Report Overview

The India AI in agriculture market is flourishing at a high rate owing to the rising adoption of advanced data generating technologies such as sensors, machinery learning, etc., to improve crop yield and to help in detecting disease and poor nutrition in plants and farms...

India AI in Agriculture Market- Industry Trends & Forecast Report 2028

India AI in agriculture market is anticipated to grow at the CAGR of 24% during the forecast period 2022-2028. The market is flourishing at a high rate owing to the rising adoption of advanced data-generating technologies such as sensors, machine learning, etc., to improve crop yield and to help in detecting disease and poor nutrition in plants and farms.

AI in Agriculture - Overview

AI in agriculture refers to the application of AI sensors for the detection of weed and pests and diseases in plants to improve the overall harvest and crop yield. Some of the most common practices of AI in agriculture are crop and soil monitoring, insect and plant disease detection, livestock health monitoring, intelligent spraying, automatic weeding, etc. These technologies help farmers in better resource management with real-time insights.

India AI in Agriculture Market Forecast and Trends

Growth Drivers

Favorable Government Initiatives and Investments

The Government of India is taking various initiatives in boosting the adoption of AI in agriculture in the country. For instance, Union Minister of Agriculture and Farmers' Welfare Narendra Mr. Singh Tomar announced on November 6, 2020, that the Center will soon launch an AI-powered 'price information and market intelligence system,' allowing farmers to find out the latest rates of various farm produce in markets across the country. Such initiatives play a crucial role in propelling the growth of the overall India AI in the agriculture market.

Rising Demand for Monitoring of Livestock

Following the COVID-19 era, farmers in India are concentrating more on the health of their livestock due to the rising prevalence of zoonotic illnesses and increased awareness. The need for meat, milk, eggs, and wool is met in part by livestock. Meat, eggs, and milk consumption are rising in the country as a result of changing lifestyles, a growing population, and rising per capita income levels. Dairy farms may now follow all behavioral features of a herd individually using advanced AI technology such as facial recognition for cattle and picture classification along with body condition score and feeding habits.

Restraints

High Installation Cost and Lack Of Standardization In India

Artificial intelligence (AI) adoption in India's agriculture industry is hampered by the high cost of AI hardware and services. Furthermore, because data collection standards are insufficient and data sharing is weak, market development is limited. Machine learning, artificial intelligence, and sophisticated algorithm design have improved fast, but the gathering of well-tagged, usable agricultural data has lagged far behind.

Impact of COVID-19 on India AI in Agriculture Market

The unprecedented COVID-19 outbreak hindered the growth of India AI in the agriculture market. With the overwhelming surge in the COVID-19 affected cases, the Government of India had to impose a nationwide lockdown which halted the agricultural practices as well. The shortage of sensors and other components for AI due to the obstruction in the distribution and supply chain impacted the market negatively. Furthermore, the restrictions of manufacturing operations and shortage of semiconductor chips also imposed huge challenges for the India AI in Agriculture market.

India AI in Agriculture Market - By Technology

Based on technology, the India AI in the agriculture market is segmented into machine learning, computer vision, and predictive analytics. Machine learning holds the largest share in the India AI in agriculture market as it allows the farmers to deploy sophisticated data and analytics tools which allows for smarter judgments, more efficiency, and less waste in food and biofuel production, all while limiting negative environmental implications.

India AI in Agriculture Market - By Offering

Based on offering, the India AI in the agriculture market is segmented into hardware, software, AI-as-a-service, and services. The hardware segment is further classified into the processor, storage device, and network. The software is further classified into AI platforms and AI integration. The services are further classified into deployment & integration and support & maintenance. The hardware segment accounts for the largest market share owing to the rising demand for sensors and other data-generating components.

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. North India accounts for the largest share of the AI in the agriculture market because of the dominance of agriculture as the primary source of income for the majority population in this region. The governments of states of these regions such as Uttar Pradesh, Haryana, Punjab, etc., are taking various initiatives and offering subsidies to boost the adoption of advanced technologies such as AI, propelling the overall market growth.

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.

The India AI in the 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.

Recent Development

• In March 2022, Asteria Aerospace, a Reliance Jio’s subsidiary, announced the launch of SkyDeck, a new Drone-as-a-Service (DaaS), a cloud-based software platform for several industries including agriculture.

Scope of the Report

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