May 3, 2023

News Provided By Share This Article AI in Agriculture Market A New Business Strategy report released by HTF MI with title Global AI in Agriculture Market Study Forecast till 2029. HTF MI integrates History, Trends, and Forecasts to identify the highest value opportunities, cope with the most critical business challenges and transform the businesses.” — Criag Francis PUNE, MAHARASHTRA, INDIA, May 3, 2023 / EINPresswire.com / -- According to HTF Market Intelligence, the Global AI in Agriculture Market to witness a CAGR of 22.34% during the forecast period (2023-2029). The Latest Released AI in Agriculture Market Research assesses the future growth potential of the AI in Agriculture market and provides information and useful statistics on market structure and size. This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities. Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the AI in Agriculture market. The AI in Agriculture market size is estimated to increase by USD 1501.61 Million at a CAGR of 22.34% from 2023 to 2029. The report includes historic market data from 2017 to 2022E. Currently, the market value is pegged at USD 966.41 Million. The Major Players Covered in this Report: 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) Get Quick Access to Sample Pages Now @ https://www.htfmarketintelligence.com/sample-report/global-ai-in-agriculture-market Definition: AI in agriculture refers to the use of artificial intelligence (AI) technologies, such as machine learning, computer vision, and robotics, to improve farming practices, increase crop yields, and reduce the environmental impact of agriculture. AI in agriculture can be used for a wide range of applications, including crop monitoring, soil analysis, irrigation management, pest detection, and livestock management. The AI in agriculture market refers to the market for products and services related to AI technologies in agriculture. This includes hardware such as sensors, drones, and robots, as well as software platforms and applications for data analysis and decision-making. The market has been growing rapidly in recent years as the agriculture industry seeks to adopt more efficient and sustainable farming practices. The benefits of AI in agriculture include increased efficiency, reduced costs, and improved yields, as well as reduced environmental impact through more precise use of water and fertilizer, and reduced pesticide use. AI can also help farmers make more informed decisions by providing real-time data on crop health, weather conditions, and other factors that affect crop growth and yield. The market for AI in agriculture is expected to continue to grow as more farmers and agricultural companies adopt these technologies to improve their operations and meet the increasing demand for food production. Market Trends: Introduction of IOT based technology Market Drivers: Increasing Dependency on Machine Learning Based Technology Growing Demand of Agriculture Production Market Opportunities: Get Complete Scope of Work @ https://www.htfmarketintelligence.com/report/global-ai-in-agriculture-market The titled segments and sub-section of the market are illuminated below: In-depth analysis of AI in Agriculture market segments by Types: Product, Hardware, Software, Service, Professional, Managed Detailed analysis of AI in Agriculture market segments by Applications: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other Major Key Players of the Market: 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) 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 market. • -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 market. • -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. The market is segmented 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) Key takeaways from the AI in Agriculture market report: – Detailed consideration of AI in Agriculture market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets. – Comprehensive valuation of all prospects and threats in the – In-depth study of industry strategies for growth of the AI in Agriculture market-leading players. – AI in Agriculture market latest innovations and major procedures. – Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market. – Conclusive study about the growth conspiracy of AI in Agriculture market for forthcoming years. Enquire for customization in Report @ https://www.htfmarketintelligence.com/enquiry-before-buy/global-ai-in-agriculture-market Major highlights from Table of Contents: 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 (2023-2029) • AI in Agriculture Supply (Production), Consumption, Export, Import by Region (2023-2029) • AI in Agriculture Production, Revenue (Value), Price Trend by Type {Product, Hardware, Software, Service, Professional, Managed} • AI in Agriculture Market Analysis by Application {Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Other} • 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. Major questions answered: • 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? • How feasible is AI in Agriculture market for long-term investment? 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. Criag Francis