농업 분석 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the agriculture analytics market size is expected to grow from USD 3.96 billion in 2025 to USD 4.52 billion in 2026 and is forecast to reach USD 8.76 billion by 2031 at 14.15% CAGR over 2026-2031.

This report is Segmented by Component (Solutions and Services), Application (Farm Analytics, Livestock Analytics, and More), Deployment Model (On-Premise, Cloud-Centric SaaS, and Edge/Hybrid), Farm Size (Small Farms, Medium Farms, and Large Farms), Data Source (Satellite and Aerial Imagery, UAV/Drone Imagery, and More), Analytics Technique (Descriptive, Predictive (ML), and More), and Geography.

Global Agriculture Analytics Market Trends and Insights

Digital-farming ROI Crossing 20% on Large Row-Crop Farms

Return on investment for precision agriculture consistently exceeds 20% on expansive row-crop operations, incentivizing large growers to scale analytics platforms. Cost savings stem from variable-rate inputs and optimized machinery scheduling, while yield gains arise from site-specific seed prescriptions. The success of JDLink-equipped equipment illustrates how integrated telemetry feeds actionable insights that cut input use by double-digit percentages. Demonstrated profitability on large farms encourages medium-sized growers to adopt similar tools, widening the Agriculture analytics market. However, smallholders still struggle to cover subscription fees despite proven agronomic benefits.

Ag-Retailers Bundling Analytics-as-a-Service Contracts

Input suppliers are pivoting from product sales toward data-driven service bundles that merge soil tests, remote sensing, and yield forecasts. Bayer's alliance with Source.ag shows how retailers embed AI in greenhouse trials to refine seed selection. Bundled contracts provide predictable revenue for suppliers and holistic decision support for farmers, fueling recurring demand across the Agriculture analytics market. Success hinges on agronomic credibility, efficient integration with farm hardware, and transparent ROI metrics that reassure cost-conscious clients. Competitive dynamics favour retailers that co-develop analytics rather than resell generic dashboards.

Licence Fatigue Among Smallholders After 1-Year Freemium

Many smallholders trial analytics apps during free introductory periods, yet discontinue once fees begin, hurting platform retention rates. AgUnity reports churn exceeding 40% when seasonal revenues fail to offset subscription costs. Limited cash flow, inconsistent internet access, and digital literacy gaps compound the challenge. Providers are testing pay-per-use or cooperative models that align billing with crop cycles. Without creative pricing, the Agriculture analytics market risks missing a vast smallholder segment.

Other drivers and restraints analyzed in the detailed report include:

1. Subsidy-Linked Smart Compliance Dashboards in EU CAP 2027
2. Edge-AI Chips Below USD 5 for Ag-IoT Cameras
3. Data-Sharing Litigation Risk in Cross-Border Food Chains

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Solutions captured 67.60% of the Agriculture analytics market share in 2025 through integrated farm-management suites that consolidate sensor feeds, satellite imagery, and equipment telemetry into single dashboards. End-users value turnkey functionality, automated reporting, and seamless updates that simplify compliance and boost productivity. However, the services segment is accelerating at a 15.85% CAGR as farms outsource configuration, data migration, and model tuning to specialist advisors. Many growers lack the in-house skills needed to interpret complex analytics, pushing demand for managed offerings that guarantee agronomic outcomes.Services also underpin platform stickiness by embedding agronomists and data scientists within the decision cycle, deepening customer relationships. eAgronom's consultants oversee 2.5 million hectares and use machine-learning insights to refine crop plans, illustrating the premium growers place on expert guidance. The Agriculture analytics market size for services is projected to expand steadily through 2031 as outcome-based contracts replace licence-only deals. Meanwhile, solution vendors continue to enrich packages with AI-driven carbon-market modules, hoping to preserve margins while retaining enterprise buyers.

Farm analytics remained the cornerstone application with a 46.10% share of the Agriculture analytics market in 2025, underpinned by widespread use of variable-rate seeding, nutrient mapping, and yield forecasting. Uptake is strongest on row-crop enterprises where large fields justify high-resolution satellite monitoring and advanced modeling. Yet livestock analytics is the fastest-growing niche at a 15.55% CAGR, as herds are fitted with wearables and vision systems that detect lameness, heat cycles, and feed efficiency in real time.Computer-vision frameworks cut inspection labor and raise welfare standards, making them attractive to vertically integrated meat processors facing tight margins. Aquaculture users are deploying IoT-enabled systems that register 94% accuracy in species recommendations and automate feeding to reduce waste. These innovations broaden the Agriculture analytics market by addressing protein production beyond traditional field crops. Agro-retailers also exploit demand data to refine fertilizer inventory levels, leaning on price-optimization algorithms that adjust offers daily during peak seasons.

