PUBLISHER: Blueweave Consulting | PRODUCT CODE: 1534375
PUBLISHER: Blueweave Consulting | PRODUCT CODE: 1534375
India AI in Agriculture Market, By Offerings; By Technology; By Deployment; By Applications; By End User; By Region, Trend Analysis, Competitive Landscape & Forecast, 2019-2030
India AI in Agriculture Market Size Booming at CAGR of almost 10% to Touch USD 2 Billion by 2030
India AI in Agriculture Market is flourishing due to an increasing integration of modern technologies like IoT, machine learning (ML), drones, and cloud computing, and the government's initiatives to promote the adoption of AI in agriculture for sustainable and precision farming.
BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated the India AI in Agriculture Market size by value at USD 466.95 million in 2023. During the forecast period between 2024 and 2030, BlueWeave expects the India AI in Agriculture Market size to expand at a CAGR of 9.88% reaching a value of USD 1,918.29 million by 2030. The AI in Agriculture Market in India is propelled by the increasing integration of artificial intelligence (AI) into agriculture. AI enhances farming practices by employing cognitive technology to facilitate learning, reasoning, and interaction within the agricultural sector. This technology revolutionizes traditional farming methods, with farmers increasingly adopting advanced techniques, such as drones, automated systems, and robots. The focus has shifted towards optimizing crop yields without compromising quality, leading to increased investment in automated farming systems to meet growing demand.
Opportunity - Growing Demand for Smart Farming Practices
India is witnessing a surge in the adoption of smart farming practices to address the challenges of shrinking agricultural land and a rapidly growing population. With the global population expected to reach 9.1 billion by 2050, and India being the most populous country with more than 1.4 billion people accounting for a significant portion of this growth, the pressure on food security is immense. Smart farming, or precision agriculture, leverages technologies like IoT, AI, and data analytics to optimize agricultural efficiency, productivity, and sustainability. By employing IoT sensors for real-time data on soil and crop conditions, and using AI to provide actionable insights, farmers can make informed decisions on irrigation, fertilization, and pest control. The technology-driven approach not only boosts crop yields and reduces resource wastage but also enhances farm income and environmental sustainability. As these practices become more accessible, the demand for smart farming continues to grow, promising a more secure and sustainable agricultural future for India.
Impact of Escalating Geopolitical Tensions on India AI in Agriculture Market
Geopolitical tensions can have a multifaceted impact on the India AI in Agriculture Market. Uncertainties arising from geopolitical conflicts can disrupt supply chains, impede technological collaborations, and deter foreign investments critical for advancing AI solutions in agriculture. Moreover, heightened tensions may lead to trade restrictions or embargoes, limiting access to essential resources and hindering the adoption of advanced technologies. Such disruptions not only hamper market growth but also undermine efforts to modernize and enhance agricultural productivity. Therefore, maintaining geopolitical stability and fostering international cooperation are imperative to mitigate adverse effects and sustain the momentum of innovation in India's agricultural sector.
India AI in Agriculture Market
Segmental Coverage
India AI in Agriculture Market - By Application
Based on application, the India AI in Agriculture Market is divided into Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Labor Management, Crop Management, and Irrigation Management segments. The precision farming segment holds the highest share in the India AI in Agriculture Market by application. It is primarily due to its profound impact on agricultural efficiency and resource management. By employing advanced technologies such as GPS, remote sensing, and variable rate technology, precision farming optimizes inputs like water, fertilizers, and pesticides, tailored to the specific needs of crops and soil conditions. This targeted approach not only maximizes yields but also minimizes waste and environmental impact, making it a preferred choice for farmers. Moreover, government initiatives and technological innovations have further propelled the adoption of precision farming, particularly in high-value crops. Despite being at a nascent stage, precision farming's potential to revolutionize Indian agriculture is evident, driving its dominance in the AI in Agriculture Market. Meanwhile, the agriculture robots segment is expected to witness the fastest growth rate during the forecast period. The key driver if the segment's growth is the innovation and efficiency in Indian agriculture. Agricultural robots, including micro-spraying robots, drones, automatic tractors and ploughs, and automated harvesting systems, are revolutionizing farming practices by enhancing productivity, sustainability, and labor efficiency. These advanced technologies enable precise crop monitoring, targeted pest control, optimized cultivation, and efficient harvesting, addressing key challenges faced by Indian farmers. Platforms like 'agribazaar' are further facilitating the adoption of agricultural robots by providing farmers with access to innovative solutions and fair market opportunities.
