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2035508

人工智慧土壤健康監測市場預測至2034年—按產品、作物類型、應用、最終用戶和地區分類的全球分析

AI Soil Health Monitoring Market Forecasts to 2034 - Global Analysis By Offering (Hardware, Software and Services), Crop Type, 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 AI 土壤健康監測市場規模將達到 36 億美元，並在預測期內以 7.4% 的複合年成長率成長，到 2034 年將達到 64 億美元。

人工智慧土壤健康監測系統收集、種植作物土壤的物理、化學和生物參數數據，包括水分、溫度、pH值、氮、磷、鉀、有機碳、微生物活性和壓實指標，適用於穀物、穀類、水果、蔬菜、油籽、種植作物以及草坪和觀賞植物栽培系統。該系統能夠產生可操作的精準管理建議，以支持改善土壤健康並最佳化穀物、豆類、油籽、經濟作物以及草坪和觀賞植物栽培系統的作物產量。

再生農業中的土壤資料需求

隨著再生農業實踐的商業化應用，企業需要提供土壤健康改善的證據以參與排碳權計劃、獲得永續性認證以及進行供應鏈合規性報告，因此，對能夠提供檢驗的、連續的土壤參數測量和趨勢分析的人工智慧土壤健康監測平台的投資正在推動商業性需求。食品公司供應鏈中的永續發展措施要求採用檢驗的農場土壤健康實踐，這促使企業對標準化的土壤監測資料基礎設施產生需求，該基礎設施能夠實現透明的、可由第三方檢驗的土壤健康結果記錄。

土壤感測器網路安裝成本

對於商業農場而言，部署密度適宜的土壤感測器網路以精確捕捉不同土壤類型田間土壤變化所需的資本投入是一大障礙，因為每個田間需要多個感測器節點才能確保具有代表性的監測覆蓋範圍。此外，安裝、感測器校準、無線連接基礎設施以及電池更換計劃的管理等都構成持續的營運成本，使得土壤監測專案的總擁有成本遠遠超過初始硬體採購價格。

與保險風險評估的整合

將持續的AI土壤健康監測數據整合到精準作物保險產品的精算模型中，為農業保險承保人帶來了巨大的市場機會。即時土壤濕度、壓實度和健康指標數據能夠比傳統的廣譜承保方法更準確地評估田間產量風險。這為保費折扣計劃創造了商業性獎勵，該計劃獎勵那些透過訂閱認證AI平台提供持續且檢驗的土壤健康監測數據的農民。

低成本物聯網土壤感測器的商品化

亞洲電子廠商生產的通用型物聯網土壤濕度和溫度感測器迅速普及，其價格遠低於昂貴的AI土壤健康監測系統，導致基礎土壤感測器功能趨於同質化。因此，AI土壤健康監測平台需要透過提供分析智慧和農業建議來區別於硬體感測器的創新性，而這些功能是通用感測器和通用數據聚合平台（儘管其系統總成本顯著更低）組合無法實現的。

新冠疫情的影響：

新冠疫情限制了農業諮詢服務的獲取，加速了遠端土壤監測技術的應用。這是因為先進的土壤健康數據平台使得農場管理決策無需農藝師現場考察即可進行。在後疫情時代，對再生農業的投資不斷增加，碳市場的發展需要對土壤健康檢驗，以及氣候壓力下土壤品質監測日益迫切的需求，這些因素持續推動著人工智慧土壤健康監測市場在全球商業農業和轉型中的農業企業中成長。

在預測期內，服務業預計將佔據最大佔有率。

由於商業農戶擴大採用人工智慧土壤健康監測技術，預計服務領域在預測期內將佔據最大的市場佔有率。託管服務訂閱計畫提供感測器網路安裝、數據採集、人工智慧分析平台存取和農業化學品解讀服務，使農民無需具備內部土壤科學專業知識、感測器維護能力或人工智慧數據分析能力即可利用土壤健康資訊來管理營運監測計畫。

