Machine Learning For Crop Yield Prediction Market Global Report 2026

Published Jan 22, 2026

Length 250 Pages

SKU # BRC20773415

Description

Machine Learning For Crop Yield Prediction 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 machine learning for crop yield prediction 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.

Description:

Where is the largest and fastest growing market for machine learning for crop yield prediction ? 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 machine learning for crop yield prediction 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.

Scope

Markets Covered:1) By Component: Software; Services

2) By Deployment Model: Cloud-Based; On-Premises

3) By Farm Size: Small; Medium; Large

4) By End User: Farmers; Agricultural Cooperatives; Research Institutions; Government Agencies; Other End Users

Subsegments:

1) By Software: Predictive Analytics Software; AI-Powered Crop Monitoring Software; Weather And Climate Data Analytics Software; Remote Sensing And Satellite Imaging Software; Farm Management Software

2) By Services: Consulting And Advisory Services; Implementation And Integration Services; Training And Support Services; Data Analytics And Custom Modeling Services; Cloud-Based Agricultural AI Services

Companies Mentioned: Microsoft Corp.; BASF SE; International Business Machines Corp.; Bayer AG; Raven Industries Inc.; Cropin Technology Solutions Pvt.; Terramera Inc.; FarmWise Labs Inc.; Sentera Inc.; Taranis; Ceres Imaging Inc.; CropX Inc.; PrecisionHawk; Aerobotics Ltd.; Fasal; IUNU Inc.; AgriWebb Pty Ltd.; Trace Genomics Inc.; Bloomfield Robotics; Agrograph Inc.; AiDOOS Corp.; FruitSpec

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.

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. Machine Learning For Crop Yield Prediction Market Characteristics: 2.1. Market Definition & Scope; 2.2. Market Segmentations; 2.3. Overview of Key Products and Services; 2.4. Global Machine Learning For Crop Yield Prediction 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. Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market Trends And Strategies: 4.1. Key Technologies & Future Trends; 4.1.1 Artificial Intelligence & Autonomous Intelligence; 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity; 4.1.3 Internet Of Things (IoT), Smart Infrastructure & Connected Ecosystems; 4.1.4 Industry 4.0 & Intelligent Manufacturing; 4.1.5 Autonomous Systems, Robotics & Smart Mobility; 4.2. Major Trends; 4.2.1 Increasing Use Of Multivariate Environmental Data Inputs; 4.2.2 Growing Integration Of Remote Sensing Into Yield Models; 4.2.3 Expansion Of Real-Time Crop Monitoring Practices; 4.2.4 Rising Adoption Of Data-Driven Farm Decision Frameworks; 4.2.5 Greater Use Of Advanced Soil–Crop Relationship Modeling
5. Machine Learning For Crop Yield Prediction Market Analysis Of End Use Industries: 5.1 Farmers; 5.2 Agricultural Cooperatives; 5.3 Research Institutions; 5.4 Government Agencies; 5.5 Agri-Tech Solution Providers
6. Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis: 7.1. Global Machine Learning For Crop Yield Prediction PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints); 7.2. Global Machine Learning For Crop Yield Prediction Market Size, Comparisons And Growth Rate Analysis; 7.3. Global Machine Learning For Crop Yield Prediction Historic Market Size and Growth, 2020 - 2025, Value ($ Billion); 7.4. Global Machine Learning For Crop Yield Prediction Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)
8. Global Machine Learning For Crop Yield Prediction 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. Machine Learning For Crop Yield Prediction Market Segmentation: 9.1. Global Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Software, Services; 9.2. Global Machine Learning For Crop Yield Prediction Market, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Cloud-Based, On-Premises; 9.3. Global Machine Learning For Crop Yield Prediction Market, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Small, Medium, Large; 9.4. Global Machine Learning For Crop Yield Prediction Market, Segmentation By End User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Farmers, Agricultural Cooperatives, Research Institutions, Government Agencies, Other End Users; 9.5. Global Machine Learning For Crop Yield Prediction Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Predictive Analytics Software, AI-Powered Crop Monitoring Software, Weather And Climate Data Analytics Software, Remote Sensing And Satellite Imaging Software, Farm Management Software; 9.6. Global Machine Learning For Crop Yield Prediction Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; Consulting And Advisory Services, Implementation And Integration Services, Training And Support Services, Data Analytics And Custom Modeling Services, Cloud-Based Agricultural AI Services
10. Machine Learning For Crop Yield Prediction Market Regional And Country Analysis: 10.1. Global Machine Learning For Crop Yield Prediction Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion; 10.2. Global Machine Learning For Crop Yield Prediction Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
11. Asia-Pacific Machine Learning For Crop Yield Prediction Market: 11.1. Asia-Pacific Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
12. China Machine Learning For Crop Yield Prediction Market: 12.1. China Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
13. India Machine Learning For Crop Yield Prediction Market: 13.1. India Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
14. Japan Machine Learning For Crop Yield Prediction Market: 14.1. Japan Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
15. Australia Machine Learning For Crop Yield Prediction Market: 15.1. Australia Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
16. Indonesia Machine Learning For Crop Yield Prediction Market: 16.1. Indonesia Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
17. South Korea Machine Learning For Crop Yield Prediction Market: 17.1. South Korea Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
18. Taiwan Machine Learning For Crop Yield Prediction Market: 18.1. Taiwan Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
19. South East Asia Machine Learning For Crop Yield Prediction Market: 19.1. South East Asia Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
20. Western Europe Machine Learning For Crop Yield Prediction Market: 20.1. Western Europe Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
21. UK Machine Learning For Crop Yield Prediction Market: 21.1. UK Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
22. Germany Machine Learning For Crop Yield Prediction Market: 22.1. Germany Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
23. France Machine Learning For Crop Yield Prediction Market: 23.1. France Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
24. Italy Machine Learning For Crop Yield Prediction Market: 24.1. Italy Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
25. Spain Machine Learning For Crop Yield Prediction Market: 25.1. Spain Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
26. Eastern Europe Machine Learning For Crop Yield Prediction Market: 26.1. Eastern Europe Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
27. Russia Machine Learning For Crop Yield Prediction Market: 27.1. Russia Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
28. North America Machine Learning For Crop Yield Prediction Market: 28.1. North America Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
29. USA Machine Learning For Crop Yield Prediction Market: 29.1. USA Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
30. Canada Machine Learning For Crop Yield Prediction Market: 30.1. Canada Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
31. South America Machine Learning For Crop Yield Prediction Market: 31.1. South America Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
32. Brazil Machine Learning For Crop Yield Prediction Market: 32.1. Brazil Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
33. Middle East Machine Learning For Crop Yield Prediction Market: 33.1. Middle East Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
34. Africa Machine Learning For Crop Yield Prediction Market: 34.1. Africa Machine Learning For Crop Yield Prediction 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 Machine Learning For Crop Yield Prediction Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Farm Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
35. Machine Learning For Crop Yield Prediction Market Regulatory and Investment Landscape
36. Machine Learning For Crop Yield Prediction Market Competitive Landscape And Company Profiles: 36.1. Machine Learning For Crop Yield Prediction Market Competitive Landscape And Market Share 2024; 36.1.1. Top 10 Companies (Ranked by revenue/share); 36.2. Machine Learning For Crop Yield Prediction Market - Company Scoring Matrix; 36.2.1. Market Revenues; 36.2.2. Product Innovation Score; 36.2.3. Brand Recognition; 36.3. Machine Learning For Crop Yield Prediction Market Company Profiles; 36.3.1. Microsoft Corp. 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 Corp. Overview, Products and Services, Strategy and Financial Analysis; 36.3.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis; 36.3.5. Raven Industries Inc. Overview, Products and Services, Strategy and Financial Analysis
37. Machine Learning For Crop Yield Prediction Market Other Major And Innovative Companies: Cropin Technology Solutions Pvt., Terramera Inc., FarmWise Labs Inc., Sentera Inc., Taranis, Ceres Imaging Inc., CropX Inc., PrecisionHawk, Aerobotics Ltd., Fasal, IUNU Inc., AgriWebb Pty Ltd., Trace Genomics Inc., Bloomfield Robotics, Agrograph Inc.
38. Global Machine Learning For Crop Yield Prediction Market Competitive Benchmarking And Dashboard
39. Key Mergers And Acquisitions In The Machine Learning For Crop Yield Prediction Market
40. Machine Learning For Crop Yield Prediction Market High Potential Countries, Segments and Strategies: 40.1 Machine Learning For Crop Yield Prediction Market In 2030 - Countries Offering Most New Opportunities; 40.2 Machine Learning For Crop Yield Prediction Market In 2030 - Segments Offering Most New Opportunities; 40.3 Machine Learning For Crop Yield Prediction 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

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