Agricultural Robots Market Size and Share

Agricultural Robots Market Analysis by Mordor Intelligence
The agricultural robots market is valued at USD 18.0 billion in 2025 and is projected to reach USD 41.3 billion by 2031, representing a 18.1% CAGR. Factors such as escalating labor costs, decreasing sensor prices, and the rise of subscription-based robotics-as-a-service models are making autonomous equipment more accessible to mid-tier farms. This shift is accelerating the commercialization of these technologies across row-crop, specialty-crop, and dairy operations. Between 2022 and 2025, over USD 1 billion was funneled into harvesting and weeding start-ups, underscoring a robust supply of mature technology products poised to fill the gap left by seasonal labor shortages. Advancements in hardware, like LiDAR systems priced under USD 1,000 and affordable machine-vision cameras, are driving down material costs and expediting design processes. Government incentives, ranging from eco-schemes by the European Commission to precision-agriculture grants in the United States, are promoting verifiable reductions in chemical inputs. These incentives particularly favor robots that can produce audit-ready data. Collectively, these dynamics are steering value towards software and data analytics. Fleet-management platforms are emerging as pivotal tools, transforming machines into continuous sources of agronomic insights.
Key Report Takeaways
- By product type, unmanned aerial vehicles and drones led with 36.0% revenue share in 2025, while harvesting and picking robots are forecast to expand at a 18.9% CAGR through 2031.
- By application, crop farming accounted for 44.0% of the agricultural robots market share in 2025, and greenhouse farming is projected to advance at a 17.4% CAGR through 2031.
- By component, hardware captured 58.0% of the agricultural robots market size in 2025, whereas software is anticipated to grow at a CAGR of 16.7% between 2026 and 2031.
- By geography, North America accounted for 33.0% of the revenue in 2025, whereas the Asia-Pacific region is anticipated to grow at a CAGR of 14.8% during the forecast period.
Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of January 2026.
Global Agricultural Robots Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Accelerating labor shortages in industrialized farming nations | +4.2% | North America, Europe, Japan | Medium term (2-4 years) |
| Declining price of machine-vision cameras and LiDAR | +3.1% | Global | Short term (≤ 2 years) |
| Policy incentives for sustainable and precision farming | +2.8% | Europe, North America, China | Long term (≥ 4 years) |
| Venture-capital influx into autonomous harvesting start-ups | +2.3% | North America, Europe | Medium term (2-4 years) |
| Synergistic use of agricultural robots with carbon-credit platforms | +1.7% | Europe, North America, Australia | Long term (≥ 4 years) |
| Ag-robot subscription models boosting SME affordability | +2.1% | Global | Short term (≤ 2 years) |
| Source: Mordor Intelligence | |||
Accelerating Labor Shortages in Industrialized Farming Nations
Farm labor scarcity is reshaping capital-allocation priorities across the United States, Europe, and Japan. In the United States, only 637,000 hired crop workers were counted in April 2025, despite the temporary worker visa program issuing 310,676 visas in 2023, indicating that guest-worker inflows cannot fully offset domestic labor exits[1]Source: UK Department for Environment, Food and Rural Affairs, “Improving Farm Productivity Grant Guidance,” gov.uk. Japan projects that its farmer population will plunge below one million by 2030, with an average age surpassing 68 years, and similar demographic pressures are also haunting Germany, France, and the Netherlands. Specialty crops such as strawberries and apples, which still depend on hand-picking, face the greatest risk because scheduling errors or sudden worker shortages can wipe out full-season profits. Autonomous harvesters that replicate repetitive human motions offer an economic breakeven once hourly labor costs exceed USD 18, a threshold already surpassed in California and Western Europe, as growers redesign orchards and row spacing to accommodate machines. Labor savings compound over multiple seasons. Because a full crop cycle is needed to embed new practices, the impact on market growth is concentrated in the medium term.
