Agricultural Robot Market Impressive Growth at 23.0%

Aboli More
Aboli More

Updated · Jul 28, 2026

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Overview

New York, NY – July 28, 2026 – The global agricultural robot market was valued at USD 17.0 billion in 2025. It is projected to reach approximately USD 134.1 billion by 2035, expanding at a CAGR of 23.0% between 2026 and 2035. North America led the market in 2025 with a 38.9% share and generated nearly USD 6.6 billion in revenue.

Agricultural robotics is gradually moving beyond trial projects toward large-scale commercial use. Farmers are adopting autonomous machines to improve accuracy, reduce manual work, and maintain operations for longer hours.

In October 2025, the International Federation of Robotics reported that around 19,500 agricultural robots were sold worldwide in 2024. Although sales declined by 6%, agriculture remained the fourth-largest professional service-robot application.

Labor costs are also supporting automation. In November 2025, the USDA Economic Research Service reported average 2024 hourly wages of USD 18.24 for crop, nursery, and greenhouse workers and USD 19.07 for agricultural equipment operators. U.S. wage and salaried agricultural employment increased from 1.07 million jobs in 2010 to 1.18 million in 2024. Rising labor costs and seasonal worker shortages are encouraging farms to automate repetitive and physically demanding activities.

Food-security pressure is another important growth factor. The World Bank expects global food demand to increase by 30% by 2050, creating a need to produce more food while using limited land, labor, and water resources efficiently.

Government-supported testing facilities are helping agricultural robotics companies move new technologies toward commercialization. In January 2025, the European Commission reported that agrifoodTEF had developed a catalogue of more than 200 artificial intelligence services.

More than 50 of these services were already being delivered to innovators. The programme aims to support over 5,000 innovators, with small and medium-sized enterprises representing at least 75% of participants.

In June 2025, USDA NIFA confirmed that autonomous robots were being developed for labor-intensive harvesting. Artificial intelligence systems were also being applied to crop, soil, and livestock monitoring.

The International Federation of Robotics reported that the professional service-robot rental fleet expanded by 31% in 2024. This growth shows that leasing and subscription models are becoming increasingly important in lowering equipment costs.

In February 2025, AGCO and SDF signed an agreement under which SDF would produce proprietary tractors of up to 85 horsepower for Massey Ferguson beginning in mid-2025.

Key Takeaways

  • Agricultural Robot market size is expected to be worth around USD 134.1 billion by 2035, from USD 17.0 billion in 2025, growing at a CAGR of 23.0%.
  • Unmanned Aerial Vehicles/Drones held a dominant market position, capturing more than a 40.30% share.
  • Milking held a dominant market position, capturing more than a 31.70% share.
  • Outdoor held a dominant market position, capturing more than a 68.90% share.
  • Farm Produce held a dominant market position, capturing more than a 74.20% share.
  • North America held a dominant position in the agricultural robot market, capturing a 38.9% share and generating USD 6.613 billion in revenue.

➤ For a deeper understanding, click on the sample report link: https://market.us/report/agricultural-robot-market/request-sample/

Report Scope

Market Value (2024)USD 17.0 Billion
Forecast Revenue (2034)USD 134.1 Billion
CAGR (2025-2034)23.0%
Segments CoveredBy Robot Type (Automated Harvesting Robots, Milking Robots, Driverless Tractors, Unmanned Aerial Vehicles/Drones, Others), By Application (Planting & Seeding Management, Spraying Management, Milking, Monitoring & Surveillance, Harvest Management, Livestock Monitoring, Others), By Farming Environment (Indoor, Outdoor), By End Use (Farm Produce, Dairy & Livestock)
Competitive LandscapeAGCO Corporation, Agrobot, Autonomous Solutions, Inc., Bonsai Robotics, BouMatic, Carbon Robotics, CLAAS KGaA mbH, CNH Industrial N.V., DeLaval, DJI Technology, ecoRobotix, FarmWise, GEA Group Aktiengesellschaft, Harvest Automation, Inc, John Deere, Other Key Players

Key Market Segments

By Robot Type

Unmanned Aerial Vehicles/Drones Lead with a 40.30% Share

In 2025, unmanned aerial vehicles and drones held a dominant position in the agricultural robot market, accounting for more than 40.30% of the total share. Their leadership was supported by increasing use in crop scouting, field mapping, pest identification, spraying, and plant-health monitoring. Drones fitted with multispectral cameras allow farmers to examine large agricultural areas quickly and detect crop stress before it develops into widespread damage.

