Applied AI In Agriculture Market Global Report 2026
Description
Applied AI In Agriculture Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses applied ai in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase
Where is the largest and fastest growing market for applied ai in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The applied ai in agriculture market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
Markets Covered:1) By Component: Hardware; Software; Service
2) By Technology: Machine Learning And Deep Learning; Predictive Analytics; Computer Vision
3) By Application: Precision Farming; Drone Analytics; Agriculture Robots; Livestock Monitoring; Other Applications
Subsegments:
1) By Hardware: Sensors (Soil, Climate, Crop Monitoring); Drones For Crop Surveillance; Automated Tractors And Harvesters; GPS & GIS Systems For Precision Farming; Imaging Systems; IoT Devices For Agricultural Monitoring; Robotics For Seeding, Planting, And Weeding
2) By Software: Farm Management Software; AI-Based Crop Prediction Software; Precision Agriculture Software; Irrigation Management Software; Pest And Disease Detection Software; Data Analytics And Visualization Tools; Supply Chain Optimization Software; Machine Learning Algorithms For Yield Prediction
3) By Service: AI Integration And Implementation Services; Data Analytics Services For Crop And Soil Analysis; Cloud-Based Agricultural Services; AI Model Training And Customization Services; Maintenance And Support Services; Consultation And Advisory Services For AI Adoption In Agriculture
Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company; SAP SE; CNH Industrial N.V.; Kubota Corporation; Corteva Inc.; AGCO Corporation; Trimble Inc.; Raven Industries Inc.; The Climate Corporation; AG Leader Technology; The BAE Systems Taranis; Farmers Edge Inc.; PrecisionHawk; AgEagle Aerial Systems; Descartes Labs Inc.; Prospera Technologies Ltd.; Agribotix; Gamaya
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Please Note: Report will be updated with the latest data and delivered to you within 3-5 working days of order.
This report focuses applied ai in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Where is the largest and fastest growing market for applied ai in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The applied ai in agriculture market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Markets Covered:1) By Component: Hardware; Software; Service
2) By Technology: Machine Learning And Deep Learning; Predictive Analytics; Computer Vision
3) By Application: Precision Farming; Drone Analytics; Agriculture Robots; Livestock Monitoring; Other Applications
Subsegments:
1) By Hardware: Sensors (Soil, Climate, Crop Monitoring); Drones For Crop Surveillance; Automated Tractors And Harvesters; GPS & GIS Systems For Precision Farming; Imaging Systems; IoT Devices For Agricultural Monitoring; Robotics For Seeding, Planting, And Weeding
2) By Software: Farm Management Software; AI-Based Crop Prediction Software; Precision Agriculture Software; Irrigation Management Software; Pest And Disease Detection Software; Data Analytics And Visualization Tools; Supply Chain Optimization Software; Machine Learning Algorithms For Yield Prediction
3) By Service: AI Integration And Implementation Services; Data Analytics Services For Crop And Soil Analysis; Cloud-Based Agricultural Services; AI Model Training And Customization Services; Maintenance And Support Services; Consultation And Advisory Services For AI Adoption In Agriculture
Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company; SAP SE; CNH Industrial N.V.; Kubota Corporation; Corteva Inc.; AGCO Corporation; Trimble Inc.; Raven Industries Inc.; The Climate Corporation; AG Leader Technology; The BAE Systems Taranis; Farmers Edge Inc.; PrecisionHawk; AgEagle Aerial Systems; Descartes Labs Inc.; Prospera Technologies Ltd.; Agribotix; Gamaya
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Please Note: Report will be updated with the latest data and delivered to you within 3-5 working days of order.
