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US AI in Agriculture Market Size study, by Application (Weather Tracking, Precision Farming, Drone Analytics) By Deployment (Cloud, On-premise, Hybrid) Forecasts 2022-2032

June 2024 | 200 pages | ID: U4E67C4B8993EN
Bizwit Research & Consulting LLP

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US AI in Agriculture Market is valued approximately at USD 582.237 million in 2023 and is anticipated to grow with a healthy growth rate of more than 26.21% over the forecast period 2024-2032. AI in Agriculture encompasses the use of advanced technologies such as machine learning algorithms, computer vision, robotics, and other AI tools to revolutionize farming practices. This integration aims to optimize crop production, enhance resource management, monitor crop health, automate various tasks, and enable data-driven decision-making. Through leveraging artificial technology the agricultural sector seeks to boost efficiency, productivity, and sustainability, while also reducing costs and minimizing environmental impact. Furthermore, rising emergence of Agri-tech startups is gaining attention towards US AI in Agriculture Market. Agri-tech startups brought innovative solutions to the agricultural sector, leveraging cutting-edge technologies such as AI, machine learning, IoT, and robotics. These startups are disrupting traditional farming practices by introducing novel approaches to crop monitoring, precision agriculture, supply chain management, and sustainability

The US AI in Agriculture Market is driven by rising demand for precision farming techniques and increasing adoption of AI technologies to enhance agricultural productivity across the region. Precision farming techniques help farmers monitor crop health and growth more accurately, enabling timely interventions to address issues such as nutrient deficiencies, pest infestations, and disease outbreaks. AI-powered analytics process data from sensors, drones, and satellites to provide insights into crop performance, enabling farmers to make informed decisions to enhance yield and quality. In addition, AI technologies enable data-driven decision-making in agriculture by processing and analyzing large volumes of data to extract actionable insights. However, high deployment cost of AI in Agriculture and lack of standardization in data collection is going to impede the overall demand for the market during the forecast period 2024-2032.


Major market player included in this report are:
Microsoft Corporation
International Business Machines Corporation
Granular Inc
aWhere Inc
PrecisionHawk Inc
Company 6
Company 7
Company 8
Company 9
Company 10

The detailed segments and sub-segment of the market are explained below:

By Application
Weather Tracking
Precision Farming
Drone Analytics

By Deployment
Cloud
On-premise
Hybrid

Years considered for the study are as follows:
Historical year – 2022
Base year – 2023
Forecast period – 2024 to 2032

Key Takeaways:
Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and Country level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.
CHAPTER 1. US AI IN AGRICULTURE MARKET DEFINITION AND RESEARCH ASSUMPTIONS

1.1. Research Objective
1.2. Market Definition
1.3. Research Assumptions
  1.3.1. Inclusion & Exclusion
  1.3.2. Limitations
  1.3.3. Supply Side Analysis
    1.3.3.1. Availability
    1.3.3.2. Infrastructure
    1.3.3.3. Regulatory Environment
    1.3.3.4. Market Competition
    1.3.3.5. Economic Viability (Consumer’s Perspective)
  1.3.4. Demand Side Analysis
    1.3.4.1. Regulatory frameworks
    1.3.4.2. Technological Advancements
    1.3.4.3. Environmental Considerations
    1.3.4.4. Consumer Awareness & Acceptance
1.4. Estimation Methodology
1.5. Years Considered for the Study
1.6. Currency Conversion Rates

CHAPTER 2. EXECUTIVE SUMMARY

2.1. US AI in Agriculture Market Size & Forecast (2022- 2032)
2.2. Segmental Summary
  2.2.1. By Application
  2.2.2. By Deployment
2.3. Key Trends
2.4. Recession Impact
2.5. Analyst Recommendation & Conclusion

CHAPTER 3. US AI IN AGRICULTURE MARKET DYNAMICS

3.1. Market Drivers
3.2. Market Challenges
3.3. Market Opportunities

CHAPTER 4. US AI IN AGRICULTURE MARKET INDUSTRY ANALYSIS

4.1. Porter’s 5 Force Model
  4.1.1. Bargaining Power of Suppliers
  4.1.2. Bargaining Power of Buyers
  4.1.3. Threat of New Entrants
  4.1.4. Threat of Substitutes
  4.1.5. Competitive Rivalry
  4.1.6. Futuristic Approach to Porter’s 5 Force Model
  4.1.7. Porter’s 5 Force Impact Analysis
4.2. PESTEL Analysis
  4.2.1. Political
  4.2.2. Economical
  4.2.3. Social
  4.2.4. Technological
  4.2.5. Environmental
  4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

