The global market for Automotive
Ceramics is projected to reach US$1.8 billion by 2025, driven by the rise of new
materials gaining ground in automobile manufacturing. A large variety and types
of materials are used to manufacture a car such as iron, aluminum, steel,
glass, rubber, petroleum products, copper, and steel. These materials over the
years have evolved to become more reliable, durable and safer. Automotive materials
are today in the technology spotlight as OEMs face intense pressure to build cars
that are sophisticated, smart, powerful, lightweight, energy/fuel efficient, and
viable for end of life recycling. Several of the demands placed on vehicle characteristics
are paradoxical in nature. For instance, lightweighting should be achieved without
loss of strength and speed properties; and engine downsizing for fuel economy should
be implemented without compromising on vehicle torque and performance; among
others. The scenario brings innovative materials to the forefront of engineering
and design to help achieve these dueling design and performance requirements. These
materials include ceramics, polymers, and polymer fibers and lower density
metals. Ceramic materials especially feature a unique combination of physical
and mechanical properties such as high hardness, high elastic modulus, low
density, sufficient flexure, and good compressive strength. 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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