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    Agriculture Analytics Market

    ID: MRFR/ICT/8925-HCR
    141 Pages
    Aarti Dhapte
    October 2025

    Agriculture Analytics Market Research Report Information By Component (Solution and Services), By Farm Size (Large Farms, Small Farms and Medium-Sized Farms), By Deployment Modes (Cloud and On-Premises), By Application (Farm Analytics, Livestock Analytics, Aquaculture Analytics) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2035.

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    Agriculture Analytics Market Infographic
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    Agriculture Analytics Market Summary

    As per MRFR analysis, the Agriculture Analytics Market was estimated at 3.32 USD Billion in 2024. The Agriculture Analytics industry is projected to grow from 3.422 USD Billion in 2025 to 4.626 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 3.06 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The Agriculture Analytics Market is poised for substantial growth driven by technological advancements and increasing demand for sustainable practices.

    • The integration of IoT in agriculture is transforming data collection and analysis, enhancing operational efficiency.
    • Precision agriculture is on the rise, enabling farmers to optimize resources and improve crop yields.
    • North America remains the largest market, while Asia-Pacific is emerging as the fastest-growing region in agriculture analytics.
    • Key drivers include the increasing demand for food security and advancements in data analytics technologies, particularly benefiting large farms.

    Market Size & Forecast

    2024 Market Size 3.32 (USD Billion)
    2035 Market Size 4.626 (USD Billion)
    CAGR (2025 - 2035) 3.06%

    Major Players

    Bayer (DE), Corteva (US), Syngenta (CH), Trimble (US), AG Leader Technology (US), Taranis (IL), FarmLogs (US), Granular (US), IBM (US), Microsoft (US)

    Agriculture Analytics Market Trends

    The Agriculture Analytics Market is currently experiencing a transformative phase, driven by advancements in technology and the increasing need for sustainable farming practices. As agricultural stakeholders seek to optimize yields and reduce waste, data-driven insights are becoming indispensable. The integration of artificial intelligence, machine learning, and big data analytics is reshaping traditional farming methods, allowing for more precise decision-making. This shift not only enhances productivity but also promotes environmental stewardship, as farmers can better manage resources and minimize their ecological footprint. Moreover, the growing emphasis on food security and climate resilience is propelling the demand for sophisticated analytics solutions. Stakeholders are increasingly recognizing the value of predictive analytics in anticipating market trends and consumer preferences. This trend suggests a future where agriculture is not merely reactive but proactive, leveraging data to navigate challenges and seize opportunities. As the Agriculture Analytics Market evolves, collaboration among technology providers, farmers, and policymakers will likely play a crucial role in shaping its trajectory, ensuring that innovations align with the broader goals of sustainability and efficiency.

    Integration of IoT in Agriculture

    The incorporation of Internet of Things (IoT) devices is revolutionizing the Agriculture Analytics Market. Sensors and connected devices enable real-time monitoring of soil conditions, crop health, and weather patterns. This data facilitates informed decision-making, allowing farmers to optimize resource usage and enhance productivity.

    Rise of Precision Agriculture

    Precision agriculture is gaining traction as a key trend within the Agriculture Analytics Market. By utilizing data analytics, farmers can tailor their practices to specific field conditions, leading to improved crop yields and reduced input costs. This approach emphasizes efficiency and sustainability, aligning with modern agricultural goals.

    Focus on Sustainable Practices

    Sustainability is becoming a central theme in the Agriculture Analytics Market. As consumers demand more environmentally friendly products, analytics tools are helping farmers adopt practices that minimize environmental impact. This trend indicates a shift towards responsible farming, where data-driven insights guide sustainable decision-making.

    Agriculture Analytics Market Drivers

    Government Initiatives and Support

    Government initiatives play a crucial role in shaping the Agriculture Analytics Market. Various governments are recognizing the importance of data-driven agriculture and are implementing policies to support the adoption of analytics technologies. For example, funding programs and grants are being offered to encourage farmers to invest in analytics tools that enhance productivity and sustainability. In many regions, governments are also collaborating with technology providers to develop platforms that facilitate data sharing and analytics. This support not only accelerates the adoption of innovative practices but also fosters a culture of research and development within the agricultural sector. As a result, the Agriculture Analytics Market is likely to benefit from increased investment and innovation, ultimately leading to improved agricultural outcomes and economic growth.

