Expansion of Connected Agriculture Market to Remain Consistent During 2017 - 2027

The Connected Agriculture Market report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

Connected Agriculture Market: Drivers and Challenges

The key driving growth in the market for connected agriculture is the source of mobile telecommunication which can connect the farmers to different markets such as finance, education, can check commodity price, weather forecast, different agriculture techniques, commodity exchanges, different traders, sellers and buyers for the agriculture products for farming. This will increase the production in farming and proper use water and greenhouse gas emission. By this, many telecommunication service providers are focusing on connected agriculture, as the demand is increasing.

By mobile, the farmers use payment services, where they can trace their payment which is given to traders, or loans taken from the bank and many other things. Connected agriculture technology is enhancing farmer’s capability to have financial transaction easily, especially in rural areas.

In contrast to this, many farmers don’t know how to use this different technology and their functions on mobile or on the internet. Many farmers are still living in remote areas due to poverty where they don’t have access to the internet or telecommunication services.

Connected Agriculture Market: Key Players

The key players in connected agriculture market are Vodafone PLC, Syspro, Trimble Navigation Limited, SAP A.G, Cisco Systems, Inc., Orange Business Services, Microsoft Corporation, Epicor Software Corporation, SAGE.

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Connected Agriculture Market: Regional Overview

Connected Agriculture Market is currently dominated by North America and region due to fast development in global technology. Asia Pacific Connected Agriculture Market is expected to have the highest growth rate during the forecast period.

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