The global Die Casting market is
projected to reach US$94.1 billion by 2025, driven by the growing demand for
lightweight yet high performance components in industries ranging from electronics,
lighting, automotive, aircraft, telecommunications, medical equipment, and hydraulics,
among others. Die Casting, over the decades, has emerged into a widespread and
extremely popular metal forming and processing process for producing metal
parts. Defined as a process wherein molten metal is poured into a die-casting
mold using high pressure, die-casting offers numerous advantages such as
enabling high-speed production; ability to produce complex geometric shapes
with precision; eliminates the need for machining; reduces material wastages;
high degree of dimensional accuracy and stability; die-cast parts are heat
resistant and have higher mechanical strength than plastic injection moldings;
enables smooth or textured metal finishing; ability to be easily electroplated
with little or no surface preparation; simplifies the assembly line process as
fastening elements can be cast into the mold; the process offers consistent
quality and is repeatable; and longer durability and lifespan of components. The
scenario is creating opportunities for new uses and applications of die-cast
parts and components. 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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