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IOT IN AGRICULTURE MARKET WITNESS EXCELLENT GROWTH AT A CAGR OF ~10% BY 2030 | CISCO SYSTEMS, AKVA GROUP, AG LEADER TECHNOLOGY

Summary

Market Industry Reports (MIR) has published a new report titled “IoT in Agriculture Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2019–2030.” According to the report, the Global IoT in agriculture Market is estimated to be over US$ […]

Market Industry Reports (MIR) has published a new report titled “IoT in Agriculture Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2019–2030.” According to the report, the Global IoT in agriculture Market is estimated to be over US$ ~12.9 Bn by 2019. The market is anticipated to grow at a CAGR of ~10% from 2019 to 2030.

Top Key Players:

Some of the prominent players in the IoT in Agriculture market include Deere & Company, Trimble Inc., Cisco Systems, Inc., AKVA group, Ag Leader Technology, Decisive Farming, Telit, AllflexUSA Inc., OnFarmSystems Inc., SmartcultivaCorporation, among others.

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Growing Factor:

The problem for the agriculture industry Despite combating challenges like extreme weather conditions, rising climate change, and farming’s environmental impact, the demand for more food has to be met. To meet these increasing needs, agriculture has to turn to new technology in Internet of things.

In the IoT-based smart agriculture, a system is built to monitor areas of the plant with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automate the irrigation system. Farmers can monitor field conditions from anywhere. IOT-based smart farming is highly efficient when compared with conventional approaches.

Segmentation:

Market by Offering-

Hardware
Software
Services

Market by Applications-

Precision Farming
Precision Forestry
Livestock Monitoring
Smart Greenhouse
Fish Farm Monitoring
Others

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Table of Contents

INTRODUCTION
Market Definition
Market Classification
Geographic Scope
Years Considered for the Study: Historical Years – 2016 & 2017; Base Year – 2018; Forecast Years – 2019 to 2030
Currency Used

RESEARCH METHODOLOGY
Research Framework
Data Collection Technique
Data Sources
Secondary Sources
Primary Sources
Market Estimation Methodology
Bottom Up Approach
Top Down Approach
Data Validation and Triangulation
Market Forecast Model
Limitations/Assumptions of the Study

ABSTRACT OF THE STUDY

MARKET DYNAMICS ASSESSMENT
Overview
Drivers
Barriers/Challenges
Opportunities

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