在預測期內，糧食板塊預計將呈現最高的複合年成長率。

在預測期內，糧食產業預計將呈現最高的成長率。這主要歸功於大規模商業糧食生產商在其小麥、玉米和大豆生產系統中採用人工智慧土壤健康監測技術，以支援精準的氮肥管理、覆蓋作物性能評估和碳固存檢驗計畫。在這些生產系統中，最佳化土壤健康已在產量穩定性、投入效率和永續性方面展現出顯著優勢，從而為監測專案投資帶來了豐厚的經濟和監管回報。

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。這是因為美國擁有高度發展的精密農業市場，CropX、Climate LLC 和 Trimble 等領先的人工智慧土壤健康平台公司透過與商業糧食生產商的客戶關係獲得了可觀的國內收入，強大的碳農業項目的發展催生了對機構土壤監測的需求，而美國農業部 (USDA) 的先進氣候智慧型農業計劃也支持了對機構土壤監測的需求，而美國農業部 (USDA) 的先進氣候智慧農業投資計劃也支持對土壤健康基礎設施的部署。

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。這主要歸因於以下幾個因素：印度、中國和澳洲為推動永續農業政策而實施的國家土壤健康監測計畫；精密農業的快速普及推動了對土壤數據基礎設施的投資；以及印度和澳洲本土農業科技新創企業的蓬勃發展，這些企業正在開發價格具有競爭力的AI土壤健康監測解決方案，以滿足亞太地區商業農業和小規模農戶的需求。

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。

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10章戰略市場資訊

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11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12章：公司簡介

John Deere
Trimble Inc.
AGCO Corporation
Raven Industries
BASF Digital Farming
Corteva Agriscience
IBM Corporation
Microsoft Corporation
Climate LLC
SenseFly
Taranis
Granular Inc.
CropX Technologies
Topcon Corporation
Yara International
Syngenta AG
Deveron Corp.

簡介目錄圖表

Product Code: SMRC35625

According to Stratistics MRC, the Global AI Soil Health Monitoring Market is accounted for $3.6 billion in 2026 and is expected to reach $6.4 billion by 2034 growing at a CAGR of 7.4% during the forecast period. AI soil health monitoring refers to hardware sensor devices, AI-powered software analytics platforms, and managed agronomic services that collect, analyze, and interpret continuous soil physical, chemical, and biological parameter data including moisture, temperature, pH, nitrogen, phosphorus, potassium, organic carbon, microbial activity, and compaction indicators across cereal and grain crops, fruits and vegetables, oilseeds and pulses, plantation crops, and turf and ornamental cultivation systems to generate actionable precision management recommendations supporting soil health improvement and optimized crop production outcomes.

Market Dynamics:

Driver:

Regenerative Agriculture Soil Data Requirements

Commercial adoption of regenerative agriculture practices requiring documented soil health improvement evidence for carbon credit program participation, sustainability certification, and supply chain compliance reporting is driving investment in AI soil health monitoring platforms that provide verifiable continuous soil parameter measurement and trend analysis. Food company supply chain sustainability commitments requiring verified farmer soil health practice adoption generate institutional demand for standardized soil monitoring data infrastructure enabling transparent third-party verifiable soil health outcome documentation.

Restraint:

Soil Sensor Network Installation Costs

Capital investment requirements for deploying adequate soil sensor network density to accurately capture field-level soil variability across diverse field soil types creates adoption barriers for commercial farming operations requiring multiple sensor nodes per field for representative monitoring coverage. Installation labor, sensor calibration, wireless connectivity infrastructure, and battery replacement program management add ongoing operational cost that increases total soil monitoring program cost-of-ownership substantially above initial hardware procurement pricing.

