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AI In Precision Farming Global Market Report 2025
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Precision farming integrates artificial intelligence (AI) technologies into agricultural processes to optimize crop yield, minimize resource usage, and enhance overall farm efficiency. Its purpose is to empower farmers with data-driven insights to boost productivity, sustainability, and profitability.

The primary AI techniques in precision farming include machine learning, computer vision, and others. Machine learning, a subset of AI, enables systems to learn and improve autonomously by analyzing data and recognizing patterns to make predictions or decisions without explicit programming. It is available in different forms such as hardware, software, AI-as-a-service, and services, catering to various applications like research, farm management, customized cultivation, and more

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and emerging trade disputes in spring 2025 are having a profound impact on the agriculture sector by driving up the costs of essential inputs such as seeds, fertilizers, and machinery components sourced from international markets. Higher duties on imported agrochemicals and farm equipment have substantially increased operational expenses for farmers. At the same time, retaliatory tariffs from key global buyers have reduced demand for major U.S. agricultural exports, including corn, wheat, and dairy, straining farm incomes. In response, many producers are exploring crop diversification, investing in precision agriculture to optimize resource use, and calling for government support through subsidies and improved trade access.

The AI in precision farming market research report is one of a series of new reports from The Business Research Company that provides AI in precision farming market statistics, including AI in precision farming industry global market size, regional shares, competitors with AI in precision farming market share, detailed AI in precision farming market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in precision farming industry. This AI in precision farming market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AI in precision farming market size has grown rapidly in recent years. It will grow from $0.78 billion in 2024 to $0.94 billion in 2025 at a compound annual growth rate (CAGR) of 19.4%. The growth in the historic period can be attributed to the evolution of AI algorithms, increased demand for food production, cost reduction, environmental sustainability, and government support and subsidies.

The AI in precision farming market size is expected to see rapid growth in the next few years. It will grow to $1.83 billion in 2029 at a compound annual growth rate (CAGR) of 18.2%. The growth in the forecast period can be attributed to the adoption of IoT devices, rising environmental concerns, increasing demand for sustainable agriculture, a shift towards smart farming systems, and demand for quality and traceability. Major trends in the forecast period include integration with robotics, tools for crop monitoring, adoption of AI for supply chain optimization, technology-driven precision irrigation systems, and the emergence of decision support systems.

The forecast of 18.2% growth over the next five years reflects a modest reduction of 0.7% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. There is potential for direct impact on the US due to restricted supply of autonomous field robots and crop analysis software from Germany and Japan, which may delay adoption of advanced farming techniques. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The limited availability of arable land is expected to drive the growth of the AI in precision farming market in the future. Arable land refers to land suitable for agricultural use, specifically for growing crops. The availability of arable land is constrained by several factors, including urbanization, soil degradation, and the pressures of climate change. AI in precision farming helps address the challenges posed by limited arable land by optimizing resource use and boosting crop productivity through data-driven insights and targeted interventions. For example, in August 2022, the United States Department of Agriculture (USDA) reported that the average value of farm real estate in the U.S. reached $3,800 per acre in 2022, an increase of $420 per acre or 12.4% from 2021. Moreover, the average value of cropland was $5,050 per acre, reflecting a rise of $630 per acre or 14.3% from the previous year. Therefore, the limited availability of arable land is fueling the growth of the AI in precision farming market.

Key players in the AI in precision farming sector are actively forging strategic partnerships to gain a competitive advantage. These collaborations are pivotal in advancing AI in precision farming by leveraging the strengths and resources of multiple organizations to develop innovative solutions, drive adoption, and tackle agriculture's key challenges. For instance, in March 2022, Sway AI, a US-based developer of no-code artificial intelligence applications, partnered with Trilogy Networks, a US-based agriculture technology company, to integrate AI technology into precision farming. This collaboration, within the Rural Cloud Initiative (RCI), aims to support and accelerate rural America's digital transformation. By addressing the issue of data fragmentation, Sway AI and Trilogy Networks aim to enhance decision-making across the entire production process through combined information.

In March 2024, GEA Group AG, a Germany-based industrial machinery company, acquired CattleEye Ltd. to bolster its portfolio with CattleEye's advanced AI solution for early detection of lameness in dairy cows. This acquisition underscores GEA's commitment to enhancing animal health and welfare as part of its Next Generation Farming strategy. CattleEye Ltd., based in the UK, specializes in developing AI solutions for precision farming, particularly for the dairy farming sector.

Major companies operating in the AI in precision farming market report are Microsoft Corporation; Robert Bosch GmbH; Intel Corporation; International Business Machines Corporation; Bayer AG; Deere & Company; SAP SE; Yara International ASA; DTN LLC; FarmWise Labs Inc.; Taranis Visual Ltd.; Blue River Technology Inc.; Agworld Inc.; Ceres Imaging Inc.; PrecisionHawk Inc.; FarmLogs Inc.; Prospera Technologies Ltd.; Arable Labs Inc.; Agribotix LLC; Resson Aerospace Corporation

North America was the largest region in the AI in precision farming market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in precision farming market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the AI in precision farming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in precision farming market consists of revenues earned by entities by providing services such as data analytics services, integration services, and telematics services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in precision farming market also includes sales of sensors, drones with imaging systems, satellite imaging systems, automated farming equipment, and IoT devices used to increase agriculture productivity. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Precision Farming Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in precision farming market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for ai in precision farming ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in precision farming market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. AI In Precision Farming Market Characteristics

3. AI In Precision Farming Market Trends And Strategies

4. AI In Precision Farming Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global AI In Precision Farming Growth Analysis And Strategic Analysis Framework

6. AI In Precision Farming Market Segmentation

7. AI In Precision Farming Market Regional And Country Analysis

8. Asia-Pacific AI In Precision Farming Market

9. China AI In Precision Farming Market

10. India AI In Precision Farming Market

11. Japan AI In Precision Farming Market

12. Australia AI In Precision Farming Market

13. Indonesia AI In Precision Farming Market

14. South Korea AI In Precision Farming Market

15. Western Europe AI In Precision Farming Market

16. UK AI In Precision Farming Market

17. Germany AI In Precision Farming Market

18. France AI In Precision Farming Market

19. Italy AI In Precision Farming Market

20. Spain AI In Precision Farming Market

21. Eastern Europe AI In Precision Farming Market

22. Russia AI In Precision Farming Market

23. North America AI In Precision Farming Market

24. USA AI In Precision Farming Market

25. Canada AI In Precision Farming Market

26. South America AI In Precision Farming Market

27. Brazil AI In Precision Farming Market

28. Middle East AI In Precision Farming Market

29. Africa AI In Precision Farming Market

30. AI In Precision Farming Market Competitive Landscape And Company Profiles

31. AI In Precision Farming Market Other Major And Innovative Companies

32. Global AI In Precision Farming Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Precision Farming Market

34. Recent Developments In The AI In Precision Farming Market

35. AI In Precision Farming Market High Potential Countries, Segments and Strategies

36. Appendix

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