The Europe Natural Disaster Detection IoT Market would witness market growth of 34.7% CAGR during the forecast period (2022-2028).
Unique identification for items is provided by RFID radio identifiers. RFID radio identifiers in IoT make it possible to identify objects and collect data about them remotely. Among the most crucial systems, disaster management systems have benefited greatly from the Internet of Things as well as artificial intelligence (AI). Floods are the most frequent natural disasters combated by technology, particularly through hydraulic modeling.
However, hydraulic modeling is frequently less effective at predicting floods, as shown in nations that have already adopted various models yet are still dealing with the problem of flooding. Studies show that modern technologies, including machine learning and IoT, assist with disaster management and therefore have a useful role in reducing the effects of specific types of disasters, like floods.
Businesses are utilizing ML and AI technologies to analyze IoT data with greater accuracy, precision, and speed than they could with traditional intelligence tools. With the development of predictive maintenance, industries can forecast operational outcomes more accurately and up to 20 times faster than threshold-based surveillance systems. In addition, many pieces of data are produced by the pervasive utilization of IoT devices with industrial machinery that aid in disaster detection.
The need for Internet of Things (IoT) technologies that aid in disaster detection in Europe is growing. Leading European IoT development include the United Kingdom, Germany, and Netherlands. According to research, end consumers across the globe are becoming more convinced that the value that IoT offers justifies the expense. Additionally, end customers in Europe are observing increased value as well. All of this helps IoT solutions have a better reputation, which raises demand. As a result, the governmental push and company losses caused by these catastrophes show that Europe is a significant natural disaster detection IoT market.
The Germany market dominated the Europe Natural Disaster Detection IoT Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $169.9 million by 2028. The UK market is anticipated to grow at a CAGR of 33.6% during (2022 - 2028). Additionally, The France market would exhibit a CAGR of 35.7% during (2022 - 2028).
Based on Component, the market is segmented into Solutions, Hardware and Services. Based on Solutions Type, the market is segmented into Early Warning System & Floating Sensor Network, Lightning Detector System & Acoustic Real-Time Monitoring System and Beacons & Others. Based on Application, the market is segmented into Flood Detection, Wildfire Detection, Weather Monitoring, Earthquake Detection, Landslide Detection and Others. Based on Communication System, the market is segmented into Satellite-Assisted Equipment, First Responder Tools, Vehicle-Ready Gateways and Emergency Response Radars. Based on End User, the market is segmented into Government Organizations, Law Enforcement Agencies, Private Companies and Rescue Personnel. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
Free Valuable Insights: The Worldwide Natural Disaster Detection IoT Market is Projected to reach USD 2.6 Billion by 2028, at a CAGR of 35.3%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, NEC Corporation, BlackBerry Limited, Semtech Corporation, OnSolve LLC, One Concern, Inc., OgoXe, Sadeem Technology and Earth Networks, Inc. (Advanced Environmental Monitoring LLC).
By Component
By Application
By Communication System
By End User
By Country
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