Agriculture Supply Chain Management Market by Component Type (Software, Hardware, Services), By Application (Farm Management, Food Production, Logistics & Distribution, Inventory Management, Procurement & Sourcing, Others), By Technology (Internet of Things (IoT), Artificial Intelligence (AI) & Machine Learning (ML), Blockchain, Big Data & Analytics, Robotics & Automation, Cloud Computing, Drones & Aerial Imaging), By End-User (Farmers, Food Processors, Distributors & Suppliers, Retailers, Logistics Providers, Government & Regulatory Bodies), Global Market Size, Segmental analysis, Regional Overview, Company share analysis, Leading Company Profiles And Market Forecast, 2025 – 2035

Industry Outlook

The Agriculture Supply Chain Management Market accounted for USD 20.5 Billion in 2024 and is expected to reach USD 76.0 Billion by 2035, growing at a CAGR of around 12.65% between 2025 and 2035. The Agriculture Supply Chain Management Market deals with the flow of goods, information, and financial resources involved in the agricultural supply chain from the producers’ site to the client’s point. They include procurement of raw materials, transportation, processing and packaging, distribution, and retailing. SCM in agriculture means less waste, timely delivery, proper stock management, and thus better quality of the product in question. Technologies such as IoT, analytics, and AI are deployed to increase the supply chain's visibility, audibility, and effectiveness. On the same note, it helps to cut down on expenses, be environmentally friendly, and boost returns on investment for any or all the parties involved.

Report Scope:

Market Dynamics

AI, IoT, and blockchain are adopted to enhance visibility, traceability, and efficiency.

AI, IoT, and blockchain are driving the growth of the Agriculture Supply Chain Management Market by significantly enhancing visibility, traceability, and operational efficiency. Through an analysis of a large number of parameters, AI systems can predict demand, operating expenses, and strategic decision-making. IoT devices are especially helpful for SCOP management as they allow for efficient supply chain management by recording real-time data on transportation, livestock, and crops.

Because of the record-keeping ability of the blockchain system, it is easy to trace an agricultural product from farm to table, thus allaying the fraud issues. In addition, these technologies give solutions to supply chain disruptions because they improve forecasting that helps prevent waste, enabling faster supply chain service. According to the US Department of Agriculture, in ten years, agricultural technologies, such as AI and IoT, are going to increase farm productivity by 25%, hence making it very significant to develop an agricultural supply chain.

Need for improving operational efficiency and reducing wastage in the supply chain.

The major driver for this Agriculture Supply Chain Management Market is the improvement of operational efficiency and reducing waste. Global food demand growth results in an unstructured supply chain with all of its components, including excessive spoiling, improper storage, and delayed shipping, which causes enormous losses. The improvement of procedures, optimized routes, and better inventory management reduce wastage, hence saving costs in the agricultural supply chain.

This is also supported by smart technologies like artificial intelligence (AI) and the Internet of Things (IoT), which can provide real-time information regarding the most effective, efficient tracking and management of objects. Nearly 1.3 billion tons are lost annually worldwide, according to FAO estimates, which emphasizes the need to improve supply networks' efficiency in the fight against food loss and sustainability issues.

Expensive technology integration and infrastructure development are needed for advanced supply chain solutions.

Expensive technology integration and infrastructure development pose significant restraints for the Agriculture Supply Chain Management Market. Advanced technologies such as blockchain, artificial intelligence, and the Internet of Things require huge hardware, software, and skilled labor investments, which hinders small and medium-sized businesses as well as farmers in developing countries.

Furthermore, the accompanying infrastructure, such as cold chains, cutting-edge storage facilities, and transportation networks, requires a significant amount of capital investment. The implementation of high-tech solutions may take longer than expected due to all of these expenses, which reduces the supply chain's related value-adding benefits.

Robotics and automation in warehousing, sorting, and packaging to reduce labor costs and improve accuracy.

Robotics and automation in warehousing, sorting, and packaging present significant opportunities for the Agriculture Supply Chain Management Market. Such technology can help substantially cut down on manpower and, more importantly, speed up and sharpen the precision of carrying activities that will involve lots of agricultural products. For instance, in an automated system, processes involving the sorting of crops by their size and quality, packaging the crops, and even storing them will run with little or no involvement of people, thereby reducing the amount of time taken to handle goods.

