The natural disaster detection IoT market had an estimated market share worth US$ 600 million in 2023, and it is predicted to reach a global market valuation of US$ 18.5 billion by 2034, growing at a CAGR of 36.3% from 2024 to 2034.
Demand Analysis of Natural Disaster Detection IoT
Companies can advance with natural disaster detection IoT by:
| Report Attribute | Details |
|---|---|
| Estimated Market Value in 2023 | US$ 600 million |
| Expected Market Value in 2024 | US$ 835.8 million |
| Projected Forecast Value in 2034 | US$ 18.5 billion |
| Anticipated Growth Rate from 2024 to 2034 | 36.3% |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
The global demand for the natural disaster detection IoT market was estimated to reach a valuation of US$ 200 million in 2019, according to a report from Future Market Insights (FMI). From 2019 to 2023, the natural disaster detection IoT market experienced astounding growth, registering a CAGR of 41.4%.
| Historical CAGR from 2019 to 2023 | 41.4% |
|---|---|
| Forecast CAGR from 2024 to 2034 | 36.3% |
The increasing focus on preventive approaches to disaster management is another important driver. Governments and companies are prioritizing investments in modern technologies such as IoT in order to achieve early warning, fast reaction, and effective disaster mitigation.
This change from reactive to proactive approaches is driving the development of IoT solutions for natural disaster detection. The market for natural disaster detection IoT is expected to grow in the future due to these factors:
Proactive and Effective Disaster Detection Strategies to Enhance Market Growth
The growing frequency and intensity of natural disasters throughout the world is a major factor propelling the natural disaster detection IoT market. The need for IoT-based detection systems is fueled by governments, corporations, and communities investing in cutting-edge technological solutions for early detection, prediction, and mitigation as a result of this elevated risk perception.
The capability of IoT systems for detecting natural disasters to enable dynamic risk modeling is one of its distinctive features. These systems can produce dynamic risk models that adjust to shifting environmental conditions and offer precise insights into changing disaster scenarios by continuously gathering and analyzing real-time data from sensors. This allows for the improvement of preparedness and response efforts with previously unheard-of accuracy and effectiveness.
Principal Consultant
High Initial Deployment Costs to Impede the Market Growth
The significant initial expenses associated with implementing and maintaining IoT infrastructure are a major barrier to adoption, especially for smaller businesses with tighter budgets.
Since sensitive data is sent and kept, concerns about data privacy and security impede trust and adoption. Compatibility problems caused by interoperability problems across various IoT systems impede smooth integration and the achievement of the technology's full potential.
This section focuses on providing detailed analysis of two particular market segments for natural disaster detection IoT, the dominant end user and the significant application. The two main segments discussed below are the private companies and flood detection segments.
| End User | Private Companies |
|---|---|
| CAGR from 2024 to 2034 | 36.1% |
During the forecast period, the private companies segment is forecast to expand with a 36.1% CAGR. IoT technologies for detecting natural disasters are being widely used by private companies for a number of reasons. By protecting staff, infrastructure, and corporate assets from the damaging effects of disasters, these technologies provide business continuity and reduce financial losses.
Companies may improve their image and gain the confidence of stakeholders by investing in these technologies as a way to show their dedication to Sustainability and community resilience. Progressive risk management is made possible by the predictive powers of IoT devices, which lowers long-term liabilities and insurance costs.
| Application | Flood Detection |
|---|---|
| CAGR from 2024 to 2034 | 35.8% |
Through 2034, the flood detection segment is anticipated to register a 35.8% CAGR. Since this technology may give early warning signals and real-time monitoring, which are essential for reducing the destructive effects of floods, it is widely used for flood detection. IoT sensors have the ability to identify variations in water levels, which allows for early warnings to authorities and locals, enabling efficient resource allocation and evacuation.
Predictive modeling and advanced data analytics improve flood risk assessment, allowing for improved preparedness and response tactics that ultimately reduce property loss and save lives.
