Natural Disaster Detection Iot Market
Natural Disaster Detection IoT Market Forecasts to 2030 - Global Analysis By Component (Hardware, Solutions and Services), Communication System (First Responder Tools, Satellite-Assisted Equipment, Vehicle-Ready Gateways and Emergency Response Radars), Application (Flood Detection, Drought Detection, Wildfire Detection and Other Applications), End User and By Geography
|
Years Covered |
2021-2030 |
|
Estimated Year Value (2023) |
US $0.5 BN |
|
Projected Year Value (2030) |
US $4.4 BN |
|
CAGR (2023 - 2030) |
34.1% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Asia Pacific |
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 Technológicas 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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o 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 Technológicas 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
1 Global Natural Disaster Detection IoT Market Outlook, By Region (2021-2030) ($MN)
2 Global Natural Disaster Detection IoT Market Outlook, By Component (2021-2030) ($MN)
3 Global Natural Disaster Detection IoT Market Outlook, By Hardware (2021-2030) ($MN)
4 Global Natural Disaster Detection IoT Market Outlook, By Solutions (2021-2030) ($MN)
5 Global Natural Disaster Detection IoT Market Outlook, By Beacon (2021-2030) ($MN)
6 Global Natural Disaster Detection IoT Market Outlook, By Floating Sensor Network (2021-2030) ($MN)
7 Global Natural Disaster Detection IoT Market Outlook, By Lightning Detector System (2021-2030) ($MN)
8 Global Natural Disaster Detection IoT Market Outlook, By Acoustic Real-Time Monitoring System (2021-2030) ($MN)
9 Global Natural Disaster Detection IoT Market Outlook, By Early Warning System (2021-2030) ($MN)
10 Global Natural Disaster Detection IoT Market Outlook, By Other Solutions (2021-2030) ($MN)
11 Global Natural Disaster Detection IoT Market Outlook, By Services (2021-2030) ($MN)
12 Global Natural Disaster Detection IoT Market Outlook, By Professional Services (2021-2030) ($MN)
13 Global Natural Disaster Detection IoT Market Outlook, By Consulting (2021-2030) ($MN)
14 Global Natural Disaster Detection IoT Market Outlook, By Deployment and Integration (2021-2030) ($MN)
15 Global Natural Disaster Detection IoT Market Outlook, By Support and Maintenance (2021-2030) ($MN)
16 Global Natural Disaster Detection IoT Market Outlook, By Training and Simulation (2021-2030) ($MN)
17 Global Natural Disaster Detection IoT Market Outlook, By Managed Services (2021-2030) ($MN)
18 Global Natural Disaster Detection IoT Market Outlook, By Communication System (2021-2030) ($MN)
19 Global Natural Disaster Detection IoT Market Outlook, By First Responder Tools (2021-2030) ($MN)
20 Global Natural Disaster Detection IoT Market Outlook, By Satellite-Assisted Equipment (2021-2030) ($MN)
21 Global Natural Disaster Detection IoT Market Outlook, By Vehicle-Ready Gateways (2021-2030) ($MN)
22 Global Natural Disaster Detection IoT Market Outlook, By Emergency Response Radars (2021-2030) ($MN)
23 Global Natural Disaster Detection IoT Market Outlook, By Application (2021-2030) ($MN)
24 Global Natural Disaster Detection IoT Market Outlook, By Flood Detection (2021-2030) ($MN)
25 Global Natural Disaster Detection IoT Market Outlook, By Drought Detection (2021-2030) ($MN)
26 Global Natural Disaster Detection IoT Market Outlook, By Wildfire Detection (2021-2030) ($MN)
27 Global Natural Disaster Detection IoT Market Outlook, By Landslide Detection (2021-2030) ($MN)
28 Global Natural Disaster Detection IoT Market Outlook, By Earthquake Detection (2021-2030) ($MN)
29 Global Natural Disaster Detection IoT Market Outlook, By Weather Monitoring (2021-2030) ($MN)
30 Global Natural Disaster Detection IoT Market Outlook, By Other Applications (2021-2030) ($MN)
31 Global Natural Disaster Detection IoT Market Outlook, By End User (2021-2030) ($MN)
32 Global Natural Disaster Detection IoT Market Outlook, By Government Organizations (2021-2030) ($MN)
33 Global Natural Disaster Detection IoT Market Outlook, By Private Companies (2021-2030) ($MN)
34 Global Natural Disaster Detection IoT Market Outlook, By Law Enforcement Agencies (2021-2030) ($MN)
35 Global Natural Disaster Detection IoT Market Outlook, By Rescue Personnel (2021-2030) ($MN)
36 Global Natural Disaster Detection IoT Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
Figure 1 Global Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 2 North America Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 3 US Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 4 Canada Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 5 Mexico Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 6 Europe Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 7 Germany Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 8 UK Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 9 Italy Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 10 France Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 11 Spain Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 12 Rest of Europe Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 13 Asia Pacific Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 14 Japan Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 15 China Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 16 India Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 17 Australia Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 18 New Zealand Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 19 South Korea Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 20 Rest of Asia Pacific Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 21 South America Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 22 Argentina Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 23 Brazil Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 24 Chile Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 25 Rest of South America Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 26 Middle East & Africa Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 27 Saudi Arabia Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 28 UAE Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 29 Qatar Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 30 South Africa Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
Figure 31 Rest of Middle East & Africa Natural Disaster Detection IoT Market Outlook (2021-2030) ($MN)
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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