Agriculture analytics will utilize robots, temperature and moisture sensors, GPS technology, and aerial photographsin the future. As a result of this modern equipment, and mechanized systems, precision agriculture,farms will be more profitable, efficient, secure, and environmentally friendly. Renewable energy, no-till farming, biotechnology, vertical farming,organic farming, irrigation, drones, fleet management, and digital sensors are among the leading green technologies and practices that are assisting the government in making farming more environmentally sustainable.
The rise of the market for efficient analysis and decision-making processes for farm-related issues is being driven by the increased emphasis on boosting agricultural profitability. Several variables affect crop production, including soil quality,seed type,fertilizer application, and weather conditions. Consequently, the use of agriculture analytics has become essential for increasing crop output and yield. Analytics for agriculture reduce the likelihood of inadequate management and the growing need for livestock surveillance. Smart agriculture is an integral component of agricultural analytics, which is regarded as a revolutionary application of science and technology in agriculture.
In addition, the increasing adoption of agriculture analytics by large farms due to its affordability and ability to increase profitability is driving the growth of the market. On large farms, complex business operations generate voluminous data, which is managed with the assistance of agriculture analytics service providers. Thus, the market is expanding and is likely to continue to be a key growth driver for the market.
Important regional market trends include a heightened awareness of crop quality and the rise of novel initiatives aimed at innovating the industry. In 2018, the Precision Agricultural Connectivity Act was enacted to satisfy the connection requirements of the precision agriculture industry in the United States. The governing body assembled a task force to investigate and make policy recommendations regarding the expansion of broadband internet connectivity in agricultural areas.
Moreover, the region has witnessed an increase in government incentives for the use of innovative agricultural technologies, as well as an improvement in infrastructure. In an endeavor to educate producers, the National Institute of Food and Agriculture (NIFA), a division of the United States Department of Agriculture, implements sensor,geospatial, and precision technology initiatives. Additionally, NIFA collaborates with Land-Grand institutions to assist farmers in the development of robust sensors, software, and tools for modeling, monitoring, and evaluating an extensive variety of complex biological materials and processes. All of these factors are anticipated to contribute to the expansion of the market in the region.
The US market dominated the North America Agriculture Analytics Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $852.1 million by 2030. The Canada market is experiencing a CAGR of 14.3% during (2023-2030). Additionally, The Mexico market would exhibit a CAGR of 13.4% during (2023-2030).
Based on Offering, the market is segmented into Solution and Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming and Others. Based on End-user, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers and Government Agencies & Others. Based on Farm Size, the market is segmented into Large Farms and Small & Medium-Sized Farms. Based on Technology, the market is segmented into Remote Sensing & Satellite Imagery, Geographic Information System, Robotics & Automation, Big Data & Cloud Computing, Visualization & Reporting, Blockchain Technology and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAP SE, Oracle Corporation, Accenture PLC, SAS Institute, Inc., Tetra Laval International S.A. (DeLaval), Deere & Company, Bayer AG, Iteris, Inc. and Trimble, Inc.
Scope of the Study
By Offering
- Solution
- Services
By Agriculture Type
- Precision Farming
- Livestock Farming
- Aquaculture Farming
- Vertical Farming
- Others
By End-user
- Farmers
- Agronomists
- Agribusinesses
- Agricultural Researchers
- Government Agencies & Others
By Farm Size
- Large Farms
- Small & Medium-Sized Farms
By Technology
- Remote Sensing & Satellite Imagery
- Geographic Information System
- Robotics & Automation
- Big Data & Cloud Computing
- Visualization & Reporting
- Blockchain Technology
- Others
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- SAP SE
- Oracle Corporation
- Accenture PLC
- SAS Institute, Inc.
- Tetra Laval International S.A. (DeLaval)
- Deere & Company
- Bayer AG
- Iteris, Inc.
- Trimble, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
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Table of Contents
Companies Mentioned
- IBM Corporation
- SAP SE
- Oracle Corporation
- Accenture PLC
- SAS Institute, Inc.
- Tetra Laval International S.A. (DeLaval)
- Deere & Company
- Bayer AG
- Iteris, Inc.
- Trimble, Inc.
Methodology
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