Artificial Intelligence (AI) in Agriculture Market Size, Status and Forecast 2020-2026

Artificial Intelligence (AI) in Agriculture Market

Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture in the world in the past few years and it will keep leader position in the next few years. United States market took up about 42.96% the global market in 2017, while Europe was about 22.67%.

USA is now the key developers of Artificial Intelligence (AI) in Agriculture; most companies are in USA. Others are in Europe, China and India.

Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 100 countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Artificial Intelligence (AI) in Agriculture market in 2020.

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COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets.

The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.

This report also analyses the impact of Coronavirus COVID-19 on the Artificial Intelligence (AI) in Agriculture industry.

Based on our recent survey, we have several different scenarios about the Artificial Intelligence (AI) in Agriculture YoY growth rate for 2020. The probable scenario is expected to grow by a xx% in 2020 and the revenue will be xx in 2020 from US$ 360.6 million in 2019. The market size of Artificial Intelligence (AI) in Agriculture will reach xx in 2026, with a CAGR of xx% from 2020 to 2026.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence (AI) in Agriculture market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial Intelligence (AI) in Agriculture market in terms of revenue.

Players, stakeholders, and other participants in the global Artificial Intelligence (AI) in Agriculture market will be able to gain the upper hand as they use the report as a powerful resource. For this version of the report, the segmental analysis focuses on revenue and forecast by each application segment in terms of revenue and forecast by each type segment in terms of revenue for the period 2015–2026.

Regional and Country-level Analysis

The report offers an exhaustive geographical analysis of the global Artificial Intelligence (AI) in Agriculture market, covering important regions, viz, North America, Europe, China, Japan, Southeast Asia, India and Central & South America. It also covers key countries (regions), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, UAE, etc.

The report includes country-wise and region-wise market size for the period 2015–2026. It also includes market size and forecast by each application segment in terms of revenue for the period 2015–2026.

Competition Analysis

In the competitive analysis section of the report, leading as well as prominent players of the global Artificial Intelligence (AI) in Agriculture market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015–2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015–2020.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence (AI) in Agriculture market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence (AI) in Agriculture market.

The following players are covered in this report:

IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Taranis
aWhere
Precision Hawk
Granular
Prospera Technologies
DTN
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus

Artificial Intelligence (AI) in Agriculture Breakdown Data by Type

Machine Learning
Computer Vision
Predictive Analytics

Artificial Intelligence (AI) in Agriculture Breakdown Data by Application

Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others

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