AI in Crop Monitoring Market Size, Share, Opportunities, And Trends By Technology (Machine Learning, Computer Vision, Predictive Analytics, Others), By Offering (Hardware, Software, Services), By Application (Disease and Pest Management, Precision Irrigation, Yield Prediction, Soil Health Monitoring, Weed Control), And By Geography - Forecasts From 2025 To 2030

AI in Crop Monitoring Market Size:

The AI in crop monitoring market is set to witness robust growth at a CAGR of 14.80% during the forecast period to be worth US$1.921 billion in 2030 from US$0.963 billion in 2025.

AI in Crop Monitoring Market Trends

AI has risen in the Crop monitoring setting in agriculture due to advancements in AI and machine learning algorithms. This is increasing the precision of crop monitoring capabilities. Sensor technology and IoT are receiving attractiveness for understanding and analyzing crop health and farm growth. Besides, precision farming with data and technology for tailoring cultivation to specific landforms has become stronger with AI's application in providing the required analysis and insights for data processing.

AI in Crop Monitoring Market Drivers:

• Increasing Global Food Demand: There is an increasing demand for food globally, which has been established as one of the foremost factors that AI-powered crop monitoring solutions help improve crop yields and resource use. In their study, NIH reckons China's per capita wheat consumption is expected to increase to 76 kg in 2030, while their projected figures are 95 kg per capita wheat consumption for 2050 yearly. Meanwhile, for India, estimates are 60.4 to 74 kg by 2030 from 2019.
• Government Intervention and Funding: Various government initiatives and funding have significantly emphasized AI in crop monitoring market, which increases research and development. These government efforts help researchers develop new AI algorithms, sensor technologies, and analysis tools for crop monitoring through subsidies and grants that make it easier for farmers to invest in AI-powered solutions.

AI in Crop Monitoring Market Segmentation Analysis by Technology

• Machine Learning: The proliferation of sensors, drones, and images captured from space has greatly increased the availability of data that machine learning algorithms can analyze. This enhances accuracy for better decision-making and optimized results.
• Computer Vision: Computer vision powers detection systems for identifying plant diseases and weeds. The increased use of drones and satellite imagery provides high-resolution images that can be used for detailed analysis of crop health and field conditions.
• Predictive Analytics: Predictive analytics provides climate- and market-based insights to farmers, negating adverse decision-making and risks and improving resource use, costs, and the consequences on nature.
• Others: It includes, in addition, text analysis using Natural Language Processing (NLP) and the development of robotic devices to facilitate autonomous farming in planting, harvesting, and weeding.

AI in Crop Monitoring Market Segmentation Analysis by Offering

• Hardware: The increasing adoption of precision agricultural strategies, such as using sensors, drones, and robots to collect information on plant health and soil nutrition, has propelled the hardware segment’s growth.
• Software: Software is driven by AI algorithms that can process large data and identify patterns to provide more accurate crop monitoring solutions. More data from sources like satellites and drones is fueling these software algorithms.
• Services: Services are in demand due to the need for expertise, increasing awareness of AI, and the rise of agritech startups so farmers can implement AI-powered crop monitoring solutions.

AI in Crop Monitoring Market Geographical Outlook:

The AI in crop monitoring market report analyzes growth factors across the following five regions:

• North America: North America is experiencing growth in investment in precision agriculture, especially in the US and Canada, benefiting from a strong infrastructure and research base.
• South America: South America is witnessing growth, propelled by adopting AI solutions, particularly in Brazil and Argentina, to address climate change and resource depletion.
• Europe: Europe is oriented toward environmental trends by investing in these technologies. Germany, France, and the UK are investing in sustainable and precision farming concepts because of government support for adopting agricultural technology.
• Middle East and Africa: The Middle East and Africa are new frontiers for AI solutions for agriculture, more so in arid areas, such as Saudi Arabia, UAE, and South Africa, which are key countries of agri-tech in crop monitoring.
• Asia-Pacific: The Asia-Pacific region is rising because of increasing labor costs, paucity of land, and population, with China, India, and Japan ahead in the adoption curve of AI solutions.

