Global Digital Agriculture Market Size is valued at USD 21.9 Bn in 2024 and is predicted to reach USD 64.5 Bn by the year 2034 at a 11.6% CAGR during the forecast period for 2025-2034.
Digital agriculture refers to plans created to enhance and control the management of agricultural operations and production tasks. Automation of record keeping, data storage, monitoring, and production processes are only a few of the many uses for this software on farms. Utilizing data-driven insights, digital farming software optimizes agricultural output and revenue, among other indicators. Individuals involved in farming and the agricultural value chain can all enhance food production through digital agriculture, which consists of utilizing new and advanced technology integrated into a unified system. As a result of the digital platform's assistance, farmers and ranchers can better link up with resources, including capital, marketing, sales, and machinery.
The agricultural sector could be entirely transformed by forming a global digital agriculture market. By using digital technology in agriculture, suppliers can increase their chances of reaching a worldwide audience, and countries can better accommodate the increasing need for food. Furthermore, the growing interest in digital agriculture and its potential to improve crop yield optimization aided in the growth of the farming industry.
However, the market growth is hampered by the high-cost criteria for the safety and health of the digital agriculture market and the product's inability to prevent fog in environments with dramatic temperature fluctuations or high digital agriculture. Due to the high maintenance costs of modern vehicles, small farmers need to use smart digital farming solutions widely. The ongoing costs of these cars' sensors, software, hardware, and cameras threaten their market growth.
For small-scale farmers, the high cost of devices and software systems is a major obstacle to adoption in the digital agriculture market. There was a significant impact on the agricultural sector from the COVID-19 epidemic because of the travel restrictions, nationwide lockdowns, and suspension of import and export activity caused by the limited mobility of migrants and rural laborers. The global agricultural sector was hit hard by the severe scarcity of workers caused by this circumstance. The outbreak also caused a drop in agricultural equipment sales because of the unfavourable economic climate and limited shipments.
The digital agriculture market is categorized based on offering, technology, operation, and type. Offering segment includes advisory services, precision agriculture & farm management, quality management & traceability, digital procurement, Agri e-commerce, and financial services. By technology, the market is segmented into peripheral technology and core technology. The market is segmented by operation into farming & feeding, monitoring & scouting, and marketing & demand generation. The market is segmented by type into hardware, software, and services.
The precision agriculture & farm management digital agriculture market is expected to hold a major global market share in 2022. With precision agriculture and efficient farm management, farmers can decrease the quantity of inputs they utilize, effectively lowering the likelihood of environmental damage. Precision agriculture allows farmers to keep a closer eye on their crops and make better management decisions, which in turn helps keep soil healthy and decreases the likelihood of pests and diseases.
The hardware industry makes up the bulk of acrylic acid ester usage because the subcategories include access points, sensing devices, antennas, and automation and control systems. Farming is greatly enhanced by using hardware components, including sensing devices, drones, and automation and control systems, especially in countries like the US, Germany, the UK, China, and India.
The North American digital agriculture market is expected to deliver the highest market share in revenue shortly. It can be attributed to the government's actively encouraging modern agricultural technologies and constructed infrastructure. In addition, Asia Pacific is projected to expand in the global digital agriculture market because the governments of developing nations have taken various steps to promote the use of contemporary agricultural techniques.
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Report Attribute |
Specifications |
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Market size value in 2024 |
USD 21.9 Bn |
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Revenue forecast in 2034 |
USD 64.5 Bn |
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Growth Rate CAGR |
CAGR of 11.6% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn,and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Offering, Technology, Operation, And Type |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea |
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Competitive Landscape |
Cisco Systems, Inc. (US), IBM Corporation (US), Accenture (Ireland), Trimble Inc. (US), Deere & Company (US), Epicor Software Corporation (US), Hexagon AB (Sweden), Bayer AG (Germany), AGCO Corporation (US), and Vodafone Group PLC (UK). |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Digital Agriculture Market By Offering-
Digital Agriculture Market By Technology-
Digital Agriculture Market By Operation-
Digital Agriculture Market By Type-
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
