The global market for Fire Resistant
Fabrics is projected to reach US$5.4 billion by 2025, driven by the ever-present
threat of fire accidents despite stringent fire safety regulations in workplaces and factory floors. Growing awareness
over the importance of fire prevention plans is resulting in voluntary adoption
of fire safety measures by companies. Rising costs of non-compliance to worker safety
regulations in the form of hefty penalties and expensive legal services and
guidance is also encouraging investments in personal protective equipment (PPE). The most important motivation for
investing in fire resistant clothing is the significant economic and financial
losses caused by fires to not just property and assets but most importantly the
unquantifiable social cost of loss of life and injuries. Human loss and
suffering is immeasurable. Fire-related fatalities and injuries
continue to remain high especially in high risk hazardous work environments like
oil and gas; chemical plants; process plants; metalworking job shops; among
others. Demand for fire safety wear is therefore growing as flame-retardant
(FR) and flame-Resistant (FR) clothing are the first line of personnel
protection against fire. Fire resistant fabrics, defined as fabrics naturally resistant
to flames and embers with the ability to naturally self-extinguish, are therefore
witnessing increased R&D interest. Fire retardant fabrics, on the other
hand, are chemically treated to resist fire. Read More…
The Global Market for Big Data Technologies and Services is Projected to Reach $60 Billion by 2022
GIA launches comprehensive analysis of industry segments, trends, growth drivers, market share, size and demand forecasts on the global Big Data market. The global market for Big Data Technologies and Services is projected to reach $60 billion by 2022 , driven by soaring digital data volumes in organizations and the resulting need to turn this data into valuable insights for enhancing operational efficiency, tapping new opportunities and gaining competitive edge. Defined as a natural result of mankind’s obsession with information technology and digitalization, “Big Data” refers to extremely large sets of structured, semi-structured and unstructured data of different types, including text, audio or video, generated from diverse data sources that has the potential to be mined for required information. While data supply associated with big data ecosystem has always been large and voluminous in most organizations, the ability to use these large datasets and convert them into meaningf
Magnificent beat ! I wish to apprentice while you amend your web site, how could i subscribe for a blog site? The account helped me a acceptable deal. I had been tiny bit acquainted of this your broadcast offered bright clear idea. Alex Shcolyar
ReplyDelete