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.
Secondary Research
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.
Primary Research
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
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designation
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Cisco Systems, Inc. (US)
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Sales Manager
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Trimble Inc. (US)
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General Manager
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Bayer AG (Germany)
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Manager
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Deere & Company (US)
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Head of digital agriculture solutions
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Accenture (Ireland)
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Marketing Manager
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IBM Corporation (US)
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Sales Executive
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AKVA Group (Norway)
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Head - Research & Development
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Hexagon AB (Sweden)
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Manager
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Epicor Software Corporation (US)
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R&D, QC, and production Expert
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AGCO Corporation (US)
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Senior Engineering Manager
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Market Size Estimation
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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The key players in the industry and the overall markets were identified through extensive secondary research.
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All shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.
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All possible parameters that affect the market covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain final quantitative and qualitative data.
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The research included the study of reports, reviews, and newsletters of top market players, along with extensive interviews for opinions from leaders, such as CEOs, directors, and marketing executives.
Global Digital Agriculture Market: Bottom-Up Approach
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Global Digital Agriculture Market: Top-Down Approach
Data Triangulation
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.
Market Definition
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.
Key Stakeholders
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Digital agriculture Raw Material Suppliers and Manufacturers
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Digital agriculture Material Importers and Exporters
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Digital agriculture Material Traders and Distributors
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Government and Research Organizations
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Digital agriculture Manufacturing Companies
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Associations and Industrial Bodies
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Agricultural Institutes and Universities
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Manufacturers and suppliers related to the digital agriculture industry.
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Concerned government authorities, commercial R&D institutions, and other regulatory bodies.
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Regulatory bodies such as
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European GNSS Agency (GSA)
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United States Department of Agriculture (USDA)
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International Society for Precision Agriculture (ISPA)
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Government agencies and NGOs
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Commercial research & development (R&D) institutions and financial institutions
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Food and Agriculture Organization (FAO)
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Society of Precision Agriculture Australia
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National Remote Sensing Center (NRSC)
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Agricultural Research Service (ARS)
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Organization for Economic Co-operation and Development (OECD)
Report Objectives
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To determine and project the size of the digital agriculture market with respect to the type, operation, offering, technology, and region in terms of value and volume over five years, ranging from 2023 to 2028.
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To identify the attractive opportunities in the market by determining the largest and fastest-growing segments across regions.
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To provide detailed information about the key factors influencing market growth (drivers, restraints, opportunities, and challenges).
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To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders.
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To analyze the micro-markets with respect to individual growth trends, prospects, and their contribution to the total market.
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To identify and profile the key players in the digital agriculture market.
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To understand the competitive landscape and identify the major growth strategies adopted by players across the key regions.
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To provide insights on key product innovations and investments in the digital agriculture market.
Available Customizations:
With the given market data, MarketsandMarkets offers customizations according to company-specific scientific needs.
The following customization options are available for the report:
Product Analysis
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Product Matrix, which gives a detailed comparison of the product portfolio of each company.
Geographic Analysis
With the given market data, MarketsandMarkets offers customizations according to company-specific scientific needs.
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Further breakdown of the Rest of Europe’s market for digital agriculture into Denmark, Spain, Finland, and Norway.
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Further breakdown of the Rest of Asia Pacific market for digital agriculture into Thailand, Vietnam, the Philippines, and Bangladesh.
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Further breakdown of the Rest of South America market for digital agriculture into Peru, Bolivia, Paraguay, Chile, Ecuador, Colombia, and Venezuela.
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Further breakdown of the Rest of the World market for digital agriculture into Africa (South Africa, Nigeria, Zimbabwe, Namibia, Angola, and Sudan) and the Middle East (Israel, Egypt, and Turkey).
Company Information
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Detailed analyses and profiling of additional market players (up to five)
Growth opportunities and latent adjacency in Digital Agriculture Market