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India AI in Agriculture Market, By Technology, By Offering (Hardware, Software and AI-As-A-Service), By Application (Precision Farming, Livestock Monitoring, Others), By Region, Competition, Forecast & Opportunities, FY2027

  • ID: 5022607
  • Report
  • September 2021
  • Region: India
  • 111 Pages
  • TechSci Research
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India AI in Agriculture Market is Expected to Grow at a Formidable Rate During the Forecast Period.

FEATURED COMPANIES

  • Aibono
  • Cropin
  • Fasal
  • Gobasco
  • IBM Corporation
  • Intel Corp
Free Webex Call

Speak directly to the analyst to clarify any post sales queries you may have.

10% Free customization

This report comes with 10% free customization, enabling you to add data that meets your specific business needs.

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 FY2027.

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: FY2017-FY2020
  • Base Year:FY2021
  • Estimated Year: FY2022
  • Forecast Period: FY2023-FY2027

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.

The publisher performed both primary as well as exhaustive secondary research for this study. Initially, the publisher sourced a list of service providers across the country. Subsequently, the publisher conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, the publisher could include the service providers which could not be identified due to the limitations of secondary research. The publisher analyzed the service providers, distribution channels and presence of all major players across the country.

The publisher 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. The publisher 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.

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:

India AI in Agriculture Market, By Technology:

  • Machine Learning
  • Predictive Analytics
  • Computer Vision

India AI in Agriculture Market, By Offering:

  • Hardware
  • Software
  • AI-As-A-Service

India AI in Agriculture Market, By Application:

  • Precision Farming
  • Livestock Monitoring
  • Others
  • India AI in Agriculture, By Region:
  • North
  • South
  • East
  • 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, the publisher offers customizations according to a company’s specific needs.

Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Aibono
  • Cropin
  • Fasal
  • Gobasco
  • IBM Corporation
  • Intel Corp
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 (2020)
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 Corp.
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)
Note: Product cover images may vary from those shown

A selection of companies mentioned in this report includes:

  • IBM Corporation
  • John Deere India Private ltd
  • Microsoft Corporation
  • Intel Corp
  • SatSure
  • Fasal
  • Aibono
  • Gobasco
  • Cropin
  • Intello Labs
Note: Product cover images may vary from those shown
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