可提供详细的本地化气象数据，包括风速、风向、温度曲线和大气条件。这种精确度使企业和组织能够针对其运营地点（如风电场、海上油气田、发电厂、机场和农田）做出明智的决策。

特定地点的天气信息对风险管理和安全至关重要。特定地点的天气信息有助于规划作业、管理后勤以及确保人员和资产的安全。气象激光雷达系统可提供实时和本地化的数据，使企业能够做出与风险缓解和安全协议相关的明智决策。

特定地点的天气信息对于农业作业和作物管理至关重要。农民和农学家依靠准确的本地化气象数据来优化灌溉、评估作物健康状况和管理病虫害防治。气象激光雷达系统可以提供有关特定地点天气条件的宝贵信息，帮助农民做出数据驱动的决策，以提高作物产量、减少用水量并提高农业的整体可持续性。

激光雷达系统成本高昂

天气预报激光雷达系统涉及大量前期费用，用于采购激光雷达设备、传感器、数据处理系统和相关基础设施。这些成本包括购买或租赁激光雷达设备、安装和校准费用以及与现有气象网络的集成费用。部署气象激光雷达所需的高额初始投资可能会成为一个障碍，特别是对于小规模或预算有限的组织而言。

气象激光雷达系统需要持续维护、校准和定期数据质量检查，以确保性能准确可靠。在激光雷达系统的整个运行周期内，与维护和保养（包括传感器校准、软件更新和硬件维修）相关的费用可能会很高。这些经常性开支增加了总体拥有成本，可能会给预算有限的组织带来财务挑战。

COVID-19 影响分析

COVID-19 大流行对全球天气预报激光雷达市场产生了重大影响。由于大流行病造成的经济不确定性，许多气象激光雷达项目和投资被搁置或推迟。包括可再生能源开发商和政府机构在内的组织机构面临预算限制，并重新调整了支出优先次序，从而影响了气象激光雷达技术的采用。

大流行病凸显了远程监控和操作的重要性。气象激光雷达系统具有远程收集数据的能力，成为监测天气状况和保持天气预报连续性的重要工具。尽量减少人工干预和远程访问的需求推动了对激光雷达解决方案的需求。

人工智能影响分析

人工智能驱动的分析和优化算法可提高风能运行的性能。通过将气象激光雷达数据与风机性能数据相结合，人工智能算法可以优化风机设置、预测维护需求并最大限度地提高能源生产。人工智能驱动的系统可为风电场运营商提供高效决策，从而提高盈利能力。

人工智能技术增强了气象建模和模拟能力。通过利用气象激光雷达数据和历史观测数据，人工智能算法可以完善气象模型，提高模拟的准确性。这样就能更好地理解和预测天气现象，有助于气候研究、备灾和城市规划。

乌克兰-俄罗斯战争的影响

乌克兰和俄罗斯之间的持续冲突对全球天气预报激光雷达市场产生了重大影响。这两个国家都是用于生产激光雷达系统中各种电子元件的惰性气体的主要供应国。供应中断可能会给激光雷达系统的生产带来短期和中期的影响。

欧洲国家和美国对俄罗斯实施了广泛的经济制裁，导致西方国家停止向俄罗斯提供技术产品。这导致俄罗斯公司对天气预报激光雷达系统的需求崩溃。许多俄罗斯公司转向国际灰色市场采购激光雷达技术。

目 录

第 1 章：研究方法与范围

  • 研究方法
  • 报告的研究目标和范围

第2章：定义和概述

第 3 章：执行摘要

  • 按类型分類的片段
  • 按组件分類的片段
  • 按预测划分
  • 按地区分类

第四章：动态

  • 影响因素
    • 驱动因素
      • 适应气候变化和全球变暖
      • 对特定地点天气信息的需求日益增长
    • 限制因素
      • 激光雷达系统成本高昂
    • 机会
    • 影响分析

第 5 章：行业分析

  • 波特五力分析法
  • 供应链分析
  • 定价分析
  • 监管分析

第 6 章：COVID-19 分析

  • COVID-19 分析
    • COVID 之前的情况
    • COVID 期间的情景
    • COVID 后的情景
  • COVID-19 期间的定价动态
  • 供求关系
  • 大流行期间与市场相关的政府倡议
  • 制造商的战略倡议
  • 结论

