Natural Disaster Detection IoT Market by Component, Technology, Application, End-User - Russia Ukraine Conflict and High Inflation

Description

List of Tables

The Global Natural Disaster Detection IoT Market is forecasted to grow significantly, with a projected USD 6,684.61 million in 2023 at a CAGR of 27.63% and expected to reach a staggering USD 37,327.02 million by 2030.

The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global Natural Disaster Detection IoT Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.

Market Segmentation & Coverage:

This research report categorizes the Global 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 commanded largest market share of 52.03% in 2022, followed by Software.

Based on Technology, market is studied across Artificial Intelligence and Data Analytics. The Data Analytics commanded largest market share of 56.22% in 2022, followed by Artificial Intelligence.

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 28.84% in 2022, 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 39.56% in 2022, 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 38.45% in 2022, followed by Europe, Middle East & Africa.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Global 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 a particular market space. 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.

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. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation

5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

6. 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 Global Natural Disaster Detection IoT Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Natural Disaster Detection IoT Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Natural Disaster Detection IoT Market?

4. What is the competitive strategic window for opportunities in the Global Natural Disaster Detection IoT Market?

5. What are the technology trends and regulatory frameworks in the Global Natural Disaster Detection IoT Market?

6. What is the market share of the leading vendors in the Global Natural Disaster Detection IoT Market?

7. What modes and strategic moves are considered suitable for entering the Global Natural Disaster Detection IoT Market?

Product Code: MRR-F611BFBC62B4

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 Component, 2022 vs 2030
4.3. Natural Disaster Detection IoT Market, by Technology, 2022 vs 2030
4.4. Natural Disaster Detection IoT Market, by Application, 2022 vs 2030
4.5. Natural Disaster Detection IoT Market, by End-User, 2022 vs 2030
4.6. Natural Disaster Detection IoT Market, by Region, 2022 vs 2030

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_x000D_

and global warming

5.1.1.2. Growing need for real-time monitoring and early warning systems to_x000D_

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_x000D_

detection IoT

5.1.3. Opportunities
- 5.1.3.1. Advancements in IoT and sensing technology to gather real-time data on_x000D_

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 Trends
5.3. Cumulative Impact of COVID-19
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter's Five Forces Analysis
- 5.6.1. Threat of New Entrants
- 5.6.2. Threat of Substitutes
- 5.6.3. Bargaining Power of Customers
- 5.6.4. Bargaining Power of Suppliers
- 5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework
5.9. Client Customization

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. List of Company Mentioned

15. Appendix

15.1. Discussion Guide
15.2. License & Pricing

1. ALE International

2. Aplicaciones Tecnologicas S.A.

3. AT&T Inc.

4. Bell Labs by Nokia Corporation

5. Green Stream Technologies, Inc.

6. Grillo Holdings Inc.

7. Hala Systems, Inc.

8. InfiSIM Ltd.

9. Intel Corporation

10. International Business Machines Corporation

11. Knowx Innovations Pvt. Ltd.

12. NEC Corporation

13. One Concern, Inc.

14. Optex Co., Ltd.

15. OroraTech GmbH

16. Pantech eLearning Pvt. Ltd.

17. Responscity Systems Private Limited

18. Sadeem Technology

19. SAP SE

20. Scanpoint Geomatics Ltd.

21. Semtech Corporation

22. Tractable Ltd.

23. Trinity Mobility Private Limited

24. Venti LLC