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
This section will go into detail on the natural disaster detection IoT markets in a few key countries, including the United States, the United Kingdom, China, Japan and South Korea. This part will focus on the key factors that are driving up demand in these countries for natural disaster detection IoT.
| Countries | CAGR from 2024 to 2034 |
|---|---|
| The United States | 36.6% |
| The United Kingdom | 37% |
| China | 36.9% |
| Japan | 37.6% |
| South Korea | 38.1% |
The United States natural disaster detection IoT ecosystem is anticipated to gain a CAGR of 36.6% through 2034. The United States is a center of technical innovation, notably in data analytics, artificial intelligence, and sensor technologies. Continuous improvements in these domains propel the development of increasingly complex and efficient IoT solutions for the detection and response to natural disasters, hence enhancing market expansion and competitiveness.
In addition to government funding, American private sector organizations, such as technology firms, insurers, and infrastructure developers, are investing more in IoT solutions for natural disaster detection. This investment is motivated by the realization that IoT technology has the ability to promote business continuity during natural catastrophes, lower damages, and improve risk management.
The natural disaster detection IoT market in the United Kingdom is expected to expand with a 37% CAGR through 2034. The need for advanced IoT solutions for natural disaster identification and mitigation is being driven by increased knowledge of climate change and its possible effects on extreme weather occurrences. Increased investment in technology and innovation is prompted by this awareness in order to improve early warning systems and disaster resilience.
Strict laws and guidelines pertaining to emergency preparedness and public safety promote the usage of IoT-based detection devices in the United Kingdom. The market may rise as a result of government efforts and industry standards mandating the use of modern technologies for better monitoring and response to catastrophic events.
The natural disaster detection IoT ecosystem in China is anticipated to develop with a 36.9% CAGR from 2024 to 2034. The emphasis of the Chinese government on disaster risk reduction and response approaches has boosted investment in IoT technologies for natural disaster detection.
Opportunities for the development and implementation of IoT solutions across the nation are created by policies targeted at improving early warning systems and disaster preparation.
The rapidly expanding infrastructure and urbanization in the country make its densely inhabited areas more susceptible to natural disasters. The market is expanding as a consequence of the rising need for sophisticated IoT-based detection systems to reduce hazards and enhance urban disaster response capabilities.
The natural disaster detection IoT industry in Japan is anticipated to reach a 37.6% CAGR from 2024 to 2034. Japan is well known for its advanced technology industry, which involves developing innovative IoT disaster detection systems. The acceptance and ongoing development of IoT-based early warning and disaster management systems are fueled by this innovation-focused approach.
Strong detection and warning systems are vital, as demonstrated by Japan's history of frequent and catastrophic natural catastrophes including typhoons, tsunamis, and earthquakes. The national proactive approach to disaster preparedness creates an atmosphere that is favorable for the growth and expansion of the IoT market for natural catastrophe detection.
The natural disaster detection IoT ecosystem in South Korea is likely to evolve with a 38.1% CAGR during the forecast period. Adoption and progress of IoT technologies for natural disaster detection and management are driven by strong government support and investment in technology infrastructure and catastrophe resilience initiatives.
The susceptibility of the region to natural catastrophes like earthquakes, typhoons, and landslides necessitates the development of advanced IoT-based detection systems to increase early warning capabilities and lessen the effect of these occurrences.
Key companies in the global natural disaster detection IoT market are actively involved in a number of strategic initiatives. Along with the development of sophisticated algorithms for real-time risk assessment as well as early warning systems, they place a high priority on the improvement of sensor technologies to maximize data collecting and processing.
While significant expenditures in research and development fuel innovation in disaster warning approaches, cooperative efforts with governments and non-governmental organizations are crucial to the implementation of IoT solutions in susceptible locations.
In order to support international disaster management efforts, these businesses are expanding their geographic presence to include additional disaster-prone areas and providing full-service solutions including data analytics and consulting. The key players in this market include:
Significant advancements in the natural disaster detection IoT market are being made by key market participants, and these include:
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 36.3% from 2024 to 2034 |
| Market value in 2024 | US$ 835.8 million |
| Market value in 2034 | US$ 18.5 billion |
| Base Year for Estimation | 2023 |
| Historical Data | 2019 to 2023 |
| Forecast Period | 2024 to 2034 |
| Quantitative Units | US$ million/billion for value |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered |
|
| Region Covered |
|
| Countries Profiled |
|
| Key Companies Profiled |
|
| Customization Scope | Available on Request |
The natural disaster detection IoT market is expected to garner a 36.3% CAGR from 2024 to 2034.
