Global Artificial Intelligence in Agriculture Market Size, Trends and Growth opportunity, By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Hardware, Software, AL-as-a-Service, Service), By Application (Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others), By Region and forecast till 2027.
Global Artificial Intelligence in Agriculture Market 
The Global Artificial Intelligence in Agriculture Market was valued at USD 1.5 billion in 2021 and is expected to expand by 4.2 billion at a CAGR of 25.93 % during the forecast period 2022- 2027.
Al involves Precision farming, livestock monitoring, drone analytics, agriculture robots, and labour management and has a wide range of applications in agriculture to collect data on the historic weather pattern, soil reports, new research, rainfall, pest invasion, and images from drones and cameras.it is useful to the farmers in the monitoring of fields, soil quality, plant health, and temperature, automating irrigation, and pesticide process to improve the overall harvest quality, accuracy and efficiency of crop production. Now, Microsoft is working with 175 farmers in India to deliver counselling services regarding sowing, land and fertilizer.
Market Drivers
The increasing agriculture activities increase the demand for Automation techniques to monitor crop activities and amplify overall crop yield acting as the major factor for growing Artificial Intelligence in Agriculture Market.
increasing government encouragement to adopt AI solutions due to the growing population, shrinking arable land and shortage of farm labour to conduct various agricultural activities propelling the growth of the market.
Rising automated irrigation, sensor-based technology and increasing use of Driverless tractors using GPS-based technology, and lift tools boost the growth of the market.
Market Restraints
The High cost of AI-enabled farming Products like sensors, software, and robots hinders the growth of Global Artificial Intelligence in the Agriculture Market. Additionally, AI system requires skilled, trained expertise for accurate predictions even a minor error can result in system failure anticipated by the growth of the market. lack of standardization restrains the market growth
COVID-19 Impact on Global Artificial Intelligence in Agriculture Market
The outbreak of covid-19 positively impacted the market as there is an increase in the implementation of AI through various products of sensors, drones, and SaaS. These innovative technologies have helped farmers save their crops and harvest from complete loss during covid as there is an unavailability of labors to maximize crop yield using machine learning techniques is driving the market during the pandemic.
 Market Segmentation 
The Global Artificial Intelligence in Agriculture Market is segmented based on Technology, Offering, Application and Region. Based on Technology it is segmented into Machine Learning, Computer Vision, and Predictive Analytics. Based on Offering it is segmented into Hardware, Software, Al-as-a-Service, and Service. Based on application it is segmented into Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, and Others. Based on Region it is segmented into North America, Europe, Asia Pacific, Latin America, and MEA. 
Regional Analysis
The Global Artificial Intelligence in Agriculture Market is segmented into five regions North America, Europe, Asia Pacific, Latin America, and MEA. Europe dominates the market due to increasing the AI market in agriculture in this region. European Soil Data Centre software and hardware solutions observing soil conditions like humidity, temperature, and electrical conductivity also witness rising the market. North America also shows a significant rise in Global Artificial Intelligence in Agriculture Market during the forecast period 2022-2027.
Key Players
Various key players are listed in this report such as IBM Corporation, Microsoft Corporation, Bayer AG, Google LLC, John Deere & Company, AAA Taranis Visual Ltd, AgEagle Aerial Systems Ltd, Gamaya SA, AGCO Corporation AG Leader Technology, Trimble Inc, Granular Inc, Raven Industries Inc. 
Market Taxonomy
By Technology 
o Machine Learning 
o Computer Vision
o Predictive Analytics 
By Offering
o Hardware
o Software
o Al-as-a-Service
o Service 
By  Application
o Precision Farming 
o Agriculture Robots
o  Livestock Monitoring
o Drone Analytics
o Labor Management
o Others  
By Region
o North America
o Europe
o Asia Pacific   
o Latin America
o Middle East and Africa
   Key Question Addressed by the Report
• What are the Key Opportunities in Global Artificial Intelligence in Agriculture Market?
• What will be the growth rate from 2022 to 2027?
• Which segment/region will have highest growth?
• What are the factors that will impact/drive the Market?
