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 growth of the agriculture IoT market is driven by factors such as increasing adoption of the Internet of Things (IoT) and artificial intelligence (AI) by farmers and growers, growing focus on livestock monitoring and disease detection, high demand for fresh produce, population growth, loss of arable land, surging adoption of aquaculture monitoring and feed optimization devices in developing countries, and strong government support for precision farming practices.

A major factor restraining the growth of the agriculture IoT industry is the requirement for high initial investments. Currently, agricultural IoT devices and tools are expensive, thereby making it unaffordable for smaller farmers in developed regions and most farmers in emerging economies. Apart from high initial monetary investment to deploy GPS, drones, and GIS, VRT, and satellite devices, precision farming also requires a skilled workforce to handle these technology-enabled devices.

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Driver: Increased adoption of VRT, remote sensing, and guidance technologies by farmers worldwide

Precision farming/smart farming could ensure high returns for agribusiness if used to its complete potential; it can help farmers battle the negative effects of nature on crops by collecting geospatial data of soil, livestock, and plant, and other inter-and intra-field information. Precision farming also provides inputs about the requirements for irrigation, liquid fertilizers, nutrients, herbicides, and pesticides, thereby reducing the wastage of resources and the overall cost of farming. The use of advanced technologies such as remote sensing, variable rate technology (VRT), guidance technology, yield mapping software, GPS, and data management software in agricultural practices help enhance land fertility and profitability, facilitate sustainable agriculture, maximize productivity, reduce the cost of farming, and decrease labor overheads.

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.

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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