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商品編碼

2035265

農業數據分析市場預測至2034年－按組成部分、資料來源、部署模式、應用、最終用戶和地區分類的全球分析

Farm Data Analytics Market Forecasts to 2034 - Global Analysis By Component, Data Source, Deployment Mode, Application, End User and By Geography

出版日期: 2026年05月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球農業數據分析市場規模將達到 86 億美元，並在預測期內以 12.0% 的複合年成長率成長，到 2034 年將達到 213 億美元。

農業數據分析是指利用軟體平台、數據分析工具、雲端和本地部署解決方案、人工智慧和機器學習模型、數據可視化系統以及預測分析引擎，收集、整合和分析來自衛星圖像、無人機調查、物聯網感測器、氣象站、土壤採樣和作物監測網路等來源的農業數據產量為農民、農藝師和農業企業提供可操作的見解，以最佳化管理作物、生產效率視覺化系統資源。

精密農業技術的主流化

商業農戶加速採用精密農業技術，而精準農業需要數據驅動的田間管理決策，這推動了對農場數據分析平台的投資。農場數據分析平台作為一種分析智慧層，能夠將原始數據（感測器數據、衛星數據和營運數據）轉化為可執行的農藝建議。主要農業經濟體的政府精密農業投資激勵計劃，以及主要農資供應商強制整合農場管理軟體，正在將農場數據分析的應用範圍從技術嫻熟的早期採用者擴展到主流商業農業。

農村地區數位基礎設施的差距

在美國、巴西、印度和撒哈拉以南非洲等主要農作物產區的大片農業區域，本地寬頻和行動電話通訊基礎設施不足。這阻礙了數據上傳、雲端同步和即時分析的獲取，限制了農業數據分析平台在這些最大農業產區的部署。因此，其市場滲透率遠低於已開發國家那些網路連結較好的農業地區的技術普及程度。

碳農業計畫的數據要求

農業碳匯信用計畫中對測量、報告和檢驗（MRV）數據的強制性要求，為農業數據分析市場帶來了巨大的發展機會。這是因為碳匯計劃營運者需要一套標準化的數位資料收集和分析基礎設施，涵蓋所有已註冊的農場，以核實實踐應用情況、量化碳彙成果，並產生可審計的信用發放文件。這將推動系統化農業數據平台的應用，而不僅限於提高農業效率。

農民對數據所有權的擔憂

農民對商業性農業數據分析平台提供者保留、商業化或與第三方（例如投入品供應商、商品貿易商和政府機構）共用其農場管理數據的擔憂，導致農民對採用此類平台猶豫不決，並最終導致平台轉換。反過來，這又限制了農業數據分析公司的長期客戶維繫，因為這些公司被認為在數據使用方面缺乏透明度，並且未能充分保護農民獨特的商業資訊。

新冠疫情的影響：

新冠疫情導致的供應鏈中斷，以及由此造成的農藝師和物料供應商難以進入農場，加速了遠端農場監測和數據分析技術的應用。這是因為，在疫情限制下，農場獲得諮詢服務的機會有限，而能夠進行遠端作物評估和精準物料管理的數位化農場管理平台成為了一種替代方案。後疫情時代，對數位農業的加速投資以及農場韌性策略的採用，持續推動全球商業農業領域對農場數據分析平台的應用。

在預測期內，人工智慧和機器學習模型細分市場預計將成為最大的細分市場。

預計在預測期內，人工智慧和機器學習模型細分市場將佔據最大的市場佔有率。這是因為人工智慧和機器學習能力是農業數據分析平台的核心差異化價值交付機制，能夠將原始數據轉化為預測產量模型、早期病害檢測警報、可變施肥處方生成以及市場時機建議。這些都是傳統資料視覺化工具無法提供的，因此，商業農戶對超越人工資料解讀能力的自動化決策智慧有更高的需求。

