Connected Agriculture Market 2018 Receives a Rapid Boost in Economy due to High Emerging Demands by Forecast to 2022

“Connected Agriculture Market”
Global Connected Agriculture Market: By Component (Solution, Services, and Platform) – By Platform (Device Management, Application Enablement, and Connectivity Management) and By Application (Into Farming Planning and Management, Smart Logistics, Smart Irrigation, Agriculture Finance) Forecast 2022

Market Highlights:

Connected agriculture technology is the advanced version of information and mobile communication technology. Emerging countries such as China, India, and Indonesia of Asia Pacific region are considered to be regions of opportunities for the connected agriculture market. These are countries that lack the proper infrastructure for the agriculture sector in terms of sowing and harvesting techniques, packing and packaging, transporting, production, storing and food processing. Connected agriculture technology offers the farmers the proper skills and knowledge about various techniques to enhance the productivity of farms, usage of seeds and fertilizers, weather forecasting, and many more. Most of the countries are depended on monsoons, therefore, connected agriculture technology helps the farmers to get the regular updates of a weather forecast that prevents the farmers from loss of crops in-case of untimely rains or droughts.

The Connected Agriculture Market technology also provides the smart irrigation and smart water management system, which helps the farmers to cultivate the crops during their stipulated period.

Connected agriculture also offers various financial services such as micro-lending services, micro-insurance services, and mobile payments services. These services help the farmers to apply for the loan directly to the financial institution, direct transfer of the payments in their bank accounts and can check the commodity prices of the crops harvest and cultivated by them.

Enhancement of technology has encouraged the companies to invest more in the research and development sectors of agriculture and farmers to provide real-time information and services.

Increased number of telecom service providers and rising demand for advanced technology is expected to drive the market over the forecast period. Big IT firms such as Microsoft Corporation, IBM Corporations, and CISCO Ltd are constantly evolving new technologies to ease the burden on farmers to under the upgradation of existing mobile technology. On the other hand, lack of proper knowledge about the technology and high cost for the installation is expected to hinder the growth of the connected agriculture market over the forecast period.

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Major Key Players:

  • AG Leader Technology (U.S)
  • Microsoft Corporation (U.S)
  • IBM Corporation (U.S)
  • Cisco Systems Inc (U.S)
  • AT&T (U.S)
  • Accenture PLC (Ireland)
  • SAP A.G (Germany)
  • Orange Business Services (France)
  • Epicor Software Corporation (U.S)
  • Vodafone Group PLC (U.K)
  • SAGE (U.K)
  • Syspro Technologies (U.S)
  • Raven Industries, Inc (U.S)
  • AGCO Corporation (U.S)


The globally connected agriculture market is bifurcated into component and application.

Based on the component, the connected agriculture market is sub-segmented into solutions, services, and platform. Solutions are categorized into network management, asset management, SCADA systems for agriculture, and smart water management system. Services are segmented into professional services and managed services. Furthermore, Professional services include consulting services, integration and deployment services, and support and maintenance services. Additionally, Platform is segmented into device management, application enablement, and connectivity management.

Application segment is sub-segmented into farming planning and management, smart logistics, smart irrigation, and agriculture finance. The agriculture finance includes mobile information services, micro-lending services, micro-insurance services, and mobile payments services.

Regional Analysis:

Geographically, electronic article surveillance market has been bifurcated into North-America, Europe, Asia-Pacific Latin-America, and Middle-East & Africa.

The North American region is expected to lead the globally connected agriculture market over the forecast period due to advanced network infrastructure and the presence big IT firms such as Microsoft Corporation, Cisco System Inc, which are investing heavily on the research and developments for the connected agriculture to evolve enhanced agricultural techniques for the farmers. The U.S. and Canada are the leading countries in the North American region. Asia Pacific region is expected to have a significant growth over the forecast period owing to the presence of emerging economies such as India and China in the region, increasing number of telecom providers and mobile subscribers, and better ranking position, ease of doing business in India.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.

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Intended Audience:

  • Technology Investors
  • Research/Consultancy Firms
  • Connected agriculture software vendors
  • Automation and control system providers
  • Environment and regulatory authorities
  • System integrators
  • Connectivity providers
  • Managed service providers
  • Cloud service providers
  • Telecommunication service providers
  • Agricultural associations
  • Agricultural automation providers

Table of Contents

1        Executive Summary

2        Scope of the Report

2.1       Market Definition

2.2       Scope of the Study

2.2.1    Research Objectives

2.2.2    Assumptions & Limitations

2.3       Markets Structure


List of Tables

Table1 World Population by Major Regions (2017 To 2023) 

Table2 Global Connected Agriculture Market: By Region, 2017-2023 


List of Figures

Figure 1 Global Connected Agriculture Market Segmentation

Figure 2 Forecast Methodology


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