Declining Price of Machine-Vision Cameras and LiDAR
Rapid cost deflation in sensors is lowering entry barriers for both equipment makers and growers. Solid-state LiDAR units, which cost USD 10,000 in 2020, dropped below USD 1,000 by late 2024, a 90% reduction driven by economies of scale in the automotive sector. Camera modules with onboard inference chips decreased in price from USD 500 to under USD 150 per unit between 2022 and 2025. Deere integrated Nvidia Jetson edge-AI boards into its See and Spray Ultimate platform to process 20 images per second and trigger nozzles within 50 milliseconds, slashing herbicide volumes by up to 80%. Lower sensor bills shorten product development cycles, encourage modular designs, and open doors for regional manufacturers that could not previously afford expensive research and development. The affordability gains materialize immediately upon shipment, resulting in a significant short-term growth contribution.
Venture-Capital Influx into Autonomous Harvesting Start-Ups
Capital availability has swung from scarcity to abundance. Carbon Robotics, maker of laser-based weeders, raised USD 70 million in October 2024 and plans to scale manufacturing to 500 units by 2025. Orchard Robotics secured USD 22 million in September 2025 for fruit-intelligence analytics that guide robotic pickers. FarmWise has closed a USD 45 million round in 2022 to expand its per-acre weeding service. Funding accelerates hiring, tooling, and dealer-network build-out, compressing the timeline from prototype to commercial availability. Because hardware field validation and farmer onboarding require at least two seasons, the contribution to market growth peaks in the medium term.
Synergistic use of Agricultural Robots with Carbon-Credit Platforms
Agricultural robots are evolving into data engines for soil-carbon programs operated by companies such as Nori and Indigo Ag. Robots’ embedded sensors produce timestamped, geotagged records of tillage, cover crops, and fertilizer placement that manual logs cannot replicate. Deere’s Operations Center exports machine-generated data directly to credit registries, helping growers capture payments of USD 13 to USD 20 per metric ton of carbon in Australia’s Emissions Reduction Fund. The emerging revenue stream defrays leasing fees and strengthens the business case for automation. As market rules continue to harmonize, growth acceleration is anticipated to unfold over the long term.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Inter-operability gaps among multi-vendor farm platforms | -1.9% | Global | Medium term (2-4 years) |
| Low internet-of-things (IoT) coverage in rural zones | -1.6% | South America, Africa, rural Asia-Pacific | Long term (≥ 4 years) |
| High up-front retro-fitting cost for legacy implements | -1.3% | Europe, North America | Short term (≤ 2 years) |
| Cyber-security concerns around GNSS spoofing of ag-robots | -0.8% | Global | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Inter-Operability Gaps Among Multi-Vendor Farm Platforms
Most equipment brands maintain proprietary data formats that prevent seamless coordination across mixed fleets. Deere Operations Center, CNH Industrial Raven Autonomy, and AGCO Fuse each apply unique message protocols, forcing growers either to standardize on one supplier or invest in middleware integration. The Agricultural Industry Electronics Foundation has published ISO 11783 standards. However, vendors often add private extensions to protect their competitive moats. Farmers who attempt cross-brand automation confront data silos, incompatible map layers, and duplicative subscriptions. Integration consulting can inflate the total cost of ownership and slow project rollouts. Because standards adoption historically stretches over five to seven years, the restraint’s drag on market growth is classified as medium-term.
Low Internet of Things Coverage in Rural Zones
Autonomous equipment relies on continuous connectivity for real-time monitoring and fleet coordination, yet broadband gaps persist. The Federal Communications Commission reported that rural areas in the United States still lack 25/3 megabit broadband, and 5G coverage remains spotty outside urban centers[2]Source: Federal Communications Commission, “2024 Broadband Deployment Report,” fcc.gov. In sub-Saharan Africa and rural South America, internet penetration is below 30%. Robots can operate offline using edge processing, but growers lose the ability to update missions, receive alerts, or push data to carbon platforms. Satellite and low-power wide-area networks offer partial solutions but come with subscription fees. Because tower construction and fiber backhaul build-outs require multi-year investments, the restraint’s impact extends into the long term.
