Artificial intelligence (AI) is the creation of intelligent machines that work, react and respond like humans. It is used to improve the efficiency of daily work. Evolving technologies, the adoption of robots and drones, unmanned tractors, crop health monitoring and automatic irrigation systems are some of the applications for the rapid growth of the global AIA market.
The Artificial Intelligence in Agriculture market revenue was xx.xx Million USD in 2019, and will reach xx.xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.

Under COVID-19 outbreak globally, this report provides 360 degrees of analysis from supply chain, import and export control to regional government policy and future influence on the industry. Detailed analysis about market status (2015-2020), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2020-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to end users of this industry are analyzed scientifically, the trends of product circulation and sales channel will be presented as well. Considering COVID-19, this report provides comprehensive and in-depth analysis on how the epidemic push this industry transformation and reform.

In COVID-19 outbreak, Chapter 2.2 of this report provides an analysis of the impact of COVID-19 on the global economy and the Artificial Intelligence in Agriculture industry.
Chapter 3.7 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.
In addition, chapters 7-11 consider the impact of COVID-19 on the regional economy.

The Artificial Intelligence in Agriculture market can be split based on product types, major applications, and important countries as follows:

Key players in the global Artificial Intelligence in Agriculture market covered in Chapter 12:
aWhere
CropX
Harvest Croo Robotics
Cainthus
IBM
Intel
Granular
Resson
SAP
Prospera Technologies
Vision Robotics
Precision Hawk
The Climate Corporation
John Deere
Gamaya
Mavrx
Agribotix
Spensa Technologies
Microsoft

In Chapter 4 and 14.1, on the basis of types, the Artificial Intelligence in Agriculture market from 2015 to 2025 is primarily split into:
Computer Vision
Predictive Analytics
Machine Learning

In Chapter 5 and 14.2, on the basis of applications, the Artificial Intelligence in Agriculture market from 2015 to 2025 covers:
Agriculture Robots
Livestock Monitoring
Drone Analytics
Precision Farming
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:
North America (Covered in Chapter 7 and 14)
United States
Canada
Mexico
Europe (Covered in Chapter 8 and 14)
Germany
UK
France
Italy
Spain
Russia
Others
Asia-Pacific (Covered in Chapter 9 and 14)
China
Japan
South Korea
Australia
India
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 10 and 14)
Saudi Arabia
UAE
Egypt
Nigeria
South Africa
Others
South America (Covered in Chapter 11 and 14)
Brazil
Argentina
Columbia
Chile
Others

Years considered for this report:
Historical Years: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2025