Digital Agriculture Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)

The Digital Farming Market is Segmented by Crop Monitoring (Technology, Solution, and Application), Artificial Intelligence (Application and Deployment), Precision Farming (Application and Type), and Geography (North America, Europe, Asia-Pacific, South America, and Africa). The report offers the market size and forecasts in terms of value (in USD million) for the above-mentioned segments.

Digital Agriculture Market Size

Digital Agriculture Market Summary
Study Period 2019 - 2029
Market Size (2024) USD 20.01 Billion
Market Size (2029) USD 32.96 Billion
CAGR (2024 - 2029) 10.50 %
Fastest Growing Market Asia Pacific
Largest Market North America

Major Players

Digital Agriculture Market Major Players

*Disclaimer: Major Players sorted in no particular order

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Digital Agriculture Market Analysis

The Digital Agriculture Market size is estimated at USD 20.01 billion in 2024, and is expected to reach USD 32.96 billion by 2029, growing at a CAGR of 10.5% during the forecast period (2024-2029).

The increasing awareness about the benefits of digital agriculture in optimizing agricultural production has resulted in a great boom in the agriculture market. With the growing food demand, owing to the increasing population, the adoption of digital agriculture tools is inevitable.

Growing concerns regarding food security and nutrition are anticipated to provide several opportunities for the industry to prosper. The United States is expected to invest a significant share in facilitating the ecosystem for future foods. As more consumer insights are developed in terms of 'fresh-from-farm-to-table,' the availability of freshly harvested vegetables across retail outlets is expected to increase in the United States. For instance, in June 2021, the National Science Foundation's Cyber-Physical Systems program and the USDA's National Institute of Food and Agriculture (NIFA) provided USD 7 million in grants to researchers led by engineers from the Iowa State University and the University of Illinois Urbana-Champaign on operations of farm managing, like sensing, modeling, and decision-making at the level of individual crops.

The United Kingdom government, in its industrial strategy, has put artificial intelligence (AI) aimed at escalating crop productivity. The country has committed to boosting R&D spending to 2.4% of the GDP by 2027. Furthermore, a new EUR 500 million project has been announced in Cambridge, which seeks to cement Britain's position as an innovator in the growing agri-tech industry. The development will accommodate up to 4,000 employees and will bring together agricultural and tech companies to spearhead a center of global agricultural innovation and productivity.

Strategic policymaking for precision farming by the countries is expected to encourage farmers to adopt the related technologies. Farm advisory services are bridging the gap between science and practice. These services help farmers in adopting new innovative technologies, which is the latest trend in the market. They are more efficient in utilizing the available resources, are cost-effective, and can help face challenges.

Technological advancements and innovations are among the major factors driving the digital agriculture market, helping farmers maximize their yield and minimize losses with efficient use of resources. Hence, the increased need to meet the demand of the growing population, along with the limited scarcity of natural resources, is anticipated to drive the market for digital farming globally during the forecast period.

Digital Agriculture Market Trends

This section covers the major market trends shaping the Digital Agriculture Market according to our research experts:

Increasing Pressure for Higher Productivity and Improved Crop Health

There is constant pressure on the farmers to produce more food and animal feed with lesser amounts of chemicals. At the same time, it is essential to use less energy and labor while improving the management of environmental land and water. With the population growing rapidly, it is becoming very difficult to feed the increasing population, thereby creating high pressure to increase agricultural productivity. The use of software such as precision farming, along with the Internet of Things (IoT) tools, is a solution to all these requirements.

According to the FAO data, the yield for major cereal crops like rice, wheat, barley, corn, and other grains reduced considerably from 41,079 hg/ha in 2019 to 40,708 hg/ha in 2020 for wheat; a similar reduced trend for barley and other coarse grains was observed. Precision farming helps farmers know the seeds that have to be planted, the number of fertilizers that need to be applied, the best time to harvest the crops, and the expected output.

