Global Artificial Intelligence (AI) in Agriculture Market 2025 by Company, Regions, Type and Application, Forecast to 2031

According to our (Global Info Research) latest study, the global Artificial Intelligence (AI) in Agriculture market size was valued at US$ 701 million in 2024 and is forecast to a readjusted size of USD 1963 million by 2031 with a CAGR of 16.0% during review period.

This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.

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.

Artificial Intelligence (AI) in Agriculture is mainly used for three applications: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others. And Precision Farming was the most widely used area which took up about 35% of the global total.

United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture. North America market took up about 45% the global market, while Europe was about 24%.

IBM, Granular, John Deere, The Climate Corporation and Vision Robotics are the key suppliers in the global Artificial Intelligence (AI) in Agriculture market. Top 5 took up about 46% of the global market.

This report is a detailed and comprehensive analysis for global Artificial Intelligence (AI) in Agriculture market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

Key Features:

Global Artificial Intelligence (AI) in Agriculture market size and forecasts, in consumption value ($ Million), 2020-2031

Global Artificial Intelligence (AI) in Agriculture market size and forecasts by region and country, in consumption value ($ Million), 2020-2031

Global Artificial Intelligence (AI) in Agriculture market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031

Global Artificial Intelligence (AI) in Agriculture market shares of main players, in revenue ($ Million), 2020-2025

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Artificial Intelligence (AI) in Agriculture

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Artificial Intelligence (AI) in Agriculture market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Artificial Intelligence (AI) in Agriculture market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Machine Learning
Computer Vision
Predictive Analytics

Market segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others

Market segment by players, this report covers
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Artificial Intelligence (AI) in Agriculture product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Artificial Intelligence (AI) in Agriculture, with revenue, gross margin, and global market share of Artificial Intelligence (AI) in Agriculture from 2020 to 2025.

Chapter 3, the Artificial Intelligence (AI) in Agriculture competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Artificial Intelligence (AI) in Agriculture market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence (AI) in Agriculture.

Chapter 13, to describe Artificial Intelligence (AI) in Agriculture research findings and conclusion.