查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
到 2030 年自然灾害侦测物联网市场预测 - 按组件、通讯系统、用途、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1359031

到 2030 年自然灾害侦测物联网市场预测 - 按组件、通讯系统、用途、最终用户和地区进行的全球分析

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个工作天内

价格

根据Stratistics MRC预测，2023年全球自然灾害侦测物联网市场规模将达5亿美元，预计2030年将达到44亿美元，预测期内年复合成长率为34.1%。

自然灾害侦测是利用物联网（IoT）技术来监测和侦测地震、洪水、山火、飓风等各种自然灾害。物联网感测器和设备部署在灾害多发地区，即时收集有关环境条件和地质活动的资料。分析这些资料可以帮助提供早期预警并促进快速应变工作，提高备灾能力，最大限度地减少损失并拯救生命。

根据 GSMA Intelligence 发布的 2019 年行动经济报告，到 2025 年，北美 46% 的连线将使用 5G 网路。

减少灾害预警造成的损害及经济损失

在灾害多发地区部署物联网感测器和监控系统可以提供早期预警和即时资料收集，帮助当局和社区为即将发生的自然灾害（如飓风、洪水和野火）做好准备，从而能够快速做出反应。这种及时的预警有助于及时疏散、保护基础设施和分配资源，最终减少财产损失、生命损失和经济影响。基于物联网的灾难侦测解决方案的成本效益进一步支持其采用，使其成为增强灾难復原能力和最大限度减少此类事件的破坏性影响的重要工具。

物联网设备漏洞

物联网设备通常位于偏远地区和恶劣环境中，因此容易受到物理损坏、网路中断和网路攻击。物联网感测器和通讯基础设施受到损害可能会破坏灾害侦测和早期预警系统的可靠性和准确性，导致误报和延迟回应。确保此类关键应用中物联网设备的安全性、冗余性和弹性对于维持自然灾害侦测物联网系统的可靠性和有效性以及解决这些漏洞至关重要。物联网系统对于可靠的减灾和响应至关重要。

使用人工智慧和资料分析工具进行预测分析

透过利用先进的机器学习演算法和资料分析，物联网系统不仅可以侦测正在发生的灾难，还可以更准确地预测潜在事件。这些工具可以分析历史资料、环境模式和即时感测器资讯，以提供早期预警和可行的见解。这种积极主动的方法使当局和社区能够更有效地做好准备，更有效地分配资源，并最大限度地减少自然灾害的影响。透过人工智慧和资料分析结合预测分析将增强自然灾害侦测物联网的能力，最终挽救生命并减少灾难性损失。

灾区通讯中断

物联网感测器和设备对于资料收集和预警系统至关重要，但在地震或飓风等重大灾难期间，网路连接可能会严重中断。这些障碍可能会阻碍向当局和紧急应变及时传输关键资讯，并阻碍协调的救援和救济工作。应对这项威胁需要强大的通讯冗余、备用电源和弹性基础设施，以确保即使在灾难发生时资料流也不会中断。克服这些挑战对于最大限度地提高基于物联网的灾难侦测和回应系统的有效性至关重要。

COVID-19 的影响：

COVID-19 对自然灾害侦测物联网的负面影响主要是由后勤挑战和资源限製造成的。封锁和旅行限制扰乱了供应链，并减缓了灾害监测所必需的物联网设备和感测器的生产和部署。此外，针对流行病相关需求的预算重新分配减少了物联网计画的资金并影响了其实施。社交距离措施阻碍了设备维护和现场安装，进一步阻碍了进展。然而，这场大流行凸显了抗灾侦测和回应系统的重要性，导致人们对物联网解决方案的兴趣和创新不断增加。

预计硬体领域将在预测期内成为最大的领域

硬体领域预计将出现良好的成长。这些实体组件策略性地放置在灾害多发地区，以收集有关环境条件、地质活动和其他相关参数的即时资料。地震仪、洪水感测器、气象站和卫星通讯设备是这方面重要硬体的范例。这些组件在确保灾害侦测和预警系统的准确性和可靠性方面发挥着至关重要的作用。硬体品质和耐用性对于承受恶劣的环境条件、提供及时的资料并最终实现主动的减灾和应变工作至关重要。

洪水侦测领域预计在预测期内年复合成长率最高

预计洪水侦测领域在预测期内将出现最快的年复合成长率。这些感测器的功能通常类似于水位感测器或雨量计，持续收集有关降雨强度、水位和天气状况的资料。这些即时资料透过物联网连接发送到中央伺服器或云端平台，并使用演算法进行分析，以检测指示洪水的异常模式和阈值。一旦发现潜在洪水，就会发布预警，提醒当局和社区，以便他们及时采取疏散和防洪措施等行动。这种积极主动的方法显着提高了防洪能力，并最大限度地减少了洪水对生命和财产的影响。

占比最大的地区：

预计北美自然灾害侦测物联网市场在预测期内将继续占据大部分市场占有率。其先进的技术基础设施和强大的灾害管理策略正在推动基于物联网的早期预警和灾害应变解决方案的广泛采用。北美的政府、组织和社区正在利用物联网感测器和监测系统来收集有关环境条件和地质活动的即时资料，从而采取主动措施来减少灾害的影响。北美地区注重复原力和创新，在尖端自然灾害侦测物联网技术的开发和部署方面继续处于领先地位。

复合年复合成长率最高的地区：

预计亚太地区在预测期内复合年复合成长率最高。许多亚洲国家的快速都市化和人口增长增加了这些事件的脆弱性。因此，亚太地区正在广泛采用物联网技术来加强预警系统和灾害应变工作。物联网感测器和监控设备提供有关地震活动、天气模式和环境变化的即时资料，从而实现更有效的备灾和及时疏散高风险社区。这种积极主动的做法有助于减少该地区自然灾害的破坏性影响。

免费客製化服务

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球自然灾害侦测物联网市场：依组成部分

  • 硬体
  • 解决方案
    • 灯塔
    • 浮动感测器网络
    • 雷电探测系统
    • 声学即时监测系统
    • 预警系统
    • 其他解决方案
  • 服务
    • 专业的服务
      • 咨询
      • 部署与整合
      • 支援与维护
      • 训练和模拟
    • 管理服务

第6章全球自然灾害侦测联网市场：依通讯系统分类

  • 急救人员工具
  • 卫星支援设备
  • 车辆相容网关
  • 紧急应变雷达

第7章全球自然灾害侦测物联网市场：依用途

  • 洪水检测
  • 干旱检测
  • 野火检测
  • 山体滑坡侦测
  • 地震侦测
  • 天气监测
  • 其他用途

第8章全球自然灾害侦测物联网市场：依最终使用者分类

  • 政府机关
  • 私人公司
  • 执法
  • 救援人员
  • 其他最终用户

第9章全球自然灾害侦测物联网市场：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
    • 南美洲其他地区
  • 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

第10章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第11章公司简介

  • 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.