India AI in Agriculture Market - By Region
Geographically, the India AI in Agriculture Market is divided into North India, South India, East India, and West India regions. The North India region holds the highest share in the India AI in Agriculture Market and is expected to maintain its dominance over the forecast period. Recognizing the potential of modern technologies to transform the sector, especially given their rich agricultural history and extensive farming practices, the region is embracing advanced methods and digital innovations. The government's goal is to enhance productivity, promote sustainability, and tackle the evolving challenges in agriculture. AI adoption extends beyond crop monitoring and yield prediction to encompass soil analysis, pest management, irrigation optimization, and livestock monitoring. By integrating AI into these areas, farmers can make informed decisions based on data, allocate resources more efficiently, and enhance overall agricultural performance.
Competitive Landscape
The India AI in Agriculture Market is fragmented, with numerous players serving the market. The key players dominating the India AI in Agriculture Market include Microsoft Corporation, IBM, Granular India Limited, John Deer India Private Limited, Fasal Farming Private Limited, Agrostar, Cropin, Intello Labs, Carbon Robotics, and Aibono. The key marketing strategies adopted by the players are facility expansion, product diversification, alliances, collaborations, partnerships, and acquisitions to expand their customer reach and gain a competitive edge in the overall market.
The report's in-depth analysis provides information about growth potential, upcoming trends, and the India AI in Agriculture Market statistics. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in the India AI in Agriculture Market along with industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyses the growth drivers, challenges, and competitive dynamics of the market.
Table of Contents
1. Research Framework
- 1.1. Research Objective
- 1.2. Product Overview
- 1.3. Market Segmentation
2. Executive Summary
3. India AI in Agriculture Market Insights
- 3.1. Industry Value Chain Analysis
- 3.2. DROC Analysis
- 3.2.1. Growth Drivers
- 3.2.1.1. Government Initiatives to promote the adoption of AI in agriculture
- 3.2.1.2. Increasing integration of technologies like IoT, ML, cloud computing
- 3.2.1.3. Global demand for sustainable agriculture
- 3.2.2. Restraints
- 3.2.2.1. Limited of specialized AI and sectoral expertise in agriculture
- 3.2.2.2. Poor data quality and lack of access to data
- 3.2.2.3. Low digital literacy and lack of trust in technology
- 3.2.3. Opportunities
- 3.2.3.1. Growing demand for smart farming practices
- 3.2.3.2. Expansion of AI applications
- 3.2.3.3. Government support for agritech start-ups
- 3.2.4. Challenges
- 3.2.4.1. Integration with existing systems
- 3.2.4.2. Regulatory and ethical issues
- 3.2.5. Technological Advancements/Recent Developments
- 3.2.1. Growth Drivers
- 3.3. Regulatory Framework
- 3.4. Porter's Five Forces Analysis
- 3.4.1. Bargaining Power of Suppliers
- 3.4.2. Bargaining Power of Buyers
- 3.4.3. Threat of New Entrants
- 3.4.4. Threat of Substitutes
- 3.4.5. Intensity of Rivalry
4. India AI in Agriculture Market: Marketing Strategies
5. India AI in Agriculture Market: Pricing Analysis
