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    India Applied Ai In Agriculture Market

    ID: MRFR/ICT/60451-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    India Applied AI in Agriculture Market Research Report By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Software, AI-as-a-Service), and By Application (Drone Analytics, Precision Farming)-Forecast to 2035

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    India Applied Ai In Agriculture Market Summary

    The India Applied AI in Agriculture market is poised for substantial growth, expanding from 175.7 USD Million in 2024 to 5205 USD Million by 2035.

    Key Market Trends & Highlights

    India Applied AI in Agriculture Key Trends and Highlights

    • The market is projected to grow at a remarkable CAGR of 36.08% from 2025 to 2035.
    • By 2035, the market value is expected to reach 5205 USD Million, indicating a robust expansion.
    • In 2024, the market is valued at 175.7 USD Million, laying a solid foundation for future growth.
    • Growing adoption of AI technologies due to increasing demand for precision agriculture is a major market driver.

    Market Size & Forecast

    2024 Market Size 175.7 (USD Million)
    2035 Market Size 5205 (USD Million)
    CAGR (2025-2035) 36.08%

    Major Players

    AgroStar, Gramophone, CropIn, DeHaat, Intello Labs, Ninjacart, Aibono, Skymet Weather, Fasal

    India Applied Ai In Agriculture Market Trends

    Through programs like the Digital India campaign, which encourages the use of cutting-edge technologies in agriculture, the Indian government has supported these kinds of advances. The improved application of AI algorithms for predictive analytics targeted at disease and pest management is one of the opportunities to be investigated in this sector.

    Agritech businesses and farmers are realizing how AI can offer insights based on soil health and weather trends. Given India's emphasis on sustainable farming methods, integrating AI could result in more effective use of fertilizer and water, which would support the government's objective of sustainable development and raising farmer incomes.

    Public-private collaborations to promote AI use in agriculture are on the rise in India, according to recent trends. While traditional farming methods are rapidly incorporating technology, startups are constantly creating AI-based tools to help farmers make informed decisions.

    A move toward data-driven agriculture operations is also being signaled by growing awareness of precision farming methods. The synergy between technology and agriculture is anticipated to increase as India's digital ecosystem develops, opening the door for improvements in worker training, knowledge exchange, and agricultural productivity as a whole.

    India Applied AI

    Market Segment Insights

    India Applied

    India Applied AI in Agriculture Market Segment Insights

    Applied

    Applied AI in Agriculture Market Technology Insights

    The Technology segment within the India Applied AI in Agriculture Market plays a crucial role in shaping the future of agricultural practices, contributing to improved efficiency and productivity in farming operations. This segment is characterized by the integration of advanced technologies such as Machine Learning, Computer Vision, and Predictive Analytics, each serving distinct yet complementary functions.

    Machine Learning, for instance, empowers agronomists to analyze large datasets related to weather patterns, soil conditions, and crop health, enabling more informed decision-making and timely interventions.

    Computer Vision allows for real-time monitoring of crops through drone imaging and automated systems, significantly enhancing crop management and disease detection processes. This technology is critical in improving yield and reducing wastage, which is increasingly important given India's diverse agro-climatic zones.

    Each of these technologies fosters connectivity and accessibility, allowing farmers to leverage data-driven insights for decision-making that ultimately leads to sustainable agricultural practices. The India Applied AI in Agriculture Market is expected to witness ongoing growth driven by these innovations, as farmers increasingly recognize the importance of technology in overcoming traditional challenges.

    As such, the Technology segment plays a vital role, positioning India to enhance its agricultural framework and elevate the overall economy by empowering its agricultural base through intelligent systems and innovative solutions.

    Through the continuous evolution of these technologies, farmers in India will be better equipped to face various environmental and market challenges, thereby improving resilience and productivity in the long run.

