South Korea Agriculture Robots Market

South Korea Agriculture Robots Market Summary

As per Transpire Insight Analysis, the South Korea Agriculture Robots Market size is estimated at USD 800 Million in 2025 and is anticipated to reach USD 685.8 Million by 2033, growing at a CAGR of 10.80% from 2026 to 2033.

South Korea is changing how farms work with robots. Tasks that used to rely on people are now being handled by machines. These systems can sow seeds, remove weeds, apply chemicals, move supplies, track crop health, and assist with harvest.

The main problem is not hard to see. Farms want dependable results, yet it can be tough to find stable staff. You notice this in older rural areas. Orchards also show it, since a lot of the work still depends on hand labor.Over the last three to five years, the move toward automation has grown faster. Early tools had clear limits. Newer setups use AI and can keep going with fewer workers. A national effort is also part of this shift. The Smart Agriculture Act started in 2024 and created a formal route to back automation and field work with less need for people at the site.

COVID-19 made the labor issue stand out more. Seasonal workers faced travel limits, so the usual labor flow fell. Crews in the field ended up short, and the gaps became harder to ignore.Because of this, farms and public research teams are putting more focus on robots that cut repetitive labor costs. They also help reduce the tough physical strain on farm workers. Trials are still part of the path, but they are not the only ones now. More farms are trying systems in conditions that match daily operations. When the same tasks repeat, these setups can lower costs over time.

South Korea Agriculture Robots Market Size & Forecast:

• South Korea Agriculture Robots Market Size 2025: USD 800 Million
• Expected Market Value 2033: USD 685.8 Million
• Forecast CAGR: 10.80%
• Key Profile: DJI Agriculture, Kubota Corporation, Yanmar Holdings, Hyundai Robotics, Doosan Robotics, Rainbow Robotics, John Deere, CNH Industrial, AGCO Corporation, Naïo Technologies, Harvest Automation, Carbon Robotics, FarmWise, Blue River Technology, Bosch.

Key Market Insights

• Gyeonggi and Jeolla lead the rollout of smart farm technology. Public reports do not, however, give a solid province-level market share figure for 2025.
• Jeolla routes and Gyeongsang horticulture corridors look like the quickest growth area for farm robots up to 2036. This growth is driven by greenhouse farming and niche crop types.
• In 2026, fixed-wing setups made up about 23.49% of South Korea’s market for farm robots and drones. This placed that group at the top among listed product types.
• After that, UAVs came in at roughly 20.06% in 2026. Air-based automation keeps spreading, especially for watching crops, making maps, and doing careful spraying.
• By category, planting and seeding robots are growing the fastest. They are projected to rise at about 15.09% per year through 2034 as field work becomes more automatic.
• Field and crop management stays central. Autonomous tractors, drones, and sensing tools are increasingly working together during day to day cultivation.
• Harvest work is picking up quickly too. AI robots help spot when crops are ready, and they estimate crop size and location before picking starts.
• In end use, farm produce leads. In the current forecast, robotics adoption for crop production looks stronger than for livestock.
• Bigger commercial farms are also a key target. Their higher workload makes the payback story for machines and robotics services easier to justify.
• Daedong rolled out the RT100 ag transport robot in February 2025. It was aimed at local fruit orchards, and it added to the company’s robotics line.

What are the Key Drivers, Restraints, and Opportunities in the South Korea Agriculture Robots Market?

Korea’s farm labor is getting smaller, and that is the main driver. In 2023, the ministry said farmers 65 and older made up 52.6% of the farming population. In 2020, the share was 42.3%. The Smart Farming Act started in July 2024. It set automation, precision methods, and unmanned work as clear policy goals. With those steps in place, the start-up barrier feels lower. The government trials also give farmers a real example to follow. At the same time, fewer workers can make the gains from machines look better. Under MAFRA’s plan for 2025 to 2029, smart tools are aimed at 20% of major field crop areas. It also targets 35% of 55,000 hectares of greenhouse land by 2029.