Complete Report Scope:

• By Component
  • Solutions
    • Farm Management Platforms
    • Yield Monitoring and Forecasting
    • Supply-Chain and Traceability Suites
  • Services
• By Application
  • Farm Analytics
  • Livestock Analytics
  • Aquaculture Analytics
  • Agro-retail and Input-pricing Analytics
• By Deployment Model
  • On-premise
  • Cloud-centric SaaS
  • Edge/Hybrid
• By Farm Size
  • Small Farms (<100 ha)
  • Medium Farms (100-500 ha)
  • Large Farms (>500 ha)
• By Data Source
  • Satellite and Aerial Imagery
  • UAV/Drone Imagery
  • In-field IoT Sensors
  • Machine Telemetry and CAN-bus
  • Weather and Climate Feeds
• By Analytics Technique
  • Descriptive
  • Predictive (ML)
  • Prescriptive (Optimization)
  • Cognitive (AI-based)
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Singapore
    • Malaysia
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • United Arab Emirates
      • Saudi Arabia
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America held 35.90% of the Agriculture analytics market in 2025, benefiting from widespread broadband coverage, established equipment telematics, and supportive financial products that underwrite technology upgrades. The region will expand at 13.55% CAGR through 2031 as autonomous machinery, carbon-credit verification, and livestock analytics deepen penetration. Federal and state sustainability incentives increasingly link payments to data-validated practices, boosting platform demand while large cooperatives standardize on interoperable cloud-edge stacks.

Asia-Pacific is the fastest-growing territory at 15.25% CAGR, driven by China's precision-agriculture grants and India's vibrant agtech start-up scene valued at USD 24 billion. Government agencies promote remote sensing for smallholder advisory, and low-cost smartphones facilitate rapid adoption. Local innovators tailor analytics to rice paddies, horticulture greenhouses, and shrimp ponds, creating region-specific revenue streams within the broader Agriculture analytics market. Japan and South Korea contribute advanced robotics that feed high-frequency data into cloud pipelines, while Australia's broadacre farms trial edge-robotics at commercial scale.

Europe advances steadily under the Common Agricultural Policy 2027 rules that mandate smart compliance dashboards, compelling even technology-averse growers to digitize. Copernicus imagery automates parcel monitoring, and cross-border traceability solutions facilitate carbon-market participation. Funding mechanisms support start-ups targeting biodiversity metrics, and member-state pilots showcase best-practice templates for neighboring regions. Data-privacy fragmentation and legacy equipment integration temper growth but also encourage modular architectures that can navigate heterogeneous regulatory landscapes.

1. Trimble Inc.
2. Deere & Company (John Deere Operations Center)
3. Climate LLC (Bayer AG)
4. IBM Corporation
5. Granular, Inc. (Corteva)
6. Proagrica Ltd (RELX)
7. CropX Technologies
8. Farmers Edge Inc.
9. Agrostar (Stellapps)
10. Raven Industries (CNH Industrial)
11. Iteris Inc.
12. AgEagle Aerial Systems Inc.
13. Agrivi Ltd.
14. Conservis Corporation
15. PrecisionHawk, Inc.
16. SAS Institute Inc.
17. DataFarm Inc.
18. CropIn Technology Solutions
19. Taranis
20. Planet Labs PBC
21. Descartes Labs
22. OneSoil AG
23. xarvio Digital Farming Solutions (BASF)
24. GeoPard Agriculture
25. Agworld Pty Ltd.
26. Farmbeat (Microsoft Corporation)

