AI in Agriculture Market Growth, Demand and Challenges of the Key Industry Players 2024-2032

The global AI in agriculture market size reached US$ 1.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 10.1 Billion by 2032, exhibiting a growth rate (CAGR) of 20.51% during 2024-2032.

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1. Global AI in Agriculture Market Research and Forecast Report 2024-2032 Format: PDF+EXCEL © 2023 IMARC All Rights Reserved

2. About IMARC Group IMARC Group is a global management consulting firm that helps the world’s most ambitious changemakers to create a lasting impact. Across the six major continents and 100+ countries, we work alongside our business partners as one team with a common ambition to achieve unparalleled results, gain a competitive edge, and transform industries. IMARC Group excels in understanding its clients’ business priorities and delivering tailored solutions that drive meaningful outcomes. Our client base spans over 3,000 organizations in the private, public, and social sectors, ranging from high-growth startups to Fortune 500 companies. We provide a comprehensive suite of market entry and expansion services. Our offerings include thorough market assessment, feasibility studies, company incorporation assistance, factory setup support, regulatory approvals and licensing navigation, branding, marketing and sales strategies, competitive landscape and benchmarking analyses, pricing and cost research, and procurement research. These services are designed to assist companies in evaluating market opportunities, setting up new entities, navigating regulatory landscapes, boosting brand visibility, analyzing competitors, and optimizing procurement strategies.

3. Report Highlight and Description According to the latest report by IMARC Group, titled  "AI in Agriculture Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032,"  the  global AI in agriculture market size reached US$ 1.8 Billion in 2023. Factors Affecting the Growth of the AI in Agriculture Industry: Enhanced Crop Yield and Monitoring: The increasing demand for enhanced crop yield and more efficient monitoring systems represents one of the crucial factors impelling the market growth. The rising need to maximize agricultural productivity to meet food demands is encouraging the adoption of AI technologies, including machine learning (ML) and predictive analytics, to analyze farm data, enabling farmers to make more informed decisions. These technologies help in predicting the optimal planting seasons, understanding soil health, and managing pests and diseases more effectively. These AI-driven solutions also assist in real-time monitoring of crop growth, ensuring that issues are identified and addressed promptly, thereby significantly improving yield and quality.

4. Report Highlight and Description Integration of Big Data: The integration of big data analytics in agriculture is another major driver. The vast amount of data generated from various sources like satellite imagery, soil sensors, weather stations, and drones provide valuable insights for farmers, and AI algorithms analyze this data to provide actionable insights on crop health, soil conditions, moisture levels, and weather predictions. This helps in optimizing agricultural practices, reducing resource waste, and increasing crop productivity. This incorporation also enables predictive analytics for better planning and risk management, thus making farming more sustainable and efficient in the face of climate change and other environmental challenges. Adoption of Precision Agriculture: The growing adoption of precision agriculture, which involves the use of AI and the internet of things (IoT) technologies to enable more precise and controlled farming practices, is positively influencing the market. This includes the use of sensors, global positioning systems (GPS), and AI-driven decision support systems to optimize field-level management regarding crop farming.

5. Report Highlight and Description This method maximizes yields while minimizing environmental impact by tailoring farming practices based on specific conditions of each part of the field. It enables farmers to apply the right amount of inputs like water, fertilizers, and pesticides at the right time and place, thereby reducing costs and increasing sustainability. The efficiency and cost-effectiveness of precision agriculture are major factors contributing to its increased adoption globally. Request for a PDF sample of this report: https://www.imarcgroup.com/ai-in-agriculture-market/requestsample

6. Report Description Global AI in Agriculture Market Trends : The increasing employment of autonomous robots in farming operations for performing a wide range of tasks, such as harvesting, weeding, and planting, with precision and efficiency is supporting the market growth. The adoption of automation robots is also driven by the need to reduce labor costs and increase operational efficiency. These robots not only work faster than human laborers but also with greater accuracy, reducing waste and improving yield quality. Furthermore, the growing integration of blockchain technology in agricultural operations is enhancing traceability and transparency in the agricultural supply chain. This technology provides a secure and immutable ledger for recording transactions, which is crucial for tracking the journey of agricultural products from farm to table. It ensures the authenticity of organic and sustainably farmed produce, thereby building trust among consumers. View Report TOC, Figures and Tables : https://www.imarcgroup.com/ai-in-agriculture-market

7. Report Segmentation Breakup by Offering: Software Hardware AI-as-a-Service Services Breakup by Technology: Machine Learning Computer Vision Predictive Analytics Breakup by Application: Precision Farming Agriculture Robots

8. Report Segmentation Livestock Monitoring Drone Analytics Labor Management Others Breakup by Region: North America Asia-Pacific Europe Latin America Middle East and Africa

9. Competitive Landscape with Key Players A.A.A Taranis Visual Ltd. Ag Leader Technology AgEagle Aerial Systems Inc. Bayer AG Deere & Company Gamaya Granular Inc. (DuPont de Nemours, Inc.) International Business Machines Corporation Raven Industries Inc. Trimble Inc. Oracle Corporation Wipro Limited

10. Key Questions Answered in the Report

11. Table of Contents 1    Preface 2    Scope and Methodology     2.1    Objectives of the Study     2.2    Stakeholders     2.3    Data Sources         2.3.1    Primary Sources         2.3.2    Secondary Sources     2.4    Market Estimation         2.4.1    Bottom-Up Approach         2.4.2    Top-Down Approach     2.5    Forecasting Methodology 3    Executive Summary 4    Introduction     4.1    Overview     4.2    Key Industry Trends 5    Global AI in Agriculture Market     5.1    Market Overview     5.2    Market Performance     5.3    Impact of COVID-19   5.4    Market Forecast 6     Market Breakup by Offering 6.1 Software 6.1.1 Market Trends 6.1.2 Market Forecast 6.2 Hardware 6.2.1 Market Trends 6.2.2 Market Forecast 6.3 AI-as-a-Service 6.3.1 Market Trends 6.3.2 Market Forecast        

12. Table of Contents 6.4 Services 6.4.1 Market Trends 6.4.2 Market Forecast 7 Market Breakup by Technology 7.1 Machine Learning 7.1.1 Market Trends 7.1.2 Market Forecast 7.2 Computer Vision 7.2.1 Market Trends 7.2.2 Market Forecast 7.3 Predictive Analytics 7.3.1 Market Trends 7.3.2 Market Forecast 8 Market Breakup by Application 8.1 Precision Farming 8.1.1 Market Trends 8.1.2 Market Forecast 8.2 Agriculture Robots 8.2.1 Market Trends 8.2.2 Market Forecast 8.3 Livestock Monitoring 8.3.1 Market Trends 8.3.2 Market Forecast 8.4 Drone Analytics 8.4.1 Market Trends 8.4.2 Market Forecast 8.5 Labor Management 8.5.1 Market Trends 8.5.2 Market Forecast For more information, visit : https://www.imarcgroup.com/ai-in-agriculture-market/toc

13. Partial List of Clients

14. Partial List of Clients

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