    Increasing Demand for Food Security

    The Agriculture Analytics Market is experiencing a surge in demand driven by the need for enhanced food security. As the global population continues to grow, the pressure on agricultural systems intensifies. Analytics tools enable farmers to optimize crop yields and resource utilization, thereby addressing food scarcity concerns. According to recent data, the world population is projected to reach approximately 9.7 billion by 2050, necessitating a 70 percent increase in food production. This scenario compels stakeholders in the Agriculture Analytics Market to adopt data-driven strategies to ensure sustainable food supply chains. The integration of analytics in agriculture not only aids in predicting crop performance but also assists in managing risks associated with climate change and market fluctuations, thereby reinforcing the industry's role in achieving food security.

    Rising Adoption of Precision Agriculture

    The rising adoption of precision agriculture is a key driver for the Agriculture Analytics Market. Precision agriculture employs data analytics to monitor and manage field variability in crops, optimizing inputs such as water, fertilizers, and pesticides. This approach not only enhances crop yields but also minimizes environmental impact, aligning with sustainable farming practices. Recent studies indicate that precision agriculture can lead to yield increases of up to 20 percent while reducing input costs by 10 to 15 percent. As more farmers recognize the benefits of precision agriculture, the demand for analytics tools that support these practices is expected to grow. Consequently, the Agriculture Analytics Market is poised for expansion as stakeholders seek to leverage data for improved agricultural efficiency and sustainability.

    Advancements in Data Analytics Technologies

    Technological advancements in data analytics are significantly influencing the Agriculture Analytics Market. The emergence of sophisticated algorithms and machine learning techniques allows for more accurate predictions and insights into agricultural practices. For instance, the use of big data analytics enables farmers to analyze vast amounts of information, from soil health to weather patterns, leading to informed decision-making. The market for agricultural analytics is projected to grow at a compound annual growth rate of over 15 percent, reflecting the increasing reliance on technology in farming. These advancements not only enhance productivity but also contribute to cost reduction, making agriculture more efficient. As farmers and agribusinesses increasingly adopt these technologies, the Agriculture Analytics Market is likely to witness substantial growth, driven by the need for precision and efficiency in agricultural operations.

    Growing Awareness of Sustainable Farming Practices

    There is a growing awareness of sustainable farming practices, which is significantly influencing the Agriculture Analytics Market. As consumers become more conscious of the environmental impact of agriculture, there is an increasing demand for practices that promote sustainability. Analytics tools provide farmers with insights into sustainable practices, enabling them to make informed decisions that reduce waste and enhance resource efficiency. The market for sustainable agriculture is projected to reach substantial figures, reflecting the shift towards eco-friendly practices. By utilizing analytics, farmers can track their environmental footprint and implement strategies that align with sustainability goals. This trend not only benefits the environment but also enhances the reputation of agricultural products, thereby driving demand in the Agriculture Analytics Market.

    Market Segment Insights

    By Components: Solution (Largest) vs. Service (Fastest-Growing)

    In the Agriculture Analytics Market, the Components segment is characterized by two main values: Solution and Service. The Solution segment holds the majority of the market share, driven by the demand for robust analytical tools that enable farmers and agricultural businesses to derive actionable insights from data. These solutions encompass software applications for crop management, yield prediction, and resource optimization, making them indispensable in modern agriculture. On the other hand, the Service segment is experiencing rapid growth as more businesses recognize the value of tailored consulting and support services. These services, which include data analysis, system integration, and strategic advisory, are becoming crucial as agricultural businesses seek to implement solutions effectively and harness the full potential of technology in their operations. The trend is fueled by increasing digitalization and the need for customized analytics in farming practices.

    Solution (Dominant) vs. Service (Emerging)

    The Solution segment in the Agriculture Analytics Market is recognized as the dominant component, offering essential tools that help agricultural stakeholders make informed decisions based on data-driven insights. These solutions are often characterized by their ability to integrate with various agricultural processes, providing features such as precision farming, demand forecasting, and risk assessment. Meanwhile, the Service segment is emerging rapidly, reflecting a growing recognition of the importance of expert guidance in deploying agricultural analytics solutions. Services such as training, ongoing support, and custom analytics solutions are becoming increasingly popular as they enable businesses to better adapt to changing agricultural landscapes and technological advancements. Together, these components illustrate the diverse landscape of the market, catering to varied needs and capacities of agricultural enterprises.

    By Farm Size: Large Farms (Largest) vs. Small Farms (Fastest-Growing)

    In the Agriculture Analytics Market, the distribution of market share among various farm sizes reveals significant insights. Large farms dominate the segment due to economies of scale, advanced technology adoption, and access to resources. Their expansive operations allow them to integrate analytics into their farming practices more comprehensively. On the other hand, small farms, while holding a smaller market share, are increasingly leveraging analytics to enhance productivity and sustainability, thus driving their growth in the market.

