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到 2030 年自然災害偵測物聯網市場預測 - 依組件、通訊系統、用途、最終用戶和地區進行的全球分析
市場調查報告書
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1359031

到 2030 年自然災害偵測物聯網市場預測 - 依組件、通訊系統、用途、最終用戶和地區進行的全球分析

Natural Disaster Detection IoT Market Forecasts to 2030 - Global Analysis By Component, Communication System, 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預測，2023年全球自然災害偵測物聯網市場規模將達5億美元，預計2030年將達到44億美元，預測期內年複合成長率為34.1%。

自然災害偵測是利用物聯網（IoT）技術來監測和偵測地震、洪水、山火、颶風等各種自然災害。物聯網感測器和設備部署在災害多發地區，即時收集有關環境條件和地質活動的資料。分析這些資料可以幫助提供早期預警並促進快速應變工作，提高備災能力，最大限度地減少損失並拯救生命。

根據 GSMA Intelligence 發布的 2019 年行動經濟報告，到 2025 年，北美 46% 的連線將使用 5G 網路。

減少災害預警造成的損害及經濟損失

在災害多發地區部署物聯網感測器和監控系統可以提供早期預警和即時資料收集，幫助當局和社區為即將發生的自然災害（如颶風、洪水和野火）做好準備，從而能夠快速做出反應。這種及時的預警有助於及時疏散、保護基礎設施和分配資源，最終減少財產損失、生命損失和經濟影響。基於物聯網的災難偵測解決方案的成本效益進一步支持其採用，使其成為增強災難復原能力和最大限度減少此類事件的破壞性影響的重要工具。

物聯網設備漏洞

物聯網設備通常位於偏遠地區和惡劣環境中，因此容易受到物理損壞、網路中斷和網路攻擊。物聯網感測器和通訊基礎設施受到損害可能會破壞災害偵測和早期預警系統的可靠性和準確性，導致誤報和延遲回應。確保此類關鍵應用中物聯網設備的安全性、冗餘性和彈性對於維持自然災害偵測物聯網系統的可靠性和有效性以及解決這些漏洞至關重要。物聯網系統對於可靠的減災和響應至關重要。

使用人工智慧和資料分析工具進行預測分析

透過利用先進的機器學習演算法和資料分析，物聯網系統不僅可以偵測正在發生的災難，還可以更準確地預測潛在事件。這些工具可以分析歷史資料、環境模式和即時感測器資訊，以提供早期預警和可行的見解。這種積極主動的方法使當局和社區能夠更有效地做好準備，更有效地分配資源，並最大限度地減少自然災害的影響。透過人工智慧和資料分析結合預測分析將增強自然災害偵測物聯網的能力，最終挽救生命並減少災難性損失。

災區通訊中斷

物聯網感測器和設備對於資料收集和預警系統至關重要，但在地震或颶風等重大災難期間，網路連接可能會嚴重中斷。這些障礙可能會阻礙向當局和緊急應變及時傳輸關鍵資訊，並阻礙協調的救援和救濟工作。應對這項威脅需要強大的通訊冗餘、備用電源和彈性基礎設施，以確保即使在災難發生時資料流也不會中斷。克服這些課題對於最大限度地提高基於物聯網的災難偵測和回應系統的有效性至關重要。

COVID-19 的影響：

COVID-19 對自然災害偵測物聯網的負面影響主要是由後勤課題和資源限制造成的。封鎖和旅行限制擾亂了供應鏈，並減緩了災害監測所必需的物聯網設備和感測器的生產和部署。此外，針對流行病相關需求的預算重新分配減少了物聯網計畫的資金並影響了其實施。社交距離措施阻礙了設備維護和現場安裝，進一步阻礙了進展。然而，這場大流行凸顯了抗災偵測和回應系統的重要性，促使人們對物聯網解決方案的興趣和創新不斷增加。

預計硬體領域將在預測期內成為最大的領域

硬體領域預計將出現良好的成長。這些實體組件策略性地放置在災害多發地區，以收集有關環境條件、地質活動和其他相關參數的即時資料。地震儀、洪水感測器、氣象站和衛星通訊設備是這方面重要硬體的範例。這些組件在確保災害偵測和預警系統的準確性和可靠性方面發揮著至關重要的作用。硬體品質和耐用性對於承受惡劣的環境條件、提供及時的資料並最終實現主動的減災和應變工作至關重要。