• What is the role of key players in the value chain?
           

Global Artificial Intelligence in Agriculture  Market 
1 Introduction 
1.1 Objective of the Study
1.2 Market definition
1.3 Market Scope
2 Research Methodology
2.1 Data Mining
2.2 Validation
2.3 Primary Interviews
2.4 List of Data Sources
3 Executive Summary
4 Global Artificial Intelligence in Agriculture  Market Outlook
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 Global Artificial Intelligence in Agriculture  Market, By Technology 
5.1 Y-o-Y Growth Comparison, By Technology 
5.3 Global Artificial Intelligence in Agriculture  Market Share Analysis, By Technology 
5.3 Global Artificial Intelligence in Agriculture  Market Size and Forecast, By Technology 
5.3.1 Machine Learning 
5.3.2 Computer Vision
5.3.3 Predictive Analytics 
6 Global Artificial Intelligence in Agriculture  Market, By Application 
6.1 Y-o-Y Growth Comparison, By Application 
6.2 Global Artificial Intelligence in Agriculture  Market Share Analysis, By Application 
6.3 Global Artificial Intelligence in Agriculture  Market Share Analysis, By Application 
6.3.1 Precision Farming 
6.3.2 Agriculture Robots
6.3.3 Livestock Monitoring
6.3.4 Drone Analytics
6.3.5 Labor Management
6.3.6 Others
7 Global Artificial Intelligence in Agriculture  Market, By Offering
7.1 Y-o-Y Growth Comparison, By Offering
7.2 Global Artificial Intelligence in Agriculture  Market Share Analysis, By Offering
7.3  Global Artificial Intelligence in Agriculture  Market Share Analysis, By Offering
7.3.1 Hardware
7.3.2 Software
7.3.3 Al-as-a-Service
7.3.4 Service 
8 Global Artificial Intelligence in Agriculture  Market, By Region
8.1 Global Artificial Intelligence in Agriculture  Market Share Analysis, By Region
8.2 Global Artificial Intelligence in Agriculture  Market Share Analysis, By Region
9 North America Artificial Intelligence in Agriculture  Analysis and Forecast (2022-2027)
9.1 Introduction
9.2 North America Artificial Intelligence in Agriculture  Market Share Analysis, By Technology  
9.3 North America Artificial Intelligence in Agriculture  Size and Forecast, By Application 
9.4 North America Artificial Intelligence in Agriculture  Market Size and Forecast, By Offering 
9.5 North America Artificial Intelligence in Agriculture  Market Size and Forecast, By Country
9.5.1 U.S
9.5.2 Canada
9.5.3 Mexico
10 Europe Artificial Intelligence in Agriculture  Market Analysis and Forecast (2022-2027)
10.1 Introduction
10.2 Europe Artificial Intelligence in Agriculture  Market Share Analysis, By Technology 
10.3 Europe Artificial Intelligence in Agriculture  Market Size and Forecast, By Application 
10.4 Europe Artificial Intelligence in Agriculture  Market Size and Forecast, By Offering 
10.5 Europe Artificial Intelligence in Agriculture  Market Size and Forecast, By Country
10.5.1 Germany
10.5.2 France
10.5.3 UK
10.5.4 Rest of Europe
11 Asia Pacific Artificial Intelligence in Agriculture  Market Analysis and Forecast (2022-2027)
11.1 Introduction
11.2 Asia-Pacific Artificial Intelligence in Agriculture  Market Size and Forecast, By Technology 
11.3 Asia-Pacific Artificial Intelligence in Agriculture  Market Size and Forecast, By Application 
11.4 Asia-Pacific Artificial Intelligence in Agriculture  Market Size and Forecast, By Offering
11.5 Asia-Pacific Artificial Intelligence in Agriculture  Market Size and Forecast, By Country
11.5.1 China 
11.5.2 Japan
11.5.3 India
11.5.4. Rest of Asia Pacific
