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Global $8.37 Billion AI in Agriculture Market to 2030DUBLIN, Dec. 2, 2020 /PRNewswire/ -- The "AI in Agriculture Market Research Report: By Type, Technology, Application - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering. The global AI in agriculture market is predicted to generate a revenue of $8,379.5, increasing from $852.2 million, and is expected to witness a 24.8% CAGR during the forecast period (2020-2030). North America emerged as the largest AI in agriculture market during the forecast period (2014-2019) and is further expected to hold the largest share of the market during the forecast period as well. The early adoption of advanced technologies, including computer vision and machine learning, for different agricultural applications, such as livestock management, precision farming, soil management, and greenhouse management. Furthermore, the growing adoption of IoT is also leading to the growth of the regional market. Hence, the market is being driven by the need for increasing productivity on agricultural fields and rising need for real-time monitoring of livestock. Key Topics Covered: Chapter 1. Research Background 1.1 Research Objectives 1.2 Market Definition 1.3 Research Scope 1.4 Key Stakeholders Chapter 2. Research Methodology 2.1 Secondary Research 2.2 Primary Research 2.3 Market Size Estimation 2.4 Data Triangulation 2.5 Assumptions for the Study Chapter 3. Executive Summary Chapter 4. Introduction 4.1 Definition of Market Segments 4.1.1 By Type 4.1.1.1 Product 4.1.1.1.1 Hardware 4.1.1.1.2 Software 4.1.1.2 Service 4.1.1.2.1 Professional 4.1.1.2.2 Managed 4.1.2 By Technology 4.1.2.1 Machine learning 4.1.2.2 Computer vision 4.1.2.3 Predictive analytics 4.1.3 By Application 4.1.3.1 Agricultural robots 4.1.3.2 Precision farming 4.1.3.3 Drone analytics 4.1.3.4 Livestock monitoring 4.1.3.5 Others 4.2 Value Chain Analysis 4.3 Market Dynamics 4.3.1 Trends 4.3.1.1 Increasing use of robotics in agriculture 4.3.1.2 Increasing use of smart sensors in agriculture 4.3.2 Drivers 4.3.2.1 Growing demand for agricultural production 4.3.2.2 Rising adoption of internet of things (IoT) 4.3.2.3 Increasing demand for monitoring of livestock 4.3.2.4 Increasing demand for drones in agricultural farms 4.3.2.5 Impact analysis of drivers on market forecast 4.3.3 Restraints 4.3.3.1 Lack of awareness and high cost of AI solutions 4.3.3.2 Impact analysis of restraints on market forecast 4.3.4 Opportunities 4.3.4.1 Growth opportunities from developing countries 4.3.4.2 AI powered chatbots 4.4 Impact of COVID-19 on AI in Agriculture Market 4.4.1 Current Scenario 4.4.2 COVID-19 Scenario 4.4.3 Future Scenario 4.5 Porter's Five Forces Analysis Chapter 5. Global Market Size and Forecast 5.1 By Type 5.1.1 Product, by Type 5.1.2 Service, by type 5.2 By Technology 5.3 By Application 5.4 By Region Chapter 6. North America Market Size and Forecast Chapter 7. Europe Market Size and Forecast Chapter 8. APAC Market Size and Forecast Chapter 9. LATAM Market Size and Forecast Chapter 10. MEA Market Size and Forecast Chapter 11. Major Countries 11.1 U.S. AI in Agriculture Market 11.2 U.K. AI in Agriculture Market 11.3 Germany AI in Agriculture Market 11.4 China AI in Agriculture Market 11.5 Japan AI in Agriculture Market Chapter 12. Competitive Landscape 12.1 Analysis of Key Players in the Market 12.2 List of Key Players and Their Offerings 12.3 Competitive Benchmarking of Key Players 12.4 Global Strategic Developments of Key Players Chapter 13. Company Profiles 13.1 Business Overview 13.2 Product and Service Offerings 13.3 Key Financial Summary
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