As per MRFR analysis, the India Applied AI in Agriculture Market Size was estimated at 135.8 (USD Million) in 2023.The India Applied AI in Agriculture Market is expected to grow from 175.7(USD Million) in 2024 to 5,205 (USD Million) by 2035. The India Applied AI in Agriculture Market CAGR (growth rate) is expected to be around 36.077% during the forecast period (2025 - 2035).
Key India Applied AI in Agriculture Market Trends Highlighted
Due to a number of important market factors, the applied AI in agriculture market in India is expanding significantly. The need for food security in a population that is expanding quickly is one of the main causes. The use of AI technologies aids in improving crop yields and resource management, as India is one of the world's biggest producers of agricultural products.
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.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
India Applied AI in Agriculture Market Drivers
Government Initiatives and Support
The Indian government has been actively promoting the adoption of artificial intelligence in agriculture through various initiatives and funding programs. For instance, the Digital India initiative aims to transform the country into a digitally empowered society and knowledge economy, which is crucial for integrating advanced technologies in agriculture.
The Ministry of Agriculture and Farmers Welfare has also been working towards launching schemes like the Pradhan Mantri Krishi Sinchai Yojana, which encourages the use of technology for better farming practices. These initiatives are significant as the Indian agricultural sector contributes about 17-18% of the country's Gross Domestic Product (GDP) and employs nearly half of the country's workforce.
The accelerated push for modernization represents a fertile ground for the India Applied AI in Agriculture Market to thrive. Moreover, the National Agricultural Innovation Project has highlighted the importance of research and development in the agricultural sector, further driving the incorporation of AI technologies to enhance productivity and sustainability.
Rising Demand for Food Security
With a population projected to reach 1.7 billion by 2050, India faces growing pressure to ensure food security. The agricultural sector must adapt to meet this increasing demand, and Artificial Intelligence presents innovative solutions to optimize crop yields, manage resources, and minimize losses.
The Indian Council of Agricultural Research reported that the country's food grain production needs to increase significantly to meet projected food demands. AI technologies, such as predictive analytics and machine learning algorithms, allow farmers to make data-driven decisions to improve crop productivity.
As established organizations like the Indian Space Research Organisation tap into satellite data to deliver precision farming solutions, the importance of AI in agriculture becomes pivotal for achieving food security.
Technological Advancements and Innovation
The rapid advancement in communication technologies plays a crucial role in the growth of the India Applied AI in Agriculture Market. With over 800 million mobile phone users in India, many farmers now have access to real-time data and insights.
This connectivity enables them to utilize AI-based applications for crop management, pest detection, and soil health monitoring. Organizations such as the National Association of Software and Service Companies have highlighted the need for technological advancements to boost agricultural productivity.
Enhanced access to big data and artificial intelligence analytics empowers farmers to make informed decisions, driving the integration of AI solutions in agriculture.
As per the Department of Telecommunications, the overall internet penetration in rural areas has reached approximately 30%, presenting a significant opportunity for farmers to leverage technological innovations to optimize their yields.
Adoption of Sustainable Farming Practices
Sustainability has become a crucial focus area in Indian agriculture, driving interest in AI applications. The Indian government has set ambitious targets to reduce chemical fertilizer usage by 30% and promote organic farming practices. AI technologies can help monitor crop conditions, optimize input usage, and minimize environmental impact.
According to the Ministry of Environment, Forest and Climate Change, over 30% of rural households are now adopting organic farming methods, underscoring the shift towards sustainability.
Established organizations such as the Food and Agriculture Organisation are promoting sustainable practices to counter the adverse effects of climate change. These trends indicate a growing market for AI technologies that can facilitate sustainable agricultural practices.
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.
Predictive Analytics further supports farmers by offering forecasts on crop yields, pest outbreaks, and market trends, allowing them to optimize resource allocation and maximize their returns. The diversification of crops in India, supported by these technological advancements, holds the potential to increase food security and contribute to the growing demand for sustainable agriculture.
The ongoing digital transformation within the sector is aligned with government initiatives aimed at enhancing agricultural productivity and farmer income. With the Indian agriculture market being one of the largest sectors employing a significant portion of the population, the adoption of AI-driven technologies becomes not just beneficial but necessary.
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, MRFR Database and Analyst Review
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.
The evolving landscape of the agriculture industry presents tremendous opportunities for these offerings, driving innovation and improving productivity while addressing the challenges posed by climate change and food security. Overall, the segment dedicated to Offering is crucial for growth in the India Applied AI in Agriculture Market, allowing stakeholders to leverage technology for sustainable farming practices.
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.
With India's agrarian economy heavily reliant on efficient production methods, both Drone Analytics and Precision Farming play crucial roles in transforming traditional agricultural practices. The focus on these applications aligns with government initiatives aimed at boosting agricultural productivity and ensuring food security, indicating a robust future for the India Applied AI in Agriculture Market expansion.
As farmers continue to embrace these technologies, the market is expected to witness a diverse range of innovations and solutions tailored to the specific needs of the agricultural sector.
India Applied AI in Agriculture Market 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 Include
India Applied AI in Agriculture Market 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 in Agriculture Market Segmentation Insights
| 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 |
Frequently Asked Questions (FAQ):
The market is expected to be valued at approximately 5205.0 USD Million by 2035.
In 2024, the market was valued at around 175.7 USD Million.
The market is anticipated to grow at a CAGR of 36.077% during the period from 2025 to 2035.
Major players in the market include AgroStar, Gramophone, CropIn, and DeHaat.
The market is divided into three technology segments: Machine Learning, Computer Vision, and Predictive Analytics.
In 2024, the Machine Learning segment is valued at 70.0 USD Million.
By 2035, the Computer Vision segment is expected to reach 1500.0 USD Million.
Predictive Analytics is projected to be valued at approximately 1605.0 USD Million by 2035.
Growth opportunities in the market are driven by advancements in technology and increasing need for efficient farming practices.
The current global scenario is influencing the market through changes in agricultural practices and demand for improved productivity.
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Team Lead - Research she holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.
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