洪水偵測領域預計在預測期內年複合成長率最高

預計洪水偵測領域在預測期內將出現最快的年複合成長率。這些感測器的功能通常類似於水位感測器或雨量計，持續收集有關降雨強度、水位和天氣狀況的資料。這些即時資料透過物聯網連接髮送到中央伺服器或雲端平台，並使用演算法進行分析，以檢測指示洪水的異常模式和閾值。一旦發現潛在洪水，就會發布預警，提醒當局和社區，以便他們及時採取疏散和防洪措施等行動。這種積極主動的方法顯著提高了防洪能力，並最大限度地減少了洪水對生命和財產的影響。

佔比最大的地區：

預計北美自然災害偵測物聯網市場在預測期內將繼續佔據大部分市場佔有率。其先進的技術基礎設施和強大的災害管理策略正在推動基於物聯網的早期預警和災害應變解決方案的廣泛採用。北美的政府、組織和社區正在利用物聯網感測器和監測系統來收集有關環境條件和地質活動的即時資料，從而採取主動措施來減少災害的影響。北美地區注重複原力和創新，在尖端自然災害偵測物聯網技術的開發和部署方面繼續處於領先地位。

複合年複合成長率最高的地區：

預計亞太地區在預測期內複合年複合成長率最高。許多亞洲國家的快速都市化和人口成長增加了這些事件的脆弱性。因此，亞太地區正在廣泛採用物聯網技術來加強預警系統和災害應變工作。物聯網感測器和監控設備提供有關地震活動、天氣模式和環境變化的即時資料，從而實現更有效的備災和及時疏散高風險社區。這種積極主動的做法有助於減少該地區自然災害的破壞性影響。

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目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球自然災害偵測物聯網市場：依組成部分

  • 硬體
  • 解決方案
    • 燈塔
    • 浮動感測器網路
    • 雷電探測系統
    • 聲學即時監測系統
    • 預警系統
    • 其他解決方案
  • 服務
    • 專業的服務
      • 諮詢
      • 部署與整合
      • 支援與維護
      • 訓練和模擬
    • 管理服務

第6章 全球自然災害偵測聯網市場：依通訊系統分類

  • 急救人員工具
  • 衛星支援設備
  • 車輛相容閘道器
  • 緊急應變雷達

第7章 全球自然災害偵測物聯網市場：依用途

  • 洪水檢測
  • 乾旱檢測
  • 野火檢測
  • 山體滑坡偵測
  • 地震偵測
  • 天氣監測
  • 其他用途

第8章 全球自然災害偵測物聯網市場：依最終使用者分類

  • 政府機關
  • 私人公司
  • 執法
  • 救援人員
  • 其他最終用戶

第9章 全球自然災害偵測物聯網市場：依地區

  • 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
    • 南美洲其他地區
  • 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

第10章 進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章公司簡介

  • SAP SE
  • Aplicaciones Technologicas Sa
  • BlackBerry Limited
  • Bulfro Monitech
  • Earth Networks
  • Green Stream Technologies
  • Grillo
  • Intel
  • Knowx Innovations Pvt. Ltd.
  • Lumineye
  • Nec Corporation
  • Nokia
  • Skyalert
  • Ogoxe
  • Venti LLC
  • One Concern, Inc.
  • Trinity Mobility
  • OnSolve LLC
  • Responscity Systems
  • Sony
  • Sadeem Technology
  • Simplisafe
  • Sensoterra
  • Semtech Corporation
Product Code: SMRC23903

According to Stratistics MRC, the Global Natural Disaster Detection IoT Market is accounted for $0.5 billion in 2023 and is expected to reach $4.4 billion by 2030 growing at a CAGR of 34.1% during the forecast period. Natural Disaster Detection IoT is the use of Internet of Things (IoT) technology to monitor and detect various natural disasters, such as earthquakes, floods, wildfires, and hurricanes. IoT sensors and devices are deployed in disaster-prone areas to collect real-time data on environmental conditions and geological activity. This data is then analyzed to provide early warnings and facilitate rapid response efforts, enhancing disaster preparedness, minimizing damage, and saving lives.

According to the 2019 mobile economy report published by GSMA Intelligence, 46% of connections in North America will be on 5G networks by 2025.

