Precision Farming Market (By Offering: Hardware, Sensing and Monitoring Devices, Software, Services; By Application: Yield Monitoring, Crop Scouting, Field Mapping, Variable Rate Application, Weather Tracking and Forecasting, Inventory Management, Farm Labor Management, Financial Management, Others; By Technology: Precision Farming Guidance System, Remote Sensing Precision Farming, Variable-Rate Technology Precision Farming) - Market Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

The global precision farming market size was exhibited at USD 9.35 billion in 2022 and is projected to hit around USD 35.12 billion by 2032, growing at a CAGR of 14.15% during the forecast period 2023 to 2032.

Key Pointers:

  • By offering, the North America precision farming market was valued at USD 4.4 billion in 2022 with a CAGR of 11.6% from 2023 to 2032.
  • Asia Pacific region is projected to grow at a CAGR of 15.6% from 2023 to 2032.
  • North America accounted market share of around 47% in 2022.
  • Europe region garnered revenue share of around 25% in 2022.
  • The weather tracking and forecasting application segment is growing at a CAGR of 17.8% over the forecast period.
  • By offerings, hardware segment accounted market share of around 70% in 2022 and the software segment is predicted to grow at a CAGR of 15.9%.
  • By application, the yield monitoring segment garnered market share of 46% in 2022
  • By technology, remote sensing and variable rate segment accounted 59% market share in 2022.

The most significant factors driving the growth of the precision farming market is the Rapid adoption of advanced technologies in precision farming to reduce labor cost, Increased adoption of Internet of Things (IoT) devices in agricultural fields, Substantial cost savings associated with precision farming, Climate change and need to meet rising demand for food and Increasing promotion of precision farming techniques by governments worldwide.

Precision Farming Market Report Scope

Report Coverage

Details

Market Size in 2023

USD 10.67 Billion

Market Size by 2032

USD 35.12 Billion

Growth Rate From 2023 to 2032

CAGR of 14.15%

Base Year

2022

Forecast Period

2023 to 2032

Segments Covered

Offering, Application, Technology,

Market Analysis (Terms Used)

Value (US$ Million/Billion) or (Volume/Units)

Regional Scope

North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa

Key Companies Profiled

AG DNA, AG Junction, AG Leader Technology, AGCO Corporation, Agribotix, Bayer CropScience AG, Case IH Agriculture, ClearAg Operations, Conservis Corporation, Deere & Company

 

COVID-19 Impact on the global precision farming market share

The precision farming market report includes key companies such as Deere & Company (John Deere) (US), Trimble (US), AGCO Corporation (US), AgJunction (US), Raven Industries (US), AG Leader Technology (US), Teejet Technologies (US), Topcon Positioning Systems (US), Taranis (Israel), AgEagle Aerial Systems (US), ec2ce (Spain), Descartes Labs (US), Granular (US), Autonomous Tractor Corporation (US), Hexagon Agriculture (Brazil), The Climate Corporation (US), and CropX Technologies (Israel). These companies have their manufacturing facilities and corporate offices spread across various countries across Asia Pacific, Europe, Americas, and RoW. The precision farming products manufactured by these companies are purchased by several stakeholders for various applications. COVID-19 not only impacted the operations of the various precision farming manufacturers companies, but also affected the businesses of their suppliers and distributors. The fall in export shipments and slow domestic demand for precision farming in comparison to pre COVID-19 levels is also expected to negatively impact and slightly stagnate the demand for precision farming in short term. The key companies operating in this market, have also witnessed the impact of the pandemic in their order intakes during the first half of 2020.

Precision Farming Market Dynamics

Driver: Rapid adoption of advanced technologies in precision farming to reduce labor cost

The agriculture industry was highly dependent on laborers for different activities; however, with technological advancements, automation is replacing the task of laborers and enabling the industry players to achieve high output in less time. The adoption of advanced technologies is helping farmers to cover a large area of their fields in less time and more efficiently. Precision farming is an advanced farming technique involving cutting-edge technologies that enable farmers to increase productivity and minimize labor costs. The major technologies used for precision farming are smart sensors, GPS, GNSS, auto-steering and guidance technology, and variable rate technology (VRT), among others. They not only help to reduce the labor cost but also utilize resources in the best possible way and minimize wastage, which is higher in the traditional farming techniques

Restraint: High cost of precision farming equipment

One of the major restraining factors for the market growth is the high costs associated with precision farming equipment. The technologies and equipment used in precision farming, including smart sensors, drones, VRT, GPS, GNSS, guidance tools, and receivers, are highly efficient but expensive. Besides, skilled personnel is required to set up and operate precision farming equipment. Hence, in developing countries such as India, China, and Brazil, with limited resources for agricultural practices, growers opt for traditional farming rather than new technology-based farming due to the requirement of high investments.

Opportunity: Rising use of AI- based solutions in precision farming

The use of AI-based applications and tools helps farmers in controlled and accurate farming by providing required information or guidance regarding the use of fertilizers, water management, crop rotation, pest control, type of crop to be grown as per soil, nutrition management, and optimum planting. AI-based tools are used to control pests in farms. They use satellite imagery and compare it with the historical data using AI algorithms to check whether any insect landed on the farm and the type of insect. AI is also used in weather forecasting to help farmers decide the type of crop to be grown and monitor the soil quality and nutrition level. AI-based precision farming techniques help farmers monitor crops’ health, resulting in a high-quality yield.

