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市场调查报告书
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1813264

卫星野火建模市场预测（至 2032 年）：按解决方案类型、卫星类型、技术、部署模式、应用、最终用户和地区进行的全球分析

Satellite Wildfire Modeling Market Forecasts to 2032 - Global Analysis By Solution Type, Satellite Type, Technology, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球基于卫星的野火建模市场预计在 2025 年达到 2.8625 亿美元，到 2032 年将达到 7.3855 亿美元，预测期内的复合年增长率为 14.5%。

卫星野火建模是指利用基于卫星的遥感探测技术和计算模型来探测、监测和预测野火行为。透过分析植被覆盖、温度、风向和燃料状况等数据，这些模型可以即时洞察野火蔓延、强度和潜在风险。这项技术支援灾害管理、环境保护和消防工作，使当局能够做出明智的决策，最大限度地减少对生态系统和人类的影响。

全球野火发生频率不断增加

全球野火的增多推动了对先进监测和建模工具的需求。气候变迁、持续干旱和植被格局的变化导致火灾更加频繁和严重。各国政府和环保机构正在优先考虑早期探测系统，以减轻生态学和经济损失。基于卫星的野火建模提供即时洞察，从而实现更快的反应和资源分配。随着火灾易发区域的扩大，对可扩展预测技术的需求日益迫切。这种日益严重的环境威胁正在推动对卫星影像和遥感解决方案的投资。

卫星部署和维护成本高昂

建造和部署卫星基础设施需要大量资金，这往往限制了资金雄厚的机构和政府的参与。地面站管理和资料处理等营运成本也增加了复杂性。这些费用可能会抑制小型业者的发展，并减缓野火建模应用的创新。此外，卫星较长的生命週期和不灵活的升级路径阻碍了其快速适应不断变化的火灾动态。因此，成本限制继续限制更广泛的市场渗透和扩充性。

整合人工智慧和机器学习进行预测建模

人工智慧和机器学习正在透过提高数据解读和预测准确性，彻底改变野火预测。这些技术透过分析卫星影像、天气模式和植被指数来预测火灾的发生。预测演算法能够提前评估风险，使相关人员能够更有效地分配资源。人工智慧的整合还支援自动异常检测，减少对人工监控的依赖。随着资料集变得越来越复杂，机器学习模型对于即时决策至关重要。卫星资料与智慧分析的融合正在为野火管理开闢新的天地。

网路安全风险与资料外洩

对卫星系统和云端基础分析的日益依赖，使其更容易受到网路攻击。未授权存取野火建模平台可能会洩漏敏感的环境数据，并扰乱紧急应变工作。骇客攻击卫星通讯频道，对资料完整性和系统可靠性构成风险。此外，资料外洩还可能损害公众信任，并阻碍对数位野火解决方案的投资。随着卫星网路的扩展，确保强大的网路安全通讯协定至关重要。威胁情势瞬息万变，需要持续升级以保护关键任务基础设施。

COVID-19的影响

疫情扰乱了卫星部署计划，并推迟了野火建模系统的实地检验。旅行限制和供应链中断影响了硬体采购和发射计划。然而，新冠疫情加速了遥感探测和云端基础分析技术的普及，从而实现了分散式监测。各机构纷纷转向卫星平台，确保在停工后继续进行环境监测。这场危机也凸显了韧性强、自动化系统对于灾难准备的重要性。

预计卫星成像和遥感探测领域将成为预测期内最大的领域

预计在预测期内，卫星影像和遥感探测领域将占据最大的市场份额，这得益于高光谱遥测影像和频谱影像、热成像以及人工智慧驱动的视觉模型等尖端遥感探测技术。值得关注的趋势包括部署机器学习工具（例如支援向量机）以快速识别火灾，以及使用植被指数（例如NDFI）来获得复杂的频谱洞察。最近的突破包括自主卫星平台和深度学习技术，这些技术可提高影像清晰度和侦测精度，从而支援更有效的野火预测和缓解策略。