12 Latin America Artificial Intelligence in Agriculture  Market Analysis and Forecast (2022-2027)
12.1 Introduction
12.2 Latin America Artificial Intelligence in Agriculture  Market Size and Forecast, By  Technology 
12.3 Latin America Artificial Intelligence in Agriculture  Market Size and Forecast, By Application 
12.4 Latin America Artificial Intelligence in Agriculture  Market Size and Forecast, By Offering
12.5 Latin America Artificial Intelligence in Agriculture  Market Size and Forecast, By Country
12.5.1 Brazil
12.5.2.Rest of Latin America
13 Middle East Artificial Intelligence in Agriculture  Market Analysis and Forecast (2022-2027)
13.1 Introduction
13.2 Middle East Artificial Intelligence in Agriculture  Market Share Analysis, By Technology 
13.3 Middle East Artificial Intelligence in Agriculture  Market Size and Forecast, By Application 
13.4 Middle East Artificial Intelligence in Agriculture  Market Size and Forecast, By Offering
13.5 Middle East Artificial Intelligence in Agriculture  Market Size and Forecast, By Country
13.5.1. Saudi Arabia
13.5.2. UAE
13.5.3. Egypt
13.5.4. Kuwait
13.5.5. South Africa
14 Competitive Analysis
14.1 Competition Dashboard
14.2 Market share Analysis of Top Vendors
14.3 Key Development Strategies
15 Company Profiles
15.1. IBM Corporation
15.1.1 Overview
15.1.2 Offerings
15.1.3 Key Financials
15.1.4 Business Segment & Geographic Overview
15.1.5 Key Market Developments
15.1.6 Key Strategies
15.2. Microsoft Corporation
15.2.1 Overview
15.2.2 Offerings
15.2.3 Key Financials
15.2.4 Business Segment & Geographic Overview
15.2.5 Key Market Developments
15.2.6 Key Strategies
15.3. Bayer AG
15.3.1 Overview
15.3.2 Offerings
15.3.3 Key Financials
15.3.4 Business Segment & Geographic Overview
15.3.5 Key Market Developments
15.3.6 Key Strategies
15.4. Google LLC
15.4.1 Overview
15.4.2 Offerings
15.4.3 Key Financials
15.4.4 Business Segment & Geographic Overview
15.4.5 Key Market Developments
15.4.6 Key Strategies
15.5. John Deere & Company 
15.5.1 Overview
15.5.2 Offerings
15.5.3 Key Financials
15.5.4 Business Segment & Geographic Overview
15.5.5 Key Market Developments
15.5.6 Key Strategies
15.6. AAA Taranis Visual Ltd 
15.6.1 Overview
15.6.2 Offerings
15.6.3 Key Financials
15.6.4 Business Segment & Geographic Overview
15.6.5 Key Market Developments
15.6.6 Key Strategies
15.7. AgEagle Aerial Systems Ltd
15.7.1 Overview
15.7.2 Offerings
15.7.3 Key Financials
15.7.4 Business Segment & Geographic Overview
15.7.5 Key Market Developments
15.7.6 Key Strategies
15.8. Gamaya SA
15.8.1 Overview
15.8.2 Offerings
15.8.3 Key Financials
15.8.4 Business Segment & Geographic Overview
15.8.5 Key Market Developments
15.8.6 Key Strategies
15.9. AGCO Corporation AG Leader Technology 
15.9.1 Overview
15.9.2 Offerings
15.9.3 Key Financials
15.9.4 Business Segment & Geographic Overview
15.9.5 Key Market Developments
15.9.6 Key Strategies
15.10. Trimble Inc
15.10.1 Overview
15.10.2 Offerings
15.10.3 Key Financials
15.10.4 Business Segment & Geographic Overview
15.10.5 Key Market Developments
15.10.6 Key Strategies
15.11. Granular Inc 
15.11.1 Overview
15.11.2 Offerings
15.11.3 Key Financials
15.11.4 Business Segment & Geographic Overview
15.11.5 Key Market Developments
15.11.6 Key Strategies
15.12. Raven Industries Inc
15.12.1 Overview
15.12.2 Offerings
15.12.3 Key Financials
15.12.4 Business Segment & Geographic Overview
15.12.5 Key Market Developments
15.12.6 Key Strategies