A major limit comes from cost pressures on small, split-up farms. Robots and other systems need more than the hardware. They also depend on sensors, driving controls, software, upkeep, and hands-on training. That means payback can be hard when the farm does not use the tools much. In 2024, Korea’s agricultural land was 1.505 million hectares. That was down 0.5% from the prior year. Labor needs do not stay steady across the seasons. Because of this, farms may wait longer to buy gear. They struggle to spread the total cost over enough work hours. Penetration then slows for smaller growers. Early sales tend to build first at larger farms, cooperatives, and places used for trials.

In May 2026, MAFRA reserved 32 GPUs for AI tasks in farming. This covers crop photo and image datasets. It also covers models for driving like field actions.With this plan, teams may not need to pay for the same work again and again. It may also let models perform more consistently at many farms.This is most useful when farms already collect clear machine data. Greenhouses and orchards fit. So do farms with field gear that logs what it does.

What Has the Impact of Artificial Intelligence Been on the South Korea Agriculture Robots Market?

Farm robots are starting to change fast. They are not limited to a set script anymore. Newer robots can take in what is in front of them and respond on the spot.This is helped by camera gear and other vision tools. These systems can judge how far along a crop is. They can also work out the crop height and where plants sit in a row. They may even pick out weeds or other objects that get in the way. After that, robots that pick, spray, cut, or carry can adjust what they do next. They can change routes or modify settings without someone staring at a screen all day.

In South Korea, teams are also improving how robots move outside. They blend RTK GPS with camera input and other sensors. Then they bring in AI to help the robot handle uneven outdoor scenes.Prediction models are moving ahead as well. More farm data makes it easier for machine learning to learn patterns. With those patterns, the system can point to likely crop conditions and support daily choices. In 2026, MAFRA handed out 32 GPUs for making crop growth datasets from images and video. It also backed companies that build AI for greenhouses and open fields. Using those datasets can support crop condition forecasts. They can help set better timing for when equipment should run, which can lift overall results.

MAFRA pointed to an AI picking robot that can harvest strawberries and cucumbers on its own. It can work for as long as 14 hours after a full charge. That helps cut down on the need for highly trained people in the field.Outdoor sites are not uniform. Terrain changes, light shifts, and plants do not grow the same way. Weather can also disrupt work, and network access may be weak at times. Because of this, a system trained in a tidy lab setting may need more rounds of updates and extra hardware work before it can be used in a real commercial operation.

Key Market Trends

• Since 2024, South Korea’s Smart Farming law has given clearer rules for automated farm work, more precise tools, and tasks done without people on site.
• MAFRA’s plan for 2025 to 2029 sets a target for smart tech to reach around 20% of the main field-crop land by 2029.
• That plan also includes greenhouse farms. By 2029, it looks to upgrade about 35% of Korea’s roughly 55,000 hectares of greenhouses with smart-farm systems.
• In 2025, Daedong changed its emphasis. It stepped away from plain farm machines and leaned more into robotics, including its RT100 self-driving transport platform.
• In 2025, TYM’s AI² Consortium went another way. It focused on connecting tractors, tools, and AI, instead of selling separate automation parts by themselves.
• Daedong also formed a KRW 70 billion Future Agriculture Fund in 2024. This fund supports AI, robotics, AgTech, and related smart farming efforts.
• In 2025, Doosan Robotics and Daedong widened their joint work. Their attention went to field robots and AI that can run directly on the device, even in tough outdoor farm conditions.
• Also in 2025, Hyundai Motor and Kia joined tests for agri robotics. They tried the X-ble Shoulder wearable robot with Korea’s RDA.
• In 2026, MAFRA put 32 GPUs to use. The aim was better AI data, more accurate checks on crops, and progress toward models for autonomous driving.
• AI-supported harvesting has been moving closer to commercial use. MAFRA selected 25 AI models for faster rollout across farming tasks.
• In 2024, there were more outdoor trials. RDA demonstrated autonomous tractors, rice transplanters, and drones for planting support and crop protection work.
• By 2030, analysts expect South Korea’s farm robot market to reach about USD 2.18 billion. That figure shows how big the automation push may become.

