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Agri-Tech Market: By Component, By Application, By Technology, and Region Forecast 2020-2031
Agri-Tech Market size was valued at US$ 14,200?million in 2024 and is expected to reach US$ 29,800 million by 2031, growing at a significant CAGR of 9.1?% from 2025-2031. Moreover, the U.S. Agri-Tech Market is projected to grow significantly, reaching an estimated value of US$?6,300?million by?2031. The market refers to the integration of advanced technologies such as artificial intelligence, Internet of Things (IoT), robotics, and data analytics into agricultural practices to improve productivity, efficiency, and sustainability. This market encompasses a wide range of solutions including precision farming, automated irrigation systems, drone-based crop monitoring, and smart supply chain management.
Agri-Tech is transforming traditional agriculture by enabling real-time decision-making, reducing resource wastage, and enhancing yield outcomes. The market is gaining traction due to rising food security concerns, labor shortages, climate variability, and growing demand for sustainable farming practices. With increasing investments from both private and public sectors, Agri-Tech is positioned as a critical driver in the modernization of global agriculture systems.
Based on the components:
Hardware is still the foundation of the Agri-Tech ecosystem, facilitating physical connectivity between digital systems and on-the-ground farm realities. Sensor-laden drones, GPS-laden tractors, automated irrigation systems, and field weather stations constitute the essence of precision agriculture infrastructure. Hardware is the leading segment because its main job is data generation, infusing real-time environmental, crop, and machinery information into digital analytics machines. With decreasing sensor prices and greater ruggedization for hostile environments, hardware uptake is increasing even in capital-constrained areas. From variable rate application enablement to crop health monitoring through NDVI imagery, smart hardware is not a cost-intensive extravagance but has become a business necessity for competitive, climate-resilient agriculture.
Based on the technology:
IoT is the technological hub of the Agri-Tech revolution, facilitating smooth machine-to-machine communication in fragmented agricultural settings. From networked weather stations to soil probes and animal wearables, IoT devices collect rich, location-based information in real-time. What is significant about IoT is that it can harmonize fragmented ag-processes, determining automated irrigation schedules, pest notifications, or equipment failure notices. Its scalability makes it suitable for big agribusinesses and smallholder cooperatives alike. With low-power wide-area networks (LPWAN) and satellite-based IoT entering the scene, rural connectivity gaps are closing. Finally, IoT converts passive data collection into active decision systems, which turn farming smarter, quicker, and far more responsive to evolving agro-climate conditions.
Based on the application:
Precision agriculture has emerged as the most impactful use case in Agri-Tech, transforming farm operations, measurement, and monitoring. The method combines satellite imagery, soil sensors, weather forecasting, and AI-powered suggestions to give farmers hyper-personalized decisions on planting, watering, fertilizing, and harvesting. What sets it on top is its clear contribution towards profitability, sustainability, and yield optimization. It minimizes wastage, lowers input costs, and maximizes utilization of resources, especially important under conditions of uncertainty related to climate. Precision agriculture also assists with traceability and adherence to future carbon and sustainability regulations. Its increasing importance is being seen not only in large-scale operations, but increasingly among forward-thinking small-scale farmers embracing mobile-enabled micro-precision frameworks.
Study Period
2025-2031Base Year
2024CAGR
9.1%Largest Market
North-AmericaFastest Growing Market
Asia-Pacific
The most dependable driver reshaping the Agri-Tech industry is the expanding role of digital infrastructure in rural and semi-rural farm economies. Rising smartphone penetration, affordable data access, and growing digital literacy among farmers are enabling agri-tech platforms ranging from crop diagnostics to input marketplaces to engage more active, scalable user bases. Governments in India, Kenya, Brazil, and parts of Southeast Asia such as Indonesia and Vietnam are integrating agriculture into their national digital strategies, fostering interoperability across weather data, soil health maps, and agri-credit scoring. This convergence of public systems with private agri-intelligence platforms is giving rise to real-time advisory services, dynamic price discovery, and traceability at the farm-gate level. These advancements are not just digitizing production they are redistributing power across fragmented agri-value chains.
One of the most critical setbacks to Agri-Tech adoption is the fragmentation of the data ecosystem and the lack of interoperability across platforms. While numerous startups and agribusinesses offer data-driven solutions, these often operate in isolated silos with proprietary data formats and closed APIs, limiting seamless integration and cross-platform functionality. This disconnects hampers holistic, farm-level decision-making, as key inputs such as weather forecasts, crop recommendations, and yield predictions fail to synchronize or update in tandem. For smallholder farmers, particularly in emerging markets, toggling between conflicting advisories across different apps often leads to confusion and fatigue rather than empowerment.
Moreover, the absence of clear regulatory frameworks for agri-data governance has made it difficult to build trust, especially among cooperatives and Farmer Producer Organizations (FPOs), many of whom remain hesitant to embrace full-scale digital adoption.
