ResearchMoz.us include new market research report " Global Farm Equipment Market Report 2014 Edition: Industry Size, Shares, Growth, Analysis, Trends And Forecast" to its huge collection of research reports.
Albany, NY -- (SBWIRE) -- 12/09/2014 -- Engineering inputs to agriculture by way of mechanization has increased considerably during the recent years so as to meet the timeliness of farm operations, reducing drudgery, capacity enhancement and efficient utilization of inputs. With the implementation of agricultural support policies, growth in farmer's income and the changes in agricultural production methods, global farm equipment industry is scaling new heights and promise healthy development in coming years.
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Growth in the global market for agricultural equipment is dependent on varied factors including economic scenario, weather and demand. Population growth is expected to fuel demand for agriculture produce, which in turn would lead to increase in demand for farm equipment. Rising standard of living and increasing personal disposable incomes in developing countries are expected to boost the demand for agricultural products and enhance the demand for protein rich foods. Further, governments in these countries are increasingly placing greater emphasis on enhancing productivity through automation or mechanizing traditional processes.
The report, "Global Farm Equipment Market" analyzes the development of the agricultural machinery industry and studies the market in terms of volume sales for the global market along with the regions- US, Canada, Brazil, Germany, United Kingdom, Turkey, China and India. The major trends, growth drivers as well as issues being faced by the industry are being presented in this report. The three major players in the industry, John Deere, AGCO Corporation, and CNH Global NV Inc. are being profiled, along with their key financials and strategies for growth.
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By combining SPSS Inc.'s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
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