South Korea Agriculture Robots Market Segmentation

By Robot Type : 

Farming robots have drawn more attention lately. Some farms now have fewer seasonal workers. Pay rates are also higher than before. For that reason, more farm machines are being tested out in fields.Fruit picking robots can repeat the same task each day. You can find them in orchards and in greenhouses. Crop check robots watch plants and search for stress. They can also catch problems sooner than usual. Drones may fly over areas to monitor growth, build maps, and handle spray tasks. They work best when the area is wide. Autonomous tractors are doing more than just basic driver assist now. New GPS and GNSS tools, along with camera based guidance, help tractors drive with better accuracy.

Robots for weeding and spraying are also showing value. When farms use more exact equipment, less repeated hand work may be needed. They can also apply inputs in a tighter, more measured way. Seed placement robots can spread seeds more evenly in large plots. Milking robots can take over some of the hardest chores on livestock farms. More trials are expected as smart farm efforts gain support from public groups. Still, firms will likely choose tools that prove they save labor and work well in practice.

By Application : 

Crop monitoring is shifting toward newer tools. Many farms now use drones, cameras, sensors, and software that can spot issues early. Harvest time is also a good target for automation. Picking fruit and vegetables is repetitive work, and timing matters a lot. With AI tools, machines can check maturity and estimate size and placement before the crew starts harvesting. As this improves, robots are likely to show up more often in orchards, greenhouses, and farms that grow specialty crops.

Weeding and spraying are also changing. Instead of covering whole fields, new precision systems focus on the spots that need attention. Seeding and planting robots can place seeds more accurately. They also cut down on hands-on work during busy seasons. Irrigation and soil tasks are moving toward control based on sensor readings. Even livestock setups are adopting automation, such as feeding systems, ongoing checks, and milking units. How fast these tools spread will hinge on how dependable the gear is. It will also depend on the farm’s size, the crop or animal type, and proof that day to day costs can drop.

By Farm Type : 

Open lots work well for driverless tractors, drones, and other field robots. The ground is open, so the machines can keep going without long pauses. Crop watch apps and camera tools also match this kind of space.Greenhouses are a different setup. Light and heat stay close to the same each day. That steady routine makes robot travel easier and less chaotic. With a calm environment, AI can follow the same patterns more consistently.Many smart farms are also tying devices together. Sensors can send readings to machines that act on them. Farm software can then use those updates for daily steps. That can cover seeding runs, water schedules, plant checks, and picking or other harvest work.

Orchards suit robots that gather fruit and carry it to storage. They still need more help too, like mowing and ongoing checks. Those tasks come up again and again, so farms often feel higher demand for staff time.Indoor farms can run robots with fewer surprises. The spaces are laid out in an orderly way. Plant growth conditions also tend to be easier to predict.Livestock farms may add more milking gear and monitoring. The main driver is the need to handle labor limits that can throw off the usual flow of work.Vineyards and smaller farms may adopt these tools more slowly. With less land to cover, it is harder to pay for costly new equipment.

By Technology : 

Farm robots are using AI and machine learning more and more. They need to sort one crop from another. They must notice blocks or debris in the way. They also have to read what is going on across the plot and adjust their next move.Vision systems are central to this. They help robots spot crops. They can check how ready plants are for harvest. They can also flag weeds. They guide workers doing picking and related tasks.To move around safely, robots lean on GPS and GNSS in open ground. LiDAR helps them see obstacles clearly. It also supports building a 3D view of the area.Sensors connected through IoT add another layer. They pass data from farm tools to crop status and to weather updates. That lets the robot react sooner, in a tighter feedback cycle.

Self driving behavior is improving as multiple parts are combined. Location tools, cameras, sensor inputs, and on-board computers share the load. Together they support steadier control.In Korea, some tech teams are focusing on AI that runs on the device itself. That can speed up choices for robots outdoors. It can also reduce the need for a constant remote link.Strong training data still matters a lot. Farm scenes shift based on crop type, season, soil and ground feel, sun level, and day to day weather.MAFRA plans to set aside 32 GPUs in 2026. The goal is to support crop image datasets and models tied to autonomous driving.

By End User : 

Commercial farms are a big buyer group. When a site is large, it can run the same machines for longer stretches. Fewer idle hours means the cost per hour drops.Co-ops can also make robot use easier. They can share equipment. They can show operators how to work it during hands-on sessions. That can ease the worry about buying costly units on every farm.State farms and labs add another layer. They often test new gear first. After that, the tools can move into regular production when things look solid.Some companies offer a different option. A farm service firm may lease the robotic system and handle the setup too. That lets a farm try it without taking on full ownership.

