Natural Disaster Detection IoT Market by Component (Hardware, Solutions, Services), Application (Flood Detection, Drought Detection), Communication System (First Responder Tools, Vehicle-ready Gateways), End User and Region - Global Forecast to 2027
Natural Disaster Detection IoT Market Size
The natural disaster detection IoT market is anticipated to reach USD 1.7 billion by 2026 from an estimated USD 0.3 billion in 2021, expanding at a CAGR of 36.0% over the forecast period. Predicting possibilities of upcoming disasters with sensors, AI, and deep learning technologies is driving market growth.
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Natural Disaster Detection IoT Market Dynamics
Driver: Use of IoT devices and sensors to predict disasters in advance
Preparing for a natural disaster is a continuous process. With the assistance of technology, it is crucial that natural hazards need not become catastrophes to support the general public and the government with protective measures. The near-real-time data is collected by the IoT devices and by the sensors, such as volcanic activity, water levels, and barometric readings. Wildfires, tornadoes, volcanic activities, cloudbursts, and earthquakes are detected by the sensors, and they deliver early warnings. Also, predictive maintenance can protect critical infrastructure or any infrastructure. Sensors enable relief from hazards by monitoring pollutants and contaminants, also consisting of radioactive situations. Lately, scientists have been employing sensors to gather vast amounts of seismic data and analyzing it with AI to assess the size and patterns of earthquakes. This data facilitates prediction more accurately when earthquakes will occur. The precision of the IoT-based system is considerably greater than that of traditional prediction methods.
Restraint: Vulnerabilities of IoT devices
With the advancements in the IoT industry, there is an increment in the variety and quantity of IoT devices. IoT devices have been widely used in smart wear, smart homes, smart cars, smart manufacturing, smart medical care, and many other life-related fields. Every internet-connected device, such as smartphones, laptops, and wearables, acts as a node within a global hazard-tracking system. Each IoT device could act as a sensor that detects surrounding atmospheric conditions and transmits vital data to natural disaster researchers. With it, security vulnerabilities of IoT devices are continually emerging. The rise in security vulnerabilities will bring severe risks if it fails.
Opportunity: Growing adoption of satellite remote sensing and GIS for disaster risk minimization and prevention
Satellite remote sensing consists of wide-ranging areas, and it functions 24/7 and in all types of weather. It is used to examine the earth's surface and atmosphere to monitor disasters and explore resources. Human factors, such as system users and operators working in disaster management and response and technical factors, are crucial in applying satellite remote sensing to disaster management support. The combination of different kinds of data using models is allowed by GIS. The combination of the different kinds of spatial data with non-spatial data is made possible with GIS, and attribute data and use them as useful information in the different stages of disaster management. GIS lets emergency management requirements are identified before an incident. Disaster events, such as tsunamis, wildfires, floods, earthquakes, hurricanes, chemical cloud dispersion, and oil spills, can be modeled and displayed in GIS. This helps in disaster risk minimization and prevention.
Challenge: Communication gets hampered in the disaster region
In situations where natural disasters have occurred, the efficiency of disaster response operations is very vital in saving human life. However, there are challenges in the efficiency of communication systems, consisting of cellular networks, that usually crash due to numerous causes making the coordination among many disordered disaster response workers extremely difficult. By breaking the communication blockage, the survival rate can be greatly increased. At the site, the sensor and satellite collect data that must be communicated to the Disaster Management Unit (DMU) so that required actions can be taken as quickly as possible. The challenge may arise that the internet services may be disrupted due to the disaster. In such a situation, the DMU shall make preliminary decisions on the basis of the last received data.
Rescue personnel segment is projected to grow at the fastest rate during the forecast period.
Enhanced communications systems assist in rescue work. IoT devices can help in search and rescue operations, as well as monitor post-disaster conditions and levels of essential resource stockpiles. IoT can continue to be used to distribute information to the public while normal communications are still being repaired. Search and rescue, emergency relief, and minimizing hazards created by the disaster. IoT devices are efficient in saving lives and minimizing the costs spent on relief measures. They can also make rescue operations easier for emergency services personnel. Therefore, IoT technology is highly adopted by rescue personnel.
Flood detection segment is set to account for the largest market share during the forecast period
To detect and avoid natural disasters, such as floods in a timely manner, evolving technology plays a vital role. With the support of an IoT-based early flood-related parameter monitoring and detection system, it is possible to prevent natural disasters caused by flooding. This model is proposed and is utilized for monitoring the water level, variations in flow, humidity, and temperature variation in the river, and the same can be used at dams or reservoirs. Then the assessed values are consistently updated on the web server, which is used to send flood alerts to authorities and people for faster action.
