The global market for Enterprise
Manufacturing Intelligence is projected to reach US$5.2 billion by 2025, driven
by the growing focus on improving manufacturing competitiveness against the
backdrop of factors such as dynamic market environments, rapidly changing consumer
needs and expectations, growing proficiency of competitors, cost pressures and disruptive
rise of myriad technology options. The competitive load on the manufacturing sector
is intensifying as the era of globalization creates boundary less business and
trade transactions. In the face of low cost competition from China, manufacturing
companies in North America, Europe and Southeast Asia are feeling the urgent
need for improve their manufacturing competitiveness. And key in this regard is
the use of business intelligence (BI) tools to assimilate data and generate
insights that can improve production processes and productivity. Given that the
manufacturing industry has inherently complex, multiple, convoluted operational
processes and networks, efficient management and monitoring has always been a
challenge. The emergence of Industrial Internet of Things (IIoT), better known
as Industry 4.0, has further amplified this challenge and has pushing up the importance
of manufacturing intelligence. Under this scenario it is important for companies
to transform and adopt data-driven approaches by utilizing big data and data
analysis tools. 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
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