Market Research Report
IoT Solutions for Farming and Agriculture Overview - Sensors, Drones, Data Analytics, and Connectivity: Market Outlook and Forecast 2021-2030
|Published by||Guidehouse Insights (formerly Navigant Research)||Product code||1011628|
|Published||Content info||55 Pages; 47 Tables, Charts & Figures
Delivery time: 1-2 business days
|IoT Solutions for Farming and Agriculture Overview - Sensors, Drones, Data Analytics, and Connectivity: Market Outlook and Forecast 2021-2030|
|Published: June 1, 2021||Content info: 55 Pages; 47 Tables, Charts & Figures||
For many decades, available data across farms and fields has been recognized as underused ground truth. Smart farming and Internet of Things (IoT) technologies for agriculture markets are nascent and emerging. Sensors and actuators, GPSs, drones, automation, and big data are combining in several applications to realize the fourth green revolution. These technologies and the IoT deployments in agriculture provide near-real-time monitoring of environmental conditions, data for daily interventions, and insights for long-term operational decisions.
Platforms and software enable data analysis for crop and animal management and increasingly individual plant and animal metrics and behavior analysis. Their adoption helps farmers and growers employ technology to improve operations, production, and efficiency. Applications that connect IoT devices with sophisticated data insights are creating new business models to increase crop and plant yields, optimize land usage, and promote agile resource allocation.
This “Guidehouse Insights report” covers the sensing and connectivity technologies that provide the foundations for IoT deployments across three main industries for smart agriculture: precision farming, smart greenhouses, and livestock tracking and monitoring. The market forecasts cover these technologies and network requirements to identify the price points for IoT deployments across the three verticals. The scope is intentionally broad in its coverage of IoT use cases, hardware, and software solutions for the agriculture industry. Technologies such as automated hardware and robotics, AI, and machine learning have the potential to catalyze technology adoption in the future as costs and technology literacy barriers are addressed.