Farm Management Software and Data Analytics Market Size, Share & Trends Analysis Report By Solution (Software (On-Cloud Software, On-Premise Software), Platform-as-a-Service), By Application (Precision Crop Farming, Livestock Monitoring & Management, Indoor Farming, Aquaculture, Others), By Farm Produce, By Region, And By Segment Forecasts, 2023-2031.

Report Id: 2283 Pages: 160 Last Updated: 17 October 2024 Format: PDF / PPT / Excel / Power BI
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Segmentation of Farm Management Software and Data Analytics Market

Farm Management Software and Data Analytics Market By Solution

  • Software
    • On-Cloud Software
    • On-Premise Software
  • Platform-as-a-Service

Farm Management Software and Data Analytics Market

Farm Management Software and Data Analytics Market by Applications

  • Precision Crop Farming 
    • Yield Monitoring and Farm Mapping
    • Crop Scouting
    • Weather Tracking and Forecasting
    • Irrigation Management
    • Farm Economics
    • Others
  • Livestock Monitoring & Management
    • Milk Harvesting
    • Animal Health Monitoring and Comfort
    • Feeding Management
    • Heat Stress and Fertility Monitoring
    • Others
  • Indoor Farming
    • HVAC Management
    • Lighting Management
    • Plant Development Monitoring
    • Others
  • Aquaculture
    • Feed Management
    • Aquatic Species Tracking and Navigation
    • Water Quality Management
    • Others
  • Others

Farm Management Software and Data Analytics Market by Farm Produce

  • Cereals
  • Oil Crops
  • Fibre Crops
  • Pulses
  • Fruits
  • Vegetables
  • Tree Nuts
  • Roots and Tubers

Farm Management Software and Data Analytics Market by Region,

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

North America

  • U.S.
  • Canada

Europe

  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe

Asia Pacific

  • India
  • China
  • Japan
  • South Korea
  • Australia & New Zealand

Latin America

  • Brazil
  • Mexico
  • Rest of Latin America

Middle East & Africa

  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Farm Management Software and Data Analytics Market Snapshot

Chapter 4. Global Farm Management Software and Data Analytics Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Solutions Estimates & Trend Analysis
5.1. By Solutions, & Market Share, 2019 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2023 to 2031 for the following By Solutions:

5.2.1. Software
5.2.1.1. On-Cloud Software
5.2.1.2. On-Premise Software
5.2.2. Platform-as-a-Service

Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis
6.1. By Application & Market Share, 2019 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2023 to 2031 for the following By Application:

6.2.1. Precision Crop Farming

6.2.1.1. Yield Monitoring and Farm Mapping
6.2.1.2. Crop Scouting
6.2.1.3. Weather Tracking and Forecasting
6.2.1.4. Irrigation Management
6.2.1.5. Farm Economics
6.2.1.6. Others

6.2.2. Livestock Monitoring & Management

6.2.2.1. Milk Harvesting
6.2.2.2. Animal Health Monitoring and Comfort
6.2.2.3. Feeding Management
6.2.2.4. Heat Stress and Fertility Monitoring
6.2.2.5. Others

6.2.3. Indoor Farming

6.2.3.1. HVAC Management
6.2.3.2. Lighting Management
6.2.3.3. Plant Development Monitoring
6.2.3.4. Others

6.2.4. Aquaculture

6.2.4.1. Feed Management
6.2.4.2. Aquatic Species Tracking and Navigation
6.2.4.3. Water Quality Management
6.2.4.4. Others

6.2.5. Others

Chapter 7. Market Segmentation 3: By Farm Produce Estimates & Trend Analysis
7.1. By Farm Produce & Market Share, 2019 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2023 to 2031 for the following By Farm Produce:

7.2.1. Cereals
7.2.2. Oil Crops
7.2.3. Fibre Crops
7.2.4. Pulses
7.2.5. Fruits
7.2.6. Vegetables
7.2.7. Tree Nuts
7.2.8. Roots and Tubers

Chapter 8. Farm Management Software and Data Analytics Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Farm Management Software and Data Analytics Market revenue (US$ Million) estimates and forecasts By Solutions, 2023-2031
8.1.2. North America Farm Management Software and Data Analytics Market revenue (US$ Million) estimates and forecasts By Application, 2023-2031
8.1.3. North America Farm Management Software and Data Analytics Market revenue (US$ Million) estimates and forecasts By Farm Produce, 2023-2031
8.1.4. North America Farm Management Software and Data Analytics Market revenue (US$ Million) estimates and forecasts By End User, 2023-2031
8.1.5. North America Farm Management Software and Data Analytics Market revenue (US$ Million) estimates and forecasts by country, 2023-2031

8.2. Europe

8.2.1. Europe Farm Management Software and Data Analytics Market revenue (US$ Million) By Solutions, 2023-2031
8.2.2. Europe Farm Management Software and Data Analytics Market revenue (US$ Million) By Application, 2023-2031
8.2.3. Europe Farm Management Software and Data Analytics Market revenue (US$ Million) By Farm Produce, 2023-2031
8.2.4. Europe Farm Management Software and Data Analytics Market revenue (US$ Million) By End User, 2023-2031
8.2.5. Europe Farm Management Software and Data Analytics Market revenue (US$ Million) by country, 2023-2031

