Market Reports: Smart Buildings
Latest Insights: Smart Buildings
In short Data centers are the smartest types of commercial buildings today, according to the latest IoT Analytics research on smart building adoption.Incentives and regulations focused on sustainability are pushing smart building initiatives forward with investments for smart building use cases expected to increase across the board.Vendor transparency and availability are key pain points for...
The Smart Meter is considered as one of the most mature and most widely adopted applications of IoT technology today. IoT Analytics’ new Smart Meter Market Report 2019-2024 estimates global smart meter penetration (electricity, water and gas) to have surpassed 14% in 2019 i.e., 14% of all meters are now smart meters. (Note: A smart meter is defined as an intelligent and network-enabled measuring...
Our View On Smart Buildings
A smart building uses advanced technology to enable efficient use of energy and resources, while at the same time ensuring a secure and comfortable environment for the people that use it. Smart buildings use a wide range of technologies that can either be designed and installed during the building process or are retrofitted at a later time.
Our coverage of smart buildings gives an overview on the topic and includes sub-segments that cover not only the technical part, but also overarching subjects e.g., the benefits and challenges of smart building adoption.
The smart building research currently covers a range of topics including:
- Technologies e.g., building management systems, building automation software
- Use cases e.g., air quality monitoring, renewable energy management, smart video surveillance and analytics, sensor-based intrusion and alarms systems, connected lighting, connected HVAC (see more in the image below)
- Respective metrics for all use cases e.g., adoption rates, ROI, investment plans
- Case studies
- Other e.g., the impact on sustainability
Our Lead Expert
Dimitris is part of the Data and Software team. Dimitris focuses on IoT applications and quantitative analysis. He has a background in mechatronics and mechanical engineering.
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