Global Agriculture Analytics Market Size, Share, Opportunities, And Trends By Type (Farm Analytics, Livestock Analytics), By Deployment Type (On-Premise, Cloud), By Farm Size (Small And Medium Farms, Large Farms), And By Geography - Forecasts From 2023 To 2028

Data analysis is a function of analytics, a technology. Analytics is the application of complex methods and equipment that aid in the provision of real-time data. As a result, agriculture analytics gives farmers access to real-time information about soil, moisture, weather, crops, and more. The use of agriculture analytics technology aids farmers in key farming and agricultural decision-making. Advanced technologies like artificial intelligence, data mining, machine learning, and big data analytics are all combined into agriculture analytics. Agriculture supply networks have also benefited from farm analytics. It offers a platform for enhancing the flow of agricultural goods from the field to the market.

The main driver for the expansion of the market for agriculture analytics will likely be the growing trend of digitalization and risk assessment. Other reasons driving the expansion of the agriculture market during the forecast period include an increase in venture investment for the creation of cutting-edge agricultural technology and a growing emphasis on urban farming. Increased industrialization, economic digitalization, globalization, and increased use of big data and internet of things sensors will all contribute to the expansion of the agriculture analytics industry. For instance, a division of PTT Exploration called AI and Robotics Ventures is expanding into the agriculture sector by creating AI and data analytics tools for small-scale farming. For the initiative, the business has planned to work with Thaicom. The expansion of the agricultural analytics segment during the projection period is driven by these increasing expenditures by current providers.

The industry is expected to grow as a result of the increased crop failure incidences brought on by climate change and other environmental variables. A comprehensive analysis of the industry for the anticipated time is provided in the research on the global agriculture analytics market.

Farm-based analytics is anticipated to expand the agriculture sector at a significant rate.

Agriculture experts are integrating data science and artificial intelligence to create on-farm predictive analytics. A growing trend in subscription-based services attempts to lower costs for farmers while also giving them access to real-time crop-condition notifications. Moreover, predictive modeling and job optimization will give total control over their upcoming harvest.

Ag-Analytics and other businesses use insights from precision agricultural data to address concerns about weather effects. The business makes use of technologies like FarmScope, which integrate data from several sources, including satellite, soil, weather, historical crop, and farm equipment data, to produce a study of the current condition of an agricultural area and a projection for future productivity.

Increasing focus on rising profitability from agribusiness due to agriculture analytics will fuel the market.

The rise of the global market for efficient analysis and efficient decision-making processes for farm-related issues is being fueled by the increased focus on enhancing profitability from agriculture. Crop production is influenced by several variables, including seed type, soil quality, fertilizer application, and meteorological conditions. Thus, using agriculture analytics has become essential to boost crop output and increase yield. Also, the increasing need for livestock management puts more strain on farmers, which in turn promotes the use of agriculture analytics throughout the world. Analytics for agriculture aid in reducing the possibility of poor management and the increasing need for tracking livestock. Smart agriculture is a crucial component of agricultural analytics, which is seen as a ground-breaking use of science and technology in farming.

North America is projected to be the prominent market shareholder in the agriculture analytics market globally and is anticipated to continue throughout the forecast period.

The considerable presence of technology providers and growing government activities towards smart farming are the main factors promoting the regional segment's growth in North America. To compete in the regional and international markets, these firms place a focus on forming alliances, merging with other companies, and providing cutting-edge solutions.

As an illustration, IBM Corporation recently announced the global expansion of the Watson Decision Platform for Agriculture, which uses AI technology specifically designed for new crops to feed the nation's expanding population. Predictive technology, data from The Weather Company, an IBM Subsidiary, and IoT data are all combined in the company's global agricultural solution to enable farmers across the world to gain more useful information about planning, plowing, planting, spraying, and harvesting. There has been a considerable change in recent decades from conventional agricultural operations to ones that are structured to be improved via the use of analytics and smart technologies.

Market Key Developments

• In January 2023, Exact Shot, an innovation from John Deere, reduces the quantity of fertilizer needed while planting by injecting starting fertilizer onto seeds right as they are planted. This takes the place of the conventional method, in which fertilizer is continuously applied over the whole row of seeds.
• In August 2022, A formal deal has been inked by Trimble and privately held French technology company Bilberry to be acquired by Trimble. Bilberry specializes in selective spraying solutions for sustainable farming. If certain closing requirements are met and regulatory permission is received, the deal is anticipated to conclude in the fourth quarter of 2022.

Global Agriculture Analytics Market Scope:

Segmentation:

• By Type
  • Farm Analytics
  • Livestock Analytics
• By Deployment Type
  • On-Premise
  • Cloud
• By Farm Size
  • Small and Medium Farms
  • Large Farms
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • UK
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • Taiwan
    • Thailand
    • Indonesia
    • Others