Agriculture Analytics Market overview

Agriculture analytics is the practice of gathering and analyzing data related to agriculture, with the aim of gaining insights that can help improve agricultural productivity, sustainability, and profitability. This can include a wide range of data types, such as climate data, soil data, water usage data, yield data, and more. By using analytics tools and techniques, agricultural organizations can gain a deeper understanding of their operations, identify areas for improvement, and make data-driven decisions about resource allocation, crop management, and other key factors.

The Agriculture Analytics Market is expected to gain USD 4.12 Billion by 2030 and a CAGR of 3.50%in the forecast period of 2022 to 2030. The enhanced IoT devices which collect data from connected farm equipment like drones and smart tractors will boost the market in the forecast period. Due to the virus's spread, the essential services were also halted; hence, the market was negatively impacted. The lockdown leads to disruption of the supply chain and subsequent economic activities. The owing awareness among the people during the lockdown period will result in more usage of agriculture analytics. The increased investment in automation and improving the advanced technology will drive the market. However, the deficiency of standardizations for managing data and data aggregation in the agriculture sector is a restraining factor for the market. The high capital investment is hindering the market and decreasing its growth rate.

Agriculture Analytics uses technologies like big data, artificial intelligence, cloud computing, and others. It manages and carries out many farming activities such as crops, livestock, crops, and many others. The increasing food need globally is the growth factor for the Agriculture Analytics Market. The technique enhances the fast delivery of goods and also production. It improves the supply chains. Several technologies like GPS and remote sensing are used in agricultural analytics. It helps farmers address various challenges which are involved in monitoring the crops. The analytics provides real-time data about the water content in the soil and temperature by using the sensor in the field. While the farmers harvest crops, the sensor assists them in making better decisions. It could lead to good crop growth. The rising government initiatives to educate the farmers about the newer technologies to improve the yield. It also increases the food demand worldwide.

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Competitive Analysis

The Key Players of the Global Agriculture Analytics Market are Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), AgVue Technologies (US), Fasal (India), AGEYE Technologies (US), HelioPas AI (Baden-Württemberg), OneSoil (Belarus), and Root AI (US)

Market segmentation

Based on the Component, the market is divided into Solutions and Services. By Farm Size, the Agriculture Analytics Market is fragmented into Large Farms and Small and Medium-Sized farms. The Deployment Modes are categorized into Cloud and On-Premises. The segments are Application segment, Farm Analytics, Livestock Analytics, and Aquaculture Analytics. It is segregated into Orchid, Forestry, and Horticulture based on the Others.

Regional analysis

The market is divided into North America, Asia Pacific, Europe, South America and the middle east and Africa. North America is expected to register high growth from 2020 to 2026owing to the leading automation industry and adoption of analytics solutions in the region. The rising investment in automation and advanced technology will propel the market in the forecast period. The presence of numerous agricultural analytics solution providers is another reason for the market growth. The Asia Pacific is anticipated to hold the second position as the region consists of several emerging economies like China; Singapore will register a high growth rate. The growing adoption of analytics technologies in agriculture is the major factor. Other regions of the Agriculture Analytics Market will also have an accelerating effect.

Industry news

Agtech's use of IoT, AI, and data analytics assists farmers in measuring key variables that aid in crop planning and increase food security.

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