Crop Yield Prediction Market
PUBLISHED: 2026 ID: SMRC36898
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Crop Yield Prediction Market

Crop Yield Prediction Market Forecasts to 2034 - Global Analysis By Solution Type (Yield Monitoring Solutions, Crop Forecasting Platforms, Field Analytics Solutions, Farm Data Management Solutions and Other Solution Types), Component, Technology, Application, End User, and By Geography

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5.0 (88 reviews)
Published: 2026 ID: SMRC36898

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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According to Stratistics MRC, the Global Crop Yield Prediction Market is accounted for $4.9 billion in 2026 and is expected to reach $17.6 billion by 2034 growing at a CAGR of 17.2% during the forecast period. Crop yield prediction involves the use of data analytics, artificial intelligence, machine learning, and remote sensing technologies to estimate agricultural output before harvest. These systems analyze factors such as soil conditions, weather patterns, crop health, irrigation, and historical productivity data to generate accurate yield forecasts. Yield prediction enables farmers, agribusinesses, and policymakers to improve supply chain planning, risk management, and resource allocation. The technology also supports precision farming by identifying potential productivity issues early in the growing cycle. Growing digitalization in agriculture is accelerating adoption of predictive yield analytics solutions worldwide.

Market Dynamics:

Driver:

Need for production optimization

The agricultural carbon credit market is being propelled by the global push toward carbon neutrality. Governments, corporations, and farmers are increasingly committing to net-zero targets. Sustainable farming practices are being incentivized through carbon credit programs. These credits provide farmers with additional income streams while promoting eco-friendly agriculture. Awareness campaigns are spreading knowledge about the benefits of carbon-neutral farming. Partnerships between agritech firms and carbon trading platforms are expanding rapidly.

Restraint:

Inconsistent agricultural data availability

A major restraint is the limited awareness among farmers about carbon credit opportunities. Many farmers lack knowledge of eligibility criteria and program processes. Complex documentation discourages small-scale farmers from participating. Limited access to advisory services slows adoption in rural regions. Infrastructure gaps hinder smooth integration into carbon markets. Governments and NGOs are working to improve awareness through training and outreach.

Opportunity:

Satellite imagery integration advancements

Blockchain ensures transparency and traceability of carbon credits. Farmers can securely record and verify sustainable practices. Digital platforms simplify participation in carbon markets. Partnerships between blockchain firms and agricultural companies are driving innovation. Affordable blockchain solutions can attract small and mid-sized farms. This opportunity is expected to accelerate growth in carbon credit adoption.

Threat:

Unpredictable climatic condition changes

Fluctuations in global carbon markets reduce predictability for farmers. Price instability discourages long-term investments in sustainable practices. Smaller farmers are particularly vulnerable to market volatility. Regulatory uncertainty adds further challenges. Negative publicity around carbon trading can reduce trust. This volatility creates barriers to mainstream adoption of agricultural carbon credits.

Covid-19 Impact:

Covid-19 had a mixed impact on the agricultural carbon credit market. On one hand, demand rose as sustainability became a priority during the pandemic. Farmers sought alternative income sources through carbon credits. Online platforms supported participation despite restrictions. On the other hand, supply chain disruptions affected verification processes. Economic uncertainty limited investments in advanced sustainability practices. Preventive health awareness increased focus on eco-friendly farming.

The yield monitoring solutions segment is expected to be the largest during the forecast period

The yield monitoring solutions segment is expected to account for the largest market share during the forecast period as farmers increasingly adopt soil management practices to generate credits. Soil carbon credits provide measurable and verifiable outcomes. Governments are supporting soil carbon initiatives through subsidies. Retail penetration of soil carbon programs is strong in developed markets. Farmers prefer soil credits for cost savings and productivity benefits. Agritech firms are investing in soil monitoring technologies.

The weather impact analysis segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the weather impact analysis segment is predicted to witness the highest growth rate due to rising demand for long-term carbon storage solutions. Sequestration practices enhance soil health and resilience. Farmers benefit from improved crop yields alongside carbon credits. Younger demographics are adopting regenerative farming practices rapidly. Digital platforms promote awareness of sequestration benefits. Governments are supporting sequestration through climate policies.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share owing to strong consumer awareness and advanced sustainability frameworks. European markets have established carbon trading systems. Leading agritech firms and research institutions are headquartered in this region. Government initiatives promote carbon-neutral agriculture. Retail penetration of carbon credit programs is strong in countries such as Germany, France, and the UK. Farmers are willing to invest in premium sustainability solutions. Europe will remain the largest contributor to global revenue.
 
Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rising disposable incomes and growing agricultural modernization. Urbanization and food security concerns are fueling demand for carbon credits. Countries such as China, India, and Japan are adopting carbon-neutral farming rapidly. E-commerce platforms support distribution of sustainability solutions. Government subsidies encourage adoption in rural areas. Affordable carbon credit programs appeal to mass farmers. Asia Pacific will be the fastest-growing region globally.

Key players in the market

Some of the key players in Crop Yield Prediction Market include IBM Corporation, Trimble Inc., Deere & Company, Climate LLC, Corteva Agriscience, SAP SE, Hexagon AB, Fujitsu Limited, Planet Labs PBC, Descartes Labs, Inc., Taranis, Prospera Technologies, aWhere, Inc., Granular, Inc. and Ag Leader Technology.

Key Developments:

In May 2026, Planet Labs PBC reported an enhanced data fusion partnership with the ESA to strengthen its advanced "Crop Biomass" tracking architecture. This collaborative effort blends microwave data from Sentinel-1 satellites with PlanetScope’s optical images to build cloud-free daily biomass estimations, allowing agrifood companies to bypass weather disruptions and model upcoming crop yields with unprecedented temporal precision.

In August 2025, Taranis announced an expanded strategic partnership with prominent North American ag retailers to deploy its AI-driven "AcreForward" intelligence platform. This collaborative initiative captures leaf-level leaf imagery via high-speed drones to predict final crop yields, allowing retail agronomists to deliver personalized, real-time input adjustments that safeguard grower profit margins against unexpected pest and nutrient stress.

Solution Types Covered:
• Yield Monitoring Solutions
• Crop Forecasting Platforms
• Field Analytics Solutions
• Farm Data Management Solutions
• Other Solution Types

Components Covered:
• Software
• Hardware
• Services
• Sensors & Imaging Devices
• Other Components

Technologies Covered:
• Artificial Intelligence
• Machine Learning
• Remote Sensing
• Big Data Analytics
• GIS & GPS Technologies
• Other Technologies

Applications Covered:
• Crop Health Monitoring
• Yield Forecasting
• Precision Farming
• Weather Impact Analysis
• Resource Optimization
• Other Applications

End Users Covered:
• Commercial Farms
• Agricultural Enterprises
• Government Agencies
• Research Institutions
• Other End Users

Regions Covered:
• North America
o United States
o Canada
o Mexico
• Europe
o United Kingdom
o Germany
o France
o Italy
o Spain
o Netherlands
o Belgium
o Sweden
o Switzerland
o Poland
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o South Korea
o Australia
o Indonesia
o Thailand
o Malaysia
o Singapore
o Vietnam
o Rest of Asia Pacific   
• South America
o Brazil
o Argentina
o Colombia
o Chile
o Peru
o Rest of South America
• Rest of the World (RoW)
o Middle East
§ Saudi Arabia
§ United Arab Emirates
§ Qatar
§ Israel
§ Rest of Middle East
o Africa
§ South Africa
§ Egypt
§ Morocco
§ Rest of Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary
1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework
2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
2.4.1 Data Collection (Primary and Secondary)
2.4.2 Data Modeling and Estimation Techniques
2.4.3 Data Validation and Triangulation
2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis
3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment
4.1 Porter's Five Forces Analysis
4.1.1 Supplier Bargaining Power
4.1.2 Buyer Bargaining Power
4.1.3 Threat of Substitutes
4.1.4 Threat of New Entrants
4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Crop Yield Prediction Market, By Solution Type
5.1 Yield Monitoring Solutions
5.2 Crop Forecasting Platforms
5.3 Field Analytics Solutions
5.4 Farm Data Management Solutions
5.5 Other Solution Types

6 Global Crop Yield Prediction Market, By Component
6.1 Software
6.2 Hardware
6.3 Services
6.4 Sensors & Imaging Devices
6.5 Other Components

7 Global Crop Yield Prediction Market, By Technology
7.1 Artificial Intelligence
7.2 Machine Learning
7.3 Remote Sensing
7.4 Big Data Analytics
7.5 GIS & GPS Technologies
7.6 Other Technologies

8 Global Crop Yield Prediction Market, By Application
8.1 Crop Health Monitoring
8.2 Yield Forecasting
8.3 Precision Farming
8.4 Weather Impact Analysis
8.5 Resource Optimization
8.6 Other Applications

9 Global Crop Yield Prediction Market, By End User
9.1 Commercial Farms
9.2 Agricultural Enterprises
9.3 Government Agencies
9.4 Research Institutions
9.5 Other End Users

