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India Ai In Agriculture Market

India Ai In Agriculture Market

India AI In Agriculture Market, 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) Trend Analysis, Competitive Market Share & Forecast, 2018-2028

  • Published Date: May 2022
  • Report ID: BWC22160
  • Available Format: PDF
  • Page: 113

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

Attributes Details
Years Considered Historical data – 2018-2021
Base Year – 2021
Forecast – 2022 – 2028
Facts Covered Revenue in USD Billion
Market Coverage North India, South India, East India, and West India
Product Service/Segmentation By Technology, By Offering, By Application, By Region
Key Players 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.

 

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
  1. Research Framework
    1. Research Objective
    2. Offering of Insurance Provider Overview
    3. Market Segmentation
  2. Research Methodology
    1. Qualitative Research
      1. Primary & Secondary Research
    2. Quantitative Research
    3. Market Breakdown & Data Triangulation
      1. Secondary Research
      2. Primary Research
    4. Breakdown of Primary Research Respondents, By Region
    5. Assumption & Limitation
  3. Executive Summary
  4. India AI in Agriculture Market Insights
    1. Industry Value Chain Analysis
    2. DROC Analysis
      1. Growth Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
    3. Technological Landscape/Recent Development
    4. Regulatory Framework
    5. Porter’s Five Forces Analysis
      1. Bargaining Power of Suppliers
      2. Bargaining Power of Buyers
      3. Threat of New Entrants
      4. Threat of Substitutes
      5. Intensity of Rivalry
  5. India AI in Agriculture Market Overview
    1. Market Size & Forecast by Value, 2018-2028
      1. By Value (USD Million)
    2. Market Share & Forecast
      1. By Technology
        1. Machine Learning
        2. Predictive Analytics
        3. Computer Vision
      2. By Offering
        1. Hardware
        2. Software
        3. AI-As-A-Service
      3. By Application
        1. Precision Farming
        2. Livestock Monitoring
        3. Others
      4. By Region
        1. Northern India
        2. Southern India
        3. Eastern India
        4. Western India
  6. Competitive Landscape
    1. List of Key Players and Their Offering of Insurance Providers
    2. Market Share Analysis, 2021
    3. Competitive Benchmarking, By Operating Parameters
    4. Key Strategic Development (Merger, Acquisition, Partnership.)
  7. Impact of COVID-19 on India AI in Agriculture Market Industry
  8. Company Profile (Company Overview, Financial Matrix, Competitive landscape, Key Personnel, Key Competitors, Contact Address, and Strategic Outlook) **
    1. IBM Corporation
    2. John Deere India Private ltd
    3. Microsoft Corporation
    4. Intel Corp
    5. SatSure
    6. Fasal
    7. Aibono
    8. Gobasco
    9. Cropin
    10. Intello Labs
    11. Other Prominent Players
  9. Key Strategic Recommendations

 

List of Figures

 

Figure 1        India AI in Agriculture Health Insurance Segmentation

Figure 2        India AI in Agriculture Health Insurance Market Value Chain Analysis

Figure 3        Porter’s Five Forces Analysis

Figure 4        PESTEL Analysis

Figure 5        India AI in Agriculture Health Insurance Market Size, By Value (USD Million), 2018-2028

Figure 6        India AI in Agriculture Health Insurance Market Share, By Technology, By Value, 2018-2028

Figure 7        India AI in Agriculture Health Insurance Market Share, By Offering, By Value, 2018-2028

Figure 8        India AI in Agriculture Health Insurance Market Share, By Application, By Value, 2018-2028

Figure 10       India AI in Agriculture Health Insurance Market Share, By Region, By Value, 2018-2028

Figure 11       Market Share Analysis, 2021

 

List of Tables

 

Table 1         India AI in Agriculture Health Insurance Market Size, By Technology, By Value, 2018-2028

Table 2         India AI in Agriculture Health Insurance Market Size, By Offering, By Value, 2018-2028

Table 3         India AI in Agriculture Health Insurance Market Size, By End User Industry, By Value, 2018-2028

Table 4         India AI in Agriculture Health Insurance Market Size, By Region, By Value, 2018-2028

Table 5         Key Players and Their Offerings

Table 6         Competitive Benchmarking, By Operating Parameters

Table 7         Merger Acquisition, Partnership, Joint-Ventures etc

Table 8         IBM Corporation Company Overview

Table 9         IBM Corporation Financial Overview

Table 10        John Deere India Private ltd Company Overview

Table 11        John Deere India Private ltd Financial Overview

Table 12        Microsoft Corporation Company Overview

Table 13        Microsoft Corporation Financial Overview

Table 14        Intel Corp Company Overview

Table 15        Intel Corp Financial Overview

Table 16        SatSure Company Overview

Table 17        SatSure Financial Overview

Table 18        Fasal Company Overview

Table 19        Fasal Financial Overview

Table 20        Aibono Company Overview

Table 21        Aibono Financial Overview

Table 22        Gobasco Company Overview

Table 23        Gobasco Financial Overview

Table 24        Cropin Company Overview

Table 25        Cropin Financial Overview

Table 25        Intello Labs Company Profile

Table 26        Intello Labs Financial Overview

Market Segmentation

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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