The global market for Planting &
Fertilizing Machinery is forecast to reach US$15.5 billion by 2024, driven by
the untapped potential offered by low levels of farm automation in developing
regions and replacement sales in developed markets supported by continuous
innovation and addition to new technology features and functions. A key trend
driving sales growth is the need among agriculturists across the globe to hedge
the risks posed by worsening labor shortages with automated machinery and meet
farm productivity goals to remain competitive and support national level food
security goals. Against the backdrop of population growth, the need to increase
food production by achieving optimum productivity on limited arable land is
rendering mechanization of farming activities a necessity. Benefits of
mechanization making it an important national priority in agriculture
development include increase in per man productivity; increased production in
the form of higher yield of land per unit of area; lower cost of labor and a
parallel reduction in cost of production and food prices; aids in better use of
land; helps preserve soil fertility and reduce risk of soil erosion; helps
farmers shift from ‘subsistence farming’ to ‘commercial agriculture; reduces
dependence on labor and decouples the industry from labor shortage risks; higher farm income. 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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