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 -Industry Size,
Share, Trends, Competition Forecast & Opportunities, 2030F”, the
India AI in Agriculture Market stood at USD 55.17 Million in 2024 and is
anticipated to grow with a CAGR of 12.24% in
the forecast period, 2026-2030. The drivers of India's AI in Agriculture market
can be attributed to several factors. The increasing population coupled with
the demand for high yield crops is pushing the adoption of advanced
technologies, like AI, in the agriculture sector. Government initiatives to
promote digital and smart farming are also contributing to this growth.
Climate
change and the need for efficient usage of natural resources are prompting the
use of AI for predictive analysis and precision farming. The availability of
affordable AI solutions and a growing start-up ecosystem focused on agri-tech
innovations are further propelling this trend in the Indian market.
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The
Indian government has recognized the potential of AI in agriculture and is
taking active measures to promote its adoption. The National Strategy for
Artificial Intelligence, released by NITI Aayog, highlights agriculture as one
of the priority sectors for AI intervention. The government is also partnering
with tech companies and academic institutions to develop AI solutions for
agriculture. Nonetheless, the adoption of AI in agriculture in India faces
several challenges. High costs, lack of awareness, digital illiteracy among
farmers, and inadequate infrastructure are some of the key barriers. However,
with appropriate policy interventions and strategic partnerships, these
challenges can be overcome.
The
proliferation of AI-powered solutions will transform India's agricultural
landscape, enabling precision farming, optimizing resources, and ensuring food
security for the burgeoning population. The potential of AI in India's
agriculture sector is immense, promising a future of enhanced productivity and
efficiency. Despite the challenges, the growing investments, government
initiatives, and technological advancements point towards a bright future for
AI in Indian agriculture.
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.
The
northern region of India is set to lead the AI in agriculture market, thanks to
its unique geographical and economic attributes. Encompassing states like
Punjab, Haryana, Uttar Pradesh, and Rajasthan, this area is historically
recognized as India's agricultural hub, solidified by the Green Revolution of
the 1960s, which introduced high-yielding seeds and extensive irrigation
projects. Currently, AI adoption in agriculture represents the next major
advancement for this region. With extensive farmlands and major production of
wheat, rice, sugarcane, and various fruits and vegetables, the northern states
stand to benefit significantly from AI technologies. Precision farming,
predictive analytics, and automated irrigation systems can substantially
enhance crop yields, reduce waste, and optimize resource utilization, crucial
for tackling challenges like climate change, water scarcity, and labor
shortages.
The
northern region boasts robust infrastructure, including prestigious research
institutions like the Indian Agricultural Research Institute (IARI) in Delhi
and various state agricultural universities, which are actively engaged in
developing AI technologies suited to local agricultural needs. The region also
sees a rising number of agritech startups and collaborations with tech giants,
fostering AI integration in farming practices, supported by favorable
government policies and investments aimed at agricultural modernization.
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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“The future of the AI in Agriculture
market in India looks incredibly promising, with vast potential for significant
growth. The integration of AI technologies is expected to revolutionize farming
practices through increased productivity, efficiency, and sustainability,
bringing about a transformative impact on the entire agricultural ecosystem. By leveraging advanced Machine Learning models,
farmers will be able to make accurate predictions about weather patterns and
their direct impact on crops, enabling them to take proactive measures to
protect their harvests. AI-driven drones equipped with
state-of-the-art technology could assist in precise pest control and efficient
crop monitoring, leading to higher crop yields and reduced reliance on harmful
pesticides. AI has the potential to foster sustainable farming
practices by optimizing resource utilization, minimizing wastage, and reducing
the environmental impact of agricultural activities. With these advancements,
it is evident that AI is poised to bring about a new era of intelligent and
sustainable farming practices in India, benefiting both farmers and the
environment.,” 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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