The global market for Automated Guided
Vehicles (AGVs) is projected to reach US$2.6 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. 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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