Agriculture Analytics Market Outlook-2026
Agriculture analytics is defined as the use of technologies such as big data, IoT, and other analytics tools in the agricultural field. Smart farming is the part of agriculture analytics, which is also the breakthrough application of science and technology across agriculture. It is used for understanding of different farming aspects such as irrigation and ploughing. Various technologies such as IoT, GPS, and remote sensing application controls are used in agriculture analytics. It is useful in helping farmers address various challenges involved in monitoring of crops, which leads to increase in the production of more crops and ultimately leads to more profit to the farmers. Agriculture analytics provide real-time data about the temperature and water content in the soil through sensors placed in the farm. These sensors help in assisting farmers in making improved decisions of when to harvest the crop, what is the rate of crop growth, and soil quality. These factors are expected boost the growth of the agriculture analytics market.
Increasing government initiatives to educate farmers, adoption of agriculture analytics to improve crop yield and to deal with unpredictable climate changes and environmental factors are some of the major factors that drive the agriculture analytics market. In addition, increasing adoption of agriculture analytics due to the rise in demand for food globally and the need to improve productivity from farms, fuels the growth of the market. However, high cost of investment, depletion of natural resources, and deterioration of environment is likely to hamper the agriculture analytics market share. Nonetheless, growing adoption of emerging technologies such as IoT and AI technologies to improve the yield are anticipated to provide major opportunities for the market.
The agriculture analytics market is segmented on the basis of component, deployment mode, farm size, application, and region. In terms of component, it is bifurcated into solution and services. By deployment mode, it is divided into on-premise and cloud. As per farm size, the market is segmented into large farms and small & medium farms. On the basis of application, it is segmented into yield monitoring, field mapping, crop scouting, weather tracking & forecasting, irrigation management, inventory management, and farm labour management. Region-wise, it is analysed across North America, Europe, Asia-Pacific, and LAMEA. Current and future agriculture analytics trends are outlined to determine the overall attractiveness of the agriculture analytics market.
The key players profiled in the agriculture analytics market analysis IBM Corporation, Oracle Corporation, SAP SE, Blue River Technology Inc., Monsanto Company, Trimble Inc., DeLaval Inc., Iteris Inc., AgEagle Aerial Systems Inc., and Raven Industries Inc. These market players have implemented a number of strategies including partnership, expansion, collaboration, joint ventures, and others to heighten their status in the industry.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the global agriculture analytics market along with the current trends and future estimations to elucidate the imminent investment pockets.
- Information about the key drivers, restraints, and opportunities and their impact analysis on the market size is provided.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the agriculture analytics market growth is provided to determine the market potential.
Agriculture Analytics Market Report Highlights
| Aspects | Details |
 By component |
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 By application areas |
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 By farm size |
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 By deployment modes |
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 By Region |
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 Key Market Players | Accenture, IBM, Oracle, Iteris, Monsanto, Taranis, Agribotix, SAP SE, Trimble, Agrivi, Deere & Company |
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