What is the global market size of Agriculture Analytics Market?

Global Agriculture Analytics Market size was valued at USD 0.973 billion in 2021 and is poised to grow from USD 1.1 billion in 2022 to USD 2.9 billion by 2030, growing at a CAGR of 12.7% in the forecast period (2023-2030).

Agriculture Analytics Market Size

Agriculture Analytics Market Insights

Agriculture Analytics Market size was valued at USD 1.36 Billion in 2023 and is poised to grow from USD 1.54 Billion in 2024 to USD 4.14 Billion by 2032, growing at a CAGR of 13.20% during the forecast period (2025-2032).

Big data, artificial intelligence, cloud computing, and the internet of things are just a few of the cutting-edge technologies being used to manage and automate farming processes including managing crops, fields, livestock, and more. The adoption of cutting-edge solutions in the farming industries is being driven by the rising global need for food. Future food demand will more than double as a result of the population’s rapid expansion. Therefore, the agriculture business is anticipated to meet the problems of the future with the implementation of agro analytics technology.

Arable land is becoming less and less accessible. The agricultural land is being severely impacted by factors such as population growth, urbanisation, water scarcity, and climate change. Companies and the government are encouraging the implementation of urban farming and vertical farming to handle the rising food demand. The demand for agriculture analytics solutions is being driven by the use of buildings and waste land to organise vertical columns for crop yields. The system also provides alerts and insights on a variety of topics, including soil condition, field planning, breeding management, and irrigation management. This lessens damage and aids in growing crops of good quality.

US Agriculture Analytics Market is poised to grow at a sustainable CAGR for the next forecast year.

FAQs

Agriculture AnalyticsMarket is highly competitive and somewhat fragmented. To maintain a competitive edge, the major industry participants are continually implementing various growth strategies. Innovations, mergers, and acquisitions, collaborations and partnerships are adopted by these players to thrive in the competitive market. In order to provide industries with the most effective and economical solutions, the major market players are also continually concentrating on R&D. 'IBM ', 'Deere & Company ', 'Bayer AG ', 'SAP ', 'Trimble Inc ', 'Accenture ', 'Abaco Group ', 'Delaval ', 'Oracle ', 'DTN ', 'Farmers Edge ', 'SAS Institute ', 'Iteris ', 'PrecisionHawk ', 'AgEye Technologies ', 'Trace Genomics ', 'CropX ', 'Agrivi ', 'Taranis ', 'FBN '

The high cost of acquiring accurate field data is the main barrier to the adoption of AI in the agriculture sector. Farmers are hesitant to use AI technology for acquiring exact field data since it demands large initial investments, effective farming gear, qualified and knowledgeable farmers or growers, among other things. To gather satellite and other GPS data for variable rate application technologies, farmers or growers must invest heavily in GPS, drones, and GIS. Costly data collecting for geographical data (for effective input selection) and training for data management are just two of the expenses associated with AI-based farming. Drones and driverless tractors that use GPS technology for navigation and mapping purposes are pricey and require significant upfront costs.

The many IoT devices are used to stop various issues related to farms and animals. Some of them keep track of fertility, which may be helpful in areas where farmers significantly rely on breeding success, for that benefit various farmers are used to the analytics part in farming. The use of AI in collection of data is an emerging trend that will influence and shape the market during the forecast period.

North America dominates the market and holds the largest market share of the global agriculture analytics market. The growth of the market is being fueled by the region's considerable concentration of artificial intelligence, cloud computing, data analytics, big data, and other technology suppliers. Due to the early adoption of technologies across all industries, the US is most likely to dominate the market. Europe will also experience significant growth during the prediction period. The use of agriculture analytics in the farming sector is being driven by the rising demand for fresh, high quality food.