North America to account for the largest market share during the forecast period
North America has faced various types of natural disasters, such as earthquakes, droughts, mudslides, flooding, hurricanes, tornadoes, and tsunamis. These situations severely affect human life, and also, there is a major effect on finance due to the smashing of expensive infrastructure, homes, and the environment. The leaders in the region are expected to adopt IoT solutions for natural disaster detection, such as satellite IoT solutions, to decrease the loss of life and damage to property and infrastructure.
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Key Market Players
The natural disaster detection IoT market vendors have implemented various organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global natural disaster detection IoT market are NEC Corporation (Japan), BlackBerry (Canada), Semtech (US), SAP (Germany), Sony (Japan), Nokia (Finland), Sadeem Technology (Saudi Arabia), Lumineye (US), Venti LLC (US), SimpliSafe (India), One Concern (US), OnSolve (US), Trinity Mobility (India), SkyAlert (Mexico), Serinus (Germany), Knowx Innovations (India), OgoXe (France), Aplicaciones Tecnológicas SA (Spain), Earth Networks (US), Responscity Systems (India), Sensoterra (Netherlands), Intel (US), Grillo (Brazil), Bulfro Monitech (India), and Green Stream Technologies (US). The study includes an in-depth competitive analysis of these key players in the natural disaster detection IoT market with their company profiles, recent developments, and key market strategies.
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|
Report Metrics |
Details |
|
Market value in 2027 |
USD 1.7 Billion |
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Market value in 2022 |
USD 0.3 Billion |
|
Market Growth Rate |
36.0% CAGR |
|
Largest Market |
North America |
|
Market size available for years |
2017–2027 |
|
Base year considered |
2021 |
|
Forecast period |
2022–2027 |
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Segments covered |
By component, application, communication system, end user, and region |
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Regions covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
|
Companies covered |
NEC Corporation (Japan), BlackBerry (Canada), Semtech (US), SAP (Germany), Sony (Japan), Nokia (Finland), Sadeem Technology (Saudi Arabia), Lumineye (US), Venti LLC (US), SimpliSafe (India), One Concern (US), OnSolve (US), Trinity Mobility (India), SkyAlert (Mexico), Serinus (Germany), Knowx Innovations (India), OgoXe (France), Aplicaciones Tecnológicas SA (Spain), Earth Networks (US), Responscity Systems (India), Sensoterra (Netherlands), Intel (US), Grillo (Brazil), Bulfro Monitech (India), and Green Stream Technologies (US) |
This research report categorizes the natural disaster detection IoT market to forecast revenues and analyze trends in each of the following subsegments:
By Component
- Hardware
-
Solutions
- Beacon
- Floating Sensor Network
- Lightning Detector System
- Acoustic Real-Time Monitoring System
- Early Warning System
- Other Solutions
-
Services
-
Professional Services
- Consulting
- Deployment and Integration
- Support and Maintenance
- Training and Simulation
- Managed Services
-
Professional Services
By Application
- Flood Detection
- Drought Detection
- Wildfire Detection
- Landslide Detection
- Earthquake Detection
- Weather Monitoring
- Other Applications
By Communication System
- First Responder Tools
- Satellite-Assisted Equipment
- Vehicle-Ready Gateways
- Emergency Response Radars
By End User
- Government Organizations
- Private Companies
- Law Enforcement Agencies
- Rescue Personnel
By Region
-
North America
- US
- Canada
-
Europe
- UK
- Germany
- France
- Italy
- Spain
- Nordic Region
- Rest of Europe
-
Asia Pacific
- China
- India
- Japan
- Australia and New Zealand
- Southeast Asia
- Rest of Asia Pacific
-
Middle East and Africa
-
Middle East
- UAE
- KSA
- Rest of Middle East
-
Africa
- South Africa
- Egypt
- Nigeria
- Rest of Africa
-
Middle East
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In February 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.
- 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 August 2021, BlackBerry built a new flood risk and clean water monitoring solution to provide autonomous early warnings before any flood strikes. It is based on BlackBerry's AtHoc critical event management platform developed in partnership with the University of Windsor..
Frequently Asked Questions (FAQ):
What is natural disaster detection IoT?
According to Pantech eLearning, IoT devices help collect data and identify different types of natural disasters. Disasters such as landslides, forest fires, and earthquakes need a decentralized and personalized alerting system. The solutions help in broadcasting the location of the disaster-detected area and use that location to identify all the people stranded in that area based on their phone location and send them alerts regarding the disaster before the situation gets dire. This serves as an early warning system in the most unexpected situations and uses IoT and LoRa.
Which countries are considered in Europe?
The report includes an analysis of the UK, France, Germany, Italy, Spain, and the Nordic region in Europe.
