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AI in Agriculture Market | Growth, Trends & Forecast 2024-2031 | Top key players - Microsoft, IBM, Granular Inc.
AI in Agriculture Market
AI in Agriculture Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.
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The AI in Agriculture Market focuses on artificial intelligence technologies like machine learning, computer vision, and robotics to optimize farming operations. AI enhances crop monitoring, precision farming, yield prediction, and pest management, improving efficiency and sustainability. Growing demand for smart farming solutions, rising food security concerns, and advancements in automation are driving market expansion and innovation.
List of the Key Players in the AI in Agriculture Market:
Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc., Google LLC, Deere & Company, Cropin Technology Solutions Private Limited, Bayer AG, KissanAI, and Niqo Robotics.
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Industry Development:
In September 2024, Niqo Robotics, a leader in AI-powered agricultural technology, expanded into North America with the launch of the Niqo RoboThinner. This advanced spot-sprayer automates lettuce thinning, providing farmers with a precise and efficient solution to improve crop uniformity and enhance productivity.
In July 2024, Taranis, a global leader in crop intelligence, introduced the Ag Assistant, a cutting-edge AI-powered tool designed for agriculture retailers and producers. This intelligent system integrates data from images, text, and audio to deliver advanced agronomic insights, setting a new standard for AI-driven agricultural solutions.
Growth Forecast Projected:
The Global AI in Agriculture Market is anticipated to rise at a considerable rate during the forecast period, between 2024 and 2031. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global AI in Agriculture Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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Segment Covered in the AI in Agriculture Market: By Deployment: Cloud, On-Premise.
By Technology: Machine Learning, Predictive Analytics, Computer Vision, Others.
By Offering: Software, Hardware, Service.
By Application: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Labor Management, Others.
By Farm Size: Small (Less Than 5 Hectare), Medium (5 -10 Hectare), Large (Above 10 Hectare).
By End-User: Farmers, Agribusinesses, Others.
Regional Analysis for AI in Agriculture Market:
The regional analysis of the AI in Agriculture Market covers key regions including North America, Europe, Asia Pacific Middle East and Africa and South America. The North America with a focus on the U.S., Canada, and Mexico; Europe, highlighting major countries like the U.K., Germany, France, and Italy, along with other nations in the region; Asia-Pacific, covering India, China, Japan, South Korea, and Australia, among others; South America, with emphasis on Colombia, Brazil, and Argentina; and the Middle East & Africa, which includes Saudi Arabia, the U.A.E., South Africa, and other countries. This comprehensive regional breakdown helps identify unique market trends and growth opportunities specific to each area.
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
➡ A descriptive analysis of demand-supply gap, market size estimation, SWOT analysis, PESTEL Analysis and forecast in the global market.
➡ Top-down and bottom-up approach for regional analysis
➡ Porter's five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players.
➡ By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this Market
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People Also Ask:
➠ What is the global sales, production, consumption, import, and export value of the AI in Agriculture market?
➠ Who are the leading manufacturers in the global AI in Agriculture industry? What is their operational status in terms of capacity, production, sales, pricing, costs, gross margin, and revenue?
➠ What opportunities and challenges do vendors in the global AI in Agriculture industry face?
➠ Which applications, end-users, or product types are expected to see growth? What is the market share for each type and application?
➠ What are the key factors and limitations affecting the growth of the AI in Agriculture market?
➠ What are the various sales, marketing, and distribution channels in the global industry?
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