The United States Department of Agriculture reported that aerial application represented almost 20% of crop production and protection products applied on commercial farms in the United States. The agency has also developed drone-based methods for measuring spray deposition, identifying cotton root rot, and supporting site-specific input application. The Federal Aviation Administration projected around 1.03 million registered commercial small drones in 2025, increasing to approximately 1.089 million in 2026, indicating continued expansion of the infrastructure supporting professional drone operations.

By Farming Environment

Milking Leads with a 31.70% Share

In 2025, milking robots held a dominant market position, capturing more than a 31.70% share. Their strong adoption was supported by the repetitive and time-sensitive nature of dairy farming, where milking must be completed consistently every day. Automated systems help dairy farms reduce manual workloads while improving the regularity and accuracy of milking operations.

In September 2025, a U.S. university study found that one automated milking system could serve approximately 60 to 70 cows per day. Individual cows could use the system between two and four times daily. These robots use transponders to identify each animal and rely on cameras or laser systems to position the milking equipment correctly.

Integrated sensors can also monitor milk yield, milk quality, milking frequency, and animal-health indicators. This information helps dairy operators detect problems earlier and manage each animal more precisely. A 2025 report from the USDA Economic Research Service also indicated that precision dairy technologies could support higher milk output with fewer cows while reducing waste during the milking process.

By Application

Outdoor Farming Leads with a 68.90% Share

In 2025, outdoor farming held a dominant market position, accounting for more than a 68.90% share. Growth was supported by the rising use of autonomous tractors, agricultural drones, robotic weeders, harvesters, and precision spraying systems across open fields, orchards, and large-scale crop farms. These technologies help farmers monitor crops, remove weeds, apply fertilizers and pesticides, and complete repetitive fieldwork with lower dependence on manual labor.

In June 2025, the United States Department of Agriculture stated that autonomous robots were being developed to harvest crops in larger volumes and at faster speeds than traditional workers. During the same month, U.S. corn planting reached 95.2 million acres, increasing by 4.61 million acres from the previous year. This extensive cultivated area highlights the potential role of robotic systems in outdoor farming operations.

From August 2025, a USDA-supported research project also began testing robots, drones, sensors, and autonomous equipment under real agricultural conditions. Such field-based trials are expected to support the development of more reliable robotic systems capable of operating in changing weather, soil, and crop environments.

By End Use

Farm Produce Leads with a 74.20% Share

In 2025, farm produce held a dominant market position, capturing more than a 74.20% share. The segment benefited from the growing use of robots in fruit picking, vegetable harvesting, precision spraying, weeding, sorting, and crop-quality inspection. Produce farming often involves delicate crops, narrow harvesting periods, and repetitive manual tasks, making automation valuable for maintaining quality and reducing losses.

In February 2026, the United States Department of Agriculture reported that vegetable and melon production covered 28 major crops during 2025, with sweet corn and tomatoes recording the largest harvested areas. In May 2026, the agency also reported that utilized production across 21 noncitrus fruit crops reached 15.8 million tons in 2025.

The USDA further highlighted a dual-arm fruit-harvesting robot that improved harvesting efficiency by up to 34%. This development shows how robotic systems can help growers shorten harvesting time, manage labor shortages, and handle high-value fruits and vegetables more consistently.

List of Segments

By Robot Type

  • Automated Harvesting Robots
  • Milking Robots
  • Driverless Tractors
  • Unmanned Aerial Vehicles/Drones
  • Others

By Application

  • Planting & Seeding Management
  • Spraying Management
  • Milking
  • Monitoring & Surveillance
  • Harvest Management
  • Livestock Monitoring
  • Others

By Farming Environment

  • Indoor
  • Outdoor

By End Use

  • Farm Produce
  • Dairy & Livestock

Regional Analysis

North America Leads the Agricultural Robot Market with a 38.9% Share

In 2025, North America dominated the agricultural robot market, accounting for a 38.9% share and generating approximately USD 6.613 billion in revenue. The region’s strong position was supported by advanced farming operations, established machinery manufacturers, developed digital infrastructure, and early adoption of autonomous agricultural technologies.

