Precision Farming Software Market

Industry Overview

The Global Precision Farming Software Market is projected to grow from USD 1.5 billion in 2023 to USD 3.6 billion in 2030 at a CAGR of 12.2% during the forecast period from 2025 to 2030.

Precision farming is a farm management concept based on observing, measuring and responding to variability in crops and soil with the goal of maximizing the return on inputs while preserving resources. Combine technologies like soil mapping, remote sensing, UAVs and GPS integrations to forge a dialogue between them, a conversation we can tap. To get the clear picture of their land, many growers have already begun instrumenting precision techniques to obtain the qualitative and quantitative data they need to increase their yield. The idea is to forge a holistic picture of the land and the conditions influencing its composition that pivots in real-time using remote sensing technology. The sensors collect granular measurements related to salinity, moisture, fertilizer potency, weather, growth rate, and any other environmental variable impacting the lifecycle.

The market is segregated by offering such as hardware, software and services, where software services dominates the market and by technology like guidance technology, remote sensing and variable rate, among which remote sensing technology shall grow due to its ability to provide farmers with a heightened sense of data protection and control. It is also divided on the delivery model into on-premises and cloud-based and by applications into yield monitoring, weather tracking and forecasting, field mapping and others.

Market Segmentation

Insight by Offering

Based on offering, the Precision Farming Software Market is segregated into hardware, software and services. Software segment is projected to dominate the market share with the highest CAGR during the forecast period due to its benefits like enhanced performance, data sharing and ability to access the system on different devices from any location.

Insight by Technology

The Precision Farming Software Market is segmented by technology as guidance technology, remote sensing and variable rate. The remote sensing segment shall dominate the market as these systems can help in prediction of proper amount of irrigation water.

Insight by Delivery Model

By delivery model, the Precision Farming Software Market is segregated into On-Premises and Cloud-Based. On-Premises delivery model accounts for the largest share in the market due to its ability to provide farmers with a heightened sense of data protection and control.

Insight by Application

On the basis of application, the Precision Farming Software Market is segregated into yield monitoring, weather tracking and forecasting, field mapping and others. Among these, yield monitoring segment is anticipated to hold the precision farming software market as it assists the farmers to understand field variability to maximize the yield.

Precision Farming Software Market Report Coverage

Industry Dynamics

Growth Drivers

Growing adoption of advanced technologies in precision farming software and increased focus on enhancing food security and agricultural productivity, enhance data analysis and initiatives to manage greater amount of data are some of the major drivers of precision farming software market.

In order to cut costs and enhance productivity, there is a need for digitization in all sectors. To help farmers remain protected from the impact of adverse price fluctuations of their produce, many agritech companies are coming up with innovative technologies and models for easing farming practices by focusing more on wireless platforms with respect to yield monitoring, field mapping, irrigation scheduling, crop health monitoring, harvesting management, etc. With the growing food demand, due to the ever-increasing population, adopting precision agriculture tools is inevitable for farmers. The major factors driving the precision farming software market are the advancements and innovations in technology to help farmers maximize their yield and minimize losses with efficient use of resources. The integration of smartphones with agriculture hardware and software applications, as well as high-speed internet connectivity, will provide growth prospects in the precision farming software industry.

Restraints and Opportunities

Crop production is being hindered by various issues such as the loss of natural resources as well as the degradation of the environment. As environmental concerns grow, farmers are shifting their preference to sustainable agriculture practices like natural resource preservation which increases the demand for improved crop nutrition as well as protection, which ultimately has increased the precision farming business. The high initial costs too restricts the market’s expansion to some extent. However, many potential opportunities are opened due to smart designs to increase harvests as well as prevent waste. Furthermore, rising investments in technology such as guidance systems, GPS sensing systems and driverless tractors shall aid the precision farming software market development.

Geographic Overview

• North America
• Europe
• Asia Pacific (APAC)
• Rest of the World

Geographically, the Global Precision Farming Software Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America accounted for the largest revenue share as the farmers in the region are well-educated using innovative agricultural systems, mobile apps, cloud services, farm management software, imagery services and data analytics services. Asia-Pacific will be the fastest-growing regional market with the increasing population and larger area under agricultural cultivation.

Competitive Insights

AGCO Corporation is an American agricultural machinery manufacturer which designs, produces and sells tractors, forages, hay tools, combines, self propelled sprayers, smart farming technologies and seeding equipment.

John Deere is the industry leader in providing farmers the precision ag tools they need to monitor, manage, and maximize their farm operations from machine performance to field management and data analysis. With these services input costs are reduced through better machine management and application accuracy. Yields are increased by improving every aspect of your production process.