Market Dynamics:

Driver:

Reduction in damage and economic loss with disaster warnings

By deploying IoT sensors and monitoring systems in disaster-prone areas, early warnings and real-time data collection enable authorities and communities to prepare and respond swiftly to impending natural disasters, such as hurricanes, floods, or wildfires. These timely alerts allow for timely evacuation, infrastructure protection, and resource allocation, ultimately reducing property damage, loss of life, and economic impact. The cost-effectiveness of IoT-based disaster detection solutions further incentivizes their implementation, making them a crucial tool in enhancing disaster resilience and minimizing the devastating consequences of such events.

Restraint:

Vulnerabilities of IoT devices

As these devices are often deployed in remote and harsh environments, they can be susceptible to physical damage, network disruptions, or cyber attacks. If IoT sensors and communication infrastructure are compromised, the reliability and accuracy of disaster detection and early warning systems can be compromised, leading to false alarms or delayed responses. Ensuring the security, redundancy, and resilience of IoT devices in such critical applications is essential to maintaining the trust and effectiveness of natural disaster detection IoT systems addressing these vulnerabilities are crucial for reliable disaster mitigation and response.

Opportunity:

Predictive analysis with AI and data analytics tools

By harnessing advanced machine learning algorithms and data analytics, IoT systems can not only detect ongoing disasters but also predict and forecast potential events with greater accuracy. These tools can analyze historical data, environmental patterns, and real-time sensor information to provide early warnings and actionable insights. This proactive approach enables authorities and communities to prepare more effectively, allocate resources efficiently, and minimize the impact of natural disasters. Embracing predictive analysis through AI and data analytics enhances the capabilities of the Natural Disaster Detection IoT, ultimately saving lives and reducing devastation.

Threat:

Hampered communications at area of disaster

While IoT sensors and devices are vital for data collection and early warning systems, they rely on network connectivity that can be severely disrupted during catastrophic events like earthquakes or hurricanes. Such breakdowns can impede the timely transmission of critical information to authorities and emergency responders, hindering coordinated rescue and relief efforts. Addressing this threat requires robust communication redundancies, backup power sources, and resilient infrastructure to ensure uninterrupted data flow during disasters. Overcoming these challenges is essential to maximizing the effectiveness of IoT-based disaster detection and response systems.

COVID-19 Impact:

The negative impact of COVID-19 on natural disaster detection IoT was primarily felt due to logistical challenges and resource constraints. Lockdowns and travel restrictions disrupted supply chains, delaying the production and deployment of IoT devices and sensors critical for disaster monitoring. Additionally, budget reallocations towards pandemic-related needs reduced funding for IoT projects, affecting their implementation. Social distancing measures hampered maintenance and on-site installations of equipment, further impeding progress. However, the pandemic also highlighted the importance of resilient disaster detection and response systems, leading to increased interest and innovation in IoT solutions.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to have a lucrative growth. These physical components are strategically deployed in disaster-prone areas to collect real-time data on environmental conditions, geological activity, and other relevant parameters. Earthquake seismometers, flood sensors, weather stations, and satellite communication equipment are examples of critical hardware in this context. These components play a pivotal role in ensuring the accuracy and reliability of disaster detection and early warning systems. The quality and durability of hardware are essential to withstand harsh environmental conditions and deliver timely data, ultimately enabling proactive disaster mitigation and response efforts.

The flood detection segment is expected to have the highest CAGR during the forecast period

The flood detection segment is anticipated to witness the fastest CAGR growth during the forecast period. These sensors, often equipped with features like water level sensors and rain gauges, continuously gather data on rainfall intensity, water levels, and weather conditions. This real-time data is transmitted to central servers or cloud platforms via IoT connectivity, where it's analyzed using algorithms to detect abnormal patterns or thresholds indicative of flooding. When potential flooding is identified, early warnings are triggered, alerting authorities and communities and allowing them to take timely actions such as evacuations and flood control measures. This proactive approach significantly enhances flood preparedness and minimizes the impact of floods on lives and property.

Region with largest share:

During the forecast period, it is expected that the North American Natural Disaster Detection IoT market will continue to hold a majority of the market share. Its advanced technological infrastructure and robust disaster management strategies have driven significant adoption of IoT-based solutions for early warning and disaster response. North American governments, organizations, and communities leverage IoT sensors and monitoring systems to collect real-time data on environmental conditions and geological activity, enabling proactive measures to mitigate disaster impact. With a focus on resilience and innovation, North America continues to lead in the development and implementation of cutting-edge natural disaster detection IoT technologies.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period. The rapid urbanization and population growth in many Asian countries have increased their vulnerability to these events. Consequently, Asia Pacific has embraced IoT technology extensively to enhance early warning systems and disaster response efforts. IoT sensors and monitoring devices provide real-time data on seismic activities, weather patterns, and environmental changes, allowing for more effective disaster preparedness and the timely evacuation of at-risk communities. This proactive approach helps mitigate the devastating impact of natural disasters in the region.

