The US Digital Agriculture Market was valued at $5093.6 Million in 2023 and projected to reach to $7929 Million by 2028, representing a compound annual growth rate of 9.3%. The US digital agriculture market is poised for sustained growth through 2028, driven by technological advancements, government support for agricultural innovation, and increasing pressure on farmers to maximize efficiency.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
The US digital agriculture market reached $5,093.6 million in 2023, demonstrating strong market maturity and significant investment in agricultural technology solutions across American farming operations.
American farmers are increasingly adopting precision farming technologies, IoT sensors, and GPS-guided equipment to optimize crop yields, reduce input costs, and improve resource management efficiency.
Data analytics platforms are becoming essential tools for US agricultural operations, enabling farmers to make informed decisions based on real-time field data, weather patterns, and predictive modeling.
US farmers are leveraging digital agriculture solutions to reduce operational costs, minimize waste, and improve profitability amid rising input expenses and market volatility.
| Report Metric | Details |
|---|---|
| Base Year | 2023 |
| Fastest Growing Segment | ADVISORY SERVICES (Offering) |
| Forecast Period | 2023-2028 |
| Growth Rate | CAGR of 10.3% from 2023 to 2028 |
| Largest Segment | FARMING & FEEDING (Operation) |
| Market Size Base Year (Billions) | ~USD 22.05 (2023) |
| Revenue Forecast (Billions) | ~USD 36 (2028) |
| Segments Covered | Offering, Technology, Type, Operation |
4 segment dimensions are covered across the global market.
The US digital agriculture market was valued at $5,093.6 million in 2023 and is expected to grow to $7,929 million by 2028.
The US digital agriculture market is growing at a compound annual growth rate (CAGR) of 9.3% from 2023 to 2028.
The US market is driven by precision farming technologies, IoT sensors, data analytics platforms, artificial intelligence, drone technology, and farm management software solutions.
The primary adopters in the US include large-scale commercial farmers, agribusinesses, crop producers, and agricultural cooperatives seeking to optimize yields and reduce costs.
Growth factors include increasing labor costs, demand for sustainable farming practices, government support initiatives, technological innovation, and the need for data-driven decision-making in the US agricultural sector.
The study involved four major activities in estimating the current size of the digital agriculture market. Exhaustive secondary research was done to collect information on the market, peer, and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.
This research study involved the extensive use of secondary sources—directories and databases such as Bloomberg Businessweek and Factiva—to identify and collect information useful for a technical, market-oriented, and commercial study of the digital agriculture market.
In the secondary research process, various sources such as annual reports, press releases & investor presentations of companies, white papers, food journals, certified publications, articles from recognized authors, gold & silver standard websites, directories, and databases, were referred to identify and collect information. This research study involved the extensive use of secondary sources—directories and databases such as Bloomberg Businessweek and Factiva—to identify and collect information useful for a technical, market-oriented, and commercial study of the digital agriculture market.
Secondary research was mainly used to obtain key information about the industry’s supply chain, the total pool of key players, and market classification and segmentation as per the industry trends to the bottom-most level, regional markets, and key developments from both market- and technology-oriented perspectives.
Extensive primary research was conducted after obtaining information regarding the digital agriculture market scenario through secondary research. Several primary interviews were conducted with market experts from both the demand and supply sides across major countries of North America, Europe, Asia Pacific, South America, and the Rest of the World. Primary data was collected through questionnaires, emails, and telephonic interviews. The primary sources from the supply side included various industry experts, such as Chief X Officers (CXOs), Vice Presidents (VPs), Directors, from business development, marketing, research, and development teams, and related key executives from distributors, and key opinion leaders. Primary interviews were conducted to gather insights such as market statistics, data on revenue collected from the products and services, market breakdowns, market size estimations, market forecasting, and data triangulation. Primary research also helped in understanding the various trends related to additives of digital agriculture, offering, technology, operation, type, and region. Stakeholders from the demand side, such as companies who are using digital agriculture were interviewed to understand the buyer’s perspective on the suppliers, products, and their current usage of digital agriculture and the outlook of their business which will affect the overall market.

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|
COMPANY NAME |
designation |
|
Cisco Systems, Inc. (US) |
Sales Manager |
|
Trimble Inc. (US) |
General Manager |
|
Bayer AG (Germany) |
Manager |
|
Deere & Company (US) |
Head of digital agriculture solutions |
|
Accenture (Ireland) |
Marketing Manager |
|
IBM Corporation (US) |
Sales Executive |
|
AKVA Group (Norway) |
Head - Research & Development |
|
Hexagon AB (Sweden) |
Manager |
|
Epicor Software Corporation (US) |
R&D, QC, and production Expert |
|
AGCO Corporation (US) |
Senior Engineering Manager |
Both the top-down and bottom-up approaches were used to estimate and validate the total size of the digital agriculture market. These approaches were also used extensively to determine the size of various subsegments in the market. The research methodology used to estimate the market size includes the following details:

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After arriving at the overall market size from the estimation process explained above, the total market was split into several segments and subsegments. Data triangulation and market breakdown procedures were employed to estimate the digital agriculture market and arrive at the exact statistics for all segments and subsegments. The data was triangulated by studying numerous factors and trends from the demand and supply sides. The market size was also validated using both the top-down and bottom-up approaches.
According to the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), digital agriculture is ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe, nutritious, and affordable food for all.
Digital agriculture is the use of new and advanced technologies integrated into one system to enable farmers and other stakeholders within the agriculture value chain to improve food production. In contrast, a digital agriculture system gathers data more frequently and accurately, often combined with external sources (such as weather information). The resulting combined data is analyzed and interpreted so farmers can make more informed and appropriate decisions. These decisions can then be quickly implemented with greater accuracy through robotics and advanced machinery, and farmers can get real-time feedback on the impact of their actions.
Moreover, digital agriculture advances agricultural outcomes by driving more precise agriculture, better data collection and analytics, and more effective information dissemination. Digital agriculture includes precision forestry, precision aquaculture, precision livestock, and smart greenhouses.
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With the given market data, MarketsandMarkets offers customizations according to company-specific scientific needs.
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