Product Code: ETC4423227 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
Malaysia increasing interest in technology and infrastructure resilience is driving the Malaysia Natural Disaster Detection IoT Market. IoT solutions are being used to monitor and predict natural disasters, enhancing the country`s ability to respond proactively to such events and mitigate their impact.
The IoT market for natural disaster detection in Malaysia is gaining momentum as the country faces increasing environmental risks. This includes floods, landslides, and seismic activities. IoT-based sensors and monitoring systems are critical for early detection and rapid response, making them essential tools for disaster management, which is a top driver for this market`s growth.
The Malaysia Natural Disaster Detection IoT Market faces the challenge of providing real-time and accurate data for disaster prediction and response. Ensuring the reliability and coverage of IoT sensors and networks in remote or disaster-prone areas can be difficult. Additionally, interoperability among different IoT systems and data management are ongoing concerns.
In Malaysia, the Natural Disaster Detection Internet of Things (IoT) market has gained prominence due to the country`s susceptibility to various natural disasters. IoT technologies play a pivotal role in early detection, monitoring, and response to such events. The COVID-19 pandemic highlighted the need for resilient disaster management systems, prompting increased investments in this market segment. However, budget constraints and resource reallocation in the wake of the pandemic did lead to some delays in project implementations.
The Malaysia natural disaster detection IoT market is characterized by the presence of innovative companies focused on leveraging IoT technologies to enhance disaster preparedness and response. One of the prominent players in this domain is IBM Malaysia, with its expertise in IoT solutions for disaster management. IBM`s advanced sensor technologies and data analytics capabilities have been instrumental in developing effective early warning systems. Another key player is GreenoTech Solutions, specializing in IoT-based environmental monitoring solutions. Their offerings contribute significantly to detecting and mitigating the impact of natural disasters in Malaysia.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Malaysia Natural Disaster Detection IoT Market Overview |
3.1 Malaysia Country Macro Economic Indicators |
3.2 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, 2021 & 2031F |
3.3 Malaysia Natural Disaster Detection IoT Market - Industry Life Cycle |
3.4 Malaysia Natural Disaster Detection IoT Market - Porter's Five Forces |
3.5 Malaysia Natural Disaster Detection IoT Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.6 Malaysia Natural Disaster Detection IoT Market Revenues & Volume Share, By Communication System , 2021 & 2031F |
3.7 Malaysia Natural Disaster Detection IoT Market Revenues & Volume Share, By Application , 2021 & 2031F |
3.8 Malaysia Natural Disaster Detection IoT Market Revenues & Volume Share, By End User , 2021 & 2031F |
4 Malaysia Natural Disaster Detection IoT Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing frequency and severity of natural disasters in Malaysia |
4.2.2 Government initiatives and regulations promoting the adoption of IoT for disaster detection |
4.2.3 Growing awareness and concern about the impact of natural disasters on lives and infrastructure |
4.3 Market Restraints |
4.3.1 High initial investment costs for implementing IoT solutions for disaster detection |
4.3.2 Lack of skilled professionals for developing and maintaining IoT systems |
4.3.3 Data privacy and security concerns related to IoT devices and networks |
5 Malaysia Natural Disaster Detection IoT Market Trends |
6 Malaysia Natural Disaster Detection IoT Market, By Types |
6.1 Malaysia Natural Disaster Detection IoT Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Component , 2021-2031F |
6.1.3 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Hardware, 2021-2031F |
6.1.4 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Solutions, 2021-2031F |
6.1.5 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Services, 2021-2031F |
6.2 Malaysia Natural Disaster Detection IoT Market, By Communication System |
6.2.1 Overview and Analysis |
6.2.2 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By First Responder Tools, 2021-2031F |
6.2.3 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Satellite-Assisted Equipment, 2021-2031F |
6.2.4 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Vehicle-Ready Gateways, 2021-2031F |
6.2.5 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Emergency Response Radars, 2021-2031F |
6.3 Malaysia Natural Disaster Detection IoT Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Flood Detection, 2021-2031F |
6.3.3 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Drought Detection, 2021-2031F |
6.3.4 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Wildfire Detection, 2021-2031F |
6.3.5 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Landslide Detection, 2021-2031F |
6.3.6 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Earthquake Detection, 2021-2031F |
6.3.7 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Weather Monitoring, 2021-2031F |
6.4 Malaysia Natural Disaster Detection IoT Market, By End User |
6.4.1 Overview and Analysis |
6.4.2 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Government Organizations, 2021-2031F |
6.4.3 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Private Companies, 2021-2031F |
6.4.4 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Law Enforcement Agencies, 2021-2031F |
6.4.5 Malaysia Natural Disaster Detection IoT Market Revenues & Volume, By Rescue Personnel, 2021-2031F |
7 Malaysia Natural Disaster Detection IoT Market Import-Export Trade Statistics |
7.1 Malaysia Natural Disaster Detection IoT Market Export to Major Countries |
7.2 Malaysia Natural Disaster Detection IoT Market Imports from Major Countries |
8 Malaysia Natural Disaster Detection IoT Market Key Performance Indicators |
8.1 Number of IoT devices deployed for natural disaster detection in Malaysia |
8.2 Percentage increase in government funding for IoT projects related to disaster detection |
8.3 Rate of adoption of IoT solutions by businesses and households in high-risk areas |
9 Malaysia Natural Disaster Detection IoT Market - Opportunity Assessment |
9.1 Malaysia Natural Disaster Detection IoT Market Opportunity Assessment, By Component , 2021 & 2031F |
9.2 Malaysia Natural Disaster Detection IoT Market Opportunity Assessment, By Communication System , 2021 & 2031F |
9.3 Malaysia Natural Disaster Detection IoT Market Opportunity Assessment, By Application , 2021 & 2031F |
9.4 Malaysia Natural Disaster Detection IoT Market Opportunity Assessment, By End User , 2021 & 2031F |
10 Malaysia Natural Disaster Detection IoT Market - Competitive Landscape |
10.1 Malaysia Natural Disaster Detection IoT Market Revenue Share, By Companies, 2024 |
10.2 Malaysia Natural Disaster Detection IoT Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |