Bridging the farm-tech divide: Lessons from AgTech diffusion in India
India’s agricultural sector is undergoing a significant transformation driven by the convergence of agricultural sciences and emerging technologies. AgTech innovation has surged in recent years and is projected to reach a market size of $34 billion by 2027. However, this progress highlights a persistent farm-tech divide, where the challenge lies not in the availability of technology but in its large-scale adoption by smallholder farmers.
This paper, Bridging the farm-tech divide: Lessons from AgTech diffusion in India, examines why, despite a vibrant ecosystem of over 3,000 AgTech ventures, solutions still reach less than 15% of India’s 146 million farmers. The analysis identifies systemic inefficiencies such as fragmented value chains and infrastructure deficits, indicating a need to shift from capital-intensive models to operating expense-based approaches aligned with farmers’ risk profiles and limited purchasing power.
Adoption is stronger in efficiency-driven markets with better unit economics, but remains constrained in resilience-focused regions characterised by monsoon dependence, land fragmentation, and low-margin production. In response, phygital models—combining digital platforms with on-ground presence—have emerged as effective solutions, leveraging VLEs, agri-retailers, and FPOs to build trust and deliver value.
The paper proposes a multi-stakeholder strategy to scale adoption, repositioning policymakers as market enablers, strengthening farmer-centric models, and anchoring diffusion through digitally empowered local institutions.
Key Takeaways
- Indian agriculture has evolved from food security to productivity and now towards a digital, sustainable, and value-driven ecosystem.
- The sector (~$600 billion) is projected to reach $1.4 trillion by 2035 and $3.1 trillion by 2047.
- AgTech is emerging as a core enabler, with a $34 billion market opportunity and a rapidly expanding startup ecosystem.
- A critical farm-tech divide persists, with <15% farmer reach and ~1% market penetration despite strong innovation and investment.
- Structural challenges—low productivity (including 30–40% yield gaps vs global benchmarks), fragmented markets, climate risks, high input costs, and post-harvest losses—continue to constrain farmer incomes.
- Adoption barriers include affordability constraints, high risk aversion, low digital literacy, infrastructure gaps, and a deep trust deficit.
- A key gap exists between smartphone access and meaningful digital usage for agriculture.
- Phygital models (combining digital platforms with on-ground networks) have emerged as the most effective approach for last-mile delivery, trust-building, and adoption.
- Investment trends indicate sector maturation, shifting from rapid funding growth to a focus on profitability, unit economics, and sustainable models.
- Downstream models attract the majority of capital due to clear monetisation pathways, while upstream innovation remains underfunded despite strong activity.
- Emerging technologies (AI, IoT, drones, genomics, robotics, biologicals) signal a shift from digital efficiency to deep-tech, climate resilience, and sustainability.
- Effective diffusion depends on coordinated channels—government-led scale, private sector innovation, and peer-to-peer digital networks.
- Policy tailwinds (DPI, AgriStack, subsidies, AIFs) coexist with regulatory fragmentation, data gaps, and talent shortages.
- Bridging the divide requires a shift from technology push to market pull, enabled through trust frameworks, phygital networks, strengthened FPOs, and multi-stakeholder collaboration.