Natural Disaster Detection IoT Market worth $37.32 billion by 2030, growing at a CAGR of 27.85% - Exclusive Report by 360iResearch

The "Natural Disaster Detection IoT Market by Component (Hardware, Services, Software), Technology (Advanced Computing & Big Data Analytics, Artificial Intelligence & Machine Learning, Mobile & Communication Technologies), Application, End-User - Global Forecast 2024-2030" report has been added to 360iResearch.com's offering.

The Global Natural Disaster Detection IoT Market to grow from USD 6.68 billion in 2023 to USD 37.32 billion by 2030, at a CAGR of 27.85%.

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Natural disaster detection using the Internet of Things (IoT) refers to the application of interconnected, sensor-equipped devices to collect and transmit data to detect, monitor, and respond to natural disasters. These IoT devices are deployed in areas susceptible to natural catastrophes such as earthquakes, tsunamis, hurricanes, floods, and wildfires, providing real-time data crucial for early warning and rapid response. Growth in the natural disaster detection IoT market is influenced by technological advancements in sensors and machine-to-machine communication, increased global prevalence of natural disasters due to climate change, urbanization in vulnerable areas, and governmental investment in disaster preparedness infrastructure. Additionally, integrating artificial intelligence (AI) and machine learning (ML) for predictive analytics and the growing adoption of cloud computing in IoT platforms further stimulate demand. However, several limitations and challenging factors include high initial set-up costs of IoT infrastructure, maintenance & updating of sensors & equipment, data privacy & security concerns, and the need for standardization across different technologies are hampering the market growth. Moreover, scaling IoT infrastructure, creating robust, low-latency communication networks for real-time alerts, and developing AI-driven predictive models are current opportunities that accurately anticipate disaster events. There is also expanding potential in public-private partnerships to enhance community resilience and the deployment of edge computing to process data closer to the source, thereby hastening response times. Furthermore, it is expected to focus more on research & development to enhance the precision of real-time data analysis, create adaptive learning systems for evolving threat scenarios, and explore blockchain technologies for secure and reliable data sharing during disaster events. Advancing public awareness and education programs on technology adoption could further drive market penetration and expansion.

The Asia-Pacific region has witnessed an uptick in natural disaster occurrences, such as earthquakes in Japan, tsunamis in Southeast Asia, and cyclones in India, spawning increased consumer demand for IoT solutions in natural disaster detection. Japan strategically utilizes a sophisticated combination of IoT and seismography for early warnings. The region shows a surge in advanced sensor technology and communication patents, with China at the forefront of R&D investments. The Americas are focused on responding to hurricanes, tornadoes, and wildfires, with American companies pushing the envelope in disaster-detection-cum-mitigation IoT tools that blend seamlessly with smart homes and provide real-time alerts. Canada, facing challenges due to its diverse climate, is channeling efforts into tailored IoT responses for wildfires and floods. The U.S. FEMA's Integrated Public Alert and Warning System typifies government investment in harnessing IoT for widespread disaster alerts. Moreover, the EMEA region's response is shaped by its diverse geography and climatic conditions, with technological investments adhering to scientific rigor and sustainability. The Middle East concentrates on combating desertification, investing in IoT to anticipate sandstorms and manage water scarcity, reflecting the region's adaptation to its dry climate. In Africa, the focus is on affordable and deployable IoT systems to cope with droughts, floods, and locust swarms, highlighted by the African Union's Africa Disaster Risk Financing Programme supporting disaster risk reduction tech, including IoT.

Market Segmentation & Coverage:

This research report categorizes the Natural Disaster Detection IoT Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Computational & Storage Devices, Data Transmission Devices, Power Supply & Energy Storage, Sensors & Detectors, and User Interface & Notification Systems. The Software is further studied across Communication & Networking Software, Data Analysis & Management Software, and Geographic Information System (GIS) Software. The Hardware commanded largest market share of 51.65% in 2023, followed by Software.

Based on Technology, market is studied across Advanced Computing & Big Data Analytics, Artificial Intelligence & Machine Learning, and Mobile & Communication Technologies. The Artificial Intelligence & Machine Learning commanded largest market share of 44.02% in 2023, followed by Advanced Computing & Big Data Analytics.

Based on Application, market is studied across Drought Detection & Management, Earthquake Management, Flood Monitoring & Management, Forest Fire Management, Landslide Detection & Management, and Weather Monitoring. The Weather Monitoring commanded largest market share of 27.26% in 2023, followed by Earthquake Management.

Based on End-User, market is studied across Government Organizations, Law Enforcement Agencies, Private Companies, and Rescue Personnel. The Government Organizations commanded largest market share of 39.99% in 2023, followed by Law Enforcement Agencies.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.38% in 2023, followed by Europe, Middle East & Africa.

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FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Natural Disaster Detection IoT Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in the Natural Disaster Detection IoT Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

Key Company Profiles:

The report delves into recent significant developments in the Natural Disaster Detection IoT Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., ALE International SAS, Aplicaciones Tecnológicas S.A., AT&T Inc., Atos SE, BlackBerry Limited, Cisco Systems Inc., Eaton Corporation PLC, Environmental Systems Research Institute, Inc, Google LLC by Alphabet Inc., Green Stream Technologies, Inc., Grillo Holdings Inc., Hala Systems, Inc., Hitachi Ltd., InfiSIM Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Knowx Innovations Pvt. Ltd., Mitsubishi Electric Corporation, NEC Corporation, Nokia Corporation, One Concern, Inc., Optex Co., Ltd., OroraTech GmbH, Responscity Systems Private Limited, Sadeem International Company, SAP SE, Scanpoint Geomatics Ltd., Semtech Corporation, Sony Group Corporation, Telefonaktiebolaget LM Ericsson, Tractable Ltd., Trinity Mobility Private Limited, Venti LLC, and Zebra Technologies Corporation.

Key Topics Covered:

1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Natural Disaster Detection IoT Market, by Component
7. Natural Disaster Detection IoT Market, by Technology
8. Natural Disaster Detection IoT Market, by Application
9. Natural Disaster Detection IoT Market, by End-User
10. Americas Natural Disaster Detection IoT Market
11. Asia-Pacific Natural Disaster Detection IoT Market
12. Europe, Middle East & Africa Natural Disaster Detection IoT Market
13. Competitive Landscape
14. Competitive Portfolio

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Natural Disaster Detection IoT Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Natural Disaster Detection IoT Market?
3. What is the competitive strategic window for opportunities in the Natural Disaster Detection IoT Market?
4. What are the technology trends and regulatory frameworks in the Natural Disaster Detection IoT Market?
5. What is the market share of the leading vendors in the Natural Disaster Detection IoT Market?
6. What modes and strategic moves are considered suitable for entering the Natural Disaster Detection IoT Market?

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