Natural Disaster Detection IoT Market by Component (Hardware, Services, Software), Technology (Artificial Intelligence, Data Analytics), Application, End-User - Global Forecast 2024-2030

Natural Disaster Detection IoT Market by Component (Hardware, Services, Software), Technology (Artificial Intelligence, Data Analytics), Application, End-User - Global Forecast 2024-2030


The Natural Disaster Detection IoT Market size was estimated at USD 6.68 billion in 2023 and expected to reach USD 8.45 billion in 2024, at a CAGR 27.85% to reach USD 37.32 billion by 2030.Rising environmental concerns contributing to the climate change strengthens the destructive power of natural disasters. In context, Internet-of-Things (IoT)-based natural disaster detection technology helps to monitor, provide early warning & notification and create a response to cope with disasters and emergencies. Every year, natural calamities such as extreme weather conditions, earthquakes, hurricanes, droughts, floods, and heatwaves cause significant damages, including distress among people owing to mass evacuations, injuries, and deaths, creating the need for effective IoT- based natural disaster detection systems. However, the high cost associated with the deployment and maintenance of the required infrastructure can impact the market growth. The new developments of cost-effective IoT sensors and constant government focus & funding to manage natural disaster conditions are expected to offer brighter prospects for the natural disaster detection IoT market.

Regional Insights

The American region showcases the higher adoption of the natural disaster detection IoT systems majorly attributed to several natural disasters that affected to America region in recent years, including earthquakes, flooding, mudslides, hurricanes, and tornadoes. The presence of the major market players and supportive IoT infrastructure in the U.S. propels the growth of the natural disaster detection IoT market. In Asia-Pacific, frequently occurring natural disasters, including earthquakes, tropical storms, tsunamis, and landslides, create the need for technology deployment to detect and respond to these extreme conditions effectively. The governments in emerging Asian countries are investing heavily in advanced technology for natural disaster detection and response to support market development. The growing smart infrastructure across cities and favorable regulatory support enhance the landscape for the natural disaster detection IoT market in the EMEA region.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Natural Disaster Detection IoT Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Natural Disaster Detection IoT Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

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 ALE International, Aplicaciones Tecnológicas S.A., AT&T Inc., Bell Labs by Nokia Corporation, Green Stream Technologies, Inc., Grillo Holdings Inc., Hala Systems, Inc., InfiSIM Ltd., Intel Corporation, International Business Machines Corporation, Knowx Innovations Pvt. Ltd., NEC Corporation, One Concern, Inc., Optex Co., Ltd., OroraTech GmbH, Pantech eLearning Pvt. Ltd., Responscity Systems Private Limited, Sadeem Technology, SAP SE, Scanpoint Geomatics Ltd., Semtech Corporation, Tractable Ltd., Trinity Mobility Private Limited, and Venti LLC.

Market Segmentation & Coverage

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

Component

Hardware

Services

Software
Technology

Artificial Intelligence

Data Analytics
Application

Drought Detection & Management

Earthquake Management

Flood Monitoring & Management

Forest Fire Management

Landslide Detection & Management

Weather Monitoring
End-User

Government Organizations

Law Enforcement Agencies

Private Companies

Rescue Personnel
Region

Americas
Argentina
Brazil
Canada
Mexico
United States

California

Florida

Illinois

New York

Ohio

Pennsylvania

Texas

Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam

Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Natural Disaster Detection IoT Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Natural Disaster Detection IoT Market?
3. What are the technology trends and regulatory frameworks in the Natural Disaster Detection IoT Market?
4. What is the market share of the leading vendors in the Natural Disaster Detection IoT Market?
5. Which modes and strategic moves are suitable for entering the Natural Disaster Detection IoT Market?

Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Natural Disaster Detection IoT Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing frequency and severity of natural disasters with climate change
and global warming
5.1.1.2. Growing need for real-time monitoring and early warning systems to
minimize damage
5.1.1.3. Surge in adoption of IoT enabled satellite remote sensing and geographic information system for disaster risk prevention
5.1.2. Restraints
5.1.2.1. High costs associated with deployment and maintenance of natural disaster
detection IoT
5.1.3. Opportunities
5.1.3.1. Advancements in IoT and sensing technology to gather real-time data on
natural disasters
5.1.3.2. Government initiatives and investments in natural disaster management
5.1.4. Challenges
5.1.4.1. Lack of standardization and difficulties in accurately detecting and predicting
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Natural Disaster Detection IoT Market, by Component
6.1. Introduction
6.2. Hardware
6.3. Services
6.4. Software
7. Natural Disaster Detection IoT Market, by Technology
7.1. Introduction
7.2. Artificial Intelligence
7.3. Data Analytics
8. Natural Disaster Detection IoT Market, by Application
8.1. Introduction
8.2. Drought Detection & Management
8.3. Earthquake Management
8.4. Flood Monitoring & Management
8.5. Forest Fire Management
8.6. Landslide Detection & Management
8.7. Weather Monitoring
9. Natural Disaster Detection IoT Market, by End-User
9.1. Introduction
9.2. Government Organizations
9.3. Law Enforcement Agencies
9.4. Private Companies
9.5. Rescue Personnel
10. Americas Natural Disaster Detection IoT Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific Natural Disaster Detection IoT Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam
12. Europe, Middle East & Africa Natural Disaster Detection IoT Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom
13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.2. Market Share Analysis, By Key Player
13.3. Competitive Scenario Analysis, By Key Player
13.3.1. Merger & Acquisition
13.3.1.1. Telit Strikes Again With Acquisition of US Custom IoT Startup Mobilogix
13.3.2. Agreement, Collaboration, & Partnership
13.3.2.1. Partnership Announced between the Earth Observation Company and the Global Disaster Alert and Coordination System (GDACS)To Manage And Predict Natural Disasters
13.3.3. New Product Launch & Enhancement
13.3.3.1. NASA Partnership Launched Groundbreaking New Global Flood Early Warning Technology
13.3.3.2. AiDash launched New Disaster And Disruption Management System
13.3.4. Investment & Funding
13.3.4.1. World Bank Approves USD 108 Million to Improve Disaster Preparedness for Flood-prone Districts of Assam
13.3.4.2. RapidSOS, A Big Data Platform For Emergency First Responders, Raises $75M
14. Competitive Portfolio
14.1. Key Company Profiles
14.1.1. ALE International
14.1.2. Aplicaciones Tecnológicas S.A.
14.1.3. AT&T Inc.
14.1.4. Bell Labs by Nokia Corporation
14.1.5. Green Stream Technologies, Inc.
14.1.6. Grillo Holdings Inc.
14.1.7. Hala Systems, Inc.
14.1.8. InfiSIM Ltd.
14.1.9. Intel Corporation
14.1.10. International Business Machines Corporation
14.1.11. Knowx Innovations Pvt. Ltd.
14.1.12. NEC Corporation
14.1.13. One Concern, Inc.
14.1.14. Optex Co., Ltd.
14.1.15. OroraTech GmbH
14.1.16. Pantech eLearning Pvt. Ltd.
14.1.17. Responscity Systems Private Limited
14.1.18. Sadeem Technology
14.1.19. SAP SE
14.1.20. Scanpoint Geomatics Ltd.
14.1.21. Semtech Corporation
14.1.22. Tractable Ltd.
14.1.23. Trinity Mobility Private Limited
14.1.24. Venti LLC
14.2. Key Product Portfolio
15. Appendix
15.1. Discussion Guide
15.2. License & Pricing
FIGURE 1. NATURAL DISASTER DETECTION IOT MARKET RESEARCH PROCESS
FIGURE 2. NATURAL DISASTER DETECTION IOT MARKET SIZE, 2023 VS 2030
FIGURE 3. NATURAL DISASTER DETECTION IOT MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. NATURAL DISASTER DETECTION IOT MARKET DYNAMICS
FIGURE 7. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
FIGURE 10. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 12. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 14. NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 16. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 18. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. NATURAL DISASTER DETECTION IOT MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 24. NATURAL DISASTER DETECTION IOT MARKET SHARE, BY KEY PLAYER, 2023

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