Segment Analysis
By Product Type: Unmanned Aerial Vehicles and Drones Lead
Unmanned aerial vehicles and drones captured 36.0% of the agricultural robots market share in 2025 as growers embraced their dual ability to scout fields and spray inputs with centimeter-accurate targeting. The DJI Agras T50 drone carries a 40-kilogram payload and covers 20 hectares per hour, trimming application time by 60% compared to ground sprayers[3]Source: DJI, “Agras T50 Specifications,” dji.com. The large-scale adoption of aerial robots in rice and wheat paddies across China and Southeast Asia highlights the ease of integrating them into existing workflows. Notably, data gathered by drones feeds into variable-rate fertilizer models, linking equipment spending to tangible yield gains. Hardware manufacturers are layering subscription-based analytics on top of one-time drone sales, turning flight data into recurring revenue streams. As satellite imagery improves, drones continue to hold an edge in spatial resolution and flexible deployment windows, thereby preserving their leadership across various crop types.
Harvesting and picking robots are projected to grow at a CAGR of 18.9% between 2026 and 2031, the fastest trajectory in the agricultural robots market. Orchard platforms that once moved workers now carry robotic arms to pick apples, peaches, and berries. Soft-grip end-effectors and machine-vision cameras track fruit ripeness, while laser targeting reduces bruising and boosts pack-out rates. Laser weeding systems from Carbon Robotics already demonstrate field-ready durability, removing 5,000 weeds per minute. Venture funding is accelerating commercial pilots across California, Washington, and New South Wales, with service providers guaranteeing per-acre cost parity with seasonal labor by the third season. As controlled-environment agriculture expands, robots tailored to greenhouse tomatoes, cucumbers, and leafy greens will further diversify revenue, driving the category’s out-performances.

Note: Segment shares of all individual segments available upon report purchase
By Application: Crop Farming Leads, Greenhouse Farming Accelerates
Crop farming commanded a 44.0% market share of agricultural robots in 2025, as growers of corn, soybeans, and wheat leveraged autonomous tractors and spray drones to cover broad acreages with centimeter-level precision. The scale and uniformity of these row-crop fields enable robots to log long duty cycles and generate high-quality data sets that refine variable-rate prescriptions season after season. Livestock management accounted for a significant share in 2025, driven by robotic milking, health-monitoring collars, and automated feeding systems that enable dairy operators to reduce labor hours by half while enhancing yield consistency. Dairy-specific solutions, such as the Lely Astronaut A5, can handle up to 60 cows a day, freeing workers for higher-value herd-health tasks and validating payback timelines of fewer than four years.
Greenhouse farming is forecast to expand at a 17.4% compound annual growth rate through 2031, the fastest trajectory within the application mix, because controlled-environment layouts make vision-guided robots immediately productive. Vertical-farm operators in North America and Western Europe now rely on robotic transplanters and harvesters to operate around the clock in facilities where human labor costs exceed and ergonomic risks rise quickly. Technologies first proven in open-field weeding, such as Naïo Technologies Oz platform, are now adapted for greenhouse tomatoes and cucumbers, enabling precise blade control that avoids delicate stems. As urban agriculture scales, continuous production cycles feed a steady data stream into artificial-intelligence engines, raising the strategic worth of robots beyond labor substitution and helping boost the overall agricultural robots market size.
By Component: Hardware Dominates, Software Gains Momentum
Hardware delivered 58.0% of revenue in 2025, as each autonomous tractor or dairy robot embeds USD 100,000 to USD 150,000 worth of mechanical and electronic parts, ranging from ruggedized frames to multispectral cameras. The cost of these components still dictates initial purchase decisions, particularly for growers evaluating whether to retrofit or replace aging fleets.
Software, however, is projected to grow at 16.7% annually through 2031, the quickest component pace, because edge-artificial-intelligence algorithms now deliver real-time weed recognition, yield estimation, and route optimization without cloud latency. Deere See and Spray Ultimate processes twenty images per second on Nvidia Jetson boards, triggering nozzles within fifty milliseconds and cutting herbicide volumes by up to 80%. As update cycles shorten to quarterly over-the-air releases, subscription fees linked to performance gains drive gross margins higher than those from hardware sales alone. Consequently, software value capture is shifting the revenue center of the agricultural robots market size toward data analytics and predictive decision support.

