Digital Agriculture Software Market Size, Share, Growth, Trends, and Global Industry Analysis: By Software Type (Farm Management Software, Precision Agriculture Software, Crop Monitoring & Advisory Software, Livestock Management Software, Weather & Climate Monitoring Software, Supply Chain & Market Size, Share, Growth, Trends, and Global Industry Analysis: Linkage Software, Others), By Application (Crop Farming, Horticulture, Livestock & Dairy Farming, Aquaculture, Forestry, Others), By End User (Smallholder Farmers, Large Commercial Farms, Agribusinesses & Cooperatives, Government & Research Institutions, Others) and Region 2020-2031

Digital Agriculture Software Market size was valued at US$ 7.20 billion in 2024 and is expected to reach US$ 16.72 billion by 2031, growing at a significant CAGR of 12.8% from 2025-2031. Moreover, the U.S. Digital Agriculture Software Market is projected to grow at 13.4%. The market encompasses a range of digital tools and platforms designed to enhance agricultural productivity, efficiency, and sustainability through data-driven insights. These software solutions integrate technologies such as cloud computing, artificial intelligence (AI), the Internet of Things (IoT), and data analytics to assist farmers and agribusinesses in monitoring crops, managing resources, predicting yields, and optimizing supply chains. Key components include farm management software, precision agriculture tools, weather forecasting systems, and data integration platforms.

The market is experiencing robust growth, driven by the global shift toward smart farming practices and the rising need for sustainable food production. Increasing adoption of IoT-enabled sensors, satellite imagery, and AI-driven analytics is transforming traditional farming into a more precise and data-centric operation. Governments and private sectors are investing heavily in digital transformation initiatives to improve agricultural resilience and efficiency. Moreover, the demand for real-time monitoring and predictive insights to combat challenges like climate change and resource scarcity further accelerates market expansion. As a result, the market is poised for continued innovation, with software providers focusing on integration, scalability, and user-friendly platforms tailored for diverse agricultural applications.

Key Developments:

• In June 2025, Andhra Pradesh (India) announced it will fully digitize its agricultural operations starting from Kharif 2025, using APAIMS 2.0. This platform will replace all offline services and provide features like AI/ML-based pest and disease alerts at plot level, personalized advisories, and real-time e-market integration
• In March 2025, CNH (Case IH and New Holland) under its Drops of the Future initiative partnered with xFarm to pilot precision agriculture technology in Uzbekistan. The project uses machine data and precision tools to help farmers improve productivity and conserve water amid water scarcity concerns.

Digital Agriculture Software Market Segmentation:

Based on the software type:

• Farm Management Software
• Precision Agriculture Software
• Crop Monitoring & Advisory Software
• Livestock Management Software
• Weather & Climate Monitoring Software
• Supply Chain & Market Linkage Software
• Others

Farm Management Software is anticipated to lead the market due to its comprehensive role in integrating and optimizing all aspects of farm operations. This software enables farmers to efficiently manage resources, monitor crop performance, track inventories, and analyze financial data through a unified digital platform. Its ability to provide real-time insights and automate critical processes enhances productivity and decision-making accuracy. The growing adoption of cloud-based and mobile-accessible systems has further accelerated its demand, especially among large-scale farms seeking data-driven efficiency. As agriculture becomes increasingly digitized, farm management software remains the central driver of market growth.

Based on the application:

• Crop Farming
• Horticulture
• Livestock & Dairy Farming
• Aquaculture
• Forestry
• Others

Crop farming is anticipated to be the leading application segment in the market, driven by the growing adoption of precision and data-driven farming techniques. Farmers are increasingly using digital tools to monitor soil health, weather conditions, irrigation, and pest control to maximize yields and minimize input costs. The integration of satellite imagery, IoT sensors, and AI-based analytics enables accurate decision-making and timely interventions across large agricultural areas. Rising global food demand and the need for sustainable cultivation practices further fuel the adoption of software solutions in crop farming, positioning it as the primary growth driver within the market.

Based on the end user:

• Smallholder Farmers
• Large Commercial Farms
• Agribusinesses & Cooperatives
• Government & Research Institutions
• Others

Large commercial farms are anticipated to dominate the market as the leading end-user segment. These farms are increasingly investing in advanced digital tools to streamline large-scale operations, improve efficiency, and enhance yield predictability. The ability to integrate technologies such as AI, IoT, and satellite imaging allows for precise monitoring of vast agricultural areas, optimizing resource allocation and reducing operational costs. Moreover, large farms often have better access to capital and skilled personnel, enabling faster adoption of innovative software solutions. Their focus on automation, productivity, and sustainability continues to drive significant growth within this segment.