The adoption of technology in Europe and North America has increased crop productivity. For instance, in June 2022, Idele (Institut d'Elevage), France, developed a data-based online application called CAP'2ER, with thirty sets of activity data entered into the program to determine agro-ecological indicators. This application analyzes five sets of databases, such as livestock, manure management, fields, feed, and energy consumption, by analyzing total annual fuel consumption, animal productivity (fertility, growth, and marketing age), feed purchased, manure quantities and management, number of trees and thickets, shrubs, hedges, grass strips, stone piles and stone walls, and water bodies on the farm.

The Brazilian Precision Agriculture Research Network (Embrapa), established by Brazil Agricultural Research Corporation, has generated various tools for soybean, maize, wheat, rice, cotton, pasture, eucalyptus, pines, and other crops. The use of precision agriculture in Brazil has led to improvements in crop yields as well as environmental protection. For instance, in June 2022, a study was conducted by Embrapa instrumentation, São Carlos, in the winery Terras Altas (Ribeirão Preto, SP), in partnership with the São Paulo State University, to produce distinguished wines by precision farming by double pruning systems and other management practices.

Thus, the use of precision farming software, such as MapShots, AgDNA, AgroSense, and others, will help increase crop productivity, thereby improving soil health and driving the demand for digital agriculture in other regions of the world.

Digital Agriculture Market: Yield, in hg/ha, Wheat, Global, 2019- 2020

Asia-Pacific is the Fastest-growing Market

The Chinese agricultural sector has undergone a groundbreaking revolution with respect to the adoption of smart farming practices in recent years. Although the advent of sensor-based technologies, such as Internet of Things (IoT) cellular devices, gear tooth sensor-based irrigation and fertilization equipment, and valve position sensors, among others, is relatively new in the domain, the country has been witnessing a new-found demand for sensors, primarily due to the increased rate of mechanization and smart agricultural practices adopted by the farmers.

China's contribution rate to its agricultural science and technology progress indicates the country's revitalization strategy in terms of agricultural modernization. In 2020, the Chinese central government launched a pilot project named ''digital village', promoting the use of information technology to stimulate domestic consumption, leading to a boom in the mobile internet-driven economy.

Similarly, the rising demand for digitization in Indian agriculture is well acknowledged, with efforts being made toward digitizing the prevailing value chain. In September 2021, the Union Minister of Agriculture & Farmers Welfare launched the initiation of the Digital Agriculture Mission 2021-2025 while signing five memoranda of understanding (MoUs) with CISCO, Ninjacart, Jio Platforms Limited, ITC Limited, and NCDEX e-Markets Limited (NeML), to forward digital agriculture through pilot projects. The Digital Agriculture Mission 2021-2025 aims to support and accelerate projects based on new technologies, like AI, blockchain, remote sensing, and GIS technology and the use of drones and robots.

In February 2020, the Jio Agri (JioKrishi) platform was launched by Reliance Group of Company to digitize the agricultural ecosystem along the entire value chain to empower farmers. The core function of the platform uses stand-alone application data to provide advisory services. The advanced functions use data from various sources, feed the data into artificial intelligence (AI)/machine learning (ML) algorithms, and provide accurate, personalized advice. The pilot project for this initiative will take place at Jalna and Nashik (Maharashtra). Thus, the rise in technology-driven agricultural equipment availability and an increase in government funding for the establishment of tech firms are driving the digital agriculture market in the Asia-Pacific region.

Digital Agriculture Market: Growth Rate, in %, Region, Global, 2022-2027

Digital Agriculture Industry Overview

The digital agriculture market is highly fragmented, with various small players competing against giant firms to occupy market share. Some of the major revenue-generating companies in the market include AGCO Corporation, HummingBird Technologies, IBM Corporation, Gamaya SA, Bayer Cropscience AG, Microsoft Corporation, and Trimble Inc.

The market is expected to be more consolidated in the future, with the major players expanding and investing in their businesses by adopting various strategies, such as mergers and acquisitions, expansions, partnerships, and product launches. The companies are likely to introduce new product lines and partner with other firms to diversify their digital agriculture businesses.