Greenhouses tend to fit automation well. The layout is planned early. Because of that, robots can move with fewer disruptions. The data they collect is also more steady.Smaller farms deal with a harsher math problem. They pay up front, but they may only use the machines part of the year. That can push out when the investment is paid back.As shared setups spread, service partners can matter more. Farms may run automated machines as a service. Then they do not have to carry the full ownership burden.Public programs can help as well. Money for smart farm upgrades and live field demos can support commercial farms, co-ops, research teams, and greenhouse growers. It helps them move toward the same kind of systems.

What are the Key Use Cases Driving the South Korea Agriculture Robots Market?

The work is mostly crop monitoring and harvest duties. This shows up a lot on commercial farms, in orchards, and inside greenhouses. A number of buyers say they want robots. They hope this cuts down on tasks that get done over and over in the field. They also want harvest dates that stay more even. During peak season, staffing is hard to plan, so automation can smooth the schedule.

In greenhouses, robot systems for spraying and for moving crops are now giving clearer benefits. Teams that run protected growing are testing them more often. At the Iksan tomato farms, the spraying robots lowered the time needed by around 40%. The reports also point to better spray coverage, with an improvement above 15%.

More options are now being discussed too. Some teams are looking at robot setups for close weed control. Harvesting assist tools are also part of the same trend. Service firms and research groups are paying closer attention to these themes. MAFRA’s R and D plan for 2026 to 2030 highlights shared autonomous tractors, precision weeding, orchard support logistics, and drone based harvesting. That drone work uses physical AI. The aim is to turn these concepts into usable products during the forecast window.

Which Regions are Driving the South Korea Agriculture Robots Market Growth?

Gyeongsangbuk-do looks like the top place for deployments. I could not find a public record that states the exact market share for the area. Even so, the Smart Farm Innovation Valleys, the focus on agri tech programs, and the heavy orchard output add good testing conditions. Local farms and trial sites can help firms check autonomous harvesting, moving, and field monitoring setups. With strong horticulture, visible tech trials, and years of field records, the region should keep its lead into 2033.

Jeollanam-do brings in a steadier revenue pattern, mainly because of bigger plantings and broad farm infrastructure. The area also keeps funding smart agriculture steps. Government efforts that back rice work, self guided farm gear, and digital farm tools help equipment sellers and farm co-ops plan purchases. Because production is on a larger scale, machinery makers can show output gains over wider work zones. Regular farming work and routine equipment swaps should keep Jeollanam-do contributing through the forecast years.

Gyeonggi-do is moving fast right now. You can see more automation in greenhouse work. Smart farm support is also expanding. This is happening a lot around major city zones and near research centers.Public funding has played a role. The money is being used for smart farming upgrades. It also goes toward controlled environment farming. With that in place, AI tools for crop checks become easier to apply. The funding also helps with self driving style transport. It supports tighter control of how crops are grown.There is another benefit for companies building systems. Local tech access is strong. Research groups are close by too. This can shorten the gap between early trials and real product delivery for robotics groups.From 2026 through 2033, more new players may enter the region. Many may focus on full chain robotics. Some may sell AI software and sensing tools. A robotics service style plan seems likely to match what the market needs.

Who are the Key Players in the South Korea Agriculture Robots Market and How Do They Compete?

Competition stays mixed. The field has big makers of farm gear, robotics shops, AI groups, drone sellers, and smaller AgTech teams. In recent months, skill with tech has grown more important than just having a well known name. Focus areas keep circling around a few jobs: driving in fields, crop vision from cameras, AI that picks next steps, and software that works with tools already used on farms.Some older farm equipment brands are now pushing into robots. A few entrants also arrive with a smaller scope. Their pitch is one main task, such as picking produce, moving loads, or doing crop related work with tighter control.

Daedong is applying what it already knows from farm machinery to robot work that runs on its own. It cites the RT100 farm transport robot. Its direction looks set on automation that can fit into day to day farm use. Daedong also builds on ties with buyers of farm equipment. It wants to expand from orchard and field work into more robotic tasks. It also has backing from a KRW 70 billion Future Agriculture Fund set in 2024. The fund backs AI, robotics, AgTech, and smart farming. The intent is to take its tech work past normal tractor products.