6. India AI in Agriculture Market: Geography Analysis
- 6.1. India AI in Agriculture Market, Geographical Analysis, 2023
- 6.2. India AI in Agriculture, Market Attractiveness Analysis, 2024-2030
7. India AI in Agriculture Market Overview
- 7.1. Market Size & Forecast, 2019-2030
- 7.1.1. By Value (USD Million)
- 7.2. Market Share and Forecast
- 7.2.1. By Offerings
- 7.2.1.1. Hardware
- 7.2.1.2. Software
- 7.2.1.3. AI-as-a-Service
- 7.2.1.4. Service
- 7.2.2. By Technology
- 7.2.2.1. Machine Learning
- 7.2.2.2. Computer Vision
- 7.2.2.3. Predictive Analytics
- 7.2.2.4. Natural Language Processing
- 7.2.3. By Deployment
- 7.2.3.1. Cloud
- 7.2.3.2. On-Premises
- 7.2.3.3. Hybrid
- 7.2.4. By Applications
- 7.2.4.1. Precision Farming
- 7.2.4.2. Livestock Monitoring
- 7.2.4.3. Drone Analytics
- 7.2.4.4. Agriculture Robots
- 7.2.4.5. Labor Management
- 7.2.4.6. Crop Management
- 7.2.4.7. Irrigation Management
- 7.2.4.8. Others
- 7.2.5. By End User
- 7.2.5.1. Farmers/Growers
- 7.2.5.2. Agriculture Cooperatives
- 7.2.5.3. Food Processing Companies
- 7.2.5.4. Others
- 7.2.6. By Region
- 7.2.6.1. North India
- 7.2.6.2. South India
- 7.2.6.3. East India
- 7.2.6.4. West India
- 7.2.1. By Offerings
8. North India AI in Agriculture Market
- 8.1. Market Size & Forecast, 2019-2030
- 8.1.1. By Value (USD Million)
- 8.2. Market Share & Forecast
- 8.2.1. By Offerings
- 8.2.2. By Technology
- 8.2.3. By Deployment
- 8.2.4. By Applications
- 8.2.5. By End User
9. South India AI in Agriculture Market
- 9.1. Market Size & Forecast, 2019-2030
- 9.1.1. By Value (USD Million)
- 9.2. Market Share & Forecast
- 9.2.1. By Offerings
- 9.2.2. By Technology
- 9.2.3. By Deployment
- 9.2.4. By Applications
- 9.2.5. By End User
10. East India AI in Agriculture Market
- 10.1. Market Size & Forecast, 2019-2030
- 10.1.1. By Value (USD Million)
- 10.2. Market Share & Forecast
- 10.2.1. By Offerings
- 10.2.2. By Technology
- 10.2.3. By Deployment
- 10.2.4. By Applications
- 10.2.5. By End User
11. West India AI in Agriculture Market
- 11.1. Market Size & Forecast, 2019-2030
- 11.1.1. By Value (USD Million)
- 11.2. Market Share & Forecast
- 11.2.1.1. By Offerings
- 11.2.1.2. By Technology
- 11.2.1.3. By Deployment
- 11.2.1.4. By Applications
- 11.2.1.5. By End User
12. Competitive Landscape
- 12.1. List of Key Players and Their Applications
- 12.2. India AI in Agriculture Company Market Share Analysis, 2023
- 12.3. Competitive Benchmarking, By Operating Parameters
- 12.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
13. Impact of Escalating Geopolitical Tensions on India AI in Agriculture Market
14. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)
- 14.1. Microsoft Corporation
- 14.2. IBM
- 14.3. Granular India Limited
- 14.4. John Deer India Private Limited
- 14.5. Fasal Farming Private Limited
- 14.6. Agrostar
- 14.7. Cropin
- 14.8. Intello Labs
- 14.9. Carbon Robotics
- 14.10. Aibono
- 14.11. Other Prominent Players
15. Key Strategic Recommendations
16. Research Methodology
- 16.1. Qualitative Research
- 16.1.1. Primary & Secondary Research
- 16.2. Quantitative Research
- 16.3. Market Breakdown & Data Triangulation
- 16.3.1. Secondary Research
- 16.3.2. Primary Research
- 16.4. Breakdown of Primary Research Respondents, By Region
- 16.5. Assumptions & Limitations
*Financial information of non-listed companies can be provided as per availability.
