Agriculture IoT Market Share, Scope & Industry Analysis 2026


Posted June 2, 2023 by ctom7000

Precision aquaculture application segment to register higher CAGR during the forecast period

 
Agriculture IoT market is estimated to grow from USD 11.4 billion in 2021 to USD 18.1 billion by 2026 at a CAGR of 9.8% during 2021–2026.

The advent of advanced technologies such as guidance systems, variable rate technology, IoT, AI, and remote sensing has transformed the agriculture industry into a technologically intense and data-rich industry. Smart agriculture technologies assist in increasing profitability, improving sustainability, protecting the environment, and minimizing the consumption of resources such as water, fertilizers, and energy. IoT is implemented in various applications, including precision farming, livestock monitoring, precision aquaculture, smart greenhouse.

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Opportunity: Growing adoption of UAVs or drones in agricultural farms

Unmanned aerial vehicles (UAVs) or drones are quickly moving from battlefields to agricultural fields; they capture highly accurate aerial images up to hundreds of hectares/acres in a single flight, thereby saving a lot of money in the process. Agricultural drones are cheaper than surveillance drones, and they come with advanced sensors and imaging abilities that provide farmers with new ways of increasing crop yield and reducing wastage of resources.

Generally, farmers use satellite imagery and planes to monitor crops. However, these methods are time-consuming, and the data collected through these methods take a longer time to process and analyze.

Challenge: Unavailability of simple and standardized data management and data aggregation tools

Data aggregation is a major challenge in the agriculture IoT market. The data obtained from farms using smart agricultural tools is highly important as this data helps farmers in making productive decisions. In precision farming, large volumes of crucial data pertaining to mapping, variable rate seeding, soil testing, yield monitoring, and historical crop rotation is produced regularly. This data must be stored and managed properly as successful precision farming relies entirely on it for assessing farm conditions. Data management is the key to making smart farm-management decisions and improving farm operations.
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Issued By Tom
Country United Kingdom
Categories Advertising
Tags agriculture iot market
Last Updated June 2, 2023