第 7 章：按类型划分

  • 地面
  • 空中
  • 移动式
  • 短程

第 8 章：按组件

  • 激光
  • 惯性导航系统
  • 照相机
  • 全球定位系统
  • 微电子机械系统

第 9 章：预测

  • 即时预报
  • 短程
  • 中程
  • 远程
  • 远程

第 10 章：按地区划分

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 亚太其他地区
  • 中东和非洲

第 11 章 ：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 合併与收购分析

第十二章 ：公司简介

  • Vaisala
    • 公司概况
    • 类型组合和描述
    • 财务概况
    • 近期发展
  • FARO
  • Aerometrex
  • Kemira OYJ
  • Sick AG
  • SureStar
  • Hexagon AB
  • Teledyne Geospatial
  • Velodyne Lidar, Inc.
  • YellowScan

第 13 章 ：附录

简介目录
Product Code: ICT6511

Market Overview

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.

Market Dynamics

Adaption to Climate Change and Global Warming

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.

Increasing Demand For Site-Specific Weather Information

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.

High Costs of Lidar Systems

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.

COVID-19 Impact Analysis

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 Impact Analysis

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.

Ukraine-Russia War Impact

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.

Segment Analysis

The global diamond art painting market is segmented based on type, component, forecast and region.

Lasers are The Most Widely Utilized Component as They Form the Core of Lidar Technology

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.

Geographical Analysis

Increasing Renewable Energy Adoption is Expected to Propel Market Growth in Europe

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.

Competitive Landscape

The major global players include: Vaisala, FARO, Aerometrex, Kemira OYJ, Sick AG, SureStar, Hexagon AB, Teledyne Geospatial, Velodyne Lidar, Inc. and YellowScan.

Why Purchase the Report?

  • To visualize the global lidar for weather forecasting market segmentation based on type, component, forecast and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of diamond art painting market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as Excel consisting of key products of all the major players.

The global lidar for weather forecasting market report would provide approximately 57 tables, 62 figures and 180 Pages.

Target Audience 2023

  • Lidar Manufacturers
  • Weather Forecasting Companies
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Type
  • 3.2. Snippet by Component
  • 3.3. Snippet by Forecast
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Adaption to climate change and global warming
      • 4.1.1.2. Increasing Demand For Site-Specific Weather Information
    • 4.1.2. Restraints
      • 4.1.2.1. High costs of Lidar systems
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 7.1.2. Market Attractiveness Index, By Type
  • 7.2. Terrestrial*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Aerial
  • 7.4. Mobile
  • 7.5. Short Range

8. By Component

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 8.1.2. Market Attractiveness Index, By Component
  • 8.2. Laser*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Inertial Navigation System
  • 8.4. Camera
  • 8.5. GPS GNSS
  • 8.6. Micro electro mechanical system

9. By Forecast

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Forecast
    • 9.1.2. Market Attractiveness Index, By Forecast
  • 9.2. Nowcast*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Short-Range
  • 9.4. Medium-Range
  • 9.5. Extended-Range
  • 9.6. Long-Range

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Forecast
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.6.1. U.S.
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Forecast
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.6.1. Germany
      • 10.3.6.2. UK
      • 10.3.6.3. France
      • 10.3.6.4. Italy
      • 10.3.6.5. Spain
      • 10.3.6.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Forecast
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1. Brazil
      • 10.4.6.2. Argentina
      • 10.4.6.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Forecast
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1. China
      • 10.5.6.2. India
      • 10.5.6.3. Japan
      • 10.5.6.4. Australia
      • 10.5.6.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Forecast
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. Vaisala*
    • 12.1.1. Company Overview
    • 12.1.2. Type Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Recent Developments
  • 12.2. FARO
  • 12.3. Aerometrex
  • 12.4. Kemira OYJ
  • 12.5. Sick AG
  • 12.6. SureStar
  • 12.7. Hexagon AB
  • 12.8. Teledyne Geospatial
  • 12.9. Velodyne Lidar, Inc.
  • 12.10. YellowScan

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us