    Large Farms (Dominant) vs. Small Farms (Emerging)

    Large farms have established themselves as the dominant players in the Agriculture Analytics Market, utilizing sophisticated analytics solutions to optimize production, improve supply chain efficiencies, and manage operational costs. These farms often benefit from larger budgets for technology adoption and the ability to experiment with innovative agricultural practices. In contrast, small farms represent an emerging segment, capitalizing on the increasing availability of affordable analytics tools that help them make data-driven decisions. This shift is fostering greater resilience and sustainability, allowing small farms to compete more effectively against their larger counterparts. The integration of analytics in small farms is seen as a transformative step that could redefine their growth trajectory.

    By Deployment Modes: Cloud (Largest) vs. On-Premises (Fastest-Growing)

    In the Agriculture Analytics Market, the dominant deployment mode is Cloud, which holds a significant share due to its scalability, flexibility, and lower upfront costs. This deployment mode allows agricultural businesses to easily access advanced analytics tools and data-driven insights through the internet, enhancing operational efficiency and decision-making processes. On-Premises deployment, while smaller in market share, is gaining traction among organizations preferring higher security and control over their data. This mode is extensively adopted by larger enterprises that need to comply with strict data regulations.

    Deployment Modes: Cloud (Dominant) vs. On-Premises (Emerging)

    The Cloud deployment mode in the Agriculture Analytics Market is recognized for its ability to provide real-time data analysis and remote accessibility from various devices. It caters particularly to smaller farms and agritech startups that require cost-effective solutions without heavy infrastructure investments. In contrast, the On-Premises deployment mode appeals to larger agricultural businesses who prioritize data security and customizability. These enterprises often have dedicated IT resources and regulatory requirements that necessitate data being housed within their own premises, making it an emerging alternative despite its higher implementation costs. Together, these deployment modes shape the technological landscape of agriculture analytics, each serving distinct preferences and operational needs.

    By Application: Farm Analytics (Largest) vs. Livestock Analytics (Fastest-Growing)

    In the Agriculture Analytics Market, the distribution of market share across the application segments illustrates a clear hierarchy. Farm Analytics, focusing on crop yield optimization and resource management, currently holds the largest market share due to its widespread utility among farmers looking to enhance productivity. In contrast, Livestock Analytics, which involves monitoring livestock health and optimizing feed efficiency, is gaining traction among agricultural stakeholders, leading to its status as the fastest-growing segment in this domain. As agricultural practices continue to evolve with the integration of technology, the growth trends within the Agriculture Analytics Market are being driven primarily by increasing demand for data-driven insights. The adoption of advanced analytics tools, combined with a rising focus on sustainable farming practices, has propelled Livestock Analytics forward. Additionally, the COVID-19 pandemic has accelerated digital transformation in farming, deepening dependence on analytics for operational efficiency and decision-making, thereby boosting both application segments significantly.

    Farm Analytics (Dominant) vs. Aquaculture Analytics (Emerging)

    Farm Analytics has established itself as the dominant application in the Agriculture Analytics Market, serving as a fundamental pillar for agricultural productivity. This segment leverages data analytics to optimize growth conditions, manage crop health, and ensure efficient resource use. In contrast, Aquaculture Analytics, while emerging, reflects a growing interest in optimizing fish farming operations through data insights. This sector is becoming increasingly relevant as global demand for seafood rises and sustainable practices take center stage. As such, Aquaculture Analytics is tapping into innovations like IoT and machine learning, promising enhanced yield management and better environmental performance. Both segments are crucial, but Farm Analytics continues to lead in adoption and market presence.

    Get more detailed insights about Agriculture Analytics Market

    Regional Insights

    North America : Innovation and Technology Leader

    North America is the largest market for agriculture analytics, holding approximately 45% of the global share. The region benefits from advanced technological infrastructure, significant investment in R&D, and a strong focus on sustainable farming practices. Regulatory support, such as the USDA's initiatives for precision agriculture, further drives demand for analytics solutions. The increasing need for data-driven decision-making in farming is propelling market growth. The United States and Canada are the leading countries in this region, with major players like Bayer, Corteva, and Trimble dominating the landscape. The competitive environment is characterized by continuous innovation and partnerships among tech firms and agricultural stakeholders. The presence of key players ensures a robust ecosystem for agriculture analytics, fostering advancements in crop management and yield optimization.

