The Smart Buildings (Nonresidential Buildings) Global Market Report 2020-30 by The Business Research Company describes and explains the global smart buildings (nonresidential buildings) market and covers 2015 to 2020, termed the historic period, and 2020 to 2025, termed the forecast period, along with further forecasts for the period 2025-2030. The report evaluates the market across each region and for the major economies within each region.
The Smart Buildings (Nonresidential Buildings) Global Market Opportunities And Strategies Report covers smart buildings (nonresidential buildings) market drivers, smart buildings (nonresidential buildings) market trends, smart buildings (nonresidential buildings) market segments, smart buildings (nonresidential buildings) market growth rate, smart buildings (nonresidential buildings) market major players, and smart buildings (nonresidential buildings) market size.
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The nonresidential smart buildings market report focuses particularly on identifying the trends, opportunities, and strategies that can lead to success. O&S reports are available off the shelf and can be delivered to clients on the day of purchase.
Smart Buildings (Nonresidential Buildings) Global Market Opportunities And Strategies Report is the most comprehensive report available on this market and will help gain a truly global perspective as it covers 60 geographies. The chapter on the impact of COVID-19 gives valuable insights on supply chain disruptions, logistical challenges, and other economic implications of the virus on the market. The chapter also covers markets which have been positively affected by the pandemic.
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Trends include:
Artificial Intelligence and Robotics –
Artificial intelligence and robotics are becoming popular in the construction industry including smart building construction to reduce labor costs, capture data and analyze information, eliminate human error and inconsistency, and provide quality results. Artificial Intelligence (AI) uses computers to model the natural intelligence of humans in computer-controlled robots, and machine learning to solve problems and execute tasks. AI-enabled robots aid in performing construction activities, inspecting quality, tracking progress, real-time monitoring of heavy equipment, proactively alerting the operator when there is a system breakdown or malfunction, and increasing safety. In 2017, according to a survey on AI and machine learning in the construction management conducted by Gartner, 32% of small- and medium-sized construction businesses were already using AI and machine learning for construction management. A further 26% of businesses were planning and 23% were evaluating the techniques. In 2020, INDUS.AI, a USA based AI company, launched a new machine learning (ML) Appliance and Software Development Kit (SDK) that provides real-time alerts with actionable insights to allow managers to safely monitor the construction activity.
Predictive Analytics To Improve Risk Management –
Predictive analytics is playing a prominent role in the construction sector including smart building construction to simplify risk management, manage financials and resources, and allocate budgets. Predictive analytics refers to a technique used to process large data sets and infer actionable information and behavior patterns. The software analyzes data collected from subcontractors, materials suppliers, design plans, sites, and wearable devices to examine and control risk factors. In construction firms, predictive analytics help project managers predict and avoid delays in manpower availability and equipment shortages, collect weather data and predict the conditions for the firm to take preventive actions to avoid loss of material and labor costs. Some popular construction management software used for predictive analytics includes GanttPRO, Acculynx, Jonas Premier, CoConstruct, Buildertrend, Knowify, Procore, PlanGrid, ProCOntractor and BIM 360.In 2019, BAM Ireland under Royal BAM Group nv (BAM), adopted BIM 360 Construction IQ as a predictive analytics software for the construction industry, to manage risk and streamline its workflows. In 2020, the company reported a 20% improvement in on-site quality and safety, and a 25% increase in staff time spent on high-risk issues since the implementation of the software.
The market is segmented:
By Automation Type
a) Intelligent Security System
b) Building Energy Management System
c) Infrastructure Management System
d) Network Management System
By Application
a) Government
b) Airports
c) Hospitals
d) Manufacturing Establishments
e) Other
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