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Applied

    Applied AI in Agriculture Market Offering Insights

    The India Applied AI in Agriculture Market is experiencing notable growth, driven by segment offerings that encompass advanced technologies like Software and AI-as-a-Service. Software solutions in agriculture enhance operational efficiencies, enabling farmers to apply precision agriculture techniques, optimize resource use, and improve crop yield.

    Meanwhile, AI-as-a-Service provides scalable and cost-effective access to AI tools, empowering farmers and agribusinesses, particularly in data analysis and predictive modeling. This model allows users to harness AI capabilities without significant upfront investment, making advanced technology more accessible.

    As the government in India continues to promote digital initiatives in agriculture, these segments are positioned to play a significant role in transforming agricultural practices across the country.

    Applied

    Applied AI in Agriculture Market Application Insights

    The Application segment of the India Applied AI in Agriculture Market is experiencing significant growth, driven by innovations and technological advancements. Among the various applications, Drone Analytics and Precision Farming are notably impactful.

    Drone Analytics utilizes aerial imagery and data analytics to enhance crop monitoring and management, allowing farmers to optimize resource usage and improve yield. This method is gaining traction as it reduces labor costs and increases efficiency, aligning with India’s push towards digitization in agriculture.

    Precision Farming leverages AI technologies to collect and analyze data, enabling farmers to make data-driven decisions. This approach not only enhances productivity but also promotes sustainable farming practices by minimizing waste and environmental impact.

    Get more detailed insights about India Applied Ai In Agriculture Market Research Report-Forecast to 2035

    Key Players and Competitive Insights

    The competitive landscape of the India Applied AI in Agriculture Market has been significantly evolving due to the increasing integration of technology in agricultural practices. Various players are leveraging artificial intelligence to enhance productivity, crop yield, and farm management efficiency.

    This sector is characterized by a mix of startups focusing on agritech solutions and established companies incorporating AI into their existing agricultural services. These advancements not only streamline operations but also provide actionable insights through data analytics, enabling farmers to make informed decisions.

    With growing investments in agricultural technology, the market is becoming increasingly competitive as companies strive to differentiate themselves with innovative solutions tailored to meet the specific needs of Indian farmers.

    AgroStar has established a strong presence in the India Applied AI in Agriculture Market, focusing on providing farmers with agricultural solutions via mobile technology. The company’s strengths lie in its user-friendly platform that offers expert advice and inputs based on real-time data analysis.

    AgroStar has successfully leveraged AI to provide personalized recommendations on crop management, soil health, and pest control, enhancing the farming experience for many users. Its extensive distribution network across rural India allows for widespread access to its technology, and the company’s commitment to farmer education through digital platforms further reinforces its position in the market.

    AgroStar’s ability to innovate and adapt to regional agricultural challenges has solidified its reputation as a major player in the sector.

    Gramophone has emerged as a notable contender in the India Applied AI in Agriculture Market, focusing on delivering technological solutions designed to empower farmers with knowledge and resources. The company provides key services such as advice on crop selection, pest management, and soil testing, ensuring that farmers can optimize their yields.

    Gramophone’s strengths are amplified by its extensive market presence, which includes a robust supply chain that facilitates timely access to quality agricultural inputs. Additionally, the company actively engages in mergers and acquisitions to enhance its technology and expand its service offerings.

    This strategic growth has allowed Gramophone to incorporate cutting-edge AI capabilities into its platform, driving efficiency and supporting farmers in making data-driven decisions. Through its innovation-driven approach, Gramophone is positioning itself as a strong competitor in the evolving landscape of agricultural technology in India.

    Key Companies in the India Applied Ai In Agriculture Market market include

    Industry Developments

    In collaboration with Syngenta and the Indian government, CropIn started implementing satellite-based AI analytics for smallholder farms in Andhra Pradesh and Karnataka in May 2024. By providing over 30,000 farm plots with crop-yield forecasts, disease notifications, and irrigation schedules, the company was able to increase average profits by more than 30% per acre.