Key Players Covered in the Report

Some of the major players of precision farming software are AGCO, AG Leader Technology, Cropmetrics, Agjunction , Deere & Company, SST Development Group, Teejet Technologies, Dickey-john Corporation, Topcon Positioning Systems, Trimble.

Recent Development by Key Players

AGCO acquired digital assets from FarmFacts GmbH. FarmFacts specializes in software for farmers and service providers to generate field action plans from prescription maps to guidance line creation. The acquisition increases AGCO’s FMIS offering and software development capabilities to serve farmers’ data management needs.

John Deere, Kinze Manufacturing, and Ag Leader Technology today collaborated to make it easier for farmers to integrate each company’s equipment and technology solutions into their farming operation. The collaboration enables farmers to combine the quality equipment and digital solutions offered by John Deere, Kinze and Ag Leader.

The global Precision Farming Software Market report offers a comprehensive market segmentation analysis along with estimation for the forecast period 2025–2030.

Segments Covered in the Report

• By Offering
  • Hardware
  • Software
  • Services
• By Technology
  • Guidance Technology
  • Remote Sensing
  • Variable Rate
• By Delivery Model
  • On-Premises
  • Cloud-Based
• By Application
  • Yield Monitoring
  • Weather Tracking and Forecasting
  • Field Mapping
  • Others

Region Covered in the Report

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia-Pacific (APAC)
  • China
  • Japan
  • India
• Rest of the World
  • Brazil
  • Saudi Arabia
  • South Africa
  • U.A.E
  • Other Countries

1.    Research Overview

        1.1.    The Report Offers
        1.2.    Market Coverage
                1.2.1.    By Offering  
                1.2.2.    By Technology   
                1.2.3.      By Delivery Model 
                1.2.4.      By Application  
                1.2.6.    By Region
        1.3.    Research Phases
        1.4.    Limitations
        1.5.    Market Methodology
                1.5.1.  Data Sources
                        1.5.1.1. Primary Research
                        1.5.1.2. Secondary Research
                1.5.2.  Methodology
                        1.5.2.1. Data Exploration
                        1.5.2.2. Forecast Parameters
                        1.5.2.3. Data Validation
                        1.5.2.4. Assumptions
                1.5.3.    Study Period & Data Reporting Unit

2.    Executive Summary

3.    End-user Type Overview

        3.1.    End-user Type Dynamics
                3.1.1.    Market Growth Drivers
                3.1.2.    Market Restraints
                3.1.3.    Key Market Trends
                3.1.4.    Major Opportunities
        3.2.    End-user Type Ecosystem
                3.2.1.    Porter’s Five Forces Analysis
                3.2.2.    Recent Development Analysis
                3.2.3.    Value Chain Analysis
        3.3.    Competitive Insight
                3.3.1.    Competitive Position of End-user Type Players
                3.3.2.    Market Attractive Analysis
                3.3.3.    Market Share Analysis

4.    Global Market Estimate and Forecast

        4.1.    Global Market Overview
        4.2.    Global Market Estimate and Forecast to 2030

5.    Market Segmentation Estimate and Forecast

        5.1.    By Offering  
                5.1.1.  Hardware
                        5.1.1.1. Market Definition
                        5.1.1.2. Market Estimation and Forecast to 2030
        5.1.2    Software 
                    5.1.2.1. Market Definition
                        5.1.2.2. Market Estimation and Forecast to 2030
        5.1.3.    Services
            5.1.3.1. Market Definition
                        5.1.3.2. Market Estimation and Forecast to 2030
        
        5.2.    By Technology   
                5.2.1.  Guidance
                        5.2.1.1. Market Definition
                        5.2.1.2. Market Estimation and Forecast to 2030
                5.2.2.    Remote Sensing and Variable Rate 
                        5.2.2.1. Market Definition
                        5.2.2.2. Market Estimation and Forecast to 2030
        5.3    By Delivery Model 
                5.3.1.  On-Premises
                        5.3.1.1. Market Definition
                        5.3.1.2. Market Estimation and Forecast to 2030
                5.3.2.  Cloud-Based
                        5.3.2.1. Market Definition
                        5.3.2.2. Market Estimation and Forecast to 2030
    5.4.    By  Application 
                5.4.1.    Yield Monitoring
                        5.4.1.1. Market Definition
                        5.4.1.2. Market Estimation and Forecast to 2030
                5.4.2.  Weather Tracking and Forecasting
                        5.4.2.1. Market Definition
                        5.4.2.2. Market Estimation and Forecast to 2030
                5.4.3.    Field Mapping
                        5.4.3.1. Market Definition
                        5.4.3.2. Market Estimation and Forecast to 2030
        
