Digital Agriculture Market By Technology (Internet of Things [IoT], Artificial Intelligence [AI], Big Data Analytics, Robotics, Drones, Cloud Computing), By Application (Precision Farming, Smart Irrigation, Livestock Monitoring, Crop Management, Farm Management Software), By End-User (Farmers, Agribusinesses, Government & Regulatory Bodies), By Farm Size (Small-Scale Farms, Large-Scale Farms), By Type of Equipment (Sensors and Monitoring Systems, Automated Machinery and Vehicles, Software Solutions); Global Insights & Forecast (2024 – 2030)

Published: January, 2025  
|   Report ID: AG6010  
|   Agriculture and Agri Inputs

As per Intent Market Research, the Digital Agriculture Market was valued at USD 21.7 billion and will surpass USD 48.5 billion by 2030; growing at a CAGR of 12.1% during 2024 - 2030.

The Digital Agriculture Market is revolutionizing the agricultural sector by integrating advanced technologies to optimize farming practices. With the global population steadily increasing and the need for sustainable food production growing, digital agriculture has emerged as a vital solution to enhance productivity, reduce resource consumption, and minimize environmental impacts. Digital agriculture involves the use of various technologies such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, drones, and cloud computing to monitor, analyze, and manage agricultural processes. By leveraging these innovations, farmers can make data-driven decisions, improve operational efficiency, and increase crop yields while maintaining sustainability.

The growing demand for food, coupled with the challenges posed by climate change, is driving the adoption of digital agriculture technologies worldwide. As traditional farming methods become less efficient, digital solutions are offering new opportunities to address critical issues such as water scarcity, pest control, soil health, and crop management. The market for digital agriculture is expected to continue its robust growth as technology adoption accelerates, particularly in emerging markets where smallholder farmers are increasingly adopting modern agricultural solutions.

IoT Technology Leads Digital Agriculture Market Growth

Among the various technologies, Internet of Things (IoT) is the largest and most widely adopted technology in the Digital Agriculture Market. IoT is transforming agriculture by enabling real-time monitoring of crops, livestock, and soil conditions. Through the use of IoT devices such as sensors, farmers can collect valuable data about temperature, moisture levels, and soil composition, which can then be used to make informed decisions. These devices are connected to the cloud, allowing farmers to remotely monitor their fields and receive updates on environmental conditions.

The adoption of IoT in agriculture is driven by its ability to reduce operational costs and improve resource efficiency. For example, IoT-based smart irrigation systems help optimize water usage, ensuring that crops receive adequate moisture without wasting water, a crucial benefit in areas facing water scarcity. IoT is also being used to monitor crop health, detect diseases early, and optimize the application of fertilizers and pesticides. With the increasing need for precision farming and sustainable agricultural practices, IoT technology is expected to continue driving market growth, particularly in large-scale farming operations where managing vast amounts of data is critical.

Precision Farming: The Fastest Growing Application

Precision Farming is the fastest growing application in the Digital Agriculture Market, driven by the increasing need for efficient resource management and higher crop yields. Precision farming involves using data and technology to manage field variability in crops, soil, and other farming inputs. Through the use of advanced tools such as GPS, sensors, and drones, precision farming enables farmers to optimize planting, irrigation, fertilization, and harvesting.

The benefits of precision farming are numerous, including reduced input costs, higher productivity, and improved sustainability. By accurately applying fertilizers, pesticides, and water only where needed, precision farming reduces waste and minimizes the environmental impact of farming. As more farmers seek to maximize yields while minimizing costs, precision farming is becoming increasingly popular, particularly in regions with limited resources or where environmental regulations are stringent. The market for precision farming technologies is expected to continue expanding rapidly as farmers adopt digital solutions to enhance crop management and meet the global demand for food.

Large-Scale Farms Drive Adoption of Digital Agriculture

The Large-Scale Farms segment is the largest end-user category in the Digital Agriculture Market. Large-scale farming operations are adopting digital agriculture technologies at a rapid pace due to the significant benefits they offer in terms of efficiency and productivity. These farms are typically located in regions with vast agricultural areas and often face challenges in managing resources, crops, and livestock.

With the use of technologies such as IoT, AI, and drones, large-scale farms can automate and optimize various farming processes, including irrigation, fertilization, crop monitoring, and harvest management. The scale of operations on these farms means that the potential for cost savings and efficiency improvements through digital technologies is substantial. Additionally, large-scale farms are better positioned to invest in these technologies, making them early adopters of digital agriculture. The increasing pressure to improve productivity, reduce costs, and meet sustainability targets will continue to drive the adoption of digital agriculture solutions among large-scale farms.

Cloud Computing: Enabling Seamless Data Management

Cloud Computing is a key enabler of the Digital Agriculture Market, providing a platform for storing and processing vast amounts of agricultural data. As farming becomes more data-intensive, cloud computing solutions offer scalability, accessibility, and cost-effectiveness for managing the enormous volumes of data generated by IoT devices, sensors, drones, and other digital tools. Cloud-based platforms allow farmers to store, analyze, and access data remotely, providing real-time insights into farm conditions, crop health, and operational performance.