    In Karnataka, Maharashtra, and Telangana, Fasal formally launched its farm-level IoT sensor network and AI-powered micro-climate advisory in February 2025. According to users in field trials, this allowed for real-time irrigation, weather, and pest guidance, which resulted in a 20% reduction in water and pesticide use.

    In March 2024, DeHaat had scaled to provide 1.8 million farmers in 12 states with localized crop calendars and disease/pest alerts through contact centers and apps, expanding its AI-advisory engine to 35 crop varieties.

    AgroStar's 2024 ESG Impact report, published in July 2024, outlines their digital-first approach, which includes resolving over 10 million agronomy queries using AI-guided advising, boosting yields by 27%, cutting input costs by 17%, and establishing connections with over 25 export markets.

    By incorporating machine learning-based demand forecasting and price insights into its fresh produce logistics network in more than 60 cities, Ninjacart improved its supply-chain AI in September 2023.

    Early in 2024, Intello Labs carried on testing AI-based crop quality detection with agribusiness partners, allowing automated image analytics-based fault detection during harvest grading. These advancements show tangible AI applications in India's agriculture sector from January 2023, spearheaded by Intello Labs, CropIn, Fasal, DeHaat, AgroStar, and Ninjacart.

    India Applied AI

    Market Segmentation

    Applied AI in Agriculture Market Offering Outlook

    • Drone Analytics
    • Precision Farming

    Applied AI in Agriculture Market Technology Outlook

    • Software
    • AI-as-a-Service

    Applied AI in Agriculture Market Application Outlook

    • Drone Analytics
    • Precision Farming

    Report Scope

     

    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 135.8(USD Million)
    MARKET SIZE 2024 175.7(USD Million)
    MARKET SIZE 2035 5205.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 36.077% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED AgroStar, Gramophone, TartanSense, CropIn, DeHaat, Intello Labs, Ninjacart, Aibono, BharatAgri, S4S Technologies, Skymet Weather, Precision Agriculture, Krishify, Agnikul, Fasal
    SEGMENTS COVERED Technology, Offering, Application
    KEY MARKET OPPORTUNITIES Precision farming technologies, Crop health monitoring solutions, Automated irrigation systems, AI-driven pest management, Supply chain optimization tools
    KEY MARKET DYNAMICS Rising demand for food security, Increasing adoption of precision farming, Government support and initiatives, Advancements in data analytics, Growing investment in agri-tech startups
    COUNTRIES COVERED India

    FAQs

    What is the projected market size of the India Applied AI in Agriculture Market by 2035?

    The market is expected to be valued at approximately 5205.0 USD Million by 2035.

    What was the market value of the India Applied AI in Agriculture Market in 2024?

    In 2024, the market was valued at around 175.7 USD Million.

    What is the expected CAGR for the India Applied AI in Agriculture Market from 2025 to 2035?

    The market is anticipated to grow at a CAGR of 36.077% during the period from 2025 to 2035.

    Who are some key players in the India Applied AI in Agriculture Market?

    Major players in the market include AgroStar, Gramophone, CropIn, and DeHaat.

    What technology segments are present in the India Applied AI in Agriculture Market?

    The market is divided into three technology segments: Machine Learning, Computer Vision, and Predictive Analytics.

    What is the market size for Machine Learning in the India Applied AI in Agriculture Market in 2024?

    In 2024, the Machine Learning segment is valued at 70.0 USD Million.

    What is the projected market size for Computer Vision in 2035?

    By 2035, the Computer Vision segment is expected to reach 1500.0 USD Million.

    What market value is Predictive Analytics expected to achieve by 2035?

    Predictive Analytics is projected to be valued at approximately 1605.0 USD Million by 2035.

    What are the growth opportunities in the India Applied AI in Agriculture Market?

    Growth opportunities in the market are driven by advancements in technology and increasing need for efficient farming practices.

    How does the current global scenario impact the India Applied AI in Agriculture Market?

    The current global scenario is influencing the market through changes in agricultural practices and demand for improved productivity.

    Report Infographic
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