One of the most transformative opportunities in Agri-Tech lies in the integration of embedded financial services within digital platforms. Traditional, collateral-based agri-financing models have largely excluded small and medium farmers who often lack formal credit histories or secure land titles. Agri-Tech startups are now layering fintech solutions that leverage alternative data such as irrigation patterns, transaction histories, and satellite-tracked yield to underwrite input credit, weather-indexed insurance, and microloans. These embedded financial models not only expand financial inclusion but also create a unified digital ecosystem where farmers can access advisory, inputs, market linkages, and credit through a single platform. As adoption deepens, such models have the potential to fundamentally reshape smallholder farming by turning farmers into data-rich, credit-worthy microenterprises.
The most significant trend in the Agri-Tech ecosystem is the rapid mainstreaming of satellite and geospatial intelligence into everyday farming practices. Once limited to government agencies or large enterprises, satellite data is now democratized through strategic partnerships between space-tech firms and agri-startups. These collaborations enable hyperlocal crop monitoring, weather tracking, soil moisture assessment, and early pest detection delivered instantly to farmers via mobile dashboards. In countries like India and Brazil, satellite insights are integrated with farm-level data to provide precision advisories on planting schedules, irrigation timing, and risk management strategies. This geospatial visibility goes beyond yield optimization, revolutionizing insurance underwriting, credit evaluation, and pricing and delivery of agricultural inputs, thereby enhancing service efficiency and scalability.
Report Benchmarks |
Details |
Report Study Period |
2025-2031 |
Market Size in 2031 |
US$ 29,800 million |
Market CAGR |
9.1% |
By Components |
|
By Technology |
|
By Application |
|
By Region |
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According to PBI Analyst, agricultural enzymes are no longer viewed as supplemental tools—they are now emerging as foundational elements of regenerative, input-efficient farming. Enzyme products like phosphatases and dehydrogenases are unlocking bound nutrients, reducing chemical dependency, and enhancing microbial soil balance, which directly supports plant health and yield stability. Precision formulation tailored to soil types and cropping systems, along with digital ag platforms that guide application timing and dosage, are accelerating adoption. North America remains the innovation hub, but the Asia-Pacific region is scaling rapidly due to policy push and resource challenges. With increasing demand for residue-free food and scalable biological inputs, enzymes are cementing their role in future-fit farm systems globally.
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The agri-tech market size was valued at US$ 14,200?million in 2024 and is projected to grow at a significant CAGR of 9.1?% from 2025-2031.
Key drivers include the shift toward regenerative agriculture, rising awareness of soil degradation, and increasing regulatory pressure to reduce synthetic fertilizer use.
A major trend is the emergence of precision-formulated enzyme blends, tailored to specific crops, soils, and climate zones, enhancing performance and application efficiency.
Market research is segmented based on components, technology, application and region.
Asia-Pacific is the fastest-growing region, driven by national policies promoting organic practices, increasing soil health concerns, and adoption by smallholder-focused agri-input providers.
1.Executive Summary |
2.Global Agri-Tech Market Introduction |
2.1.Global Agri-Tech Market - Taxonomy |
2.2.Global Agri-Tech Market - Definitions |
2.2.1.Components |
2.2.2.Technology |
2.2.3.Application |
2.2.4.Region |
3.Global Agri-Tech Market Dynamics |
3.1. Drivers |
3.2. Restraints |
3.3. Opportunities/Unmet Needs of the Market |
3.4. Trends |
3.5. Product Landscape |
3.6. New Product Launches |
3.7. Impact of COVID 19 on Market |
4.Global Agri-Tech Market Analysis, 2020 - 2024 and Forecast 2025 - 2031 |
4.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
4.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) |
4.3. Market Opportunity Analysis |
5.Global Agri-Tech Market By Components, 2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
5.1. Hardware |
5.1.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
5.1.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
5.1.3. Market Opportunity Analysis |
5.2. Software |
5.2.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
5.2.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
5.2.3. Market Opportunity Analysis |
5.3. Service |
5.3.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
5.3.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
5.3.3. Market Opportunity Analysis |
6.Global Agri-Tech Market By Technology, 2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
6.1. AI |
6.1.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
6.1.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
6.1.3. Market Opportunity Analysis |
6.2. IoT |
6.2.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
6.2.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
6.2.3. Market Opportunity Analysis |
6.3. Automation |
6.3.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
6.3.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
6.3.3. Market Opportunity Analysis |
6.4. Robotics |
6.4.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
6.4.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
6.4.3. Market Opportunity Analysis |
6.5. Others |
6.5.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
6.5.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
6.5.3. Market Opportunity Analysis |
7.Global Agri-Tech Market By Application, 2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
7.1. Precision Farming |
7.1.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
7.1.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
