Feeding the Future: A Conversation with Dr. Priya Anand on Data-Driven Market Research in Global Agriculture
Introduction
The global agriculture market is navigating a period of unprecedented disruption. Climate volatility, supply chain fragility exposed by the COVID-19 pandemic and the Ukraine conflict, a growing global population projected to reach 9.7 billion by 2050, and a structural shift toward sustainable and regenerative farming practices are collectively reshaping the competitive and investment landscape. To understand how professional market researchers should be adapting their approaches to this complexity, we sat down with Dr. Priya Anand, a fictional but representative composite of senior agricultural market research practitioners with backgrounds spanning the Food and Agriculture Organization of the United Nations (FAO), major agribusiness consultancies, and academic institutions. Dr. Anand has spent over 15 years advising organisations including seed companies, agricultural input manufacturers, development finance institutions, and governments on market strategy in both developed and emerging markets.
On the Current State of the Agricultural Market
Let's start with the big picture. How would you characterise the global agriculture market right now from a research perspective?
It is genuinely one of the most complex research environments I have worked in, and I say that having also worked in pharmaceuticals and financial services. The agriculture market is, at its core, an aggregation of thousands of hyper-local markets — the farming economics in Punjab, India are fundamentally different from those in Iowa or the Mato Grosso in Brazil — and yet it is simultaneously a deeply interconnected global system where a drought in one hemisphere or a policy shift in one major exporting nation ripples through to food prices and farm-gate decisions on the other side of the world within weeks.
From a market sizing perspective, the global agri-food system is vast. The agriculture market alone is valued at around $13.5 trillion when you include upstream inputs (seeds, fertilisers, crop protection, machinery) and downstream processing. The agricultural inputs market — where much of our corporate client research is focused — is projected to grow from $286 billion in 2023 to approximately $385 billion by 2030, at a CAGR of around 4.3%, driven heavily by precision agriculture technologies and biological crop protection products.
What are the two or three research questions that your clients are most urgently asking right now?
The first is around climate adaptation and resilience. We are seeing major seed companies like Corteva Agriscience, Bayer Crop Science, and Syngenta commissioning primary research to understand how farmer decision-making is changing in response to increased weather volatility. The key research question is not just "are farmers worried about climate change" — they demonstrably are — but rather "what specific agronomic and financial tools are farmers willing to adopt, at what price point, and under what risk conditions?" That requires very different research design than a standard attitude and usage study.
The second major area is digital agriculture and precision farming adoption. The global precision agriculture market is expected to reach $16.3 billion by 2028, but adoption rates remain highly heterogeneous. Understanding the barriers — which include connectivity infrastructure, digital literacy, land tenure complexity, and the economics of technology investment at different farm sizes — requires nuanced research that combines quantitative segmentation with deep qualitative immersion.
The third is sustainability claims and traceability. Downstream food companies and retailers are under increasing pressure from regulators (particularly under the EU's Corporate Sustainability Reporting Directive, or CSRD) and consumers to verify the sustainability of their agricultural supply chains. This is creating demand for research methodologies that can credibly assess farmer behaviour and land use practices at scale — which is methodologically really challenging when you are talking about hundreds of thousands of smallholder farmers across multiple countries.
On Research Methodology in Agricultural Markets
Agriculture must present some unique challenges for conventional research methodologies. Can you talk through some of those?
Absolutely. The most fundamental challenge is farmer access and representativeness. In developed markets like the U.S. and Western Europe, agricultural surveys are reasonably well-served by existing farmer panels — organisations like the USDA National Agricultural Statistics Service (NASS) maintain comprehensive census data that provides a sampling frame. But in emerging markets — sub-Saharan Africa, South and Southeast Asia, Latin America — the majority of farmers are smallholders, often without formal addresses, banking relationships, or consistent mobile phone access. Traditional panel-based online surveys simply cannot reach this population.
We have had to develop hybrid methodologies that combine agent-assisted mobile surveys — using agricultural extension workers or rural sales agents as trusted intermediaries to conduct tablet-based interviews — with satellite-derived agricultural data (crop area, yield estimates) and remote sensing indices. Companies like 60 Decibels and Dalberg Data Insights have built genuine expertise in this kind of blended approach for development sector clients, and I think the commercial agribusiness world is increasingly looking at similar models.
How do you handle the seasonality factor in agricultural research design?
It is critical and still surprisingly often overlooked. A farmer's willingness to invest in a new seed variety or crop protection product, their cash availability, their risk tolerance, their recollection of last season's yield outcomes — all of these vary enormously depending on where they are in the crop cycle. Interviewing a maize farmer in Kenya in October, just as they are planting and before they have committed their budget, will give you dramatically different answers than interviewing the same farmer in March, post-harvest, when they have cash and are reflective on the season's performance.
Our standard recommendation to clients is to build wave-based research designs that track the same farmer panel across multiple touchpoints through the agricultural calendar. This is more expensive than a single cross-sectional survey, but the quality and actionability of the longitudinal insight more than justifies the additional investment.
"The worst agricultural research I see is designed by people who have never actually visited a farm. You cannot design a meaningful farmer survey from a desk in London or Chicago. You have to understand the physical and economic reality of farming before you can design questions that will generate honest answers."
On Technology and Innovation in Agricultural Research
How is the use of remote sensing, satellite data, and AI changing how we do agricultural market research?
It is transformative, and we are genuinely still in the early stages of understanding the implications. The availability of high-resolution, high-frequency satellite imagery — through platforms like Planet Labs (which provides daily 3–5 metre resolution imagery of agricultural areas globally), Sentinel-2 (EU's free-to-access multispectral satellite programme), and commercial players like Descartes Labs — means that we can now track crop area, planting dates, growth stages, and stress indicators at a granularity and coverage that was simply impossible five years ago.
For market researchers, this creates exciting possibilities. We can use satellite-derived crop area estimates to validate or challenge survey-based data on farmer planting decisions. We can correlate vegetation indices (like NDVI — Normalised Difference Vegetation Index) with reported yield outcomes to check for social desirability bias in farmer self-reporting. We can identify geographic clusters of high adoption of new crop varieties by looking at planting pattern anomalies, which allows us to design more targeted qualitative follow-up research.
The integration of these data sources with AI-based pattern recognition is further accelerating this. aWhere and The Climate Corporation (now part of Bayer) have built weather and agronomic modelling platforms that market researchers can leverage for contextualising primary research findings.
Advice for Market Researchers Entering the Agricultural Sector
What would be your top advice for a market researcher who is new to agriculture?
Three things. First, go to the field. There is no substitute for spending time on working farms — talking to farmers, walking fields, observing how decisions are actually made. The theoretical understanding of agricultural economics is insufficient without phenomenological grounding.
Second, build fluency in agronomy basics. You do not need to be an agronomist, but you need to understand crop cycles, the role of different input categories, and the economics of farming at different scales. Organisations like the International Food Policy Research Institute (IFPRI) and the CGIAR network publish excellent accessible material for non-specialists.
Third, respect the heterogeneity. The single biggest mistake I see in agricultural research is the assumption that findings from one geography or farm-size category can be extrapolated to the sector as a whole. Agriculture is local. The best researchers build that local sensitivity into every stage of their research design.
Conclusion
Dr. Anand's perspectives illuminate both the extraordinary complexity and the extraordinary importance of rigorous market research in the agricultural sector. As the global food system navigates climate change, demographic pressure, technological disruption, and geopolitical volatility, the quality of the intelligence that guides investment and policy decisions has never mattered more. The researchers who will make the greatest contribution are those who combine technical methodological excellence with genuine humility about the irreducible complexity of feeding the world.