Global Agriculture Analytics Market - Forecasts from 2025 to 2030
Description
Global Agriculture Analytics Market is projected to expand at a 15.15% CAGR, attaining USD 4.203 billion by 2030 from USD 2.076 billion in 2025.
Agriculture analytics represents the convergence of advanced technologies, including artificial intelligence, data mining, machine learning, and big data analytics, into the agricultural sector. This function of analytics serves as a sophisticated technology that provides farmers with real-time data on critical variables such as soil conditions, moisture levels, weather patterns, and crop health. The primary value of this technology lies in its capacity to support and enhance key farming and agricultural decision-making processes. Furthermore, its application extends beyond the field, benefiting agricultural supply chains by offering a platform that improves the flow of goods from production to market.
Key Growth Drivers in the Market
The expansion of the agriculture analytics market is propelled by several powerful, interconnected trends. A significant driver is the growing trend of digitalization and risk assessment within the industry. This is complemented by an increase in venture capital investments targeted at the development of cutting-edge agricultural technologies. A rising emphasis on urban farming is also contributing to market growth. Underpinning these trends are broader macroeconomic forces, including increased industrialization, the ongoing digitalization of the economy, globalization, and the expanding use of big data and Internet of Things (IoT) sensors in farming operations.
Within this framework, two specific drivers are shaping the industry's trajectory:
1. The Advancement of Farm-Based Analytics: The agriculture sector is experiencing significant transformation through the integration of data science and artificial intelligence to create on-farm predictive analytics. A notable trend is the emergence of subscription-based services, which aim to lower costs for farmers while providing access to real-time crop-condition notifications. These services leverage predictive modeling and job optimization to give agricultural producers greater control over their harvest outcomes. Companies in this space utilize platforms that integrate disparate data sources—such as satellite imagery, soil data, weather information, historical crop performance, and farm equipment data—to generate a comprehensive analysis of current field conditions and reliable forecasts for future productivity. This approach directly addresses concerns about the impact of variable weather and other environmental factors.
2. Focus on Profitability and Efficiency: The global market for agriculture analytics is being fueled by an intensified focus on enhancing profitability from agribusiness. Crop production is influenced by a complex array of variables, from seed selection and soil quality to fertilizer application and meteorological conditions. In this context, agriculture analytics has become an essential tool for optimizing inputs, boosting crop output, and ultimately increasing yield. Additionally, the increasing demands of livestock management are placing greater pressure on farmers, further promoting the adoption of analytics solutions worldwide. These technologies aid in reducing the risks associated with poor management and meet the growing need for precise livestock tracking. Agriculture analytics is thus a cornerstone of smart agriculture, which is widely regarded as a ground-breaking application of science and technology to farming practices.
Geographical Market Outlook
North America is projected to maintain its position as the prominent shareholder in the global agriculture analytics market throughout the forecast period. This leadership is primarily attributed to the region's considerable presence of established technology providers and the proliferation of government initiatives promoting smart farming. To maintain and strengthen their competitive edge in both regional and international markets, these firms are focusing on strategic activities such as forming alliances, pursuing mergers and acquisitions, and continuously developing cutting-edge solutions.
The region has witnessed a considerable shift from conventional agricultural operations to those structured for continuous improvement through the application of analytics and smart technologies. This transition is supported by the deployment of comprehensive agricultural solutions that combine predictive technology, IoT data, and specialized weather data to deliver actionable insights to farmers. These platforms are designed to inform critical activities across the farming lifecycle, including planning, plowing, planting, spraying, and harvesting.
In conclusion, the agriculture analytics market is being driven by the convergence of technological advancement, economic pressures for greater profitability, and a shifting agricultural paradigm towards data-driven decision-making. The industry's growth is further supported by significant investments and a robust technological ecosystem, particularly in leading regions such as North America, positioning analytics as a fundamental component of the future of efficient and sustainable agriculture.
Key Benefits of this Report:
Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.
What do businesses use our reports for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence
Report Coverage:
Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.
