India AI in Agriculture Market to Grow with a CAGR of 12.24% through 2030F
Rising need for precision farming & resource
optimization and rising smart irrigation systems is expected to drive the India
AI in Agriculture Market growth in the forecast period, 2026-2030.
According to TechSci Research report, “India AI in
Agriculture Market - By Region, Competition Forecast
& Opportunities, 2030F”, the India AI in Agriculture Market stood
at USD
55.17 Million in 2024 and is
anticipated to USD 109.30 Million with a CAGR of 12.24% during the forecast period.
The growing need for precision farming and efficient
resource optimization is a key factor driving the adoption of AI in Indian
agriculture. Traditionally, farming methods have relied on the blanket
application of resources like water, fertilizers, and pesticides across entire
fields. This one-size-fits-all approach often results in resource wastage,
environmental degradation, and higher operational costs. Overuse of fertilizers
and pesticides, for example, can lead to soil contamination, reduced biodiversity,
and an increase in water pollution. Additionally, inefficient irrigation
practices exacerbate water scarcity, especially in regions that face droughts
or erratic rainfall. Given these challenges, there is a critical demand for
more precise and sustainable farming practices in India.
AI-driven precision farming addresses these
inefficiencies by enabling farmers to respond to the natural variability within
their fields. By integrating data from multiple sources such as sensors,
drones, satellite imagery, and weather forecasts, AI systems can provide
real-time insights into soil health, moisture levels, pest infestations, and
crop growth patterns. Machine learning algorithms process this data to identify
patterns and predict how resources should be applied in specific areas of the
field, ensuring that each crop receives the optimal amount of water, nutrients,
and protection. This targeted approach not only minimizes waste but also helps
preserve the environment by reducing the overuse of fertilizers and pesticides.
The precision farming approach also leads to significant cost savings for
farmers. With AI systems guiding resource allocation, farmers can reduce the
amount of water, fertilizers, and pesticides used, leading to lower input
costs. Furthermore, the ability to monitor crop health and predict yield
outcomes with high accuracy enhances decision-making, ensuring that farmers can
maximize their productivity while maintaining sustainability. As India grapples
with growing resource constraints, AI-powered precision farming is emerging as
a crucial solution for ensuring food security, increasing crop yield, and
fostering long-term agricultural sustainability.
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The India AI in Agriculture Market is segmented into
technology, offering, application, regional distribution, and company.
Based on application, in the Indian AI in Agriculture
Market, Precision Farming emerges as the dominant sector, revolutionizing the
way farmers cultivate crops. This can be attributed to the extensive use of
AI-powered tools and solutions that leverage the analysis of real-time data,
providing farmers with valuable insights for making informed decisions. By
harnessing the power of AI, farmers can optimize resource allocation, implement
precision irrigation techniques, and monitor crop health more effectively.
AI-powered tools can analyze soil conditions, weather patterns, and crop growth
data to offer personalized recommendations for fertilization, pest control, and
harvesting timelines. This level of precision and data-driven decision-making
enables farmers to maximize crop yields, reduce waste, and minimize
environmental impact. AI algorithms can continuously learn and adapt based
on changing conditions and new data inputs, leading to ongoing improvements in
efficiency and productivity. Real-time monitoring and predictive analytics help
farmers identify potential issues early on, allowing for proactive
interventions and preventive measures. Overall, the integration of AI in
Precision Farming not only enhances crop production and resource management but
also contributes to sustainable agriculture practices. By leveraging AI-powered
technologies, farmers can embrace data-driven approaches to optimize their
operations and achieve long-term economic and environmental sustainability.
Based on region, The
Southern region is the second-dominating region in the India AI in Agriculture
Market. The Southern states, including Tamil Nadu, Karnataka, Andhra Pradesh,
and Telangana, have emerged as key players in the adoption of AI-driven
agricultural solutions. This is primarily due to the high agricultural output
in these states, along with a growing focus on innovative farming practices to
address challenges like water scarcity, pest control, and crop diseases. The
Southern region benefits from a robust agricultural ecosystem, characterized by
both traditional farming and advancements in agri-tech. Farmers here are
increasingly turning to AI-powered solutions such as precision farming, smart
irrigation, and crop health monitoring to optimize resource use and enhance
productivity. The region is also home to a strong tech and start-up presence,
with several companies focusing on AI applications in agriculture. Government initiatives aimed at improving agricultural practices, along with
the increasing support for digital agriculture, further drive AI adoption in
the South. With access to both skilled labor and technological expertise, the
Southern region is expected to continue expanding its share in the India AI in
Agriculture Market, making it a crucial area for growth in the coming years.
Major companies operating in India AI in Agriculture
Market are:
- IBM India
Private Limited
- Granular
India Limited
- Microsoft
Corporation (I) Private Limited
- John
Deere India Private Limited
- Intel
Technology India Private Limited
- Climate
Agrobotix India Private Limited
- Fasal
Farming Private Limited
- Aibono
Smart Farming Private Limited
- Intello
Labs Private Limited
- CropIn
Technology Solutions Private Limited
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“AI is
also transforming livestock farming in India, where the sector plays a
significant role in rural livelihoods. AI-powered solutions are being used to
monitor the health and behavior of livestock, improving disease management and
increasing productivity. Wearable devices and sensors provide real-time data on
an animal's health, activity levels, and feeding habits, allowing farmers to
detect issues like infections or malnutrition early. AI systems can analyze
this data to predict potential health problems, optimize feeding schedules, and
improve breeding practices. These AI tools help farmers make data-driven
decisions, ensuring healthier livestock and higher-quality products. As AI in
livestock management becomes more accessible, it is expected to improve the
profitability and sustainability of the sector. These trends indicate that AI
is transforming India's agricultural landscape, offering solutions to optimize
productivity, sustainability, and efficiency across various facets of farming.
As the adoption of AI continues to grow, it holds the potential to address some
of the industry's most pressing challenges, from resource management to market
access.,” said Mr. Karan Chechi, Research Director, TechSci Research, a
research-based management consulting firm.
“India AI in Agriculture Market By
Technology (Machine Learning, Predictive Analytics and Computer Vision), By
Offering (Hardware, Software and AI-As-A-Service), By Application (Precision
Farming, Livestock Monitoring, Others), By Region, Competition, Forecast &
Opportunities, 2020-2030F”, has
evaluated the future growth potential of India AI in Agriculture Market and
provides statistics & information on market size, structure and future
market growth. The report intends to provide cutting-edge market intelligence
and help decision makers take sound investment decisions. Besides, the report
also identifies and analyzes the emerging trends along with essential drivers,
challenges, and opportunities in India AI in Agriculture Market.
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