Digital Agriculture Market Leaders

  1. AGCO Corporation

  2. Microsoft Corporation

  3. HummingBird Technologies

  4. IBM Corporation

  5. Gamaya SA

*Disclaimer: Major Players sorted in no particular order

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Digital Agriculture Market News

November 2022: AGCO Corporation launched a brand-new online tool called Geo-Bird to help farmers around the world independently plan and optimize their global navigation satellite system (GNSS) machine guidance lines.

October 2021: CNH Industrial launched an innovative platform named AGXTEND for digital agricultural solutions in Brazil. AGXTEND develops and provides ground-breaking technologies that allow farmers to extend their efficiency, sustainability of agribusinesses by precision farming, and thereby their economic success.

January 2021: AgEagle Aerial Systems, an industry-leading drone systems and solutions provider, acquired MicaSense Inc. from Parrot, a European drone group, in a combined cash and stock transaction valued at USD 23 million. This acquisition empowered AgEagle to drive true innovation and advancements of commercial drone systems and solutions for several high-growth industry segments.

December 2020: IBM Services and the German Society for International Cooperation (GIZ) launched a three-stage support for the Digital4Agriculture Initiative (D4Ag) for small-scale agriculture ventures or start-ups in Africa to predict the weather information and services accessible to improve their crop production.

Digital Agriculture Market Report - Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Market Drivers

