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At 25.2% CAGR, AI in Agriculture Market Size & Share to Soar, Expected to Surpass $3,984.5 Million by 2026: Updated Report from Facts & Factors

[225+ Pages Updated Research Report] According to the recent research report; the global AI in Agriculture Market in 2020 was approximately USD 1,002.02 Million. The market is expected to surge at a CAGR of 25.2% and is anticipated to surpass USD 3,984.5 Million by 2026. Top market players in the market are AgEagle Aerial Systems Inc., GAMAYA, Deere & Company, Descartes Labs, Inc., ec2ce, Microsoft, IBM Corporation, Granular, Inc. and others.New York, NY, April 27, 2021 (GLOBE NEWSWIRE) — Facts and Factors have published a new research report titled “AI in Agriculture Market By Component (Hardware, and Software) By Technology (Predictive Analytics, Machine Learning & Deep Learning, and Computer Vision), By Application (Drone Analytics, Livestock Monitoring, Precision Farming, Agriculture Robots, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2021 – 2026”. “According to the research report, the global AI in Agriculture Market was estimated at USD 1,002.02 Million in 2020 and is expected to reach USD 3,984.5 Million by 2026. The global AI in Agriculture Market is expected to grow at a compound annual growth rate (CAGR) of 25.2% from 2019 to 2026”. AI in Agriculture Market: Key Market Insights Overview Farming techniques that use artificial intelligence can help increase growth and quality. As a result, agribusiness companies are embracing artificial intelligence in the form of predictive analytics-based solutions. In the entire food supply chain, AI-based applications and technologies help manage pests, produce healthier crops, track the soil, and enhance agriculture-related tasks. Since it aids in the analysis of farm data, artificial intelligence is increasingly being used in the agriculture industry to increase harvest quality and accuracy. The need for AI in agriculture is being driven by the world’s rapidly rising population. The need for a green revolution powered by artificial intelligence, the Internet of Things (IoT), and data analytics is driven by limited arable land supply and the need for increasing agricultural productivity for food security. Predictive and recommendation analytics, recognizing plant diseases, detecting insect infestations, and soil monitoring are all areas where AI-enabled applications can help in the agriculture industry. Request Your Free Sample Report of AI in Agriculture Market @ https://www.fnfresearch.com/sample/global-ai-in-agriculture-market-by-technology-machine-1122 (The free sample of this report is readily available on request). Our Free Sample Report Includes: 2020 Updated Report Introduction, Overview, and In-depth industry analysisCOVID-19 Pandemic Outbreak Impact Analysis Included225+ Pages Research Report (Inclusion of Updated Research)Provide Chapter-wise guidance on Request2020 Updated Regional Analysis with Graphical Representation of Size, Share & TrendsIncludes Updated List of table & figuresUpdated Report Includes Top Market Players with their Business Strategy, Sales Volume, and Revenue AnalysisFacts and Factors research methodology (Note: The sample of this report is updated with COVID-19 impact analysis before delivery) Key Questions Answered in this Report 1) What were the pre and post-business impacts of COVID-19 on the AI in Agriculture Market? 2) What is the market size, share of AI in Agriculture Market? 3) Who are the top market players in AI in Agriculture Market? 4) What will be the future market of AI in Agriculture Market? 5) How AI is used in agriculture? 6) How much is the AI industry worth? Key Offerings: Market Size & Forecast by Revenue | 2020−2026Market Dynamics – Leading trends, growth drivers, restraints, and investment opportunitiesMarket Segmentation – A detailed analysis by product, by types, end-user, applications, segments, and geographyCompetitive Landscape – Top key vendors and other prominent vendors Inquire more about this report before purchase @ https://www.fnfresearch.com/inquiry/global-ai-in-agriculture-market-by-technology-machine-1122 (You may enquire a report quote OR available discount offers to our sales team before purchase.) AI in Agriculture Market: Industry Major Market Players AgEagle Aerial Systems Inc.GAMAYADeere & CompanyDescartes Labs Inc.ec2ceMicrosoftIBM CorporationGranular Inc.VineViewTule Technologies Inc.The Climate CorporationTaranisProspera TechnologiesPrecisionHawk To know an additional revised 2020 list of market players, request a sample report: https://www.fnfresearch.com/sample/global-ai-in-agriculture-market-by-technology-machine-1122 Market Dynamics Artificial Intelligence in agriculture has a wide range of applications, including agricultural automatons, face recognition, computerized water system systems, and autonomous vehicle tractors. These applications are carried out in conjunction with a variety of AI-based sensors, GPS systems, radars, and other cutting-edge devices. The factors propelling the global of the AI in agriculture market include increased implementation of innovative technological advancements and IMS, increased demand for agricultural production, and government initiatives to adopt modern agricultural techniques. Drone use on farms is becoming more common, which presents an opportunity. The high cost of collecting precise field data is limiting AI’s use in agriculture. One of the problems facing the AI in agriculture sector is a lack of standardization. According to technology, the predictive analytics segment in the AI in agriculture market is expected to grow at the fastest rate during the forecast period. This is due to the agrarian community’s growing demand for advanced analytics solutions, which analyze actual weather conditions, moisture levels of soil, and plant health and provide deep information to improve production and crop quality. Directly Purchase a copy of the report with TOC @ https://www.fnfresearch.com/buynow/su/global-ai-in-agriculture-market-by-technology-machine-1122 COVID-19 Impact Analysis The demand for agricultural products is projected to fall in FY 2020 as a result of COVID-19. This will also mean that technical advances in the industry would be less widely implemented, resulting in slower business