预计商业林业和保险部门在预测期内将以最高的复合年增长率成长

预计商业林业和保险领域将在预测期内实现最高成长率，这得益于对精确火灾风险建模和损失缓解的需求。卫星数据使这些相关人员能够监测森林健康状况、评估脆弱性并优化资源配置。保险公司正在利用预测分析来改善承保和索赔处理。林业管理人员正在利用遥感探测制定防火计画并评估火灾后的恢復情况。随着气候变迁的加剧，这些产业正在大力投资基于卫星的解决方案。对数据主导决策的日益依赖正在推动市场的快速扩张。

比最大的地区

由于野火风险上升、气候不稳定以及对快速反应系统的需求，预计亚太地区将在预测期内占据最大市场份额。卫星热成像、地理空间测绘和人工智慧预测等先进技术处于领先地位。值得关注的趋势包括基于无人机的监控、云端原生分析以及用于增强预测的整合感测器网路。区域政府和私营部门相关人员正在加大对地球观测基础设施和协作平台的投资，推动野火探测、预防和復原策略的创新。

复合年增长率最高的地区：

受野火频传、气候相关威胁以及快速反应解决方案的迫切性推动，北美预计将在预测期内呈现最高的复合年增长率。关键技术包括卫星热感成像、地理空间情报和人工智慧预测工具。值得关注的趋势包括无人机监控、云端整合系统和即时感测器融合。公私合作投资卫星基础设施、部署专用于野火的卫星星座以及用于早期检测的机器学习演算法是关键进展，这些进展将增强区域防范能力并提升野火管理能力。

免费客製化服务：

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  • 区域细分
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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球卫星野火建模市场（依解决方案类型）

  • 卫星影像和遥感探测
  • 预警系统
  • 热量和红外线检测
  • 综合消防管理平台
  • 数据分析和预测模型

6. 全球基于卫星的野火建模市场（依卫星类型）

  • 低地球轨道（LEO）
  • 地球静止轨道（GEO）
  • 中轨道（MEO）

7. 全球卫星野火建模市场（依技术）

  • 遥感探测
  • 云端运算和巨量资料分析
  • 地理资讯系统（GIS）
  • 人工智慧和机器学习（AI/ML）

8. 全球基于卫星的野火建模市场（依部署模式）

  • 本地部署
  • 云端基础

9. 全球卫星野火建模市场（按应用）

  • 森林管理与保护
  • 城市-荒地界面风险评估
  • 灾害应变与减灾
  • 环境监测
  • 其他用途

第 10 章。全球卫星野火建模市场（按最终用户）

  • 政府机构
  • 商业林业和保险公司
  • 环境非政府组织
  • 研究和学术机构

11. 全球卫星野火建模市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：企业概况

  • Maxar Technologies
  • Mitiga Solutions
  • Planet Labs
  • Blue Sky Analytics
  • OroraTech
  • Umbra
  • Satellogic
  • Overstory
  • Capella Space
  • CARTO
  • Spire Global
  • Descartes Labs
  • Pano AI
  • Torch Sensors
  • IQ FireWatch
Product Code: SMRC30723

According to Stratistics MRC, the Global Satellite Wildfire Modeling Market is accounted for $286.25 million in 2025 and is expected to reach $738.55 million by 2032 growing at a CAGR of 14.5% during the forecast period. Satellite Wildfire Modeling refers to the use of satellite-based remote sensing technologies and computational models to detect, monitor, and predict the behavior of wildfires. By analyzing data such as vegetation cover, temperature, wind patterns, and fuel conditions, these models provide real-time insights into wildfire spread, intensity, and potential risks. This technology supports disaster management, environmental protection, and firefighting efforts, enabling authorities to make informed decisions and minimize ecological and human impacts.

Market Dynamics:

Driver:

Increasing frequency of wildfires globally

The rising incidence of wildfires worldwide is intensifying demand for advanced monitoring and modeling tools. Climate change, prolonged droughts, and shifting vegetation patterns are contributing to more frequent and severe fire outbreaks. Governments and environmental agencies are prioritizing early detection systems to mitigate ecological and economic damage. Satellite-based wildfire modeling offers real-time insights, enabling faster response and resource allocation. As fire-prone regions expand, the need for scalable, predictive technologies is becoming urgent. This growing environmental threat is propelling investment into satellite imaging and remote sensing solutions.