7.1.3. Market Opportunity Analysis |
7.2. Farm Management |
7.2.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
7.2.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
7.2.3. Market Opportunity Analysis |
7.3. Livestock Monitoring |
7.3.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
7.3.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
7.3.3. Market Opportunity Analysis |
7.4. Quality Management |
7.4.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
7.4.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
7.4.3. Market Opportunity Analysis |
7.5. Others |
7.5.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
7.5.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
7.5.3. Market Opportunity Analysis |
8.Global Agri-Tech Market By Region, 2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
8.1. North America |
8.1.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
8.1.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
8.1.3. Market Opportunity Analysis |
8.2. Europe |
8.2.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
8.2.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
8.2.3. Market Opportunity Analysis |
8.3. Asia Pacific (APAC) |
8.3.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
8.3.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
8.3.3. Market Opportunity Analysis |
8.4. Middle East and Africa (MEA) |
8.4.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
8.4.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
8.4.3. Market Opportunity Analysis |
8.5. Latin America |
8.5.1. Market Analysis, 2020 - 2024 and Forecast, 2025 - 2031, (Sales Value USD Million) |
8.5.2. Year-Over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
8.5.3. Market Opportunity Analysis |
9.North America Agri-Tech Market ,2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
9.1. Components Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
9.1.1.Hardware |
9.1.2.Software |
9.1.3.Service |
9.2. Technology Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
9.2.1.AI |
9.2.2.IoT |
9.2.3.Automation |
9.2.4.Robotics |
9.2.5.Others |
9.3. Application Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
9.3.1.Precision Farming |
9.3.2.Farm Management |
9.3.3.Livestock Monitoring |
9.3.4.Quality Management |
9.3.5.Others |
9.4. Country Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
9.4.1.United States of America (USA) |
9.4.2.Canada |
10.Europe Agri-Tech Market ,2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
10.1. Components Analysis and Forecast by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
10.1.1.Hardware |
10.1.2.Software |
10.1.3.Service |
10.2. Technology Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
10.2.1.AI |
10.2.2.IoT |
10.2.3.Automation |
10.2.4.Robotics |
10.2.5.Others |
10.3. Application Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
10.3.1.Precision Farming |
10.3.2.Farm Management |
10.3.3.Livestock Monitoring |
10.3.4.Quality Management |
10.3.5.Others |
10.4. Country Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
10.4.1.Germany |
10.4.2.France |
10.4.3.Italy |
10.4.4.United Kingdom (UK) |
10.4.5.Spain |
11.Asia Pacific (APAC) Agri-Tech Market ,2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
11.1. Components Analysis and Forecast by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
11.1.1.Hardware |
11.1.2.Software |
11.1.3.Service |
11.2. Technology Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
11.2.1.AI |
11.2.2.IoT |
11.2.3.Automation |
11.2.4.Robotics |
11.2.5.Others |
11.3. Application Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
11.3.1.Precision Farming |
11.3.2.Farm Management |
11.3.3.Livestock Monitoring |
11.3.4.Quality Management |
11.3.5.Others |
11.4. Country Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
11.4.1.China |
11.4.2.India |
11.4.3.Australia and New Zealand (ANZ) |
11.4.4.Japan |
11.4.5.Rest of APAC |
12.Middle East and Africa (MEA) Agri-Tech Market ,2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
12.1. Components Analysis and Forecast by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
12.1.1.Hardware |
12.1.2.Software |
12.1.3.Service |
12.2. Technology Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
12.2.1.AI |
12.2.2.IoT |
12.2.3.Automation |
12.2.4.Robotics |
12.2.5.Others |
12.3. Application Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
12.3.1.Precision Farming |
12.3.2.Farm Management |
12.3.3.Livestock Monitoring |
12.3.4.Quality Management |
12.3.5.Others |
12.4. Country Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
12.4.1.GCC Countries |
12.4.2.South Africa |
12.4.3.Rest of MEA |
13.Latin America Agri-Tech Market ,2020 - 2024 and Forecast 2025 - 2031 (Sales Value USD Million) |
13.1. Components Analysis and Forecast by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
13.1.1.Hardware |
13.1.2.Software |
13.1.3.Service |
13.2. Technology Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
13.2.1.AI |
13.2.2.IoT |
13.2.3.Automation |
13.2.4.Robotics |
13.2.5.Others |
13.3. Application Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
13.3.1.Precision Farming |
13.3.2.Farm Management |
13.3.3.Livestock Monitoring |
13.3.4.Quality Management |
13.3.5.Others |
13.4. Country Analysis 2020 - 2024 and Forecast 2025 - 2031 by Sales Value USD Million, Y-o-Y Growth (%), and Market Share (%) |
13.4.1.Brazil |
13.4.2.Mexico |
13.4.3.Rest of LA |
14. Competition Landscape |
14.1. Market Player Profiles (Introduction, Brand/Product Sales, Financial Analysis, Product Offerings, Key Developments, Collaborations, M & A, Strategies, and SWOT Analysis) |
14.2.1.WayCool |
14.2.2.Mankind Agritech |
14.2.3.Ken Agritech |
14.2.4.Chifu Agritech Private Limited |
14.2.5.ARSR Tech |
14.2.6.AeroFarms |
14.2.7.Apollo Agriculture |
14.2.8.Crofarm Agriproducts Pvt Ltd |
14.2.9.Conservis |
14.2.10.Indigo Ag Inc. |
14.2.11.LettUs Grow Ltd. |
14.2.12.Pivot Bio |
14.2.13.AgBiome Inc. |
14.2.14.Ceres Imaging |
14.2.15.AgWorld |
14.2.16.Hortau |
14.2.17.Harvest Automation |
14.2.18.Farmers Business Network |
15. Research Methodology |
16. Appendix and Abbreviations |
Key Market Players