growth. This is primarily due to the downturn in economic development, low spending on agricultural products, and the existing global lockout condition, which has resulted in food supply chain disruptions. To Know More About, Pre and Post COVID-19 Business Impact Analysis, Request to Download Free PDF Brochure: https://www.fnfresearch.com/sample/global-ai-in-agriculture-market-by-technology-machine-1122 Smart Sensors Are Becoming More Popular in Agricultural Fields A main trend in the AI in agriculture market is the increased use of smart sensors in agriculture. Farmers can now precisely map their fields and track and apply crop treatment products only to the areas that need it due to sensor-based technology. Farmers are benefiting from the production of various operations explicit sensors, such as soil moisture sensors, airflow sensors, position sensors, and weather sensors, which are assisting them in effectively tracking and maximizing their yield as well as adapting to changing environmental factors. Drones are becoming increasingly popular in the agricultural industry. Drones are being used more and more to track crop health and development. Drones are used to scan soil health, assist with irrigation schedules, estimate yield data, and apply fertilizers, among other things. The demand for drones in agriculture is rising year over year as a result of numerous government initiatives aimed at modernizing agricultural practices through the use of drones. For example, the state government of India partnered with the World Economic Forum in January 2019 to increase agricultural yield in the state by collecting data from agricultural farms using drones. As a result, the AI in agriculture market is being driven by the growing demand for drones in agricultural fields. Request Customized Copy of Report @ https://www.fnfresearch.com/customization/global-ai-in-agriculture-market-by-technology-machine-1122 (We customize your report according to your research need. Ask our sales team for report customization.) In the AI in Agriculture market, North America produced the most revenue During the historical period, North America held the largest the AI in agriculture industry, and it is projected to continue to lead the global market in terms of revenue during the forecast period. This is due in large part to the early implementation of innovations like machine learning and computer vision for agricultural applications such as precision farming, livestock management, cultivation management, and soil management. Furthermore, with the growing adoption of technologies such as IoT in conjunction with computer vision in agriculture, the market is expected to expand positively over the forecast period. Over the forecast period, the Asia Pacific market is projected to grow at the fastest pace. Its rise can be due to the growing use of artificial intelligence in agriculture. In the food industry, emerging economies such as India and China are leveraging artificial intelligence technologies such as remote monitoring tech and predictive analysis. Furthermore, in these economies, the growing demand for smart cities is prompting agribusiness companies to implement AI-based solutions and services. Furthermore, some regional players are partnering with other leading players to provide services to regional consumers. Companies like IBM Corporation and Raven Industries Inc. are constantly partnering with other players in the agriculture industry to improve their offerings. Raven Industries Inc., for example, teamed up with Farmers Edge Inc., a manufacturer of precision digital solutions, to create a new precision agriculture technology in 2020. As a result of the growing use of AI in agriculture to provide advanced analytical perspectives to farmers, the market in the area is expanding. In the coming years, APAC is expected to see the fastest growth in demand for AI-enabled agricultural solutions. The high widespread adoption of AI in the agriculture sector in significant countries like China, India, Japan, and Australia is largely responsible for the development. Browse the full “AI in Agriculture Market By Component (Hardware, and Software) By Technology (Predictive Analytics, Machine Learning & Deep Learning, and Computer Vision), By Application (Drone Analytics, Livestock Monitoring, Precision Farming, Agriculture Robots, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2021 – 2026” report at https://www.fnfresearch.com/global-ai-in-agriculture-market-by-technology-machine-1122. The global AI in Agriculture market is segmented as follows: By Component: HardwareSoftware By Technology: Predictive AnalyticsMachine Learning & Deep LearningComputer Vision By Application Drone AnalyticsLivestock MonitoringPrecision FarmingAgriculture RobotsOthers Related Reports: Smart Agriculture Market: https://www.fnfresearch.com/smart-agriculture-market-by-agriculture-type-precision-farming-213 Agriculture IoT Market: https://www.fnfresearch.com/global-agriculture-iot-market-by-offering-software-services Agricultural Adjuvants Market: https://www.fnfresearch.com/global-agricultural-adjuvants-market-by-function-activator-adjuvants Agriculture Sprayers Market: https://www.fnfresearch.com/global-agriculture-sprayers-market-global-agriculture-sprayers-market Precision Farming Market: https://www.fnfresearch.com/precision-farming-market About Facts & Factors (FnF Research): Facts & Factors is a leading market research organization offering industry expertise and scrupulous consulting services to clients for their business development. The reports and services offered by Facts and Factors are used by prestigious academic institutions, start-ups, and companies globally to measure and understand the changing international and regional business backgrounds. Our client’s/customer’s conviction on our solutions and services has pushed us in delivering always the best. Our advanced research solutions have helped them in appropriate decision-making and guidance for strategies to expand their business. Follow Us LinkedIn: https://www.linkedin.com/company/fnfresearch Follow Us Twitter: https://twitter.com/fnfresearch Contact Us: Facts & Factors USA: +1-347-989-3985 Email: sales@fnfresearch.com Web: https://www.fnfresearch.com Blog: http://fnfnewsblog.com

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