**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable
List of Figures
- Figure 1 India AI in Agriculture Market Segmentation
- Figure 2 India AI in Agriculture Market Value Chain Analysis
- Figure 3 Company Market Share Analysis, 2023
- Figure 4 India AI in Agriculture Market Size, By Value (USD Million), 2019-2030
- Figure 5 India AI in Agriculture Market Share, By Offerings, By Value (USD Million), 2019-2030
- Figure 6 India AI in Agriculture Market Share, By Technology, By Value (USD Million), 2019-2030
- Figure 7 India AI in Agriculture Market Share, By Deployment, By Value (USD Million), 2019-2030
- Figure 8 India AI in Agriculture Market Share, By Applications, By Value (USD Million), 2019-2030
- Figure 9 India AI in Agriculture Market Share, By End User, By Value (USD Million), 2019-2030
- Figure 10 India AI in Agriculture Market Share, By Region, By Value (USD Million), 2019-2030
- Figure 11 North India AI in Agriculture Market Size, By Value (USD Million), 2019-2030
- Figure 12 North India AI in Agriculture Market Share, By Offerings, By Value (USD Million), 2019-2030
- Figure 13 North India AI in Agriculture Market Share, By Technology, By Value (USD Million), 2019-2030
- Figure 14 North India AI in Agriculture Market Share, By Deployment, By Value (USD Million), 2019-2030
- Figure 15 North India AI in Agriculture Market Share, By Applications, By Value (USD Million), 2019-2030
- Figure 16 North India AI in Agriculture Market Share, By End User, By Value (USD Million), 2019-2030
- Figure 17 North India AI in Agriculture Market Share, By Country, By Value (USD Million), 2019-2030
- Figure 18 South India AI in Agriculture Market Size, By Value (USD Million), 2019-2030
- Figure 19 South India AI in Agriculture Market Share, By Offerings, By Value (USD Million), 2019-2030
- Figure 20 South India AI in Agriculture Market Share, By Technology, By Value (USD Million), 2019-2030
- Figure 21 South India AI in Agriculture Market Share, By Deployment, By Value (USD Million), 2019-2030
- Figure 22 South India AI in Agriculture Market Share, By Applications, By Value (USD Million), 2019-2030
- Figure 23 South India AI in Agriculture Market Share, By End User, By Value (USD Million), 2019-2030
- Figure 24 East India AI in Agriculture Market Size, By Value (USD Million), 2019-2030
- Figure 25 East India AI in Agriculture Market Share, By Offerings, By Value (USD Million), 2019-2030
- Figure 26 East India AI in Agriculture Market Share, By Technology, By Value (USD Million), 2019-2030
- Figure 27 East India AI in Agriculture Market Share, By Deployment, By Value (USD Million), 2019-2030
- Figure 28 East India AI in Agriculture Market Share, By Applications, By Value (USD Million), 2019-2030
- Figure 29 East India AI in Agriculture Market Share, By End User, By Value (USD Million), 2019-2030
- Figure 30 West India AI in Agriculture Market Size, By Value (USD Million), 2019-2030
- Figure 31 West India AI in Agriculture Market Share, By Offerings, By Value (USD Million), 2019-2030
- Figure 32 West India AI in Agriculture Market Share, By Technology, By Value (USD Million), 2019-2030
- Figure 33 West India AI in Agriculture Market Share, By Deployment, By Value (USD Million), 2019-2030
- Figure 34 West India AI in Agriculture Market Share, By Applications, By Value (USD Million), 2019-2030
- Figure 35 West India AI in Agriculture Market Share, By End User, By Value (USD Million), 2019-2030
- Figure 36 West India AI in Agriculture Market Share, By Country, By Value (USD Million), 2019-2030