    3. 4.3 Market Restraints

    4. 4.4 Porter's Five Forces Analysis

      1. 4.4.1 Bargaining Power of Buyers

      2. 4.4.2 Bargaining Power of Suppliers

      3. 4.4.3 Threat of Substitute Products

      4. 4.4.4 Threat of New Entrants

      5. 4.4.5 Intensity of Competitive Rivalry

  5. 5. MARKET SEGMENTATION

    1. 5.1 Crop Monitoring

      1. 5.1.1 Technology

        1. 5.1.1.1 Guidance System

        2. 5.1.1.2 Remote Sensing

        3. 5.1.1.3 Variable Rate Technology

      2. 5.1.2 Solution

        1. 5.1.2.1 Hardware

        2. 5.1.2.2 Software

        3. 5.1.2.3 Services

        4. 5.1.2.4 Other Solutions

      3. 5.1.3 Application

        1. 5.1.3.1 Field Mapping

        2. 5.1.3.2 Soil Monitoring

        3. 5.1.3.3 Crop Scouting

        4. 5.1.3.4 Yield Monitoring

        5. 5.1.3.5 Variable Rate Application

        6. 5.1.3.6 Other Applications

    2. 5.2 Artificial Intelligence

      1. 5.2.1 Application

        1. 5.2.1.1 Weather Tracking

        2. 5.2.1.2 Precision Farming

        3. 5.2.1.3 Drone Analytics

      2. 5.2.2 Deployment

        1. 5.2.2.1 Cloud

        2. 5.2.2.2 On-premise

        3. 5.2.2.3 Hybrid

    3. 5.3 Precision Farming

      1. 5.3.1 Application

        1. 5.3.1.1 Crop Management

        2. 5.3.1.2 Financial Management

        3. 5.3.1.3 Farm Inventory Management

        4. 5.3.1.4 Personnel Management

        5. 5.3.1.5 Weather Tracking and Forecasting

        6. 5.3.1.6 Other Applications

      2. 5.3.2 Type

        1. 5.3.2.1 Local/Web-based

        2. 5.3.2.2 Cloud-based

    4. 5.4 Geography

      1. 5.4.1 North America

        1. 5.4.1.1 United States

        2. 5.4.1.2 Canada

        3. 5.4.1.3 Mexico

        4. 5.4.1.4 Rest of North America

      2. 5.4.2 Europe

        1. 5.4.2.1 Germany

        2. 5.4.2.2 United Kingdom

        3. 5.4.2.3 France

        4. 5.4.2.4 Italy

        5. 5.4.2.5 Spain

        6. 5.4.2.6 Rest of Europe

      3. 5.4.3 Asia-Pacific

        1. 5.4.3.1 India

        2. 5.4.3.2 Australia

        3. 5.4.3.3 China

        4. 5.4.3.4 Japan

        5. 5.4.3.5 Australia

        6. 5.4.3.6 Rest of Asia-Pacific

      4. 5.4.4 South America

        1. 5.4.4.1 Brazil

        2. 5.4.4.2 Argentina

        3. 5.4.4.3 Rest of South America

      5. 5.4.5 Africa

        1. 5.4.5.1 South Africa

        2. 5.4.5.2 Rest of Africa

  6. 6. COMPETITIVE LANDSCAPE

    1. 6.1 Most Adopted Strategies

    2. 6.2 Market Share Analysis

    3. 6.3 Company Profile

      1. 6.3.1 Gamaya SA

      2. 6.3.2 Easytosee Agtech

      3. 6.3.3 AGCO Corporation

      4. 6.3.4 Small Robot Company

      5. 6.3.5 Microsoft Corporation

      6. 6.3.6 IBM Corporation

      7. 6.3.7 Hummingbird Technologies Limited

      8. 6.3.8 Deere & Company

      9. 6.3.9 AgEagle Aerial Systems Inc.

      10. 6.3.10 Bayer CropScience AG

      11. 6.3.11 Case IH Agriculture (CNH Industrial America LLC.)

      12. 6.3.12 DTN (CLEAR AG SOLUTIONS)

      13. 6.3.13 Conservis Corporation

      14. 6.3.14 Raven Industries

      15. 6.3.15 Topcon Positioning Systems

      16. 6.3.16 Trimble Inc.

  7. 7. MARKET OPPORTUNITIES AND FUTURE TRENDS

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Digital Agriculture Industry Segmentation

Digital agriculture, sometimes known as smart farming or e-agriculture, is a tool that digitally collects, stores, analyzes, and shares electronic data and/or information in agriculture. Digital agriculture is the use of new and advanced technologies integrated into one system to enable farmers and other stakeholders within the agriculture value chain to improve food production. 

The digital agriculture market is segmented by crop monitoring (technology, solution, and application), artificial intelligence (application and deployment), precision farming (application and type), and geography (North America, Europe, Asia-Pacific, South America, and Africa). The report offers the market size and forecasts in terms of value (in USD million) for the above-mentioned segments.

Crop Monitoring
Technology
Guidance System
Remote Sensing
Variable Rate Technology
Solution
Hardware
Software
Services
Other Solutions
Application
Field Mapping
Soil Monitoring
Crop Scouting
Yield Monitoring
Variable Rate Application
Other Applications
Artificial Intelligence
Application
Weather Tracking
Precision Farming
Drone Analytics
Deployment
Cloud
On-premise
Hybrid
Precision Farming
Application
Crop Management
Financial Management
Farm Inventory Management
Personnel Management
Weather Tracking and Forecasting
Other Applications
Type
Local/Web-based
Cloud-based
Geography
North America
United States
Canada
Mexico
Rest of North America
Europe
Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific
India
Australia
China
Japan
Australia
Rest of Asia-Pacific
South America
Brazil
Argentina
Rest of South America
Africa
South Africa
Rest of Africa
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Digital Agriculture Market Research FAQs

The Digital Agriculture Market size is expected to reach USD 20.01 billion in 2024 and grow at a CAGR of 10.5% to reach USD 32.96 billion by 2029.

In 2024, the Digital Agriculture Market size is expected to reach USD 20.01 billion.

AGCO Corporation, Microsoft Corporation, HummingBird Technologies, IBM Corporation and Gamaya SA are the major companies operating in the Digital Agriculture Market.

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).

In 2024, the North America accounts for the largest market share in Digital Agriculture Market.

In 2023, the Digital Agriculture Market size was estimated at USD 18.11 billion. The report covers the Digital Agriculture Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Digital Agriculture Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.

Digital Agriculture Industry Report

Statistics for the 2024 Digital Agriculture market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Digital Agriculture analysis includes a market forecast outlook to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.

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Digital Agriculture Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)