Restraint:

High costs of satellite deployment and maintenance

Building and deploying satellite infrastructure requires substantial capital, often limiting access to well-funded institutions or governments. Operational costs, including ground station management and data processing, add to the complexity. These expenses can deter smaller players and slow innovation in wildfire modeling applications. Additionally, the long lifecycle and inflexible upgrade paths of satellites hinder rapid adaptation to evolving fire dynamics. As a result, cost constraints continue to restrict broader market penetration and scalability.

Opportunity:

Integration of AI and machine learning for predictive modeling

AI and machine learning are revolutionizing wildfire prediction by enhancing data interpretation and forecasting accuracy. These technologies can analyze satellite imagery, weather patterns, and vegetation indices to anticipate fire outbreaks. Predictive algorithms enable proactive risk assessment, allowing stakeholders to allocate resources more efficiently. The integration of AI also supports automated anomaly detection, reducing reliance on manual monitoring. As datasets grow in complexity, machine learning models are becoming indispensable for real-time decision-making. This convergence of satellite data and intelligent analytics is unlocking new frontiers in wildfire management.

Threat:

Cybersecurity risks and data breaches

The increasing reliance on satellite systems and cloud-based analytics introduces vulnerabilities to cyberattacks. Unauthorized access to wildfire modeling platforms can compromise sensitive environmental data and disrupt emergency response operations. Hackers targeting satellite communication channels pose risks to data integrity and system reliability. Moreover, breaches can erode public trust and deter investment in digital wildfire solutions. As satellite networks expand, ensuring robust cybersecurity protocols becomes critical. The threat landscape is evolving rapidly, necessitating continuous upgrades to safeguard mission-critical infrastructure.

Covid-19 Impact

The pandemic disrupted satellite deployment schedules and delayed field validation efforts for wildfire modeling systems. Travel restrictions and supply chain interruptions affected hardware procurement and launch timelines. However, Covid-19 also accelerated the adoption of remote sensing and cloud-based analytics, enabling decentralized monitoring. Agencies turned to satellite platforms for continuity in environmental surveillance amid lockdowns. The crisis highlighted the importance of resilient, automated systems for disaster preparedness.

The satellite imaging & remote sensing segment is expected to be the largest during the forecast period

The satellite imaging & remote sensing segment is expected to account for the largest market share during the forecast period, fuelled by cutting-edge remote sensing innovations like hyperspectral and multispectral imaging, thermal detection, and AI-driven vision models. Notable trends include the deployment of machine learning tools such as support vector machines for swift fire identification and the use of vegetation indices like NDFI for refined spectral insights. Recent breakthroughs feature autonomous satellite platforms and deep learning techniques that enhance image clarity and detection precision, supporting more effective wildfire prediction and mitigation strategies.

The commercial forestry & insurance firms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the commercial forestry & insurance firms segment is predicted to witness the highest growth rate, driven by their need for accurate fire risk modeling and loss mitigation. Satellite data enables these stakeholders to monitor forest health, assess vulnerability, and optimize resource allocation. Insurers are leveraging predictive analytics to refine underwriting and claims processing. Forestry operators use remote sensing to plan firebreaks and evaluate post-fire recovery. As climate volatility increases, these sectors are investing heavily in satellite-based solutions. Their growing reliance on data-driven decision-making is fueling rapid market expansion.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to escalating wildfire risks, climate instability, and the demand for rapid response systems. Advanced technologies such as satellite-based thermal imaging, geospatial mapping, and AI-driven forecasting are at the forefront. Notable trends include drone-assisted surveillance, cloud-native analytics, and integrated sensor networks for enhanced prediction. Regional governments and private stakeholders are ramping up investments in Earth observation infrastructure and collaborative platforms, driving innovation in wildfire detection, preparedness, and resilience strategies.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to increasing wildfire events, climate-related threats, and the urgency for fast-response solutions. Leading technologies include satellite thermal imaging, geospatial intelligence, and AI-powered forecasting tools. Noteworthy trends involve drone-enabled monitoring, cloud-integrated systems, and real-time sensor fusion. Significant advancements include joint public-private investments in satellite infrastructure, deployment of wildfire-focused constellations, and machine learning algorithms for early detection collectively enhancing regional preparedness and transforming wildfire management capabilities.

