Global Farm ERP Market Size is valued at US$ 1.2 Bn in 2024 and is predicted to reach US$ 3.4 Bn by the year 2034 at an 11.2% CAGR during the forecast period for 2025-2034.
Farm ERP (Enterprise Resource Planning) is a centralised software solution designed to manage and streamline various farming and agribusiness processes. By combining modules for crop planning, procurement, finance, supply chain management, inventory management, and sales, it enables farmers, agribusinesses, and food firms to plan, monitor, and manage their operations more effectively.
Farm ERP enhances productivity, reduces operating costs, and facilitates informed decision-making through real-time data tracking and analytics. Numerous important factors are driving the growth of the farm EPR market. Advanced software solutions for data administration and analysis are required due to the growing adoption of precision agriculture techniques.
Additionally, the need for robust ERP systems that can track items from farm to table is being driven by the growing demand for supply chain transparency and food security. In addition, cloud-based ERP solutions are gaining popularity due to their affordability, scalability, and accessibility, which surpass those of on-premise systems. The government's increasing efforts to support the development of agricultural technology are also contributing to the expansion of the farm ERP market.
Moreover, ERP solutions that integrate social and environmental considerations into decision-making are being developed in response to the growing demand for sustainable agricultural methods. Farmers can evaluate their environmental impact, maximise resource utilisation, and enhance sustainability with these solutions. The increasing use of AI and machine learning in agriculture is also advancing the development of increasingly sophisticated and intelligent ERP systems, which can offer predictive insights and enhance decision-making across the board. Thus, the farm ERP market is expected to grow due to these factors during the projected period.
Some of the Key Players in Farm ERP Market:
· SAP SE
· Oracle Corporation (Oracle NetSuite)
· Shivrai Technologies Pvt. Ltd.
· Cropin Technology Solutions Pvt. Ltd
· AGRIVI d.o.o.
· Folio3 Software Inc.
· Velosio, LLC.
· Sage Group plc
· Acumatica, Inc.
· SourceEdge Software Technologies Pvt Ltd
· Khetibuddy Agritech Pvt Ltd
· Lighthouse Info Systems Pvt. Ltd.
· Mprise B.V.
· Priority Software
· Siagri (part of Aliare)
The Farm ERP market is segmented by module offering, business model, and end-use application. By module offering, the market is segmented into inventory and input management module, financial management module, production and crop monitoring module, others (field mapping and GIS module, mobile and multilingual access module, weather and advisory integration module, labor and workforce management module, iot and sensor integration module). By business model, the market is segmented into subscription (SaaS) and one-time license. By end-use application, the market is segmented into row crop farm (cereal grains, pulses, oilseeds (e.g., wheat, corn, soybean)), livestock and dairy farm, protected and controlled environment farm, horticulture and plantation farm (fruits, vegetables, nuts, vineyards, tea, coffee plantations), and others (includes mixed farming enterprises (crop + livestock silviculture, aquaponics, floriculture, government/institutional farms).
The growing requirement for data-driven decision-making in agriculture is driving significant growth in the farm ERP market's Production and Crop Monitoring module category. Farmers and agribusinesses are increasingly using digital tools to manage pest control in real-time, optimise irrigation, assess crop health, and monitor soil conditions. This module reduces agricultural losses and enables prompt interventions by combining weather forecasts, satellite imaging, IoT-based sensors, and predictive analytics. Further driving demand for these solutions is the increased emphasis on sustainability, resource optimization, and precision farming. Digital farming efforts are being promoted by governments and agri-tech firms, which is further increasing adoption.
The demand for integrated operations and data-centric management is making the livestock and dairy farm segment the market leader for farm ERP. These markets face complex challenges related to feed inventories, breeding schedules, animal health, and regulatory compliance. Through the seamless integration of all these tasks, ERP solutions enable farmers to optimise their resources and ensure supply chain traceability.
Farm ERP raises quality standards, promotes sustainable practices, and increases operational efficiency by automating critical processes. Real-time visibility and greater transparency enable farm managers to respond quickly to problems and sustain high productivity. In a dynamic agricultural context, the adoption of ERP systems in livestock and dairy farms ultimately promotes improved product quality, consumer trust, and long-term business viability.
North America's improved farming methods and increased use of technology have given it the largest market share globally. The US and Canada are at the forefront of adopting and utilising new technologies, including agricultural automation, precision farming, and the Internet of Things. Sustainable farming is being promoted by numerous government initiatives that provide financial incentives for the use of digital tools. North America's farm ERP market dominance is further solidified by the need for resource efficiency and the growing awareness of the food security issue, which motivates farmers to adopt better software.
