IoT in agriculture is an emerging concept that is steadily being implemented by farmers across the globe. Integration of IoT (Internet of Things) in agriculture simply means increase in productivity with the help of most improved technologies. These technologies include automated machines, driverless cars, connected devices, and smart wearable devices for real-time monitoring.

New York, NY -- (SBWire) -- 10/06/2020 --Today, agriculture is heavily dependent on innovative devices with improved technologies owing to the increasing demand for food worldwide. Utilization of IoT in the domain ultimately impacts the prevailing challenges, such as environmental impact, weather conditions, and climate changes positively. In addition, mechanical improvements, such as harvesters, tractors, and more have improved the speed of agricultural operations, thereby impacting the reduced gap between demand and supply of food.

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. IoT in Agriculture Market can be attributed to several factors, which have led to its wide-scale adoption. Rising adoption of IoT by farmers and increasing use of drones in precision farming are anticipated to further contribute to market growth between 2019 and 2030.

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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.

To obtain better insights pertaining to the market scenario, prominent players are increasingly focusing on collaborative initiatives with several institutes, research centers and companies. For instance, In April 2019, Decisive Farming, a leading integrated farm management platform announced partnership with DTN, a leading provider for actionable weather and agricultural insights. Through this collaboration, decisive farming customers were provided with increased access to precision agriculture and weather insights to help them boost production and decrease costs.

Research objectives:-

- To study and analyze the global IoT in Agriculture Market consumption (value & volume) by key regions/countries, product type and application, history data.
- To understand the structure of the IoT in Agriculture Market by identifying its various sub-segments.
- Focuses on the key global IoT in Agriculture Market manufacturers, to define, describe and analyze the sales volume, value, market share, market competitive landscape, SWOT analysis, and development plans in the next few years.
- To analyze the IoT in Agriculture Market with respect to individual growth trends, future prospects, and their contribution to the total market.
- To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

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IoT in Agriculture Market by Offering -

1.Hardware,
2.Software,
3.ervices

IoT in Agriculture Market by Application -

1.Precision farming,
2.Precision forestry,
3.livestock monitoring,
4.Smart greenhouse,
5.Fish farm monitoring and others

Regional Overview:

Asia Pacific has been identified as the fastest-growing market for IoT in Agriculture market and is anticipated to contribute significantly to the global market share. This can be attributed to growing population & increase in their demands for food, and growing demand to protect crops from unpredicted climatic changes. Countries in the APAC, such as India, China, and Japan, are anticipated to provide significant growth opportunities for the global IoT in Agriculture market owing to adoption of this technology.

Table of Content:

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

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

3.ABSTRACT OF THE STUDY

4.MARKET DYNAMICS ASSESSMENT
1.Overview
2.Drivers
3.Barriers/Challenges
4.Opportunities
5.UNIQUE SELLING PROPOSITIONS (USPs)
1.Technological Advancements in IOT: Agriculture

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In the end, IoT in Agriculture Market industry report specifics the major regions, market scenarios with the product price, volume, supply, revenue, production, market growth rate, demand, forecast and so on. This report also presents SWOT analysis, investment feasibility analysis, and investment return analysis.

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