The
global market for Forklift is projected to reach US$23.9 billion by 2025 driven
by the strong focus shed on automation and production efficiency in the era of
smart factory and industry 4.0. Smart manufacturing is the new revolution that
will mark the next generation of production and warehousing. Self-aware,
self-optimized, self-configured equipment with the ability to wirelessly
communicate with each other; advanced networking; real-time controls; more
closer alignment of business management and plant floor activities and supply
chains; additive manufacturing are few of the disruptive smart factory trends
currently underway. Among these,
“automation” lies at the heart of the smart factory concept. Almost like the
beating heart, automation provides the foundation for the creation of
knowledge-embedded manufacturing operations. Automating labor intensive
operations is the starting point for automation, and as the most labor
intensive process in manufacturing and warehousing, material handling is at the
bottom of the automation pyramid. Defined as the movement of products and
materials throughout the manufacturing process, material handling is labor
intensive and expensive. Benefits of automating material handling include
reduced human role in unproductive, repetitive and labor intensive tasks and
the ensuing freeing up of resources for other core activities; greater
throughput capability; better space utilization; increased production control;
inventory control; improved stock rotation; reduced operation cost; improved
worker safety; reduced losses from damage; and reduction in handling costs. 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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