Key players in the market:

Some of the key players in Natural Disaster Detection IoT Market include: SAP SE, Aplicaciones Technologicas Sa, BlackBerry Limited, Bulfro Monitech, Earth Networks, Green Stream Technologies, Grillo, Intel, Knowx Innovations Pvt. Ltd., Lumineye, Nec Corporation, Nokia, Skyalert, Ogoxe, Venti LLC, One Concern, Inc., Trinity Mobility, OnSolve LLC, Responscity Systems, Sony, Sadeem Technology, Simplisafe, Sensoterra and Semtech Corporation.

Key Developments:

In February 2023, the completion of Semtech's acquisition of Sierra Wireless in an all-cash deal with a total enterprise value of roughly US$1.2 billion was announced by Semtech Corporation and Sierra Wireless, Inc. With this deal, Semtech's yearly revenue nearly doubles and an additional US$100 million in high-margin IoT Cloud services recurring sales are added.

In September 2022, Semtech and Sierra Wireless entered into an agreement to create a comprehensive IoT platform and enable the transformation to a smarter, more sustainable planet.

In July 2022, NEC signed an agreement with the City of Kawasaki, Kanagawa Prefecture, regarding their cooperation and partnership in disaster-proof urban development based on digital technology. It was an unprecedented initiative involving a municipality in Japan.

Components Covered:

  • Hardware
  • Solutions
  • Services

Communication Systems Covered:

  • First Responder Tools
  • Satellite-Assisted Equipment
  • Vehicle-Ready Gateways
  • Emergency Response Radars

Applications Covered:

  • Flood Detection
  • Drought Detection
  • Wildfire Detection
  • Landslide Detection
  • Earthquake Detection
  • Weather Monitoring
  • Other Applications

End Users Covered:

  • Government Organizations
  • Private Companies
  • Law Enforcement Agencies
  • Rescue Personnel
  • Other End Users

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 2021, 2022, 2023, 2026, and 2030
  • 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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Natural Disaster Detection IoT Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Solutions
    • 5.3.1 Beacon
    • 5.3.2 Floating Sensor Network
    • 5.3.3 Lightning Detector System
    • 5.3.4 Acoustic Real-Time Monitoring System
    • 5.3.5 Early Warning System
    • 5.3.6 Other Solutions
  • 5.4 Services
    • 5.4.1 Professional Services
      • 5.4.1.1 Consulting
      • 5.4.1.2 Deployment and Integration
      • 5.4.1.3 Support and Maintenance
      • 5.4.1.4 Training and Simulation
    • 5.4.2 Managed Services

6 Global Natural Disaster Detection IoT Market, By Communication System

  • 6.1 Introduction
  • 6.2 First Responder Tools
  • 6.3 Satellite-Assisted Equipment
  • 6.4 Vehicle-Ready Gateways
  • 6.5 Emergency Response Radars

7 Global Natural Disaster Detection IoT Market, By Application

  • 7.1 Introduction
  • 7.2 Flood Detection
  • 7.3 Drought Detection
  • 7.4 Wildfire Detection
  • 7.5 Landslide Detection
  • 7.6 Earthquake Detection
  • 7.7 Weather Monitoring
  • 7.8 Other Applications

8 Global Natural Disaster Detection IoT Market, By End User

  • 8.1 Introduction
  • 8.2 Government Organizations
  • 8.3 Private Companies
  • 8.4 Law Enforcement Agencies
  • 8.5 Rescue Personnel
  • 8.6 Other End Users

9 Global Natural Disaster Detection IoT Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 SAP SE
  • 11.2 Aplicaciones Technologicas Sa
  • 11.3 BlackBerry Limited
  • 11.4 Bulfro Monitech
  • 11.5 Earth Networks
  • 11.6 Green Stream Technologies
  • 11.7 Grillo
  • 11.8 Intel
  • 11.9 Knowx Innovations Pvt. Ltd.
  • 11.10 Lumineye
  • 11.11 Nec Corporation
  • 11.12 Nokia
  • 11.13 Skyalert
  • 11.14 Ogoxe
  • 11.15 Venti LLC
  • 11.16 One Concern, Inc.
  • 11.17 Trinity Mobility
  • 11.18 OnSolve LLC
  • 11.19 Responscity Systems
  • 11.20 Sony
  • 11.21 Sadeem Technology
  • 11.22 Simplisafe
  • 11.23 Sensoterra
  • 11.24 Semtech Corporation

