AI In Agriculture Market was valued at USD XX Billion in 2022 and is projected to reach USD XX Billion by 2030, growing at a CAGR of XX% from 2024 to 2031.
The AI in Agriculture market was valued at USD 2.5 billion in 2022, and it is projected to grow at a compound annual growth rate (CAGR) of 26.5% from 2023 to 2030. The market is primarily driven by the growing adoption of AI technologies such as machine learning, computer vision, and robotics to enhance agricultural productivity. This surge in growth is due to the increasing demand for automation, precision farming, and the need for sustainable farming solutions. In addition, the rising need for real-time monitoring, data-driven decision-making, and improving crop yields further strengthens the market outlook. The agricultural sector is steadily evolving with advanced AI-based tools that enable better resource management, optimize crop production, and assist in pest and disease control, creating a significant growth opportunity for AI in the agricultural landscape.
As the agricultural industry continues to embrace AI solutions, the future scope of the AI in Agriculture market remains promising. Advancements in AI technology are expected to revolutionize agricultural practices in areas such as crop management, livestock monitoring, and supply chain optimization. With AI’s ability to process vast amounts of data, farmers can benefit from predictive analytics, enhancing crop yield forecasts and reducing resource waste. Furthermore, AI-driven autonomous machinery, like drones and tractors, will increase farming efficiency and reduce labor costs. The increasing focus on sustainability and eco-friendly farming methods will further boost the integration of AI solutions in agriculture, leading to more innovative and efficient practices in the coming years.
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Who are the largest Global manufacturers in the AI In Agriculture Market?
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Segmentation of AI In Agriculture Market-
AI in Agriculture Market, By Technology
• Machine Learning
• Computer Vision
• Predictive Analytics
AI in Agriculture Market, By Offering
• Hardware
• Software
• Service
AI in Agriculture Market, By Application
• Precision Farming
• Yield Monitoring
• Field Mapping
• Crop Scouting
• Weather Tracking and Forecasting
• Irrigation Management
• Livestock Monitoring
• Drone Analytics
• Agriculture Robots
• Others
Which regions are leading the Global AI In Agriculture Market?
- Global (United States, Global and Mexico)
- Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
- Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
- South America (Brazil, Argentina, Columbia, etc.)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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Detailed TOC of Global AI In Agriculture Market Research Report, 2024-2031
1. Introduction of the Global AI In Agriculture Market
- Overview of the Market
- Scope of Report
- Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Research
- Data Mining
- Validation
- Primary Interviews
- List of Data Sources
4. Global AI In Agriculture Market Outlook
- Overview
- Market Dynamics
- Drivers
- Restraints
- Opportunities
- Porters Five Force Model
- Value Chain Analysis
5. Global AI In Agriculture Market, By Type
6. Global AI In Agriculture Market, By Application
7. Global AI In Agriculture Market, By Geography
- Global
- Europe
- Asia Pacific
- Rest of the World
8. Global AI In Agriculture Market Competitive Landscape
- Overview
- Company Market Ranking
- Key Development Strategies
9. Company Profiles
10. Appendix
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