Furthermore, growing expectations for farm productivity, government support for digital agriculture programs, and higher technical investments are all contributing to the Asia Pacific region's faster growth. In countries with high levels of agricultural production, this expansion is particularly apparent. Moreover, businesses seeking to leverage technology to automate processes, enhance resource management, and ensure food security have a significant opportunity to adopt farm ERP in countries like China and India, given their extensive agricultural holdings. Mobile-accessible cloud-based ERP systems are very popular in this field.
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Farm ERP Market Snapshot
Chapter 4. Global Farm ERP Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on Farm ERP Market Industry Trends
4.10. Global Farm ERP Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. Farm ERP Market Segmentation 1: By End-Use Application, Estimates & Trend Analysis
5.1. Market Share by End-Use Application, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-Use Application:
5.2.1. Row Crop Farm
5.2.2. Horticulture and Plantation Farm
5.2.3. Protected and Controlled Environment Farm
5.2.4. Livestock and Dairy Farm
5.2.5. Others
Chapter 6. Farm ERP Market Segmentation 2: By Business Model, Estimates & Trend Analysis
6.1. Market Share by Business Model, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Business Model:
6.2.1. Subscription (SaaS)
6.2.2. One-Time License
Chapter 7. Farm ERP Market Segmentation 3: By Module Offering, Estimates & Trend Analysis
7.1. Market Share by Module Offering, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Module Offering:
7.2.1. Inventory and Input Management Module
7.2.2. Production and Crop Monitoring Module
7.2.3. Financial Management Module
7.2.4. Others
Chapter 8. Farm ERP Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. Global Farm ERP Market, Regional Snapshot 2024 & 2034
8.2. North America
8.2.1. North America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.2.1.1. US
8.2.1.2. Canada
8.2.2. North America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by End-Use Application, 2021-2034
8.2.3. North America High-Altitude Oxygen Simulation Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2021-2034
8.2.4. North America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Module Offering, 2021-2034
8.3. Europe
8.3.1. Europe Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.3.1.1. Germany
8.3.1.2. U.K.
8.3.1.3. France
8.3.1.4. Italy
8.3.1.5. Spain
8.3.1.6. Rest of Europe
8.3.2. Europe Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by End-Use Application, 2021-2034
8.3.3. Europe Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2021-2034
8.3.4. Europe Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Module Offering, 2021-2034
8.4. Asia Pacific
8.4.1. Asia Pacific Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.4.1.1. India
8.4.1.2. China
8.4.1.3. Japan
8.4.1.4. Australia
8.4.1.5. South Korea
8.4.1.6. Hong Kong
8.4.1.7. Southeast Asia
8.4.1.8. Rest of Asia Pacific
8.4.2. Asia Pacific Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by End-Use Application, 2021-2034
8.4.3. Asia Pacific Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2021-2034
8.4.4. Asia Pacific Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Module Offering, 2021-2034
8.5. Latin America
8.5.1. Latin America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.5.1.1. Brazil
8.5.1.2. Mexico
8.5.1.3. Rest of Latin America
8.5.2. Latin America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by End-Use Application, 2021-2034
8.5.3. Latin America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2021-2034
8.5.4. Latin America Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Module Offering, 2021-2034
8.6. Middle East & Africa
8.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.6.1.1. GCC Countries
8.6.1.2. Israel
8.6.1.3. South Africa
8.6.1.4. Rest of Middle East and Africa
8.6.2. Middle East & Africa Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by End-Use Application, 2021-2034
8.6.3. Middle East & Africa Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Business Model, 2021-2034
8.6.4. Middle East & Africa Farm ERP Market Revenue (US$ Million) Estimates and Forecasts by Module Offering, 2021-2034
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. SAP SE
9.2.1.1. Business Overview
9.2.1.2. Key Product /Service Overview
9.2.1.3. Financial Performance
9.2.1.4. Geographical Presence
9.2.1.5. Recent Developments with Business Strategy
9.2.2. Oracle Corporation (Oracle NetSuite)
9.2.3. Shivrai Technologies Pvt. Ltd.
9.2.4. Cropin Technology Solutions Pvt. Ltd
9.2.5. AGRIVI d.o.o.
9.2.6. Acumatica, Inc.
Farm ERP Market by Module Offering-
· Inventory and Input Management Module
· Financial Management Module
· Production and Crop Monitoring Module
· Others
o Field Mapping and GIS Module
o Mobile and Multilingual Access Module
o Weather and Advisory Integration Module
o Labor and Workforce Management Module
o IoT and Sensor Integration Module
Farm ERP Market by Business Model -
· Subscription (SaaS)
· One-Time License
Farm ERP Market by End-Use Application-
· Row Crop Farm
o Cereal Grains
o Pulses
o Oilseeds (e.g., Wheat, Corn, Soybean)
· Livestock and Dairy Farm
· Protected and Controlled Environment Farm
· Horticulture and Plantation Farm
o Fruits
o Vegetables
o Nuts
o Vineyards
o Tea
o Coffee Plantations
· Others
Farm ERP Market by Region-
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
