Global Agriculture Analytics Market Report By offering (Solutions, Services), By Agriculture Type (Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming, Others (Organic And Conventional Farming)), By Farm Size (Large Farms, Small And Medium-Sized Farms), By Technology (Remote Sensing And Satellite Imagery, Geographic Information System, Robotics And Automation, Big Data And Cloud Computing, Visualization And Reporting, Blockchain Technology, Others (Mobile Applications, Internet of Things (IoT) And Machine Learning And Al)), By End Users (Farmers, Agronomists, Agribusinesses, Agricultural Researchers, Government Agencies, Others (Insurance Assessors Drone Services, Consumers And Consumers' Organizations)) And By Regions - Industry Trends, Size, Share, Growth, Estimation And Forecast, 2023-2032

As per this study the Global Agriculture Analytics Market was valued USD 2.1 BN (by revenue) in 2022 and is anticipated to reach USD 6.04 BN by 2030 with a CAGR of 14.1%.

Agriculture analytics refers to the application of information technology in agriculture for gaining maximum profit along with effective production. Basically, it deals with the IoT (Internet Of Things), big data and real-time information to help the farmers for taking better decision for the farm, livestock, and aquaculture. Agriculture analytics provide solutions and services in order to deal with unpredictable climate changes and environmental factors and improve the yield.
 
Market Dynamics
 
The technological advancements and rising adoption of modern farming practices are driving market growth. Increasing government initiatives to deploy modern agricultural techniques is again accelerating market growth. In addition to this, rising pressure to meet the global demand for food is further fuelling market growth. On the other hand, high capital investment and fragmented agriculture industry may hamper the market growth. Whereas, increasing adoption of AI and predictive analytics to improve the yield is likely to create an opportunity over the forecast period.
 
This detailed market study is centered on the data obtained from multiple sources and is analyzed using numerous tools including porter's five forces analysis, market attractiveness analysis and value chain analysis. These tools are employed to gain insights of the potential value of the market facilitating the business strategists with the latest growth opportunities. Additionally, these tools also provide a detailed analysis of each application/product segment in the global market of agriculture analytics.
 
Market Segmentation
 
The broad agriculture analytics market has been sub-grouped into type and application. The report studies these subsets with respect to the geographical segmentation. The strategists can gain a detailed insight and devise appropriate strategies to target specific market. This detail will lead to a focused approach leading to identification of better opportunities.

By Offering

• Solutions
• Services

By Agriculture Type

• Precision Farming
• Livestock Farming
• Aquaculture Farming
• Vertical Farming
• Others (Organic And Conventional farming)

By Farm Size

• Large Farms
• Small And Medium-Sized Farms

By Technology

• Remote Sensing And Satellite Imagery
• Geographic Information System
• Robotics And Automation
• Big Data And Cloud Computing
• Visualization And Reporting
• Blockchain Technology
• Others (Mobile Applications, Internet of Things (IoT) And Machine Learning And Al)

By End Users

• Farmers
• Agronomists
• Agribusinesses
• Agricultural Researchers
• Government Agencies
• Others (Insurance Assessors Drone Services, Consumers And Consumers' Organizations)

Regional Analysis
 
Furthermore, the report comprises of the geographical segmentation which mainly focuses on current and forecast demand for agriculture analytics in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The report further focuses on demand for individual application segments in all the regions.
 
Global Agriculture Analytics Market Share by Region (Representative Graph)



The report also covers detailed competitive landscape including company profiles of key players operating in the global market. The key players in the Agriculture Analytics market include Deere & Company (US), IBM (US), Bayer Ag (Germany), SAP (Germany), Trimble (US), Accenture (Ireland), ABACO (Italy), DeLaval (Sweden), Oracle (US), DTN (US), Farmers Edge (Canada), SAS Institute (US), Iteris (US), PrecisionHawk (US), Conservis (US), Stesalit Systems (India), Agribotix (US), Agrivi (UK). An in-depth view of the competitive outlook includes future capacities, key mergers & acquisitions, financial overview, partnerships, collaborations, new product launches, new product developments and other developments with information in terms of H.Q.