Summary

India AI in agriculture market is expected to grow at a formidable rate during the forecast period. The India AI in agriculture market is driven by the growing demand for agricultural production. Additionally, increasing adoption of advanced technologies such as precision agriculture, smart plantation systems, hydroponics, among others in the agriculture industry are further expected to propel the demand for AI in agriculture during forecast period. Furthermore, increasing investments by the major players is anticipated to foster the market through 2025.

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 machine learning technology segment holds the largest market share owing to the rising deployment of information technology (IT) in agriculture applications such as field conditions management, crop management, livestock management, among others. Based on offering, the market can be categorized into hardware, software and AI-as-a-service. The software segment is expected to dominate the market during forecast period. This can be accredited to the integration of mobile technologies with farming techniques, growing use of artificial intelligence software to improve farm efficiency, and rising demand for real-time data management systems.

Major players operating in the India AI in agriculture market include IBM Corporation, John Deere India Private ltd, Microsoft Corporation, Intel, SatSure, Fasal, Aibono, Gobasco, Cropin, Intello Labs and others.
Years considered for this report:
Historical Years: 2015-2018
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2021–2025
Objective of the Study:
• To analyze and forecast the market size of India AI in agriculture market.
• To classify and forecast India AI in agriculture market based on technology, offering, application, company and regional distribution.
• To identify drivers and challenges for India AI in agriculture market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in India AI in agriculture market.
• To identify and analyze the profile of leading players operating in India AI in agriculture market.


TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the country. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the country.
TechSci Research calculated the market size of India AI in agriculture market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:
• AI in agriculture service providers, vendors and other stakeholders
• Government bodies such as regulating authorities and policy makers
• Organizations, forums and alliances related to AI in agriculture
• Market research and consulting firms
The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, vendors, partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
Report Scope:
In this report, India AI in agriculture market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
• Market, By Technology:
o Machine Learning
o Predictive Analytics
o Computer Vision
• Market, By Offering:
o Hardware
o Software
o AI-As-A-Service
• Market, By Application:
o Precision Farming
o Livestock Monitoring
o Others
• Regions:
o North
o South
o East
o West

Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in India AI in agriculture market.
Available Customizations:
With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:
Company Information
• Detailed analysis and profiling of additional market players (up to five).

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Table of Contents

1. Product Overview
2. Research Methodology
3. Impact of COVID-19 on India AI in Agriculture Market
4. Executive Summary
5. Voice of Customer
6. India AI in Agriculture Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Technology (Machine Learning, Predictive Analytics and Computer Vision)
6.2.2. By Offering (Hardware, Software and AI-As-A-Service)
6.2.3. By Application (Precision Farming, Livestock Monitoring, Others)
6.2.4. By Region (East; West; North; South)
6.2.5. By Company (2019)
6.3. Product Market Map
7. North India AI in Agriculture Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Technology
7.2.2. By Offering
7.2.3. By Application
8. South India AI in Agriculture Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Technology
8.2.2. By Offering
8.2.3. By Application
9. East India AI in Agriculture Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Technology
9.2.2. By Offering
9.2.3. By Application
10. West India AI in Agriculture Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Technology
10.2.2. By Offering
10.2.3. By Application
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
13. Policy & Regulatory Landscape
14. India Economic Profile
15. Competitive Landscape
15.1. Competition Outlook
15.2. Company Profiles
15.2.1. IBM Corporation
15.2.2. John Deere India Private ltd
15.2.3. Microsoft Corporation
15.2.4. Intel
15.2.5. SatSure
15.2.6. Fasal
15.2.7. Aibono
15.2.8. Gobasco
15.2.9. Cropin
15.2.10. Intello Labs
16. Strategic Recommendations
17. About Us & Disclaimer
(Note: The companies list can be customized based on the client requirements)