AI in Crop Monitoring Market – Competitive Landscape

• Taranis
• Sentera
• EOS Data Analytics
• Plantix

These companies are providing different AI tools and solutions to improve crop yield, handling, and water consumption. Thus, they are fueling AI in crop monitoring market growth and, therefore, the farmer’s efficiency and output.

AI in Crop Monitoring Market Latest Developments:

• In October 2024, Crop Protection and Taranis collaborated to allow retailers in the US to access AI agronomy solutions and business propositions. This collaboration aims to improve themes of agronomic performance and conservative genetic ideas and secure Syngenta as a global player in crop protection.
• In September 2024, the scientists funded by NIFA launched Arboretum, the dataset containing 327,000 images of plant and animal species. The 134.6 million expert-verified images from the iNaturalist citizen science platform are intended to spur the creation of new AI techniques for other tasks, such as pest control, crop monitoring, or environmental conservation.

AI in Crop Monitoring Market Scope:

Report Metric	Details
AI in Crop Monitoring Market Size in 2025	US$0.963 billion
AI in Crop Monitoring Market Size in 2030	US$1.921 billion
Growth Rate	CAGR of 14.80%
Study Period	2020 to 2030
Historical Data	2020 to 2023
Base Year	2024
Forecast Period	2025 – 2030
Forecast Unit (Value)	USD Billion
Segmentation	Technology Offering Application Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the AI in Crop Monitoring Market	Taranis Plantix Sentera Farmonaut Technologies Pvt. Ltd. EOS Data Analytics, Inc.
Customization Scope	Free report customization with purchase

 

AI in Crop Monitoring Market is analyzed into the following segments:

• By Technology
  • Machine Learning
  • Computer Vision
  • Predictive Analytics
  • Others
• By Offering
  • Hardware
  • Software
  • Services
• By Application
  • Disease and Pest Management
  • Precision Irrigation
  • Yield Prediction
  • Soil Health Monitoring
  • Weed Control
• By Geography
  • North America
    • USA
    • Canada              
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Others

 

Our Best-Performing Industry Reports:

• Seed Market
• Agriculture Inoculant Market
• Agricultural Tractor Market

---

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

2.1. Research Design

2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI IN CROP MONITORING MARKET BY TECHNOLOGY 

5.1. Introduction

5.2. Machine Learning:

5.3. Computer Vision

5.4. Predictive Analytics

5.5. Others

6. AI IN CROP MONITORING MARKET BY OFFERING 

6.1. Introduction

6.2. Hardware

6.3. Software

6.4. Services

7. AI IN CROP MONITORING MARKET BY APPLICATION 

7.1. Introduction

7.2. Disease and Pest Management

7.3. Precision Irrigation

7.4. Yield Prediction

7.5. Soil Health Monitoring

7.6. Weed Control

8. AI IN CROP MONITORING MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Technology

8.2.2. By Offering 

8.2.3. By Application

8.2.4. By Country

8.2.4.1. USA

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Technology

8.3.2. By Offering 

8.3.3. By Application

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Technology

8.4.2. By Offering 

8.4.3. By Application

8.4.4. By Country

8.4.4.1. United Kingdom

8.4.4.2. Germany

8.4.4.3. France

8.4.4.4. Spain

8.4.4.5. Others

8.5. Middle East and Africa

8.5.1. By Technology

8.5.2. By Offering 

8.5.3. By Application

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Others

8.6. Asia Pacific

8.6.1. By Technology

8.6.2. By Offering 

8.6.3. By Application

8.6.4. By Country

8.6.4.1. China

8.6.4.2. Japan

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Taiwan

8.6.4.6. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Taranis

10.2. Plantix

10.3. Sentera

10.4. Farmonaut Technologies Pvt. Ltd.

10.5. EOS Data Analytics, Inc. 

10.6. CropX Inc.

10.7. Cropin Technology

10.8. Deere & Company

10.9. IBM Corporation

10.10. Bayer

Taranis

Plantix

Sentera

Farmonaut Technologies Pvt. Ltd.

EOS Data Analytics, Inc. 

CropX Inc.

Cropin Technology

Deere & Company

IBM Corporation

Bayer