Global Digital Agriculture Market 2021-2026

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    Digital agriculture is the application of new and sophisticated technology integrated into a single system to increase food production for farmers and other stakeholders in the agricultural value chain. A digital agricultural system, on the other hand, collects data more often and precisely, and it is commonly integrated with data from external sources (such as weather information). The combined data is then analysed and evaluated, allowing the farmer to make better informed and suitable decisions.


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    These decisions may then be applied more quickly and accurately thanks to robots and sophisticated technology, and farmers can receive real-time feedback on the impact of their activities. Digital agriculture has the potential to make agriculture more productive, consistent, and efficient in terms of time and resources. This has significant benefits for farmers as well as broader societal benefits throughout the world. It also allows organizations to communicate information beyond conventional industry boundaries in order to create new, disruptive opportunities.


    Digital agriculture has the potential to change the way we produce the world’s food, but the method is still in its early stages, prices are high, and specifics on long-term advantages are scarce. That implies that ensuring its widespread adoption will need collaboration and consensus across the value chain on how to solve these challenges. Consumers both at home and abroad are becoming more informed about the products they buy. They demand high quality and sustainably produced food and fibre and want to know more about where their products come from. Digital technologies can enable improved traceability of agricultural products, providing peace of mind for consumers and increased value for farmers.



    S No Overview of Development Development Detailing Region of Development Possible Future Outcomes
    1 Agriculture ministry signs 5 MoUs to promote digital tech in farm sector Agriculture Ministry signed five MoUs with CISCO, Ninjacart, Jio Platforms, ITC and NCDEX e-Markets to conduct pilot projects for promotion of digital tech and other best practices in farm sector India Better Accessibility and Innovation




    Digital agriculture is defined as the use of novel, advanced, and innovative technologies integrated into a single system or software to enable various stakeholders such as farmers, researchers, and others working within an agriculture system or a value chain to improve crop yield and food production. As there is a need to increase food production and yields, the role of digital agriculture will expand. By 2050, yearly wheat output should be about 3 billion tonnes, while annual meat production should be around 470 million tonnes.


    These methods save time and money by lowering fertilizer and chemical application costs and reducing pollution by using fewer chemicals. They also aid in the monitoring of soil and plant physiochemical conditions by installing sensors to detect factors such as electrical conductivity, nitrates, temperature, evapotranspiration, radiation, and leaf and soil moisture, allowing for the creation of ideal conditions for plant development. These characteristics contribute to a higher production with a smaller work force during a pandemic, guaranteeing a consistent supply of food and ensuring food security.

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    The Asia Pacific area has the world’s largest market for digital agriculture. During the research period, India dominated the area by being the greatest adopter of digital agriculture among all nations. Small and marginal holdings (less than 2 hectares) make for 85 percent of the country’s total operating holdings. As a result, sophisticated farming techniques such as precision farming can assist in utilising agricultural inputs in exact proportions to achieve higher average yields when compared to traditional growing approaches. Farmers in southern regions like Andhra Pradesh, Telangana, and Tamil Nadu are using precision agriculture to increase crop yields.




    The Global Digital Agriculture Market can be segmented into following categories for further analysis.


    By Technology of System Type

    • Guidance Systems
    • Remote Sensing System
    • Variable Rate Technology


    By Application Type

    • Precision based Farming
    • Livestock based Farming
    • Green House Farming


    By Usage Classification Type

    • Farmer Usage
    • Industrial Usage
    • High End Usage


    By Solution Usage Type

    • Hardware Solution
    • Software Solution
    • Services Based Solution


    By Regional Classification

    • Asia Pacific Region – APAC
    • Middle East and Gulf Region
    • Africa Region
    • North America Region
    • Europe Region
    • Latin America and Caribbean Region
    • Sweden



    Agriculture’s future is being ushered in by integrated digital technology that aid in production, monitoring, and planning. Farmers are able to enhance yields while saving resources, identify parts of their fields that require attention more quickly, gather and analyse data, and more as a result of technology developments. Digital technology’ pervasiveness, portability, and mobility are changing agricultural and food production. In particular, the development of mobile technology, remote sensing services, and distributed computing are already boosting smallholders’ access to information, inputs, and markets, therefore increasing output and productivity.