TYM is moving in a wider setup. It does not rely only on sales of one machine at a time. The AI² Consortium connects tractors, attachments, and AI tools. The goal is to carry out farm work in a more joined way, with autonomy guiding steps. This can cut down on the time spent on fit and part matching at farms. It also gives TYM an edge with buyers who want connected equipment. Those buyers may lean toward systems that link together rather than buying stand alone robot units.

Doosan Robotics is teaming up with Daedong. The aim is to share robotics skills with farms that are outside. Their focus is on field robots. They also want AI that can run on the device itself. This is meant to help the robot decide faster when the ground is not neat and the conditions keep changing. Doosan is drawing on its own know-how in robotics and AI. Daedong is also involved, mainly with the practical side. They help make sure the system works in real farm use.

Hyundai Motor Company and Kia are joining the same kind of effort. They are working with Korea’s Rural Development Administration. Their target is wearable robotics for farm work. The tool is called X-ble Shoulder. It is designed to reduce strain on workers. It does not take care of crops by itself. Because of that, the main job is to support people. Overall, this pushes agricultural robotics beyond machines that only move like tractors. It also connects car-style robotics studies to tasks farmers face every day.

Company List

• DJI Agriculture
• Kubota Corporation
• Yanmar Holdings
• Hyundai Robotics
• Doosan Robotics
• Rainbow Robotics
• John Deere
• CNH Industrial
• AGCO Corporation
• Naïo Technologies
• Harvest Automation
• Carbon Robotics
• FarmWise
• Blue River Technology
• Bosch 

Recent Development News

In April 2026, Daedong announced the launch of Korea’s first AI tractor featuring vision AI-powered unmanned autonomous operation, expanding agricultural robotics from transport into autonomous field machinery.

Source: https://daedong-kioti.com/

In September 2025, TYM launched Korea’s first AI² Consortium with AI and machinery companies to develop AI-powered agricultural machinery, supporting integrated autonomous farming technology.

Source: https://group.tym.world/

What Strategic Insights Define the Future of the South Korea Agriculture Robots Market?

Over the next five to seven years, South Korea’s farm robot market may shift from one trick machines to larger farm systems. Buyers may prefer units that can travel across the work site, use onboard intelligence, scan the ground with sensors, and connect to farm management software. Labor gaps will still matter. However, the decision will likely hinge on getting more than one kind of work from the same robot, so the equipment stays in use longer. The point is not to trade one job for another. It is to use the same setup more times.

There is another risk that is less obvious. The market could end up depending on a short list of makers and robot suppliers. If that occurs, farms may find that parts do not match well across systems. Costs can rise when farms want to change tools later. As more farms adopt these systems, they may hit trouble that comes from a single component or a specific software tool that becomes hard to replace.

A good path could be better intelligence built right onto the robot for outdoor fields. Daedong and Doosan Robotics are already working on field robots for rough ground that does not behave the same way each day. Buyers may want robots with modular bases and tool sets that can be swapped. They should also check that data links are not kept behind closed systems, and that help is available nearby. With this kind of setup, one robot base could handle several tasks such as moving through the field, spraying, weeding, and harvesting.

South Korea Agriculture Robots Market Report Segmentation

By Robot Type

• Harvesting Robots
• Weeding Robots
• Seeding Robots
• Spraying Robots
• Autonomous Tractors
• Milking Robots
• Crop Monitoring Robots
• Drones
• Fruit-Picking Robots

By Application

• Crop Monitoring
• Harvesting
• Weeding
• Planting & Seeding
• Spraying
• Irrigation
• Soil Management
• Livestock Management

By Farm Type

• Open-Field Farms
• Greenhouses
• Orchards
• Vineyards
• Indoor Farms
• Livestock Farms
• Smart Farms

By Technology

• AI & Machine Learning
• Computer Vision
• GPS/GNSS
• LiDAR
• IoT Sensors
• Autonomous Navigation
• Robotics

By End User

• Commercial Farms
• Small Farms
• Agricultural Cooperatives
• Government Farms
• Research Institutes
• Greenhouses
• Agricultural Service Providers