India AI in Agriculture Market to Reach USD 350.0 Million by 2033, Growing at 19.5% CAGR - IMARC Group

Source: IMARC Group | Category: Technology & Media | Author Name: Gaurav

Report Introduction

According to IMARC Group's latest report titled "India AI in Agriculture Market Size, Share, Trends and Forecast by Offering, Technology, Application, and Region, 2025-2033", this study offers a granular analysis of the industry's digital transformation towards precision farming. The study offers a profound analysis of the industry, encompassing India AI in agriculture market share, size, growth factors, key trends, and regional insights. The report covers critical market dynamics, including the deployment of AI-powered supply chain platforms, the integration of satellite imagery and IoT sensors, and the government's push for Digital India in the agrarian sector.

Market At-A-Glance: Key Statistics (2025-2033):

• Current Market Size (2024): USD 70.0 Million
• Projected Market Size (2033): USD 350.0 Million
• Growth Rate (CAGR): 19.5%
• Dominant Region: North India (Implicit from the agricultural focus of states like Punjab/Haryana, though the report covers all regions)

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India AI in Agriculture Market Overview

The India AI in agriculture market size reached USD 70.0 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 350.0 Million by 2033, exhibiting a robust growth rate (CAGR) of 19.5% during 2025-2033.

The market is witnessing a structural shift, primarily driven by the urgent need to enhance crop yields and reduce resource wastage through precision farming. The integration of Artificial Intelligence (AI), Machine Learning (ML), and drone analytics is allowing farmers to monitor crop health in real-time and predict weather patterns with high accuracy. The market is further propelled by the rise of AI-powered marketplaces that connect farmers directly to buyers, eliminating intermediaries and ensuring fair pricing. Government initiatives, such as the AgriStack digital infrastructure and substantial investments in smart farming projects (INR 6,000 crore announced in 2024), are creating a fertile ground for technological adoption.

Top Emerging Trends in the India AI in Agriculture Market:

• Generative AI for Agronomy: Launch of specialized models like Cropin's Aksara, a generative AI system providing climate-smart advisory for crops like rice and maize.

• Satellite-Based Analytics: Introduction of tools like Google's Agricultural Landscape Understanding (ALU) API, offering farm-level insights on drought and irrigation using high-resolution imagery.

• Drone-as-a-Service: Rising popularity of drone analytics for soil health monitoring and crop spraying, supported by government subsidies.

• Smart Supply Chains: Deployment of AI in cold chain management to reduce post-harvest losses of perishables.

India AI in Agriculture Market Growth Factors (Drivers)

• Government Support: Massive budget allocations for digital agriculture and schemes like MIDH promoting technology-driven farming practices.

• Food Security Needs: Growing population necessitating higher agricultural productivity and efficient resource management.

• Agritech Startup Boom: Increasing number of startups developing affordable, AI-driven solutions tailored for smallholder farmers.

• Climate Resilience: AI tools helping farmers adapt to changing climate patterns through predictive modeling and advisory services.

Explore the Full Report with Charts, Table of Contents, and List of Figures: https://www.imarcgroup.com/india-ai-in-agriculture-market

Market Segmentation

Analysis by Offering:

• Software
• Hardware
• AI-as-a-Service
• Services

Analysis by Technology:

• Machine Learning
• Computer Vision
• Predictive Analytics

Analysis by Application:

• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics
• Labor Management
• Others

Regional Insights:

• North India
• South India
• East India
• West India

India AI in Agriculture Market Recent Developments & News

• July 2024: Google launched its AI-powered Agricultural Landscape Understanding (ALU) service in India to provide data-driven insights on drought and crop types, integrating with India's AgriStack.

• April 2024: Cropin Technology introduced Aksara, the first open-source micro-language model for climate-smart agriculture, designed to assist farmers in the Global South.

• September 2024: The Indian Government announced a INR 6,000 crore investment plan for smart precision farming, aiming to cover over 60,000 farmers.

Why Buy This Report? (High-Value Insights)

• Granular Segmentation: Detailed analysis of Predictive Analytics vs. Computer Vision adoption, helping investors understand technological preferences.

• Regional Hotspots: In-depth breakdown of adoption rates in South India (Tech Hubs) vs. North India (Agricultural Belts), aiding in targeted marketing.

• Future-Ready Trends: Insights into the commercial viability of Agriculture Robots and autonomous machinery in the Indian context.

Key Highlights of the Report

• Market Forecast (2025-2033): Quantitative data on market value and rapid double-digit growth.

• Competitive Landscape: Comprehensive analysis of key market players and their AI product innovations.

• Strategic Analysis: Porter's Five Forces analysis and value chain assessment.

• Technological Trends: Insights into advancements in remote sensing and edge computing for farms.

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