Agricultural Robots and Drones to Become a 45 Billion Dollar Industry by 2038
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Agricultural Robots and Drones to Become a 45 Billion Dollar Industry by 2038

Robotic technology is quietly transforming the world of agriculture. A report by IDTexchEx describes how this market will plausibly grow to become a US $45 billion industry by 2038. It also demonstrates how diverse this emerging industry is in terms of forms, functions and fortunes.

The report, titled ‘Agricultural Robots and Drones 2018-2038: Technologies, Markets, Players’, develops a detailed roadmap of how robotic technology will enter into different aspects of agriculture and how it will change the way farming is done. It provides 20-year forecasts for 16 categories including static milking robots, mobile dairy farm robotics, autonomous agricultural small robots (data scouts, weeding and multi-platform), autonomous tractors (simple guidance, autosteer, fully unmanned autonomy), robotic implements (simple and highly intelligent), robotic strawberry harvesting, robotic fresh fruit picking, and agricultural drones (data scouts, data services/analytics, multi-functional drones, unmanned spraying helicopters).

Will tractors evolve towards full unmanned autonomy?

Tractor guidance and autosteer are well-established technologies. In the short to medium terms, both will continue their growth thanks to improvements and cost reductions in RTK GPS technology. Indeed, it is estimated that around 700,000 tractors equipped with autosteer or tractor guidance will be sold in 2028. The report also predicts that tractor guidance sales, in unit numbers and revenue, will peak around 2027-2028 before a gradual decline commences. This is because the price differential between autosteer and tractor guidance will narrow, causing autosteer to attract more of the demand. Note that the model accounts for the declining cost of navigational autonomy (e.g., level 4 for autosteer).

Unmanned autonomous tractors have also been technologically demonstrated with large-scale market introduction largely delayed – not by technical issues but by regulation, high sensor costs and the lack of farmers’ trust. This will start to slowly change from 2024 onwards. However, the sales will grow only slowly. It is estimated that around 40,000 unmanned fully-autonomous (level 5) tractors will be sold in 2038. The take-up will remain slow as users will only slowly become convinced that transitioning from level 4 to level 5 autonomy is value for money. This process will be helped by the rapidly falling price of the automaton suite.

Overall, the model suggests that tractors with some degree of autonomy will become a US $27 billion market at the vehicle level (the model also forecasts the added value that navigational autonomy provides).

The rise of fleets of small agricultural robots

Autonomous mobile robots are causing a paradigm shift in the way people envisage commercial and industrial vehicles. In traditional thinking, bigger is often better. This is because bigger vehicles are faster and are thus more productive. This thinking holds true so long as each vehicle requires a human driver. The rise of autonomous mobility is, however, upending this long-established notion; fleets of small, slow robots will replace or complement large and fast manned vehicles.

These robots also appear like strange creatures at first: they are small, slow and lightweight. They are therefore less productive on a per unit basis than traditional vehicles. The key to success, however, lies in fleet operation. This is because the absence of a driver per vehicle enables remote fleet operation. The model in the report suggests that there is a very achievable operator-to-fleet-size ratio at which such agrobots become commercially attractive in the medium term.

This is currently just the beginning of the beginning. Indeed, most examples of such robots are only in the prototypes or early-stage commercial trial phase. These robots, however, are now being trialled in larger numbers by major companies whilst smaller companies are making very modest sales. The models suggest that the inflection point will arrive from 2024 onwards. At this point, sales will rapidly grow. These small agrobot fleets themselves will also grow in capability, evolving from data acquisition to weeding to offering multiple functionalities. Overall, it is anticipated the market will become as large as US $900 million and US $2.5 billion by 2028 and 2038, respectively. This will become a significant business but even then, it will remain a small subset of the overall agricultural vehicle industry. 

Implements will become increasingly intelligent

Implements predominantly perform a purely mechanical functional today. There are some notable exceptions, particularly in organic farming. Here, implements are equipped with simple row-following vision technology, enabling them to actively and precisely follow rows.

This is changing, however, as robotic implements become highly intelligent. Indeed, early versions essentially integrated multiple computers onto the implement. These are today used for advanced vision technology enabled by machine learning (e.g., deep learning). Here, the intelligent implements learn to distinguish between crops and weeds as the implement is pulled along the field, enabling them to take site-specific weeding action.

The authors of the report anticipate that such implements will become increasingly common in the future. They are currently still in their early generations where the software is still learning, and the hardware is custom-built and ruggedised by small firms. Recent activities, including acquisitions by major firms, suggest that this is changing.

Will robotics finally succeed in fresh fruit harvesting?

Despite non-fresh fruit harvesting being largely mechanised, fresh fruit picking has remained mostly beyond the reach of machines or robots. Picking is currently done using manual labour, with machines at most playing the part of an aid that speeds up the manual work.

A limited number of fresh strawberry harvesters are already being commercially trialled, and some are transitioning into commercial mode. Some versions require the farm layout to be changed and the strawberry harvester to be trained to help the vision system identify a commercially acceptable percentage of strawberries. Others are developing a more universal solution compatible with all varieties of strawberry farms.

Progress in fruit picking in orchards, however, has been slower. This is because it is still technically a challenging task; the vision system needs to detect fruits inside a complex canopy whilst robotic arms need to rapidly, economically and gently pick the fruit.

This is now beginning to change, albeit slowly. Novel end effectors including those based on soft robotics that passively adapt to the fruit’s shape, improved grasping algorithms underpinned by learning processes, low-cost good-enough robotic arms working in parallel, and better vision systems are all helping push this technology towards commercial viability.

The report forecasts that commercial sales – either as equipment sales or service provision – will slowly commence from 2024 and that an inflection point will arrive around 2028. The model suggests a market value of US $500 million per year for fresh fruit picking in orchards.

Drones bring increased data analytics into farming

Agriculture will be a major market for drones, reaching over US $420 million in 2028. Agriculture is emerging as one of the main addressable markets as the drone industry pivots away from consumer drones that have become heavily commoditised in recent years.

Drones in the first instance bring aerial data acquisition technology to even small farm operators by lowering the cost of deployment compared to traditional methods like satellites. This market will grow as more farmers become familiar with drone technology and costs become lower. The market will also change as it evolves; drones will take on more functionalities such as spraying, and data analytics services that help farmers make data-driven decisions will grow in value.

Note that the use of unmanned aerial technology is not just limited to drones. Indeed, unmanned remote-controlled helicopters have already been spraying rice fields in Japan since the early 1990s. This is a maturing technology/sector with overall sales in Japan having plateaued. This market may, however, benefit from a new injection of life as suppliers diversify into new territories

For more see www.IDTechEx.com/agri, and find out more about IDTechEx at www.IDTechEx.com.

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