List of Tables

  • Table 1 Global Natural Disaster Detection IoT Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Natural Disaster Detection IoT Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Natural Disaster Detection IoT Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 4 Global Natural Disaster Detection IoT Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 5 Global Natural Disaster Detection IoT Market Outlook, By Beacon (2021-2030) ($MN)
  • Table 6 Global Natural Disaster Detection IoT Market Outlook, By Floating Sensor Network (2021-2030) ($MN)
  • Table 7 Global Natural Disaster Detection IoT Market Outlook, By Lightning Detector System (2021-2030) ($MN)
  • Table 8 Global Natural Disaster Detection IoT Market Outlook, By Acoustic Real-Time Monitoring System (2021-2030) ($MN)
  • Table 9 Global Natural Disaster Detection IoT Market Outlook, By Early Warning System (2021-2030) ($MN)
  • Table 10 Global Natural Disaster Detection IoT Market Outlook, By Other Solutions (2021-2030) ($MN)
  • Table 11 Global Natural Disaster Detection IoT Market Outlook, By Services (2021-2030) ($MN)
  • Table 12 Global Natural Disaster Detection IoT Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 13 Global Natural Disaster Detection IoT Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 14 Global Natural Disaster Detection IoT Market Outlook, By Deployment and Integration (2021-2030) ($MN)
  • Table 15 Global Natural Disaster Detection IoT Market Outlook, By Support and Maintenance (2021-2030) ($MN)
  • Table 16 Global Natural Disaster Detection IoT Market Outlook, By Training and Simulation (2021-2030) ($MN)
  • Table 17 Global Natural Disaster Detection IoT Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 18 Global Natural Disaster Detection IoT Market Outlook, By Communication System (2021-2030) ($MN)
  • Table 19 Global Natural Disaster Detection IoT Market Outlook, By First Responder Tools (2021-2030) ($MN)
  • Table 20 Global Natural Disaster Detection IoT Market Outlook, By Satellite-Assisted Equipment (2021-2030) ($MN)
  • Table 21 Global Natural Disaster Detection IoT Market Outlook, By Vehicle-Ready Gateways (2021-2030) ($MN)
  • Table 22 Global Natural Disaster Detection IoT Market Outlook, By Emergency Response Radars (2021-2030) ($MN)
  • Table 23 Global Natural Disaster Detection IoT Market Outlook, By Application (2021-2030) ($MN)
  • Table 24 Global Natural Disaster Detection IoT Market Outlook, By Flood Detection (2021-2030) ($MN)
  • Table 25 Global Natural Disaster Detection IoT Market Outlook, By Drought Detection (2021-2030) ($MN)
  • Table 26 Global Natural Disaster Detection IoT Market Outlook, By Wildfire Detection (2021-2030) ($MN)
  • Table 27 Global Natural Disaster Detection IoT Market Outlook, By Landslide Detection (2021-2030) ($MN)
  • Table 28 Global Natural Disaster Detection IoT Market Outlook, By Earthquake Detection (2021-2030) ($MN)
  • Table 29 Global Natural Disaster Detection IoT Market Outlook, By Weather Monitoring (2021-2030) ($MN)
  • Table 30 Global Natural Disaster Detection IoT Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 31 Global Natural Disaster Detection IoT Market Outlook, By End User (2021-2030) ($MN)
  • Table 32 Global Natural Disaster Detection IoT Market Outlook, By Government Organizations (2021-2030) ($MN)
  • Table 33 Global Natural Disaster Detection IoT Market Outlook, By Private Companies (2021-2030) ($MN)
  • Table 34 Global Natural Disaster Detection IoT Market Outlook, By Law Enforcement Agencies (2021-2030) ($MN)
  • Table 35 Global Natural Disaster Detection IoT Market Outlook, By Rescue Personnel (2021-2030) ($MN)
  • Table 36 Global Natural Disaster Detection IoT Market Outlook, By Other End Users (2021-2030) ($MN)

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