The growing use of cloud computing in agriculture allows for better decision-making by offering predictive analytics and data-driven recommendations. For example, farmers can use cloud-based platforms to monitor weather patterns, track crop growth stages, and receive alerts for potential pest infestations or disease outbreaks. With the continued expansion of internet connectivity in rural areas and the increasing reliance on data-driven decision-making, cloud computing is expected to play a crucial role in the ongoing transformation of agriculture.

North America: The Largest Region in Digital Agriculture

The North America region holds the largest share of the Digital Agriculture Market, driven by the high adoption rate of advanced agricultural technologies and strong support for innovation. The United States and Canada are at the forefront of adopting digital agriculture solutions, with significant investments in precision farming technologies, IoT-based solutions, and agricultural robotics. In North America, large-scale farms, which are prevalent in this region, are the primary consumers of digital agriculture technologies.

The region's robust agricultural infrastructure, high levels of technology adoption, and strong governmental support for innovation are key factors contributing to its dominance in the market. Additionally, the North American market is characterized by the presence of several leading technology providers and startups focused on developing cutting-edge digital agriculture solutions. As farmers in this region continue to embrace data-driven approaches, North America is expected to maintain its leadership in the global digital agriculture market.

Competitive Landscape and Leading Players

The Digital Agriculture Market is highly competitive, with a range of technology providers offering innovative solutions to address the needs of modern farming. Leading companies in the market include John Deere, BASF SE, Monsanto (now part of Bayer), Trimble Inc., AG Leader Technology, CNH Industrial, and Syngenta, among others. These companies are actively developing and deploying solutions in precision farming, IoT, AI, and cloud computing, driving the adoption of digital agriculture technologies.

Competition is fueled by the growing demand for more efficient farming practices and the increasing need for sustainable solutions. Players in the market are focusing on strategic partnerships, acquisitions, and innovations to expand their product offerings and market reach. For example, collaborations between technology providers and agribusinesses are leading to the development of integrated solutions that combine hardware and software to offer a seamless digital agriculture experience. As the market continues to evolve, companies will need to innovate and adapt to the changing needs of farmers to stay competitive.

Recent Developments:

  • John Deere expanded its portfolio of digital agriculture tools with a new AI-powered crop management solution for real-time decision-making.
  • Trimble Inc. launched an upgraded version of its precision farming software with improved data analytics capabilities for better farm management.
  • The Climate Corporation introduced new IoT sensors to monitor soil moisture levels and optimize irrigation systems, reducing water usage.
  • Raven Industries developed a new autonomous vehicle system for precision farming, enabling automated planting and harvesting.
  • BASF SE introduced a data-driven precision farming solution that combines satellite imagery and AI to optimize crop management and pesticide usage.

List of Leading Companies:

  • John Deere
  • Trimble Inc.
  • AG Leader Technology
  • AG Leader Technology
  • CNH Industrial
  • Climate Corporation (a subsidiary of Bayer)
  • Raven Industries
  • BASF SE
  • Yara International ASA
  • Pioneer Hi-Bred International (DuPont)
  • Mahindra & Mahindra Ltd.
  • Kubota Corporation
  • Rabo AgriFinance
  • Corteva Agriscience
  • Sentera

Report Scope:

Report Features

Description

Market Size (2023)

USD 21.7 billion

Forecasted Value (2030)

USD 48.5 billion

CAGR (2024 – 2030)

12.1%

Base Year for Estimation

2023

Historic Year

2022

Forecast Period

2024 – 2030

Report Coverage

Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments

Segments Covered

Digital Agriculture Market By Technology (Internet of Things [IoT], Artificial Intelligence [AI], Big Data Analytics, Robotics, Drones, Cloud Computing), By Application (Precision Farming, Smart Irrigation, Livestock Monitoring, Crop Management, Farm Management Software), By End-User (Farmers, Agribusinesses, Government & Regulatory Bodies), By Farm Size (Small-Scale Farms, Large-Scale Farms), By Type of Equipment (Sensors and Monitoring Systems, Automated Machinery and Vehicles, Software Solutions)

Regional Analysis

North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa)

Major Companies

John Deere, Trimble Inc., AG Leader Technology, AG Leader Technology, CNH Industrial, Climate Corporation (a subsidiary of Bayer), Raven Industries, BASF SE, Yara International ASA, Pioneer Hi-Bred International (DuPont), Mahindra & Mahindra Ltd., Kubota Corporation, Rabo AgriFinance, Corteva Agriscience, Sentera