List of Tables
- Table 1 India AI in Agriculture Market Size, By Offerings, By Value (USD Million), 2019-2030
- Table 2 India AI in Agriculture Market Size, By Technology, By Value (USD Million), 2019-2030
- Table 3 India AI in Agriculture Market Size, By Deployment, By Value (USD Million), 2019-2030
- Table 4 India AI in Agriculture Market Size, By Applications, By Value (USD Million), 2019-2030
- Table 5 India AI in Agriculture Market Size, By End User, By Value (USD Million), 2019-2030
- Table 6 India AI in Agriculture Market Size, By Region, By Value (USD Million), 2019-2030
- Table 7 North India AI in Agriculture Market Size, By Offerings, By Value (USD Million), 2019-2030
- Table 8 North India AI in Agriculture Market Size, By Technology, By Value (USD Million), 2019-2030
- Table 9 North India AI in Agriculture Market Size, By Applications, By Value (USD Million), 2019-2030
- Table 10 North India AI in Agriculture Market Size, By End User, By Value (USD Million), 2019-2030
- Table 11 North India AI in Agriculture Market Size, By Country, By Value (USD Million), 2019-2030
- Table 12 South India AI in Agriculture Market Size, By Offerings, By Value (USD Million), 2019-2030
- Table 13 South India AI in Agriculture Market Size, By Technology, By Value (USD Million), 2019-2030
- Table 14 South India AI in Agriculture Market Size, By Deployment, By Value (USD Million), 2019-2030
- Table 15 South India AI in Agriculture Market Size, By End User, By Value (USD Million), 2019-2030
- Table 16 East India AI in Agriculture Market Size, By Offerings, By Value (USD Million), 2019-2030
- Table 17 East India AI in Agriculture Market Size, By Technology, By Value (USD Million), 2019-2030
- Table 18 East India AI in Agriculture Market Size, By Deployment, By Value (USD Million), 2019-2030
- Table 19 East India AI in Agriculture Market Size, By Applications, By Value (USD Million), 2019-2030
- Table 20 East India AI in Agriculture Market Size, By End User, By Value (USD Million), 2019-2030
- Table 21 West India AI in Agriculture Market Size, By Offerings, By Value (USD Million), 2019-2030
- Table 22 West India AI in Agriculture Market Size, By Technology, By Value (USD Million), 2019-2030
- Table 23 West India AI in Agriculture Market Size, By Deployment, By Value (USD Million), 2019-2030
- Table 24 West India AI in Agriculture Market Size, By Applications, By Value (USD Million), 2019-2030
- Table 25 West India AI in Agriculture Market Size, By End User, By Value (USD Million), 2019-2030
- Table 26 West India AI in Agriculture Market Size, By Country, By Value (USD Million), 2019-2030
- Table 27 Microsoft Corporation Company Overview
- Table 28 Microsoft Corporation Financial Overview
- Table 29 IBM Company Overview
- Table 30 IBM Financial Overview
- Table 31 Granular India Limited Company Overview
- Table 32 Granular India Limited Financial Overview
- Table 33 John Deer India Private Limited Company Overview
- Table 34 John Deer India Private Limited Financial Overview
- Table 35 Fasal Farming Private Limited Company Overview
- Table 36 Fasal Farming Private Limited Financial Overview
- Table 37 Agrostar Company Overview
- Table 38 Agrostar Financial Overview
- Table 39 Cropin Company Overview
- Table 40 Cropin Financial Overview
- Table 41 Intello Labs Company Overview
- Table 42 Intello Labs Financial Overview
- Table 43 Carbon Robotics Company Overview
- Table 44 Carbon Robotics Financial Overview
- Table 45 Aibono Company Overview
- Table 46 Aibono Financial Overview