These systems also support uninterrupted operation, along with an increase in production capacity and a much faster response to the demand in the markets. Robotics and automation mechanisms in Agrarian industries can eventually solve the problem of food shortages that arise due to increased quality and timely delivery services required by customers in the agriculture sector. This increases the overall effectiveness of the supply chain and ensures lower unit costs with higher profitability. The existing forces in the industry, which are motivated by operational efficiency and cost containment, align with this opportunity, offering a chance for a strategic stance.

Blockchain can offer traceability of agricultural products, improving trust and food safety.

Blockchain technology gives the Agriculture Supply Chain Management Market a huge opportunity in terms of traceability, which adds up to increased trust and safety in food. This is because blockchain-based transactions, first of all, always keep a clear and permanent record of all transactions that are involved in the supply chain. Therefore, this allows tracing agricultural products from farm to consumer easily. The chain of custody concept ensures that every step in cultivation, processing, and delivery can be checked, which therefore reduces risks of fraud, contamination, or even unethical practices.

It is a way for consumers to be instilled with trust because they can access dependable information about food origin and handling. Furthermore, blockchain significantly accelerates the timely identification and segregation of tainted products that are recalled, thus preventing several rampant health risks. With a wide-ranging impact, this technology addresses not only standards of food safety but also allows businesses to differentiate in services and ensures integrity in the supply chains, which has a multiplier effect on efficiency and consumer confidence.

Industry Experts Opinion

"Blockchain technology is enhancing transparency and traceability in agriculture supply chains. Consumers are increasingly demanding to know the origin of their food, and blockchain provides an immutable ledger that ensures authenticity and builds trust."

• Anita Desai, CEO of AgriTech Solutions:

Segment Analysis

Based on the product type, the Agriculture Supply Chain Management Market has been classified into Software, Hardware, and Services. The software segment is dominant in the Agriculture Supply Chain Management Market. This is mostly because the agriculture industry requires cutting-edge software solutions that enhance farm operations, inventory management, traceability, and logistics.

Integrating mobile, cloud, and cutting-edge technological solutions like blockchain, artificial intelligence, and the Internet of Things may be essential to ensuring the effectiveness of operations in real-time data utilization to boost performance and improve clarity. This is because these equation systems are extremely helpful to all parties involved in the intricate web of contemporary agricultural supply chain management, from farmers to distributors, in addressing the ever-increasing concerns of food safety and sustainability.

Based on the Applications, the Agriculture Supply Chain Management Market has been classified into Farm Management, Food Production, Logistics & Distribution, Inventory Management, Procurement & Sourcing, and Others. The most dominant application in the Agriculture Supply Chain Management Market is Farm Management. Increasing demand for efficient crop planning, resource optimization, and productivity gains on farms explains why this application is on top of the line.

The options provided by solutions related to farm management implement applications such as IoT, AI, and data analytics toward monitoring soil health, irrigation management, and tracking crop progress through which farmers can make decisions based on data obtained. These tools help decrease the cost of operation, increase yield, and maintain sustainable agriculture in farming, which makes farm management an essential application in modern agricultural supply chains.

Regional Analysis

The North American Agriculture Supply Chain Management Market includes two major regions, the United States and Canada, due to their technological advancement and a higher percentage of acceptance towards automation, data analytics, and IoT in the agriculture field. The leading companies in this area, including IBM, Oracle, and SAP, have worked hard to provide the best supply chain solutions for the agriculture industry.

The U.S. agricultural industry has a politically supported push toward digital agriculture and sustainability. As the customer demand for transparency and minimization of food waste and supply chain costs rises, companies in North America are exploring the use of blockchain and artificial intelligence in their supply chains. The North American Agriculture Supply Chain Management Market is further driven by increased investment in logistics and smart farming technology. Another major driver is Canada's investment in precision agriculture.

The United States Agriculture Supply Chain Management Market is likely to feature highly sophisticated agricultural methods and a huge need for the most modern technological solutions. Focusing efforts on the integration of AI and IoT technologies with industry leaders like IBM, Oracle, and John Deere, this US market attempts to increase the efficiency of the supply chain along with tracing.

The U.S. government also backs this industry with subsidies and grants for the promotion of new technology and conservative farming practices. Strong demand for food safety, traceability, and waste reduction will continue spurring investments in data analytics and automation. Even though a very competitive market exists in the United States, it is quite probable that the underpinnings of further technological advancement and an intense emphasis on sustainability will keep this market alive.

