The global market for Autonomous Farm
Equipment is projected to reach US$128.8 billion by 2025, driven by growing government
and private sector investments in intelligent agriculture as the future of
sustainable farming. Major factors playing key roles in catalyzing revolutionary
changes in agricultural technologies include growing population and food demand;
escalating shortages in arable land due to soil pollution and use of
agricultural lands for industrialization and urbanization; need to increase
yields per acre; shortage of labor; growing carbon footprint of agricultural
activities; and rising urgency in addressing sustainability issues such as unacceptable
rise in pesticide residues, soil degradation, water wastages, herbicide
resistance in plants, and preventable losses in planting, growing, and harvesting.
All of these factors catalyze the concerns surrounding food security, and opens
up new revenue possibilities and opportunities for automation in agriculture. Achieving
sustainable food security supported by self-sustaining agricultural
mechanization strategy is emerging as the cornerstone for the growth of
automation in agriculture. Benefits of mechanized agriculture practices include
increase in crop yields per acre; increase in agricultural production;
productivity enhancements; increased efficiency of farming; lower costs;
improved farm profitability; enables more land reclamation; prevents soil
erosion; enables the shift from ‘subsistence farming’ to ‘commercial
agriculture; addresses the problem of labor shortages; and better use of land.
All these benefits help in increased crop production thereby increasing food
supply, the key to meeting food security goals. 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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