Industry Growth Insights (IGI) has added a latest report on the Global Artificial Intelligence (AI) in Agriculture Market that covers the 360° scope of the …

The extended usage of big data, and machine learning technology, along with artificial intelligence and probabilistic logic has paved the way for a …

Prophecy Market Insights has recently published the Artificial Intelligence (AI) in Agriculture informational report which evaluates market size, growth rate, profit margin, raw material availability, impact strength, competition, technology, and environmental and legal factors. The report covers all recent trends, opportunities, drivers, and restraints of the Artificial Intelligence (AI) in Agriculture market coupled with their impact on demand over the forecast period. Additionally, the report provides a comprehensive view of the market by offering exhaustive value chain analysis. It provides in-depth information about value addition at each stage of the value chain. The Artificial Intelligence (AI) in Agriculture market report provides a detailed analysis of market players according to its production footprint, market share, and growth rate.

The report "Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2026", is estimated to be USD 1.0 billion in 2020 and is projected to reach USD 4.0 billion by 2026, at a CAGR of 25.5% between 2020 and 2026. The market growth is driven by the increasing implementation of data generation through sensors and aerial images for crops, increasing crop productivity through deep-learning technology, and government support for the adoption of modern agricultural techniques. Browse 81 market data Tables and 40 Figures spread through 152 Pages and in-depth TOC on "Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2026" The market for drone analytics is expected to grow at the highest rate due to its extensive use for diagnosing and mapping to evaluate crop health and to make real-time decisions. Favorable government mandates for the use of drones in agriculture are also expected to fuel the growth of the drone analytics market. Increasing awareness among farm owners regarding the advantages associated with AI technology is expected to further fuel the growth of the AI in agriculture market.

The Global Artificial Intelligence (AI) in Agriculture 2019 Market Research Report is a professional and in-depth study on the current state of Artificial Intelligence (AI) in Agriculture Market. The report provides a basic overview of the industry including definitions and classifications. The Artificial Intelligence (AI) in Agriculture analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Get sample copy of this [email protected] http://bit.ly/35HA8Qb While the regions considered in the scope of the report include North America, Europe, and various others.

AI having applications in various sectors including agriculture has completely transformed the approaches of the agriculture market. AI in Agriculture helps the farmers in examining weather, soil, and field data to improve farming operations and crop productivity. AI in the agriculture market seems to be driven by the Internet of Things (IoT) due to its ability to revolutionize and transform current farming methods to a new level. Although, collecting accurate field data requires high initial investments which may hamper the growth of AI in the agriculture market. Some of the leading companies influencing the market are Ag Leader Technology, Trimble, Agribotix, Granular, SAP, Mavrx, PrecisionHawk, aWhere, IBM and Prospera Technologies.

Key Questions Answered in this Report: • What is the estimated global artificial intelligence in agriculture market size in terms of value during the period 2018-2024? Global Artificial Intelligence (AI) in Agriculture Market Forecast, 2019-2024 The Global Artificial Intelligence (AI) in Agriculture Market Analysis projects the market to grow at a significant CAGR of 28.38% during the forecast period from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Artificial intelligence has emerged to be a strong driving force behind the growth of data-driven farming.Regions and countries where agriculture is the major source of livelihood and sustenance, the artificial intelligence technology has led to greater profitability in the farms of those economies. The reduction in expenditure and resultant positive RoI with AI's integration in farm equipment and operations has even reached above 30% in a few countries.

According to a new market intelligence report by BIS Research titled'Global Artificial Intelligence (AI) in Agriculture Market Analysis and Forecast, 2019-2024', the artificial intelligence in agriculture market is estimated at $578.0 million in 2019 and is projected to reach $2,015.7 million by 2024. The market is expected to grow at a CAGR of 28.38% from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing need to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Browse More than 49 Data Tables and 129 Figures spread through 293 Pages and in-depth TOC on "Global Artificial Intelligence in Agriculture Market" Precision agriculture is a rising phenomenon in the farming industry since the past decade and has been adapted to improve crop yield to meet the global food demand. It involves the application of emerging smart technologies such as artificial intelligence in farming operations to reduce the wastage of resources with precise and variable application of agri-inputs.

Between 2013 and 2016, U.S. farmers and ranchers weathered a 45% dip in net farm income -- the largest since the Great Depression -- while the number of mouths to feed grew sharply by the day. The global population is expected to increase by 2.2 billion by 2050, and the world's farmers will have to grow about 70% more food than is now produced. If you ask Microsoft, the solution lies in technology. The tech giant's FarmBeats program, which launched in preview today on Azure Marketplace ahead of Ignite 2019, is a multi-year effort to bring robust data analytics to the agriculture sector. With a backend built on Azure and compatibility with hardware from a range of top manufacturers, it aims to promote what Ranveer Chandra, FarmBeats project lead and chief scientist at Azure Global, calls "data-driven" farming techniques. The International Food Policy Research Institute claims these can boost farm productivity by as much as 67% while reducing resource usage.

The AI in agriculture market was valued at USD 600 million in 2018 and is expected to reach USD 2.6 billion by 2025. According to research company MarketsandMarkets, the AI in agriculture market was valued at USD 600 million in 2018 and is expected to reach USD 2.6 billion by 2025, at a CAGR of 22.5% during the forecast period. The report states that cognitive computing in particular is all set to become the most disruptive technology in agriculture services as it can understand, learn, and respond to different situations (based on learning) to increase efficiency. According to Apurva Agarwal, Associate Director, Electronics and Semiconductor, MarketsandMarkets "The combination of the Internet of Things (IoT) and artificial intelligence technologies, such as Machine Learning, computer vision, and predictive analytics, allow farmers to analyse real-time data of weather conditions, temperature, soil moisture, plant health, and crop prices in real time." Weather tracking and forecasting are important applications of AI in agriculture as it facilitates gathering up-to-date information of prevailing weather conditions such as temperature, rain, wind speed and direction, and solar radiation.