Note: Segment shares of all individual segments available upon report purchase
Geography Analysis
North America held a 33.0% share in 2025, bolstered by large row-crop farms in the Midwest and high-value specialty crop operations in California, where the average hourly wage for hired labor was USD 19.52. The serial production of the Deere autonomous 8R tractor in 2024 provided corn and soybean growers with a commercial path to full-season driverless operation. Canada’s Prairie provinces introduced provincial rebate programs covering up to 30% of autonomous upgrades, increasing adoption in the wheat and canola sectors. Despite robust dealer networks, interoperability barriers among major brands temper growth because growers hesitate to lock into single-vendor ecosystems.
The Asia–Pacific region is projected to grow at a rate of 14.8% per year through 2031, the fastest regional pace. Japan faces a rapid demographic contraction, with the average age of farmers exceeding 68 years. To address this, the Ministry of Agriculture, Forestry, and Fisheries subsidizes autonomous rice transplanters capable of planting 10 hectares daily. China’s plan to achieve 30% smart-farming coverage by 2025 channels funds into domestic manufacturers such as FJDynamics, which shipped its five-thousandth autonomous mower, at a rate equivalent to the average hourly wage for the fastest-performing region in the Asia-Pacific region, enhancing collective autonomy. Australia leverages robotic weeders to counter herbicide-resistant ryegrass, and Carbon Robotics deployed 20 LaserWeeder units across Queensland and New South Wales in 2024.
In Europe, Germany, the Netherlands, and France together installed more than 10,000 Lely, DeLaval, and GEA milking robots in 2024, cutting labor hours by half and improving yield consistency. The Middle East and Africa, though comparatively smaller, are piloting robots in hydroponic greenhouses where water scarcity and heat stress limit human labor.

Competitive Landscape
The agricultural robots market exhibits moderate concentration, with the top five players, Deere & Company, DJI, CNH Industrial N.V., AGCO Corporation, and Lely, accounting for the majority of global revenue in 2025. Deere leverages a network of 1,500 dealers across North America to bundle autonomy upgrades with agronomic advisory, anchoring its ecosystem around the Operations Center cloud platform. DJI transfers consumer-drone scale efficiencies into agricultural models, claiming a 70% share of global ag-drone shipments in 2024. CNH Industrial integrated Raven Industries' guidance software after a USD 2.1 billion acquisition, deepening vertical control over hardware and telematics. Patent filings emphasize computer-vision algorithms and sensor fusion. Deere alone holds more than 200 active patents for precision spraying and autonomous navigation.
Start-ups remain vital in specialty niches. FarmWise and Naïo Technologies offer per-acre service models for high-density vegetable plots, providing flexibility that large equipment vendors currently lack. EcoRobotix’s solar-powered ARA robot cuts herbicide use by 95%, attracting European vegetable growers subject to strict pesticide regulations. Consolidation is anticipated to intensify as incumbents absorb niche innovators, mirroring Deere’s prior acquisition of Blue River Technology and AGCO’s purchase of Precision Planting.
Agricultural Robots Industry Leaders
Deere & Company
CNH Industrial N.V.
AGCO Corporation
Lely
DJI
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- November 2025: At Agritechnica 2025, AGCO's Fendt brand launched the next-gen Fendt Xaver GT, an autonomous robotic platform for precision seeding and crop care, featuring diesel-electric power for long operation, AI, adjustable track width, and a new mid-mount for diverse implements, alongside investments in South America, emphasizing efficiency and sustainability in smart farming.
- September 2025: Orchard Robotics secured USD 22 million in Series A funding to scale its fruit-intelligence software into Washington and California orchards.
- February 2025: Carbon Robotics has introduced the LaserWeeder G2 product line, featuring lighter, modular designs and increased speed to serve farms of various sizes, ranging from smaller operations to large farms of 80 to 800 acres, with models tailored to meet diverse needs.
- October 2024: Carbon Robotics secured USD 70 million in a Series D funding round, spearheaded by NVentures. The company revealed ambitions to ramp up production of its LaserWeeder platform. This innovative platform utilizes computer vision and CO2 lasers to eliminate weeds without the use of chemicals.
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
According to Mordor Intelligence, the agricultural robots market includes every autonomous or semi-autonomous machine, plus related software and after-sales services, that performs on-farm tasks such as seeding, spraying, milking, harvesting, and field surveillance across open fields and protected-cultivation sites worldwide.
Systems used solely for warehouse handling or post-harvest pack-houses are outside this scope.
