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2026 Global: Agricultural Analytics Market-Competitive Review (2032) report

Publisher PerryHope Partners
Published Dec 15, 2025
Length 32 Pages
SKU # PHP20693867

Description

The 2026 Global: Agricultural Analytics Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.

Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).

The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for agricultural analytics market by geography and historical trend. The scope of the report extends to sizing of the agricultural analytics market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.

The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?

The ten market players in this report and a brief synopsis of their participation in the market are:

Trimble Inc., Deere & Company (John Deere), IBM Corporation, SAP SE, Oracle Corporation, Bayer’s digital and data units (including The Climate Corporation), Farmers Business Network (FBN), Geosys, Conservis, and Taranis are widely recognized as ten major companies shaping the agricultural analytics market due to their scale, product breadth, and integration of telemetry, satellite imagery, AI, and farm-management platforms. Trimble and John Deere lead on equipment-integrated analytics and precision-ag workflows by embedding sensors and telematics into tractors, combines, and guidance systems to deliver variable-rate prescriptions, yield mapping, and machinery-telemetry-driven insights. IBM and SAP bring enterprise-grade analytics, cloud-scale data integration, and AI-modeling capabilities for yield prediction, supply-chain forecasting, and agronomic decision support, enabling large growers and agribusinesses to operationalize analytics across multi-site operations. Oracle and other enterprise software vendors supply data platforms and analytics that connect inputs, weather, and market signals to support procurement, commodity risk management, and large-scale operational planning.

Bayer’s digital offerings, including The Climate Corporation, and Farmers Business Network distinguish themselves by combining vast proprietary agronomic and crowd-sourced datasets with predictive models and benchmarking tools to provide seed performance analytics, insurance-grade risk models, and farmer-to-farmer benchmarking services that influence input decisions and pricing strategies. Geosys and Taranis specialize in remote-sensing and crop-intelligence layers—Geosys with scalable satellite-derived indices and weather-normalized agronomic models for monitoring large acreages, and Taranis with high-resolution aerial and leaf-level imaging plus AI that flags early pest, disease, and nutrient issues for actionable interventions. Conservis focuses on farm-management systems that centralize operational, financial, and agronomic data to produce compliance reporting, cost-of-production analytics, and enterprise dashboards that help growers link decisions to margins and lender requirements.

Collectively these ten firms cover the full stack of agricultural analytics: edge and machine telemetry (Trimble, Deere), satellite and aerial intelligence (Geosys, Taranis), enterprise analytics and cloud AI (IBM, SAP, Oracle), platform- and community-driven benchmarking and commerce (FBN, The Climate Corporation), and integrated farm-management ERP and compliance solutions (Conservis). Their competitive differentiation rests on data ownership and integration (equipment OEM telematics, crowd-sourced farm performance, and satellite archives), partnerships across input manufacturers and insurers, and the ability to deliver localized prescriptions and predictive models at scale—factors that drive adoption in North America and fast growth in Asia-Pacific where digital farming programs and connectivity investments are expanding market reach.

Table of Contents

32 Pages
1.0 Scope of Report and Methodology
2.0 Market SWOT Analysis and Players
2.1 Market Definition
2.2 Market Segments
2.3 Market Strengths
2.4 Market Weaknesses
2.5 Market Threats
2.6 Market Opportunities
2.7 Major Players
3.0 Competitive Analysis
3.1 Market Player 1
3.2 Market Player 2
3.3 Market Player 3
3.4 Market Player 4
3.5 Market Player 5
3.6 Market Player 6
3.7 Market Player 7
3.8 Market Player 8
3.9 Market Player 9
3.10 Market Player 10
4.0 Comparative Business Strategies
4.1 Comparative Business Strategies of Player 1 and 2
4.2 Comparative Business Strategies of Player 1 and 3
4.3 Comparative Business Strategies of Player 1 and 4
4.4 Comparative Business Strategies of Player 2 and 3
4.5 Comparative Business Strategies of Player 2 and 4
4.6 Comparative Business Strategies of Player 3 and 4
5.0 Appendix

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