The global market for Harvesting
Machinery is forecast to reach US$36.8 billion by 2024, driven by the acute
pain of agricultural labor shortages made more intense against a backdrop of
growing population and food demand, urgent need for arable land expansion and
farm productivity improvements to achieve food security goals. Other major factors
spurring growth in the market include prioritization of agricultural
development in several countries; increased government subsidies and
availability of credits for advanced agriculture technologies; farm
consolidation in developed countries and a parallel rise in demand for large
sized agricultural machines and vehicles; growing prominence of climate change
adaptation planning in agriculture and the ensuing shift towards biofuel
operated harvesting machinery; growing investments and land acreage committed
to energy crop cultivation against the backdrop of rising demand for biofuel
consumption and stringent fuel blending regulations. The robust outlook for
floriculture and environmental horticulture also bodes well for market growth. 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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