Challenge: Difficulty in collecting and analyzing multiple farm data

Precision farming generates a large volume of data from variable-rate seeding, yield monitoring, mapping, soil testing to historical crop rotation. This data is analyzed for decision-making, and the success of precision farming relies on it. Thus, it is needed to be stored and managed. The major challenge is to manage this large amount of data, which requires high expertise, and many users do not have the expertise to use this data for decision-making for their farms.

Some of the prominent players in the Precision Farming Market include:

  • AG DNA
  • AG Junction
  • AG Leader Technology
  • AGCO Corporation
  • Agribotix
  • Bayer CropScience AG
  • Case IH Agriculture
  • ClearAg Operations
  • Conservis Corporation
  • Deere & Company

Segments Covered in the Report

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Precision Farming market.

By Offering

  • Hardware
    • Automation and Control Systems
      • Displays
      • Guidance and Steering Systems
      • GPS/GNSS Devices
      • Drones/UAVs
      • Irrigation controllers                          
      • Handheld Mobile Devices/Handheld Computers      
      • Flow And Application Control Devices
      • Others
    • Sensing and Monitoring Devices
      • Yield Monitors
      • Soil Sensors
        • Moisture Sensors
        • Temperature Sensors
        • Nutrient Sensors
      • Water Sensors
      • Climate Sensors
    • Software
      • Local/Web-Based
      • Cloud-Based
    • Services
      • System Integration and Consulting Services
      • Managed Services
      • Connectivity Services
      • Assisted Professional Services
      • Maintenance and Support Services

By Application

  • Yield Monitoring
  • Crop Scouting
  • Field Mapping
  • Variable Rate Application
    • Precision Irrigation
    • Precision Seeding
    • Precision Fertilization
      • Nitrogen VRA
      • Phosphorous VRA
      • Lime VRA
    • Pesticide VRA
  • Weather Tracking and Forecasting
  • Inventory Management
  • Farm Labor Management
  • Financial Management
  • Others

By Technology

  • Precision Farming Guidance System
  • Remote Sensing Precision Farming
  • Variable-Rate Technology Precision Farming

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

Frequently Asked Questions

The global precision farming market size was exhibited at USD 9.35 billion in 2022 and is projected to hit around USD 35.12 billion by 2032

The global precision farming market is poised to grow at a CAGR of 14.15% from 2022 to 2030.

The major players operating in the precision farming market are AG DNA, AG Junction, AG Leader Technology, AGCO Corporation, Agribotix, Bayer CropScience AG, Case IH Agriculture, ClearAg Operations, Conservis Corporation, Deere & Company

North America region will lead the global precision farming market during the forecast period 2023 to 2032.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Precision Farming Market 

5.1. COVID-19 Landscape: Precision Farming Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Precision Farming Market, By Offering

8.1. Precision Farming Market, by Offering, 2023-2032

8.1.1 Hardware

8.1.1.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Precision Farming Market, By Application

9.1. Precision Farming Market, by Application, 2023-2032

9.1.1. Yield Monitoring

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Crop Scouting

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Field Mapping

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Variable Rate Application

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Weather Tracking and Forecasting

9.1.5.1. Market Revenue and Forecast (2020-2032)

9.1.6. Inventory Management

9.1.6.1. Market Revenue and Forecast (2020-2032)

9.1.7. Farm Labor Management

9.1.7.1. Market Revenue and Forecast (2020-2032)

9.1.8. Financial Management

9.1.8.1. Market Revenue and Forecast (2020-2032)

9.1.9. Others

9.1.9.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Precision Farming Market, By Technology 

10.1. Precision Farming Market, by Technology, 2023-2032

10.1.1. Precision Farming Guidance System

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Remote Sensing Precision Farming

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Variable-Rate Technology Precision Farming

10.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Precision Farming Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Offering (2020-2032)

11.1.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.3. Market Revenue and Forecast, by Technology (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Offering (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.4.3. Market Revenue and Forecast, by Technology (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Offering (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.5.3. Market Revenue and Forecast, by Technology (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Offering (2020-2032)

11.2.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.3. Market Revenue and Forecast, by Technology (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Offering (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.4.3. Market Revenue and Forecast, by Technology (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Offering (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.5.3. Market Revenue and Forecast, by Technology (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Offering (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.6.3. Market Revenue and Forecast, by Technology (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Offering (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.7.3. Market Revenue and Forecast, by Technology (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Offering (2020-2032)

11.3.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.3. Market Revenue and Forecast, by Technology (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Offering (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.4.3. Market Revenue and Forecast, by Technology (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Offering (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.5.3. Market Revenue and Forecast, by Technology (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Offering (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.6.3. Market Revenue and Forecast, by Technology (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Offering (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.7.3. Market Revenue and Forecast, by Technology (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Offering (2020-2032)

11.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.3. Market Revenue and Forecast, by Technology (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Offering (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.4.3. Market Revenue and Forecast, by Technology (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Offering (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.5.3. Market Revenue and Forecast, by Technology (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Offering (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.6.3. Market Revenue and Forecast, by Technology (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Offering (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.7.3. Market Revenue and Forecast, by Technology (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Offering (2020-2032)

11.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.3. Market Revenue and Forecast, by Technology (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Offering (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.4.3. Market Revenue and Forecast, by Technology (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Offering (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.5.3. Market Revenue and Forecast, by Technology (2020-2032)

Chapter 12. Company Profiles

12.1. AG DNA

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. AG Junction

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. AG Leader Technology

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. AGCO Corporation

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Agribotix

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Bayer CropScience AG

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Case IH Agriculture

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. ClearAg Operations

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Conservis Corporation

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Deere & Company

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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