Key players in the market

Some of the key players profiled in the Satellite Wildfire Modeling Market include Maxar Technologies, Mitiga Solutions, Planet Labs, Blue Sky Analytics, OroraTech, Umbra, Satellogic, Overstory, Capella Space, CARTO, Spire Global, Descartes Labs, Pano AI, Torch Sensors, and IQ FireWatch.

Key Developments:

In July 2025, OroraTech USA has announced a strategic partnership with Opterrix, a next-generation risk intelligence platform built for the insurance industry. Through this collaboration, OroraTech's real-time wildfire hotspot data and AI Fire Spread simulations will be integrated directly into Opterrix's geospatial platform, enhancing situational awareness for insurers and enabling proactive engagement with policyholders at risk.

In June 2025, Maxar Intelligence announced the launch of Sentry(TM), a first-of-its-kind persistent monitoring solution that delivers strategic operational and threat intelligence at global scale for a real-time decision advantage. Sentry integrates AI-powered capabilities unique to Maxar including multi-source constellation orchestration, geospatial fusion, and advanced machine learning models for automated analytics to deliver a new level of closed-loop spatial intelligence.

Solution Types Covered:

  • Satellite Imaging & Remote Sensing
  • Early Warning Systems
  • Thermal & Infrared Detection
  • Integrated Fire Management Platforms
  • Data Analytics & Predictive Modeling

Satellite Types Covered:

  • Low Earth Orbit (LEO)
  • Geostationary Orbit (GEO)
  • Medium Earth Orbit (MEO)

Technologies Covered:

  • Remote Sensing
  • Cloud Computing & Big Data Analytics
  • Geographic Information Systems (GIS)
  • Artificial Intelligence & Machine Learning (AI/ML)

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Applications Covered:

  • Forest Management & Conservation
  • Urban-Wildland Interface Risk Assessment
  • Disaster Response & Mitigation
  • Environmental Monitoring
  • Other Applications

End Users Covered:

  • Government Agencies
  • Commercial Forestry & Insurance Firms
  • Environmental NGOs
  • Research Institutes & Academia

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Satellite Wildfire Modeling Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Satellite Imaging & Remote Sensing
  • 5.3 Early Warning Systems
  • 5.4 Thermal & Infrared Detection
  • 5.5 Integrated Fire Management Platforms
  • 5.6 Data Analytics & Predictive Modeling

6 Global Satellite Wildfire Modeling Market, By Satellite Type

  • 6.1 Introduction
  • 6.2 Low Earth Orbit (LEO)
  • 6.3 Geostationary Orbit (GEO)
  • 6.4 Medium Earth Orbit (MEO)

7 Global Satellite Wildfire Modeling Market, By Technology

  • 7.1 Introduction
  • 7.2 Remote Sensing
  • 7.3 Cloud Computing & Big Data Analytics
  • 7.4 Geographic Information Systems (GIS)
  • 7.5 Artificial Intelligence & Machine Learning (AI/ML)

8 Global Satellite Wildfire Modeling Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 On-Premises
  • 8.3 Cloud-Based

9 Global Satellite Wildfire Modeling Market, By Application

  • 9.1 Introduction
  • 9.2 Forest Management & Conservation
  • 9.3 Urban-Wildland Interface Risk Assessment
  • 9.4 Disaster Response & Mitigation
  • 9.5 Environmental Monitoring
  • 9.6 Other Applications

10 Global Satellite Wildfire Modeling Market, By End User

  • 10.1 Introduction
  • 10.2 Government Agencies
  • 10.3 Commercial Forestry & Insurance Firms
  • 10.4 Environmental NGOs
  • 10.5 Research Institutes & Academia

