HNY Research projects that the AI in Agriculture market size will grow from USD 522.6 Million in 2017 to USD 1765.98 Million by 2023, at an estimated CAGR of 22.5%. The base year considered for the study is 2017, and the market size is projected from 2018 to 2023. The major factors driving the growth of the AI in agriculture market include the growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. The combination of the Internet of Things and artificial intelligence technologies, such as machine learning, computer vision, and predictive analytics, further allow farmers to analyze real-time data of weather conditions, temperature, soil moisture, plant health, and crop prices in the market. By Market Players: IBM?, Deere & Company?, Microsoft?, Agribotix?, The Climate Corporation (Subsidiary of Monsanto)?, Granular?, Descartes Labs?, Prospera?, Mavrx?, Awhere?, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vision Robotics By Technology Machine Learning?, Computer Vision?, Predictive Analytics, , By Offering Hardware?, Software?, AI-As-A-Service?, Service?, By Application Precision Farming?, Livestock Monitoring?, Drone Analytics?, Agriculture Robots?, Other Applications? By The prime objective of this report is to help the user understand the market in terms of its definition, segmentation, market potential, influential trends, and the challenges that the market is facing. Deep researches and analysis were done during the preparation of the report. The readers will find this report very helpful in understanding the market in depth. The data and the information regarding the market are taken from reliable sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the industry experts. The facts and data are represented in the report using diagrams, graphs, pie charts, and other pictorial representations. This enhances the visual representation and also helps in understanding the facts much better. Points Covered in The Report: The points that are discussed within the report are the major market players that are involved in the market such as manufacturers, raw material suppliers, equipment suppliers, end users, traders, distributors and etc. The complete profile of the companies is mentioned. And the capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments that they are making are also included within the report. The historical data from 2012 to 2017 and forecast data from 2018 to 2023. The growth factors of the market is discussed in detail wherein the different end users of the market are explained in detail. Data and information by manufacturer, by region, by type, by application and etc, and custom research can be added according to specific requirements. The report contains the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included. Key Reasons to Purchase To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape. Assess the production processes, major issues, and solutions to mitigate the development risk. To understand the most affecting driving and restraining forces in the market and its impact in the global market. Learn about the market strategies that are being adopted by leading respective organizations. To understand the future outlook and prospects for the market. Besides the standard structure reports, we also provide custom research according to specific requirements.
Chapter 1 Industry Overview 1.1 Definition 1.2 Brief Introduction by Major Technology 1.2.1 Machine Learning? 1.2.2 Computer Vision? 1.2.3 Predictive Analytics 1.2.4 1.2.5 1.3 Brief Introduction by Major Offering 1.3.1 Hardware? 1.3.2 Software? 1.3.3 AI-As-A-Service? 1.3.4 Service? 1.3.5 1.4 Brief Introduction by Major Regions 1.4.1 United States 1.4.2 Europe 1.4.3 China 1.4.4 Japan 1.4.5 India