Farmers across the region increasingly use autonomous tractors, drones, robotic milking systems, precision sprayers, and smart monitoring equipment. These technologies help reduce labor-intensive work, improve field accuracy, and collect detailed information on crops, soil conditions, and livestock health.

In May 2025, the United States Department of Agriculture reported that 637,000 hired farm workers were employed during the April reference week. The average gross wage reached USD 19.52 per hour, representing a 3% increase from the previous year.

Top Use Cases

1. Autonomous Planting and Field Operations: Agricultural robots are increasingly used for planting, tillage, fertilizer application, and harvesting across large crop farms. Autonomous tractors and GPS-guided machinery can follow planned routes, reduce overlapping passes, and operate for longer hours with limited driver involvement. USDA data showed that guidance and auto-steering systems were used by 52% of midsize crop farms and 70% of large-scale crop farms in 2023. The potential operating area is substantial, as U.S. farmers planted 95.2 million acres of corn and 83.4 million acres of soybeans in 2025.

2. Crop Monitoring and Aerial Scouting: Drones and autonomous monitoring robots help farmers inspect crops, prepare field maps, identify pest outbreaks, and detect water or nutrient stress. Cameras fitted to drones can collect visible, thermal, and multispectral images much faster than manual field inspection. USDA stated that aerial application accounts for almost 20% of crop production and crop-protection products applied on U.S. commercial farms. Its research also covers drone-based detection of cotton root rot, spray deposition measurement, and site-specific crop management.

3. Precision Spraying and Input Management: Robotic and sensor-guided sprayers apply chemicals according to crop size, canopy density, and pest location. This limits unnecessary spraying and reduces chemical losses outside the target area. In its 2025 annual report, USDA reported that an intelligent orchard sprayer reduced pesticide volume by 58% and lowered non-target ground losses by 41%. The system maintained crop protection performance and saved approximately USD 114 per acre in annual insecticide and fungicide expenses.

4. Robotic Weeding: Robotic weeders use artificial intelligence, cameras, mechanical tools, lasers, or highly targeted micro-sprayers to distinguish weeds from crops. These machines can reduce repetitive manual work and limit the use of broad-area herbicide treatments. In March 2025, USDA-supported researchers published a field dataset containing 1,120 labelled images covering five weed species and eight crop species. The images were collected through a camera mounted on a robotic platform to improve real-time weed-identification models.

5. Fruit and Vegetable Harvesting: Harvesting robots are designed to identify mature produce, reach through crop canopies, pick fruits, and place them into collection systems without causing excessive damage. They are particularly valuable for apples, berries, tomatoes, peppers, and other crops with short harvesting windows. In August 2025, a USDA-supported dual-arm apple-harvesting robot achieved successful picking rates of 80.7% and 79.7% in two commercial orchards. Each arm recorded an average picking time of 5.97 seconds per apple, while the dual-arm design reduced harvesting time by 28% compared with a single-arm system.

Conclusion

The International Federation of Robotics reported that nearly 19,500 agricultural robots were sold worldwide in 2024, placing agriculture as the fourth-largest professional service-robot application. Adoption is also becoming economically important as average U.S. agricultural equipment-operator wages reached USD 19.07 per hour in 2024. Moreover, the World Bank expects global food demand to rise by 30% by 2050, increasing pressure on farms to improve productivity and resource efficiency.

Overall, future market growth will depend on affordable service models, reliable field performance, skilled maintenance networks, strong cybersecurity, and measurable financial returns for farms of different sizes.

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Aboli More

Aboli More

I'm Aboli More, I have been working at Prudour Pvt. Ltd. for over 7 years, starting in a content-focused role and progressing to a position where I manage digital content systems and performance analysis. My responsibilities include overseeing the structure and delivery of technical and research-based publications, monitoring digital trends, and supporting data workflows that enhance visibility and user engagement. I work closely with cross-functional teams to ensure that the published output meets quality standards, aligns with industry expectations, and reaches relevant audiences effectively.

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