Global Precision Farming Industry: Trends & Opportunities (2015-2019) – Daedal Research

DELHI, India - Sept. 20, 2015 - PRLog -- The research report analyzes the regional markets of precision farming Americas, Asia-Pacific and Europe. The report also discusses key factors driving growth of the industry, major trends and challenges faced by manufacturers of hardware and software in precision agriculture. Further, major producers like AGCO, Land O’Lakes, Deere and Company and Topcon Precision Farming Company are also analyzed in the report.

Various Features of Precision Farming Industry

Global Positioning System
Mapping Software
Yield Mapping
Variable Rate Technologies

Company Coverage

AGCO
Deere and Company
Land O’Lakes
Topcon Precision Agriculture

Executive Summary

With the increased population and simultaneous increase in demand for food, the agricultural productivity has to increase. There are two ways to increase the production, one is to increase the arable land and the second is to increase the yield per acre. Precision agriculture is one way of increasing the yield per acre of the land. Precision agriculture is one of the modern farming practices that make production more efficient and helps the farmers to work in a better way.

The emerging field of precision agriculture is based on observing, measuring and responding to crops with smart technology. Drones — also called unmanned aerial vehicles (UAV) or unmanned aerial systems (UAS) – are giving farmers new possibilities. The precision agriculture industry is growing and increasing to become more efficient because of various growth drivers. The increasing population and increased expenditure on food products is one of the most important and significant growth drivers. Simultaneous inefficiency in increasing the arable land is one of the major growth drivers for the industry. Increased use of GNSS and increased flow of information are the other important growth drivers.

List of Figures

Figure 1: Contribution of Agriculture to Nominal GDP of Various Countries, (In %), 2014
Figure 2: Processes under Precision Agriculture
Figure 3: Total Revenue of Global Precision Farming Industry, (in US$ Billions), 2009-2014
Figure 4: Forecasted Total Revenue of Global Precision Farming Industry, (In US$ Billions), 2015-2020
Figure 5: Total Revenue of Global Precision Farming Equipment Industry, (In US$ Billions), 2009-2014
Figure 6: Forecasted Total Revenue of Global Precision Farming Equipment Industry, (In US$ Billions), 2015-2019
Figure 7: Total Revenue of Precision Farming Software Industry, (In US$ Billions), 2009-2014
Figure 8: Forecasted Total Revenue of Precision Farming Software Industry, (In US$ Billions), 2009-2014
Figure 9: Forecasted Total Revenue of Automation and Control System Technology, (In US$ Billions), 2014-2020
Figure 10: Forecasted Total Revenue of Sensing and Monitoring Technology, (In US$ Billions), 2014-2020
Figure 11: Forecasted Total Revenue of Farm Management Technology, (In US$ Billions), 2014-2020
Figure 12: Segmentation of the Global Precision Market by Region, (In %), 2014
Figure 13: Total Revenue of the North American Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 14: Forecasted Total Revenue of the North American Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 15: Total Revenue of the South American Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 16: Forecasted Total Revenue of the South American Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 17: Total Revenue of the Asia-Pacific Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 18: Forecasted Total Revenue of the Asia-Pacific Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 19: Total Revenue of the European Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 20: Forecasted Total Revenue of the European Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 21: Total Revenue of the European Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 22: Forecasted Total Revenue of the European Precision Agricultural Industry, (In US$ Billions), 2009-2014
Figure 23: Total world Population, (In Billions), 2007-2014
Figure 24: Land under agriculture as a percentage of total Land of the world, (In %), 2005-2012
Figure 25: Total revenue of the real estate industry, (In US$ Billions), 2009-2014
Figure 26: Global GDP per capita, (In US$), 2007-2013
Figure 27: Number of Installed Base for GNSS devices, (In Thousands), 2006-2013
Figure 28: segmentation of the increased number of GNSS units by Region, 2013
Figure 29: Global Information Shared and Created, (In Zettabytes), 2007-2014
Figure 30: Total Net Sales of AGCO, (In US$ Billion), 2010-2014
Figure 31: Total Net Sales of Land O’Lakes. Inc., (in US$ Billion), 2010-2014
Figure 32: Segmentation of the Total Net Sales of Land O’ Lakes, (In %), 2014
Figure 33: Total Revenue of Deere and Company, (In US$ Billions), 2009-2014
Figure 34: Net Sales of Topcon Precision Agriculture, (In US$ Billions), 2009-2013
Figure 35: Segmentation of the Net Sales of Topcon by Regions, (In %), 2014
Table 1: Major Players in Global Precision Agriculture Industry, 2014

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