The Machine Learning For Crop Yield Prediction Market Overview 2025 report reveals that the market size has grown significantly over the past few years, with projections indicating further expansion.
What are the Historical Growth Trends in the Machine Learning For Crop Yield Prediction Market?
The market size of Machine Learning For Crop Yield Prediction has seen significant growth recently. The market expanded from $0.79 billion in 2024 and is predicted to reach $1.01 billion in 2025, indicating a compound annual growth rate (CAGR) of 26.9%.
What are the 2025 Market Projections: Forecasted Size & Growth Rate for the Machine Learning For Crop Yield Prediction Industry?
The machine learning for crop yield prediction market is forecasted to reach $2.58 billion in 2029, growing at a compound annual growth rate (CAGR) of 26.6%.
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What are the Key Growth Drivers Fueling the Machine Learning For Crop Yield Prediction Market?
The key drivers in the machine learning for crop yield prediction market are:
• Rising precision and effectiveness of machine learning-based forecasts
• Increasing global population leading to scarcity of resources
• Growth of big data applications in agriculture
• Climate change and environmental stress necessitating predictive technologies in agriculture
Global Market Segmentation: Identifying Major Machine Learning For Crop Yield Prediction Industry Segments
The machine learning for crop yield prediction market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Model: Cloud-Based, On-Premises
3) By Farm Size: Small, Medium, Large
4) By End User: Farmers, Agricultural Cooperatives, Research Institutions, Government Agencies, Other End Users
Subsegments:
1) By Software: Predictive Analytics Software, AI-Powered Crop Monitoring Software, Weather And Climate Data Analytics Software, Remote Sensing And Satellite Imaging Software, Farm Management Software
2) By Services: Consulting And Advisory Services, Implementation And Integration Services, Training And Support Services, Data Analytics And Custom Modeling Services, Cloud-Based Agricultural AI Services
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What are the emerging Trends Shaping the Future of the Machine Learning For Crop Yield Prediction Market?
The key trends in the machine learning for crop yield prediction market are:
• AI technology is emerging as a significant trend in the field of crop yield prediction.
• The application of machine learning technologies for crop yield prediction is shaping the future of the market.
• Integration of Internet of Things (IoT) is increasingly becoming an influential trend.
• Trend of adopting AI-powered autonomous tractors is becoming popular in this sector.
Who Are the Top Competitors & Leading Players in the Machine Learning For Crop Yield Prediction Market?
Major players in the machine learning for crop yield prediction market are:
• Microsoft Corp.
• BASF SE
• International Business Machines Corp.
• Bayer AG
• Ninjacart
• Raven Industries Inc.
• Cropin Technology Solutions Pvt.
• Terramera Inc.
• FarmWise Labs Inc.
• Sentera Inc.
• Taranis
• Ceres Imaging Inc.
• CropX Inc.
• PrecisionHawk
• Aerobotics Ltd.
• Fasal
• IUNU Inc.
• AgriWebb Pty Ltd.
• Keymakr Inc.
• Trace Genomics Inc.
• Bloomfield Robotics
• Agrograph Inc.
• Xyonix Inc.
• AiDOOS Corp.
• FruitSpec
Regional Dominance: Which Area Leads the Global Template Market?
North America was the largest region in the machine learning for crop yield prediction market in 2024