    The latest technology being brought into the digital agriculture operational environment is the smart irrigation system. The VRI (Variable Rate Irrigation) is a type of irrigation technique. VRI systems collect field data such as crop kind, crop growth stage, soil type, land grade, and meteorological information and utilise it to distribute water as efficiently as feasible. This enables farmers to regulate water distribution by zone, pace, and individual spray at each degree of the 360-degree circle, avoiding watering regions that do not require it.


    Ranchers may better manage their pastures, move cattle strategically for rotational grazing, and solve difficulties by utilizing GPS equipped ear tags. While cattle tagging has long been industry standard, electronic tags are more convenient and allow for remote identification and management of animals. Blockchain technology is also assisting in the expediting of food and other goods transactions, reducing buyer risk, and protecting consumers. On the contemporary farm, this capability is also at work. Except that details are being monitored, evaluated, and utilized to increase agricultural productivity. Once the items leave the farm or ranch, their path is monitored to the store, making the consumer more knowledgeable.




    Mentorship, market access, exploratory money, and new methods of working are all available through the global launch of AgroStart, an open innovation platform.  Bringing together BASF’s trusted capabilities with entrepreneurs will allow for the rapid, efficient, and cost-effective co-creation of digital agricultural solutions that will aid farmers throughout the world in addressing the various issues they face. 


    The initial focus of AgroStart’s North American rollout will be on discovering solutions that will allow farmers to manage and extract value from the massive amounts of data they generate on the field.


    BASF is collaborating with SVG|THRIVE, a leading global agrifood investment and innovation platform based in Silicon Valley, to uncover the top emerging start-ups using their network and experience. Collaboration in the pursuit of digital solutions that can better serve customers


    In Brazil and the United States, Bayer established a farmer-centric soil carbon sequestration programme. Bayer has announced the launch of its Global Carbon Initiative in Europe, which brings together farmers and food value chain players to encourage farmers to use digital smart farming practices. 


    Project Carbonview streamlines on-farm data gathering with Bayer’s Climate FieldView application and integrates it with delivery and transportation data acquired from active US users of Bushel’s platform for farmers who opt into the initiative. 


    Farmers may own their data and choose who to share it with using the Climate FieldView platform. This will allow for better purchase selections by assessing the effects of various farming practices. The program’s first pilot users are corn growers in the United States.




    Digital farming has the potential to tackle the challenge of feeding such a large population while still being ecologically benign. Global behemoths are aggressively working, investing, and pursuing merger and acquisition strategies to improve the global food supply chain’s sustainability and efficiency. Farmers’ productivity and production will increase as a consequence of the digital platform’s user-friendly front-end framework, and they will be able to address yield possibilities to prevent global famine and solve limited farmland issues worldwide.


    Taranis is one of the newest developer in the digital agriculture market which is focused on the better and enhanced development. It is a pioneer in precision scouting, combining high-resolution aerial photography, cutting-edge artificial intelligence (AI), and complete diagnostics to help crop advisers and producers make better, more educated crop management decisions.


    With advanced computer vision, data science, and deep-learning algorithms, the AI platform analyses millions of acres around the world to produce easy-to-understand insights for growers to minimise agricultural production loss from variables such as diseases, insects, weeds, and nutrient shortages. The latest advancements in the business provide a new level of efficiency, collecting 0.3mm/pixel resolution photos of fields from drones at a speed of 100 acres in six minutes. The device delivers exact, leaf-level diagnostics twenty times faster than the human option, allowing farmers to safeguard harvests and reduce long-term risk.


    Smart Agrometer is part of the latest innovation in the digital agriculture environment of operation. The Smart Agrometer is a nutrition diagnostics tool that utilises machine learning and light reflectance monitoring. To find the most limiting nutrient in a developing agricultural plant, the solution examines reflected light from the plant’s leaves. We’re developing a technology that will be used directly on the plant to offer the most in-depth information of its nutritional status and practical recommendations to increase overall agricultural efficiency. The Intelligent Agrometer will enable precision agriculture at the farm level by determining limiting nutrients and giving cost-effective and sustainable fertiliser recommendations.




    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2021-2026
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2021-2026
    19 Market Segmentation, Dynamics and Forecast by Application, 2021-2026
    20 Market Segmentation, Dynamics and Forecast by End use, 2021-2026
    21 Product installation rate by OEM, 2021
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2021
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix


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