The AI for agriculture market is expected to grow at a CAGR of 24.57%, reaching a market size of US$6.06 billion in 2029 from US$2.02 billion in 2024.
Variables on temperature, soil, water use, weather, etc., are generated daily by farms. Artificial intelligence (AI) and machine learning models use this data in real-time to derive insightful conclusions, including determining the optimal time for planting seeds, selecting crops, choosing hybrid seeds for higher yields, and other agricultural decisions. Precision farming, also called intelligent systems, helps improve the general value and precision of yields. AI helps to identify infestations, plant diseases, and malnourishment in farms. AI sensors can detect and target weeds before choosing which herbicide to apply in a region.
Many technical firms created robots that accurately monitor weeds with spray guns using image processing techniques and artificial intelligence. These robots can lower the price of herbicides by eliminating large amounts of the chemicals that are often sprayed on crops. By dramatically reducing the number of pesticides required in the fields, these sophisticated AI sprayers can raise the standard of agricultural output.
Variables on temperature, soil, water use, weather, etc., are generated daily by farms. Artificial intelligence (AI) and machine learning models use this data in real-time to derive insightful conclusions, including determining the optimal time for planting seeds, selecting crops, choosing hybrid seeds for higher yields, and other agricultural decisions. Precision farming, also called intelligent systems, helps improve the general value and precision of yields. AI helps to identify infestations, plant diseases, and malnourishment in farms. AI sensors can detect and target weeds before choosing which herbicide to apply in a region.
Many technical firms created robots that accurately monitor weeds with spray guns using image processing techniques and artificial intelligence. These robots can lower the price of herbicides by eliminating large amounts of the chemicals that are often sprayed on crops. By dramatically reducing the number of pesticides required in the fields, these sophisticated AI sprayers can raise the standard of agricultural output.
AI for Agriculture Market Drivers:
- Increased globalization and adoption of new technology is anticipated to propel the market growth
AI for Agriculture Market Geographical Outlook
- North America is witnessing exponential growth during the forecast period
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive IntelligenceReport Coverage:
- Historical data & forecasts from 2022 to 2029
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
- Competitive Positioning, Strategies, and Market Share Analysis
- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
The AI for agriculture market is segmented and analyzed as follows:
- By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
- By Application
- Agricultural Robots
- Precision Farming
- Drone Analytics
- Livestock Monitoring
- Weather Tracking
- Others
- By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- Germany
- France
- United Kingdom
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- Israel
- UAE
- Other
- Asia Pacific
- China
- Japan
- India
- South Korea
- Indonesia
- Vietnam
- Thailand
- Others
- North America
Table of Contents
1. INTRODUCTION
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
5. AI FOR AGRICULTURE MARKET BY TECHNOLOGY
6. AI FOR AGRICULTURE MARKET BY APPLICATION
7. AI FOR AGRICULTURE MARKET BY GEOGRAPHY
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
9. COMPANY PROFILES
Companies Mentioned
Some of the key companies profiled in this AI for Agriculture Market report include:- Gamaya SA
- IBM Corporation
- Trimble Inc.
- Bayer AG
- Prospera Technologies Ltd.
- PrecisionHawk Inc.
- Cainthus Corp.
- AGCO Corporation
- Deere & Company
- Farmers Edge Inc.
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 140 |
Published | September 2024 |
Forecast Period | 2024 - 2029 |
Estimated Market Value ( USD | $ 2.02 Billion |
Forecasted Market Value ( USD | $ 6.06 Billion |
Compound Annual Growth Rate | 24.5% |
Regions Covered | Global |
No. of Companies Mentioned | 11 |