Research Methodology – Digital Agriculture Marketplace Market
At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Digital Agriculture Marketplace Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Digital Agriculture Marketplace Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Total number of active digital agriculture service providers
- Total amount of revenue generated in the specific fiscal year
- Number of new entrants in the market
- Market penetration of digital agriculture in different regions
- The price of digital tools and technologies used in agriculture
- Investments in research and development of agri-tech
- Number of farmers and agri-businesses adopting digital agriculture solutions
- Total number of subscriptions or user accounts on digital agriculture platforms.
2 Key Market Indicators
- Growth in the number of digital agriculture service providers
- Increase in revenue of digital agriculture market annually
- Growth rate of market penetration in different regions
- Advancements in agri-tech and its adoption rate
- The change in the price of digital agriculture tools and technologies
- The number of new companies entering the market
- Investments in the field of digital agriculture by government or private entities
3 Growth Trends
- Increasing adoption of digital tools by farmers and agri-businesses
- Growth of data-driven agriculture
- Increasing investment in agri-tech by venture capitalists and government organizations
- The emergence of IoT, AI, and blockchain in agriculture
- Rapid increase in the usage of satellite imagery and drones in precision agriculture
- Increasing awareness about sustainable farming practices leading to the popularity of digital agriculture
- Technological advancements leading to the development of new tools and techniques for digital agriculture
Secondary Research
Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Digital Agriculture Marketplace Market. Key inputs include:
Company-Level Information
- Annual reports, investor presentations, SEC filings
- Company press releases and product launch announcements
- Public executive interviews and earnings calls
- Strategy briefings and M&A updates
Industry and Government Sources
- Country-level industry associations and trade bodies
- Government dossiers, policy frameworks, and official releases
- Whitepapers, working papers, and public R&D initiatives
- Relevant Associations for the Digital Agriculture Marketplace Market
Market Intelligence Sources
- Broker reports and financial analyst coverage
- Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
- Import/export trade data and tariff databases
- Sector-specific journals, magazines, and news portals
Macro & Consumer Insights
- Global macroeconomic indicators and their cascading effect on the industry
- Demand–supply outlook and value chain analysis
- Consumer behaviour, adoption rates, and commercialization trends
Primary Research
To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:
Expert Insights & KOL Engagements
- Key Opinion Leader (KOL) Engagements
- Structured interviews with executives, product managers, and domain experts
- Paid and barter-based interviews across manufacturers, distributors, and end-users
Focused Discussions & Panels
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
- Cross-verification of market sizing and forecasts with industry insiders
- Capturing business perspectives on growth opportunities and restraints
Data Triangulation & Forecasting
The final step of our research involves data triangulation ensuring accuracy through cross-verification of:
- Demand-side analysis (consumption patterns, adoption trends, customer spending)
- Supply-side analysis (production, capacity, distribution, and market availability)
- Macroeconomic & microeconomic impact factors
Forecasting is carried out using proprietary models that combine:
- Time-series analysis
- Regression and correlation studies
- Baseline modeling
- Expert validation at each stage
Outcome
The outcome is a comprehensive and validated market model that captures:
- Market sizing (historical, current, forecast)
- Growth drivers and restraints
- Opportunity mapping and investment hotspots
- Competitive positioning and strategic insights