Global Artificial Intelligence (AI) in Agriculture Competitive Landscape Professional Research Report 2025

Research Summary

Artificial intelligence (AI) in agriculture refers to the use of advanced computer technologies to perform tasks that would typically require human intelligence or decision-making skills in the agricultural industry. This includes various uses of machine learning, such as computer vision, robotics, and data analytics, to improve farm productivity, crop management, and sustainability. The primary goals of AI in agriculture are to optimize resource utilization, reduce waste, and increase yield and profitability. AI is also increasingly being used in precision agriculture applications, which use sensors and other data sources to target specific areas of the farm based on data-driven insights. AI has the potential to revolutionize the way farmers operate and provide more efficient and sustainable agricultural practices.

According to DIResearch's in-depth investigation and research, the global Artificial Intelligence (AI) in Agriculture market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.

The major global  manufacturers of Artificial Intelligence (AI) in Agriculture include 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 etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.

This report studies the market size, price trends and future development prospects of Artificial Intelligence (AI) in Agriculture. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence (AI) in Agriculture market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Artificial Intelligence (AI) in Agriculture market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence (AI) in Agriculture industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.  

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of Artificial Intelligence (AI) in Agriculture Include:

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

Artificial Intelligence (AI) in Agriculture Product Segment Include:

Machine Learning

Computer Vision

Predictive Analytics

Artificial Intelligence (AI) in Agriculture Product Application Include:

Precision Farming

Livestock Monitoring

Drone Analytics

Agriculture Robots

Others

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global Artificial Intelligence (AI) in Agriculture Industry PESTEL Analysis

Chapter 3: Global Artificial Intelligence (AI) in Agriculture Industry Porter’s Five Forces Analysis

Chapter 4: Global Artificial Intelligence (AI) in Agriculture Major Regional Market Size and Forecast Analysis

Chapter 5: Global Artificial Intelligence (AI) in Agriculture Market Size and Forecast by Type and Application Analysis

Chapter 6: North America Passenger Artificial Intelligence (AI) in Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe Artificial Intelligence (AI) in Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China Artificial Intelligence (AI) in Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) Artificial Intelligence (AI) in Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America Artificial Intelligence (AI) in Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa Artificial Intelligence (AI) in Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global Artificial Intelligence (AI) in Agriculture Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources