LONDON--(BUSINESS WIRE)--Technavio’s latest market research report on the global enterprise pipeline management solutions (EPMS) market provides an analysis of the most important trends expected to impact the market outlook from 2017-2021. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline.
One of the key factors resulting in the growth of the global enterprise pipeline management solutions market is the increasing preference for pipeline transportation. The transportation of oil and gas is usually referred to as midstream. Transport modes in the oil and gas industry include transportation through pipelines, shipping, trucking, and railroading.
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The three emerging market trends driving the global enterprise pipeline management solutions market according to Technavio research analysts are:
- Emergence of IIoT
- Big data analytics to attain quality data
- Growing penetration of LNG trade
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Emergence of IIoT
The industrial internet of things (IIoT) is the next generation technology for all the applications due to its superior advantages in terms of connectivity. IIoT had already been commercialized to a degree in factories by 2016. Digitalization is expanding across the globe and involves components that can identify and transmit conditional information. In addition, IIoT is further simplifying the connectivity techniques using IPv6-based protocol addressing systems. The interoperability issues also find a better solution with the advent of IIoT.
According to Raghav Bharadwaj Shivaswamy, a lead analyst at Technavio for automation, “IIoT in the pipeline network collects the data relating to pipeline condition, rotating equipment condition, pressure cycles, and others. The pipeline behavioral aspects are used for understanding the usual pipeline operation and helps in identifying irregular operations before they escalate. As technology integration is progressing, it is increasing the ability to measure, collect, and analyze behavioral statistics.”
Big data analytics to attain quality data
One of the major advances that the petroleum industry has witnessed is the application of big data analytics in the oil industry. Companies are combining complex and massive data obtained from geoscientists with the ones from data scientists in drilling applications. However, in pipeline applications, big data includes the data derived from operating processes and instrumentation parameters such as temperature, flow rate, pressure, and readings from other connected devices.
“Big data in pipeline applications also includes event specific data such as equipment failure, replacement of equipment, and predictive maintenance. There is a huge amount of data, however, operators require specific data to optimize operations of pipelines. Thus, big data analytical tools are used to derive quality information through analysis, data verification, and validation,” says Raghav.
Growing penetration of LNG trade
Liquefied natural gas (LNG) provides flexibility of transporting natural gas from any location through the sea route. In 2015, the global LNG trade was estimated to be 244.8 MT and most of this demand originated from APAC. The region accounted for 139.8 MT of LNG in 2015 or 71.7% of the global LNG demand. To grab the opportunity of increased demand, LNG exporting countries such as Qatar, Australia, Russia, and the US are expanding their investments in LNG and increasingly catering to the Asian market.
The LNG trade has posed a challenge to the pipeline infrastructure investments in all the regions, particularly in the current scenario, where the upstream sector is facing challenges due to low crude oil and natural gas prices. It is anticipated that LNG will emerge as a major threat to the new pipeline investments over the forecast period and subsequently hamper the EPMS market growth.
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