According to our (Global Info Research) latest study, the global Agriculture Data Analytics market size was valued at US$ 7988 million in 2025 and is forecast to a readjusted size of US$ 18830 million by 2032 with a CAGR of 13.2% during review period.
griculture data analytics refers to the use of advanced data analysis tools and techniques to interpret, process, and derive insights from large volumes of data generated in the agricultural sector. It involves the application of data science, machine learning, and statistical analysis to enhance decision-making processes, optimize farming operations, and improve overall productivity in agriculture.
The agriculture data analytics market has seen substantial growth due to the increasing adoption of technology in agriculture. Key aspects of the market include:
Precision Agriculture Adoption:
The rise of precision agriculture, incorporating data analytics, allows farmers to make data-driven decisions for crop management, resource allocation, and yield optimization.
IoT and Sensor Integration:
Integration of IoT devices and sensors in agriculture provides real-time data on soil conditions, weather patterns, and crop health, contributing to better analytics and decision support.Crop Monitoring and Predictive Analytics:
Data analytics enables continuous crop monitoring and predictive analysis, helping farmers anticipate issues such as diseases, pests, and weather-related challenges.
This report is a detailed and comprehensive analysis for global Agriculture Data Analytics 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 Agriculture Data Analytics market size and forecasts, in consumption value ($ Million), 2021-2032
Global Agriculture Data Analytics market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global Agriculture Data Analytics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global Agriculture Data Analytics market shares of main players, in revenue ($ Million), 2021-2026
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 Agriculture Data Analytics
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 Agriculture Data Analytics 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, SAP SE, Trimble, Monsanto Company, Oracle, Accenture, Iteris, Taranis, Agribotix, Granular, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Agriculture Data Analytics market is split by Type and by Application. For the period 2021-2032, 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
Weather Data Analytics
Crop Growth Monitoring Data Analytics
Land Preparation Data Analytics
Others
Market segment by Application
Farm Analytics
Livestock Analytics
Aquaculture Analytics
Market segment by players, this report covers
IBM
SAP SE
Trimble
Monsanto Company
Oracle
Accenture
Iteris
Taranis
Agribotix
Granular
Proagrica
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 Agriculture Data Analytics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Agriculture Data Analytics, with revenue, gross margin, and global market share of Agriculture Data Analytics from 2021 to 2026.
Chapter 3, the Agriculture Data Analytics 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 2021 to 2032.
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 2021 to 2026.and Agriculture Data Analytics market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Agriculture Data Analytics.
Chapter 13, to describe Agriculture Data Analytics research findings and conclusion.
Summary:
Get latest Market Research Reports on Agriculture Data Analytics. Industry analysis & Market Report on Agriculture Data Analytics is a syndicated market report, published as Global Agriculture Data Analytics Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Agriculture Data Analytics market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.