John Deere already controls nearly 35 percent of the U.S. farm equipment market, dominating sales in large tractors and combines. Now the company is pushing that dominance way beyond metal and moving parts. On September 1, Deere announced it’s moving aggressively into farm data, software, and artificial intelligence, a shift that could lock farmers into a closed ecosystem where they cannot make major farming decisions without John Deere’s permission, approval, or fee.
This is consolidation by a different name. It’s not just about selling equipment anymore. It’s about owning the data that flows from your fields, owning the software that tells you when to plant and spray, and owning the algorithms that decide what your farm looks like.
Investigate Midwest reports that Deere’s grip is even stronger in major equipment markets such as large tractors and combines. The company’s market share is so dominant that farmers often have no practical alternative. If you run large-scale row crops or livestock, you buy a green tractor. Then you’re locked in.
Deere’s move into AI and data is an extension of a strategy that’s already trapped thousands of farmers. When you buy a John Deere tractor, you don’t own the software. You license it. You can’t modify your equipment to add aftermarket components without Deere’s approval. You can’t let an independent mechanic fix it. The company has sued farmers and hobbyists for doing exactly that. And now, the company wants the same control over your data.
Farm data is valuable. Every season, your equipment collects terabytes of information about your soil, weather, crop performance, and input costs. That data feeds machine learning models that get smarter year after year. A farmer with good soil data can reduce nitrogen, cut input costs, and adapt faster to climate stress. Deere sees that data not as yours, but as a product it can own, sell, and use to train its own AI.
The pattern echoes an earlier consolidation move in farm equipment. Each acquisition, each closed software ecosystem, each licensing agreement chips away at a farmer’s ability to own and control their own operation. A few years ago, it was right-to-repair fights over tractors. Now it’s going to be fights over who owns your field data and who gets to access the AI that interprets it.
The real danger is lock-in. Once a farmer has ten years of soil, weather, and yield data sitting in Deere’s cloud, switching to a competitor becomes nearly impossible. The competitor won’t have the data history, won’t have trained models, and won’t have the same insights. Deere will have built the walls high enough that the farmer is trapped.
This plays into a larger corporate strategy in agriculture: move from selling products to capturing the farm as a service. Monsanto did it with seed patents and trait stacking. Precision agriculture companies are doing it with subscription data and satellite imagery. Meatpackers did it by buying ranches directly. Deere is doing it by controlling the machinery, the software, the data, and now the AI that decides what you plant and spray.
A farmer with independent access to their own data, independent repair options, and independent equipment choices has leverage. They can shop for the best seed, negotiate fertilizer contracts, fix their own equipment, and switch brands. A farmer locked into Deere’s ecosystem has none of those options. They’re not managing a farm anymore; they’re operating a node in Deere’s data network.
The precedent is already set in other industries. Amazon controls not just the marketplace but the logistics, the payments, the data on what sells, and the AI that recommends products. Apple controls hardware, software, and services in a closed loop that customers can’t exit. Deere is building the same moat around American farmland.
What makes this different and more urgent is that farming is how the country eats. A consolidation strategy that works fine in phones or retail becomes genuinely dangerous when it’s applied to food production. If a few companies control the equipment, data, and AI that farms depend on, they control the price and supply of the food that feeds the country.
The right-to-repair fight over John Deere equipment has been the focus of farmers and advocate groups for years. Independent repair shops, hobby farmers, and farmers’ rights organizations have pushed back hard. They’ve made real progress. But Deere’s move into farm data and AI outflanks all of that. You can win the right-to-repair fight and still lose farmer independence if the company owns the data and AI that your farm depends on. Keeping land in farmer hands and keeping farms independent is becoming harder as corporations control more layers of the supply chain.
For now, Deere is positioning this as a service: AI-powered insights to help farmers be more efficient. Sell it that way and farmers will adopt it. And once adoption is high enough, once farmers have years of data locked in, once competitors can’t match Deere’s data advantage, the company has won. It won’t have to force anything. The walls will be high enough that farms can’t climb out.