By 2024, the global natural disaster detection IoT market is likely to gain US$ 835.8 million.
By 2034, the natural disaster detection IoT market valuation is likely to reach a sum of US$ 18.5 billion.
The natural disaster detection IoT industry in the United States is likely to garner a 36.6% CAGR during the forecast period.
The private companies are likely to greatly opt for natural disaster detection IoT, and garner a 36.1% CAGR through 2034.
The natural disaster detection IoT systems will be highly used for flood detection and garner a 35.8% CAGR through 2034.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By End User
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By End User, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2024 to 2034
5.3.1. Private Companies
5.3.2. Government Organizations
5.3.3. Law Enforcement Agencies
5.3.4. Rescue Personnel
5.4. Y-o-Y Growth Trend Analysis By End User, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By End User, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034
6.3.1. Flood Detection
6.3.2. Drought Detection
6.3.3. Earthquake Detection
6.3.4. Landslide Detection
6.3.5. Wildfire Detection
6.3.6. Weather Monitoring
6.3.7. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
8.2.1. By Country
8.2.1.1. USA
8.2.1.2. Canada
8.2.2. By End User
8.2.3. By Application
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By End User
8.3.3. By Application
8.4. Key Takeaways
9. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By End User
9.2.3. By Application
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By End User
9.3.3. By Application
9.4. Key Takeaways
10. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. UK
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By End User
10.2.3. By Application
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By End User
10.3.3. By Application
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By End User
11.2.3. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By End User
11.3.3. By Application
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By End User
12.2.3. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By End User
12.3.3. By Application
12.4. Key Takeaways
13. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By End User
13.2.3. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By End User
13.3.3. By Application
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By End User
14.2.3. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By End User
14.3.3. By Application
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2023
15.1.2.1. By End User
15.1.2.2. By Application
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2023
15.2.2.1. By End User
15.2.2.2. By Application
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2023
15.3.2.1. By End User
15.3.2.2. By Application
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2023
15.4.2.1. By End User
15.4.2.2. By Application
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2023
15.5.2.1. By End User
15.5.2.2. By Application
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2023
15.6.2.1. By End User
15.6.2.2. By Application
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2023
15.7.2.1. By End User
15.7.2.2. By Application
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2023
15.8.2.1. By End User
15.8.2.2. By Application
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2023
15.9.2.1. By End User
15.9.2.2. By Application
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2023
15.10.2.1. By End User
15.10.2.2. By Application
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2023
15.11.2.1. By End User
15.11.2.2. By Application
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2023
15.12.2.1. By End User
15.12.2.2. By Application
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2023
15.13.2.1. By End User
15.13.2.2. By Application
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2023
15.14.2.1. By End User
15.14.2.2. By Application
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2023
15.15.2.1. By End User
15.15.2.2. By Application
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2023
15.16.2.1. By End User
15.16.2.2. By Application
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2023
15.17.2.1. By End User
15.17.2.2. By Application
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2023
15.18.2.1. By End User
15.18.2.2. By Application
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2023
15.19.2.1. By End User
15.19.2.2. By Application
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2023
15.20.2.1. By End User
15.20.2.2. By Application
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2023
15.21.2.1. By End User
15.21.2.2. By Application
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2023
15.22.2.1. By End User
15.22.2.2. By Application
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2023
15.23.2.1. By End User
15.23.2.2. By Application
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By End User
16.3.3. By Application
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. SAP
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Sony
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Nokia
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Blackberry
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. NEC Corporation
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Intel
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Venti LLC
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. One Concern
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Sadeem Technology
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. OgoXe
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
Explore Technology Insights
View Reports
Natural Disaster Detection IoT Market
