Unlocking India’s $1 Trillion Agri Economy: Can Digital Advisory Bridge the Last-Mile Gap?
The Indian agricultural sector, contributing nearly 18% of GDP and employing about 46% of the population, has been poised for significant growth, with projections estimating its potential to reach $3.1 trillion by 2047 as part of the Viksit Bharat vision. However, this ambition is hindered by structural constraints, particularly the vulnerability of nearly 89% of farmers, who are small and marginal landholders facing challenges such as climate variability, rising input costs, and volatile markets. Despite the establishment of over 6,000 agricultural startups, including 2,800 agri-tech ventures, the sector struggles with trust issues related to the effectiveness of technology in providing timely information and actionable insights to farmers.
For the average citizen and market participants, the advancements in agricultural technology (agtech) indicate a transformative potential that could improve productivity and livelihoods. Initiatives like the AI-driven pilot projects in Telangana have demonstrated promising outcomes, such as improved yields and cost efficiency for farmers. As digital advisory services proliferate, the likelihood of increased farmer incomes rises, creating ripple effects across local economies. However, a notable concern remains regarding the gender divide in technology access; with only one-third of women farmers owning smartphones, their exclusion from decision-making processes continues to limit overall sector productivity.
Looking forward, the government’s commitment to agriculture, with a budget allocation of approximately ₹1.63 crore for the sector, signifies a proactive approach. However, merely enhancing production metrics will not suffice to achieve a robust agri-economy or fulfill the $5 trillion target. The focus must shift towards technological inclusion and bridging gender gaps through user-centric design and community-based approaches. To maximize impact, it is essential that digital platforms operate on interoperable data frameworks, allowing for seamless information exchange and scalability, ultimately ensuring that the benefits of agtech reach the last mile, including underserved communities.