在預測期內，衛星影像領域預計將呈現最高的複合年成長率。

在預測期內，衛星影像領域預計將呈現最高的成長率。這主要得益於衛星資料單幅影像成本的快速下降，而這又得益於Planet Labs和Maxar等商業衛星星系的擴張，以及幾乎每天都能提供高解析度農田覆蓋的國內專案的推動。這使得持續的作物監測、脅迫檢測和產量估算服務能夠以可負擔的每英畝價格提供，全球越來越多的商業農場正在使用這項服務。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這是因為美國擁有全球最先進的精密農業技術應用生態系統，而迪爾公司、天寶公司、Climate LLC 和 Farmers Edge 等領先的農業數據分析公司，憑藉與玉米、大豆、小麥和特種作物生產領域的商業農戶建立的穩固客戶關係，在國內獲得了可觀的收入。

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。這主要歸功於印度、中國和澳洲大規模政府主導的數位農業投資計畫的實施；這些市場中先進生產商對商業農業技術的快速應用；以及本土農業科技新創企業生態系統的蓬勃發展，這些企業正在開發針對亞洲和澳洲多樣化作物系統管理需求的區域性農業數據分析解決方案。

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
- 主要參與者（最多3家公司）的SWOT分析
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。

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

Deere & Company
Corteva Agriscience
Bayer AG
Syngenta Group
Trimble Inc.
AGCO Corporation
Raven Industries
Climate LLC（Bayer）
Farmers Edge Inc.
CropX Technologies
Taranis
Granular Inc.
IBM Corporation
Microsoft Corporation
Oracle Corporation
Accenture PLC
SAP SE

簡介目錄圖表

Product Code: SMRC35605

According to Stratistics MRC, the Global Farm Data Analytics Market is accounted for $8.6 billion in 2026 and is expected to reach $21.3 billion by 2034 growing at a CAGR of 12.0% during the forecast period. Farm data analytics refers to software platforms, data analytics tools, cloud-based and on-premise solutions, AI and machine learning models, data visualization systems, and predictive analytics engines that collect, integrate, and analyze agricultural data from satellite imagery, drone surveys, IoT sensors, weather stations, soil sampling, and crop monitoring networks to provide farmers, agronomists, and agribusiness operators with actionable insights for crop yield optimization, resource efficiency improvement, risk management, and farm operational decision support.

Market Dynamics:

Driver:

Precision Agriculture Technology Mainstream Adoption

Accelerating commercial farmer adoption of precision agriculture practices requiring data-driven field management decisions is driving farm data analytics platform investment as the analytical intelligence layer that transforms raw sensor, satellite, and operational data into actionable agronomic recommendations. Government precision agriculture investment incentive programs across major agricultural economies combined with farm management software integration mandates from major agribusiness input suppliers are expanding farm data analytics adoption beyond technology-forward early adopters to mainstream commercial farming operations.

Restraint:

Rural Digital Infrastructure Gaps

Inadequate rural broadband and cellular connectivity infrastructure across vast agricultural regions in major crop-producing areas of the United States, Brazil, India, and sub-Saharan Africa creates data upload, cloud synchronization, and real-time analytics access barriers that constrain farm data analytics platform deployment in geographies representing the largest agricultural production areas, limiting addressable market penetration below technology availability levels in developed market agricultural regions with superior connectivity.

Opportunity:

Carbon Farming Program Data Requirements

Mandatory measurement, reporting, and verification data requirements for agricultural carbon sequestration credit programs represent a substantial farm data analytics market expansion opportunity as carbon program operators require standardized digital data collection and analytics infrastructure across enrolled farm operations to verify practice adoption, quantify carbon sequestration outcomes, and generate audit-ready credit issuance documentation that drives institutional farm data platform procurement beyond pure agronomic efficiency motivation.

Threat:

Data Ownership Farmer Concern

Farmer data sovereignty concerns about commercial farm data analytics platform providers retaining, monetizing, or sharing farm operational data with third parties including input suppliers, commodity traders, and government agencies create adoption hesitation and platform switching behavior that constrains long-term customer retention for farm data analytics companies perceived as insufficiently transparent about data utilization practices and inadequately protective of farmer proprietary operational information.

Covid-19 Impact:

COVID-19 supply chain disruptions and reduced access of agronomists and input suppliers to farm fields accelerated remote farm monitoring and data analytics adoption as digital farm management platforms enabling remote crop assessment and precision input management substituted for reduced on-farm advisory service access during pandemic restrictions. Post-pandemic digital agriculture investment acceleration and farm operational resilience strategy adoption continue driving farm data analytics platform procurement across commercial farming segments globally.