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Digital-farming ROI crossing 20% on large row-crop farms
  • 4.2.2 Ag-retailers bundling analytics-as-a-service contracts
  • 4.2.3 Subsidy-linked "smart compliance" dashboards in EU CAP 2027
  • 4.2.4 On-farm carbon-credit monetisation platforms
  • 4.2.5 Edge-AI chips dropping below USD 5/unit for ag-IoT cameras
  • 4.2.6 Satellite SAR constellations hitting sub-3-day revisit time
• 4.3 Market Restraints
  • 4.3.1 Licence fatigue among smallholders after 1-year freemium
  • 4.3.2 Data-sharing litigation risk in cross-border food chains
  • 4.3.3 Algorithm bias for specialty crops in developing nations
  • 4.3.4 Sub-GHz spectrum crowding throttling sensor backhaul
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Buyers/Consumers
  • 4.7.3 Bargaining Power of Suppliers
  • 4.7.4 Threat of Substitute Products
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

• 5.1 By Component
  • 5.1.1 Solutions
    • 5.1.1.1 Farm Management Platforms
    • 5.1.1.2 Yield Monitoring and Forecasting
    • 5.1.1.3 Supply-Chain and Traceability Suites
  • 5.1.2 Services
• 5.2 By Application
  • 5.2.1 Farm Analytics
  • 5.2.2 Livestock Analytics
  • 5.2.3 Aquaculture Analytics
  • 5.2.4 Agro-retail and Input-pricing Analytics
• 5.3 By Deployment Model
  • 5.3.1 On-premise
  • 5.3.2 Cloud-centric SaaS
  • 5.3.3 Edge/Hybrid
• 5.4 By Farm Size
  • 5.4.1 Small Farms (<100 ha)
  • 5.4.2 Medium Farms (100-500 ha)
  • 5.4.3 Large Farms (>500 ha)
• 5.5 By Data Source
  • 5.5.1 Satellite and Aerial Imagery
  • 5.5.2 UAV/Drone Imagery
  • 5.5.3 In-field IoT Sensors
  • 5.5.4 Machine Telemetry and CAN-bus
  • 5.5.5 Weather and Climate Feeds
• 5.6 By Analytics Technique
  • 5.6.1 Descriptive
  • 5.6.2 Predictive (ML)
  • 5.6.3 Prescriptive (Optimization)
  • 5.6.4 Cognitive (AI-based)
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Chile
    • 5.7.2.4 Rest of South America
  • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Russia
    • 5.7.3.7 Rest of Europe
  • 5.7.4 Asia-Pacific
    • 5.7.4.1 China
    • 5.7.4.2 India
    • 5.7.4.3 Japan
    • 5.7.4.4 South Korea
    • 5.7.4.5 Singapore
    • 5.7.4.6 Malaysia
    • 5.7.4.7 Australia
    • 5.7.4.8 Rest of Asia-Pacific
  • 5.7.5 Middle East and Africa
    • 5.7.5.1 Middle East
      • 5.7.5.1.1 United Arab Emirates
      • 5.7.5.1.2 Saudi Arabia
      • 5.7.5.1.3 Turkey
      • 5.7.5.1.4 Rest of Middle East
    • 5.7.5.2 Africa
      • 5.7.5.2.1 South Africa
      • 5.7.5.2.2 Nigeria
      • 5.7.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Trimble Inc.
  • 6.4.2 Deere & Company (John Deere Operations Center)
  • 6.4.3 Climate LLC (Bayer AG)
  • 6.4.4 IBM Corporation
  • 6.4.5 Granular, Inc. (Corteva)
  • 6.4.6 Proagrica Ltd (RELX)
  • 6.4.7 CropX Technologies
  • 6.4.8 Farmers Edge Inc.
  • 6.4.9 Agrostar (Stellapps)
  • 6.4.10 Raven Industries (CNH Industrial)
  • 6.4.11 Iteris Inc.
  • 6.4.12 AgEagle Aerial Systems Inc.
  • 6.4.13 Agrivi Ltd.
  • 6.4.14 Conservis Corporation
  • 6.4.15 PrecisionHawk, Inc.
  • 6.4.16 SAS Institute Inc.
  • 6.4.17 DataFarm Inc.
  • 6.4.18 CropIn Technology Solutions
  • 6.4.19 Taranis
  • 6.4.20 Planet Labs PBC
  • 6.4.21 Descartes Labs
  • 6.4.22 OneSoil AG
  • 6.4.23 xarvio Digital Farming Solutions (BASF)
  • 6.4.24 GeoPard Agriculture
  • 6.4.25 Agworld Pty Ltd.
  • 6.4.26 Farmbeat (Microsoft Corporation)

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

• 7.1 White-Space and Unmet-Need Assessment