Opportunity:

Insurance Risk Assessment Integration

Agricultural insurance underwriter integration of continuous AI soil health monitoring data into precision crop insurance product actuarial modeling represents a premium market opportunity as real-time soil moisture, compaction, and health indicator data enables more accurate field-level yield risk assessment than conventional broad-area indemnity coverage approaches, creating commercial incentives for insurance premium discount programs rewarding farmers who provide continuous verified soil health monitoring data through certified AI platform subscriptions.

Threat:

Low-Cost IoT Soil Sensor Commoditization

Rapid proliferation of low-cost commodity IoT soil moisture and temperature sensors from Asian electronics manufacturers at prices substantially below premium AI soil health monitoring system offerings is commoditizing basic soil sensor functionality, requiring AI soil health monitoring platform differentiation to shift from hardware sensor novelty toward analytics intelligence and agronomic recommendation quality that cannot be replicated through commodity sensor plus generic data aggregation platform combinations available at substantially lower total system cost.

Covid-19 Impact:

COVID-19 reduced agricultural advisory service access accelerated remote soil monitoring adoption as precision soil health data platforms enabled farm management decision support without requiring physical agronomist site visits. Post-pandemic regenerative agriculture investment acceleration, carbon market development requiring soil health verification, and increasing climate-stress driven soil quality monitoring urgency continue driving AI soil health monitoring market growth across commercial and transitioning farming operations globally.

The services segment is expected to be the largest during the forecast period

The services segment is expected to account for the largest market share during the forecast period, due to dominant commercial farmer adoption of AI soil health monitoring through managed service subscription programs providing sensor network installation, data collection, AI analytics platform access, and agronomic interpretation services that enable farmers to benefit from soil health intelligence without requiring in-house soil science expertise, sensor maintenance capability, or AI data analytics competency for operational monitoring program management.

The cereals & grains segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cereals & grains segment is predicted to witness the highest growth rate, driven by large-scale commercial grain producer adoption of AI soil health monitoring to support precision nitrogen management, cover crop performance assessment, and carbon sequestration verification programs in wheat, corn, and soybean production systems where soil health optimization delivers documented yield stability, input efficiency, and sustainability compliance benefits that generate strong economic and regulatory return-on-investment for monitoring program investment.

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 well-developed precision agriculture markets with leading AI soil health platform companies including CropX, Climate LLC, and Trimble generating substantial domestic revenue from commercial grain producer customer relationships, strong carbon farming program development creating institutional soil monitoring demand, and progressive USDA climate-smart agriculture investment programs supporting soil health monitoring infrastructure adoption.

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 national soil health monitoring programs for sustainable agriculture policy, rapidly growing precision agriculture adoption creating soil data infrastructure investment, and domestic agtech startup development in India and Australia creating competitively priced AI soil health monitoring solutions serving Asia Pacific commercial and smallholder farming sector requirements.

Key players in the market

Some of the key players in AI Soil Health Monitoring Market include John Deere, Trimble Inc., AGCO Corporation, Raven Industries, BASF Digital Farming, Corteva Agriscience, IBM Corporation, Microsoft Corporation, Climate LLC, SenseFly, Taranis, Granular Inc., CropX Technologies, Topcon Corporation, Yara International, Syngenta AG, and Deveron Corp..

Key Developments:

In April 2026, CropX Technologies launched an AI soil carbon monitoring platform providing continuous organic carbon flux measurement and sequestration verification for agricultural carbon credit program participants with automated reporting for registry submission compliance.

In March 2026, Trimble Inc. introduced a new soil health dashboard integrating multi-parameter sensor network data with satellite imagery and weather analytics for comprehensive regenerative agriculture practice impact monitoring and carbon program documentation.

In December 2025, Climate LLC expanded its soil health analytics platform with new microbial activity estimation models providing AI-predicted soil biological health indicators from standard physical and chemical sensor data without requiring laboratory analysis.