Table of Contents
250 Pages
- 1. Executive Summary
- 1.1. Key Market Insights (2020-2035)
- 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
- 1.3. Major Factors Driving the Market
- 1.4. Top Three Trends Shaping the Market
- 2. Applied AI In Agriculture Market Characteristics
- 2.1. Market Definition & Scope
- 2.2. Market Segmentations
- 2.3. Overview of Key Products and Services
- 2.4. Global Applied AI In Agriculture Market Attractiveness Scoring And Analysis
- 2.4.1. Overview of Market Attractiveness Framework
- 2.4.2. Quantitative Scoring Methodology
- 2.4.3. Factor-Wise Evaluation
- Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
- 2.4.4. Market Attractiveness Scoring and Interpretation
- 2.4.5. Strategic Implications and Recommendations
- 3. Applied AI In Agriculture Market Supply Chain Analysis
- 3.1. Overview of the Supply Chain and Ecosystem
- 3.2. List Of Key Raw Materials, Resources & Suppliers
- 3.3. List Of Major Distributors and Channel Partners
- 3.4. List Of Major End Users
- 4. Global Applied AI In Agriculture Market Trends And Strategies
- 4.1. Key Technologies & Future Trends
- 4.1.1 Artificial Intelligence & Autonomous Intelligence
- 4.1.2 Industry 4.0 & Intelligent Manufacturing
- 4.1.3 Internet Of Things (IoT), Smart Infrastructure & Connected Ecosystems
- 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
- 4.1.5 Autonomous Systems, Robotics & Smart Mobility
- 4.2. Major Trends
- 4.2.1 Growing Adoption Of AI-Based Crop And Soil Health Assessment
- 4.2.2 Expansion Of Data-Driven Farm Decision-Making Practices
- 4.2.3 Rising Integration Of Automation In Large-Scale Farming Operations
- 4.2.4 Increasing Demand For Real-Time Agricultural Monitoring Solutions
- 4.2.5 Greater Focus On AI-Supported Yield Enhancement Techniques
- 5. Applied AI In Agriculture Market Analysis Of End Use Industries
- 5.1 Farmers And Growers
- 5.2 Agricultural Cooperatives
- 5.3 Agri-Tech Companies
- 5.4 Food And Beverage Producers
- 5.5 Research And Academic Institutions
- 6. Applied AI In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market
- 7. Global Applied AI In Agriculture Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis
- 7.1. Global Applied AI In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
- 7.2. Global Applied AI In Agriculture Market Size, Comparisons And Growth Rate Analysis
- 7.3. Global Applied AI In Agriculture Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
- 7.4. Global Applied AI In Agriculture Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)
- 8. Global Applied AI In Agriculture Total Addressable Market (TAM) Analysis for the Market
- 8.1. Definition and Scope of Total Addressable Market (TAM)
- 8.2. Methodology and Assumptions
- 8.3. Global Total Addressable Market (TAM) Estimation
- 8.4. TAM vs. Current Market Size Analysis
- 8.5. Strategic Insights and Growth Opportunities from TAM Analysis
- 9. Applied AI In Agriculture Market Segmentation
- 9.1. Global Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- Hardware, Software, Service
- 9.2. Global Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- Machine Learning And Deep Learning, Predictive Analytics, Computer Vision
- 9.3. Global Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Other Applications
- 9.4. Global Applied AI In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- Sensors (Soil, Climate, Crop Monitoring), Drones For Crop Surveillance, Automated Tractors And Harvesters, GPS & GIS Systems For Precision Farming, Imaging Systems, IoT Devices For Agricultural Monitoring, Robotics For Seeding, Planting, And Weeding
- 9.5. Global Applied AI In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- Farm Management Software, AI-Based Crop Prediction Software, Precision Agriculture Software, Irrigation Management Software, Pest And Disease Detection Software, Data Analytics And Visualization Tools, Supply Chain Optimization Software, Machine Learning Algorithms For Yield Prediction
- 9.6. Global Applied AI In Agriculture Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- AI Integration And Implementation Services, Data Analytics Services For Crop And Soil Analysis, Cloud-Based Agricultural Services, AI Model Training And Customization Services, Maintenance And Support Services, Consultation And Advisory Services For AI Adoption In Agriculture
- 10. Applied AI In Agriculture Market Regional And Country Analysis
- 10.1. Global Applied AI In Agriculture Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 10.2. Global Applied AI In Agriculture Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 11. Asia-Pacific Applied AI In Agriculture Market
- 11.1. Asia-Pacific Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 11.2. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 12. China Applied AI In Agriculture Market
- 12.1. China Applied AI In Agriculture Market Overview
- Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 12.2. China Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 13. India Applied AI In Agriculture Market
- 13.1. India Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 14. Japan Applied AI In Agriculture Market
- 14.1. Japan Applied AI In Agriculture Market Overview
- Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 14.2. Japan Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 15. Australia Applied AI In Agriculture Market
- 15.1. Australia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 16. Indonesia Applied AI In Agriculture Market
- 16.1. Indonesia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 17. South Korea Applied AI In Agriculture Market
- 17.1. South Korea Applied AI In Agriculture Market Overview
- Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 17.2. South Korea Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 18. Taiwan Applied AI In Agriculture Market
- 18.1. Taiwan Applied AI In Agriculture Market Overview
- Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 18.2. Taiwan Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 19. South East Asia Applied AI In Agriculture Market
- 19.1. South East Asia Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 19.2. South East Asia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 20. Western Europe Applied AI In Agriculture Market
- 20.1. Western Europe Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 20.2. Western Europe Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 21. UK Applied AI In Agriculture Market
- 21.1. UK Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 22. Germany Applied AI In Agriculture Market
- 22.1. Germany Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 23. France Applied AI In Agriculture Market
- 23.1. France Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 24. Italy Applied AI In Agriculture Market
- 24.1. Italy Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 25. Spain Applied AI In Agriculture Market
- 25.1. Spain Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 26. Eastern Europe Applied AI In Agriculture Market
- 26.1. Eastern Europe Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 26.2. Eastern Europe Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 27. Russia Applied AI In Agriculture Market
- 27.1. Russia Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 28. North America Applied AI In Agriculture Market
- 28.1. North America Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 28.2. North America Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 29. USA Applied AI In Agriculture Market
- 29.1. USA Applied AI In Agriculture Market Overview
- Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 29.2. USA Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 30. Canada Applied AI In Agriculture Market
- 30.1. Canada Applied AI In Agriculture Market Overview
- Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 30.2. Canada Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 31. South America Applied AI In Agriculture Market
- 31.1. South America Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 31.2. South America Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 32. Brazil Applied AI In Agriculture Market
- 32.1. Brazil Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 33. Middle East Applied AI In Agriculture Market
- 33.1. Middle East Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 33.2. Middle East Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 34. Africa Applied AI In Agriculture Market
- 34.1. Africa Applied AI In Agriculture Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 34.2. Africa Applied AI In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
- 35. Applied AI In Agriculture Market Regulatory and Investment Landscape
- 36. Applied AI In Agriculture Market Competitive Landscape And Company Profiles
- 36.1. Applied AI In Agriculture Market Competitive Landscape And Market Share 2024
- 36.1.1. Top 10 Companies (Ranked by revenue/share)
- 36.2. Applied AI In Agriculture Market - Company Scoring Matrix
- 36.2.1. Market Revenues
- 36.2.2. Product Innovation Score
- 36.2.3. Brand Recognition
- 36.3. Applied AI In Agriculture Market Company Profiles
- 36.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
- 36.3.2. BASF SE Overview, Products and Services, Strategy and Financial Analysis
- 36.3.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
- 36.3.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
- 36.3.5. Deere & Company Overview, Products and Services, Strategy and Financial Analysis
- 37. Applied AI In Agriculture Market Other Major And Innovative Companies
- SAP SE, CNH Industrial N.V., Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd.
- 38. Global Applied AI In Agriculture Market Competitive Benchmarking And Dashboard
- 39. Key Mergers And Acquisitions In The Applied AI In Agriculture Market
- 40. Applied AI In Agriculture Market High Potential Countries, Segments and Strategies
- 40.1 Applied AI In Agriculture Market In 2030 - Countries Offering Most New Opportunities
- 40.2 Applied AI In Agriculture Market In 2030 - Segments Offering Most New Opportunities
- 40.3 Applied AI In Agriculture Market In 2030 - Growth Strategies
- 40.3.1 Market Trend Based Strategies
- 40.3.2 Competitor Strategies
- 41. Appendix
- 41.1. Abbreviations
- 41.2. Currencies
- 41.3. Historic And Forecast Inflation Rates
- 41.4. Research Inquiries
- 41.5. The Business Research Company
- 41.6. Copyright And Disclaimer
Pricing
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