查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2064920

作物產量預測市場展望至2034年—按解決方案類型、組件、技術、應用、最終用戶和地區分類的全球分析

Crop Yield Prediction Market Forecasts to 2034 - Global Analysis By Solution Type, Component, Technology, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球作物產量預測市場預計到 2026 年將達到 49 億美元，並在預測期內以 17.2% 的複合年成長率成長，到 2034 年達到 176 億美元。

作物產量預測利用數據分析、人工智慧、機器學習和遙感探測技術，在收穫前估算農作物產量。這些系統分析土壤狀況、天氣模式、作物生長、灌溉和歷史生產力數據等因素，從而產生準確的產量預測。產量預測使農民、農業相關企業和政策制定者能夠改善供應鏈規劃、風險管理和資源分配。此外，該技術透過在生長週期早期識別潛在的生產力問題，支持精密農業。農業數位化進程的推進正在加速全球範圍內產量預測分析解決方案的普及應用。

生產最佳化的必要性

農業排碳權市場正受到全球碳中和運動的推動。各國政府、企業和農民都在加強對淨零排放目標的承諾。排碳權計畫鼓勵永續農業實踐。這些信用額度既促進了環境友善農業的發展，也為農民提供了額外的收入來源。宣傳宣傳活動正在普及碳中和農業的益處。農業技術公司與碳交易平台之間的合作也迅速擴展。

農業數據可用性不均衡

一個主要限制因素是農民對排碳權機會的了解有限。許多農民缺乏合格標準和計畫流程的知識。繁瑣的文書工作阻礙了小規模農戶參與。農村地區諮詢服務的匱乏也減緩了碳權計畫的推廣。基礎設施的不平衡阻礙了​​順利​​融入碳市場。各國政府和非政府組織正努力透過培訓和宣傳活動來提高農民的意識。

衛星圖像整合進展

區塊鏈確保了排碳權的透明度和可追溯性。農民可以安全地記錄和檢驗永續農業實踐。數位化平台簡化了參與碳市場的流程。區塊鏈公司與農業企業之間的合作正在推動創新。價格合理的區塊鏈解決方案能夠吸引中小農場。這一機會可望加速排碳權的普及應用。

不可預測的氣候變化

全球碳市場的波動降低了農民的預期收益。價格波動阻礙了對永續農業實踐的長期投資。小規模農戶尤其容易受到市場波動的影響。監管的不確定性是另一項挑戰。媒體對碳排放交易的負面報導會削弱市場信心。這種波動性阻礙了農業碳權額度的普及。

新冠疫情的影響：

新冠疫情對農業排碳權市場產生了複雜的影響。一方面，隨著疫情期間永續性成為優先事項，需求增加。農民尋求透過排碳權獲得替代收入來源。儘管存在一些限制，但線上平台仍然支持了參與。另一方面，供應鏈中斷影響了檢驗過程。經濟的不確定性限制了對先進永續性措施的投資。預防性健康意識的提高也使人們更加關注環境友善農業。

在預測期內，產量監測解決方案細分市場預計將佔據最大的市場佔有率。

在預測期內，產量監測解決方案領域預計將佔據最大的市場佔有率。這是因為農民擴大採用土壤管理技術來獲取碳權。土壤碳權額能夠提供可衡量和檢驗的結果。各國政府透過補貼支持土壤碳舉措。在已開發市場，土壤碳計畫的零售市場滲透率正在不斷提高。農民青睞土壤碳權額，因為它可以降低成本並提高生產力。農業技術公司正在投資土壤監測技術。

在預測期內，天氣影響分析領域預計將呈現最高的複合年成長率。

在預測期內，由於對長期碳儲存解決方案的需求不斷成長，天氣影響分析領域預計將呈現最高的成長率。碳封存實踐能夠提升土壤健康和韌性。農民除了獲得碳權額度外，還能受益於作物產量的提高。年輕一代正迅速採用再生農業實踐。數位平台正在提高人們對碳封存益處的認知。各國政府正透過氣候政策支持碳封存。

市佔率最大的地區：

在預測期內，由於消費者意識高和永續發展框架先進，歐洲地區預計將佔據最大的市場佔有率。碳排放交易體系在歐洲市場已相當成熟。領先的農業技術公司和研究機構總部均設在該地區。政府措施正在推動碳中和農業的發展。德國、法國和英國等國的碳權計畫在零售市場的滲透率不斷提高。農民也樂於投資高品質的永續發展解決方案。歐洲將繼續成為全球整體收入的最大貢獻者。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於可支配收入的成長和農業現代化進程的推進。都市化和對糧食安全的擔憂正在推動排碳權需求的成長。碳中和農業正在中國、印度和日本等國家迅速普及。電子商務平台正在協助永續發展解決方案的推廣。政府補貼正在加速農村地區的碳中和農業發展。價格合理的排碳權計畫正獲得許多農民的支持。亞太地區將成為全球成長最快的地區。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球作物產量預測市場：依解決方案類型分類

  • 產量監測解決方案
  • 作物預測平台
  • 現場分析解決方案
  • 農場數據管理解決方案
  • 其他解決方案類型

第6章 全球作物產量預測市場：依組成部分

  • 軟體
  • 硬體
  • 服務
  • 感測器和成像設備
  • 其他規則

第7章 全球作物產量預測市場：依技術分類

  • 人工智慧
  • 機器學習
  • 遙感探測
  • 巨量資料分析
  • 地理資訊系統與全球定位系統技術
  • 其他技術

第8章 全球作物產量預測市場：依應用分類

  • 作物健康監測
  • 收益率預測
  • 精密農業
  • 天氣影響分析
  • 資源最佳化
  • 其他用途

第9章 全球作物產量預測市場：依最終用戶分類

  • 商業農場
  • 農業企業
  • 政府機構
  • 研究機構
  • 其他最終用戶

第10章：全球作物產量預測市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • 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.
  • Ag Leader Technology
Product Code: SMRC36898

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
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • 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
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • 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

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