Press Release

Precision Farming to Dominate India AI in Agriculture Market until 2025

Growing initiatives by the government for supporting adoption of modern agricultural techniques to drive the growth of India AI in agriculture market.

According to TechSci Research report, 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, 2025 the India AI in agriculture market is expected to grow at a formidable during forecast period owing to the increase in the adoption of cattle face recognition technology and surging use of unmanned aerial vehicles (UAVs) across agricultural farms. Additionally, increasing use and growing need of better yield of products are further propelling the market. However, high cost of cutting-edge AI technologies and lack of awareness regarding the use of AI in agriculture amongst end users can hamper the growth of market during forecast period. Additionally, lack of standardization in data collection and lack or improper sharing of data can further restrict the growth of market during forecast period.

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The India AI in agriculture market is segmented based on technology, offering, application, company and regional distribution. Based on technology, the market can be fragmented into machine learning, predictive analytics and computer vision. The predictive analytics technology segment is expected to witness significant growth during the forecast period since the technology helps farmers in improving their crop yield and product quality by analyzing and associating large amount of structured and unstructured data from multiple sources to abstract actionable visions to enhance yield. Based on offering, the market can be segmented into hardware, software and AI-as-a-service. The hardware segment is expected to register highest CAGR during the forecast period owing to the increasing demand for processors and data storage devices for farm operations. Based on application, the market can be fragmented into precision farming, livestock monitoring and others. The precision farming segment is expected to dominate the market during the forecast period. This can be ascribed to the increasing popularity of precision farming among the farmers as a result of increasing need for optimum yield production with limited available resources resulting in cost reduction of crop production. Additionally, the rapid use of IoT in agriculture sector is further contributing to the growth of the precision farming market.

IBM Corporation, John Deere India Private ltd, Microsoft Corporation, Intel, SatSure, Fasal, Aibono, Gobasco, Cropin, Intello Labs and others and others are some of the leading players operating in India AI in agriculture market. The companies operating in the market are using organic strategies such as product launches, mergers and collaborations to boost their share.


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“India AI in agriculture market is expected to witness significant growth during the forecast period owing to the increasing adoption of artificial intelligence -enabled solutions and services by agriculture-technology-based companies, increasing adoption of the robotics and IoT devices in agriculture, among others. Additionally, supportive regulations and standards in the country encourage the implementation of modern techniques in farming. For instance, in July 2019, the Government of India began the use of artificial intelligence for yield estimation and crop cutting to cut down the cost of farming and increasing productivity.” said Mr. Karan Chechi, Research Director with TechSci Research, a research based global 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, 2025 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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India AI in Agriculture Market By Technology (Machine Learning, Predictive Analytics, Computer Vision), By Offering (Hardware, Software, AI-As-A-Service), By Application (Precision Farming, Livestock Monitoring, Others), By Region, By Competition, Forecast & Opportunities, 2020-2030F

Agriculture | May, 2024

Rising need for precision farming & resource optimization and expanding technological advancements are factors driving the India AI in Agriculture Market in the forecast period 2026-2030.

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