The European Agriculture Supply Chain Management Market is heavily inclined towards promoting sustainable practices and efficiency, as well as embracing advancements in digitization. New technologies, including artificial intelligence and blockchain, are being applied more vigorously in Germany, France, the UK, etc. to improve the productivity of agricultural activities. Implementation of more stringent regulations regarding food safety, traceability, and sustainability in Europe has made it possible for the digitization of almost every activity along the supply chain.

Besides, the region enjoys a rise in precision agriculture approaches as well as smart logistics investments from the public and private sectors. European farming groups are increasingly using data analytics to boost output and reduce waste. Due to the collaboration of technology firms with agribusinesses, there is a highly competitive environment in Europe.

Germany's Agriculture Supply Chain Management Market can be considered highly sophisticated. The country has been the first to embrace precision farming systems and use data for labor, crop production, logistics, and distribution, as well as Internet of Things activities. By supporting initiatives like the Digital Agenda and offering subsidies to owners of smart agricultural technologies, the German government also contributes significantly to the advancement of sustainability in farming practices.

German companies such as BASF and Bayer are leaders in the implementation of advanced SCM systems aiming for sustainability. The benefits provided by a well-functioning transportation and logistics network that is appropriate for this task are crucial for streamlining the agricultural supply chain. The benefits provided by a well-functioning transportation and logistics network that is appropriate for this task are crucial for streamlining the agricultural supply chain operations. In response to the growing consumer demand for traceability and food safety, German firms are applying composite technologies such as blockchain combined with AI to enhance transparency and eliminate waste.

Competitive Landscape

Supply chain management solutions are offered by several technology businesses in the Agriculture Supply Chain Management Market. The major players in the market are IBM, SAP, and Oracle, which offer software platforms that improve business decision-making and performance through sensing and processing systems, data analytics, IoT, and AI capabilities.

Newcomers such as FarmLogix provide their solutions to the agricultural industry's sector-specific needs.  Appointments and collaborations between the primary players of the digital industries and agricultural firms are gaining strength with the progress of automation, transparency, and sustainable systems.

Agriculture Supply Chain Management Market, Company Shares Analysis, 2024

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Recent Developments:

• In June 2023, John Deere launched a new set of digital tools aimed at improving supply chain visibility and traceability. These tools offer real-time insights into equipment usage, maintenance schedules, and inventory levels, helping farmers streamline their operations and minimize downtime.
• In September 2023, SAP expanded its Agriculture Supply Chain Management solutions with the introduction of SAP Agriculture Cloud. This new platform incorporates advanced features such as predictive analytics, IoT integration, and blockchain technology to enhance transparency and traceability in the agricultural supply chain.

Report Coverage:

By Component Type

• Software
• Hardware
• Services

By Application

• Farm Management
• Food Production
• Logistics & Distribution
• Inventory Management
• Procurement & Sourcing
• Others

By Technology

• Internet of Things (IoT)
• Artificial Intelligence (AI) & Machine Learning (ML)
• Blockchain
• Big Data & Analytics
• Robotics & Automation
• Cloud Computing
• Drones & Aerial Imaging

End-User

• Farmers
• Food Processors
• Distributors & Suppliers
• Retailers
• Logistics Providers
• Government & Regulatory Bodies

By Region

North America

• U.S.
• Canada

Europe

• U.K.
• France
• Germany
• Italy
• Spain
• Rest of Europe

Asia Pacific

• China
• Japan
• India
• Australia
• South Korea
• Singapore
• Rest of Asia Pacific

Latin America

• Brazil
• Argentina
• Mexico
• Rest of Latin America

Middle East & Africa

• GCC Countries
• South Africa
• Rest of Middle East & Africa

List of Companies:

• IBM Corporation
• SAP SE
• Oracle Corporation
• Microsoft Corporation
• John Deere
• Trimble Inc.
• AG Leader Technology
• Deere & Company
• Cargill Inc.
• Syngenta AG
• Corteva Agriscience
• BASF SE
• Archer Daniels Midland (ADM)
• Land O'Lakes, Inc.
• FarmLogix
• Growers Supply
• Digital Green

Frequently Asked Questions (FAQs)