AgTech: A Practical Driver of Growth and M&A in Agribusiness

Technology has always been central to agricultural productivity. From mechanization and crop genetics to precision inputs, each wave of innovation has enabled farmers to produce more with fewer resources.

Compared to past decades, what’s changing today is the speed and integration of technology (AgTech) into day-to-day farm operations. Digital tools, precision systems, and artificial intelligence (AI)-driven analytics are increasingly embedded across equipment, inputs, and management platforms.

Producers are using technology to improve output and reliability from existing assets rather than expanding land or labor. Precision farming, monitoring tools, and AI-supported analytics reduce variability in yields, improve planning accuracy, and limit exposure to weather and disease risk.

Technology is also lowering operating costs. More precise use of fertilizers, water, energy, and chemicals reduces waste, while automation and assisted machinery reduce reliance on labor.

These advancements protect margins and improve scalability, making technology-enabled operators more resilient and in turn, attractive targets in the broader agribusiness M&A market.

AgTech adoption continues to expand across U.S. agriculture, but the pace and direction are largely being shaped by practical economics rather than experimentation.

Larger and more commercially managed operations are typically the fastest adopters. Technologies that clearly improve margins, reduce labor requirements, or simplify operational management are seeing the strongest uptake. These include farm management platforms, variable-rate input systems, and compliance and planning software. Solutions without clear payback remain slower to scale.

Artificial intelligence has been used in agriculture for years, mainly in the background for forecasting and modelling. Today, newer systems are making outputs easier to interpret and act on. Instead of raw data, users receive clear recommendations tied to specific fields, crops, or tasks.

Rather than replacing operator judgement, these tools support day-to-day decision-making. They help prioritize field work, optimize input timing, manage seasonal complexity, and support compliance reporting.

Equipment and Machinery

Agri-equipment is one of the clearest areas of near-term opportunity. Manufacturers are embedding sensors, GPS, telematics, and assisted automation into standard equipment rather than selling technology as an add-on. The addition creates recurring revenue streams through software subscriptions, connected services, and data platforms layered on top of equipment sales.

Precision Agriculture Platforms

Tools that combine satellite imagery, sensors, and analytics are being used to support day-to-day decisions. These systems help optimize input use and timing rather than chasing maximum yields. Adoption is growing as integration with machinery improves and users see consistent cost savings.

Automation and Input Management

Labor availability is a persistent challenge in agriculture. As a result, demand is rising for assisted machinery, robotic systems, and AI-supported irrigation and nutrient management. These tools reduce labor requirements and improve consistency, particularly in higher-value and labor-intensive crops.

Investment in AgTech slowed during 2025 as capital markets became more selective. However, the market has begun to stabilize around more mature businesses with proven customer adoption and clear operational value, establishing a stronger quality floor for the sector.

Investor preference has focused on solutions that delivery measurable productivity gains, cost savings, and labor efficiency. Said a different way, precision ag and automation have attracted materially more capital than biological inputs.

Strategic buyers have remained active, particularly among OEMs. John Deere has completed several targeted acquisitions in precision agriculture, including autonomous spraying and aerial scouting capabilities, while other OEMs such as Kubota have favoured partnerships to access innovation and accelerate time to market.

While large-scale exits have been relatively limited, transaction activity continues at the platform and tuck-in level, particularly among technology-enabled operators. As adoption continues to deepen and revenue models mature, this environment is expected to support more consistent M&A activity and improved exit opportunities over the medium term.

Deal Date: January 2025

Deal Size: Confidential

Segment: Equipment

Private equity firm Granite Creek’s acquisition of Ritchie Industries, a U.S. maker of automated livestock watering systems, adds to its growing agribusiness portfolio. As a leading player in ruminants, the investment will support Ritchie as it plans to expand in beef and dairy, further penetrate the equine market, and introduce product enhancements and new products through accretive acquisitions. The company is targeting acquisitions in the hydration space and up to $100m in enterprise value. Targets could serve a range of animal categories (from ruminants to zoo animals) or be manufacturers of other rotationally molded products for farms.

AgTech is no longer about experimentation or disruption. More and more, it’s about steady improvements to productivity, cost control, and operational reliability. Technologies that fit into existing workflows and deliver clear economic benefits are gaining traction.

For acquirers, this creates an opportunity to invest in businesses that support predictable growth, recurring revenue, and operational resilience. As dealmaking takes shape across agribusiness, technology-enabled platforms are becoming a practical and defensible part of the M&A landscape.