HVAC systems frequently account for most energy usage in public buildings like schools and community centers. These facilities may directly monitor the particular energy requirements of HVAC systems, individual circuits, or even individual rooms via circuit monitoring. Because of this specificity, facility managers can now have the information they need to comprehend their energy requirements fully.
The energy needed to keep data centers' systems functioning efficiently is significant. Cooling systems, servers, and high-power computing typically have the highest energy demands. The facility's energy requirements may be more easily seen due to the capacity to track the demands of these particular systems; with this information, the energy needs of different systems can be profiled, and even inefficiencies can be found. Also, OEMs can utilize circuit monitoring capabilities in their products by integrating metering technologies. Due to these built-in capabilities, they can use the advantages of monitoring particular circuits, loads, tenants, and even equipment.
Chemical and pharmaceutical plants, manufacturing facilities, facilities for producing and processing metals and other materials, and facilities for waste treatment are examples of industrial construction projects. Growth in manufacturing sector investment and a rise in export activity will support the industry's output throughout the projected period. This industry's residential construction projects might be either single-family or multi-family. The Sheikh Zayed Housing Program's investments in housing developments and the growing demand for residential constructions will bolster the sector's output. Hence, with the growth of the residential, commercial, and industrial infrastructure, the demand is also expected to rise to control, monitor and decrease power consumption, to surge the market growth in LAMEA.
The Brazil market dominated the LAMEA Circuit Monitoring Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $13.5 Million by 2029. The Argentina market is showcasing a CAGR of 7.2% during (2023-2029). Additionally, The UAE market would exhibit a CAGR of 6.3% during (2023-2029).
Based on Type, the market is segmented into Modular Circuit Monitoring and Others. Based on End-user, the market is segmented into Data Centers, Commercial, Industrial, and Residential. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include ABB Group, Schneider Electric SE, Eaton Corporation PLC, Legrand Group, NHP Electrical Engineering Products Pty Ltd., Omron Corporation, Daxten Ltd., Elecon Measurements Private Limited (Elmeasure), Jiangsu Acrel Electrical Manufacturing Co., LTD. (Acrel Co., Ltd.) and Bay Power, Inc.
Scope of the Study
By Type
- Modular Circuit Monitoring
- Others
By End-user
- Data Centers
- Commercial
- Industrial
- Residential
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- ABB Group
- Schneider Electric SE
- Eaton Corporation PLC
- Legrand Group
- NHP Electrical Engineering Products Pty Ltd.
- Omron Corporation
- Daxten Ltd.
- Elecon Measurements Private Limited (Elmeasure)
- Jiangsu Acrel Electrical Manufacturing Co., LTD. (Acrel Co., Ltd.)
- Bay Power, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Companies Mentioned
- ABB Group
- Schneider Electric SE
- Eaton Corporation PLC
- Legrand Group
- NHP Electrical Engineering Products Pty Ltd.
- Omron Corporation
- Daxten Ltd.
- Elecon Measurements Private Limited (Elmeasure)
- Jiangsu Acrel Electrical Manufacturing Co., LTD. (Acrel Co., Ltd.)
- Bay Power, Inc.
Methodology
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