10 Global Crop Yield Prediction Market, By Geography
10.1 North America
10.1.1 United States
10.1.2 Canada
10.1.3 Mexico
10.2 Europe
10.2.1 United Kingdom
10.2.2 Germany
10.2.3 France
10.2.4 Italy
10.2.5 Spain
10.2.6 Netherlands
10.2.7 Belgium
10.2.8 Sweden
10.2.9 Switzerland
10.2.10 Poland
10.2.11 Rest of Europe
10.3 Asia Pacific
10.3.1 China
10.3.2 Japan
10.3.3 India
10.3.4 South Korea
10.3.5 Australia
10.3.6 Indonesia
10.3.7 Thailand
10.3.8 Malaysia
10.3.9 Singapore
10.3.10 Vietnam
10.3.11 Rest of Asia Pacific
10.4 South America
10.4.1 Brazil
10.4.2 Argentina
10.4.3 Colombia
10.4.4 Chile
10.4.5 Peru
10.4.6 Rest of South America
10.5 Rest of the World (RoW)
10.5.1 Middle East
10.5.1.1 Saudi Arabia
10.5.1.2 United Arab Emirates
10.5.1.3 Qatar
10.5.1.4 Israel
10.5.1.5 Rest of Middle East
10.5.2 Africa
10.5.2.1 South Africa
10.5.2.2 Egypt
10.5.2.3 Morocco
10.5.2.4 Rest of Africa

11 Strategic Market Intelligence
11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives
12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles
13.1 IBM Corporation
13.2 Trimble Inc.
13.3 Deere & Company
13.4 Climate LLC
13.5 Corteva Agriscience
13.6 SAP SE
13.7 Hexagon AB
13.8 Fujitsu Limited
13.9 Planet Labs PBC
13.10 Descartes Labs, Inc.
13.11 Taranis
13.12 Prospera Technologies
13.13 aWhere, Inc.
13.14 Granular, Inc.
13.15 Ag Leader Technology

List of Tables
1 Global Crop Yield Prediction Market Outlook, By Region (2023-2034) ($MN)
2 Global Crop Yield Prediction Market, By Solution Type (2023–2034) ($MN)
3 Global Crop Yield Prediction Market, By Yield Monitoring Solutions (2023–2034) ($MN)
4 Global Crop Yield Prediction Market, By Crop Forecasting Platforms (2023–2034) ($MN)
5 Global Crop Yield Prediction Market, By Field Analytics Solutions (2023–2034) ($MN)
6 Global Crop Yield Prediction Market, By Farm Data Management Solutions (2023–2034) ($MN)
7 Global Crop Yield Prediction Market, By Other Solution Types (2023–2034) ($MN)
8 Global Crop Yield Prediction Market, By Component (2023–2034) ($MN)
9 Global Crop Yield Prediction Market, By Software (2023–2034) ($MN)
10 Global Crop Yield Prediction Market, By Hardware (2023–2034) ($MN)
11 Global Crop Yield Prediction Market, By Services (2023–2034) ($MN)
12 Global Crop Yield Prediction Market, By Sensors & Imaging Devices (2023–2034) ($MN)
13 Global Crop Yield Prediction Market, By Other Components (2023–2034) ($MN)
14 Global Crop Yield Prediction Market, By Technology (2023–2034) ($MN)
15 Global Crop Yield Prediction Market, By Artificial Intelligence (2023–2034) ($MN)
16 Global Crop Yield Prediction Market, By Machine Learning (2023–2034) ($MN)
17 Global Crop Yield Prediction Market, By Remote Sensing (2023–2034) ($MN)
18 Global Crop Yield Prediction Market, By Big Data Analytics (2023–2034) ($MN)
19 Global Crop Yield Prediction Market, By GIS & GPS Technologies (2023–2034) ($MN)
20 Global Crop Yield Prediction Market, By Other Technologies (2023–2034) ($MN)
21 Global Crop Yield Prediction Market, By Application (2023–2034) ($MN)
22 Global Crop Yield Prediction Market, By Crop Health Monitoring (2023–2034) ($MN)
23 Global Crop Yield Prediction Market, By Yield Forecasting (2023–2034) ($MN)
24 Global Crop Yield Prediction Market, By Precision Farming (2023–2034) ($MN)
25 Global Crop Yield Prediction Market, By Weather Impact Analysis (2023–2034) ($MN)
26 Global Crop Yield Prediction Market, By Resource Optimization (2023–2034) ($MN)
27 Global Crop Yield Prediction Market, By Other Applications (2023–2034) ($MN)
28 Global Crop Yield Prediction Market, By End User (2023–2034) ($MN)
29 Global Crop Yield Prediction Market, By Commercial Farms (2023–2034) ($MN)
30 Global Crop Yield Prediction Market, By Agricultural Enterprises (2023–2034) ($MN)
31 Global Crop Yield Prediction Market, By Government Agencies (2023–2034) ($MN)
32 Global Crop Yield Prediction Market, By Research Institutions (2023–2034) ($MN)
33 Global Crop Yield Prediction Market, By Other End Users (2023–2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.

 

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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