Crop protection products are widely
used across the globe since they are very useful in safeguarding the crops
against various insects, diseases and pests. Pesticides are very important as
they improve the quality and yield of agricultural produce. Based on
applications, crop protection chemicals market can be bifurcated into three
types; herbicides, insecticides, and fungicides. Growth in the market is being
driven by an increasing demand for agricultural crops resulting from global
population growth, increasing standard of living and an increasing demand for
biofuels. The growing demand for agricultural crops lead to increasing crop and
food prices, acting as a further incentive for farmers to increase their
production and protect their harvests.
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A key trend observed within the market
is the rapidly growing generics segment. On the development front, there has
been an increase in the launch of new products by various companies. But there
are certain challenges which the industry is facing as of now which includes
environment and health effects. The major factors which will contribute in the
growth of the industry include growth in GDP, rising world population,
declining arable land per person and increasing urbanization.
The report studies the crop
protection market on a global scale and its various segments and also provides
detailed information regarding the key regional markets. The competition in the
global crop protection market is intense with few large players viz. Syngenta
AG, Bayer CropScience AG, BASF SE and Dow. In addition, global competitive
landscape along with the company profiles of the leading players in the market
is discussed in detail.
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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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