Offerings Covered:

Hardware
Software
Services

Crop Types Covered:

Cereals & Grains
Fruits & Vegetables
Oilseeds & Pulses
Plantation Crops
Turf & Ornamental Crops

Applications Covered:

Soil Nutrient Analysis
Soil Moisture Monitoring
Carbon Sequestration Tracking
Crop Health Optimization
Precision Farming

End Users Covered:

Commercial Farms
Agricultural Cooperatives
Government & Research Institutions
Agritech Companies

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 AI Soil Health Monitoring Market, By Offering

5.1 Hardware
- 5.1.1 Soil Sensors
- 5.1.2 Imaging Devices
- 5.1.3 Drones & UAVs
5.2 Software
- 5.2.1 AI Analytics Platforms
- 5.2.2 Predictive Modeling Tools
- 5.2.3 Cloud-Based Monitoring Systems
5.3 Services
- 5.3.1 Consulting
- 5.3.2 Integration & Deployment
- 5.3.3 Maintenance & Support

6 Global AI Soil Health Monitoring Market, By Crop Type

6.1 Cereals & Grains
6.2 Fruits & Vegetables
6.3 Oilseeds & Pulses
6.4 Plantation Crops
6.5 Turf & Ornamental Crops

7 Global AI Soil Health Monitoring Market, By Application

7.1 Soil Nutrient Analysis
7.2 Soil Moisture Monitoring
7.3 Carbon Sequestration Tracking
7.4 Crop Health Optimization
7.5 Precision Farming

8 Global AI Soil Health Monitoring Market, By End User

8.1 Commercial Farms
8.2 Agricultural Cooperatives
8.3 Government & Research Institutions
8.4 Agritech Companies

9 Global AI Soil Health Monitoring Market, By Geography

9.1 North America
- 9.1.1 United States
- 9.1.2 Canada
- 9.1.3 Mexico
9.2 Europe
- 9.2.1 United Kingdom
- 9.2.2 Germany
- 9.2.3 France
- 9.2.4 Italy
- 9.2.5 Spain
- 9.2.6 Netherlands
- 9.2.7 Belgium
- 9.2.8 Sweden
- 9.2.9 Switzerland
- 9.2.10 Poland
- 9.2.11 Rest of Europe
9.3 Asia Pacific
- 9.3.1 China
- 9.3.2 Japan
- 9.3.3 India
- 9.3.4 South Korea
- 9.3.5 Australia
- 9.3.6 Indonesia
- 9.3.7 Thailand
- 9.3.8 Malaysia
- 9.3.9 Singapore
- 9.3.10 Vietnam
- 9.3.11 Rest of Asia Pacific
9.4 South America
- 9.4.1 Brazil
- 9.4.2 Argentina
- 9.4.3 Colombia
- 9.4.4 Chile
- 9.4.5 Peru
- 9.4.6 Rest of South America
9.5 Rest of the World (RoW)
- 9.5.1 Middle East
  - 9.5.1.1 Saudi Arabia
  - 9.5.1.2 United Arab Emirates
  - 9.5.1.3 Qatar
  - 9.5.1.4 Israel
  - 9.5.1.5 Rest of Middle East
- 9.5.2 Africa
  - 9.5.2.1 South Africa
  - 9.5.2.2 Egypt
  - 9.5.2.3 Morocco
  - 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

10.1 Industry Value Network and Supply Chain Assessment
10.2 White-Space and Opportunity Mapping
10.3 Product Evolution and Market Life Cycle Analysis
10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

11.1 Mergers and Acquisitions
11.2 Partnerships, Alliances, and Joint Ventures
11.3 New Product Launches and Certifications
11.4 Capacity Expansion and Investments
11.5 Other Strategic Initiatives

12 Company Profiles

12.1 John Deere
12.2 Trimble Inc.
12.3 AGCO Corporation
12.4 Raven Industries
12.5 BASF Digital Farming
12.6 Corteva Agriscience
12.7 IBM Corporation
12.8 Microsoft Corporation
12.9 Climate LLC
12.10 SenseFly
12.11 Taranis
12.12 Granular Inc.
12.13 CropX Technologies
12.14 Topcon Corporation
12.15 Yara International
12.16 Syngenta AG
12.17 Deveron Corp.

