See how Land O'Lakes, Microsoft, Pivot Bio, Intellias and Stern Kessler are shaping the AI in agriculture market, projected to reach USD 17.1B by 2035.
A Market Moving From Tools to Autonomy
We observed that agriculture is shifting from single-purpose software to connected, automated systems. Our analysis indicates the AI in agriculture market will grow from USD 2.4 billion in 2025 to USD 17.1 billion by 2035, a 21.8% CAGR. Based on our assessment, labor shortages and precision input optimization are the two forces driving this change.
Farm labor is getting harder to find, so growers want machines that need less help. At the same time, precise inputs cut fertilizer and crop protection costs per hectare. Based on our evaluation, these pressures will shape product roadmaps through 2035.
For an In-depth Analysis of the AI in Agriculture Market, .
Key takeaway: Growers are buying outcomes, not software. Vendors that prove lower labor needs and cheaper inputs per hectare will capture the strongest share of the USD 17.1 billion opportunity by 2035. Buyers will reward proof in the field, so measurable results matter more than feature lists.
The sizing split below shows how the market breaks down across its segments.
**[Segment Axis], 2025–2035 (USD Billion)**
| Segment | 2025 | 2035 |
|---|---|---|
| [Segment 1: verified report figure pending] | [X.X] | [X.X] |
| [Segment 2: verified report figure pending] | [X.X] | [X.X] |
| [Segment 3: verified report figure pending] | [X.X] | [X.X] |
| [Segment 4: verified report figure pending] | [X.X] | [X.X] |
| Total | 2.4 | 17.1 |
Source: Agriculture Industry Insights Analysis, 2026
Total market value rises from USD 2.4 billion to USD 17.1 billion, and every segment must add up to that figure. Our analysis indicates the fastest gains will come from segments tied to autonomous and assisted machinery.
Land O'Lakes, Inc.
Land O'Lakes, Inc. is a cooperative owned by its farmer members, headquartered in Arden Hills, Minnesota. Its core business covers farm inputs, crop nutrition, and digital agronomy services across North America. The AI in agriculture market shapes its strategy because data-driven advice helps members place inputs more precisely.
[Dated 2025–2026 development pending verification from an official company channel.] Once confirmed, this item should be tied to precision input and AI-driven agronomy demand. Sources: [Verified official URL pending].
"[Pull-quote placeholder: verified executive quote with name, role, organization and official source URL, or Agriculture Industry Insights interview excerpt with role and month.]"
Our assessment indicates Land O'Lakes is positioned as a trusted data and input partner for growers. Its cooperative structure gives it direct farmer access, which matters as precision tools move from pilots to daily use. Future momentum will depend on proving field-level returns.
Microsoft Corporation
Microsoft Corporation is a global technology company headquartered in Redmond, Washington. Its agriculture work centers on cloud platforms, data services, and AI models that help farm operators analyze field data. The AI in agriculture market matters to Microsoft because farms are becoming data-driven enterprises that need cloud and AI infrastructure.
[Dated 2025–2026 development pending verification from an official company channel.] Once confirmed, this item should be linked to partner-built farm tools running on Microsoft cloud services. Sources: [Verified official URL pending].
Our analysis indicates Microsoft competes as a platform provider rather than a machinery maker. Its strength lies in partners who build farm-specific tools on its cloud. That model fits a market projected to reach USD 17.1 billion by 2035, although competition for data standards will intensify.
Pivot Bio, Inc.
Pivot Bio, Inc. is a biotechnology company headquartered in Berkeley, California. It develops microbial products that help crops access nitrogen from the air. The AI in agriculture market shapes its work because field data helps tune products for specific soils and climates.
[Dated 2025–2026 development pending verification from an official company channel.] Once confirmed, this item should be connected to data-driven product performance and nitrogen efficiency. Sources: [Verified official URL pending].
We noticed that Pivot Bio's model depends on proven field results, which AI analytics can strengthen. Its position is strongest where nitrogen cost and emissions concerns push growers toward biological options. Growth will depend on showing consistent yields across regions.
Intellias
Intellias is a software engineering firm headquartered in [HEADQUARTERS CITY, COUNTRY: verify]. It delivers custom software, AI, and data engineering services to clients across several industries, including agriculture. The AI in agriculture market shapes its strategy because agritech clients need custom models and system integration.
[Dated 2025–2026 development pending verification from an official company channel.] Once confirmed, this item should be linked to AI engineering capacity for agricultural clients. Sources: [Verified official URL pending].
Based on our evaluation, Intellias gains from the market's growth without owning the farm-level product. Its value depends on winning engineering contracts from platform builders and equipment makers. Its future position will rest on delivering reliable AI systems at scale.
Inside the AI in Agriculture Market Report
Segment sizing, key player profiles, and forecasts to 2035 for the AI in agriculture market.
Stern Kessler
Stern Kessler is [ORGANIZATION TYPE: verify] headquartered in [HEADQUARTERS: verify]. Its agriculture activities are [SCOPE: verify against official profile]. The AI in agriculture market shapes its strategy by creating demand for specialized advisory and implementation services.
[Dated 2025–2026 development pending verification from an official company channel.] Once confirmed, this item should be tied to its role in AI adoption across agricultural clients. Sources: [Verified official URL pending].
Our assessment indicates Stern Kessler's position depends on converting market growth into repeat client work. Its credibility will rise if it can show measurable outcomes from AI deployments. Forward progress will hinge on clear proof of results.