6.    North America Market Estimate and Forecast

    6.1.    By Offering  
    6.2.    By Technology   
    6.3.    By Delivery Model  
    6.4.    By Application 
    6.5.    By Country – China, Japan, India, South Korea, and Rest of Asia-Pacific
                6.5.1.    U.S. Market Estimate and Forecast
                6.5.2.    Canada Market Estimate and Forecast
                6.5.3.    Mexico Market Estimate and Forecast

7.    Europe Market Estimate and Forecast

    7.1.    By Offering  
    7.2.    By Technology   
    7.3.    By Delivery Model  
    7.4.    By Application 
    7.5.    By Country – China, Japan, India, South Korea, and Rest of Asia-Pacific
                7.5.1.    Germany Market Estimate and Forecast
                7.5.2.    France Market Estimate and Forecast
                7.5.3.    U.K. Market Estimate and Forecast
                7.5.4.    Italy Market Estimate and Forecast
                7.5.5.    Spain Market Estimate and Forecast
                7.5.6.    Rest of Europe Market Estimate and Forecast

8.    Asia-Pacific Market Estimate and Forecast

    8.1.    By Offering  
    8.2.    By Technology   
    8.3.    By Delivery Model  
    8.4.    By Application 
    8.5.    By Country – China, Japan, India, South Korea, and Rest of Asia-Pacific
                8.5.1.    China Market Estimate and Forecast
                8.5.2.    Japan Market Estimate and Forecast
                8.5.3.    India Market Estimate and Forecast
                8.5.4.    South Korea Market Estimate and Forecast
                8.5.5.    Singapore Market Estimate and Forecast
                8.5.6.    Rest of Asia-Pacific Market Estimate and Forecast

9.    Rest of the World (RoW) Market Estimate and Forecast

    9.1.    By Offering  
    9.2.    By Technology   
    9.3.    By Delivery Model  
    9.4.    By Application 
    9.5.    By Country – Brazil, Saudi Arabia, South Africa, U.A.E., and Other Countries
                9.5.1.    Brazil Market Estimate and Forecast
                9.5.2.    Saudi Arabia Market Estimate and Forecast
                9.5.3.    South Africa Market Estimate and Forecast
                9.5.4.    Other Countries Market Estimate and Forecast

10.    Company Profiles

        10.1.  AGCO
                10.1.1.    Snapshot
                10.1.2.    Overview
                10.1.3.    Offerings
                10.1.4.    Financial Insight
                10.1.5.    Recent Developments
        10.2.   AG Leader Technology
                10.2.1.    Snapshot
                10.2.2.    Overview
                10.2.3.    Offerings
                10.2.4.    Financial Insight
                10.2.5.    Recent Developments
        10.3.   Cropmetrics
                10.3.1.    Snapshot
                10.3.2.    Overview
                10.3.3.    Offerings
                10.3.4.    Financial Insight
                10.3.5.    Recent Developments
        10.4.   Agjunction
                10.4.1.    Snapshot
                10.4.2.    Overview
                10.4.3.    Offerings
                10.4.4.    Financial Insight
                10.4.5.    Recent Developments
        10.5.   Deere & Company
                10.5.1.    Snapshot
                10.5.2.    Overview
                10.5.3.    Offerings
                10.5.4.    Financial Insight
                10.5.5.    Recent Developments
        10.6.   SST Development Group
                10.6.1.    Snapshot
                10.6.2.    Overview
                10.6.3.    Offerings
                10.6.4.    Financial Insight
                10.6.5.    Recent Developments
        10.7.   Teejet Technologies
                10.7.1.    Snapshot
                10.7.2.    Overview
                10.7.3.    Offerings
                10.7.4.    Financial Insight
                10.7.5.    Recent Developments
        10.8.   Dickey-john Corporation
                10.8.1.    Snapshot
                10.8.2.    Overview
                10.8.3.    Offerings
                10.8.4.    Financial Insight
                10.8.5.    Recent Developments
        10.9.   Topcon Positioning Systems
                10.9.1.    Snapshot
                10.9.2.    Overview
                10.9.3.    Offerings
                10.9.4.    Financial Insight
                10.9.5.    Recent Developments
    10.10.    Trimble
        10.10.1.    Snapshot
                10.10.2.    Overview
                10.10.3.    Offerings
                10.10.4.    Financial Insight
                10.10.5.    Recent Developments
        
11.    Appendix

        11.1.    Exchange Rates
        11.2.    Abbreviations

Note: Financial insight and recent developments of different companies are subject to the availability of information in the secondary domain.