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 Rob
Description
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
India AI in Agriculture Market to Grow at 24% through 2028
India AI in agriculture market is growing at a high CAGR because of the adoption of advanced data-generating technologies, such as sensors and machine learning to boost crop output and aid in the detection of disease and inadequate nutrition in plants and farms…
A recent study conducted by the strategic consulting and market research firm, BlueWeave Consulting, revealed that the India AI in agriculture market is estimated to grow at a CAGR of 24% during the forecast period 2022-2028. The market is growing at a rapid pace as more advanced data-generating technologies, such as sensors and machine learning, are being adopted to boost crop output and aid in the detection of disease and inadequate nutrition in plants and farms. However, lack of awareness and funding for AI among Indian farmers and high installation costs may act as a huge restraining factor for India AI in agriculture market growth.
Increasing Adoption of Advanced Technologies is Driving India AI in Agriculture Market
The increased usage of IoT and other modern technologies such as machine learning, cloud computing, and so on is another important reason propelling AI in India's agriculture business. With the increased usage of mobile devices and cloud computing, India's IoT business is developing. IoT's various benefits, such as the capacity to manage vast volumes of structured and unstructured data formats, are driving IoT demand in the agriculture industry.
Expanding Infrastructure and Technology Infrastructure in India is Propelling AI In Agriculture Market
The AI in agriculture will require cloud computing to record and share data among various systems. India is significantly emerging as a leading cloud service provider globally with an increasing number of cloud data centers in different parts of the world. The cloud computing companies and startups are offering SaaS (Software-as-a-Service) as well as PaaS (Platform-as-a-Service) along with private, public as well as hybrid deployment modes. This is anticipated to boost the adoption of AI in agriculture in India.
India AI in Agriculture Market - By Agriculture
Based on agriculture, the India AI in agriculture market is segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, labor management, and others. Precision farming holds the largest share in the market owing to the rising focus towards yielding the benefits of this type of agricultural practice. Precision farming helps in improving agricultural productivity through the use of sensors and data along with prompts the reduction of chemical use and efficient management of water resources.
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. Because agriculture is the primary source of income for the majority of people in this region, North India has the greatest share of AI in the agricultural market. The governments of states in these regions, such as Uttar Pradesh, Haryana, Punjab, and others, are adopting different measures and providing subsidies to encourage the use of new technologies like AI, hence boosting the overall market growth.
Impact of COVID-19 on India AI in Agriculture Market
The unprecedented COVID-19 epidemic hindered India's AI in agricultural sector expansion. Due to the overwhelming number of COVID-19 cases, the Indian government was forced to implement a nationwide lockdown, which also interrupted agricultural activity. Due to a disruption in the distribution and supply chain, there was a scarcity of sensors and other AI components, which had a detrimental influence on the market. In addition, production constraints and a lack of semiconductor chips caused significant obstacles for India AI in agriculture industry.
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 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.
Don’t miss the business opportunity of the India AI in the agriculture market. Consult our analysts to gain crucial insights and facilitate your business growth.
The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of the India AI in agriculture market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends of India AI in agriculture market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.
About Us
BlueWeave Consulting provides comprehensive Market Intelligence (MI) Solutions to businesses regarding various products and services online and offline. We offer all-inclusive market research reports by analyzing both qualitative and quantitative data to boost the performance of your business solutions. BWC has built its reputation from the scratch by delivering quality inputs and nourishing long-lasting relationships with its clients. We are one of the promising digital MI solutions companies providing agile assistance to make your business endeavors successful.
India AI in Agriculture Market to Grow at 24% through 2028
India AI in agriculture market is growing at a high CAGR because of the adoption of advanced data-generating technologies, such as sensors and machine learning to boost crop output and aid in the detection of disease and inadequate nutrition in plants and farms…
A recent study conducted by the strategic consulting and market research firm, BlueWeave Consulting, revealed that the India AI in agriculture market is estimated to grow at a CAGR of 24% during the forecast period 2022-2028. The market is growing at a rapid pace as more advanced data-generating technologies, such as sensors and machine learning, are being adopted to boost crop output and aid in the detection of disease and inadequate nutrition in plants and farms. However, lack of awareness and funding for AI among Indian farmers and high installation costs may act as a huge restraining factor for India AI in agriculture market growth.
Increasing Adoption of Advanced Technologies is Driving India AI in Agriculture Market
The increased usage of IoT and other modern technologies such as machine learning, cloud computing, and so on is another important reason propelling AI in India's agriculture business. With the increased usage of mobile devices and cloud computing, India's IoT business is developing. IoT's various benefits, such as the capacity to manage vast volumes of structured and unstructured data formats, are driving IoT demand in the agriculture industry.