CHAPTER 5. US AI IN AGRICULTURE MARKET SIZE & FORECASTS BY APPLICATION 2022-2032

5.1. Weather Tracking
5.2. Precision Farming
5.3. Drone Analytics

CHAPTER 6. US AI IN AGRICULTURE MARKET SIZE & FORECASTS BY DEPLOYMENT 2022-2032

6.1. Cloud
6.2. On-premise
6.3. Hybrid

CHAPTER 7. COMPETITIVE INTELLIGENCE

7.1. Key Company SWOT Analysis
  7.1.1. Company
  7.1.2. Company
  7.1.3. Company
7.2. Top Market Strategies
7.3. Company Profiles
  7.3.1. Microsoft Corporation
    7.3.1.1. Key Information
    7.3.1.2. Overview
    7.3.1.3. Financial (Subject to Data Availability)
    7.3.1.4. Product Summary
    7.3.1.5. Market Strategies
  7.3.2. International Business Machines Corporation
  7.3.3. Granular Inc
  7.3.4. aWhere Inc
  7.3.5. PrecisionHawk Inc
  7.3.6. Company
  7.3.7. Company
  7.3.8. Company
  7.3.9. Company
  7.3.10. Company

CHAPTER 8. RESEARCH PROCESS

8.1. Research Process
  8.1.1. Data Mining
  8.1.2. Analysis
  8.1.3. Market Estimation
  8.1.4. Validation
  8.1.5. Publishing
8.2. Research Attributes

LIST OF TABLES

TABLE 1. US AI in Agriculture market, report scope
TABLE 2. US AI in Agriculture market estimates & forecasts by Application 2022-2032 (USD Million)
TABLE 3. US AI in Agriculture market estimates & forecasts by Deployment 2022-2032 (USD Million)
TABLE 4. US AI in Agriculture market by segment, estimates & forecasts, 2022-2032 (USD Million)
TABLE 5. US AI in Agriculture market by segment, estimates & forecasts, 2022-2032 (USD Million)
TABLE 6. US AI in Agriculture market by segment, estimates & forecasts, 2022-2032 (USD Million)
TABLE 7. US AI in Agriculture market by segment, estimates & forecasts, 2022-2032 (USD Million)
TABLE 8. US AI in Agriculture market by segment, estimates & forecasts, 2022-2032 (USD Million)
TABLE 9. U.S. AI in Agriculture market estimates & forecasts, 2022-2032 (USD Million)
TABLE 10. U.S. AI in Agriculture market estimates & forecasts by segment 2022-2032 (USD Million)
TABLE 11. U.S. AI in Agriculture market estimates & forecasts by segment 2022-2032 (USD Million)
TABLE 12. List of secondary sources, used in the study of US AI in Agriculture Market.
TABLE 13. List of primary sources, used in the study of US AI in Agriculture Market.
TABLE 14. Years considered for the study.
TABLE 15. Exchange rates considered.

LIST OF FIGURES

FIG 1. US AI in Agriculture market, research methodology
FIG 2. US AI in Agriculture market, market estimation techniques
FIG 3. US market size estimates & forecast methods.
FIG 4. US AI in Agriculture market, key trends 2023
FIG 5. US AI in Agriculture market, growth prospects 2022-2032
FIG 6. US AI in Agriculture market, porters 5 force model
FIG 7. US AI in Agriculture market, pestel analysis
FIG 8. US AI in Agriculture market, value chain analysis
FIG 9. US AI in Agriculture market by segment, 2022 & 2032 (USD Million)
FIG 10. US AI in Agriculture market by segment, 2022 & 2032 (USD Million)
FIG 11. US AI in Agriculture market by segment, 2022 & 2032 (USD Million)
FIG 12. US AI in Agriculture market by segment, 2022 & 2032 (USD Million)
FIG 13. US AI in Agriculture market by segment, 2022 & 2032 (USD Million)
FIG 14. US AI in Agriculture market, company market share analysis (2023)


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