The AI & machine learning models segment is expected to be the largest during the forecast period

The AI & machine learning models segment is expected to account for the largest market share during the forecast period, due to AI and machine learning capability representing the core differentiated value delivery mechanism within farm data analytics platforms that transforms raw agricultural data into predictive yield models, early disease detection alerts, variable rate prescription generation, and market timing recommendations that conventional data visualization tools cannot provide, commanding premium pricing from commercial farmers seeking automated decision intelligence beyond manual data interpretation capability.

The satellite imagery segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the satellite imagery segment is predicted to witness the highest growth rate, driven by rapidly declining per-image satellite data costs from expanding commercial satellite constellations including Planet Labs, Maxar, and domestic programs providing near-daily high-resolution agricultural field coverage that enables continuous crop monitoring, stress detection, and yield estimation services at affordable per-acre pricing economics accessible to a growing proportion of commercial farm operations globally.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting the world's most advanced precision agriculture technology adoption ecosystem with leading farm data analytics companies including Deere & Company, Trimble, Climate LLC, and Farmers Edge generating substantial domestic revenue from established commercial farm customer relationships across corn, soybean, wheat, and specialty crop production sectors.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to India, China, and Australia implementing large-scale government digital agriculture investment programs, rapidly growing commercial farm technology adoption among progressive producers in these markets, and substantial domestic agtech startup ecosystem development creating regionally customized farm data analytics solutions for diverse Asian and Australian cropping system management requirements.

Key players in the market

Some of the key players in Farm Data Analytics Market include Deere & Company, Corteva Agriscience, Bayer AG, Syngenta Group, Trimble Inc., AGCO Corporation, Raven Industries, Climate LLC (Bayer), Farmers Edge Inc., CropX Technologies, Taranis, Granular Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Accenture PLC, and SAP SE.

Key Developments:

In March 2026, Climate LLC (Bayer) launched an AI-powered field risk assessment platform integrating satellite imagery with weather modeling to predict fungal disease pressure and automatically generate fungicide application timing recommendations for corn and soybean growers.

In February 2026, Farmers Edge Inc. introduced a new carbon sequestration monitoring module within its FarmCommand platform enabling grain farmers to quantify and verify soil carbon changes for participation in voluntary carbon credit programs.

In December 2025, CropX Technologies secured a major precision irrigation analytics partnership with a leading Australian irrigated grain cooperative deploying soil sensor networks and AI scheduling across 50,000 hectares of commercial production.

Components Covered:

Software Platforms
Data Analytics Tools
Cloud-Based Solutions
On-Premise Solutions
AI & Machine Learning Models
Data Visualization Tools
Predictive Analytics Engines

Data Sources Covered:

Satellite Imagery
Drone Data
IoT Sensor Data
Weather Data
Soil Health Data
Crop Monitoring Data

Deployment Modes Covered:

Cloud-Based
On-Premise
Hybrid Deployment

Applications Covered:

Crop Yield Prediction
Precision Farming
Soil Health Monitoring
Irrigation Management
Pest & Disease Detection
Farm Financial Management

End Users Covered:

Individual Farmers
Agribusiness Enterprises
Government Organizations
Research Institutions
Cooperatives

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

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 Farm Data Analytics Market, By Component

5.1 Software Platforms
5.2 Data Analytics Tools
5.3 Cloud-Based Solutions
5.4 On-Premise Solutions
5.5 AI & Machine Learning Models
5.6 Data Visualization Tools
5.7 Predictive Analytics Engines

6 Global Farm Data Analytics Market, By Data Source

6.1 Satellite Imagery
6.2 Drone Data
6.3 IoT Sensor Data
6.4 Weather Data
6.5 Soil Health Data
6.6 Crop Monitoring Data

7 Global Farm Data Analytics Market, By Deployment Mode

7.1 Cloud-Based
7.2 On-Premise
7.3 Hybrid Deployment

8 Global Farm Data Analytics Market, By Application

8.1 Crop Yield Prediction
8.2 Precision Farming
8.3 Soil Health Monitoring
8.4 Irrigation Management
8.5 Pest & Disease Detection
8.6 Farm Financial Management