11 Global Satellite Wildfire Modeling Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Maxar Technologies
  • 13.2 Mitiga Solutions
  • 13.3 Planet Labs
  • 13.4 Blue Sky Analytics
  • 13.5 OroraTech
  • 13.6 Umbra
  • 13.7 Satellogic
  • 13.8 Overstory
  • 13.9 Capella Space
  • 13.10 CARTO
  • 13.11 Spire Global
  • 13.12 Descartes Labs
  • 13.13 Pano AI
  • 13.14 Torch Sensors
  • 13.15 IQ FireWatch

List of Tables

  • Table 1 Global Satellite Wildfire Modeling Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Satellite Wildfire Modeling Market Outlook, By Solution Type (2024-2032) ($MN)
  • Table 3 Global Satellite Wildfire Modeling Market Outlook, By Satellite Imaging & Remote Sensing (2024-2032) ($MN)
  • Table 4 Global Satellite Wildfire Modeling Market Outlook, By Early Warning Systems (2024-2032) ($MN)
  • Table 5 Global Satellite Wildfire Modeling Market Outlook, By Thermal & Infrared Detection (2024-2032) ($MN)
  • Table 6 Global Satellite Wildfire Modeling Market Outlook, By Integrated Fire Management Platforms (2024-2032) ($MN)
  • Table 7 Global Satellite Wildfire Modeling Market Outlook, By Data Analytics & Predictive Modeling (2024-2032) ($MN)
  • Table 8 Global Satellite Wildfire Modeling Market Outlook, By Satellite Type (2024-2032) ($MN)
  • Table 9 Global Satellite Wildfire Modeling Market Outlook, By Low Earth Orbit (LEO) (2024-2032) ($MN)
  • Table 10 Global Satellite Wildfire Modeling Market Outlook, By Geostationary Orbit (GEO) (2024-2032) ($MN)
  • Table 11 Global Satellite Wildfire Modeling Market Outlook, By Medium Earth Orbit (MEO) (2024-2032) ($MN)
  • Table 12 Global Satellite Wildfire Modeling Market Outlook, By Technology (2024-2032) ($MN)
  • Table 13 Global Satellite Wildfire Modeling Market Outlook, By Remote Sensing (2024-2032) ($MN)
  • Table 14 Global Satellite Wildfire Modeling Market Outlook, By Cloud Computing & Big Data Analytics (2024-2032) ($MN)
  • Table 15 Global Satellite Wildfire Modeling Market Outlook, By Geographic Information Systems (GIS) (2024-2032) ($MN)
  • Table 16 Global Satellite Wildfire Modeling Market Outlook, By Artificial Intelligence & Machine Learning (AI/ML) (2024-2032) ($MN)
  • Table 17 Global Satellite Wildfire Modeling Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 18 Global Satellite Wildfire Modeling Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 19 Global Satellite Wildfire Modeling Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 20 Global Satellite Wildfire Modeling Market Outlook, By Application (2024-2032) ($MN)
  • Table 21 Global Satellite Wildfire Modeling Market Outlook, By Forest Management & Conservation (2024-2032) ($MN)
  • Table 22 Global Satellite Wildfire Modeling Market Outlook, By Urban-Wildland Interface Risk Assessment (2024-2032) ($MN)
  • Table 23 Global Satellite Wildfire Modeling Market Outlook, By Disaster Response & Mitigation (2024-2032) ($MN)
  • Table 24 Global Satellite Wildfire Modeling Market Outlook, By Environmental Monitoring (2024-2032) ($MN)
  • Table 25 Global Satellite Wildfire Modeling Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 26 Global Satellite Wildfire Modeling Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Satellite Wildfire Modeling Market Outlook, By Government Agencies (2024-2032) ($MN)
  • Table 28 Global Satellite Wildfire Modeling Market Outlook, By Commercial Forestry & Insurance Firms (2024-2032) ($MN)
  • Table 29 Global Satellite Wildfire Modeling Market Outlook, By Environmental NGOs (2024-2032) ($MN)
  • Table 30 Global Satellite Wildfire Modeling Market Outlook, By Research Institutes & Academia (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.