Expanding Infrastructure and Technology Infrastructure in India is Propelling AI In Agriculture Market
The AI in agriculture will require cloud computing to record and share data among various systems. India is significantly emerging as a leading cloud service provider globally with an increasing number of cloud data centers in different parts of the world. The cloud computing companies and startups are offering SaaS (Software-as-a-Service) as well as PaaS (Platform-as-a-Service) along with private, public as well as hybrid deployment modes. This is anticipated to boost the adoption of AI in agriculture in India.
India AI in Agriculture Market - By Agriculture
Based on agriculture, the India AI in agriculture market is segmented into precision farming, livestock monitoring, drone analytics, agriculture robots, labor management, and others. Precision farming holds the largest share in the market owing to the rising focus towards yielding the benefits of this type of agricultural practice. Precision farming helps in improving agricultural productivity through the use of sensors and data along with prompts the reduction of chemical use and efficient management of water resources.
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. Because agriculture is the primary source of income for the majority of people in this region, North India has the greatest share of AI in the agricultural market. The governments of states in these regions, such as Uttar Pradesh, Haryana, Punjab, and others, are adopting different measures and providing subsidies to encourage the use of new technologies like AI, hence boosting the overall market growth.
Impact of COVID-19 on India AI in Agriculture Market
The unprecedented COVID-19 epidemic hindered India's AI in agricultural sector expansion. Due to the overwhelming number of COVID-19 cases, the Indian government was forced to implement a nationwide lockdown, which also interrupted agricultural activity. Due to a disruption in the distribution and supply chain, there was a scarcity of sensors and other AI components, which had a detrimental influence on the market. In addition, production constraints and a lack of semiconductor chips caused significant obstacles for India AI in agriculture industry.
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 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.
Don’t miss the business opportunity of the India AI in the agriculture market. Consult our analysts to gain crucial insights and facilitate your business growth.
The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of the India AI in agriculture market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends of India AI in agriculture market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.
About Us
BlueWeave Consulting provides comprehensive Market Intelligence (MI) Solutions to businesses regarding various products and services online and offline. We offer all-inclusive market research reports by analyzing both qualitative and quantitative data to boost the performance of your business solutions. BWC has built its reputation from the scratch by delivering quality inputs and nourishing long-lasting relationships with its clients. We are one of the promising digital MI solutions companies providing agile assistance to make your business endeavors successful.
Table of Contents
113 Pages
- 1. Research Framework
- 1.1. Research Objective
- 1.2. Offering of Insurance Provider Overview
- 1.3. Market Segmentation
- 2. Research Methodology
- 2.1. Qualitative Research
- 2.1.1. Primary & Secondary Research
- 2.2. Quantitative Research
- 2.3. Market Breakdown & Data Triangulation
- 2.3.1. Secondary Research
- 2.3.2. Primary Research
- 2.4. Breakdown of Primary Research Respondents, By Region
- 2.5. Assumption & Limitation
- 3. Executive Summary
- 4. India AI in Agriculture Market Insights
- 4.1. Industry Value Chain Analysis
- 4.2. DROC Analysis
- 4.2.1. Growth Drivers
- 4.2.2. Restraints
- 4.2.3. Opportunities
- 4.2.4. Challenges
- 4.3. Technological Landscape/Recent Development
- 4.4. Regulatory Framework
- 4.5. Porter’s Five Forces Analysis
- 4.5.1. Bargaining Power of Suppliers
- 4.5.2. Bargaining Power of Buyers
- 4.5.3. Threat of New Entrants
- 4.5.4. Threat of Substitutes
- 4.5.5. Intensity of Rivalry
- 5. India AI in Agriculture Market Overview
- 5.1. Market Size & Forecast by Value, 2018-2028
- 5.1.1. By Value (USD Million)
- 5.2. Market Share & Forecast
- 5.2.1. By Technology
- 5.2.1.1. Machine Learning
- 5.2.1.2. Predictive Analytics
- 5.2.1.3. Computer Vision
- 5.2.2. By Offering
- 5.2.2.1. Hardware
- 5.2.2.2. Software
- 5.2.2.3. AI-As-A-Service
- 5.2.3. By Application
- 5.2.3.1. Precision Farming
- 5.2.3.2. Livestock Monitoring
- 5.2.3.3. Others
- 5.2.4. By Region
- 5.2.4.1. Northern India
- 5.2.4.2. Southern India
- 5.2.4.3. Eastern India
- 5.2.4.4. Western India
- 6. Competitive Landscape
- 6.1. List of Key Players and Their Offering of Insurance Providers
- 6.2. Market Share Analysis, 2021
- 6.3. Competitive Benchmarking, By Operating Parameters
- 6.4. 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) **
- 8.1. IBM Corporation
- 8.2. John Deere India Private ltd
- 8.3. Microsoft Corporation
- 8.4. Intel Corp
- 8.5. SatSure
- 8.6. Fasal
- 8.7. Aibono
- 8.8. Gobasco
- 8.9. Cropin
- 8.10. Intello Labs
- 8.11. 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
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