Segmentation:
GLOBAL AGRICULTURE ANALYTICS MARKET BY COMPONENT
Solutions
Services
GLOBAL AGRICULTURE ANALYTICS MARKET BY DEPLOYMENT
Cloud
On-Premise
GLOBAL AGRICULTURE ANALYTICS MARKET BY APPLICATION
Farm Analytics
Livestock Analytics
GLOBAL AGRICULTURE ANALYTICS MARKET BY FARM SIZE
Small & Medium Farms
Large Farms
GLOBAL AGRICULTURE ANALYTICS MARKET BY GEOGRAPHY
North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
United Kingdom
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
India
Japan
South Korea
Indonesia
Taiwan
Others
Agriculture analytics represents the convergence of advanced technologies, including artificial intelligence, data mining, machine learning, and big data analytics, into the agricultural sector. This function of analytics serves as a sophisticated technology that provides farmers with real-time data on critical variables such as soil conditions, moisture levels, weather patterns, and crop health. The primary value of this technology lies in its capacity to support and enhance key farming and agricultural decision-making processes. Furthermore, its application extends beyond the field, benefiting agricultural supply chains by offering a platform that improves the flow of goods from production to market.
Key Growth Drivers in the Market
The expansion of the agriculture analytics market is propelled by several powerful, interconnected trends. A significant driver is the growing trend of digitalization and risk assessment within the industry. This is complemented by an increase in venture capital investments targeted at the development of cutting-edge agricultural technologies. A rising emphasis on urban farming is also contributing to market growth. Underpinning these trends are broader macroeconomic forces, including increased industrialization, the ongoing digitalization of the economy, globalization, and the expanding use of big data and Internet of Things (IoT) sensors in farming operations.
Within this framework, two specific drivers are shaping the industry's trajectory:
1. The Advancement of Farm-Based Analytics: The agriculture sector is experiencing significant transformation through the integration of data science and artificial intelligence to create on-farm predictive analytics. A notable trend is the emergence of subscription-based services, which aim to lower costs for farmers while providing access to real-time crop-condition notifications. These services leverage predictive modeling and job optimization to give agricultural producers greater control over their harvest outcomes. Companies in this space utilize platforms that integrate disparate data sources—such as satellite imagery, soil data, weather information, historical crop performance, and farm equipment data—to generate a comprehensive analysis of current field conditions and reliable forecasts for future productivity. This approach directly addresses concerns about the impact of variable weather and other environmental factors.
2. Focus on Profitability and Efficiency: The global market for agriculture analytics is being fueled by an intensified focus on enhancing profitability from agribusiness. Crop production is influenced by a complex array of variables, from seed selection and soil quality to fertilizer application and meteorological conditions. In this context, agriculture analytics has become an essential tool for optimizing inputs, boosting crop output, and ultimately increasing yield. Additionally, the increasing demands of livestock management are placing greater pressure on farmers, further promoting the adoption of analytics solutions worldwide. These technologies aid in reducing the risks associated with poor management and meet the growing need for precise livestock tracking. Agriculture analytics is thus a cornerstone of smart agriculture, which is widely regarded as a ground-breaking application of science and technology to farming practices.
Geographical Market Outlook
North America is projected to maintain its position as the prominent shareholder in the global agriculture analytics market throughout the forecast period. This leadership is primarily attributed to the region's considerable presence of established technology providers and the proliferation of government initiatives promoting smart farming. To maintain and strengthen their competitive edge in both regional and international markets, these firms are focusing on strategic activities such as forming alliances, pursuing mergers and acquisitions, and continuously developing cutting-edge solutions.
The region has witnessed a considerable shift from conventional agricultural operations to those structured for continuous improvement through the application of analytics and smart technologies. This transition is supported by the deployment of comprehensive agricultural solutions that combine predictive technology, IoT data, and specialized weather data to deliver actionable insights to farmers. These platforms are designed to inform critical activities across the farming lifecycle, including planning, plowing, planting, spraying, and harvesting.
In conclusion, the agriculture analytics market is being driven by the convergence of technological advancement, economic pressures for greater profitability, and a shifting agricultural paradigm towards data-driven decision-making. The industry's growth is further supported by significant investments and a robust technological ecosystem, particularly in leading regions such as North America, positioning analytics as a fundamental component of the future of efficient and sustainable agriculture.
Key Benefits of this Report:
Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.
