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), Ap

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

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
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