Press release
AI in Crop Monitoring Market Is Going to Boom | Major Giants IBM, Taranis, Microsoft Azure FarmBeats
Major companies profiled in AI in Crop Monitoring Market are: IBM, Taranis, Microsoft Azure FarmBeats, PrecisionHawk, Bayer, Trimble, Climate Corporation, Granular, Raven Industries, John Deere, Prospera, PEAT, AgroScout, Ceres Imaging, aWhere, Gamaya, OneSoil, Arable Labs, EOS Data Analytics, Intelinair, Skycision, Sentera.
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HTF Market Intelligence projects that the global AI in Crop Monitoring market will expand at a compound annual growth rate (CAGR) of 21.8% from 2025 to 2033, from USD 1.4 Billion in 2025 to USD 6.8 Billion by 2033.
The following Key Segments Are Covered in Our Report
By Type
Satellite monitoring, Drone imaging, IoT sensor analysis, AI-based crop modeling, Predictive pest control
By Application
Yield estimation, Pest detection, Irrigation management, Fertilizer planning, Crop health analysis
Definition: AI in crop monitoring involves using machine learning, computer vision, and data analytics to evaluate crop health, detect disease, optimize irrigation, and improve agricultural productivity. These systems use drones, satellites, and field sensors to provide real-time, actionable insights to farmers. AI helps in predictive analytics, yield forecasting, and resource optimization. This technology improves sustainability by reducing water and chemical use while maximizing crop yield.
Market Trends:
• Autonomous monitoring, AI-driven agronomy platforms, Edge computing in agri-tech, Blockchain integration, Carbon tracking
Market Drivers:
• Precision agriculture adoption, Food security concerns, AI/ML evolution, Sensor tech growth, Climate change mitigation
Market Challenges:
• Connectivity in rural areas, Farmer tech literacy, Data standardization, Initial setup cost, Regulatory ambiguity
Dominating Region:
North America
Fastest-Growing Region:
Latin America
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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of AI in Crop Monitoring market segments by Types: Satellite monitoring, Drone imaging, IoT sensor analysis, AI-based crop modeling, Predictive pest control
Detailed analysis of AI in Crop Monitoring market segments by Applications: Yield estimation, Pest detection, Irrigation management, Fertilizer planning, Crop health analysis
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
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AI in Crop Monitoring Market Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global AI in Crop Monitoring Market:
Chapter 01 - AI in Crop Monitoring Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global AI in Crop Monitoring Market - Pricing Analysis
Chapter 05 - Global AI in Crop Monitoring Market Background or History
Chapter 06 - Global AI in Crop Monitoring Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide AI in Crop Monitoring Market
Chapter 08 - Global AI in Crop Monitoring Market Structure & worth Analysis
Chapter 09 - Global AI in Crop Monitoring Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - AI in Crop Monitoring Market Research Methodology
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.
Contact Us:
Nidhi Bhavsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketreport.com
About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.
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