Agriculture robots are machines that perform agricultural tasks with minimal human involvement. They are equipped with sensors, cameras, manipulators and other machinery which enable them to perform complex operations autonomously. Some common types of agriculture robots include harvesting robots, milking robots, weed control robots and livestock monitoring robots. Harvesting robots use computer vision and navigation technology to identify and pick ripe crops. Milking robots automatically attach milking cups to the teats of dairy cows, milk them and then detach. Weed control robots spray herbicides with precision to eliminate weeds and save chemicals. Livestock monitoring robots monitor the health and behavior of livestock through sensors and cameras.
The global agriculture robots market is estimated to be valued at US$ 15.26 billion in 2024 and is expected to exhibit a CAGR of 6.5% over the forecast period 2024 to 2031, as highlighted in a new report published by Coherent Market Insights.
Increasing automation in the agricultural industry is one of the major drivers of the agriculture robots market. Agricultural labor is scarce in developed countries and strenuous in nature. Robots eliminate heavy lifting, improve precision and reduce labor requirements. This allows farmers to increase productivity while reducing production costs. For instance, harvesting robots can pick 20-30% more crops accurately compared to manual labor. Another driver is the implementation of precision agriculture techniques. Precision agriculture uses robots, sensors and software to gather field data and optimize crop yield by varying fertilizer and water application based on soil and plant needs. This helps reduce agricultural inputs and boost profits. Data aggregation and analysis capabilities of agriculture robots enable precision agriculture.
The global agriculture robots market is segmented on the basis of type and farming application type. On the basis of type, the market is segmented into milking robots, UAVs/drones, driverless tractors, automated harvest robots and others. Among these, the milking robots segment dominated the market in 2024 accounting for around 45% of the total market share. This is majorly due to the growing demand from dairy farms across the globe to reduce the labour cost associated with manual milking of cattle.
Political: Governments across various countries are increasingly supporting the adoption of robots in agriculture through subsidies and funding for R&D activities. This is being done to increase farm productivity and efficiency.
Economic: Rising labour costs and shortage of agricultural workers is driving the demand for agriculture robots. These robots help reduce production costs for farmers by automating many farming tasks.
Social: Younger generations are less interested to take up agriculture as a career due to its labour intensive nature. Robots help overcome this challenge by automating repetitive and tedious tasks.
Technological: Advancements in robotics, drone, artificial intelligence and machine learning technologies are enabling the development of more autonomous and intelligent agriculture robots. This is expanding their applications in various farming tasks.
The global Agriculture Robots Market Growth is estimated to be valued at US$ 15.26 Mn in 2024 and is expected to exhibit a CAGR of 6.5% over the forecast period 2024 to 2031.
Regional analysis – North America dominated the market in 2024 accounting for over 30% of the total share due to rapid adoption of new technologies by large farms in countries like US and Canada. Europe is also a major market for agriculture robots currently.
Key players analysis – Key players operating in the agriculture robots market are BASF SE, Eastman Chemical Company, Merck KGaA, Evonik Industries AG, Tokyo Chemical Industry Co., , td., Alfa Aesar, TCI America, MP Biomedicals, Santa Cruz Biotechnology, Inc., Energy Chemical. These players are focusing on developing innovative products and solutions for a wide range of farming applications.
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it