Information and Communication Technology Agriculture Analytics Market is projected to grow up to 14.5% CAGR during the forecasting ...


Agriculture Analytics Market is projected to grow up to 14.5% CAGR during the forecasting period 2021-2027.

Agriculture analytics is the use of cutting-edge technology in agricultural farming, such as Big Data, IoT, and other analytics tools. Increased government initiatives to adopt new agricultural techniques are the key growth drivers for the agriculture analytics industry. The Global Agriculture Analytics Industry research offers a comprehensive assessment of the market for the forthcoming years. The research is divided into several sections, each of which includes an examination of the trends and causes that are playing a significant role in the industry. In addition to these variables, market dynamics include the forces that influence the market, such as demand, supply, competition, opportunity, and risk. The market's intrinsic aspects are its drivers and restrictions, whilst its extrinsic factors are its opportunities and challenges. The Global Agriculture Analytics Market study forecasts the market's growth in terms of revenue over the forecast period. Because of the region's leading industrial automation industry and adoption of analytics solutions, North America is predicted to account for the biggest market size and dominate the agriculture analytics market from 2020 to 2026. This region's market growth is expected to be boosted by increased investment in automation and innovative technology. The existence of several agricultural analytics solution providers, such as Deere & Company, IBM, Trimble, Monsanto, and Oracle, further supports the area market.

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Key Driving Factors: Unleash the Potential of Urban Agriculture

In recent decades, urban agriculture, whether in the form of people cultivating food in community plots or on rooftop gardens, has become a popular trend around the world. While the ability to give locally grown crops to urban people should not be underestimated, there are other advantages to urban farming that go beyond simply providing food to local communities. There is an environmental benefit in terms of reduced runoff after heavy rainfall and improved air quality. The effort required to establish and maintain these plots also contributes to the social relationships of the community.

Opportunities: Increasing Adoption of Big Data Sensors for the Internet of Things Changing Livestock Care

In a herd of hundreds or thousands of cows, illnesses can spread swiftly. In many cases, diseases spread from a few cows to dozens of others before farmers notice there is a problem. Fortunately, there are a variety of IoT devices available to help prevent these and other problems. Some of them track fertility, which could be very useful on farms where farmers rely largely on successful breeding. Others alert farmers when cows are producing a lot of milk. According to the findings, farmworkers can add a variety of grain that stimulates lactation to an animal's feeding schedule.

This report offers the major market player’s profiles, such as 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).

Based on Application:  Agriculture analytics solutions and services assist livestock producers in making better decisions by acquiring real-time data about animals and improving various livestock management processes such as feeding management, heat stress management, milk harvesting, breed management, behaviour monitoring and management, calf management, genetic management, and cattle sorting. To increase farm productivity, livestock analytics employs many technologies such as RFID, GPS, feeding systems, farm management systems, robotic milking machines, and other software technology solutions.

The Agriculture Analytics Market report has been categorized as below

By Component

  • Solution

  • Services

By Application

  • Farm analytics

  • Livestock analytics

  • Aquaculture analytics

  • Others (Orchid, Forestry, and Horticulture)

 By farm size

  • Large Farms

  • Small and Medium-Sized Farms

By deployment modes

  • Cloud

  • On-premises

By Region

  • North America

  •  Europe

  • Asia Pacific

  • Rest of World

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Published Date : October-2021