8.3. Asia Pacific

8.3.1. Asia Pacific Farm Management Software and Data Analytics Market revenue (US$ Million) By Solutions, 2023-2031
8.3.2. Asia Pacific Farm Management Software and Data Analytics Market revenue (US$ Million) By Application, 2023-2031
8.3.3. Asia Pacific Farm Management Software and Data Analytics Market revenue (US$ Million) By Farm Produce, 2023-2031
8.3.4. Asia Pacific Farm Management Software and Data Analytics Market revenue (US$ Million) By End User, 2023-2031
8.3.5. Asia Pacific Farm Management Software and Data Analytics Market revenue (US$ Million) by country, 2023-2031

8.4. Latin America

8.4.1. Latin America Farm Management Software and Data Analytics Market revenue (US$ Million) By Solutions, (US$ Million) 2023-2031
8.4.2. Latin America Farm Management Software and Data Analytics Market revenue (US$ Million) By Application, (US$ Million) 2023-2031
8.4.3. Latin America Farm Management Software and Data Analytics Market revenue (US$ Million) By Farm Produce, (US$ Million) 2023-2031
8.4.4. Latin America Farm Management Software and Data Analytics Market revenue (US$ Million) By End User, (US$ Million) 2023-2031
8.4.5. Latin America Farm Management Software and Data Analytics Market revenue (US$ Million) by country, 2023-2031

8.5. Middle East & Africa

8.5.1. Middle East & Africa Farm Management Software and Data Analytics Market revenue (US$ Million) By Solutions, (US$ Million) 2023-2031
8.5.2. Middle East & Africa Farm Management Software and Data Analytics Market revenue (US$ Million) By Application, (US$ Million) 2023-2031
8.5.3. Middle East & Africa Farm Management Software and Data Analytics Market revenue (US$ Million) By Farm Produce, (US$ Million) 2023-2031
8.5.4. Middle East & Africa Farm Management Software and Data Analytics Market revenue (US$ Million) By End User, (US$ Million) 2023-2031
8.5.5. Middle East & Africa Farm Management Software and Data Analytics Market revenue (US$ Million) by country, 2023-2031

Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles


9.2.1. 365FarmNet GmbH
9.2.2. AgJunction
9.2.3. AGCO Corporation
9.2.4. Ag Leader Technology, Inc.
9.2.5. Agrinavia
9.2.6. Agroptima
9.2.7. aWhere, Inc.
9.2.8. BASF SECLAAS Group
9.2.9. CNH Industrial N.V.
9.2.10. CropIn Technology Solutions Pvt. Ltd
9.2.11. CropX Inc.
9.2.12. Deere & Company
9.2.13. DICKEY-john
9.2.14. EFC Systems Limited.
9.2.15. Farmers Edge Inc.
9.2.16. FarmLogs
9.2.17. Granular Inc.
9.2.18. Hexagon Agriculture
9.2.19. IBM Corporation
9.2.20. Iteris, Inc.
9.2.21. Kubota Corporation
9.2.22. Microsoft Corporation
9.2.23. Raven Industries Inc.
9.2.24. SourceTrace Systems
9.2.25. SST Development Group Inc.
9.2.26. The Climate Corporation (A Bayer AG Company)
9.2.27. Topcon Corporation
9.2.28. Trimble Inc.
9.2.29. Afimilk Ltd.
9.2.30. AgriWebb
9.2.31. BouMatic LLC.
9.2.32. Connecterra B.V.
9.2.33. Dairymaster
9.2.34. DeLaval
9.2.35. Evonik Industries AG
9.2.36. Fullwood Packo.
9.2.37. GEA Group.
9.2.38. ISAGRI
9.2.39. Lely S.a.r.l.
9.2.40. Valley Agricultural Software
9.2.41. Artemis
9.2.42. Infarm - Indoor Urban Farming Gmbh
9.2.43. Lettus Grow Ltd.
9.2.44. MotorLeaf Inc.
9.2.45. Tenacious Solutions Ltd
9.2.46. Aquabyte
9.2.47. Aquanetix Ltd.
9.2.48. Chetu Inc.
9.2.49. Eruvaka Technologies
9.2.50. XpertSea
9.2.51. Other Prominent Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

The Farm Management Software and Data Analytics Market Size is valued at USD 3.61 Bn in 2022 and is predicted to reach USD 12.79 Bn by the year 2031.

The Farm Management Software and Data Analytics Market is expected to grow at a 15.52% CAGR during the forecast period for 2023-2031.

365FarmNet GmbH, AgJunction, AGCO Corporation, Ag Leader Technology, Inc., Agrinavia, Agroptima, aWhere, Inc., BASF SECLAAS Group, CNH Industrial N.V.

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