Press release
AI in Agriculture Market Rapidly Gaining Traction in Key Business Segments: NVIDIA, Google, IBM
AI in Agriculture Market
Key Players in This Report Include:
IBM (United States), John Deere Company (United States), Intel (United States), Google (United States), Microsoft (United States), NVIDIA Corporation (United States), Sentient Technologies (United States), Numenta Inc. (United States), Agribotix (United States), The Climate Corporation (Subsidiary of Monsanto) (United States)
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"According to HTF Market Intelligence, the Global AI in Agriculture market is expected to see a growth rate of 22.34% and may see market size of USD 5.17 Billion by 2030, currently pegged at USD 1.93 Billion."
Definition:
The AI in Agriculture market refers to the use and application of Artificial Intelligence (AI) technologies and solutions in the agriculture sector. AI technologies are deployed to enhance various aspects of agricultural practices, including crop management, livestock monitoring, precision farming, and supply chain optimization. AI in Agriculture aims to improve efficiency, sustainability, and productivity in farming operations. AI is used for monitoring and managing crops by analyzing data from various sources such as drones, satellites, and sensors. It helps in detecting diseases, pests, and nutrient deficiencies, optimizing irrigation, and predicting crop yields. AI is applied to monitor the health and behavior of livestock. It involves using sensors, wearable devices, and computer vision to track animal movements, health indicators, and breeding patterns. AI enables precision farming techniques by providing real-time data on soil conditions, weather, and crop health. Farmers can make data-driven decisions to optimize planting, fertilization, and harvesting.
Market Trends:
• The adoption of precision agriculture techniques continued to grow, with AI enabling farmers to make data-driven decisions for precise planting, irrigation, and fertilization.
• The use of AI-powered remote sensing technologies, including drones and satellites, was increasing for crop monitoring, disease detection, and yield prediction.
• Robotics and AI-driven automation were gaining traction for tasks such as planting, weeding, and harvesting, reducing labor costs and improving efficiency.
Market Drivers:
• The need to feed a growing global population was a significant driver, prompting the adoption of AI to enhance crop yields and agricultural efficiency.
• Increasing emphasis on sustainable farming practices and environmental conservation drove the adoption of AI to reduce resource wastage and environmental impact.
• Advances in AI, machine learning, and IoT technologies provided new tools and solutions for agriculture.
Market Opportunities:
• Agricultural organizations and tech companies saw opportunities in monetizing data collected from farms, offering valuable insights to farmers and stakeholders.
• The global adoption of AI in Agriculture presented opportunities for technology providers to expand their offerings to different regions and emerging markets.
• There were opportunities for AI applications in livestock management, including health monitoring, breeding optimization, and feed management.
Market Challenges:
• Access to high-quality, reliable data and connectivity in rural areas remained a challenge, limiting the effectiveness of AI solutions.
• Some farmers faced challenges in terms of the initial cost of implementing AI technologies and the need for training.
• Concerns related to data privacy, ownership, and regulatory compliance added complexity to AI adoption in agriculture.
Market Restraints:
• Traditional farming practices and a lack of awareness or understanding of AI technology among some farmers posed a restraint to adoption.
• Small-scale farmers with limited resources may face challenges in adopting AI solutions due to financial constraints.
• Concerns about the security of sensitive farm data, including crop yield data and financial information, could hinder the adoption of AI in Agriculture.
Major Highlights of the AI in Agriculture Market report released by HTF MI
Global AI in Agriculture Market Breakdown by Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other) by Type (Product, Hardware, Software, Service, Professional, Managed) by Technology (Machine Learning, Computer Vision, Predictive Analytics) and by Geography (North America, South America, Europe, Asia Pacific, MEA)
Global AI in Agriculture market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.
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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).
Objectives of the Report
• To carefully analyse and forecast the size of the AI in Agriculture market by value and volume.
• To estimate the market shares of major segments of the AI in Agriculture
• To showcase the development of the AI in Agriculture market in different parts of the world.
• To analyse and study micro-markets in terms of their contributions to the AI in Agriculture market, their prospects, and individual growth trends.
• To offer precise and useful details about factors affecting the growth of the AI in Agriculture
• To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Agriculture market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
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Points Covered in Table of Content of Global AI in Agriculture Market:
AI in Agriculture Market Study Coverage:
• It includes major manufacturers, emerging player's growth story, and major business segments of AI in Agriculture market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
• AI in Agriculture Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
• AI in Agriculture Market Production by Region AI in Agriculture Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
• Key Points Covered in AI in Agriculture Market Report:
• AI in Agriculture Overview, Definition and Classification Market drivers and barriers
• AI in Agriculture Market Competition by Manufacturers
• AI in Agriculture Capacity, Production, Revenue (Value) by Region (2024-2030)
• AI in Agriculture Supply (Production), Consumption, Export, Import by Region (2024-2030)
• AI in Agriculture Production, Revenue (Value), Price Trend by Type {Review Management, Identity Monitoring, Search Engine Suppression, Internet Removal}
• AI in Agriculture Market Analysis by Application {SMEs, Large Enterprises}
• AI in Agriculture Manufacturers Profiles/Analysis AI in Agriculture Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
• Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.
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Key questions answered
• How feasible is AI in Agriculture market for long-term investment?
• What are influencing factors driving the demand for AI in Agriculture near future?
• What is the impact analysis of various factors in the Global AI in Agriculture market growth?
• What are the recent trends in the regional market and how successful they are?
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, MINT, BRICS, G7, Western / Eastern Europe, or Southeast Asia. Also, we can serve you with customized research services as HTF MI holds a database repository that includes public organizations and Millions of Privately held companies with expertise across various Industry domains.
Nidhi Bhawsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketintelligence.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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