    Europe : Sustainable Agriculture Focus

    Europe is the second-largest market for agriculture analytics, accounting for around 30% of the global share. The region is witnessing a surge in demand for sustainable agricultural practices, driven by stringent EU regulations and policies aimed at reducing environmental impact. Initiatives like the European Green Deal are catalyzing investments in digital agriculture, enhancing the adoption of analytics solutions across the sector. Leading countries such as Germany, France, and the Netherlands are at the forefront of this transformation, with a strong presence of key players like Syngenta and Bayer. The competitive landscape is marked by collaborations between technology firms and agricultural cooperatives, fostering innovation in data analytics. The focus on precision farming and resource efficiency is reshaping the market dynamics, making Europe a pivotal player in the agriculture analytics space.

    Asia-Pacific : Rapid Growth and Adoption

    Asia-Pacific is witnessing rapid growth in the agriculture analytics market, holding approximately 20% of the global share. The region's increasing population and demand for food security are driving the adoption of advanced analytics solutions. Government initiatives aimed at modernizing agriculture and enhancing productivity are acting as significant catalysts for market growth. Countries like India and China are investing heavily in technology to improve agricultural efficiency and sustainability. China and India are the leading countries in this region, with a growing number of startups and established firms entering the agriculture analytics space. The competitive landscape is evolving, with local players collaborating with global tech giants like IBM and Microsoft to leverage data analytics for better crop management. The focus on smart farming and IoT integration is expected to further boost market growth in the coming years.

    Middle East and Africa : Emerging Market Potential

    The Middle East and Africa region is emerging as a potential market for agriculture analytics, currently holding about 5% of the global share. The region faces unique challenges such as water scarcity and arid climates, which are driving the need for innovative agricultural solutions. Government initiatives aimed at enhancing food security and sustainability are catalyzing investments in agriculture analytics, creating new opportunities for growth. Countries like South Africa and Kenya are leading the way in adopting analytics solutions, with a focus on improving crop yields and resource management. The competitive landscape is characterized by a mix of local startups and international players looking to tap into the region's potential. The increasing awareness of data-driven farming practices is expected to drive further growth in the agriculture analytics market in this region.

    Key Players and Competitive Insights

    Leading market players are investing heavily in research and development to expand their product lines, which will help the agriculture analytics market grow even more. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. The agriculture analytics industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.

    Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the agriculture analytics industry to benefit clients and increase the market sector. In recent years, the agriculture analytics industry has offered some of the most significant advantages to medicine.

    Major players in the agriculture analytics market, including Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US, and others, are attempting to increase market demand by investing in research and development operations.

    SAP SE (Germany) We are redefining ERP and building networks of intelligent enterprises that provide transparency, resiliency, and sustainability across supply chains to help businesses of all sizes and industries run better. We are the market leader in enterprise application software. Our customers can operate profitably, continuously adapt, and make a difference globally thanks to our comprehensive suite of applications and services. One of the world's top software developers for business process management, SAP creates products that streamline efficient data processing and information exchange between organizations.

    The business was founded in 1972 and was initially known as System Analysis Program Development (Systemanalyse Programmentwicklung), later becoming SAP. Since then, it has expanded from a five-person startup to a corporation with over 105,000 staff members based in Walldorf, Germany.

    IBM (US), To assist clients in finding solutions to their most pressing business problems, we combine all required technology and services, regardless of where those solutions originate. When clients pursue the digital transformation of the world's mission-critical businesses, IBM integrates technology and expertise, offering infrastructure, software (including market-leading Red Hat), and consulting services. We continued our history of sustainability leadership in 2021 when we declared a target of net-zero greenhouse gas emissions across all the nations where we do business by 2030.

    Key Companies in the Agriculture Analytics Market market include

    Industry Developments

    In Oct 2022, EOSDA joined hands with TelOne Pvt (Limited) to announce a strategic partnership that will enable the former to enter into the smart agriculture sector and assist Zimbabwe’s government, farmers, and other players in the agricultural value chain, such as financial institutions in creating communities’ value and contributing to country’s economy.

    In Oct 2022, AGDATA was purchased by Levine Leichtman Capital, thus enabling it to offer workflow solutions together with data within the agribusiness and animal health sectors.

    Linux Foundation is partnering with CGIAR on a research initiative aiming at developing an open-source standard for sharing geospatial data about farms.

