India AI In Agriculture Market Size Trend, Demand And Import/Export Details Up To 2030

Report Ocean, revealed that the India AI in agriculture market is estimated to grow at a CAGR of 24% during the forecast period 2022-2028


Kiritika Jadhav

10 months ago | 4 min read

A recent study conducted by the strategic consulting and market research firm, Report Ocean, revealed that the India AI in agriculture market is estimated to grow at a CAGR of 24% during the forecast period 2022-2028. The market is growing at a rapid pace as more advanced data-generating technologies, such as sensors and machine learning, are being adopted to boost crop output and aid in the detection of disease and inadequate nutrition in plants and farms. However, lack of awareness and funding for AI among Indian farmers and high installation costs may act as a huge restraining factor for India AI in agriculture market growth.

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Increasing Adoption of Advanced Technologies is Driving India AI in Agriculture Market

The increased usage of IoT and other modern technologies such as machine learning, cloud computing, and so on is another important reason propelling AI in India’s agriculture business. With the increased usage of mobile devices and cloud computing, India’s IoT business is developing. IoT’s various benefits, such as the capacity to manage vast volumes of structured and unstructured data formats, are driving IoT demand in the agriculture industry.

Expanding Infrastructure and Technology Infrastructure in India is Propelling AI In Agriculture Market

The AI in agriculture will require cloud computing to record and share data among various systems. India is significantly emerging as a leading cloud service provider globally with an increasing number of cloud data centers in different parts of the world. The cloud computing companies and startups are offering SaaS (Software-as-a-Service) as well as PaaS (Platform-as-a-Service) along with private, public as well as hybrid deployment modes. This is anticipated to boost the adoption of AI in agriculture in India.

India AI in Agriculture Market – By Agriculture

Based on agriculture, the India AI in agriculture market is segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, labor management, and others. Precision farming holds the largest share in the market owing to the rising focus towards yielding the benefits of this type of agricultural practice. Precision farming helps in improving agricultural productivity through the use of sensors and data along with prompts the reduction of chemical use and efficient management of water resources.

India AI in Agriculture Market – Regional Insights

Geographically, the India AI in agriculture market is segmented into North India, South India, East India, and West India. Because agriculture is the primary source of income for the majority of people in this region, North India has the greatest share of AI in the agricultural market. The governments of states in these regions, such as Uttar Pradesh, Haryana, Punjab, and others, are adopting different measures and providing subsidies to encourage the use of new technologies like AI, hence boosting the overall market growth.

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Impact of COVID-19 on India AI in Agriculture Market

The unprecedented COVID-19 epidemic hindered India’s AI in agricultural sector expansion. Due to the overwhelming number of COVID-19 cases, the Indian government was forced to implement a nationwide lockdown, which also interrupted agricultural activity. Due to a disruption in the distribution and supply chain, there was a scarcity of sensors and other AI components, which had a detrimental influence on the market. In addition, production constraints and a lack of semiconductor chips caused significant obstacles for India AI in agriculture industry.

Competitive Landscape

The leading market players of the India AI in agriculture market are IBM Corporation, Intello Labs, John Deere India Private Ltd, Intel Corp, CropIn Technology Solutions, Microsoft Corporation, Gobasco, SatSure Analytics India Pvt. Ltd., Aibono, Fasal, and other prominent players.

Market Segment:

By Technology (Machine Learning, Computer Vision, Predictive Analytics)

By Offering (Hardware, Software, Ai-As-A-Service, Services)

By Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Labor Management, Others)

By Region (North India, South India, East India, West India)

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The India AI in agriculture market is highly fragmented with the presence of several multinational corporations as well as local startups. The companies constantly launch edge technologies and solutions as well as significantly invest in research and development activities to expand their market presence. Furthermore, they also prominently adopt competitive strategies such as partnerships, mergers, acquisitions, collaborations, etc.

Dont miss the business opportunity of the India AI in the agriculture market. Consult our analysts to gain crucial insights and facilitate your business growth.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of the India AI in agriculture market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends of India AI in agriculture market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Content:

  • Report Overview
  • Global Growth Trends
  • Competition Landscape by Key Players
  • Data Segments
  • North America Market Analysis
  • Europe Market Analysis
  • Asia-Pacific Market Analysis
  • Latin America Market Analysis
  • Middle East & Africa Market Analysis
  • Key Players Profiles Market Analysis
  • Analysts Viewpoints/Conclusions
  • Appendix

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Created by

Kiritika Jadhav







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