What do businesses use our reports for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence
Report Coverage:
Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.
Segmentation:
GLOBAL AGRICULTURE ANALYTICS MARKET BY COMPONENT
Solutions
Services
GLOBAL AGRICULTURE ANALYTICS MARKET BY DEPLOYMENT
Cloud
On-Premise
GLOBAL AGRICULTURE ANALYTICS MARKET BY APPLICATION
Farm Analytics
Livestock Analytics
GLOBAL AGRICULTURE ANALYTICS MARKET BY FARM SIZE
Small & Medium Farms
Large Farms
GLOBAL AGRICULTURE ANALYTICS MARKET BY GEOGRAPHY
North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
United Kingdom
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
India
Japan
South Korea
Indonesia
Taiwan
Others
Table of Contents
145 Pages
- 1. EXECUTIVE SUMMARY
- 2. MARKET SNAPSHOT
- 2.1. Market Overview
- 2.2. Market Definition
- 2.3. Scope of the Study
- 2.4. Market Segmentation
- 3. BUSINESS LANDSCAPE
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
- 3.4. Porter’s Five Forces Analysis
- 3.5. Industry Value Chain Analysis
- 3.6. Policies and Regulations
- 3.7. Strategic Recommendations
- 4. TECHNOLOGICAL OUTLOOK
- 5. GLOBAL AGRICULTURE ANALYTICS MARKET BY COMPONENT
- 5.
- 1. Introduction
- 5.2. Solutions
- 5.3. Services
- 6. GLOBAL AGRICULTURE ANALYTICS MARKET BY DEPLOYMENT
- 6.
- 1. Introduction
- 6.2. Cloud
- 6.3. On-Premise
- 7. GLOBAL AGRICULTURE ANALYTICS MARKET BY APPLICATION
- 7.
- 1. Introduction
- 7.2. Farm Analytics
- 7.3. Livestock Analytics
- 8. GLOBAL AGRICULTURE ANALYTICS MARKET BY FARM SIZE
- 8.
- 1. Introduction
- 8.2. Small & Medium Farms
- 8.3. Large Farms
- 9. GLOBAL AGRICULTURE ANALYTICS MARKET BY GEOGRAPHY
- 9.
- 1. Introduction
- 9.2. North America
- 9.2.1. USA
- 9.2.2. Canada
- 9.2.3. Mexico
- 9.3. South America
- 9.3.1. Brazil
- 9.3.2. Argentina
- 9.3.3. Others
- 9.4. Europe
- 9.4.1. Germany
- 9.4.2. France
- 9.4.3. United Kingdom
- 9.4.4. Spain
- 9.4.5. Others
- 9.5. Middle East and Africa
- 9.5.1. Saudi Arabia
- 9.5.2. UAE
- 9.5.3. Israel
- 9.5.4. Others
- 9.6. Asia Pacific
- 9.6.1. China
- 9.6.2. India
- 9.6.3. Japan
- 9.6.4. South Korea
- 9.6.5. Indonesia
- 9.6.6. Taiwan
- 9.6.7. Others
- 10. COMPETITIVE ENVIRONMENT AND ANALYSIS
- 10.1. Major Players and Strategy Analysis
- 10.2. Market Share Analysis
- 10.3. Mergers, Acquisitions, Agreements, and Collaborations
- 10.4. Competitive Dashboard
- 11. COMPANY PROFILES
- 11.1. Trimble Inc.
- 11.2. IBM Corporation
- 11.3. Deere & Company
- 11.4. Vistex, Inc.
- 11.5. Bayer AG
- 11.6. Iteris Inc
- 11.7. Ageagle Aerial Systems Inc
- 11.8. Agrivi
- 11.9. TELUS Corporation
- 11.10. Agremo
- 11.11. Oracle Corporation
- 11.12. Accenture PLC
- 12. APPENDIX
- 12.1. Currency
- 12.2. Assumptions
- 12.3. Base and Forecast Years Timeline
- 12.4. Key Benefits for the Stakeholders
- 12.5. Research Methodology
- 12.6. Abbreviations
- LIST OF FIGURES
- LIST OF TABLES
Pricing
Currency Rates
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