Segmentation Overview
- By Product Type
- Driverless Tractors
- Unmanned Aerial Vehicles and Drones
- Milking Robots
- Harvesting and Picking Robots
- Weeding Robots
- Others
- By Application
- Crop Farming
- Livestock Management
- Dairy Management
- Aquaculture
- Greenhouse Farming
- By Component
- Hardware
- Software
- Services
- By Geography
- North America
- United States
- Canada
- Mexico
- Rest of North America
- South America
- Brazil
- Argentina
- Rest of South America
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- Rest of Asia-Pacific
- Middle East
- Saudi Arabia
- United Arab Emirates
- Rest of Middle East
- Africa
- South Africa
- Egypt
- Rest of Africa
- North America
Detailed Research Methodology and Data Validation
Primary Research
We interviewed equipment dealers, drone integrators, dairy-co-op managers, and agronomy professors in North America, Europe, and Asia Pacific.
These expert conversations clarified robot utilization hours, prevailing average prices, and adoption triggers, letting us refine assumptions surfaced earlier.
Desk Research
We collected macro indicators from the Food and Agriculture Organization, USDA, Eurostat, and China's Ministry of Agriculture, reviewed patent families through Questel, and drew company revenue splits from D&B Hoovers and public 10-Ks.
Labor-wage series from the World Bank and shipment clues in Volza helped size the spend pool and average selling prices.
The sources named illustrate only a slice of the libraries consulted; many additional public datasets supported data gathering, validation, and clarification.
Market-Sizing & Forecasting
We begin with a top-down farm spending pool reconstructed from global cropland area, livestock headcount, and regional labor-cost escalation, then apply penetration rates confirmed during expert calls.
Supplier revenue roll-ups and sampled average price multiplied by unit shipments provide selective bottom-up cross-checks that adjust totals.
This top-down and bottom-up alignment secures internal consistency before forecasts are run.
Key model levers include the farm-labor wage index, annual drone shipments, average robot ASP, hectares managed with precision agriculture, and ag-tech venture funding.
A multivariate regression on these drivers generates the 2025-2030 outlook, while scenario analysis gauges subsidy shocks.
Regionally weighted averages vetted by experts bridge any input gaps.
Data Validation & Update Cycle
Outputs face anomaly checks versus trade, patent, and financial series, and we route unusual variances to senior reviewers before sign-off.
Reports refresh every year, with mid-cycle updates when major policy or technology shifts occur.
A fresh analyst pass precedes each delivery so clients receive the latest view.
Why Mordor's Agricultural Robots Baseline Commands Reliability
Published estimates often diverge because providers choose different scopes, variables, and refresh schedules.
Some count hardware alone, others fold in software subscriptions, while a few convert currencies with fixed rates that ignore inflation.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver |
|---|---|---|
| USD 25 B (2025) | Mordor Intelligence | None |
| USD 16.6 B (2024) | Global Consultancy A | Excludes software and services, fixed FX rates |
| USD 17.1 B (2025) | Industry Journal B | Relies on shipment survey without farm-spend triangulation |
| USD 21.0 B (2024) | Regional Consultancy C | Includes post-harvest warehouse robots outside Mordor scope |
The comparison shows that Mordor's disciplined scope selection, dual-track modeling, and annual refresh create a transparent, reproducible baseline decision-makers can trust.
Key Questions Answered in the Report
How large is the agricultural robots market in monetary terms in 2026?
The agricultural robots market size reached USD 18.0 billion in 2026.
What annual growth rate is anticipated for agricultural robots through 2031?
The market is projected to expand at an 18.1% compound annual growth rate, reaching USD 41.3 billion by 2031.
Which product class currently dominates sales of agricultural robots?
Unmanned aerial vehicles and drones lead with 36.0% revenue share in 2025 due to widespread use in scouting and precision spraying.
Which geographic region is forecast to be the fastest growing?
Asia-Pacific is set to grow at 20.8% annually through 2031, spurred by Japanese and Chinese government subsidies and labor shortages.
What business model is gaining traction among smaller farms?
Robotics-as-a-service, which converts capital cost into subscription payments, is accelerating adoption by small and mid-sized growers.