簡介目錄圖表

List of Tables

Table 1 Global AI Soil Health Monitoring Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global AI Soil Health Monitoring Market Outlook, By Offering (2023-2034) ($MN)
Table 3 Global AI Soil Health Monitoring Market Outlook, By Hardware (2023-2034) ($MN)
Table 4 Global AI Soil Health Monitoring Market Outlook, By Soil Sensors (2023-2034) ($MN)
Table 5 Global AI Soil Health Monitoring Market Outlook, By Imaging Devices (2023-2034) ($MN)
Table 6 Global AI Soil Health Monitoring Market Outlook, By Drones & UAVs (2023-2034) ($MN)
Table 7 Global AI Soil Health Monitoring Market Outlook, By Software (2023-2034) ($MN)
Table 8 Global AI Soil Health Monitoring Market Outlook, By AI Analytics Platforms (2023-2034) ($MN)
Table 9 Global AI Soil Health Monitoring Market Outlook, By Predictive Modeling Tools (2023-2034) ($MN)
Table 10 Global AI Soil Health Monitoring Market Outlook, By Cloud-Based Monitoring Systems (2023-2034) ($MN)
Table 11 Global AI Soil Health Monitoring Market Outlook, By Services (2023-2034) ($MN)
Table 12 Global AI Soil Health Monitoring Market Outlook, By Consulting (2023-2034) ($MN)
Table 13 Global AI Soil Health Monitoring Market Outlook, By Integration & Deployment (2023-2034) ($MN)
Table 14 Global AI Soil Health Monitoring Market Outlook, By Maintenance & Support (2023-2034) ($MN)
Table 15 Global AI Soil Health Monitoring Market Outlook, By Crop Type (2023-2034) ($MN)
Table 16 Global AI Soil Health Monitoring Market Outlook, By Cereals & Grains (2023-2034) ($MN)
Table 17 Global AI Soil Health Monitoring Market Outlook, By Fruits & Vegetables (2023-2034) ($MN)
Table 18 Global AI Soil Health Monitoring Market Outlook, By Oilseeds & Pulses (2023-2034) ($MN)
Table 19 Global AI Soil Health Monitoring Market Outlook, By Plantation Crops (2023-2034) ($MN)
Table 20 Global AI Soil Health Monitoring Market Outlook, By Turf & Ornamental Crops (2023-2034) ($MN)
Table 21 Global AI Soil Health Monitoring Market Outlook, By Application (2023-2034) ($MN)
Table 22 Global AI Soil Health Monitoring Market Outlook, By Soil Nutrient Analysis (2023-2034) ($MN)
Table 23 Global AI Soil Health Monitoring Market Outlook, By Soil Moisture Monitoring (2023-2034) ($MN)
Table 24 Global AI Soil Health Monitoring Market Outlook, By Carbon Sequestration Tracking (2023-2034) ($MN)
Table 25 Global AI Soil Health Monitoring Market Outlook, By Crop Health Optimization (2023-2034) ($MN)
Table 26 Global AI Soil Health Monitoring Market Outlook, By Precision Farming (2023-2034) ($MN)
Table 27 Global AI Soil Health Monitoring Market Outlook, By End User (2023-2034) ($MN)
Table 28 Global AI Soil Health Monitoring Market Outlook, By Commercial Farms (2023-2034) ($MN)
Table 29 Global AI Soil Health Monitoring Market Outlook, By Agricultural Cooperatives (2023-2034) ($MN)
Table 30 Global AI Soil Health Monitoring Market Outlook, By Government & Research Institutions (2023-2034) ($MN)
Table 31 Global AI Soil Health Monitoring Market Outlook, By Agritech Companies (2023-2034) ($MN)