    IBM announced its partnership with The Climate Corporation, a global technology solution provider–in March 2023. The collaboration focused on new IAAS that would specifically deal with data collection from various sources utilizing IBM Watson IoT platform. It is expected that this partnership between IBM and The Climate Corporation will help IMB enhance its agriculture offering portfolio.

    In January 2023 Nutrien Ag Solutions announced their partnership with John Deere who are global farm equipment providers. This will help in optimizing logistics of both companies toward serving growers better as expected of them.

    SAP Inc., which is a worldwide technology solution provider, declared its alliance with DeHaat Early this year. DeHaat plans to use SAP’s cloud enterprise ERP solution to provide comprehensive agricultural services throughout India. This initiative would increase DeHaat’s customer base thereby broadening its market reach.

    Trimble Inc., one of the world’s largest agriculture analytical solutions providers recently launched Virtual Farm globally aimed at helping farmers identify common challenges through digital farms in February 2022. This move is part of Trimble’s efforts aimed at increasing its customer base through digitizing their products or solutions

    Trimble Inc., which is among the leading global agricultural solution providers, launched Virtual Farm recently in February 2022. By using Trimble service lines like water management systems, the new virtual farm will help users deal with issues related to water management, input management among others.

    April 2024

    Cropin Technology, an agritech firm located in Bangaluru, has just announced the debut of 'akṣara', the first purpose-built open-source Micro Language Model (µ-LM) for climate-smart agriculture in the sector. This model is licensed under the Apache 2.0 license and does not impose any restrictions.

    On the basis of Mistral's foundational model, the micro language model was developed with the intention of addressing the challenges that are encountered by underserved farming communities in the Global South. This was accomplished by removing barriers to knowledge and empowering anyone involved in the agriculture ecosystem to construct AI solutions that are both cost-effective and scalable for the sector.

    Future Outlook

    Agriculture Analytics Market Future Outlook

    The Agriculture Analytics Market is projected to grow at a 3.06% CAGR from 2024 to 2035, driven by technological advancements, increasing demand for precision agriculture, and sustainability initiatives.

    New opportunities lie in:

    • Development of AI-driven predictive analytics tools for crop yield optimization.
    • Integration of IoT sensors for real-time soil health monitoring.
    • Expansion of data analytics services for supply chain efficiency in agriculture.

    By 2035, the Agriculture Analytics Market is expected to be robust, driven by innovation and strategic investments.

    Market Segmentation

    Agriculture Analytics Component Outlook

    • Solution
    • Services

    Agriculture Analytics Farm Size Outlook

    • Large Farms
    • Small Farms
    • Medium-Sized Farms

    Agriculture Analytics Application Outlook

    • Farm Analytics
    • Livestock Analytics
    • Aquaculture Analytics

    Agriculture Analytics Deployment Modes Outlook

    • Cloud
    • On-Premises

    Report Scope

    MARKET SIZE 20243.32(USD Billion)
    MARKET SIZE 20253.422(USD Billion)
    MARKET SIZE 20354.626(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)3.06% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMarket analysis in progress
    Segments CoveredMarket segmentation analysis in progress
    Key Market OpportunitiesIntegration of artificial intelligence and machine learning enhances decision-making in the Agriculture Analytics Market.
    Key Market DynamicsRising demand for precision agriculture drives technological advancements and competitive dynamics in the Agriculture Analytics Market.
    Countries CoveredNorth America, Europe, APAC, South America, MEA

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    What is the projected market valuation of the Agriculture Analytics Market in 2035?

    <p>The Agriculture Analytics Market is projected to reach a valuation of 4.626 USD Billion by 2035.</p>

    What was the market valuation of the Agriculture Analytics Market in 2024?

    <p>In 2024, the Agriculture Analytics Market was valued at 3.32 USD Billion.</p>

    What is the expected CAGR for the Agriculture Analytics Market during the forecast period 2025 - 2035?

    <p>The expected CAGR for the Agriculture Analytics Market during the forecast period 2025 - 2035 is 3.06%.</p>

    Which companies are considered key players in the Agriculture Analytics Market?

    <p>Key players in the Agriculture Analytics Market include Bayer, Corteva, Syngenta, Trimble, and IBM.</p>

    How are the components of the Agriculture Analytics Market segmented by valuation?

    <p>The components segment includes Solutions valued at 2.8 USD Billion and Services valued at 1.826 USD Billion.</p>

    What is the valuation of the Agriculture Analytics Market for large farms in 2025?

    <p>The valuation for large farms in the Agriculture Analytics Market is projected to be 2.1 USD Billion in 2025.</p>

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