Customization Scope

Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements

1. Introduction

   1.1. Market Definition

   1.2. Scope of the Study

   1.3. Research Assumptions

   1.4. Study Limitations

2. Research Methodology

   2.1. Research Approach

      2.1.1. Top-Down Method

      2.1.2. Bottom-Up Method

      2.1.3. Factor Impact Analysis

  2.2. Insights & Data Collection Process

      2.2.1. Secondary Research

      2.2.2. Primary Research

   2.3. Data Mining Process

      2.3.1. Data Analysis

      2.3.2. Data Validation and Revalidation

      2.3.3. Data Triangulation

3. Executive Summary

   3.1. Major Markets & Segments

   3.2. Highest Growing Regions and Respective Countries

   3.3. Impact of Growth Drivers & Inhibitors

   3.4. Regulatory Overview by Country

4. Digital Agriculture Market, by Technology (Market Size & Forecast: USD Million, 2022 – 2030)

   4.1. Internet of Things (IoT)

   4.2. Artificial Intelligence (AI)

   4.3. Big Data Analytics

   4.4. Robotics

   4.5. Drones

   4.6. Cloud Computing

   4.7. Others

5. Digital Agriculture Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030)

   5.1. Precision Farming

   5.2. Smart Irrigation

   5.3. Livestock Monitoring

   5.4. Crop Management

   5.5. Farm Management Software

6. Digital Agriculture Market, by End-User (Market Size & Forecast: USD Million, 2022 – 2030)

   6.1. Farmers

   6.2. Agribusinesses

   6.3. Government & Regulatory Bodies

7. Digital Agriculture Market, by Farm Size (Market Size & Forecast: USD Million, 2022 – 2030)

   7.1. Small-Scale Farms

   7.2. Large-Scale Farms

8. Digital Agriculture Market, by Type of Equipment (Market Size & Forecast: USD Million, 2022 – 2030)

   8.1. Sensors and Monitoring Systems

   8.2. Automated Machinery and Vehicles

   8.3. Software Solutions

9. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030)

   9.1. Regional Overview

   9.2. North America

      9.2.1. Regional Trends & Growth Drivers

      9.2.2. Barriers & Challenges

      9.2.3. Opportunities

      9.2.4. Factor Impact Analysis

      9.2.5. Technology Trends

      9.2.6. North America Digital Agriculture Market, by Technology

      9.2.7. North America Digital Agriculture Market, by Application

      9.2.8. North America Digital Agriculture Market, by End-User

      9.2.9. North America Digital Agriculture Market, by Farm Size

      9.2.10. North America Digital Agriculture Market, by Type of Equipment

      9.2.11. By Country

         9.2.11.1. US

               9.2.11.1.1. US Digital Agriculture Market, by Technology

               9.2.11.1.2. US Digital Agriculture Market, by Application

               9.2.11.1.3. US Digital Agriculture Market, by End-User

               9.2.11.1.4. US Digital Agriculture Market, by Farm Size

               9.2.11.1.5. US Digital Agriculture Market, by Type of Equipment

         9.2.11.2. Canada

         9.2.11.3. Mexico

    *Similar segmentation will be provided for each region and country

   9.3. Europe

   9.4. Asia-Pacific

   9.5. Latin America

   9.6. Middle East & Africa

10. Competitive Landscape

   10.1. Overview of the Key Players

   10.2. Competitive Ecosystem

      10.2.1. Level of Fragmentation

      10.2.2. Market Consolidation

      10.2.3. Product Innovation

   10.3. Company Share Analysis

   10.4. Company Benchmarking Matrix

      10.4.1. Strategic Overview

      10.4.2. Product Innovations

   10.5. Start-up Ecosystem

   10.6. Strategic Competitive Insights/ Customer Imperatives

   10.7. ESG Matrix/ Sustainability Matrix

   10.8. Manufacturing Network

      10.8.1. Locations

      10.8.2. Supply Chain and Logistics

      10.8.3. Product Flexibility/Customization

      10.8.4. Digital Transformation and Connectivity

      10.8.5. Environmental and Regulatory Compliance

   10.9. Technology Readiness Level Matrix

   10.10. Technology Maturity Curve

   10.11. Buying Criteria

11. Company Profiles

   11.1. John Deere

      11.1.1. Company Overview

      11.1.2. Company Financials

      11.1.3. Product/Service Portfolio

      11.1.4. Recent Developments

      11.1.5. IMR Analysis

    *Similar information will be provided for other companies 

   11.2. Trimble Inc.

   11.3. AG Leader Technology

   11.4. AG Leader Technology

   11.5. CNH Industrial

   11.6. Climate Corporation (a subsidiary of Bayer)

   11.7. Raven Industries

   11.8. BASF SE

   11.9. Yara International ASA

   11.10. Pioneer Hi-Bred International (DuPont)

   11.11. Mahindra & Mahindra Ltd.

   11.12. Kubota Corporation

   11.13. Rabo AgriFinance

   11.14. Corteva Agriscience

   11.15. Sentera

12. Appendix

Let us connect with you TOC

I have read the Terms & Conditions and Privacy Policy I agree to its terms

A comprehensive market research approach was employed to gather and analyze data on the Digital Agriculture Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Digital Agriculture Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach -

Secondary Research

Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.

Primary Research

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Digital Agriculture Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down -

Data Triangulation

To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.

Let us connect with you


I have read the Terms & Conditions and Privacy Policy I agree to its terms
Available Formats
REPORT BUYING OPTIONS


Buy Now