Which are the key drivers supporting the growth of the natural disaster detection IoT market?
The key driver supporting the growth of the natural disaster detection IoT market includes the use of IoT devices and sensors to predict disasters in advance, reduction in damage and economic loss with disaster warnings, and increasing government initiatives to introduce IoT in emergency planning in upcoming years.
Who are the key vendors in the natural disaster detection IoT market?
The key vendors operating in the natural disaster detection IoT market include NEC Corporation (Japan), BlackBerry (Canada), Semtech (US), SAP (Germany), Sony (Japan), Nokia (Finland), Sadeem Technology (Saudi Arabia), Lumineye (US), Venti LLC (US), SimpliSafe (India), One Concern (US), OnSolve (US), Trinity Mobility (India), SkyAlert (Mexico), Serinus (Germany), Knowx Innovations (India), OgoXe (France), Aplicaciones Tecnológicas SA (Spain), Earth Networks (US), Responscity Systems (India), Sensoterra (Netherlands), Intel (US), Grillo (Brazil), Bulfro Monitech (India), and Green Stream Technologies (US).
What are some of the technological advancements in the market?
Natural disaster detection technologies, solutions, and services are achievable with sensors combined with networking technologies. IoT helps monitor weather remotely and automate, thus reducing complexity in the accurate early warning notification systems by improving communication performance, reducing operational costs, and low energy sensors
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This research study involved the extensive use of secondary sources, directories, and databases, such as D&B Hoovers, Bloomberg Businessweek, and Factiva, to identify and collect information useful for this technical, market-oriented, and commercial study of the natural disaster detection IoT market. Primary sources were industry experts from core and related industries, preferred system developers, service providers, resellers, partners, and organizations related to the various segments of the industry’s value chain. In-depth interviews were conducted with various primary respondents, including key industry participants and subject-matter experts, to obtain and verify critical qualitative and quantitative information, as well as to assess the market’s prospects. These included key industry participants, subject-matter experts, C-level executives of key companies, and industry consultants.
Secondary Research
In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles from recognized associations and government publishing sources. Several journals and various associations were also referred to, such as the Natural Hazards Center and The Scientist Magazine. Secondary research was used to obtain key information about industry insights, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both the market- and technology-oriented perspectives.
Secondary research was used to obtain key information about the industry’s supply chain, the total pool of key players, market classification, and segmentation according to the industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives, all of which were further validated by primary sources.
Primary Research
In the primary research process, various primary sources from both supply and demand sides of the natural disaster detection IoT market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, related key executives from various vendors providing natural disaster detection IoT solutions, associated service providers, and system integrators operating in the targeted regions. All parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
After the complete market engineering process (including calculations for market statistics, market breakdown, market size estimations, market forecast, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify and validate the segmentation types; industry trends; key players; the competitive landscape of the market; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.
In the complete market engineering process, both top-down and bottom-up approaches and several data triangulation methods were used to perform the market estimation and forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.
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Market Size Estimation
Multiple approaches were adopted to estimate and forecast the market size of the natural disaster detection IoT market. The first approach involves the estimation of the market size by summing up the revenues of the companies generated through the sale of hardware, software, and services.
Natural disaster detection IoT Market: Bottom-Up Approach
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Data Triangulation
The bottom-up approach was employed to arrive at the overall size of the natural disaster detection IoT market from the revenue of the key players and their share in this market. The revenue of the key players was analyzed to determine the overall size of the natural disaster detection IoT market.
Report Objectives
- To determine, segment, and forecast the global natural disaster detection IoT market by component, application, communication system, end user, and region in terms of value
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
- To provide detailed information about the major factors (drivers, opportunities, threats, and challenges) influencing the growth of the natural disaster detection IoT market
- To study the complete value chain and related industry segments and perform a value chain analysis of the natural disaster detection IoT market landscape
- To strategically analyze macro and micromarkets with respect to individual growth trends, prospects, and contributions to the total natural disaster detection IoT market
- To analyze industry trends, pricing data, and patents and innovations related to the natural disaster detection IoT market
- To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the natural disaster detection IoT market
- To profile key players in the market and comprehensively analyze their market share/ranking and core competencies
- To track and analyze competitive developments, such as mergers and acquisitions, new product launches and developments, partnerships, agreements, collaborations, business expansions, and Research and Development (R&D) activities
Available Customizations
Along with the market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
- Further breakdown of South Korean natural disaster detection IoT market
Product Analysis
- Product Matrix, which gives a detailed comparison of the product portfolio of each company
Company Information
- Detailed analysis and profiling of additional market players (up to five)
Generating Response ...
Growth opportunities and latent adjacency in Natural Disaster Detection IoT Market