9 Global Farm Data Analytics Market, By End User

9.1 Individual Farmers
9.2 Agribusiness Enterprises
9.3 Government Organizations
9.4 Research Institutions
9.5 Cooperatives

10 Global Farm Data Analytics 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 Deere & Company
13.2 Corteva Agriscience
13.3 Bayer AG
13.4 Syngenta Group
13.5 Trimble Inc.
13.6 AGCO Corporation
13.7 Raven Industries
13.8 Climate LLC (Bayer)
13.9 Farmers Edge Inc.
13.10 CropX Technologies
13.11 Taranis
13.12 Granular Inc.
13.13 IBM Corporation
13.14 Microsoft Corporation
13.15 Oracle Corporation
13.16 Accenture PLC
13.17 SAP SE

簡介目錄圖表

List of Tables

Table 1 Global Farm Data Analytics Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Farm Data Analytics Market Outlook, By Component (2023-2034) ($MN)
Table 3 Global Farm Data Analytics Market Outlook, By Software Platforms (2023-2034) ($MN)
Table 4 Global Farm Data Analytics Market Outlook, By Data Analytics Tools (2023-2034) ($MN)
Table 5 Global Farm Data Analytics Market Outlook, By Cloud-Based Solutions (2023-2034) ($MN)
Table 6 Global Farm Data Analytics Market Outlook, By On-Premise Solutions (2023-2034) ($MN)
Table 7 Global Farm Data Analytics Market Outlook, By AI & Machine Learning Models (2023-2034) ($MN)
Table 8 Global Farm Data Analytics Market Outlook, By Data Visualization Tools (2023-2034) ($MN)
Table 9 Global Farm Data Analytics Market Outlook, By Predictive Analytics Engines (2023-2034) ($MN)
Table 10 Global Farm Data Analytics Market Outlook, By Data Source (2023-2034) ($MN)
Table 11 Global Farm Data Analytics Market Outlook, By Satellite Imagery (2023-2034) ($MN)
Table 12 Global Farm Data Analytics Market Outlook, By Drone Data (2023-2034) ($MN)
Table 13 Global Farm Data Analytics Market Outlook, By IoT Sensor Data (2023-2034) ($MN)
Table 14 Global Farm Data Analytics Market Outlook, By Weather Data (2023-2034) ($MN)
Table 15 Global Farm Data Analytics Market Outlook, By Soil Health Data (2023-2034) ($MN)
Table 16 Global Farm Data Analytics Market Outlook, By Crop Monitoring Data (2023-2034) ($MN)
Table 17 Global Farm Data Analytics Market Outlook, By Deployment Mode (2023-2034) ($MN)
Table 18 Global Farm Data Analytics Market Outlook, By Cloud-Based (2023-2034) ($MN)
Table 19 Global Farm Data Analytics Market Outlook, By On-Premise (2023-2034) ($MN)
Table 20 Global Farm Data Analytics Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
Table 21 Global Farm Data Analytics Market Outlook, By Application (2023-2034) ($MN)
Table 22 Global Farm Data Analytics Market Outlook, By Crop Yield Prediction (2023-2034) ($MN)
Table 23 Global Farm Data Analytics Market Outlook, By Precision Farming (2023-2034) ($MN)
Table 24 Global Farm Data Analytics Market Outlook, By Soil Health Monitoring (2023-2034) ($MN)
Table 25 Global Farm Data Analytics Market Outlook, By Irrigation Management (2023-2034) ($MN)
Table 26 Global Farm Data Analytics Market Outlook, By Pest & Disease Detection (2023-2034) ($MN)
Table 27 Global Farm Data Analytics Market Outlook, By Farm Financial Management (2023-2034) ($MN)
Table 28 Global Farm Data Analytics Market Outlook, By End User (2023-2034) ($MN)
Table 29 Global Farm Data Analytics Market Outlook, By Individual Farmers (2023-2034) ($MN)
Table 30 Global Farm Data Analytics Market Outlook, By Agribusiness Enterprises (2023-2034) ($MN)
Table 31 Global Farm Data Analytics Market Outlook, By Government Organizations (2023-2034) ($MN)
Table 32 Global Farm Data Analytics Market Outlook, By Research Institutions (2023-2034) ($MN)
Table 33 Global Farm Data Analytics Market Outlook, By Cooperatives (2023-2034) ($MN)