Analysis of the Global Substation Automation and Integration Market
An electricity grid is one of the most complex networks comprising a number of systems, components, and substations. It is a key element in any country’s critical infrastructure.
Substations consist of large hardware including switchgears and transformers. In addition to these, there is an equally critical component, the automation system, which is deployed to monitor and control the grid in real time.
These automation systems are mandatory in the current scenario to ensure availability, efficiency, reliability, and safety (which are some of the key performance indicators).
Typical market drivers include regulation and mandates to improve the stability and security of the grid, and integration of renewables. In the United States, almost 25 states have implemented reliability targets, of which 20 states have introduced some form of penalty for not meeting the targets set by regulators.
Some of the challenges facing the substation automation and integration market growth are the high investment cost and lack of common standards across geographies.
Utilities are increasingly inclined to deploy automation solutions in their substations, but the degree of automation and the drivers behind the automation implementation vary for different geographical regions.
About this report
This research service examines the global substation automation and integration market. Due to the increase in demand for power in developing countries, and the need for greater energy efficiency, utilities are working towards upgrading their grid infrastructure with more advanced solutions to minimize the downtime. The study discusses the driving and restraining factors which are expected to impact market development across the globe during the forecast period (2015 to 2020). The market trends, along with forecasts by revenue, are discussed at a regional level (North America, Europe, Asia-Pacific, and Rest of World) and analyze the prevailing market competition. The base year for the study is 2014.
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