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衛星野火建模市場預測（至 2032 年）：按解決方案類型、衛星類型、技術、部署模式、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球基於衛星的野火建模市場預計在 2025 年達到 2.8625 億美元，到 2032 年將達到 7.3855 億美元，預測期內的複合年成長率為 14.5%。

衛星野火建模是指利用基於衛星的遙感探測技術和計算模型來探測、監測和預測野火行為。透過分析植被覆蓋、溫度、風向和燃料狀況等數據，這些模型可以即時洞察野火蔓延、強度和潛在風險。這項技術支援災害管理、環境保護和消防工作，使當局能夠做出明智的決策，最大限度地減少對生態系統和人類的影響。

全球野火發生頻率不斷增加

全球野火的增多推動了對先進監測和建模工具的需求。氣候變遷、持續乾旱和植被格局的變化導致火災更加頻繁和嚴重。各國政府和環保機構正在優先考慮早期探測系統，以減輕生態學和經濟損失。基於衛星的野火建模提供即時洞察，從而實現更快的反應和資源分配。隨著火災易發區域的擴大，對可擴展預測技術的需求日益迫切。這種日益嚴重的環境威脅正在推動對衛星影像和遙感解決方案的投資。

衛星部署和維護成本高昂

建造和部署衛星基礎設施需要大量資金，這往往限制了資金雄厚的機構和政府的參與。地面站管理和資料處理等營運成本也增加了複雜性。這些費用可能會抑制小型業者的發展，並減緩野火建模應用的創新。此外，衛星較長的生命週期和不靈活的升級路徑阻礙了其快速適應不斷變化的火災動態。因此，成本限制繼續限制更廣泛的市場滲透和擴充性。

整合人工智慧和機器學習進行預測建模

人工智慧和機器學習正在透過提高數據解讀和預測準確性，徹底改變野火預測。這些技術透過分析衛星影像、天氣模式和植被指數來預測火災的發生。預測演算法能夠提前評估風險，使相關人員能夠更有效地分配資源。人工智慧的整合還支援自動異常檢測，減少對人工監控的依賴。隨著資料集變得越來越複雜，機器學習模型對於即時決策至關重要。衛星資料與智慧分析的融合正在為野火管理開闢新的天地。

網路安全風險與資料外洩

對衛星系統和雲端基礎分析的日益依賴，使其更容易受到網路攻擊。未授權存取野火建模平台可能會洩漏敏感的環境數據，並擾亂緊急應變工作。駭客攻擊衛星通訊頻道，對資料完整性和系統可靠性構成風險。此外，資料外洩還可能損害公眾信任，並阻礙對數位野火解決方案的投資。隨著衛星網路的擴展，確保強大的網路安全通訊協定至關重要。威脅情勢瞬息萬變，需要持續升級以保護關鍵任務基礎設施。

COVID-19的影響

疫情擾亂了衛星部署計劃，並推遲了野火建模系統的實地檢驗。旅行限制和供應鏈中斷影響了硬體採購和發射計劃。然而，新冠疫情加速了遙感探測和雲端基礎分析技術的普及，從而實現了分散式監測。各機構紛紛轉向衛星平台，確保在停工後繼續進行環境監測。這場危機也凸顯了韌性強、自動化系統對於災難準備的重要性。

預計衛星成像和遙感探測領域將成為預測期內最大的領域

預計在預測期內，衛星影像和遙感探測領域將佔據最大的市場佔有率，這得益於高光譜遙測影像和頻譜影像、熱成像以及人工智慧驅動的視覺模型等尖端遙感探測技術。值得關注的趨勢包括部署機器學習工具（例如支援向量機）以快速識別火災，以及使用植被指數（例如NDFI）來獲得複雜的頻譜洞察。最近的突破包括自主衛星平台和深度學習技術，這些技術可提高影像清晰度和偵測精度，從而支援更有效的野火預測和緩解策略。

預計商業林業和保險部門在預測期內將以最高的複合年成長率成長

預計商業林業和保險領域將在預測期內實現最高成長率，這得益於對精確火災風險建模和損失緩解的需求。衛星數據使這些相關人員能夠監測森林健康狀況、評估脆弱性並最佳化資源配置。保險公司正在利用預測分析來改善承保和索賠處理。林業管理人員正在利用遙感探測制定防火計畫並評估火災後的恢復情況。隨著氣候變遷的加劇，這些產業正在大力投資基於衛星的解決方案。對數據主導決策的日益依賴正在推動市場的快速擴張。

比最大的地區

由於野火風險上升、氣候不穩定以及對快速反應系統的需求，預計亞太地區將在預測期內佔據最大市場佔有率。衛星熱成像、地理空間測繪和人工智慧預測等先進技術處於領先地位。值得關注的趨勢包括基於無人機的監控、雲端原生分析以及用於增強預測的整合感測器網路。區域政府和私營部門相關人員正在加大對地球觀測基礎設施和協作平台的投資，推動野火探測、預防和復原策略的創新。

複合年成長率最高的地區：

受野火頻傳、氣候相關威脅以及快速反應解決方案的迫切性推動，北美預計將在預測期內呈現最高的複合年成長率。關鍵技術包括衛星熱感成像、地理空間情報和人工智慧預測工具。值得關注的趨勢包括無人機監控、雲端整合系統和即時感測器融合。公私合作投資衛星基礎設施、部署專用於野火的衛星星座以及用於早期檢測的機器學習演算法是關鍵進展，這些進展將增強區域防範能力並提升野火管理能力。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球衛星野火建模市場（依解決方案類型）

  • 衛星影像和遙感探測
  • 預警系統
  • 熱量和紅外線檢測
  • 綜合消防管理平台
  • 數據分析和預測模型

6. 全球基於衛星的野火建模市場（依衛星類型）

  • 低地球軌道（LEO）
  • 地球靜止軌道（GEO）
  • 中軌道（MEO）

7. 全球衛星野火建模市場（依技術）

  • 遙感探測
  • 雲端運算和巨量資料分析
  • 地理資訊系統（GIS）
  • 人工智慧和機器學習（AI/ML）

8. 全球基於衛星的野火建模市場（依部署模式）

  • 本地部署
  • 雲端基礎

9. 全球衛星野火建模市場（按應用）

  • 森林管理與保護
  • 城市-荒地界面風險評估
  • 災害應變與減災
  • 環境監測
  • 其他用途

第 10 章。全球衛星野火建模市場（按最終用戶）

  • 政府機構
  • 商業林業和保險公司
  • 環境非政府組織
  • 研究和學術機構

11. 全球衛星野火建模市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：企業概況

  • 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.