AI in Agriculture Market by Offering (Software, Hardware, AI-as-a-Service, Services), Technology (Machine Learning, Computer Vision, Predictive Analytics), Application (Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Ma

AI in Agriculture Market by Offering (Software, Hardware, AI-as-a-Service, Services), Technology (Machine Learning, Computer Vision, Predictive Analytics), Application (Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, and Others), and Region - 2023-2028

The global AI in agriculture market size reached US$ 1.46 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 5.33 Billion by 2028, exhibiting a growth rate (CAGR) of 23.49% during 2023-2028.

Artificial intelligence (AI) in agriculture is used to detect diseases in plants, pests, and poor nutrition in farms. It assists in providing real-time monitoring of the conditions of water, ambient air and crops, water usage, temperature and harvesting time. It also facilitates farmers in reducing the use of pesticides, herbicides, and fertilizers, increasing farm production, minimizing farm drudgery, and lowering crop production costs. At present, due to the increasing awareness among individuals about food safety, AI is finding application in agriculture across the globe.

AI in Agriculture Market Trends:
At present, the increasing number of farming activities is resulting in the growing adoption of AI in agriculture to enhance crop production. This represents one of the major factors augmenting the growth of the market around the world. Moreover, there is a shift towards the automation of farming activities, such as plowing, harrowing, planting, harvesting, and tilling. Additionally, the integration of AI in agricultural applications, including livestock monitoring, smart greenhouse, and precision farming for ensuring minimal manual intervention and constant monitoring of crops, is contributing to the market growth. In addition, the rising usage of farming robots helps farmers handle equipment and increase the accuracy of farming. They also help improve the quality and efficiency of yield and minimize reliance on manual labor. Apart from this, various financial institutions are providing credit to farmers at low-interest rates for purchasing smart agricultural machinery incorporated with AI, which is offering lucrative growth opportunities to market players operating in the industry. Furthermore, extensive investments by governing authorities of numerous countries for establishing digital farming infrastructure in rural areas are anticipated to strengthen the growth of the market in the coming years.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global AI in agriculture market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on offering, technology and application.

Breakup by Offering:

Software
Hardware
AI-as-a-Service
Services

Breakup by Technology:

Machine Learning
Computer Vision
Predictive Analytics

Breakup by Application:

Precision Farming
Agriculture Robots
Livestock Monitoring
Drone Analytics
Labor Management
Others

Breakup by Region:

North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

Competitive Landscape:
The competitive landscape of the industry has also been examined along with the profiles of the key players being A.A.A Taranis Visual Ltd., Ag Leader Technology, AgEagle Aerial Systems Inc., Bayer AG, Deere & Company, Gamaya, Granular Inc. (DuPont de Nemours, Inc.), International Business Machines Corporation, Raven Industries Inc., Trimble Inc., Oracle Corporation and Wipro Limited. Kindly, note that this only represents a partial list of companies, and the complete list has been provided in the report.

Key Questions Answered in This Report
1. What was the size of the global AI in agriculture market in 2022?
2. What is the expected growth rate of the global AI in agriculture market during 2023-2028?
3. What are the key factors driving the global AI in agriculture market?
4. What has been the impact of COVID-19 on the global AI in agriculture market?
5. What is the breakup of the global AI in agriculture market based on the offering?
6. What is the breakup of the global AI in agriculture market based on the technology?
7. What is the breakup of the global AI in agriculture market based on the application?
8. What are the key regions in the global AI in agriculture market?
9. Who are the key players/companies in the global AI in agriculture market?